Main transformer intelligent state monitoring device and method based on multi-source data

Abstract

The invention discloses a main transformer intelligent state monitoring device and method based on multi-source data. The monitoring device comprises an edge Internet of Things agent device, and an insulation state monitoring network, a component monitoring network, a comprehensive state monitoring network and an operation condition monitoring network which are in communication connection with theedge Internet of Things agent device. Every two of the insulation state monitoring network, the component monitoring network, the comprehensive state monitoring network and the operation condition monitoring network are in linkage. The monitoring method comprises the following steps that when any one of the insulation state monitoring network, the component monitoring network, the comprehensive state monitoring network and the operation condition monitoring network monitors an abnormal signal, the monitoring network with a linkage relationship is switched from a conventional monitoring mode to an intensive care mode, and monitoring data are acquired from all the monitoring networks to perform comprehensive abnormality analysis. Comprehensive analysis of data of multiple types of online monitoring devices can be realized, and the accuracy of transformer state judgment is improved.

Description

technical field [0001] The invention relates to the technical field of operation and maintenance of power transformers, in particular to an intelligent state monitoring device and method for a main transformer based on multi-source data. Background technique [0002] As the core equipment of the system, the transformer is not only complicated to manufacture and expensive to manufacture, but its safe and stable operation is directly related to the safety and reliable power supply of the power grid. Establishing a complete transformer condition monitoring system and accurately controlling the operation status of the transformer are important guarantees for the safe and reliable operation of the transformer. At present, the transformer online monitoring technologies widely used at home and abroad mainly include dissolved gas in oil, iron core ground current, partial discharge, vibration and noise and other means. All kinds of monitoring devices operate independently, and singl...

AI Technical Summary

Problems solved by technology

All kinds of monitoring devices operate independently, and single analysis of the collected data cannot realize the comprehensive analysis of multi-source data, can not effectively realize the comprehensive and accurate grasp of the operation status of the transformer, cannot provide a reliable basis for the condition maintenance of the transformer, and still need to carry out regular power outage tests Obtaining state quantities takes up a lot of manpower and material resources

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