What is feldspar？ Feldspar is the most important rock-forming mineral in surface rocks. It is also a common type of aluminum silicate rock-forming mineral containing calcium, sodium and potassium. There are many types of feldspar minerals, including potassium feldspar, albite, anorthite, etc. Rarer feldspars also include barium feldspar, amazonite, etc. According to different crystal structures and compositions, feldspar can also be subdivided into plagioclase, microcline, orthoclase, striated feldspar and other varieties. These feldspars vary in color, form and transparency. They may be colorless, white, yellow, pink, green, gray or black, and may be transparent or translucent. Furthermore, the basic structural unit of feldspar is a tetrahedron, each of which shares an oxygen atom with another tetrahedron, forming a three-dimensional skeleton, with alkali or alkaline earth metal cations located in the large voids within these skeletons.  What is feldspar used for? Feldspar is widely used in many fields due to its unique physical and chemical properties Architectural decoration field: Feldspar has high durability and aesthetics and can be used to decorate building exteriors and indoor walls. It is not only beautiful but also has a long service life. Glass industry: Albite in feldspar can be used as a raw material for glass fiber. It has chemical corrosion resistance and high temperature resistance, and can significantly improve the quality and performance of glass materials. In addition, feldspar can also be used as a processing and forming aid for glass to improve the speed and accuracy of glass forming. Ceramic industry: Feldspar is an important ceramic raw material and can be used to make ceramic products such as ceramic tiles, pottery, and porcelain. Feldspar has high high temperature resistance and strength, which can improve the toughness and hardness of ceramic products while improving their aesthetics. Chemical industry: Feldspar is rich in aluminum and silicon elements and can be used as raw materials for manufacturing paints, coatings, fertilizers, rubber and other chemical products. In addition, feldspar can also be used as a fire retardant, filler, synergist, etc. to improve the quality and grade of chemical products. How to use feldspar? Feldspar processing technology mainly involves mining, crushing, grinding, screening and other steps. First, raw feldspar is obtained through mining, and then crushed and ground to achieve the desired particle size and shape. Next, the feldspar is sorted by particle size through screening to meet the needs of different fields. During the processing, attention must also be paid to protecting the feldspar to avoid contamination or damage. How to sort feldspar? Feldspar sorting technology is a process of classifying and purifying feldspar in raw ore according to different quality, particle size and chemical composition. Through sorting, feldspar products that meet the requirements of specific application fields can be obtained, improving resource utilization and product added value. At the same time, sorting technology can also help reduce the difficulty and cost of subsequent processing and improve production efficiency. Main methods for traditional sorting of feldspar：Hand selection: Mainly suitable for better quality ores, such as feldspar mined from pegmatite. Workers manually sort according to differences in appearance, color, crystal shape, etc., and remove impurity minerals such as plagioclase, mica, and garnet. Water washing, desliming and grading: For the feldspar in white weathered granite or feldspathic placer, impurities such as clay and fine mud are removed through water washing and desliming. Grading divides feldspar into different grades of products based on differences in particle size. Advanced Technology for Feldspar Sorting： Machine vision technology: The machine vision system replaces the traditional human eye for color sorting to achieve the separation of feldspar from gangue minerals such as muscovite and quartz. This technology has higher accuracy and stability and is suitable for automated sorting of large-scale production lines. Magnetic separation technology: Separate by utilizing the magnetic differences between feldspar and impurities such as iron oxide, mica and garnet. Magnetic separation technology can effectively remove magnetic impurities in feldspar and improve the purity of the product. Flotation technology: Based on the difference in surface properties between feldspar and gangue minerals such as mica and quartz, separation is achieved using flotation machines, flotation columns and other equipment. By adjusting the type and dosage of chemicals during the flotation process, the flotation effect can be optimized and the quality of feldspar products can be improved. Our MINGDE AI sorting machine adopts advanced machine vision technology and uses artificial intelligence methods such as deep convolutional neural network (CNN).Analyze and process material images in the field of visible light optoelectronic sorting. During the training process, multi-dimensional features of materials are automatically extracted and established through CNN local connection, weight sharing, multi-convolution kernel and other methods to establish a database. The sorting effect is far better than traditional photoelectric sorting. In short, feldspar as an important mineral resource, has wide applications in many fields. With the advancement of science and technology and economic development, the application fields of feldspar will be further expanded and deepened. At the same time, we should also strengthen the protection and rational utilization of feldspar resources to achieve sustainable development.  

