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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

Pending Publication Date: 2021-12-24
BEIJING UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Nowadays, UAVs are used by different oil and gas pipeline companies in various inspection occasions and emergency situations, but there are still many shortcomings in the management of UAV inspection work, and the existing UAV pipeline inspection system is still immature. The UAV pipeline supervision software system is still not perfect, and many aspects such as UAV flight management, data access and data management need to be improved. A mature UAV inspection and supervision management structure can allow UAVs to Play the biggest role in pipeline inspection

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  • Oil and gas pipeline abnormal condition inspection system based on deep learning
  • Oil and gas pipeline abnormal condition inspection system based on deep learning
  • Oil and gas pipeline abnormal condition inspection system based on deep learning

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Embodiment Construction

[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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Abstract

The invention discloses an oil and gas pipeline abnormal condition inspection system based on deep learning. The system is composed of an unmanned aerial vehicle data acquisition end, a cloud platform, a server and an oil and gas pipeline abnormal condition inspection platform client. The unmanned aerial vehicle data acquisition end acquires video data and POS data of unmanned aerial vehicle inspection, the video data and the POS data are transmitted to the cloud platform through a 4G network, the cloud platform processes the data and then forwards the data to the server, and finally the data are displayed on the client. According to the system, the Internet of Things technology and the WebGIS technology are used, so that the inspection track of the unmanned aerial vehicle is displayed on a webpage in real time, and the real-time supervision on the inspection of the unmanned aerial vehicle is realized; videos shot by the unmanned aerial vehicle in inspection are transmitted to the client in real time by using a video live broadcast technology, so that the inspection personnel can conveniently monitor the pipeline condition in real time; the inspection video is identified by using a target detection technology, abnormal conditions around the pipeline are found in time, and the inspection accuracy is improved. The system is an intelligent and comprehensive unmanned aerial vehicle inspection management system, and has important significance and value for pipeline supervision.

Description

technical field [0001] The invention relates to a deep learning-based inspection system for abnormal conditions of oil and gas pipelines, and relates to Internet of Things technology, live video server technology, deep learning target detection technology, WebGIS technology and other related fields. Background technique [0002] In recent years, my country's oil and gas pipeline construction has developed rapidly, and the scale of oil and gas network management has continued to expand. At present, a pipeline network layout of "three vertical and four horizontal, connecting overseas and covering the whole country" has been formed. As the main tool for transporting oil and natural gas, oil and gas pipelines have greatly promoted the quality of life of the people and the development of the country's economy. However, many factors, such as internal corrosion, natural disasters, and man-made sabotage, are threatening the safety of the pipeline. Once the oil and gas pipeline is br...

Claims

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Application Information

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IPC IPC(8): H04N7/18
CPCH04N7/183
Inventor 赵德群王丹
Owner BEIJING UNIV OF TECH