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An intelligent identification method for abnormal hidden dangers in oil pipeline inspection based on UAV

A technology of intelligent identification and unmanned aerial vehicles, which is applied in the direction of unmanned aircraft, scene recognition, character and pattern recognition, etc., can solve the problems of manual inspection technical operation difficulties and high labor costs, and achieve rapid hidden danger inspection and troubleshooting, The effect of reducing labor costs and improving inspection efficiency

Active Publication Date: 2021-07-27
CHENGDU UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

[0006] The purpose of the present invention is to solve the problem of difficult operation and high labor cost of the existing oil pipeline manual inspection technology, and proposes an intelligent identification method for abnormal hidden dangers of oil pipeline inspection based on drones

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  • An intelligent identification method for abnormal hidden dangers in oil pipeline inspection based on UAV
  • An intelligent identification method for abnormal hidden dangers in oil pipeline inspection based on UAV
  • An intelligent identification method for abnormal hidden dangers in oil pipeline inspection based on UAV

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Embodiment Construction

[0074] Exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be understood that the implementations shown and described in the drawings are only exemplary, intended to explain the principle and spirit of the present invention, rather than limit the scope of the present invention.

[0075] The embodiment of the present invention provides a UAV-based intelligent identification method for abnormal hidden dangers in oil pipeline inspections, such as figure 1 As shown, including the following steps S1~S9:

[0076] S1. Train to obtain the oil pipeline hidden danger identification network model.

[0077] Step S1 includes the following sub-steps S11~S13:

[0078] S11. Define abnormal hidden dangers, and according to the type, number and actual scale range of abnormal hidden dangers, obtain the abnormal hidden danger picture data set through the real shooting of the vertical overlooking of the drone.

[...

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Abstract

The invention discloses an intelligent identification method for abnormal hidden dangers of oil pipeline inspections based on drones. It combines the precise cruise technology of drones with target detection algorithms to design an intelligent inspection method for oil pipelines. On the basis of computer processing and computing capabilities, a relatively fast patrol inspection of hidden dangers in oil pipelines has been realized. The present invention has made a large number of optimization algorithms and improvements for the target detection of the special working conditions of the UAV patrol inspection, trained the special target detection network model under this condition, and has the quasi-real-time hidden danger broadcast for the oil pipeline patrol inspection, which reduces the manual patrol inspection The blindness greatly improves the inspection efficiency, reduces labor costs, and is practicable.

Description

technical field [0001] The invention belongs to the technical field of UAV intelligent inspection, and in particular relates to the design of an intelligent identification method for abnormal hidden dangers of oil pipeline inspection based on UAV. Background technique [0002] The distribution of my country's oil and gas resources does not match the population distribution. Oil and gas resources in the eastern coastal areas are mainly transported by the eastern region. Petroleum pipelines are the main transportation route for petroleum and natural gas. Currently, my country's petroleum pipelines are under rapid construction. The total length of existing large-scale petroleum pipelines is 35,000 kilometers. Experts predict that in the next 10 years, my country will realize that all refined oil products such as gasoline, diesel, and kerosene will be transported through pipelines. delivery. Due to the wide distribution of oil pipelines and the complex topography along the line,...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/13G06V20/41G06F18/214B64C39/024G06T7/0004G06T7/73G06T2207/10032G06T2207/30184G06T2207/20081G06T2207/20084F17D5/00H04N7/185G05D1/0094H04N23/695B64U2101/30G05D1/101G06T7/60G06T2207/10016
Inventor 李琼岳林张宇何建军
Owner CHENGDU UNIVERSITY OF TECHNOLOGY
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