Research on Unmanned Aerial Vehicle Intelligent Inspection System Based on Multi Algorithm Fusion

Traditional manual inspection requires a large amount of manpower and time investment, with low efficiency. In adverse weather conditions such as high temperature, low temperature, strong wind, or rainy and snowy weather, personnel safety risks are high, and problems such as inadequate inspection, missed inspections, and false inspections are prone to occur. This article proposes a multi algorithm fusion based unmanned aerial vehicle intelligent inspection system. Starting from the overall architecture of the system, multiple algorithms such as positioning navigation, image stabilization, path planning and image splicing are used for integration to achieve in-depth application of six scenarios, including downhole operation, engineering construction and pipeline patrol. The efficiency of alarm disposal is up to 96.7%, the risk of centralized patrol safety is reduced by 60%, and the time of patrol disposal is reduced by 85%. The reform of the “three centralized” three-dimensional “big monitoring” mode of “centralized monitoring+centralized patrol+centralized scheduling” is accelerated, which has certain theoretical research and practical significance for the follow-up application of UAV (Unmanned Aerial Vehicle) technology in multiple scenarios in the oilfield.