为解决湿法排矸存在的水资源消耗量大、精煤水分高、煤泥水处理系统负荷大、原煤易泥化时煤泥产量大等问题,设计了一种基于PLC可编程控制系统和图像智能识别系统的动力煤块煤智能干法分选系统。介绍了该系统的工作原理、系统构成,探讨了分选工艺适用性及存在问题,并展开了分选试验。试验结果表明,对于粒度在25~150mm之间的原煤分选可实现完全干法分选,精煤灰分为12.99%,矸石灰分为81.26%;精煤产率86.30%,矸石产率13.70%;理论分选密度为1.81g/cm3时,总错配物为2.01%,精煤中带矸0.95%,矸石中带精煤1.06%;等误密度为1.80g/cm3时,总错配物1.75%,总体分选效果较好。

In order to solve the problems such as large water resource consumption, high water content of cleaned coal, heavy load of coal slime water treatment system and large coal slime output when raw coal is easy to degrade in water, an intelligent dry separation system of power coal lumps based on PLC and image intelligent recognition system was designed. The working principle and system composition were introduced, and preparation tests were carried out. The test results show that the clean coal ash is 12. 99% and the gangue ash is 81. 26% for the raw coal with particle size between 25 mm and 150 mm. The yield of clean coal is 86. 30%, the yield of gangue is 13. 70%; when the theoretical separation density is 1. 81 g/ cm3, the total mismatch is 2. 01%, cleaned coal contains 0. 95% gangue, and gangue contains 1. 06% clean coal. When the equal error density is 1. 80g / cm3, the total mismatch is 1. 75%, and the overall sorting effect is favorable.