Non-metallic ores are important resources for the national economy. Ore sorting and processing are of great significance to improving resource utilization and optimizing industrial structure. With the rapid development of AI technology, MINGDE AI sorting machine has shown strong application potential and advantages in the field of non-metallic ore sorting. This article will give a detailed overview of the application of MINGDE AI sorting machine in non-metallic ores, including its technical principles, application characteristics, actual effects and future development trends, in order to provide reference and reference for the intelligent upgrading of the non-metallic ore industry. 1. Technical principles and characteristics of MINGDE AI sorting machine MINGDE AI sorting machine uses advanced AI and computer vision technology to identify and analyze images of non-metallic ores through deep learning algorithms. The equipment uses high-speed cameras to capture the texture, color, shape, gloss, texture and other characteristic information of the ore surface, and uses powerful computing power to process and analyze this information in real time, thereby achieving accurate sorting of non-metallic ores. MINGDE AI sorting machine has the following salient features: High-precision identification: MINGDE AI sorting machine can accurately identify multiple characteristics of non-metallic ores, including color, texture, shape, gloss, etc., thereby achieving accurate classification and screening of ores. High-efficiency sorting: This equipment has high-speed processing capabilities and can quickly complete the sorting of large quantities of non-metallic ores, significantly improving production efficiency. Automated operation: MINGDE AI sorting machine realizes the automated sorting process, reduces manual intervention, reduces labor intensity, and improves production safety. Flexible configuration: The equipment can be flexibly adjusted according to the sorting requirements of different non-metallic ores. It has strong adaptability and can be widely used in various non-metallic ore sorting scenarios.   2. Application of MINGDE AI Sorting Machine in Non-metallic Ores Ore sorting and screening There are many types of non-metallic ores, and different types of ores have significant differences in composition, use and value. MINGDE artificial intelligence sorting machine can accurately classify and screen the ores according to their surface characteristics, and effectively separate the ores and veins in different non-metallic ores, providing convenience for subsequent processing and utilization. Impurity removal and purification Non-metallic ores often contain various impurities, which not only affect the quality of the ore, but also increase the difficulty and cost of subsequent processing. MINGDE AI sorting machine can accurately identify and remove impurities in the ore, improve the purity of the ore, and provide high-quality raw materials for subsequent processing. Particle size analysis and control The particle size of non-metallic ores has an important influence on their performance and application areas. MINGDE AI sorting machine can adjust the corresponding parameters according to application requirements, and perform precise control as required to produce ore products that meet specific requirements. 3. Analysis of the application effect of MINGDE AI sorting machine The application of MINGDE AI sorting machine in non-metallic ores has achieved remarkable results. First, the equipment improves the sorting accuracy and efficiency of non-metallic ores, making ore resources more fully utilized and reducing resource waste. Secondly, through the automated sorting process, manual intervention and labor intensity are reduced, and production safety and efficiency are improved. In addition, MINGDE AI sorter can also be flexibly configured and optimized according to the characteristics of different non-metallic ores, improving the flexibility and adaptability of the sorting process. 4. Future development trend of MINGDE AI sorting machine in non-metallic ores With the continuous advancement of artificial intelligence technology and the expansion of application scenarios, the application of MINGDE AI sorting machine in the field of non-metallic ores will show the following development trends: Technological innovation continues to accelerate With the continuous innovation and development of artificial intelligence technologies such as deep learning and computer vision, the recognition accuracy and processing speed of Mingde artificial intelligence sorting machine will be further improved, providing more efficient and accurate solutions for the sorting of non-metallic ores. Wider application scenarios MINGDE AI sorting machine is not only used in traditional non-metallic ore sorting scenarios, but can also be expanded to more fields. Ores and materials with specific surface characteristics can be sorted. At the same time, the equipment will also be linked with other intelligent equipment and systems to build a more complete non-metallic ore intelligent sorting system. The level of intelligence continues to improve With the integration and application of technologies such as big data and cloud computing, MINGDE AI sorting machine