This spring, MINGDE Optoelectronic welcome a stream of international and domestic visitors, all eager to explore our latest mining technology. The highlight for everyone was our smart AI-based mineral sorting equipment, known for its incredible speed and accuracy.  A notable day was May 11th, when we welcomed esteemed delegates from India representing major quartz mining operations，Led by Mr. Majji from Vita Mining, one of South India's premier quartz mines, they arrived with keen interest in our AI sorting capabilities, hoping to uncover new methods to enhance the efficiency and quality of their pegmatite processing. Our technical team gave them a thorough insight into how our AI sorter operates, its unique strengths, and shared real-life success stories. A live demonstration illustrated the machine adeptly handling pegmatite ores, utilizing sophisticated algorithms to segregate minerals with high precision, thereby boosting extraction yields and reducing environmental footprint. The Indian delegation was highly impressed with MINGDE's technological advancements and engaged in deep discussions on potential collaboration strategies. They envisioned our AI sorting technology sparking a transformation in India's quartz mining sector, fostering sustainable practices. Our Managing Director commented, "We feel privileged by the Indian delegation's visit and their positive feedback, validating our dedication to innovation and customer-focused strategies. We remain committed to pushing the boundaries of mining technology and supporting our partners through intelligent, eco-conscious solutions." These interactions reinforced MINGDE Optoelectronic's international relationships and paved the way for expanding our reach with our state-of-the-art sorting technology. With sights set on the horizon, MINGDE continues to champion innovation, guiding the mining industry towards a future marked by increased intelligence and efficiency.

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.  

Ore photoelectric sorting is an advanced mineral sorting technology. It uses photoelectric sensors to detect and identify minerals based on the photoelectric properties of minerals to achieve effective mineral sorting. This technology imitates the action of hand selection, and greatly improves the efficiency and accuracy of mineral processing through a combination of machinery and electricity. During the ore photoelectric sorting process, the photoelectric sensor emits a beam of light to the mineral. Minerals absorb the energy of light and reflect it. Different types of minerals have different spectral characteristics of absorption and reflection due to differences in their internal structures and compositions. Photoelectric sensors can accurately identify minerals by capturing these reflection spectral features. Ore photoelectric separation technology is widely used in the separation process of various ores, especially in the primary selection of pegmatite quartz vein-type ores. It can partially replace the traditional manual selection method, reduce labor intensity and improve production efficiency. In addition, ore photoelectric separation technology is also widely used in scenarios such as pre-disposal waste treatment, low-grade ore enrichment, and sorting of associated ores of multiple mineral types. Pre-disposing waste treatment is one of the important applications of ore photoelectric separation technology. In the process of ore mining and processing, there are often large amounts of gangue and low-grade ore. Through photoelectric separation technology, these useless or low-value minerals can be effectively separated, thereby reducing the amount of waste rock in subsequent treatment processes and reducing the overall cost of mineral processing. Low-grade ore enrichment is another important application area. Many ores cannot meet the requirements of economic mining due to their low grade. Through ore photoelectric separation technology, the useful components in these low-grade ores can be effectively enriched and the grade of the ores can be improved, making them economically valuable for mining. Low-grade ore enrichment is another important application area. Many ores cannot meet the requirements of economic mining due to their low grade. Through ore photoelectric separation technology, the useful components in these low-grade ores can be effectively enriched and the grade of the ores can be improved, making them economically valuable for mining. The sorting of multi-mineral associated ores is also an important application scenario of ore photoelectric separation technology. In ores associated with multiple mineral types, the property differences between different minerals may increase the difficulty of mineral processing. Through photoelectric separation technology, different minerals can be effectively separated, reducing the difficulty of mineral processing and improving the efficiency of mineral processing. After years of hard research, Mingde Optoelectronics Technology Co., Ltd. not only developed a traditional photoelectric color sorter, but also launched an advanced AI photoelectric sorter.MIINGDE 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 photoelectric sorting. https://www.mdoresorting.com/wet-intelligent-minerals-separator-ore-sorting-machine-leading-manufacturer-of-china Ore photoelectric separation technology plays an important role in the field of mineral processing due to its high efficiency and accuracy. With the continuous advancement of science and technology and the continuous innovation of photoelectric technology, it is believed that ore photoelectric separation technology will be more widely used and developed in the future.

