Power equipment integrated monitoring and early warning system based on big data and analysis method thereof

Abstract

The invention discloses a power equipment integrated monitoring and early warning system based on big data and an analysis method of the power equipment integrated monitoring and early warning system. The system comprises a sensor group, a monitoring unit group and a power equipment integrated diagnosis platform, wherein the sensor group comprises multiple sensors used for obtaining monitoring parameters of a coupling transformer, a power cable and a GIS; the monitoring unit group comprises monitoring units used for monitoring the monitoring parameters of the coupling transformer, the power cable and the GIS, and each monitoring unit is connected with the corresponding sensor; the power equipment integrated diagnosis platform is connected with the monitoring unit group and used for achieving storage and management of multi-target power equipment monitoring data based on an HDFS, diagnosis based on the MapReduce technology and a fault sample bank, and real-time storage of monitoring index quantity and diagnosis results based on the NoSQL database technology; through a high-speed two-way data transmission mechanism, uploading of mass data monitored by multi-target power equipment in real time to a monitoring center is achieved on one hand, and feedback and early warning of the diagnosis results are achieved on the other hand.

Description

technical field [0001] The invention relates to the technical field of online monitoring of electric power equipment, in particular to a comprehensive monitoring and early warning system for electric power equipment based on big data and an analysis method thereof. Background technique [0002] In recent years, with the increasingly severe global energy problems, countries all over the world have carried out research work on smart grids. The ultimate goal of the smart grid is to build a panoramic real-time system covering the entire production process of the power system, including power generation, power transmission, power transformation, power distribution, power consumption, and dispatching. Power equipment status monitoring and diagnosis is an important part of the smart grid. The implementation of its key technologies can prolong the service life of equipment, reduce the occurrence of sudden failures, and improve the reliability of power supply of power equipment. Ther...

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Problems solved by technology

[0003] However, due to the influence of factors such as the diversity of power equipment, the diversity of power equipment monitoring signals, and the diversity of power equipment fault evolution rules, the status monitoring of power equipment has the shortcomings of insufficient diagnosis and early warning functions, which greatly restricts Comprehensive promotion and application of power equipment condition monitoring technology

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