will realize a more intelligent sorting process. By collecting and analyzing sorting data in real time, the equipment can continuously optimize the sorting algorithm and parameter settings to improve sorting accuracy and efficiency. At the same time, the intelligent sorting system will also have adaptive and self-learning capabilities, and can automatically adjust and optimize according to the characteristics of different non-metallic ores. https://www.mdoresorting.com/mingde-ai-sorting-machine-separate-quartzmicafeldspar-from-pegmatite 5. Conclusion The application of MINGDE AI sorting machine in the field of non-metallic ores provides strong support for the effective utilization of ore resources and industrial upgrading. Through the characteristics of high-precision identification, high-efficiency sorting and automated operation, the equipment significantly improves the sorting efficiency and accuracy of non-metallic ores, reduces resource waste and production costs. In the future, with the continuous innovation of technology and the expansion of application scenarios, MINGDE AI sorting machine will play a more important role in the field of non-metallic ores, and promote the intelligent upgrading and sustainable development of the industry. However, we should also recognize that the application of artificial intelligence technology in the field of non-metallic ore sorting still faces some challenges and limitations. For example, the identification and processing of some complex ores may require more advanced algorithms and technical support; therefore, we need to continue to increase research and development efforts to improve the technical level and performance of MINGDE AI sorting machines to promote their wider application in the field of non-metallic ores. In summary, as an important technological achievement in the field of non-metallic ore sorting, MINGDE AI sorting machine has broad application prospects and is full of potential. We have reason to believe that in the future development, INGDE AI sorting machine will make greater contributions to the intelligent upgrading and sustainable development of the non-metallic ore industry with its unique advantages and characteristics.    

The classification and use of ores are very wide. We classify them based on many factors such as the chemical composition, physical properties and industrial applications of minerals. The following are the types of metal ores and non-metallic ores that can be roughly sorted. Metal ore Metal ores are ores containing metal elements or metal compounds, and are mainly used to extract metals. Depending on the metals they contain, metal ores can be subdivided into the following categories: 1. Precious metal ores: such as gold, silver, platinum group metal ores, etc., are mainly used in the manufacture of jewelry, currency reserves and some high-tech products. 2. Non-ferrous metal ores: including copper, lead, zinc, aluminum, etc., which are widely used in wires and cables, building materials, automobile manufacturing, aircraft manufacturing, electronic products and other fields. 3. Ferrous metal ores: such as iron ore, manganese ore, and chromium ore, which are mainly used in the production of steel and other alloys. 4. Rare metal ores: such as tantalum, niobium, lithium, etc., are crucial to high-tech industries such as electronics, aerospace, and new energy vehicles. 5. Radioactive ores: such as uranium ore and thorium ore, which are mainly used in nuclear power generation and medical fields. After mining, crushing, beneficiation and refining, these ores can be refined into metals, which are processed into various products and widely used in various industries such as construction, machinery manufacturing, electronics, transportation, aerospace, etc. Non-metallic ores Non-metallic ores contain no or almost no metal elements. They either provide industrial raw materials or are used as decorative and building materials. 1. Chemical raw material ores: such as phosphate rock, potash, limestone, etc., used in the manufacture of fertilizers and chemical products. 2. Gemstones and decorative stones: such as diamonds, rubies, jade, marble, granite, etc., used in jewelry and architectural decoration. 3. Building material ores: such as gypsum, quartz sand, and limestone, used in cement, glass manufacturing and the construction industry. 4. Ceramic and refractory ores: such as kaolin and clay, used to make ceramic utensils and high-temperature resistant materials. 