Power transmission tower bird-related fault state identification and evaluation method based on Mask RCNN
A technology related to bird faults and transmission towers, applied in the field of image processing, can solve the problems of poor robustness, single application object of deep learning algorithm, and no detection and early warning closed-loop mechanism, etc., and achieve the effect of robust detection performance
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[0020] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0021] The present invention is based on the Mask RCNN bird-related fault state identification and evaluation method for transmission towers, which is especially suitable for the range of 110-220kV, and its flow chart is shown in figure 1 , specifically follow the steps below:
[0022] Step 1. Establish an image database, taking birds and overhead transmission lines in the natural environment as the research objects. The specific process is:
[0023] 1.1) Obtained through drone shooting, web crawling and downloading from the CUB200-2011 dataset, the examples include magpies, gray magpies, large-billed crows, bald-nosed crows, black cranes, great egrets, great hawks, common hawks, and gray hawks. Heron, Eastern white ibis, glass insulators, porcelain insulators, composite insulators, and 15 types of objects such as pecking marks and bird drop...
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