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 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.  

1. Definition and main components of limestone Limestone is a common sedimentary rock, the main component of which is calcium carbonate (chemical formula: CaCO₃). Limestone can be directly processed into stone and burned into quicklime. Quicklime becomes slaked lime after adding water. The main component is calcium hydroxide (Ca(OH)₂), which is often used in building materials and industrial raw materials. 2. Physical and chemical properties of limestone The physical properties of limestone include density, porosity, hardness, strength, decomposition temperature, thermal expansion coefficient, specific heat capacity, thermal conductivity, color, etc. For example, the density of limestone is approximately between 2.65 and 2.80 g/cm³, the hardness is between 2 and 4 on the Mohsscale, and the reference value of compressive strength is approximately 7.85 to 196.14 Mpa. The chemical properties of limestone mainly depend on the chemical properties of its main component, calcium carbonate. When heated to 898~910℃ under normal pressure, limestone will decompose into lime and carbon dioxide. The calcium carbonate in limestone reacts with almost all strong acids to form corresponding calcium salts and release carbon dioxide at the same time. In addition, the solubility of calcium carbonate in limestone in water containing carbon dioxide is much higher than that in water without carbon dioxide, because calcium carbonate generates more soluble calcium bicarbonate at this time. 3. Application of Limestone Limestone is widely used in building materials, roads, metallurgy, chemical industry and other industries. Building Materials Limestone can be used to produce lime and slaked lime.Quicklime can be used to produce building materials such as gypsum products, putty, and paint.At the same time, limestone can also be directly used to produce concrete, mortar and other building materials. Chemical raw materials Limestone can be used as a chemical raw material to produce a variety of chemical products, such as calcium chloride, calcium nitrate, calcium hydroxide, etc. These chemical products are widely used in food, medicine, pesticides and other fields. Metallurgical auxiliary materials In the metallurgical industry, limestone can be used as an auxiliary material for desulfurization and dephosphorization of molten metals. The calcium sulfate and calcium phosphate produced can be recycled as by-products. At the same time, limestone can also be used to produce metal elements such as calcium and magnesium. Environmentally friendly materials Since limestone can react with acidic substances to form precipitates, it can be used in environmental protection fields such as wastewater treatment and flue gas desulfurization. For example, limestone can react with acidic wastewater to form precipitates, so that harmful substances in the wastewater can be removed; in flue gas desulfurization, limestone can react with sulfur dioxide to form calcium sulfate, thereby achieving the purpose of desulfurization. Limestone can also be used to produce glass, ceramics, coatings and other products; in agriculture, limestone can be used as fertilizer to increase the pH value of the soil; in medicine, limestone can be used to produce some drugs and reagents.With the continuous development of science and technology, the application prospects of limestone will be broader. 4. Limestone mining Limestone mining generally follows these basic steps: 1) Exploration and evaluation: First, geological exploration is carried out on potential limestone mining areas to evaluate the reserves, quality and economic feasibility of limestone mining. 2) Mining Permits: Obtain necessary mining licenses and environmental impact assessment approvals to ensure mining activities are carried out legally and in compliance with regulations. 3) Selection of mining method: According to the characteristics and geographical location of the limestone deposit, the appropriate mining method is selected. Common methods include open pit mining and underground mining. 4) Mining operations: In open-pit mining, step-by-step or slope mining methods are usually used to dig downwards. Underground mining may use chamber-pillar method, staged caving method, etc. 5) Stone processing: The mined limestone needs to go through crushing, screening and other processing processes to meet different application requirements. 6) Transportation and Storage: The processed limestone is transported to the processing plant or storage site by truck, rail or belt conveyor. 7) Environmental protection and reclamation: Measures should be taken to prevent environmental pollution during the mining process, and land should be reclaimed after mining to restore the ecological environment. 