5. Energy minerals: such as coal, oil, and natural gas. Although they do not strictly belong to the traditional mineral classification, they are also important natural resources and are mainly used for energy supply. In addition to being used as a building material, it is also used to manufacture chemicals, medicines, cosmetics, ceramic products, glass products, etc. It is also widely used in agriculture, environmental protection and high-tech industries. In summary, ores are various and have a wide range of uses. From metal ores to non-metallic ores, from energy ores to construction ores and chemical raw material ores, they all play an important role in their respective fields. The mining and utilization of ores is one of the foundations of modern industrial society. However, the mining process needs to consider environmental protection and sustainable development. With the advancement of science and technology and the development of industry, human demand for ores will continue to increase, and the mining and utilization of ores will become more efficient and environmentally friendly. In order to make full use of various metal and non-metallic ore resources, suitable mineral processing technology is selected for separation in combination with the physical and chemical characteristics of the ore. At present, the common mineral processing methods are mainly the following: Flotation: It is a method of separation by treating the physical and chemical properties of the ore surface to make the minerals selectively attach to bubbles. In the process of mineral processing, especially in the treatment of non-ferrous metal ores (such as copper, lead, zinc, sulfur, molybdenum, etc.), flotation is widely used. In addition, some ferrous metals, rare metals and non-metallic ores (such as graphite ore, apatite, etc.) can also be treated by flotation. Gravity separation: It is a method of separation based on the relative density (also called specific gravity) of minerals. By applying fluid dynamics and various mechanical forces in a moving medium (such as water or air), the concentrators of different densities can create suitable loose stratification and separation conditions, thereby achieving the separation of mineral particles of different densities. Magnetic separation: It is a method of separating ores by using the magnetic difference of minerals to generate different forces in the magnetic field of the magnetic separator. It is mainly used for the separation of ferrous metal ores (such as iron, manganese, and chromium), and can also be used for the separation of non-ferrous metal and rare metal ores. Electrostatic separation: It is a separation method based on the difference in the electrical conductivity of minerals. By placing the minerals in a high-voltage electric field, the electrostatic force acts differently due to the different electrical conductivity of the minerals, thereby achieving the separation of minerals. This method is mainly used for the separation of rare metals, non-ferrous metals and non-metallic ores, especially in the separation of sub-mixed coarse concentrates, such as scheelite and cassiterite, zircon, tantalite and niobium ore. Chemical beneficiation: It is a beneficiation technology that uses chemical methods to change the mineral composition and then enriches the target components through other methods. For example, copper ore containing malachite can be leached with dilute sulfuric acid to convert malachite into copper sulfate solution. By replacing the copper ions in the solution with iron filings, metallic copper (sponge copper) can be obtained. Chemical beneficiation is one of the effective methods for processing and comprehensively utilizing some poor, fine, and impure mineral raw materials that are difficult to be selected. It is also one of the important ways to make full use of mineral resources, solve the problems of wastewater, waste residue, and waste gas treatment, realize waste recycling, and protect the environment. Microbial beneficiation: also known as bacterial beneficiation, is a beneficiation method that uses microorganisms such as iron-oxidizing bacteria, sulfur-oxidizing bacteria, and silicate bacteria to remove iron, sulfur, silicon and other elements from ores. By using iron-oxidizing bacteria to oxidize iron, sulfur-oxidizing bacteria to oxidize sulfur, and silicate bacteria to decompose silicon in bauxite, the purpose of desulfurization, iron removal and silicon removal can be achieved. In addition, microbial beneficiation can also be used to recover metals such as copper, uranium, cobalt, manganese, and gold. https://www.mdoresorting.com/mingde-ai-sorting-machine-separate-phosphorite-ore Photoelectric beneficiation: It is a beneficiation method that uses the physical characteristics of the ore to be beneficiated and the gangue to identify and sort. It uses a combination of machinery and electricity to separate minerals by imitating the action of hand selection. It uses the differences in the reflection and transmittance of light of different minerals, such as color, texture, shape, gloss, spots, density and other characteristic differences for identification and sorting. The ore is mainly separated after passing through the feeding system, photoelectric system, electric control system and sorting system. As a leader in the photoelectric mineral processing industry, Mingde Optoelectronics has launched a series of equipment, involving five series and more than 20 types of equipment, mainly artificial intelligence sorting machines, ore color sorting machines, mineral sand sorting machines, X-ray intelligent sorting machines, foreign body removal robots and other products. At present, it is widely used in metal and non-metallic minerals such as quartz, potassium feldspar, calcite, calcium carbonate, dolomite, fluorite, talc, wollastonite, bauxite, pegmatite quartz, limestone, calcium oxide, sponge titanium, silicon slag, gold mine, pebbles, phosphate rock, silica, brucite, tungsten tailings, coal gangue, coal-bearing kaolin, etc.!

