Oil and gas pipeline abnormal condition inspection system based on deep learning
A technology for oil and gas pipelines and abnormal conditions, applied in the field of deep learning target detection technology, can solve problems such as imperfect and immature UAV pipeline supervision software systems, and achieve the goal of improving the speed and quality of inspections and improving accuracy. Effect
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[0025] The present invention will be further described below in conjunction with accompanying drawings and implementation.
[0026] This system is mainly composed of UAV data collection terminal, cloud platform, server, and front-end of oil and gas pipeline inspection platform for abnormal conditions. The UAV data acquisition terminal collects the inspection video data and POS data of the UAV, and transmits them to the cloud platform through the 4G network. The cloud platform processes the data and forwards it to the server, and finally displays it on the front end of the oil and gas pipeline abnormal situation inspection platform . The oil and gas pipeline inspection platform for abnormal conditions has realized a number of functions. Users can open the browser to use the platform to comprehensively manage the drone inspection work.
[0027] 1. UAV data collection terminal
[0028] The drone data acquisition terminal collects the data in the drone inspection, and the data i...
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