1. Which links in the mineral processing process are likely to affect efficiency? In the mineral processing technology, multiple links may affect the mineral processing efficiency, and the following links are more likely to have a significant impact on the mineral processing efficiency: (1) Pre-election preparation stage: Crushing and Screening: Ore crushing and screening are key steps before mineral processing, which directly affect the efficiency and effect of subsequent mineral processing. In the crushing operation, if the crusher is improperly selected or operated, it may lead to insufficient or excessive crushing of the ore, affecting the efficiency of subsequent grinding and mineral processing. Screening is used to classify the crushed ore according to particle size to provide suitable raw materials for the processing. Grinding and Classification: Grinding is the continuation of the ore crushing process, and its purpose is to separate various useful mineral particles in the ore into monomers for selection. The selection of grinding mills and the control of the grinding process are crucial to the efficiency of mineral processing. The classification operation affects the classification particle size and processing capacity by adjusting parameters such as the size of the classification area, the height of the overflow weir and the speed of the spiral, thereby affecting the efficiency of mineral processing. Selection stage: The properties of the ore, the selection of the beneficiation equipment and the selection of the beneficiation method will affect the efficiency of the beneficiation stage. For example, the particle size of the mineral has an important influence on the flotation efficiency. Too fine a particle size will deteriorate the flotation effect. The selection of the flotation machine speed will also affect the stirring intensity of the slurry and the flotation effect. Dehydration stage after selection: The concentrate obtained by wet beneficiation usually contains a lot of water. The efficiency of the dehydration stage directly affects the quality and output of the concentrate. The dehydration stage includes processes such as concentration, filtration and drying. The effects of these processes are affected by factors such as equipment performance, operation level and the properties of the original ore. Slurry concentration: Appropriate pulp concentration has an important impact on flotation efficiency. Within a certain range, increasing pulp concentration is conducive to the collision and contact between minerals and reagents, thereby improving flotation efficiency. However, excessive pulp concentration will increase reagent consumption, deteriorate aeration effect, and reduce flotation efficiency. Operation and management: The skill level and management level of operators also have an important impact on mineral processing efficiency. Modern and digital management methods can optimize the mineral processing process and improve production efficiency. At the same time, strengthening the management and awareness of mining companies and avoiding management and awareness deviations are also important measures to improve mineral processing efficiency. To sum up, many links in the mineral processing process may affect the efficiency, but factors such as the preparation stage before mineral processing, the separation stage, the dehydration stage after mineral processing, as well as slurry concentration and operation management have the most significant impact on mineral processing efficiency. By optimizing these links and factors, the mineral processing efficiency can be significantly improved, production costs can be reduced, and the sustainable development of the mine can be achieved. 2. In order to optimize the links that affect efficiency in the mineral processing process, we can consider and implement them from the following aspects: (1) Grinding and grading operations: Optimize grinding process parameters: According to the characteristics of the ore, study the grinding index and formulate appropriate grinding process parameters. For the ore dressing plant with "over-grinding" phenomenon, selective grinding technology can be considered. Use efficient grading equipment: Although spiral classifiers are commonly used, their grading efficiency is generally only 20% to 40%. Consider introducing efficient grading equipment such as hydrocyclones or high-frequency vibrating fine screens to improve grading efficiency. However, attention should be paid to the stability of hydrocyclones. (2) Selection of work: Select or improve mineral processing equipment: In flotation operations, the selection of flotation machines is crucial. According to the characteristics of the ore and the flotation process, select or design a suitable flotation machine. At the same time, pay attention to the development of flotation reagents and processes, and adopt the latest flotation technology and reagents. Optimize flotation conditions: According to the properties of the ore, adjust the parameters such as pulp concentration, stirring intensity, and aeration volume during the flotation process to obtain the best flotation effect. (3) Dehydration operation: Introduce advanced dehydration equipment: such as disc vacuum filter, which not only has large processing capacity and good dehydration effect, but also has low energy consumption. Optimize the dehydration process: By adjusting various links in the dehydration process, such as pre-dehydration, filter pressing, etc., the dehydration efficiency can be improved and the moisture content in the concentrate can be reduced. (4) Slurry concentration control: Real-time monitoring and adjustment: By real-time monitoring of pulp concentration, timely adjust the amount of water added during grinding and flotation to ensure that the pulp concentration is within the optimal range. Optimize the use of reagents: During the flotation process, adjust the amount and type of reagents according to the pulp concentration to obtain the best flotation effect. (5) Operation and management: Improve operator skills: Through training and skill improvement, ensure that operators have the necessary mineral processing knowledge and skills and can operate mineral processing equipment proficiently. Introduce a modern management system: Use a digital and automated management system to monitor all aspects of the mineral processing process in real time to improve production efficiency and product quality. Strictly follow the principles of comprehensiveness and pertinence to carry out equipment transformation to ensure that the transformation work can truly improve economic benefits and production efficiency. (6) Strengthen the management of mining companies: Correct the deviations in the management and cognition of mining companies, ensure that managers have geological knowledge and mineral processing experience, and avoid non-geological personnel from conducting mineral processing according to the management model of other industries. Establish a reasonable assessment mechanism, avoid taking economic benefits as the only criterion, and ensure that the basic status of geological exploration work is valued. Through the implementation of the above measures, the links that affect efficiency in the mineral processing process can be optimized, the mineral processing efficiency can be improved, the production cost can be reduced, and the sustainable development of the mine can be achieved. (7) Continuous research and innovation: Encourage and support scientific researchers to conduct research and innovation in mineral processing technology, and continuously develop new mineral processing methods and processes. Strengthen exchanges and cooperation with other countries and regions, and introduce advanced mineral processing technology and equipment. At the same time, in view of the above-mentioned problem of low mineral processing efficiency, the introduction of MINGDE mineral processing equipment can greatly improve the mineral processing efficiency. Its value is mainly reflected in the following aspects: High-precision identification and sorting: MINGDE optoelectronic beneficiation equipment, such as the MINGDE AI sorter, can accurately identify multiple characteristics of non-metallic ores, including color, texture, shape, gloss, etc. This high-precision recognition technology enables ores to be accurately classified and screened, thereby improving the accuracy and efficiency of beneficiation. High efficiency sorting: The equipment has high-speed processing capabilities and can quickly complete the sorting of a large number of non-metallic ores. For example, the heavy-duty visible light artificial intelligence sorting machine product launched by MINGDE Optoelectronic has a sorting and processing capacity of up to 100 tons/hour, greatly improving production efficiency. Energy saving: MINGDE Optoelectronic mineral processing equipment achieves more crushing and less grinding by pre-sorting the granular ore, effectively reducing energy consumption. This optimization can not only improve production efficiency, but also reduce mineral processing costs and improve the economic and ecological benefits of the mineral processing plant. Environmental friendly: Compared with traditional physical and chemical beneficiation, the only energy consumption of photoelectric beneficiation is electricity consumption, and it has zero pollution to the environment. This green beneficiation method meets the current requirements of environmental protection and contributes to the sustainable development of mining production. High level of intelligence: With the development of computer technology and artificial intelligence technology, the intelligence level of Mingde Optoelectronics' mineral processing equipment has been continuously improved. This intelligent equipment can better adapt to the sorting needs of different types and complex ore structures, and improve the flexibility and adaptability of mineral processing. In summary, Mingde Optoelectronics' mineral processing equipment provides strong support for improving mineral processing efficiency through its advantages in high-precision identification, high-efficiency sorting, energy saving and consumption reduction, green environmental protection and high intelligence level. These advantages not only help to improve the efficiency and benefits of mining production, but also help to promote the green, intelligent and sustainable development of mining production.    

