A power plant fault management method and device based on a knowledge graph

By using multiple drones equipped with vibration detection devices and electromagnetic adsorption technology, combined with the operation of inspection personnel, comprehensive monitoring of power plant equipment has been achieved. This solves the problems of incomplete monitoring and poor drone stability in existing technologies, and improves the effectiveness of power plant fault management and operational stability.

CN114940263BActive Publication Date: 2026-06-16GUODIAN INNER MONGOLIA DONGSHENG THERMAL ELECTRIC CO LTD +2
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
GUODIAN INNER MONGOLIA DONGSHENG THERMAL ELECTRIC CO LTD
Filing Date
2022-06-15
Publication Date
2026-06-16

AI Technical Summary

⚠Technical Problem

Existing power plant equipment monitoring systems do not provide comprehensive monitoring of non-critical areas, and the remote control signals of drones are easily interrupted in complex power plant environments, leading to unstable monitoring and affecting the comprehensiveness of fault management and the stability of power plant operation.

⚗Method used

Multiple drones carrying vibration detection devices are used, combined with on-site operation by inspection personnel. Electromagnetic structures are used to achieve magnetic adsorption and precise docking of the drones, and a knowledge graph expert system is used for comprehensive fault management.

🎯Benefits of technology

It enables comprehensive monitoring of non-critical parts of power plant equipment, improves the comprehensiveness of fault management and the stability of power plant operation, and avoids mutual collisions and position inconsistencies during the take-off and landing of drones.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a power plant fault management method and device based on a knowledge graph, mainly comprising a unmanned aerial vehicle, a box body, an electromagnet, a magnetic induction block, an upper cover, a storage cylinder, a lifting disc, an electric clamping structure, an electric lifting structure, an intermediate bearing plate, an electric slip ring, a rotating shaft, a first servo motor, a rotating inner disc and a rolling rotating ring structure. The application avoids the problem that the unmanned aerial vehicle is difficult to use in the complex environment of the power plant, utilizes the unmanned aerial vehicle to carry a special vibration detection device to monitor the non-key parts of the power plant equipment, and further can effectively promote the power plant fault management expert system based on the knowledge graph to have more comprehensive power plant fault management capability, and better ensure the stability of the operation of the power plant.
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