5. Technology and equipment for limestone mining Limestone mining technology and equipment include: 1) Drilling equipment: used to drill holes in limestone for blasting operations. 2) Blasting equipment: used to separate limestone from rock. 3) Loading machinery: such as excavators, loaders, etc., used to load the limestone after blasting. 4) Transportation equipment: such as trucks, rail cars, conveyor belts, etc., used to transport limestone from the mining site to its destination. 5) Crushing and screening equipment: including jaw crusher, cone crusher, hammer crusher, vibrating screen, etc., used to crush limestone into products of different specifications. 6) Sorting equipment: including gravity sorting equipment, magnetic separation equipment, photoelectric sorting equipment, etc., used to separate crushed limestone and impurities https://www.mdoresorting.com/heavy-duty-ai-ore-sorting-machine-ore-sorter-mineral-separator-sorting-38cm-particles. 6. Safety and environmental protection measures in limestone mining During limestone mining, the following safety and environmental protection measures must be taken: 1) Safety procedures: Ensure that all staff follow safe operating procedures to avoid accidents. 2) Dust prevention measures: Take measures such as spray dust reduction and closed transportation to reduce the harm of dust to the environment and human health. 3) Noise control: Take sound insulation measures to reduce noise pollution generated by mining activities. 4) Water resource protection: Rationally utilize water resources and prevent water pollution. 5) Waste disposal: Properly dispose of waste generated during the mining process to reduce the impact on the environment. 7. Latest trends in limestone mining Recent trends in limestone mining include: 1) Intelligent mining: Use advanced automation and information technology to improve mining efficiency and safety. 2) Green mining: focus on environmental protection and adopt more environmentally friendly mining technologies and management methods. 3) Energy conservation and emission reduction: Reduce energy consumption and emissions by improving processes and equipment.        

1. Talc Overview Talc is a silicate mineral with a chemical composition of Mg3Si4O102. It is a trioctahedral mineral with a soft, smooth feel and a low Mohs hardness (1). It is often in the form of blocks, blades, fibers or radial aggregates. The color of talc is mostly white or off-white, but it can also have various colors due to other impurities. Due to its unique layered structure and lubricity, talc is widely used in industry, such as as a filler, reinforcing agent and insulating material. 2. Talc mining and processing There are two main ways to mine talc: open-pit mining and underground mining. Open-pit mining is suitable for talc mines above the surface, while underground mining is used for ore bodies below the surface. During the mining of talc, attention should be paid to the crushing of the ore because it is relatively fragile. After a series of processes such as crushing and grinding, talc ore can be made into talc powder of different specifications for use in various industrial fields. 3. Application fields of talc Talc is widely used in many industries due to its unique physical and chemical properties. In the cosmetics industry, talc is used as a filler for moisturizing powder, beauty powder, etc. In the coatings industry, talc is used as a white body pigment for various industrial coatings. In the papermaking industry, talc is used as a filler for paper and paperboard. In addition, talc is also used as a filler and reinforcing agent in industries such as plastics, rubber, cables, and ceramics. (1) Usage of talc in industrial field In the industrial industry, talcum powder is mainly used to improve the mechanical properties of products, such as improving the rigidity, heat resistance, creep resistance, etc. of plastic products. The addition of talcum powder can significantly improve the rigidity and heat resistance of plastic products, while also reducing production costs and improving the market competitiveness of products. (2) Usage of talc in the construction industry In the construction industry, talcum powder can be used to improve the performance of building materials, such as increasing the strength and durability of concrete. Talc is also widely used in architectural coatings, which can improve the hiding power and stability of coatings, while also providing certain thermal insulation and aging resistance effects. (3) Usage of talc in the automotive industry In the automotive industry, talcum powder is mainly used in the production of automotive interior and exterior parts, such as dashboards, door panels, pillars, etc. The addition of talcum powder can improve the mechanical strength and rigidity of these parts, while also reducing the overall weight of the car, contributing to the lightweight design of the car. (4) Talc usage in the aerospace industry In the aerospace industry, talc is widely used in the manufacture of high-temperature structural parts due to its excellent high-temperature resistance.The high-temperature stability of talc makes it an indispensable material in this industry. (5) Usage of talc in the pharmaceutical and cosmetic industries In the pharmaceutical and cosmetic industries, talc is used as a filler and coating agent to improve the quality and safety of products. The whiteness and chemical stability of talc make it widely used in these industries. 