煤矿取用水智慧水务管理系统建设实践
Practice on Construction of Intelligent Water Affairs Management System for Coal Mine Water Intake
贾一飞 1张翔宇 1李恩宽 1李强坤 1白乐1
作者信息
- 1. 黄河水利科学研究院,河南 郑州 450003
- 折叠
摘要
为提高煤矿的取用水效率,建立了煤矿取用水智慧水务管理系统,该系统采用 MLP 神经网络模型,通过深度学习不同煤矿各用水环节的用水指标,并与相关用水定额进行综合对比,确定适合于系统应用煤矿各环节的合理用水区间,通过实时计算分析用水数据,及时预报预警不合理的用水环节,并将该系统应用于内蒙古鄂尔多斯市某煤矿中.结果表明,系统应用后该煤矿年取水量由 117.75×104 m3 降至 86.87×104 m3,节水率达到 26.23%,节水效果明显.可为后续煤矿类智慧水务管理系统的建设提供参考.
Abstract
In order to improve the efficiency of water intake in coal mines,a intelligent water management system for coal mine water intake has been established.The system uses an MLP neural network model to deeply learn the water consumption indicators of different coal mine water consumption stages,and compares them with relevant water con-sumption quotas to determine a reasonable water consumption range suitable for the application of the system in various coal mine stages.Through real-time calculation and analysis of water use data,timely prediction and warning of unrea-sonable water use links are carried out.The system is applied to a coal mine in Ordos City.The results show that the an-nual water intake decreased from 1.1775 million m3 to 868700 m3,with a water saving rate of 26.23%,and the water saving effect is obvious.This system can provide reference for the construction of the follow-up intelligent water affairs system of coal mines.
关键词
煤矿/智慧水务/信息化/水资源管理/系统设计Key words
coal mine/intelligent water affairs/informatization/water resources management/system design引用本文复制引用
出版年
2024
NETL
NSTL
万方数据