Switch cabinet big data state evaluation method and system based on intelligent partial discharge live-line detection

A partial discharge and electrification detection technology, which is applied in the direction of signal transmission system, measuring electricity, measuring devices, etc., can solve the problems of switchgear operation status evaluation, high personnel requirements, heavy detection workload, etc., and achieve high risk assessment accuracy, Improved operational stability and high level of intelligence

Inactive Publication Date: 2017-05-31
GUANGXI UNIV
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Problems solved by technology

At present, the live detection of switchgear at home and abroad mainly adopts the ultrasonic method and the transient ground potential method, but according to field experience, the two detection methods are not sensitive enough for some insulation defects; the switchgear live detection lacks intelligent detection methods, which are gene

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  • Switch cabinet big data state evaluation method and system based on intelligent partial discharge live-line detection
  • Switch cabinet big data state evaluation method and system based on intelligent partial discharge live-line detection

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Embodiment Construction

[0023] Such as figure 1 As shown, the steps of the big data state evaluation method for switchgear based on intelligent partial discharge live detection in this embodiment include: inputting the operating state and maintenance information of each substation switchgear into the equipment state evaluation unit, and affixing two signs on each switchgear on site. Two-dimensional code, when using the intelligent inspection robot for general inspection, scan the two-dimensional code to obtain the switch cabinet information, upload the detected signal data of the switch cabinet to the equipment status evaluation unit through the signal transmission unit, automatically store the data according to the report template, and generate The detection report and the equipment status evaluation unit conduct comprehensive analysis and diagnosis on the abnormal detection data, analyze and identify the type and severity of partial discharge, transmit the recognition result to the mobile terminal t...

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Abstract

The invention provides a switch cabinet big data state evaluation system based on intelligent partial discharge live-line detection. The system comprises an intelligent inspection unit, a partial discharge diagnosis and positioning unit, an equipment state evaluation unit, an intelligent terminal and a control unit, wherein the equipment state evaluation unit comprises a communication unit, a signal storage unit, a characteristic signal extraction unit, a defect type identification unit and an equipment defect severity analysis unit. The system is advantaged in that the system has properties of high intelligentization level, good partial discharge detection sensitivity and high risk evaluation accuracy, and powerful technical support is provided for developing power-on maintenance of the switch cabinet.

Description

technical field [0001] The invention belongs to the technical field of electric power engineering, and in particular relates to a switch cabinet state evaluation method and system based on partial discharge live detection, which is suitable for live detection and state evaluation of 10kV and 35kV switch cabinets. Background technique [0002] 10kV and 35kV switchgears are important equipment for substations to supply power to users. The safe and stable operation of switchgears plays a very important role in the safety and reliability of power supply. The long-term operation of the switch cabinet is affected by strong electric field, thermal effect, moisture condensation, dust, etc., which will cause the insulation performance to decline or even deteriorate, and produce partial discharge. If the partial discharge cannot be detected in time, the long-term cumulative effect will cause further deterioration of the insulation. , Enlarging the defect, and finally causing insulatio...

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Application Information

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IPC IPC(8): G01R31/12G08C17/02
CPCG01R31/1209G01R31/129G08C17/02
Inventor 刘玉环
Owner GUANGXI UNIV
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