There are many factors that affect the effect of ore sorting, mainly including the following aspects: 1. Ore properties: The physical properties (such as hardness, density, humidity, particle size distribution) and chemical properties (such as mineral composition, chemical activity) of the ore are the key factors affecting the sorting effect. Different ores require sorting methods suitable for their characteristics. 2. Ore grade: The higher the content of valuable minerals in the ore, the better the quality of the concentrate obtained after sorting. Conversely, low-grade ore may require more complex sorting processes to reach the standard of economic utilization.   3. Sorting equipment: The performance, maintenance and operation level of the equipment directly affect the sorting effect. Efficient and stable equipment can improve sorting accuracy and processing capacity. 4. Process parameters: The setting of parameters such as feed rate, water flow rate, vibration frequency, etc. during the sorting process has a significant impact on the sorting effect. Reasonable process parameters can optimize the sorting effect. 5. Environmental conditions: Environmental factors such as temperature and humidity may also affect the sorting results, especially for minerals that are sensitive to the environment. 6. Complexity of ore: If the ore contains multiple minerals, the interaction between them may make sorting more difficult, and comprehensive sorting technology is needed. 7. Ore uniformity: Ore uniformity affects the stability of the sorting process. Inhomogeneous ore may lead to unstable sorting results. 8. Type and rate of impurities: The type and rate of impurities in the ore will also affect the sorting effect, especially those impurities that interfere with the sorting process. 9. Operator skills: The operator's experience and skills have an important impact on the sorting effect. Skilled operators can better control the sorting process. 10. Pretreatment before sorting: Pretreatment processes such as crushing and grinding have an important influence on the particle size distribution and surface properties of the ore, which in turn affects the sorting effect. MINGDE AI intelligent sorting machine takes the lead in using artificial intelligence means such as deep convolutional neural network (CNN) to analyze and process material images in the field of visible light photoelectric sorting, and automatically extracts multi-dimensional features of materials to establish a database through CNN local connection, weight sharing, multi-convolutional kernel and other methods in the training process, and the sorting effect is far better than that of traditional sorting methods,and it has outstanding performance in ore pretreatment, low-grade ore enrichment, and complex ore sorting.  

1. Production cost per ton of ore The total cost of production per ton of ore is the sum of the mining, beneficiation and transportation costs, enterprise management, concentrate sales, mine maintenance and inspection, and mining rights use costs allocated to each ton of raw ore. Mining cost: the cost of mining. Different development methods (open-pit mining, adit, inclined shaft, vertical shaft), mining methods, drainage volume, etc. all affect the mining cost. At present, the general pit mining cost is 20-70 yuan/ton. Ore dressing cost: Ore dressing cost is restricted by the selectivity of ore, mainly the consumption of ore dressing reagents and ball mill steel balls, tailings treatment and transportation costs (the trend is dry sand stacking and cementing filling). At present, the production cost of general stone dressing plants is 20-70 yuan/ton. Ore transportation cost: refers to the transportation cost from the pit mouth to the dressing plant after the ore is mined. At present, the transportation cost of ore in general mines is 10-50 yuan/ton. Enterprise management fee: Enterprise management fee is affected by the size and management level of the enterprise. At present, the management cost of general mining enterprises is 10-20 yuan/ton. Concentrate sales fee: All costs of transporting concentrate from the mine dressing plant to the delivery location of the smelter. The concentrate sales cost per ton of raw ore is 10-30 yuan/ton. Mine maintenance fee: According to the regulations of the Ministry of Finance, from January 1, 2004, a mine maintenance fee of 15-18 yuan will be extracted per ton of raw ore to support simple reproduction. Mineral rights usage fee: The resource compensation fee and resource usage fee required to be paid by the national and local governments, converted into the cost per ton of ore (usually 10-20 yuan). 2. Yield of concentrate (converted into tons of metal) per ton of ore (%) The amount of concentrate produced per ton of raw ore (equivalent to tons of metal) depends on the mining depletion rate and the mineral processing recovery rate. Mining depletion rate: Mining depletion rate varies due to different geological conditions, mining methods and management levels. At present, the depletion rate of pit mining in my country is generally 10-25%. Mineral processing recovery rate: Select indicators based on the results of ore selectivity tests in specific mining areas, such as 60-90%. Concentrate yield = (1-mining depletion rate) × mineral processing recovery rate. 3. Concentrate Sales Price The spot sales price of qualified concentrate (converted into metal tons) is generally the weekly average price of three-month metal futures, multiplied by a price coefficient (60-85%). 4. Determination of mineable grade For example, the mining cost in a certain place is 50 yuan/ton, the beneficiation cost is 40 yuan/ton, the transportation cost of raw ore is 30 yuan/ton, the enterprise management fee is 20 yuan/ton, the concentrate sales fee is 20 yuan/ton, the mine maintenance fee is 15 yuan/ton, and the mining right use fee is 20 yuan/ton, with a total production cost of 195 yuan/ton. If the mining depletion rate is 10% and the beneficiation recovery rate is 80%, the concentrate yield (equivalent to metal tons) per ton of raw ore is 72%. If the metal price, such as copper, is 60,000 yuan per ton, the pricing coefficient is 80%, and the qualified concentrate (equivalent to metal tons) is 48,000 yuan/ton. Then: metal price 60,000 × pricing coefficient 80% × ore grade × concentrate yield (converted to metal tons) 72% = 195 yuan. Ore grade = 0.56%, that is, the recoverable grade (average grade in the mining area) is 0.56% If the average price of lead and zinc metal is 16,000/ton, the pricing coefficient is 70%, the same yield and production cost, Metal price 16,000 × pricing coefficient 70% × ore grade × concentrate yield 72% = 195 yuan. Ore grade = 2.42%, that is, the recoverable grade (average grade in the mining area) is 2.42%. 5. Issues to note 1. The mineable grade is actually the break-even point of normal production after the mine is completed and put into production. If the mine construction funds (including the cost of purchasing mining rights, power supply lines and step-down stations, equipment investment, land, forest and water use costs, road construction, beneficiation plant construction, mine construction, office facilities, living facilities, etc.) are not recovered, in addition to repaying the principal, interest must be paid. This part of the interest is generally calculated at 10-20%, and the amount is also very large. 2. The increase in production scale will reduce the production cost per ton of ore. It is mainly reflected in the reduction of enterprise management expenses and the reduction of mining and selection costs after large-scale production. Source: Geological Miscellany

From 2010 to 2019, more than 200 new gold, copper, zinc, nickel, and copper mines entered commercial production, with an estimated total ore production of 22 billion tons. The lead time from initial discovery to production varies for each mine, depending on a variety of factors, including product and mine type, geographic location, partnership history, government and community needs. The average time from discovery to production for the world's 35 largest mines is 16.9 years, with the shortest being 6 years and the longest being 32 years. In order to avoid large data deviations, some mines are not included in the calculation of the time required for top mines, mainly because the projects were abandoned after the initial discovery. (Note: Data as of March 2020) Many factors affect the time it takes to deliver a mine The average exploration and research time for the world's 35 top mines is 12.5 years, almost three-quarters of the total time invested. Mines that spend the longest time in this stage usually experience multiple changes in ownership and research revisions. Generally speaking, top mines enter the mine construction phase 1.8 years after the feasibility study is completed. Ideally, construction can begin shortly after the feasibility study is completed; but for some mines, it takes another 3 to 5 years before construction, partly because they want to continue to increase reserves before construction, or face problems such as mining permits, licenses, funding and community protests. Of the 35 top mines, 20 mines take less than or equal to the average time of 16.9 years, among which mines in Peru have the shortest delivery time, with about four-fifths of the mines taking an average of 13 years. The Las Bambas copper mine in Apurimac has been in commercial production since 2015, when a large amount of porphyry copper was discovered in 2005 (skarn copper was discovered earlier). It is the mine with the shortest delivery time and currently ranks third in Peru in ore production. Australia has opened two mines in recent