4. How to identify the quality of talcum powder (1) Observe color and texture High-quality talcum powder is usually white or light gray, with a fine and smooth texture and no visible impurities. Low-quality talcum powder may be darker in color, rough in texture, and may contain other impurities. (2) Check moisture content The water content of talcum powder will affect its performance and application effect. Generally speaking, high-quality talcum powder has a lower water content and is not easy to absorb moisture and become soft. The water content can be determined through simple experiments, such as placing the powder in a dry environment and observing its moisture absorption. (3) Detection particle size The particle size of talcum powder directly affects its application performance. High-quality talcum powder has uniform particle size and fine particle size, which helps to improve the gloss and smoothness of the product. The particle size distribution can be tested using equipment such as laser particle size analyzer. (4) Analytical chemical composition The main component of talc is magnesium silicate, but it may contain a certain amount of impurities, such as aluminum silicate and iron. Chemical analysis methods can be used to determine the chemical composition of talc to ensure that it meets the requirements of specific industries. 5. Talc purification technology As an industrial raw material widely used in many industries, talc purification technology is directly related to product quality and effective utilization of resources. In the purification process, how to balance product quality and resource waste is particularly important.. Detailed explanation of talc purification technology (1) Flotation Flotation method uses the difference in physical and chemical properties between talc and other mineral surfaces, and adds collectors and foaming agents to combine talc particles with water to form foam, thereby achieving purification. This method is simple to operate, but it is highly dependent on chemicals and has a certain impact on the environment. (2) Hand selection The hand selection method is to purify talc powder and gangue minerals by manual selection according to their different slipperiness. Although this method has high purity, it is labor-intensive and has low production efficiency, making it unsuitable for large-scale production. (3) Magnetic separation Magnetic separation is a method of separating minerals by using a magnetic field, using the magnetic difference between talc and associated minerals. This method is suitable for processing ores with high iron content, but the equipment investment is relatively large. (4) Photoelectric separation https://www.mdoresorting.com/mingde-ai-sorting-machine-separate-phosphorite-ore Photoelectric beneficiation is a method that uses the difference in reflection characteristics of talc and impurity minerals under different light to identify and separate them through photoelectric sensors. This method has high accuracy, but the equipment is complex and the maintenance cost is high. (5) Chemical treatment Chemical treatment is to remove impurities from talc through chemical reactions such as acid washing and alkali washing. This method can effectively remove specific types of impurities, but it may cause pollution to the environment. (6) Heat treatment The heat treatment method is to heat the talc to a high temperature and remove impurities by high-temperature calcination. This method can significantly improve the whiteness and physical and chemical properties of talc, but it consumes a lot of energy. Analysis of resource waste problem The waste of resources in the process of talcum powder purification is mainly manifested in the following aspects: 1. Energy consumption: In the purification process, especially heat treatment and chemical treatment, the energy consumption is huge, which is not conducive to sustainable development. 2. Reagent use: Processes such as flotation require a large amount of chemical reagents, which may be harmful to the environment and have high costs. 3. Tailings accumulation: The tailings generated during the beneficiation process have not been effectively utilized, resulting in a large amount of resource discard.      