The application scenarios of AI technology in mining resource sorting mainly include the following aspects: 1. Exploration of new minerals: AI technology has begun to be applied to the exploration of new minerals, such as using machine learning algorithms to analyze geological data and predict the best drilling locations. This technology has been successfully applied to gold exploration and is being used in the exploration of other minerals. 2. Unmanned mining vehicles: The application of AI technology in large mining companies is mainly to improve operational efficiency. Unmanned vehicles have been used in open-pit mines, and unmanned driving is achieved through automated transportation systems, which improves the efficiency and safety of mine operations. 3. Ore sorting optimization: AI technology can classify and identify ores through image recognition technology, improving sorting efficiency and accuracy. Data analysis and prediction models can predict the quality and composition of ores in advance, help adjust sorting parameters, and improve ore utilization. https://www.mdoresorting.com/mingde-ai-sorting-machine-separate-phosphorite-ore   4. Mineral association analysis: AI technology can predict the location and type of new mineral deposits through mineral association analysis. This method uses the combination of minerals formed under specific physical and chemical laws. For example, the formation of minerals is closely related to the chemical composition of the host rock and environmental conditions. 5. Mining resource exploration and mining: The application of AI technology in mining resource exploration and mining includes remote monitoring, automated mining, data analysis and decision support, intelligent safety monitoring, environmental monitoring, logistics management, data analysis, decision support, and automated control. These applications improve the efficiency, safety, and environmental protection of mining operations. 6. Mine management: AI technology can help mine managers analyze various production and operation data in a timely manner, provide visual data insights and intelligent decision-making support, and improve management efficiency. Automated and intelligent management AI technology can realize automated control of mining equipment and operating processes, improve operating efficiency and safety, and achieve more refined mine management. 7. Mine safety: AI technology can realize remote control and unmanned mine operations, improving the safety and work efficiency of operators. Advanced AI safety monitoring systems can analyze the mine operating environment in real time, promptly identify potential safety hazards, and warn operators, greatly improving mine safety. 8. Mine environmental monitoring: AI technology can monitor mine soil, water quality, air quality and other indicators in real time to detect environmental problems in a timely manner. Predictive analysis models can predict environmental change trends and provide a basis for formulating environmental protection measures. 9. Mining logistics: AI technology is revolutionizing mining logistics management. From automated loading and unloading to intelligent scheduling, unmanned transportation to real-time inventory monitoring, AI plays a key role in improving mining logistics efficiency, reducing costs, and enhancing safety. 10. Mine data analysis: AI technology can help mining companies quickly process and analyze massive amounts of production, environmental, safety and other data to uncover hidden value and patterns. Through AI technology, mining companies can better predict equipment failures, optimize production processes, improve resource utilization, and improve overall operational efficiency. 11. Mining decision support: AI technology can help mining companies make more intelligent and data-driven decisions. By analyzing massive production data, market forecasts, environmental monitoring and other information, AI systems can provide mine managers with more comprehensive decision-making suggestions and improve the operating efficiency and risk management capabilities of mines. 12. Mine automation: The application of AI technology in mine automation includes self-driving mining trucks, automated mining drilling, and intelligent ore sorting. These technologies improve production efficiency, reduce manual intervention, and improve operational safety. 13. Remote control of mines: AI technology can achieve real-time monitoring and automated control of mine sites through remote sensing, machine vision, machine learning and other technologies, greatly reducing the need for manual entry into dangerous environments. Remote control technology can also help mining companies improve the flexibility of production management and achieve effective management of distributed mines. These application scenarios demonstrate the wide application and huge potential of AI technology in mining resource sorting, indicating that mining will become more intelligent and efficient in the future.  

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.  

