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Intelligent identification and early warning method of abnormal events in the open scene of electric power field based on edge computing

An edge computing and abnormal event technology, applied in the field of intelligent identification of power abnormal events, can solve the problems of high noise and easy exposure of the picture, saving time, improving generalization ability, and improving accuracy.

Active Publication Date: 2020-02-07
SHANDONG UNIV +2
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Problems solved by technology

[0005] Chinese patent document CN109165575A aims at the problems of high-speed rail surveillance video with complex background, high noise, and easy exposure of the picture, and studies a firework recognition algorithm based on image deep learning SSD framework, in which the detection model training network is the reconstructed VGG16 network. The detection model training network adds 6 convolutional layers and 1 pooling layer on the basis of VGG16

Method used

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  • Intelligent identification and early warning method of abnormal events in the open scene of electric power field based on edge computing
  • Intelligent identification and early warning method of abnormal events in the open scene of electric power field based on edge computing
  • Intelligent identification and early warning method of abnormal events in the open scene of electric power field based on edge computing

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Embodiment

[0065] An intelligent identification and early warning method for abnormal events in an open scene in the electric power field based on edge computing, characterized in that it includes the following steps:

[0066] S1: Perform image enhancement processing on the training data in different scenarios, use the labeling tool to label the training data, and obtain the .xml file; here labeling refers to artificially determining the target to be detected in the picture for each training picture (such as Cranes, construction machinery, tower cranes, etc.), and then use the labeling tool to frame these targets one by one with a rectangular frame, and set an attribute value for each rectangular frame, indicating which type of object the rectangular frame belongs to. category. Thus, when training the model in the subsequent S4 step, the model can identify which position in which picture has the target of which category, and train the model according to this principle;

[0067] S2: Use ...

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Abstract

An intelligent identification and early warning method for abnormal events in the open scene of the electric power field based on edge computing. This invention compresses the improved SSD target detection model and transplants it to the mobile terminal to give full play to the advantages of edge computing. Through experiments, this invention converts the Android end as an optimal solution; the present invention fuses the Conv4_x feature layer and the Conv5_x feature layer in the VGG16 network, and then directly acts on the feature layer after fusion to the final prediction layer, so as to improve the accuracy of small target detection; at the same time , the present invention summarizes a variety of basic weather conditions: sunny, cloudy, rainy, foggy, etc., and uses image enhancement technology to increase training data in different scenarios, thereby improving the generalization ability of the model.

Description

technical field [0001] The invention discloses an intelligent identification and early warning method for abnormal events in an open scene in the electric power field based on edge computing, and belongs to the technical field of intelligent identification of electric abnormal events. Background technique [0002] With the continuous development and construction of power engineering, the scale of the transmission network is getting larger and more equipment, and the inspection workload for transmission equipment and lines is also increasing. In addition, in some relatively remote areas, such as mountainous areas and snow fields, it is difficult for relevant staff to reach, which further increases the difficulty of inspection work. At the same time, the level of power grid management continues to improve, and the operation and maintenance units are also constantly exploring the operation and management methods of transmission lines. At present, the mainstream solutions for t...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06V20/41G06V20/44G06V20/52G06N3/045
Inventor 聂礼强宋雪萌孙腾许克姚一杨宿仕华
Owner SHANDONG UNIV
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