Introduction Photoelectric ore sorting technology is an emerging ore processing technology that uses optical property differences to sort ore, and is particularly suitable for the effective processing of low-grade ore resources. This article will discuss in detail the latest progress of photoelectric ore sorting technology and its application in the processing of low-grade ore resources. Overview of Photoelectric Ore Sorting Technology Photoelectric ore sorting technology is mainly based on the differences in the optical properties of minerals, such as color, gloss, transparency, etc., through the illumination of a light source of a specific wavelength, and with the help of high-precision photoelectric sensors to identify and separate different minerals. This technology has the advantages of fast sorting speed, no need to add chemical reagents, and green environmental protection, and is especially suitable for the purification of low-grade ores. Application of Photoelectric Ore Sorting Technology in the Processing of Low-grade Ore Resources Low-grade ores usually refer to those ores whose grades are not enough for direct use, and their grades need to be improved through mineral processing or other treatment methods. Photoelectric ore sorting technology can improve the feed grade before the ore is crushed or ground, thereby reducing the cost of mineral processing and the load of equipment. Advantages of Photoelectric Ore Sorting Technology 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 power consumption cost of photoelectric mineral processing is about 1 yuan/ton, which is much lower than traditional methods. Green and environmental protection: Photoelectric ore dressing has zero pollution to the environment and is a greener ore dressing method. 10 Technological progress: With the development of artificial intelligence technology, the intelligence level of photoelectric sorting equipment has been continuously improved, and it can handle more types of ores. https://www.mdoresorting.com/mingde-ai-sorting-machine-separate-quartzmicafeldspar-from-pegmatite Specific applications As a leading enterprise in the ore photoelectric sorting industry, MINGDE Optoelectronics' ore sorting machines are widely used in metal and non-metallic minerals. Over the years, MINGDE Optoelectronics has been professionally researching ore sorting and has made breakthroughs in many technologies. Among them, the AI ​​intelligent ore sorting machine launched for the first time in China uses advanced deep convolutional neural network technology to extract ore surface features from multiple angles, greatly expanding the types of sorted ores and improving the accuracy of ore sorting, especially in the sorting of pegmatite-type quartz. Experiments have shown that MINGDE AI intelligent ore sorting machines are competent for all types of ore that can be identified by the naked eye. While ensuring the sorting accuracy, our company's heavy-duty machines have greatly improved the sorting output of ore, meeting the requirements of mining companies for large-scale ore sorting. https://www.mdoresorting.com/heavy-duty-ai-ore-sorting-machine-ore-sorter-mineral-separator-sorting-38cm-particles Future development of photoelectric ore sorting technology The future development of photoelectric ore sorting technology will focus on improving sorting accuracy and reliability, reducing costs, improving cost performance, and adapting to the sorting needs of more types and more complex ore structures. At the same time, photoelectric sorting technology will also be combined with other ore dressing technologies to form a more complete ore processing solution. Conclusion Photoelectric ore sorting technology has shown great potential in the processing of low-grade ore resources, which can effectively improve resource utilization, reduce ore dressing costs, and is beneficial to environmental protection. With the continuous advancement and innovation of technology, photoelectric ore sorting technology will play an increasingly important role in the mining field.  

