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Method and system for monitoring abnormal targets based on patrol images of unmanned aerial vehicles

An abnormal target and monitoring system technology, applied in the field of automatic inspection of drones, can solve problems such as limited actual value, waste of data resources, and decreased judgment accuracy of staff

Pending Publication Date: 2019-01-01
国家管网集团(福建)应急维修有限责任公司
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Problems solved by technology

[0004] At present, the aerial image data of oil and gas pipeline patrols acquired by drones mainly rely on manpower for analysis and processing. This processing method has the problems of slow processing speed and serious decline in the judgment accuracy of the staff after long-term operations, and the manual processing method is time-consuming. The utilization rate of sequence information is low, resulting in a serious waste of data resources
Based on the above reasons, the actual value produced by this processing method is limited, and it also limits the application and promotion of aircraft in the inspection of oil and gas pipelines

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  • Method and system for monitoring abnormal targets based on patrol images of unmanned aerial vehicles
  • Method and system for monitoring abnormal targets based on patrol images of unmanned aerial vehicles

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Embodiment Construction

[0063] The embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be noted that the embodiments described in the accompanying drawings are only exemplary, and are only used to explain the present invention, and should not be construed as limiting the present invention. The method and system for supervising abnormal targets based on drone inspection images according to the embodiments of the present invention will be described below with reference to the accompanying drawings.

[0064] see Figure 1 to Figure 3 As shown, on the one hand, the present invention is a method for supervising abnormal targets based on drone inspection images, including:

[0065] Step 101, the UAV performs image acquisition according to the geographical coordinates of the pipeline and the preset inspection route; specifically includes the following steps:

[0066] Step 1011, planning the inspection route of the UAV based on the ...

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Abstract

The invention relates to an abnormal target monitoring method and system based on patrol image of an unmanned aerial vehicle. Mosaic the collected images to obtain mosaic images; Anomaly target detection is carried out in the preset image alert range, and image intelligent recognition is carried out on the collected image based on the detected anomaly target to obtain the anomaly target category;Marking the location of the abnormal object on the mosaic image for the staff to determine the final abnormal object and category; The feature and location information of the final abnormal target areinput into the database, and the processing state of the final abnormal target is updated to the database. Output statistics report on demand. The invention improves the working efficiency of pipeline patrol inspection and realizes good detection effect on abnormal targets.

Description

technical field [0001] The invention relates to the technical field of UAV automatic inspection, in particular to a method and system for supervising abnormal targets based on UAV inspection images. Background technique [0002] As the country's demand for energy gradually increases, the safety and smoothness of oil and gas pipelines as energy arteries are particularly important. Oil and gas pipelines are mostly arranged in non-intensive human activity areas, and their complex topography and weather changes make the cost of manual inspection operations high and the efficiency cannot meet the requirements. [0003] With the continuous advancement of UAV technology and the wide application of machine vision algorithms, it is possible to use these two technologies to obtain topographic information around oil and gas pipelines and to complete inspections of oil and gas pipelines. Many companies have carried out pilot implementation of this technology. The results of these proje...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/52G06F18/24
Inventor 彭家立王建国陈永忠徐洪涛杜怀林卓海森王萍郑煊伟黄银辉钟良
Owner 国家管网集团(福建)应急维修有限责任公司
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