摘要
巴彦高勒煤矿13盘区工作面巷道及采区皮带输送机驱动采用变频控制,按照4.0 m/s恒速运行,皮带输送机额定运输能力远超过工作面实际产能,变频器节能功能无法充分发挥且运输系统存在能耗高、磨损严重问题。为此,依据13盘区皮带运输现场情况,提出一种智能调速控制系统,该系统通过GL3-24型料流传感器、ICS-17JS电子皮带秤对工作面巷道及采区皮带输送机煤流量进行监测;结合BP神经网络、遗传算法确定带式与煤流量最佳匹配关系,通过模糊控制实现带式输送机智能调速。现场应用后,13盘区皮带输送机能耗及磨损得以明显降低,取得较为显著的应用成果。
The drive of the belt conveyor in the working face and mining area of the 13th panel of Bayangaole Coal Mine adopts frequency conversion control and runs at a constant speed of 4.0 m/s.The rated transport capacity of the belt conveyor far exceeds the actual capacity of the working face,and the energy-saving function of the frequency converter cannot be fully However,the transportation system has problems of high energy consumption and serious wear and tear.For this reason,according to the situation of the belt transportation site in the 13-panel area,an intelligent speed regulation control system is proposed.Monitor;combine BP neural network and genetic algorithm to determine the best matching relationship between belt and coal flow,and realize intelligent speed regulation of belt conveyor through fuzzy control.After the on-site application,the energy consumption and wear of the 13-panel belt conveyor can be significantly reduced,and more significant application results have been achieved.
作者
曹浩浩
杨东
王杜垚
CAO Haohao;YANG Dong;WANG Duyao
出处
《中国矿山工程》
2022年第2期88-94,共7页
China Mine Engineering
关键词
皮带输送机
智能调速
煤流监测
节能降耗
belt conveyors
intelligent speed regulation
coal flow monitoring
energy saving