Overview of photoelectric sorting technology Photoelectric sorting technology is a technology that uses optical principles to automatically identify and classify materials. It detects the optical properties of materials, such as color, gloss, transparency, etc., through photoelectric sensors, and then determines whether it has the required characteristics through preset intelligent algorithms, and performs corresponding separation processing. This technology is widely used in industries such as mining, agriculture, food processing, and waste material recycling, especially in improving sorting efficiency and accuracy, reducing labor intensity, and reducing environmental pollution. Working principle of photoelectric sorting technology The working principle of photoelectric sorting technology involves several key components: light source system, sensor system, signal processing system, and execution system. First, the light source system provides light of different wavelengths to illuminate the material to be detected, so that the reflected light presents different colors. The sensor system, usually a linear array CCD sensor, captures these lights and converts them into electrical signals. The signal processing system processes these electrical signals, analyzes the characteristics of the materials through image processing algorithms, and classifies them according to preset standards. Finally, the execution system sorts the sorted materials, usually by high-speed airflow or robotic arms to exclude defective products and retain high-quality products. Application of photoelectric sorting technology in mining In the mining field, photoelectric sorting technology is mainly used for pre-sorting of ore to improve the overall grade of ore and reduce the cost of subsequent processing. For example, in the process of phosphate ore sorting, photoelectric sorting technology can effectively identify and remove low-grade ore and debris, thereby improving the efficiency of mineral processing and reducing energy consumption. In addition, this technology can also be used to process phosphate resources with fine particle size and complex embedded morphology, so that resources that were originally difficult to develop and utilize economically and efficiently can be fully utilized. Advantages and challenges of photoelectric sorting technology The advantages of photoelectric sorting technology lie in its high precision, high efficiency and environmental protection characteristics. It can complete the sorting of a large number of materials in a short time without adding chemical reagents, reducing pollution to the environment. However, the technology also faces some challenges, such as adapting to the sorting needs of more types and complex ore structures, improving the stability and anti-interference ability of the system, and reducing costs. Future development of photoelectric sorting technology With the continuous advancement of technology, photoelectric sorting technology is expected to further improve recognition accuracy and stability in the future, expand the scope of application, and play a greater role in mining and other fields. For example, by combining technologies such as artificial intelligence and big data analysis, the photoelectric sorting system will become more intelligent and automated, and can better adapt to different working environments and sorting requirements. Application of MINGDE Optoelectronic Sorting Technology Hefei MINGDE Optoelectronic Technology Co., Ltd., as a leading enterprise in the field of mining sorting in China, has taken the lead in introducing artificial intelligence, big data sorting and other technologies in the field of ore photoelectric sorting, expanding the variety of ore sorting by photoelectric sorting machines, and making the sorting effect more accurate. The heavy-duty machine developed by the company can sort ores with larger particle sizes, which brings about greater output and meets the requirements of mining companies for large-scale ore sorting. https://www.mdoresorting.com/wet-intelligent-minerals-separator-ore-sorting-machine-leading-manufacturer-of-china Since its establishment in 2014, the company has been working hard in the field of ore sorting for ten years. The staff visited various mining areas in China on the spot, fully communicated with various mining companies, and deeply understood the various requirements of the mines for sorting equipment. The overall structure of the MINGDE sorting machine adopts a split structure to avoid the influence of feeding vibration on the main part of the machine sorting, ensuring the accuracy of sorting; using a conveyor belt instead of a chute reduces the trouble of frequent replacement of wearing parts of the chute machine. The whole machine is coated with an anti-corrosion coating, which improves the adaptability of the machine to the harsh working environment of high dust, high pollution and high corrosion in the mining industry. MINGDE Optoelectronic Technology Co., Ltd. has always believed that integrity makes MINGDE a success and MINGDE creates the best corporate mission. We are willing to work together with friends from all walks of life to achieve the long-term development of mining intelligence and automation.

