A transmission line defect detection method, system, equipment and medium
A defect detection and transmission line technology, applied in the field of image recognition, can solve the problems of transmission line defects, unfavorable detection algorithm application, small area, etc.
Active Publication Date: 2021-08-13
GUANGZHOU YUNCONG ARTIFICIAL INTELLIGENCE TECH CO LTD
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However, since the actual size of such small-sized devices is much smaller than that of other devices on the transmission line, the area occupied by the target in the power line inspection image is also very small compared to other defective devices, which is very unfavorable for the application of detection algorithms
In addition, not all missing small-sized devices are critical power line defects, and generally only missing small-sized devices at the junction of key components need to be focused
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[0057] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, in the case of no conflict, the following embodiments and features in the embodiments can be combined with each other.
[0058] It should be noted that the diagrams provided in the following embodiments are only schematically illustrating the basic ideas of the present invention, and only the components related to the present invention are shown in the diagrams rather than the number, shape and shape of the compo...
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The invention provides a transmission line defect detection method, system, equipment and medium, by acquiring a transmission line inspection image; using a first-level defect detection model to detect the target area containing the target device in the transmission line inspection image, and detecting the power transmission line Defect detection is performed on other devices to be detected except the target device in the inspection image, and the first-level defect detection results are obtained; the second-level defect detection model is used to detect defects on the target devices in the target area, and the second-level defect detection results are obtained; The position of the defective target device in the target area in the first-level defect detection result is transformed into the position relative to the inspection image of the transmission line; The positions of the inspection images are combined and output to complete the defect detection of the transmission line. The invention can carry out defect detection on transmission lines, and improves the detection accuracy and recall rate of small-sized defect devices in transmission lines.
Description
technical field [0001] The invention relates to the technical field of image recognition, in particular to a method, system, equipment and medium for detecting defects of high-voltage transmission lines based on a cascade detection model. Background technique [0002] In the scenario of automatic inspection of high-voltage transmission lines, it is necessary to detect various defects on the transmission lines through automatic detection methods. Among them, the lack of small-sized devices at the junction of some key components is a relatively critical defect, which requires key inspections. However, since the actual size of such small-sized devices is much smaller than that of other devices on the transmission line, the area occupied by the target in the power line inspection image is also very small compared to other defective devices, which is very unfavorable for the application of detection algorithms . In addition, not all missing small-sized devices are critical powe...
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IPC IPC(8): G01N21/88
CPCG01N21/88G01N21/8851G01N2021/8854
Inventor 姚志强周曦钟南昌周依梦雷智麟
Owner GUANGZHOU YUNCONG ARTIFICIAL INTELLIGENCE TECH CO LTD