Calcium carbonate (CaCO₃), as a widely used compound, plays an important role in building materials, pharmaceuticals, food processing and plastic filling. It mainly comes from three types of ores: calcite, marble and limestone. Calcite is the most stable mineral form of calcium carbonate. It is known for its high purity and unique crystal structure and is often used to make high-quality fillers and pigments; marble is a metamorphic rock that has become the first choice for decorative materials due to its beauty and durability; limestone is abundant and is mainly used to produce basic building materials such as quicklime and cement.

Different types of calcium carbonate ores have different focuses in practical applications. Calcite is suitable for high-end product manufacturing due to its high purity and specific optical properties; marble focuses on color difference and texture consistency; limestone emphasizes the removal of iron and other impurities to ensure the quality of subsequent processes. These differences determine the need for different equipment and technologies in the processing process to meet their respective application needs.

The importance of mineral sorting technology

With the development of science and technology, mineral sorting technology is essential to improve the quality of calcium carbonate products. Traditional manual selection methods are inefficient and inaccurate, making it difficult to adapt to the requirements of modern industry for fineness and scale. Therefore, advanced sorting equipment such as  MINGDER Optoelectronics' ore color sorter and artificial intelligence sorter came into being. These devices can significantly improve sorting accuracy and efficiency while reducing labor costs.

Calcite, marble and limestone require targeted sorting strategies due to their different particle sizes, shapes, colors and internal impurities. For example, calcite and marble are sorted to remove heterochromatic particles, while limestone needs to focus on removing impurities associated with the ore. The color sorter uses photoelectric sensors to identify and separate materials with obvious color differences, which is suitable for removing colored impurities in marble; the artificial intelligence sorter is more intelligent, and continuously optimizes the sorting process through machine learning, which is suitable for complex and diverse limestone ores.

The color sorter uses high-resolution cameras and image processing algorithms to quickly and accurately identify color differences and impurities in marble and automatically remove them. This not only improves the purity and color consistency of marble-type calcium carbonate, but also reduces the errors and labor intensity caused by manual screening. For high-end products that pursue the ultimate quality, enterprises have further introduced artificial intelligence sorting machines, which continuously optimize sorting parameters through machine learning to ensure that every selected ore can meet the top quality standards. This combination has enhanced the competitiveness of products and promoted technological innovation and development in the industry.

The purity of calcite directly affects its application effect in various products. The color sorter effectively removes the debris in calcite with its efficient optical recognition technology and precise sorting ability. In addition, the application of color sorters has also significantly improved production efficiency. The traditional manual selection method is time-consuming and labor-intensive and difficult to guarantee accuracy. In contrast, the color sorter has a high degree of automation, which greatly reduces labor costs and operating risks, saving enterprises a lot of time and capital investment.

Limestone contains a certain amount of impurities, which will affect the quality and use of the final product. To solve this problem, some companies have introduced artificial intelligence sorting machines. This type of equipment can not only identify the vein-like and surface-like impurities associated with limestone, but also conduct a comprehensive evaluation based on the specific characteristics of limestone. Through the built-in learning algorithm, the artificial intelligence sorting machine can continuously optimize its sorting model to ensure that each sorting can achieve the best effect. After use, the purity of limestone is significantly improved, providing a reliable raw material guarantee for the production of high-quality quicklime, cement and other chemical products. The high degree of automation and intelligence not only improves production efficiency, but also greatly reduces labor costs and enhances the company's position in market competition.