Photoelectric sorting is an important ore sorting method in ore pre-sorting. Photoelectric sorting equipment is a device that directly completes the ore sorting process. During the ore sorting process, the sorting equipment identifies the ore through its physical characteristics, mainly through the differences in color, texture, texture, shape, gloss, density and other characteristics, to achieve the sorting of useful minerals and gangue minerals. At present, the commonly used mining sorting equipment mainly includes ore color sorters, artificial intelligence sorters, and X-ray intelligent sorters. Below, we will take you to understand each type of mining sorting equipment and its applicable scope one by one, and help you correctly choose the appropriate sorting equipment. 1. Ore color sorter Ore color sorter is mainly based on the color difference of materials. It integrates optical, mechanical and electrical equipment to achieve material sorting and purification through photoelectric detection and image processing. It belongs to a color sorting ore sorter. This type of ore color sorter integrates high technologies such as light, machinery, electricity, and gas. It is widely used in material sorting to improve the quality of material products. In recent years, domestic color sorters have continuously accelerated the pace of technological innovation. Manufacturers have grown through exploration and innovation, key components have been updated, and first-line products have become increasingly mature in terms of stability, reliability, and high-precision sorting effects. The ore color sorter mainly includes a vibrating bucket, a main unit for integrated feeding, sorting and unloading, and a touch-sensitive operation panel. When working, the ore enters the crawler through the color sorter feeding hopper and is quickly transported into the sorting box. Each ore is scanned line by line through two sets of high-definition cameras, and the relevant information is transmitted to the central system through the sensor. The central system compares the wavelength or frequency of the different colors of reflected light waves of superior and inferior ores with the set parameters, and then identifies the location of the heterochromatic ore to be removed through a complex algorithm, and issues instructions to the corresponding solenoid valve, using pneumatic force for precise separation. The ore color sorter has a wide range of applications, mainly for minerals with color differences, such as quartz, calcium carbonate, barite, calcite, dolomite, potassium feldspar, wollastonite, fluorite, tungsten ore and other minerals. 2. Artificial Intelligence Sorting Machine The artificial intelligence sorting machine mainly relies on AI photoelectric sorting machine technology, and uses artificial intelligence, deep learning, big data and image visual enhancement technology to identify and sort ore. This type of sorting equipment uses artificial intelligence technology to break the original color sorting material limitation problem, greatly expand the sorting application scenario, and meet the sorting use of some difficult and complex ores. The equipment is mainly composed of a vibrating bucket, a host and a microcomputer operation platform. When working, it is necessary to manually sort a number of useful minerals and gangue minerals, and perform image acquisition and training on the artificial intelligence machine respectively. The equipment will automatically extract the surface texture, gloss, texture, shape, color and other features of useful minerals and gangue minerals to establish a sorting model. During the sorting process, the ore enters the crawler through the intelligent machine feed hopper, and enters the sorting box after rapid transportation. The upper and lower sets of ultra-high-definition cameras will perform multi-dimensional stereoscopic scanning on each ore material, and transmit the information of each ore material from the sensor to the industrial computer. It identifies useful minerals and gangue minerals through model recognition and algorithms, and issues instructions to the solenoid valve corresponding to the gangue area, using pneumatic force for precise separation. The equipment is mainly trained and modeled based on the multi-dimensional characteristics of the surface of the ore, and then identified and separated. The equipment can be adjusted according to the on-site situation, and can achieve diversified ore sorting. Artificial intelligence sorting machines are suitable for complex and difficult-to-sort minerals. As long as the ore has surface texture, gloss, texture, shape, color and other surface characteristics, it can be sorted, such as pebbles, silica, wollastonite, silicon slag, gold ore, talc, phosphate ore, coal-based kaolinite, fluorite, lithium ore and other ores. The overall sorting and accuracy and adaptability are far superior to traditional color sorters. 3. X-ray intelligent sorting machine X-ray intelligent sorting machine is mainly XRT (transmission technology), which detects the characteristic values ​​of ore size, thickness, density and the difference in the reaction of elements and atomic sequences of related components to X-rays through X-rays to achieve mine waste separation. This technology is mainly suitable for metal ores that cannot be manually sorted due to surface characteristics. Its operating principle: the ore and gangue to be sorted must have obvious differences in density. The specific process is as follows: First, a small amount of ore and gangue should be taken for training. The different densities make X-rays absorb different degrees when transmitting ore and gangue. Then the camera is used to collect and transmit. The grayscale value of the image is different after industrial computer imaging and algorithm. The deep learning model is built. When the X-ray machine is produced, the feeding system will enter the detection area at high speed from the crawler. The x-ray will transmit each ore and gangue. The self-developed multi-channel high-definition camera is successively used for signal acquisition and transmission to the industrial computer. It uses complex algorithms and image processing, and then compares and identifies with the parameters of the established model. The industrial computer will issue instructions to the gas valve at the corresponding position of the gangue, and use pneumatic force to separate the gangue to achieve the purpose of waste disposal and enrichment. X-ray intelligent sorting machine is suitable for ores with density differences such as coal gangue, lead-zinc, tin, antimony, tungsten, copper, manganese, titanium, fluorite and other metal and non-metallic ores.