years, with an average time of 10 years. The Gruyere JV gold mine in Western Australia is a 50-50 joint venture between Gold Fields Ltd. and Gold Road Resources Ltd. It took only six years from the discovery of gold in 2013 to commercial production in 2019. Although there are many deeper deposits that have been put into production, Australia's deposits tend to be near-surface oxides that are easier to explore and develop. Although Australia does not have a fully integrated federal licensing system, the official assessment of exploration and mining is much faster than in other developed countries. As noted in a 2015 study prepared for the U.S. National Mining Association, evaluations of exploration plans and mining proposals in Western Australia were completed in just 30 working days. Environmental impact assessments (EIA) are completed by the applicant and submitted to the relevant agencies for evaluation, shortening the application process. Fifteen mines exceeded the average lead time. Chile topped the list. The country's three mines had long lead times during this period, averaging 23.7 years. Mexico followed with two mines, averaging 17.5 years. Canada and Russia both approved four mines for production during this period, and both had two mines that took longer than average: two Canadian mines with an average lead time of 23.5 years, and two Russian mines with an average lead time of 27.5 years. Russia’s Bystrinskoye copper mine took 32 years from its discovery in 1986 to commence operations in 2018. Like Australia, Canada uses a streamlined permitting process and timeline, but the permitting process can involve extensive community collaboration and environmental requirements that can lead to significant delays. Canada’s Rainy River and Dublin Gulch mines took 22 and 25 years to complete, respectively. Ontario’s Rainy River mine is owned by Rainy River Resources Ltd., which chose to continue exploration and feasibility work in the area when it was unable to finance mine development. New Gold Inc. acquired the mine in 2013 and has conducted the latest feasibility study, permit application, testing and construction. Victoria Gold also revised its feasibility study for its Dublin Canyon mine several times between 2011 and 2016, subsequently securing financing and commencing construction shortly thereafter. As a result, the average time from feasibility study completion to production for both mines was only 2.5 years. Most new mines are open pit mining, and copper mines require longer lead times Of the 35 top mines counted, 31 are open pit mines, with varying ore production capacities and mining cycles. The Las Bambas copper mine has an annual production capacity of 51 million tons of ore, and it took 10 years from discovery to production. In contrast, the Bystrinskoye copper mine, with an annual production capacity of 10 million tons, has a delivery period of 32 years. The average ore production capacity of the top open pit mines is 19.1 million tons/year, and the average delivery time is 17.4 years. Only two mines have both open pit and underground mining, and both mining methods contributed to production capacity during the trial mining period. The Kibali gold mine in the Democratic Republic of Congo and the Sukari gold mine in Egypt have lower production capacities, with annual ore production of 7.2 million tons and 12.3 million tons, respectively, and delivery cycles of 15 years and 12 years, respectively. Some open-pit mines, such as Oyu Tolgoi and Yuji River in Mongolia, plan to increase underground mining in the near future. There are two other pure underground mining mines, Carrapateena in South Australia and New Afton in British Columbia, Canada, both of which have low production capacity of only 4 million tons of ore per year and an average delivery time of 13 years. Of the 35 new mines, 23 are gold mines (accounting for two-thirds of the total), 10 are copper mines, and 2 are nickel mines. Among them, the average delivery time for gold mines is 15.4 years and that for copper mines is 18.4 years. The difference between the two is mainly due to the longer exploration and feasibility study time for copper projects, which is an average of 2 years longer than that for gold projects. One reason is that, at least in the exploration stage, the availability of funds for gold projects is better than that for copper projects. This is supported by exploration data from the past 10 years. The data shows that the ratio of grassroots exploration to late-stage exploration budgets for copper and gold mines is an average of 1:1.8, which reflects the better funding supply for gold exploration. In addition, gold prices have been more resilient than copper prices over the past 10 years, which has eased capital flows for gold mines. In addition, the construction time of copper mines is also one year longer than that of gold mines on average.

Brucite, also known as magnesia, is a hydroxide ore. Its main component is magnesium hydroxide. It is one of the minerals with the highest magnesium content in nature.Brucite is a rare and precious magnesium-rich non-metallic mineral. It belongs to the trigonal crystal system and has a variety of appearances. It is usually flaky or fibrous aggregates. It is white, light green or colorless in color. It has a glassy luster on the fracture, a pearly luster on the dissociation surface, a silky luster on the fibrous one, a flexible thin sheet, and a brittle fibrous one. Brucite is a layered hydroxide that is widely distributed in nature and is widely distributed. It is mainly distributed in countries and regions such as China, Canada, and the United States. In addition, brucite mines are also distributed in Russia, North Korea, Norway and other countries. Canada and the United States are among the world's major producers of brucite. Canada's brucite is mainly distributed in Ontario, Quebec and other places, while the United States' brucite resources are mainly distributed in Nevada, Texas and other places. China's brucite resources are mainly distributed in the western region, such as Xinjiang, Qinghai, Tibet, Sichuan and other provinces and cities according to sedimentary strata. In addition, some brucite resources are also distributed in Northeast China, North China, Central China and other regions. Specifically, the total proven reserves of brucite resources in China have exceeded 25 million tons, among which Fengcheng, Liaoning, Ji'an, Jilin, Ningqiang, Shaanxi, Qilian Mountains, Qinghai, Shimian, Sichuan, Xixia, Henan and other places are important brucite production areas. In particular, Fengcheng, Liaoning, has the richest brucite resources in China, with reserves of up to 10 million tons. The proven reserves of brucite in Ningqiang, Shaanxi are 7.8 million tons; the proven reserves of brucite in Ji'an, Jilin are 2 million tons. Judging from the ore quality, scale and mining conditions of brucite, Liaoning Province has the best brucite resources in China. The brucite ore in Kuandian is close to the theoretical mass of brucite (%): MgO 66.44, H2O 29.00, SiO2 0.80, Al2O3 0.21, Fe2O3 0.73. Brucite has a variety of uses and applications, from industrial processes to environmental and technical applications. The following are some of the main uses of brucite: (1)  Extraction of magnesium and magnesium oxide The magnesium oxide content in brucite ore is high and has few impurities; the decomposition temperature is low; the volatile matter produced when heated is non-toxic and harmless, so magnesium and magnesium oxide and other products can be extracted from brucite. (2) Dead-burned magnesia Dead-burned magnesia made from brucite has the advantages of high density (greater than 3.55g/cm3), high refractoriness (greater than 2800℃), high chemical inertness and high thermal shock stability. It is widely used in the production of key parts such as furnace linings and furnace bottoms, especially in the steel and non-ferrous metal smelting industries. (3) Light magnesium oxide Light magnesium oxide is extracted from low-grade brucite rock by chemical methods. (4) Fused periclase It is a special pure product required by high-tech electronic products. The periclase aggregate refined by brucite by electric fusion has high thermal conductivity and good electrical insulation, and the product life is increased by 2~3 times. (5) Chemically pure magnesium reagent Mainly use the electric heating method to extract metallic magnesium and prepare chemically pure reagents such as MgCl2, MgSO4, and Mg(NO3)2. At the same time, it can be used to make high corrosion resistance agents and is widely used in the electroplating industry. (6) Reinforcement materials Bruceite can be used as a substitute for chrysotile in some fields, and is used in mid-range thermal insulation materials such as microporous calcium silicate and calcium silicate board. The basic formula is: diatomaceous earth, lime slurry, water glass, bruceite. The content of bruceite is 8%~10%. The product has high whiteness, beautiful appearance and low bulk density. At the same time, due to the repeatability, corrosion resistance, high hardness and good mechanical strength of brucite, it can be used as an additive to improve the strength and hardness of cement and enhance the durability of concrete. In addition, brucite can also slow down the gel phase generation rate of concrete, thereby delaying the degradation process of the structure. (7) Papermaking filler Brucite has high whiteness, good flaking, strong adhesion and poor water absorption. Using it in combination with calcite as a papermaking filler can change the papermaking process from acid method to alkali method and reduce the pollution of slurry water. (8) Flame retardant As a