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题名基于大数据的火力发电远程监督诊断的研究与应用
被引量:7
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作者
李金拓
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机构
大唐东北电力试验研究院有限公司
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出处
《仪器仪表用户》
2018年第10期66-69,共4页
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文摘
大型火电机组具有系统规模大,运行参数波动范围广的特点,且其数据呈现高度的非线性,而大数据技术的发展给火力发电的发展带来了新的契机。本文在国内外故障诊断研究的基础上,针对上述火电机组的运行特性,对火电机组故障诊断的评判标准和其诊断流程简要介绍,并在此基础上提出了一种基于大数据挖掘技术的远程监督诊断平台。基于大数据的火电机组远程诊断不仅是发挥智能化的重要举措,也是推动电力行业发展的一种手段,对于火电厂的技术改革具有推动作用。
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关键词
火电
故障
监督
诊断
大数据
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Keywords
the large-scale thermal power unit has the characteristics of large-scale system and wide fluctuation range of operating parameters, and its data is highly nonlinear. the development of big data technology has brought new opportunities for the development of thermal power generation. this paper, on the basis of fault diagnosis research both at home and abroad, based on the running characteristics of the thermal power unit, the fault diagnosis criteria for thermal power unit and its diagnosis process are briefly introduced, and based on this, advances a kind of remote monitoring diagnosis platform based on the technology of data mining. based on large data of thermal power unit remote diagnosis play intelligent is not only an important measure, is also a means to promote the development of power industry, the technology reform has driven for coal-fired power plants. thermal power
fault
supervision
diagnosis
big data
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分类号
TP391.5
[自动化与计算机技术—计算机应用技术]
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