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Pipeline high-consequence area dynamic identification method based on image identification

A technology of dynamic recognition and image recognition, applied in the field of pipeline management, can solve problems such as difficulty in dynamic recognition with high consequence degree

Active Publication Date: 2021-01-22
CHINA ACAD OF SAFETY SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, on the one hand, oil pipelines spread over a wide area; on the other hand, the distribution of personnel, residence distribution, and the existence of scene objects in each area that the oil pipeline passes through may change dynamically, resulting in the High-consequence-level dynamic identification of traversing regions is very difficult

Method used

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  • Pipeline high-consequence area dynamic identification method based on image identification
  • Pipeline high-consequence area dynamic identification method based on image identification
  • Pipeline high-consequence area dynamic identification method based on image identification

Examples

Experimental program
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Effect test

Embodiment 1

[0049] figure 1 It is a flow chart of the steps of the method for dynamically identifying high-consequence areas of pipelines based on image recognition according to Embodiment 1 of the present invention.

[0050] Such as figure 1 As shown, the image recognition-based dynamic identification method for pipeline high-consequence areas includes:

[0051] Obtain each satellite positioning data of each positioning marker point traversed by the oil pipeline, and each pair of each positioning marker point is equally spaced;

[0052]Using the UAV as the overhead shooting platform, perform fixed-point and fixed-altitude cruise shooting one by one along each positioning mark point traversed by the oil pipeline at a preset height, and obtain the fixed-altitude cruise image corresponding to the current positioning mark point;

[0053] Performing a clipping operation on the fixed-altitude cruise image with the viewpoint as the center and an image area in the shape of a square with a fixe...

Embodiment 2

[0065] image 3 It is a flow chart of the steps of the method for dynamically identifying high-consequence areas of pipelines based on image recognition according to Embodiment 2 of the present invention.

[0066] Such as image 3 As shown, the image recognition-based dynamic identification method for pipeline high-consequence areas also includes:

[0067] After binding each positioning marker point traversed by the oil pipeline with each corresponding high consequence level, it wirelessly uploads it to the remote pipeline management server.

[0068] For example, the pipeline management server can be selected as a cloud storage server, a big data server, and other network-side servers. The cloud storage server can be a single network node, or multiple network nodes set in parallel. The big data server can also be a single network node, or multiple network nodes of multiple parallel devices.

Embodiment 3

[0070] Figure 4 It is a flow chart of the steps of the method for dynamically identifying high-consequence areas of pipelines based on image recognition according to Embodiment 3 of the present invention.

[0071] Such as Figure 4 As shown, the image recognition-based dynamic identification method for pipeline high-consequence areas also includes:

[0072] The pipeline management server stores the binding data of each oil pipeline together with the number of the oil pipeline in the preserved pipeline database;

[0073] Wherein, the pipeline management server has a built-in database storage unit and a wireless transceiver unit, and the wireless transceiver unit is electrically connected to the database storage unit;

[0074] Wherein, a two-way wireless communication link is established between the wireless transceiver unit and the wireless communication interface of the drone.

[0075] Wherein, the database type of the database storage unit can be a Mysql database, a SqlSe...

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Abstract

The invention relates to a pipeline high-consequence area dynamic recognition method based on image recognition. The method comprises the steps that the number of human body targets in a fixed-heightcruise image obtained by shooting a current positioning mark point of an oil pipeline through an unmanned aerial vehicle is recognized to serve as a first number; based on the satellite positioning data of the current positioning mark point, floor heights corresponding to all residences around the current positioning mark point are obtained, the number of residents monotonically and positively related to each residence is determined based on the floor height corresponding to each residence, and the number of residents of all residences is accumulated to obtain a second number; the first numberis added to the second number to obtain a field reference number of people; and different high consequence levels corresponding to the current positioning mark point are determined based on the fieldreference number of people and the weight analysis result of the scene target type around the satellite positioning data of the current positioning mark point. According to the invention, dynamic identification of high consequence degree of each area through which the oil pipeline passes can be realized.

Description

technical field [0001] The invention relates to the field of pipeline management, in particular to a dynamic identification method for high-consequence areas of pipelines based on image recognition. Background technique [0002] With the construction of long-distance oil and natural gas pipelines and the rapid development of cities in various countries, the densely populated areas, concentrated residential areas, and high-consequence areas of high-risk scene target areas along the long-distance pipelines are increasing year by year. Cause serious consequences, such as casualty accidents, house destruction and environmental pollution. Once serious consequences occur, it will be difficult to recover and remedy. [0003] For example, the reasons for serious consequences caused by oil pipelines are as follows: the corrosion and thinning of the pipeline at the intersection of the oil pipeline and the drainage culvert leads to the rupture of the pipeline and the leakage of crude o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G01S19/42
CPCG01S19/42G06V20/13
Inventor 张圣柱桑海泉吴昊徐一星曹旭刘德坤张昕宇王向阳
Owner CHINA ACAD OF SAFETY SCI & TECH
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