fibrous variant of brucite, fibrous brucite contains about 30% of crystal water and has a low decomposition temperature (450℃, static about 350℃). It is widely used in flame retardant products with its good heat resistance and flame retardancy. (9) Environmental protection application Due to its composition characteristics, brucite presents moderate alkalinity and can be used as an acidic wastewater neutralizer. It is used to purify acidic substances in wastewater and waste gas, effectively reduce pollutants such as acid rain and acidic waste gas, and thus protect the environment. In the process of neutralizing acidic substances, brucite also has a certain buffering capacity. (10) Water treatment Brucite also plays an important role in the field of water treatment. It can be used to remove hardness ions in water, prevent the formation of scale, and protect water treatment equipment. In addition, brucite can also be used for deoxygenation, adjusting the pH value of water and buffering water quality, thereby improving and optimizing water quality. In general, brucite has a wide range of uses, covering many fields such as construction, metal smelting, chemistry, water treatment, medicine, environmental protection and food industry. In order to improve the utilization value of brucite, we generally use brucite of different grades. Generally speaking, brucite is used as a raw material for magnesium salts, basic magnesium salts, magnesium oxide and other products, and the grade of brucite is relatively high. In some specific applications, such as making refractory materials and flame retardants, the grade requirements for brucite may be relatively low. In order to improve the grade of brucite, we can use crushing, dissociation and sorting to sort out the associated minerals in brucite to achieve the purpose of improving the grade of brucite. Common associated minerals in brucite are mainly serpentine, calcite, dolomite, magnesite, magnesium silicate minerals, periclase, diopside and talc. Specifically, serpentine in the associated mineral is a hydrated magnesium silicate mineral, usually yellow-green or dark green, with a glassy or silky luster. Calcite is a calcium carbonate mineral with a glassy luster and low hardness. Dolomite is a carbonate mineral, similar to calcite, but with a higher magnesium content in its chemical composition. Magnesite is a magnesium carbonate mineral with a glassy luster and low hardness. By taking advantage of the surface feature differences between its associated minerals and brucite, we use photoelectric sorting equipment for sorting, which can effectively remove most of the dissociated associated minerals, improve the grade of brucite ore, and create higher economic value for mining companies. For some brucite mining companies, after long-term mining, there is no good sorting method in the particle ore stage, resulting in about 30~40% of the concentrate with a grade of more than 60 in the tailings pond. With the development of artificial intelligence and photoelectric mineral processing technology in recent years, the technical level and equipment maturity have been widely recognized by the market and applied in the sorting of brucite tailings. In particular, Mingde Optoelectronics' artificial intelligence sorting equipment can accurately identify associated minerals such as brucite, serpentine, and dolomite, and sort them by taking pictures, training, learning, and modeling the ore to be selected. MINGDE Optoelectronics is an enterprise focusing on ore sorting technology. The artificial intelligence sorting machine developed by it is applied to the sorting process of brucite. The equipment uses advanced image recognition technology and artificial intelligence algorithms to efficiently and accurately grade the quality of brucite, remove impurities, and improve the quality of the original ore. In summary, MINGDE Optoelectronics' artificial intelligence sorting machine plays a key role in the sorting of brucite. It optimizes the traditional mineral processing process through intelligent technology, improves the sorting accuracy and efficiency, and contributes to the sustainable use of resources.

Overview Ore pretreatment and enrichment are key links in improving the utilization efficiency of mineral resources, especially in the current situation of increasingly tight global mineral resources, its importance is becoming more and more prominent. Pretreatment mainly includes crushing, grinding, screening, primary selection and other processes, aiming to improve the properties of ore and prepare for further beneficiation processes. Enrichment is to separate valuable minerals from ore by physical, chemical or biological methods to improve their grade and recovery rate. Research progress of pretreatment technology The development trend of pretreatment technology is to improve efficiency and reduce costs while paying attention to environmental protection and sustainability. The high-pressure roller mill pretreatment technology in the crushing stage improves the dissociation degree and grinding efficiency of the ore through high pressure and slow relative movement. The pre-waste technology in the primary selection stage refers to separating a part of waste rock or low-grade ore in the early stage of ore processing to reduce energy consumption and cost in subsequent processing. For example, by pre-selecting and discarding waste, the amount of ore entering the subsequent process can be reduced, saving a lot of subsequent process costs. At the same time, the pre-discarded waste tailings can be used as building aggregates and mine backfill without grinding, which has certain economic value and environmental value. Through pretreatment and pre-selection, the grade of ore can be improved, the amount of ore entering the mill can be reduced, and the tailings can be discarded in advance, thereby improving resource utilization and reducing energy consumption and environmental pollution. Ore photoelectric sorting technology is an important branch of the current ore sorting field. It uses different physical properties of ore, such as color, texture, density, etc., to achieve effective ore sorting, which is of great significance for ore pretreatment. Research progress of enrichment technology Ore enrichment technology can increase the content of useful components in ore, thereby improving resource utilization. For example, through pretreatment and enrichment technology, the original low-grade ore can be made usable, the loss of mineral resources can be reduced, the import volume of mineral resources can be reduced, and the resource utilization of low-grade ore and stockpiled waste can be realized. Ore enrichment can also reduce the processing cost and energy consumption of ore. For example, through pre-enrichment technology, the amount of subsequent grinding-flotation ore processing can be reduced, production costs can be reduced, and the economic benefits of the enterprise can be improved. At the same time, ore enrichment technology also has extremely high environmental and social benefits. In terms of environmental effects, through scientific ore enrichment and ore deposit analysis, environmental pollution can be reduced, the ecological environment can be protected, resources can be recycled, and the service life of resources can be extended. In terms of social benefits, the innovation of ore enrichment technology has promoted the upgrading of the mining industry. The development of intelligent mineral processing technology, such as intelligent mineral processing and intelligent monitoring, has improved the efficiency and accuracy of mineral processing, reduced labor costs, and promoted the transformation of the mining industry towards high efficiency and environmental protection. On the other hand, through ore enrichment, employment opportunities can be increased and the living standards of local residents can be improved. Among them, photoelectric sorting is particularly representative in ore enrichment. By analyzing the surface characteristics of the ore to be processed, the ore is preliminarily sorted, thereby realizing pollution-free and efficient intelligent sorting. Photoelectric sorting has the advantages of high efficiency, low cost, and green environmental protection. It can save freight and reagent costs in the flotation link and extend the service life of the tailings pond. In addition, the mining boundary grade can be reduced and the amount of recoverable resources can be increased. https://www.mdoresorting.com/mingde-ai-sorting-machine-separate-quartzmicafeldspar-from-pegmatite Mingde Optoelectronics Technology Co., Ltd. is the first to introduce artificial intelligence and big data technology in the field of visible light photoelectric sorting, which broadens the adaptability of the machine and allows the photoelectric sorting machine to sort more types of ores. The machine uses a gigapascal camera to further improve the sorting accuracy of the machine, and the introduction of heavy-duty machines enables the machine to process 100 tons per hour. These pioneering measures make our machines more suitable for mining companies and make ore sorting better and faster. Conclusion In summary, ore pretreatment and enrichment technology plays an important role in improving the utilization efficiency of mineral resources, reducing production costs, and promoting environmental protection and sustainable development. With the continuous emergence and application of new technologies, pretreatment and enrichment technology will continue to develop in the direction of high efficiency, environmental protection, and low cost, and contribute to the sustainable development of the mining industry.

