Design and Application of Intelligent Inspection Robots for Substations Based on Machine Vision
In response to the issues of high workload and numerous safety hazards in power substation inspection work,this paper designs an intelligent inspection robot system based on machine vision.Firstly,the system introduces a multi-scale convolutional neural network based on attention mechanisms for defect detection,achieving high precision in the localization and classification of power substation equipment defects.Additionally,this paper designs a lightweight image enhancement algorithm that effectively improves the robustness of visual perception in adverse environments.Experiments demonstrate that the machine vision method can significantly enhance the automation and intelligence level of power substation inspections.
万方数据
维普
