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.

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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.