Power equipment defect management system based on AHP and remote support

Abstract

The invention provides a power equipment defect management system based on AHP and remote support. The system comprises an onsite data collection system, an integrated data management platform and a fault defect analysis and diagnosis system, and the onsite data collection system is used for collecting onsite operation information, and transmitting the onsite operation information to the integrated data management platform; the integrated data management platform is used for realizing storage and management of comprehensive data, performing analysis and hierarchical evaluation on equipment index data and confirming data credibility, and the comprehensive data comprises substation equipment basic parameters, operation information, historical defect data, historical diagnosis cases, expert information, periodical articles and a standard database; and the fault defect analysis and diagnosis system performs real-time data interaction with the integrated data management platform and is usedfor realizing user remote real-time communication, data query and fault analysis and diagnosis. Expert resources can be fully utilized, the equipment fault defect diagnosis efficiency and accuracy are effectively improved, and the system is of great significance in guaranteeing safe and stable operation of power grid equipment.

Description

technical field [0001] The invention relates to the technical field of grid operation, in particular to an AHP and remote support-based power equipment defect management system. Background technique [0002] At present, most operation and maintenance personnel in substations lack professional live detection and fault analysis capabilities, and it is difficult to find potential defects based on detected signals, or they are affected by the experience and technical level of inspection personnel, resulting in missed detection. At the same time, the existing detection instruments cannot perform centralized data management, historical data accumulation, in-depth analysis, etc., which restricts the development of live detection technology. With the advancement of the integration of substation operation and maintenance, it is difficult for operation and maintenance personnel to effectively find potential defects of equipment due to lack of testing experience, technology and analysi...

AI Technical Summary

Problems solved by technology

[0002] At present, most operation and maintenance personnel in substations lack professional live detection and fault analysis capabilities, and it is difficult to find latent defects based on detected signals, or are affected by the experience and technical level of inspection personnel, resulting in missed detection.

At the same time, the existing detection instruments cannot perform centralized data management, historical data accumulation, in-depth analysis, etc., which restricts the development of live detection technology

With the advancement of the integration of substation operation and maintenance, it is difficult for operation and maintenance personnel to effectively find potential defects of equipment due to lack of testing experience, technology and analysis capabilities; when power grid equipment fails or fails, experts are often located all over the country and cannot arrive in time On-site, but it is difficult to accurately judge the cause of the fault and quickly carry out fault disposal work only by on-site personnel, which will affect the safe operation of the power grid and the reliability of power supply

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