Magnesite, as an important industrial raw material, is the core resource for producing fused magnesia.The traditional mineral processing technology has problems such as low efficiency, large resource waste, and unstable product quality, which seriously restrict its industrial value enhancement.In this context, the artificial intelligence sorting machine developed by Mingde Optoelectronics has achieved precise sorting of raw ore through technological innovation, promoting the efficient conversion of magnesite resources into the electric melting magnesium industry chain and helping enterprises achieve dual breakthroughs in economic benefits and sustainable development.

一、The disadvantages of traditional magnesite sorting

    Traditional magnesite beneficiation relies heavily on manual sorting or simple physical screening,faced with three major issues:One is that the ore composition is complex, and manual sorting is difficult to accurately remove low-grade ore.Secondly, traditional processes can only separate a portion of high-grade ores, resulting in a large amount of low-grade ores being discarded and causing resource waste.Thirdly, inefficient sorting leads to increased energy consumption in subsequent processes, which is not in line with the trend of green production.

二、The significant deconstruction of the magnesite industry pattern by AI sorting technology

     The AI intelligent sorting machine independently developed by Mingde Optoelectronics integrates deep learning, hyperspectral imaging, and intelligent control technology to construct a closed-loop sorting system of "perception analysis execution", achieving full process optimization from raw ore to finished products.

      The reason for such achievements is attributed to the breakthrough in core technology,Including "high-precision recognition, intelligent decision-making, and efficient execution system".

      High precision recognition is achieved by using high-definition optical sensors to collect multidimensional features on the surface of ores for modeling, accurately identifying concentrates and associated ores.

       Intelligent decision-making is the process in which an AI sorting machine system automatically categorizes raw ore into grades for utilization based on information such as ore grade, impurity distribution, and customer needs.

      Efficient execution system means multi step collaborative operation of feeding, identification, and sorting, capable of sorting 5-150mm particle raw ore, with sorting output ranging from 10 to 100 tons/hour, and recognition accuracy of over 98%, far exceeding manual sorting efficiency.

三、The Future of AI Sorting Technology

        In the future, artificial intelligence sorting technology will become the core engine for efficient development of magnesite resources. Mingde Optoelectronics is further exploring innovative scenarios for AI mineral processing equipment, promoting intelligent collaboration between the mineral processing process and the entire process of electric melting magnesium production. Through technological iteration and ecological co construction, we will promote China's magnesium industry to achieve a leap from "scale leadership" to "quality leadership" in the global value chain.