摘要
某建材矿为推进矿山能源管理智能化发展,取消矿山传统手工记录和实地巡检等能源监测方式,提出了基于物联网技术与能源分级计量模式的智能化能源在线监测系统设计方案,构建了集矿山能源数据采集、统计、分析、预警、管理于一体的矿山能源在线监测系统。该系统采用分级计量管控,能够为矿山企业提供最为直观的生产用能信息,并通过设备能源联动算法,实时跟踪破碎机、振动筛等大型设备用能情况,给予矿山用能设备运行优化建议,实现节能设备联动。在线监测系统应用实践证明,该系统具有强大的设备联动降耗功能,可及时预警大型设备用能风险,通过设备能源联动算法智能控制多类设备能源使用,可提高矿山能源资源利用效率,降低能源消耗,避免环境污染。
In order to promote the intelligent development of mine energy management and eliminate the traditional manual recording and field inspection of energy monitoring methods in a building material mine,an intelligent energy online monitoring system based on Internet of Things technology and energy hierarchical measurement and control mode is proposed.A mine energy online monitoring system integrating mine energy data collection,statistics,analysis,early warning and management is constructed.The system adopts hierarchical measurement and control,which can provide the most intuitive production energy information for mining enterprises.Through the equipment energy linkage algorithm,the energy consumption of large equipments such as crusher and vibrating screen is tracked in real time,and the operation optimization suggestions of mine energy-using equipment are given to realize the linkage of energy-saving equipment.The application practice of the on-line monitoring system proves that the system has a powerful function of equipment linkage and consumption reduction,which can timely warn the energy consumption risk of large equipment,and intelligently control the energy use of multiple types of equipment through the equipment energy linkage algorithm,which can improve the utilization efficiency of mine energy resources,reduce energy consumption and avoid environmental pollution.
作者
李俊
张韵
陈广文
LI Jun;ZHANG Yun;CHEN Guangwen(Taochong Mining Co.,Ltd,Anhui Masteel Mining Resources Group;Sinosteel Maanshan General Institute of Mining Research Co.,Ltd.)
出处
《现代矿业》
CAS
2024年第11期243-247,共5页
Modern Mining
关键词
矿山企业
设备能源联动算法
分级计量管控
在线监测系统
mining enterprises
equipment energy linkage algorithm
hierarchical measurement and control
on-line monitoring system