Recently, the attention to titanium alloys has increased again. As a key raw material for the production of titanium alloys, titanium sponge can be used to manufacture products in aerospace, national defense, chemical industry, consumer electronics and other fields. Due to its excellent physical and chemical properties, titanium sponge occupies a pivotal position in the demand for high-performance materials. The main producing countries of titanium sponge include the United States, Russia, China, Japan, Ukraine, Kazakhstan, etc. Among them, China is the world's largest producer of titanium sponge, and its output accounts for 62.7% of the global total output. The United States and Russia are also important producers of titanium sponge. Although their output is not as good as that of China, they occupy an important position in the high-end market. Japan and Ukraine occupy a certain share in the production of titanium sponge. In recent years, China has made significant progress in the research of ultra-soft titanium sponge. After years of hard work, Panzhihua Iron and Steel Research Institute Co., Ltd. of Panzhihua Iron and Steel Group has successfully developed ultra-soft titanium sponge suitable for the aviation field, breaking the monopoly of foreign technology and providing key material support for the country's aviation industry. The market status of titanium sponge shows that the global output of titanium sponge will be 279,000 tons in 2022, a year-on-year increase of 14.6%. China's titanium sponge production accounts for 62.7% of the world's total production. China's titanium sponge market concentration is relatively high. In 2019, Pangang Titanium's titanium sponge production accounted for 22.4% of the country's titanium sponge production. Luoyang Shuangrui Wanji, Guizhou Zun Titanium, Chaoyang Parkson, and Chaoyang Jinda's titanium sponge production accounted for 18.9%, 14.6%, 11.8%, and 10.4% of the country's titanium sponge production, respectively. By analyzing the impurities in titanium sponge and the requirements for sorting accuracy, and referring to the feasibility of other sorting equipment on the market, the equipment that can not only sort out foreign matter in titanium sponge, but also meet the requirements of sorting particle size, sorting accuracy, and production site is the AI ​​artificial intelligence sorting machine of Mingde Optoelectronics. First of all, the AI artificial intelligence sorting machine can establish an identification model based on the materials to be sorted. If new materials to be identified are added, they can be added through training in the later stage. It can simultaneously identify multiple foreign objects and accurately separate them; the equipment can currently support the sorting of materials with a particle size of more than 3mm, and the equipment has been mature and applied in large quantities in the field of ores, which can fully meet the sorting requirements of titanium sponge. https://www.mdoresorting.com/ai-intelligent-mineral-ore-sorting-machine Deep identification, high precision. Mingde Optoelectronics Artificial Intelligence Sorting Machine is equipped with AI artificial intelligence technology and human eye recognition module, which can comprehensively and deeply identify material characteristics, realize real-time material analysis, and have high recognition accuracy. It can also train and learn new material types through learning mode to further improve the overall sorting effect. High-speed collaborative stable system, large output. The modules of the ore sorting machine run at high speed, and each functional area operates efficiently and collaboratively. The whole machine runs stably and strongly, and the ore sorting is done in one go, achieving greater output. Multi-dimensional analysis technology, significant effect. From the multi-dimensional identification of the texture, color, shape, texture, etc. of the material to be sorted, the ore positioning algorithm, adaptive algorithm, precise material center, and precise blowing positioning, the accuracy of the rejection system is improved, and the sorting effect is good. Master the core technology and the application range of mineral processing is wide. The sorting machine uses the advantages of advanced technology to realize the gradual upgrading of mineral processing technology. Its application range is wide, solving the problem of complex structure and low utilization rate of various materials.

