Power transmission line visual object extraction method and system based on multi-feature fusion

A technology of multi-feature fusion and power transmission lines, which is applied in neural learning methods, biological neural network models, instruments, etc., can solve the problems of low recognition accuracy and large amount of calculation of recognition methods, so as to improve generalization ability, accuracy, The effect of improving recognition accuracy

Pending Publication Date: 2022-02-11
国网河南省电力公司新郑市供电公司 +2
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Problems solved by technology

[0004] The technical problem mainly solved by the present invention is to provide a transmission line visual object extraction method and system based on multi-feature fusion, which can solve the problems of low recognition accuracy and large amount of calculation in the recognition method in the prior art

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  • Power transmission line visual object extraction method and system based on multi-feature fusion
  • Power transmission line visual object extraction method and system based on multi-feature fusion
  • Power transmission line visual object extraction method and system based on multi-feature fusion

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Embodiment Construction

[0041] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0042] figure 1 It shows a flow chart of an embodiment of the multi-feature fusion-based visual object extraction method for transmission lines of the present invention. exist figure 1 , including:

[0043] Step S1: Obtain the video information image of the insulator in real time through the onboard visual sensor, and process the obtained video information image to obtain the image to be dete...

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Abstract

The invention discloses a power transmission line visual object extraction method and system based on multi-feature fusion, and the method comprises the steps of obtaining a video information image of an insulator in real time through an airborne visual sensor, carrying out the processing of the obtained video information image, and obtaining a to-be-detected image; processing an obtained to-be-detected image and creating a training set and a test set; inputting the training set into a deep convolutional neural network, and training a deep convolutional neural network model by using a stochastic gradient descent algorithm to obtain an image recognition model; inputting the test set into the obtained image recognition model; and outputting an identification result, and carrying out background identification processing on the identification result to identify a target. According to the invention, the shielding object can be identified, and the influence of the shielding object on the identification result is solved; the final recognition precision is effectively improved; meanwhile, the deep convolutional neural network is improved, the generalization ability of an algorithm model is improved, and the detection accuracy is further improved.

Description

Technical field: [0001] The invention relates to a power inspection image recognition method, in particular to a multi-feature fusion-based visual object extraction method and system for transmission lines. Background technique: [0002] Smart grid is the trend and direction of power grid development, and smart substation is the substation link of smart grid, which is an important foundation and support for a strong smart grid. Due to the large number of high-voltage equipment in the power place of the substation and the complex environment, regular inspections are required to ensure power safety. At present, most substations still use manual inspections. With the continuous development of robot technology, more and more substations have begun to use inspections. Robot inspection and automation technology replace traditional manual work, which can reduce labor costs. [0003] The use of drones for inspections of transmission lines, although information collection is conveni...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V10/44G06V10/26G06V10/82G06N3/04G06N3/08
CPCG06N3/08G06N3/045
Inventor 夏梦柯高峰岳广记岳鹏李乐李雪丁恒张龙孟瑞娜
Owner 国网河南省电力公司新郑市供电公司
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