The invention relates to a distribution network unmanned aerial vehicle inspection video acquisition and identification system, which is characterized in that a control module and a video receiving module are matched, intelligent scheduling and monitoring, remote control and high-definition video real-time transmission in an unmanned aerial vehicle inspection process are completed through '5G + edge calculation ', and the time delay of a 1080p high-definition video returned by an unmanned aerial vehicle can be kept within 300 ms; the preprocessing module can be used for carrying out weighted averaging gray processing and filtering noise reduction processing on a video image file, and the screening module can be used for carrying out comparative analysis on a plurality of similar images of the same power supply equipment; an initial model can be constructed by utilizing the modeling component, and the initial model is trained, so that a hidden danger recognition model is generated, the hidden danger recognition model can be packaged and deployed into a recognition server according to an actual application scene by utilizing the deployment module, and storage backup of image data can be performed by utilizing the storage module; the method has the advantages of intelligent analysis and identification, accuracy and high efficiency.
本发明涉及一种配网无人机巡检视频采集识别系统,其中利用控制模块和视频接收模块的配合,并通过“5G+边缘计算”完成无人机巡检过程中智能化调度和监控、远程控制、高清视频实时传输,可实现无人机回传的1080p高清视频时延保持在300 ms以内,利用预处理模块可对视频图像文件进行加权平均化灰度处理和滤波降噪处理,利用筛选模块可对同一供电设备类似的多张图像进行对比分析;利用建模组件可构建初始模型,并对初始模型进行训练,从而生成隐患识别模型,利用部署模块可将隐患识别模型根据实际应用场景打包部署至识别服务器内部,利用存储模块可进行图像数据的存储备份;本发明具有可进行智能分析识别且精准高效的优点。
Distribution network unmanned aerial vehicle inspection video acquisition and identification system
一种配网无人机巡检视频采集识别系统
2025-03-11
Patent
Electronic Resource
Chinese
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