Potassium feldspar is a common feldspar mineral with the chemical formula NaAlSi3O8, belonging to the category of sodium aluminum silicate. It usually appears as glassy crystals and can be colorless, white, yellow, red or black. Potassium feldspar is most common in pegmatites and felsic igneous rocks such as granite, and is also found in low-grade metamorphic rocks and some sedimentary rocks. The hardness of potassium feldspar is about 6-6.5, the density is between 2.61-2.64 g/cm³, and the melting point is about 1100℃. Its theoretical chemical composition is Na2O: 11.8%, Al2O3: 19.4%, SiO2: 68.8%, but this theoretical value is difficult to achieve in nature. The classification of potassium feldspar usually based on its chemical composition and crystal structure. According to the chemical composition, potassium feldspar can be divided into different subspecies, such as albite, oligoclase and bytownite. According to the crystal structure, it can be divided into monoclinic system and triclinic system. These classifications are instructive for understanding the physical and chemical properties of potassium feldspar and its application in industry. Potassium feldspar plays an important role in the ceramic industry. It can be used as a flux, a ceramic body ingredient and a glaze. Before firing, potassium feldspar can reduce the drying shrinkage and deformation of the body, improve the drying performance and shorten the drying time. During firing, it can be used as a flux to reduce the firing temperature and improve the light transmittance of the body. potassium feldspar is also one of the important raw materials in the glass industry. It can increase the alumina content in the glass mixture, reduce the melting temperature, and adjust the viscosity and chemical composition of the glass. In addition, potassium feldspar is also used in the chemical industry, abrasives and tools, welding rods and other industries. For example, it can be used as a raw material for enamel, the main raw material for refractory materials, and as a filler in detergents, toothpaste, cosmetics and other industries. The purity of potassium feldspar directly affects its application effect in industrial production. For example, in the ceramic industry, high-purity potassium feldspar can significantly reduce the firing temperature and improve the quality and performance of the product. Therefore, accurately judging the purity of potassium feldspar is of great significance to ensure product quality and production efficiency. The determination of potassium feldspar purity usually involves the following aspects: Chemical composition analysis: Through chemical analysis methods such as ICP, XRF, AAS, etc., the main components of potassium feldspar, such as SiO2, Al2O3, Fe2O3, TiO2, K2O and Na2O, can be accurately determined. The content of these components directly reflects the purity of potassium feldspar. Physical property test: Including tests of physical properties such as hardness, density, melting point, etc., these properties can also indirectly reflect the purity of potassium feldspar. Mineral composition analysis: Through methods such as X-ray diffraction (XRD), the mineral type and content of potassium feldspar can be determined, which is also a method to judge purity. The main method of impurity separation Flotation method: By adding different flotation agents, the surface properties of potassium feldspar and other impurity minerals are changed, thereby achieving separation. Magnetic separation: Separate iron-containing impurities from potassium feldspar by using magnetic differences. Chemical impurity removal technology: Dissolve and remove impurities in the ore by acid washing and other methods. High-temperature chlorination method: Use high temperature and chlorine to separate impurity iron from potassium feldspar. Microbial method: Use microbial metabolites to react with iron impurities, and then use other methods to remove impurities. Photoelectric sorting: This is an emerging ore sorting technology that combines photoelectric detection and artificial intelligence algorithms to achieve intelligent ore sorting by identifying multi-dimensional features such as spectral characteristics, texture, and color of the ore. This technology has significant advantages in improving ore sorting efficiency, reducing costs, protecting the environment, and promoting resource recovery. https://www.mdoresorting.com/wet-intelligent-minerals-separator-ore-sorting-machine-leading-manufacturer-of-china High efficiency: Photoelectric sorting technology can quickly remove a large amount of useless gangue, reduce the pressure of subsequent mineral processing links, and improve sorting efficiency. Low cost: Compared with traditional physical mineral processing and chemical mineral processing, the cost of photoelectric mineral processing is lower, and the cost of mineral processing per ton is about $0.15. Environmental protection: Photoelectric mineral processing technology has zero pollution to the environment and is a greener mineral processing method. Technological progress: With the development of computer technology and artificial intelligence technology, the intelligence level of photoelectric mineral processing equipment has been continuously improved. Strong adaptability: By introducing cutting-edge technologies such as artificial intelligence and big data analysis, the intelligence level and adaptability of the photoelectric sorting system have been greatly improved. High safety: Photoelectric mineral processing equipment does not need to add any chemical agents during operation, avoiding the safety risks that may be caused by chemical agents. Technological innovation: China is in a leading position in the research and development of core components in the intelligent photoelectric mineral processing equipment manufacturing industry. Resource recovery: Photoelectric sorting technology has significant advantages in processing low-grade ore resources, and can fully recycle and utilize ore resources that were originally difficult to develop and utilize economically and efficiently. System stability: Photoelectric sorting technology is still in the development stage, but through continuous technological innovation and optimization, the stability and anti-interference ability of the system are constantly improving. Cost-effectiveness: The research and development and application of photoelectric mineral processing technology always focus on cost control and cost-effectiveness.

