Fan blade damage warning and decision-making method based on unmanned aerial vehicle inspection

CN119809237APending Publication Date: 2025-04-11广西电网能源科技有限责任公司
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Patent Information

Application Number
CN202411880646.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-19
Publication Date
2025-04-11

AI Technical Summary

Technical Problem

The prior art lacks consideration of resource matching and performance advantages and disadvantages in the inspection of wind turbine blades, resulting in insufficient decision-making accuracy.

Method used

By installing a high-definition camera on the drone, obtain fan blade pictures, train the blade damage type recognition model, process the real-time image and send alarm signals. The objective function is constructed based on the matching situation and scoring situation of personnel, vehicles and tools, and the optimal maintenance decision is output.

Benefits of technology

It improves the accuracy and efficiency of fan blade damage alarms and decision-making, ensures the best matching of resource allocation and performance optimization, and provides quantitative data to support decision-making output.

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Abstract

The invention discloses a fan blade damage warning and decision-making method based on unmanned aerial vehicle inspection, relates to the technical field of data processing and decision-making, and solves the problem of insufficient decision-making accuracy caused by lack of consideration of resource matching and performance in a resource allocation decision-making process in the prior art. The method comprises the following steps: firstly, carrying a high-definition camera on an unmanned aerial vehicle to obtain a fan blade picture; training a blade damage type identification model; secondly, performing real-time image processing by using the trained image, and sending an alarm signal to the terminal when a fault is identified; and finally, constructing a target function, solving the target function to output a maintenance decision, and arranging corresponding personnel, vehicles and articles to carry out fault processing. In the decision output processing process, the matching condition of personnel, vehicles and tools and the scoring condition of the personnel are fully considered, quantitative data support is provided for decision makers, and convenience is brought to management personnel or the decision makers to output decisions.
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