摘要
Abstract
Aiming at the existing problems of uneven air volume distribution,high energy consumption,low ventilation efficiency and others in the underground ventilation system of the No.1 Mine in Huayang Group,an optimization scheme based on intelligentization control technology is proposed.This solution adopts a three-layer architecture of"perception layer network layer application layer",and constructs a perception network through the FLOWSIC series wind speed sensor,GJC4 optical methane sensor,and KGS series temperature and humidity sensor.The network layer is established by combining industrial Ethernet and fiber optic communication,and the application layer includes a monitoring center,a data processing center,and a remote management platform.The system adopts model predictive control algorithm to achieve automated operation of the ventilation system,based on Hardy Cross method for ventilation network calculation,and realizes real-time storage and historical query of data through SQL Server management system.The application results show that after the renovation,the average power of the main ventilation fan decreased from 5400 kW to 4800 kW,the daily electricity consumption decreased from 12 500 kW·h to 10 800 kW·h,the operating efficiency of the fan increased from 75.2%to 86.8%,the accuracy of the working face air volume adjustment increased to±3%,and the monthly average number of gas exceedances decreased from 12 to 3.关键词
地下矿井/通风系统/智能优化/能耗控制Key words
underground mine/ventilation system/intelligent optimization/energy consumption control分类
矿业与冶金