Wollastonite surrounding rocks are divided into two types: marble type and skarn type. Among them, skarn type is mainly lens-shaped, cystic, irregular banded, etc., among which wollastonite generally has high iron impurities, and the gangue is mainly garnet, diopside, calcite and quartz. Garnet and diopside are separated by strong magnetic separation, and calcite and quartz are separated by flotation. The marble type is more complex, mainly in agglomerate and cystic shapes. Its wollastonite is distributed in flower and worm strips, with low iron content. The gangue is mainly calcite and quartz and a small amount of diopside. This type of ore is mainly separated by flotation to separate calcite and quartz. Wollastonite ore dressing and purification method At present, there are mainly manual selection, flotation, single magnetic separation, magnetic separation-flotation (electrical separation) for wollastonite separation. The purpose of wollastonite separation is mainly to reduce the iron content and separate calcite and waste rock. Hand selection mainly involves manually selecting rich ores or manually selecting rich wollastonite through conveyor belts. It is mainly suitable for ores with high wollastonite content. Flotation mainly involves separating wollastonite and calcite based on their different physical and chemical properties. It can also remove a large amount of iron impurities and improve the grade of wollastonite. Single magnetic separation mainly involves using weakly magnetic minerals such as garnet and diopside in the original ore. Wollastonite is not magnetic. Wollastonite is separated from other gangues through dry or wet strong magnetic separation technology. It can also remove a large amount of iron-containing ores and improve the overall grade. Magnetic separation-flotation is mainly suitable for the treatment of low-grade wollastonite. First, weakly magnetic ores are separated through magnetic separation, and then wollastonite is separated from quartz and calcite through flotation. The latest sorting method for wollastonite ore dressing - artificial intelligence photoelectric sorting Through physical sorting, the surface characteristics of wollastonite, calcite, and miscellaneous stones are used for sorting. Before entering flotation or magnetic separation, the raw ore is crushed and washed before entering the artificial intelligence sorting machine. Artificial intelligence photoelectric sorting uses the surface characteristics of wollastonite, calcite, quartz, garnet, and miscellaneous stones for sorting. The main surface characteristics of the sorting are color, color, texture, shape, etc., and the data model is established through artificial intelligence. The purpose of accurately sorting out wollastonite and associated stones is achieved. Artificial intelligence ore sorting machines are different from traditional photoelectric color sorters. Traditional photoelectric color sorters can only sort by color differences. For example, when the associated quartz or other colors are close to wollastonite waste rocks, the color sorter cannot accurately sort out wollastonite. Only artificial intelligence ore sorting machines integrate the multi-dimensional characteristics of good and bad materials in the raw ore, establish a sorting model, and achieve final sorting accuracy and low carryout of good and bad materials through artificial intelligence technology. https://www.mdoresorting.com/mingde-ai-sorting-machine-separate-quartzmicafeldspar-from-pegmatite Project Advantages Artificial intelligence can completely replace manual selection in the application of wollastonite. If the dissociation degree of wollastonite is good, the artificial intelligence machine can directly sort out wollastonite and tailings, which has the advantages of high efficiency, good effect and low cost. The cost is mainly the one-time equipment purchase cost and the subsequent equipment power supply cost. If the dissociation degree is average, the artificial intelligence machine can also sort out the wollastonite with good grade, or discard the useless waste rock, which can directly reduce the amount of ore entering magnetic separation or flotation, save the cost of magnetic separation and flotation, and reduce the processing level of tailings. In particular, Mingde Optoelectronics Artificial Intelligence Sorting Machine has been widely used in various ore sorting fields at this stage, not only in wollastonite. As long as there are ores with visible surface differences, they are within the sorting range of artificial intelligence sorting machines. The equipment has withstood the test of various industrial and mining enterprises in terms of technical maturity and actual application effect.

As the number of ore resources with low mining difficulty and good quality is decreasing, mining companies are gradually falling into trouble, especially low-grade mining companies. How to improve the economic value of mines? Reduce the overall mining and selection costs? It is an important problem facing its development, especially at the current stage, the mining and selection technology and production process improvements of industrial and mining enterprises are in a stagnant stage. The only best choice is to break the existing thinking mode. In view of the current situation of industrial and mining enterprises, there will be no major breakthroughs in mining and selection technology for the time being. Only by looking for external breakthroughs in the production process can new innovations be achieved. It is obvious that the best solution is to start with the sorting after the crushing and dissociation of the original ore. Some people will definitely ask why? In fact, it is very simple. We need to understand what ore sorting is and what is the difference between the sorting mentioned and the sorting at the current stage. The ore sorting mentioned here is to enrich the grade of the ore in advance before grinding and crushing, and to raise the pre-throwing waste tailings to reduce the amount of ore entering the subsequent process, saving a lot of costs for the subsequent process. At the same time, the pre-throwing waste tailings have not been ground and have certain economic value. Take an example of economic benefits. Let's do some economic calculations. Assuming that an industrial and mining enterprise mines 1 million tons per year, before using an ore sorter, the original production process is mining-crushing-grinding-flotation. According to the calculation of $6.3 per ton for grinding and flotation, the annual cost before using an ore sorter is about 6.3 million dollar. After using an ore sorter, each ore sorter sorts about 25 tons per hour (the smaller the particle size, the lower the hourly sorting output. In this example, the particle size of the ore particles is in the range of 1cm-4cm). The sorting cost is mainly electricity. The electricity cost per machine is $1.37 per hour, and the sorting cost per ton is about $0.137. According to 20% of the discarded tailings, there is no need for subsequent grinding and flotation, and the annual savings can reach about 1.1 million dollar. In addition, the discarded tailings can still be backfilled in the mine, or sold as other construction, road construction and other materials. The overall estimated annual output value is at least more than 1.37 million dollar. Among them, Mingde Optoelectronics' artificial intelligence ore sorter was born. Committed to the introduction, research and development, promotion and application of artificial intelligence ore sorting technology. AI Ore Sorting Machine AI Ore Sorting Machine is a device that uses the principle of photoelectric sorting, artificial intelligence means, and AI photoelectric sorting technology. After the original ore is crushed and before flotation, it can be sorted in a composite manner according to the different surface characteristics of the original ore, such as texture, color, texture, shape and other multi-dimensional characteristics, to achieve ore grade enrichment and pre-disposal of tailings. Intelligent sorting equipment. It also has the following advantages https://www.mdoresorting.com/mingde-ai-sorting-machine-separate-quartzmicafeldspar-from-pegmatite Adjustable parameters: Sorting models can be established according to different sorting requirements to meet personalized sorting requirements; Automatic sorting: No manual work is required to achieve intelligent ore sorting with high sorting efficiency; Intelligent: It can continuously learn through the learning mode to further improve the overall sorting effect; Application range: Mainly in the sorting of talc, wollastonite, potassium feldspar, fluorite, quartz, calcite, lithium ore, gold ore, iron ore, lead-zinc ore, high-crystalline silicon and other ores with visible differences; Applicable fields: new and old mines, historically abandoned low-grade ores and other industrial and mining enterprises.

