Power equipment visual detection device based on partial discharge signal and detection method thereof

Abstract

The invention provides a power equipment visual detection device based on a partial discharge signal, which dynamically adjusts the position and the direction of a camera head in real time by utilizing the partial discharge signal so as to realize the optimal fault video image collection and meet the special requirement for power equipment state monitoring and equipment overhaul. The power equipment visual detection device comprises a shaft lever, a vertical lifting motor, a horizontal rotary motor, an ultraviolet sensing circuit, a camera head and a control circuit, wherein the control inputends of the vertical lifting motor and the horizontal rotary motor are electrically connected with the control output end of the control circuit; the ultraviolet sensing circuit and the camera head are fixed on a chassis, can do lifting motion along an axle tree under the drive of a vertical lifting stepping motor and do 360-degree rotary motion along the axle tree under the drive of the horizontal rotary motor. The ultraviolet sensing circuit includes four ultraviolet sensors which are uniformly and relatively fixed with the chassis along the circumference. The invention provides a rapid partial discharge positioning and detecting method of the device, and a control terminal dynamically adjusts the position and the direction of the camera head through the strength of signals detected by the ultraviolet sensing circuit, thereby realizing the optimal partial discharge fault point visual image collection and meeting the special requirements for power equipment state monitoring and equipment overhaul.

Description

technical field [0001] The invention relates to the technical field of power equipment fault monitoring, in particular to an electric power equipment endoscopic system based on partial discharge signal detection and combined with video fault image acquisition. Background technique [0002] With the development of the electric power industry, the requirements for long-term stable operation of power equipment in power plants, substations and transmission lines in the power system are getting higher and higher. In order to prevent sudden failures of power equipment, it is often necessary to regularly monitor the status of power equipment Troubleshooting. At present, the inspection and maintenance of power equipment is often based on the experience and judgment of the staff, and regular inspection and maintenance are carried out. This method often causes unnecessary waste of equipment resources, and cannot find some small faults inside the power equipment in time, and It can on...

AI Technical Summary

Problems solved by technology

At present, the inspection and maintenance of power equipment is often based on the experience and judgment of the staff, and regular inspection and maintenance are carried out. This method often causes unnecessary waste of equipment resources, and cannot find some small faults inside the power equipment in time, and It can only be discovered when a small fault evolves into a serious fault, or even when the power equipment is damaged, which causes great economic losses and reduces the operating efficiency of the power equipment. It is impossible to detect the fault of the power equipment

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