Overhead line system fault recognition system and method based on image processing
A technology for fault identification and image processing, applied in the field of catenary identification, which can solve problems such as major safety risks, low efficiency, and interference with the normal operation of railways
Pending Publication Date: 2021-11-16
前景智能交通科技苏州有限公司
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Problems solved by technology
[0004] In the face of such a large mileage, the traditional manual inspection method is very inefficient, and it will also interfere with the normal operation of the railway and pose a very large safety risk
Method used
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[0027] See attached Figure 1-6As shown, a catenary fault identification method based on image processing includes the following steps:
[0028] Step 1. An image acquisition device is installed on the locomotive, and the image acquisition device takes pictures when passing through the catenary position. The image acquisition device is a camera, the camera is installed at an angle of 45 degrees upward, and the lens of the camera faces the catenary. According to the running speed of the train and the position and distance of the catenary, the frame rate of the selected camera is 60fps, the focal length is 4mm, and the FOV is 90 degrees.
[0029] Step 2. The image acquisition device collects the catenary image data, GPS data and corresponding time series table, and transmits the collected image data, GPS data and corresponding time series table to the defect analysis platform.
[0030] Step 3. The defect analysis platform performs denoising, enhancement, segmentation and cluste...
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The invention discloses an overhead line system fault recognition system based on image processing. The system comprises a defect analysis platform, and a data collection device and a maintenance platform which are in communication connection with the defect analysis platform, wherein the data collection device is used for collecting image information of an overhead line system and uploading the image information to the defect analysis platform; the defect analysis platform comprises an algorithm analysis module and a defect database in communication connection with the algorithm analysis module; the algorithm analysis module is used for extracting the feature of a set analysis component from the image information, and comparing the feature of the set analysis component with that in the defect database; and when any analysis component is abnormal, the defect analysis platform generate position information in combination with the GPS data and a corresponding time sequence table, generates a defect report according to the position information and the abnormal information, and uploads the defect report to the maintenance platform. The invention further discloses a recognition method based on the system. The defects are automatically recognized and marked, the defect searching and positioning efficiency and accuracy can be effectively improved, and the labor intensity of workers is remarkably reduced.
Description
technical field [0001] The invention relates to the technical field of catenary identification technology, in particular to an image processing-based catenary fault identification system and identification method. Background technique [0002] Railway freight transportation is one of the main modes of modern transportation, and it is also one of the two basic transportation methods that constitute land freight transportation. It occupies an important position in the entire transportation field and is playing an increasingly important role. Because railway transportation is less affected by climate and natural conditions, and has a large transportation capacity and single-vehicle loading, it has an advantage in the regularity and low cost of transportation. In addition, there are many types of vehicles, so that it can carry almost any commodity, and it can be almost not limited by weight and volume, which are unmatched by road and air transportation. [0003] The catenary i...
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Patent Timeline
Login to View More IPC IPC(8): G06K9/00G06K9/46G06K9/62G01R31/00G01R31/08G01R31/12G01S19/42
CPCG01S19/42G01R31/00G01R31/088G01R31/1272G06F18/251G06F18/2411
Inventor 高振海
Owner 前景智能交通科技苏州有限公司