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Petroleum pipeline inspection abnormal hidden danger intelligent identification method based on unmanned aerial vehicle

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, The effect of reducing labor costs and improving continuous detection capabilities

Active Publication Date: 2021-06-18
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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  • Petroleum pipeline inspection abnormal hidden danger intelligent identification method based on unmanned aerial vehicle
  • Petroleum pipeline inspection abnormal hidden danger intelligent identification method based on unmanned aerial vehicle
  • Petroleum pipeline inspection abnormal hidden danger intelligent identification method based on unmanned aerial vehicle

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Embodiment Construction

[0074] An exemplary embodiment of the present invention will now be described in detail with reference to the drawings. It should be understood that the embodiments shown and described in the drawings are merely exemplary, intended to illustrate the principles and spirit of the invention, and is not limited to the scope of the invention.

[0075] Embodiments of the present invention provide a method of intelligent identification method based on an ultra-human petroleum pipeline patrol abnormality, such as figure 1 As shown, including the following steps S1 to S9:

[0076] S1, training to get the petroleum line hidden danger identification network model.

[0077] Step S1 includes steps S11 to S13:

[0078] S11, define an abnormal hidden danger, and based on the type, number, and realistic scale range of abnormal hidden dangers, through the drone vertical tops of real shots to obtain an exception hidden danger picture data set.

[0079] In the embodiment of the present invention, th...

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Abstract

The invention discloses a petroleum pipeline inspection abnormal hidden danger intelligent identification method based on an unmanned aerial vehicle; an unmanned aerial vehicle precise cruise technology and a target detection algorithm are combined, an intelligent petroleum pipeline inspection method is designed, and on the basis of the existing computer processing operational capability, rapid petroleum pipeline hidden danger inspection and troubleshooting are achieved. According to the invention, a large number of optimization algorithms and improvements are made for target detection under special working conditions of unmanned aerial vehicle inspection, a special target detection network model under the conditions is trained, quasi-real-time hidden danger broadcasting of petroleum pipeline inspection is achieved, blindness of manual inspection is reduced, the inspection efficiency is greatly improved, the labor cost is reduced, and practicability is achieved.

Description

Technical field [0001] The present invention belongs to the field of unmanned intelligent inspection technology, which involves a design of a smart recognition method based on an ultra-human petroleum pipeline inspection. Background technique [0002] my country's oil and gas resources distribution and population distribution do not match, and oil and gas resources in the eastern coastal region are mainly delivered in eastern region. The oil pipeline is the main transportation route of oil and gas. At present, my country's oil pipeline is rapidly building. The existing large oil pipeline is 35,000 kilometers. Experts expect my country to achieve all product oils such as gasoline, diesel, kerosene in the next 10 years. delivery. Due to the wide distribution of oil pipelines, it has brought great difficulties to the pipeline maintenance inspection to the pipeline maintenance inspection. [0003] Traditional oil line inspections use artificial walking inspections, this method is les...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/13G06V20/41G06F18/214B64U2101/30G05D1/0094G06T7/0004G06T7/73G06T2207/10032G06T2207/30184G06T2207/20081G06T2207/20084F17D5/00H04N7/185H04N23/695G05D1/101G06T7/60G06T2207/10016B64U2101/26
Inventor 李琼岳林张宇何建军
Owner CHENGDU UNIVERSITY OF TECHNOLOGY
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