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物联网与大数据技术在高压变电站预测性维护中的应用研究

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随着物联网(IoT)和大数据分析技术的快速发展,其在高压变电站预测性维护中的应用日益广泛.本文通过深入探讨物联网与大数据分析技术在高压变电站预测性维护中的整合方法和实际应用,揭示了这两大技术对提高电网稳定性、减少故障率以及降低维护成本的重要性.文章介绍了物联网在数据采集、传输及处理中的关键作用,进而分析了大数据分析如何通过对海量数据的挖掘为预测性维护提供决策支持.通过案例研究展示了物联网与大数据分析在高压变电站预测性维护中的具体应用及其成效.
Research on the Integration of Internet of Things and Big Data Analysis in Predictive Maintenance of High-voltage Substations
With the rapid development of the Internet of Things(IoT)and big data analytics technologies,their application in predictive maintenance for high-voltage substations has become increasingly widespread.This article delves into the integration methods and practical applications of IoT and big data analytics in predictive maintenance for high-voltage substations,highlighting the importance of these two technologies in improving grid stability,reducing failure rates,and lowering maintenance costs.The article introduces the crucial role of IoT in data collection,transmission,and processing,and further analyzes how big data analytics provides decision support for predictive maintenance through mining vast amounts of data.Case studies are presented to demonstrate the specific applications and effectiveness of IoT and big data analytics in predictive maintenance for high-voltage substations.

Internet of Thingsbig data analyticshigh-voltage substationpredictive maintenance

朱泉缙

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国网丽水供电公司,浙江丽水 323000

物联网 大数据分析 高压变电站 预测性维护

2024

仪器仪表用户
天津仪表集团有限公司,中国仪器仪表学会节能技术应用分会

仪器仪表用户

影响因子:0.255
ISSN:1671-1041
年,卷(期):2024.31(9)