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某建材矿能源在线监测系统优化研究及应用

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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.
Optimization Research and Application of On-line Energy Monitoring System in Mining Enterprises
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 hier-archical 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 infor-mation 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 en-ergy linkage algorithm,which can improve the utilization efficiency of mine energy resources,reduce ener-gy consumption and avoid environmental pollution.

mining enterprisesequipment energy linkage algorithmhierarchical measurement and controlon-line monitoring system

李俊、张韵、陈广文

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安徽马钢矿业资源集团桃冲矿业有限公司

中钢集团马鞍山矿山研究总院股份有限公司

矿山企业 设备能源联动算法 分级计量管控 在线监测系统

2024

现代矿业
中钢集团马鞍山矿山研究院有限公司

现代矿业

影响因子:0.33
ISSN:1674-6082
年,卷(期):2024.40(11)