Intelligent non-electric quantity online monitoring device and method for mutual inductor

Abstract

The invention relates to an intelligent non-electric quantity online monitoring device and method for a mutual inductor. A hydrogen sensor, a micro-water sensor, a temperature sensor and a pressure sensor are used for carrying out real-time online monitoring on non-electric quantity data such as hydrogen, water content, oil temperature and pressure in the mutual inductor. Regular circulation of the monitored oil sample is realized through the oil circulation device, and the sampling problem of a dead oil area is solved. The device comprises a hydrogen sensor, a temperature sensor, a micro-water sensor, a pressure sensor, a sensor signal acquisition unit, a main CPU processing unit, a man-machine operation unit, a wired communication unit, a wireless communication unit, a data acquisition unit and an oil circulation device. According to the device, the monitored non-electric quantity information is comprehensively analyzed by using an artificial intelligence algorithm, the operation state monitoring and fault diagnosis analysis of the mutual inductor are realized, the monitoring data and the diagnosis result can be sent to a background system in a communication manner, and the safe and stable operation of the mutual inductor is ensured.

Description

technical field [0001] The invention relates to an intelligent non-electric power on-line monitoring device for a transformer. Real-time online monitoring of non-electrical data such as hydrogen, water content, oil temperature, and pressure inside the inverted current transformer by using hydrogen sensors, micro-water sensors, temperature sensors, and pressure sensors. The artificial intelligence algorithm is used to comprehensively analyze the monitored non-electricity information to realize the monitoring of transformer operation status and fault diagnosis and analysis, and the monitoring data and diagnosis results can be sent to the background system through communication to ensure the safe and stable operation of transformers. Background technique [0002] During the operation of primary equipment in substations, the current online monitoring devices for transformers, bushings and other oil-poor equipment mainly monitor power signals such as dielectric loss and capacitan...

AI Technical Summary

Problems solved by technology

For example, local defects inside the transformer will lead to partial discharge, generate characteristic gases such as hydrogen, and at the same time increase the internal temperature of the transformer and the internal pressure of the metal expander. Through the monitoring of related non-electrical signals, the transformer can be found in time Early failure to avoid accumulation of product problems to the limit. When a failure occurs, it can only be withdrawn from operation urgently, causing greater losses

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