Gold deposits can be broadly classified into vein gold deposits and placer gold deposits. The vein gold deposits are mainly formed by internal geological forces, mainly by volcanoes, magma, and geological actions; the placer gold deposits are mainly formed by mountain gold deposits exposed on the surface, which are weathered, eroded, and broken into gold sand, gold grains, gold flakes, and gold foam after long-term weathering, erosion, and crushing. Under the action of wind and water flow, they are gathered and deposited in rivers, lakes, and coasts, forming alluvial, alluvial, or coastal placer gold deposits; another part is weathered and eroded to form residual placer gold deposits or slope-accumulated placer gold deposits. The mineralization age of this type of ore is generally relatively long. According to the associated conditions, my country's gold deposit types can also be divided into gold-bearing quartz veins, gold-bearing pyrite quartz veins, gold-bearing pyrite altered granites, gold-bearing polymetallic sulfide ore quartz veins, gold-bearing oxide ore quartz veins, and gold-bearing tungsten-arsenic ore quartz veins. The grade of vein gold ore in industrial mining is generally 3~5g/ton, with a cut-off grade of 1~2g/ton, and the grade of placer gold is 0.2~0.3g/m3, with a cut-off grade of 0.05~0.1g/m3. However, the current gold mining in my country is mainly based on vein gold deposits, accounting for about 75%~85%. At present, gold mines are widely used in jewelry, industry, high-tech and other industries. Due to its scarcity and non-renewable nature, its overall value is relatively high. At present, the gold ore dressing methods are mainly divided into four types: gravity separation, flotation, chemical separation, and photoelectric separation. Gravity separation is suitable for coarse gold recovery. It is generally an auxiliary process in gold ore dressing and is used as a pre-selection process before flotation or chemical separation. Flotation is widely used in rock deposits. There are suction or aeration stirring flotation machines for flotation. Chemical separation mainly includes amalgamation and chlorination. Amalgamation is mainly suitable for coarse monomer gold, but it is gradually replaced due to its high pollution. Chlorination mainly includes stirring chlorination and percolation chlorination. The above three separations are conventional gold ore separations. For gold mines with economic mining grade or higher than industrial grade, the separation cost is lower than the economic cost. However, the general situation of gold mines in my country is that there are fewer rich mines and more poor mines. In terms of mining difficulty, there are fewer easy mines and more difficult mines. Most gold mines have a grade of less than 2 grams/ton, which is at or below the critical mining grade. If the above methods are used for direct separation, many gold mines will be lower than the economic mining value. The photoelectric sorting method grasps the pain points and difficulties of domestic gold ore sorting, and uses AI + photoelectric sorting to enrich the gold ore by pre-discarding the gold ore, thereby achieving a higher economic mining grade, and solving the problem of low grade and high sorting cost of domestic gold ore. The working principle is mainly to crush and dissociate the gold ore, and then use the AI sorting machine to establish a multi-dimensional three-dimensional model of the ore. The AI photoelectric sorting machine is used to identify the comprehensive characteristics of the gold ore surface, such as texture, color, gloss, shape, and reflectivity. After the industrial computer is combined with AI technology, the concentrate and waste rock in the gold ore are sorted out, so as to achieve the purpose of gold ore enrichment. https://www.mdoresorting.com/mingde-ai-sorting-machine-separate-quartzmicafeldspar-from-pegmatite The ore that has passed the AI ore sorting machine only needs normal crushing and dissociation, and the particle size is 0.5cm-10cm, which is about 3-4 times the size of the selected particle size. It can be directly sorted and enriched, and the discarded tailings can be used as materials for various buildings, mine backfill, etc. After enrichment, the gold ore is separated by flotation or chemical separation. Pre-disposal reduces the processing level of the original ore and saves the processing cost of subsequent processes. For some gold mines below the economic mining grade, AI ore sorting machines can be used to enrich them to the economic mining grade, thereby increasing the utilization value of a large number of low-grade gold mines. AI sorting machines can not only sort gold ore, but also can use AI machines to sort gold associated ores as long as they can be crushed and dissociated, thereby increasing the comprehensive utilization rate of the mine. At the same time, the cost of the AI sorting machine itself https://www.mdoresorting.com/heavy-duty-ai-ore-sorting-machine-ore-sorter-mineral-separator-sorting-38cm-particles Mingde Optoelectronics AI Ore Sorting Machine has mature technical accumulation for gold ore sorting. It can pre-dispose waste tailings on the premise of enriching gold ore, and the gold grade of the discarded tailings is far lower than the economic mining grade.