Intelligent sorting machine is a mining sorting equipment that realizes mineral sorting based on the differences in ore color, texture, shape, gloss, etc., through photoelectric systems, image vision, artificial intelligence, big data and other means. It can meet the specific surface special difference mineral sorting, such as quartz, calcite, barite, wollastonite, talc, calcium carbonate, brucite, silica slag, pebbles, gold mines, coal gangue, coal-series kaolinite, lead-zinc ore, copper mines and other minerals and some specific characteristic difference materials. The important scope of Internet of Things application is industry. In recent years, with the great development of Internet of Things technologies such as artificial intelligence, big data, RFID technology, and sensor technology, terminal products have also experienced practical application verification and use. Intelligent interconnection has become the trend and consensus of product development in the industrial field. Intelligent sorting machine is a sorting equipment that realizes material sorting based on the differences in color, shape, texture, texture, gloss, etc. of the selected materials, through photoelectric recognition, image processing, artificial intelligence and other means. With the development of digital technology, the types of color sorters are also constantly updated and developed. Starting from photoelectric (analog) technology, to CCD (digital) technology application, and then upgraded to intelligent sorting machine technology. At present, the new intelligent sorting machine developed based on cutting-edge technologies such as the Internet of Things, artificial intelligence, and image vision has fully realized functions such as automation and intelligent learning, which can effectively improve sorting efficiency and accuracy, and greatly reduce production costs. The artificial intelligence solution is aimed at the materials to be selected, using software intelligent modules based on intelligent recognition, image vision, big data analysis, etc., and integrating hardware such as industrial computers, high-definition cameras, light sources, and sorting systems. This solution realizes the intelligent controllable sorting of the machine through the combination of software and hardware, improves the limited sorting materials, and expands the sorting and use scenarios. The scope of sorting has broken through from color sorting to the sorting of minerals with multi-dimensional feature differences. The specific workflow of the intelligent sorting solution is as follows: First, the personnel will confirm the good and bad materials, sort a number of good and bad materials manually, and collect and train images on the smart machine respectively, extract the surface texture, gloss, texture, state, color and other features of the ore and gangue to establish a sorting model. The material enters the conveyor belt through the vibrating hopper and is thrown into the sorting room through the conveyor belt. The upper and lower sets of ultra-high-definition cameras will perform multi-dimensional stereoscopic scanning on each mineral material, and transmit the information of each mineral material from the sensor to the industrial computer; It uses model recognition and algorithms to identify good and bad materials, and issues instructions to the solenoid valves corresponding to the area where the gangue is located, using pneumatic force to accurately separate. The above-mentioned intelligent sorting machine is fully automated and does not require human intervention. And it can be controlled, adjusted, and learned later according to the sorting situation, creating solid technical support for improving the performance of automated production lines, efficient data collection, sorting efficiency and accuracy, and sorting costs. The efficiency of the sorting scheme depends on the equipment technology integration and hardware configuration performance. Mingde artificial intelligence sorting machine uses image visual enhancement technology, non-massive data migration technology, AI photoelectric sorting technology, material rapid identification technology, artificial intelligence sorting technology, etc. in terms of software. In terms of hardware supporting facilities, it adopts an upper and lower double-mirror design. With the image visual recognition system that can support multiple sets of cameras to work at the same time, this solution can handle a large number of material sorting tasks with extremely high accuracy and low error rate. https://www.mdoresorting.com/mingde-ai-sorting-machine-separate-quartzmicafeldspar-from-pegmatite The operating platform is equipped with an industrial computing-grade computer that can process large amounts of data. The data processing is sensitive and the operation speed is fast, which improves the data transmission rate in different application scenarios. In addition, for data processing and analysis, it is equipped with the Mingde AI artificial intelligence sorting system, which can provide functions such as detection, modeling, identification, and sorting of multi-dimensional surface features of the sorted materials. Mingde is an artificial intelligence sorting equipment that brings high-quality sorting solutions to industrial automation.rial automation.

I. Overview X-ray intelligent ore sorting machine is an advanced equipment that uses X-ray technology combined with artificial intelligence algorithms to efficiently sort ore. It can realize the rapid and accurate identification and sorting of ore during ore processing, thereby improving the utilization rate of ore, reducing processing costs, and reducing the impact on the environment. II. Working Principle Intelligent ore sorting machine mainly uses X-ray technology, through the transmission ability of X-rays to the internal structure of ore, combined with advanced image processing algorithms and artificial intelligence technology, to achieve rapid identification and sorting of ore. Specifically, X-ray sorting technology can form Compton effect differences according to the different density, thickness, atomic sequence and other characteristics of ore, thereby realizing the separation of ore and waste rock. The technical advantage of intelligent ore sorting machine lies in its high-precision recognition ability and high degree of automation and intelligence. It can not only improve the processing efficiency of ore, but also reduce environmental pollution, which is in line with the trend of sustainable development of mining. III. Equipment Composition The X-ray intelligent ore sorting machine is mainly composed of the following parts: Vibration distribution system: responsible for evenly distributing the ore on the conveyor belt to ensure that the ore is laid flat in a single layer for efficient sorting. X-ray transmission detection system: including X-ray generators and receivers, used to transmit ore and analyze the internal structure and density differences of the ore. High-definition image recognition system: composed of high-brightness light source and high-definition digital camera, it images the surface features of the ore and provides auxiliary identification information. Computer software algorithm system: through deep learning technology, various characteristic information of ore is studied, and an ore sorting training model is constructed to achieve fast and accurate identification of ore data. Pneumatic mine waste separation system: through the air valve array driven by high-speed actuators, the ore is separated, the waste rock is blown into the waste rock trough, and the useful minerals fall into the sorting bin. https://www.mdoresorting.com/x-ray-manganese-vanadium-sorting-machine IV. Workflow The workflow of the X-ray intelligent ore sorter mainly includes the following steps: Feeding system: After cleaning and grading, the ore is fed into the vibrating feeder, and the ore is evenly distributed on the conveyor belt through mechanical vibration, forming a single-layer flat state and entering the detection area. X-ray transmission detection: The X-ray source continuously transmits the ore, and the X-ray transmission detection system analyzes the density and structure inside the ore through the X-ray generator and receiver. Image processing: The high-definition image recognition system images the surface features of the ore, and the industrial computer processes it. Through the established model recognition and algorithm, useful minerals and gangue minerals are distinguished. Sorting execution: According to the recognition results, the high-speed actuator drives the gas valve array to sort the ore, blow the gangue minerals into the waste rock tank, and the useful minerals fall into the corresponding sorting bin. V. Technical Advantages High recognition accuracy: The X-ray intelligent ore sorter adopts high-precision X-ray transmission technology, with a recognition accuracy of up to 0.4mm, realizing the detection of the internal features of the ore without blind spots. Strong processing capacity: The equipment can handle ores of different particle sizes, and can effectively sort ores from small particles to blocky ores. Energy saving and environmental protection: Compared with traditional hand sorting and mechanical sorting, the X-ray intelligent ore sorting machine does not require water, which reduces energy consumption and environmental pollution. High degree of intelligence: Combined with artificial intelligence, the sorting machine can self-learn and optimize to adapt to the characteristics and sorting requirements of different ores.   