基于Storm与PLC技术融合的煤矿自动化排水系统
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摘要
针对目前国内煤矿井下排水系统自动化程度低、不能对采集的大量动态数据进行实时的分析和储存、可靠性及应急性差等问题,设计一套基于Storm大数据实时处理平台与PLC水泵控制技术融合的煤矿自动化排水系统。该系统首先借助Storm能够实时、高效处理无界持续流数据的优势,对收集的煤矿排水系统数据进行快速分析,并结合BP神经网络模型对煤矿涌水量的预测结果来输出排水方案,然后将排水方案通过工业以太网传输至井下的PLC系统来控制水泵的启停,实现了煤矿排水系统的数据智能化分析与水泵的自动化控制,减小了工人的劳动强度,提高了系统的可靠性与应急性,为煤矿排水系统的数字化发展提供一定的理论指导与参考。
Aiming at the problems of low automation degree of underground drainage system in domestic coal mine, which is unable to conduct real-time analysis and storage of large amount of dynamic data collected, reliability and emergency poor, etc., an automatic drainage system of coal mine based on Storm big data real-time processing platform and PLC water pump control technology was designed. First with the help of Storm advantages to deal with the unbounded continuous streaming data in real time and high efficiency,the system rapidly analyses the coal mine drainage system data gathered, and output drainage scheme combined with BP neural network model of coal mine water inflow forecast results,then put the drainage scheme through industrial ethernet transmission to the PLC system to control the pump start and stop, implement the coal mine drainage system intelligent data analysis and pump automatic control, reduce labor intensity, improve the reliability and the emergency of the system,provide certain theoretical guidance and reference to the digital development of coal mine drainage system.
Aiming at the problems of low automation degree of underground drainage system in domestic coal mine, which is unable to conduct real-time analysis and storage of large amount of dynamic data collected, reliability and emergency poor, etc., an automatic drainage system of coal mine based on Storm big data real-time processing platform and PLC water pump control technology was designed. First with the help of Storm advantages to deal with the unbounded continuous streaming data in real time and high efficiency,the system rapidly analyses the coal mine drainage system data gathered, and output drainage scheme combined with BP neural network model of coal mine water inflow forecast results,then put the drainage scheme through industrial ethernet transmission to the PLC system to control the pump start and stop, implement the coal mine drainage system intelligent data analysis and pump automatic control, reduce labor intensity, improve the reliability and the emergency of the system,provide certain theoretical guidance and reference to the digital development of coal mine drainage system.
引文
[1]陆奎,李虎,汪洋.基于PLC的矿井排水控制系统设计[J].煤矿机械,2015,36(7):302-303.
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[3]祝锡永,庞培培.大数据流式计算系统综述[J].成组技术与生产现代化,2016,33(4):49-54.
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[5]张江立. PLC技术的简介[J].电子制作,2013(10):238.
[6]曾文静. Storm在电力大数据分析平台中的研究与应用[D].北京:华北电力大学(北京),2016.
[7]徐高强.山西省煤矿区矿井水涌水量预测模型研究[D].太原:太原理工大学,2008.
[8]于治福,李旭鸣,商德勇,等.基于PLC的煤矿主排水泵自动控制系统设计[J].煤矿机械,2010,31(1):24-26.
[9]付磊.煤矿井下排水控制系统设计与优化[D].徐州:中国矿业大学,2014.
[10]刘红英.煤矿主排水系统自动化控制研究[J].煤矿机械,2018,39(4):27-28.
[2]袁佩丽.基于LabVIEW的矿井水文监控系统研究[D].长沙:中南大学,2012.
[3]祝锡永,庞培培.大数据流式计算系统综述[J].成组技术与生产现代化,2016,33(4):49-54.
[4]李川,鄂海红,宋美娜.基于Storm的实时计算框架的研究与应用[J].软件,2014,35(10):16-20.
[5]张江立. PLC技术的简介[J].电子制作,2013(10):238.
[6]曾文静. Storm在电力大数据分析平台中的研究与应用[D].北京:华北电力大学(北京),2016.
[7]徐高强.山西省煤矿区矿井水涌水量预测模型研究[D].太原:太原理工大学,2008.
[8]于治福,李旭鸣,商德勇,等.基于PLC的煤矿主排水泵自动控制系统设计[J].煤矿机械,2010,31(1):24-26.
[9]付磊.煤矿井下排水控制系统设计与优化[D].徐州:中国矿业大学,2014.
[10]刘红英.煤矿主排水系统自动化控制研究[J].煤矿机械,2018,39(4):27-28.