Hazards of impurities in coal and the effective removal methods in coal preparation
The various impurities mixed in coal not only affect the quality of coal,but also cause damage to coal processing equipment and transportation machinery,and even lead to safety accidents.Effectively removing impurities from coal has become a key issue that needs to be addressed in the coal industry.The difficulty of impurity removal changes with the development of science and technology,and also determines the methods used for impurity removal.The traditional impurity removal largely relies on the physical properties of impurities,metal debris is generally removed by iron remover,jig sorting and shallow trough sorting process can remove part of the light debris,stray hook and stray net can also remove part of the light debris,often a variety of methods are used in combination,thus to play their respective advantages.With the development of artificial intelligence technology,accurate separation of impurities from coal can be achieved by capturing images and 3D data of impurities in real time,using computer vision algorithms to quickly and accurately identify and locate the impurities,and then guiding the robotic arm to perform precise grasping.The key to implementing this method is to establish a comprehensive datasets,design a precise recognition algorithm,and devise a capture control strategy.The intelligent removal of impurities in the coal preparation process is conducive to promoting the intelligent transformation of the coal industry,improving production efficiency and product quality,and reducing labor intensity and costs.
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