VI. Reliability Analysis The reliability of the X-ray intelligent ore sorting machine depends on multiple factors, including but not limited to: Technical maturity: With the continuous development and improvement of technology, the technical maturity of the X-ray intelligent ore sorting machine continues to improve, and its reliability is enhanced accordingly. Equipment structure design: Reasonable structural design can improve the stability and durability of the equipment and reduce the possibility of failure. Material selection: High-quality materials can ensure that the equipment can work normally in harsh environments and extend its service life. Maintenance and overhaul: Regular maintenance and overhaul are important measures to ensure the reliability of the equipment, which can timely discover and eliminate hidden dangers. Technical support: A strong technical support team can provide rapid fault diagnosis and solutions for the equipment to ensure the continuity of production. The X-ray intelligent sorting machine launched by Mingde Optoelectronics uses high-precision dual-energy mining and transmission, which can not only identify minerals with large density differences and high content, but also identify minerals with small density differences and low content, making mineral separation more accurate. https://www.mdoresorting.com/x-ray-xrt-intelligent-mineral-sorting-machine-according-to-different-density-between-concentrate-and-tailings Ⅶ. Maintenance Cycle Analysis The maintenance cycle of X-ray intelligent ore sorting machine usually depends on the following factors: Operating environment: The environmental conditions of the equipment, such as temperature, humidity, etc., will affect the maintenance cycle. Frequency of use: The higher the frequency of use of the equipment, the shorter the required maintenance cycle. Technical condition: The technical condition of the equipment is good, and the maintenance cycle can be appropriately extended. Manufacturer guidance: Following the manufacturer's maintenance guidelines and recommendations can effectively schedule maintenance cycles. Historical records: The maintenance history of the equipment can help predict future maintenance cycles and needs. Ⅷ. Maintenance Cost Analysis Equipment structure and maintenance difficulty The design of the X-ray intelligent ore sorting machine focuses on simplicity and reliability, and its mechanical structure is relatively simple, reducing potential failure points and maintenance difficulties. In contrast, traditional equipment is more difficult to maintain due to its complex structure, and requires more professional skills and tools. The simplified design of the X-ray intelligent ore sorting machine reduces the difficulty of maintenance, and correspondingly reduces maintenance time and cost. Parts replacement cycle and cost The key components of X-ray intelligent ore sorting machines, such as X-ray tubes and other sensors, are designed with a long service life, reducing the need for frequent replacement of parts, thereby reducing maintenance costs. However, due to the rapid wear and tear of traditional equipment during use, parts often need to be replaced, and the maintenance cost is naturally high. Labor and training costs The X-ray intelligent ore sorting machine is highly automated and can achieve 24-hour unmanned ore sorting, reducing labor costs. Operators only need to perform basic monitoring and abnormal handling, which greatly reduces manpower requirements. In addition, maintenance personnel do not need too much professional training to operate proficiently, further reducing training costs. Preventive and corrective maintenance costs The X-ray intelligent ore sorting machine uses advanced predictive maintenance technology, which can detect potential faults in advance and prevent them, reducing emergency repairs. Traditional equipment often requires more regular inspections and repairs, and has higher maintenance costs. IX. Maintenance Precautions The X-ray intelligent ore sorting machine is a high-tech equipment that uses X-ray and artificial intelligence technology for ore sorting. During daily use and maintenance, matters that need attention mainly include equipment structure inspection, cleaning and maintenance, troubleshooting and repair, regular calibration, replacement of wearing parts, operator training and other aspects. Equipment structure inspection Regularly check whether the structure of the X-ray intelligent ore sorter is complete, including but not limited to whether the moving parts such as the housing, conveyor belt, roller, bearing, etc. are abnormally worn or damaged. Any damage or wear found should be replaced or repaired in time to ensure the normal operation of the equipment. Cleaning and maintenance Keep the equipment clean, especially the X-ray source and photoelectric sensor, to prevent dust and debris from accumulating and affecting the detection accuracy and stability of the equipment. Regularly clean the slag and impurities inside the equipment to avoid blockage and corrosion. Troubleshooting and repair Be familiar with the common faults of the X-ray intelligent ore sorter and their troubleshooting methods, such as the troubleshooting and repair of problems such as the power indicator light not lighting up, the conveyor belt not operating, and the X-ray source not emitting. For problems that cannot be solved immediately, professional technicians should be contacted for support in a timely manner. Regular calibration According to the guidelines provided by the manufacturer, the X-ray intelligent ore sorter should be calibrated regularly to ensure the detection accuracy and stability of the equipment. The calibration work should be performed by experienced technicians. Replacement of wearing parts Pay attention to the wearing parts of the equipment, such as X-ray tubes, conveyor belts, injection valves, etc., and replace them in time when necessary. Use original accessories to ensure that the performance of the equipment is not affected. Operator training Provide necessary training for the staff who operate the X-ray intelligent ore sorter so that they can master the correct operation methods and basic maintenance knowledge. Untrained personnel are not allowed to operate the equipment at will to avoid damage. Overall, maintaining the X-ray intelligent ore sorter is a systematic project, which needs to be started from multiple angles to ensure the long-term and stable operation of the equipment. Through regular inspection, cleaning, calibration and maintenance, the service life of the equipment can be greatly extended, and the work efficiency and sorting accuracy can be improved. At the same time, attention should also be paid to sufficient training of operators to ensure that they can properly handle emergencies and ensure the continuity and safety of production.

As we all know, mineral resources are the pillar of national infrastructure. During the mining process, most ores exist in the state of mineral and gangue coexistence. Only after a series of processing procedures can usable minerals be obtained. Before the ore can be effectively used, it needs to be crushed and dissociated, and then enriched by the corresponding mineral processing method. The so-called dissociation degree of a certain mineral is the ratio of the number of particles of the mineral monomer dissociated to the sum of the number of intergrowth particles containing the mineral and the number of particles of the mineral monomer dissociated. First, the block ore particles change from large to small, and various useful minerals are dissociated by reducing the particle size. First, in the crushing process, some of the various minerals that were originally intergrowthed together crack along the mineral interface and become particles containing only one mineral, which we call monomer dissociated particles, but there are still some small mineral particles that contain several minerals intergrowthed together, which are called intergrowth particles. Over-crushing mainly refers to the use of excessive grinding to achieve the full dissociation of useful minerals. In this process, more fine particles that are difficult to select are produced, that is, the phenomenon of "over-crushing" occurs. Over-crushing not only affects the grade and recovery rate of the concentrate during the selection process, but also increases the consumption of the grinding and selection process due to unnecessary crushing, resulting in increased beneficiation costs. The main hazards of over-crushing are: an increase in useful fine particles that are difficult to recover, low concentrate grade and recovery rate, increased machine loss, reduced unit time capacity, and increased useless power consumption of crushed ore. From the perspective of mineral structure, except for a few extremely coarse-grained ores that can obtain a considerable number of monomer dissociated particles after crushing, most ores must be ground to obtain a relatively high degree of dissociation. Ore crushing and grinding are too coarse and the degree of dissociation is insufficient, and too fine will cause equipment wear and increased consumption. Too coarse or too fine will lead to low concentrate grade and recovery rate. Therefore, appropriate grinding fineness is a necessary condition for achieving good separation of useful minerals and gangue minerals. Mineral processing workers should pay attention to the selection of crushing processes and equipment, strictly control the operating conditions, and strictly control the grinding fine powder within the optimal range determined by the mineral processing test. After some ores are crushed, there will be a certain proportion of low-economic-grade tailings or waste rocks with good dissociation. If such ores enter the subsequent grinding, it will directly affect the concentrate recovery and power consumption cost. Some concentrators adopt the method of early disposal and early selection to discard these useless tailings, which can not only release the production capacity of the concentrator, but also reduce the discharge of tailings after fine grinding, reduce solid mineral waste, and extend the service life of the tailings pond. As a company specializing in the research and development and production of ore sorting equipment, the photoelectric mineral processing products launched by MINGDE Optoelectronics are mainly used in the pre-sorting and pre-discarding of lump ores. According to the different degrees of dissociation of the ore, it can be used for ore sorting within the range of 0.3-15cm; it is suitable for sorting ores with different characteristics such as color, texture, texture, shape, gloss, shape, density, etc. The types of ores currently used by the equipment include fluorite, talc, wollastonite, calcium carbonate, gold mine, brucite, magnesite, silicon slag, pebbles, silica, phosphate rock, coal gangue, sponge titanium, monocrystalline silicon, lithium mica, spodumene, barite, pegmatite, tungsten tailings, coal-based kaolin and other minerals. MINGDE Optoelectronics can provide professional sorting equipment and solutions for ore sorting problems!