Method and system for generating multi-dimensional high-definition real-scene training model for power equipment

By collecting and analyzing a variety of data from power equipment, using BIM software to generate a three-dimensional model, and calculating the fault risk coefficient, the problem of the existing technology being unable to adaptively generate different difficulties and fault risk maintenance paths, and the adaptive generation and diversity of power equipment maintenance path training models are realized.

CN118691256BActive Publication Date: 2025-04-04THREE GORGES JINSHAJIANG CHUANYUN HYDROPOWER DEV CO LTD
4 Cites 0 Cited by

Patent Information

Application Number
CN202410761439.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-06-13
Publication Date
2025-04-04
Estimated Expiration
2044-06-13

AI Technical Summary

Technical Problem

The prior art cannot adaptively generate power equipment maintenance path training models with different training difficulties and different fault risk maintenance contents for trainees.

Method used

By collecting image data, connection relationships, historical environment data, equipment status data and operating parameter data of power equipment at multiple moments, three-dimensional modeling is used to calculate the status abnormality coefficient, operation abnormality coefficient and fault risk coefficient of the equipment, generate maintenance paths based on the fault risk coefficient, and perform model segmentation to form a power equipment maintenance path training model.

Benefits of technology

It realizes a power equipment maintenance path training model that provides trainees with adaptive maintenance contents of different difficulties and fault risk, so as to facilitate training personnel to learn in a targeted manner.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The present invention discloses a method and system for generating a multi-dimensional high-definition real-scene training model for electric power equipment, and relates to the technical field of model construction. The method includes collecting image data, connection relationships, historical environmental data of the location, historical equipment status data, and historical operating parameter data of all electric power equipment on a transmission line at multiple times; as well as real-time equipment status data and real-time operating parameter data; using BIM software to perform three-dimensional modeling on the electric power equipment to form an initial training model for the electric power equipment; calculating the state abnormality coefficient, operation abnormality coefficient, and failure risk coefficient of the electric power equipment; obtaining a maintenance path through the location and connection relationship of the electric power equipment whose failure risk coefficient is greater than the failure risk threshold, and performing model segmentation to obtain a training model for the maintenance path of the electric power equipment. Different maintenance path training models are formed by presetting different thresholds, so that the training personnel can learn maintenance contents of different difficulty levels in a targeted manner in the training model.
Need to check novelty before this filing date? Find Prior Art