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电厂检修现场智能化管控研究

Research on Intelligent Management and Control of Electric Power Plant Maintenance Site
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摘要 随着科学技术的不断进步,物联网、人工智能以及大数据技术在各个领域开始被广泛应用[1]。在电厂检修现场的安全监测中综合应用物联网(UWB超宽带精确定位)、人工智能(人脸识别、视频智能分析)、大数据挖掘分析等技术手段,实现检修安全风险智能分析、预警、处理,可以极大地提高现场安全管理水平。本文主要分析了多种新技术融合在电厂检修现场安全管控中的应用,并提出针对性的应用措施,以便对现场安全管控应用起到参考作用。 With the continuous progress of science and technology,the Internet of Things,artificial intelligence and big data technology have been widely used in various fields[1].In the safety monitoring of the electric power plant maintenance site,the Internet of Things(UWB ultra-wideband precise positioning),artificial intelligence(face recognition,video intelligent analysis),big data mining and analysis and other technical means are comprehensively applied to realize the intelligent analysis,early warning and treatment of maintenance safety risks,which can greatly improve the level of on-site safety management.This paper mainly analyzes the application of a variety of new technologies in the safety management and control of electric power plant maintenance site,and puts forward targeted application measures in order to play a reference role in the application of on-site safety management and control.
作者 明华 Ming Hua(Chongqing Keyuan Energy Technology Development Co.,Ltd.,Chongqing 400041,China)
出处 《科学与信息化》 2022年第21期134-136,140,共4页 Technology and Information
关键词 物联网 大数据 数据交互 智能化 安全管控 Internet of Things big data data interaction intelligent safety management and control
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