Overview of silica ore Silica ore is a non-metallic mineral with silica-rich minerals as the main component, mainly including quartz sandstone, quartzite and other forms. The classification of silica ore is complex and diverse, and can be distinguished according to the environment, composition, structure, etc. of its formation. The application of silica is extremely wide, involving many industries such as glass, ceramics, and refractory materials. Classification and characteristics of silica ore The classification of silica ore can be divided from multiple angles: 1. Classification by organizational structure: It can be divided into crystalline silica and cemented silica. Crystalline silica is mainly composed of quartz particles, while cemented silica is quartz particles combined by siliceous cement. 2. Classification by transformation speed: Silica can be divided into four types according to its transformation speed at high temperature: extremely slow, slow, medium and fast transformation. 3. Classification by density: Silica can also be divided into extremely dense, dense, relatively porous and porous according to its density. Application of silica ore Due to its unique physical and chemical properties, silica ore has important applications in many fields: 1. Glass industry: silica ore is an important raw material for glass manufacturing, especially vein quartz, which is the preferred raw material for producing high-quality glass because of its SiO2 content of up to 99%. 2. Ceramic industry: silica ore is used to produce ceramics, especially some ceramic products with special requirements, such as electrical insulation porcelain, chemical corrosion-resistant porcelain, etc. 3. Refractory materials: The high temperature performance of silica ore makes it the preferred raw material for making refractory materials, such as blast furnace refractory materials used in steel smelting. 4. Abrasive industry: silica ore is also widely used in the abrasive industry. Due to its high hardness, it can be used in various grinding and polishing processes. Mining and ore dressing and purification of silica ore The mining of silica ore is mainly carried out in open-pit mode, and the ore dressing and purification process includes steps such as scrubbing, magnetic separation, flotation, acid leaching and photoelectric separation. These processes are designed to improve the purity of silica and reduce the impurity content to meet the specific needs of different industries. Crushing and Grinding Silica ore is usually crushed using jaw crushers and cone crushers. The former is suitable for primary crushing, while the latter is used for secondary or finer crushing. The crushed silica enters the grinding stage. Grinding equipment includes ball mills, high-pressure suspension roller mills and abrasive mills, etc. These equipment can grind silica to the required particle size and improve the quality of silica. Scrubbing and Magnetic Separation Scrubbing is the use of mechanical force and the abrasive force between sand particles to remove film iron, bonding and muddy impurity minerals on the surface of quartz sand. Magnetic separation can remove magnetic minerals such as hematite, limonite and other impurities from scrubbed silica to the maximum extent. Flotation Flotation is mainly used to remove non-magnetic associated impurity minerals such as feldspar, mica, etc. During the flotation process, the chemical conditions of the flotation environment are adjusted by adding flotation agents such as collectors, frothers and regulators to improve the separation efficiency of silica and impurities. Acid leaching Acid leaching is mainly used to further reduce the iron content in silica, especially for quartz sand with high purity requirements. Acid leaching can make the purity of silicon dioxide reach more than 99.93%. Photoelectric sorting https://www.mdoresorting.com/mingde-ai-sorting-machine-separate-quartzmicafeldspar-from-pegmatite Photoelectric sorting is a technology that uses the surface characteristics of silica ore for identification and sorting. It is suitable for silica ores with obvious or complex color characteristics. Through photoelectric detection technology, heterochromatic granular materials are automatically sorted out, thereby improving the overall quality of silica. It is worth mentioning that Mingde Optoelectronics Technology Co., Ltd. is the first to introduce artificial intelligence technology in the field of visible light photoelectric sorting, which can sort more categories of ores. In silica ore sorting, the color, gloss, texture and texture of the ore surface can be used to distinguish the silicon in the ore from the feldspar of the same color. The sorting effect is more accurate than that of the color sorter. Pre-sorting and auxiliary processes Pre-sorting usually includes processes such as scrubbing, magnetic separation and flotation, while auxiliary processes include adding pre-sorting processes after crushing, and improving the quality of the ore entering the mill through pre-waste treatment, improving the production efficiency of subsequent processes and reducing production costs. Conclusion In summary, silica ore, as an important non-metallic mineral, not only has a wide variety of types, but also has a wide range of industrial application value. The continuous deepening of research on its mining and purification technology will help to better realize its potential in various fields. With the advancement of science and technology, the utilization of silica ore in the future may be more efficient and environmentally friendly.

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.