Intelligent identification and early warning method for abnormal events in open scene in power field based on edge calculation

An edge computing and abnormal event technology, applied in the field of intelligent identification of power abnormal events, can solve the problems of easy exposure of the screen and excessive noise, and achieve the effects of improving generalization ability, saving time, and concise detection results

Active Publication Date: 2019-08-02
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 o

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  • Intelligent identification and early warning method for abnormal events in open scene in power field based on edge calculation
  • Intelligent identification and early warning method for abnormal events in open scene in power field based on edge calculation
  • Intelligent identification and early warning method for abnormal events in open scene in power field based on edge calculation

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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 an open scene in the power field based on edge calculation compresses and transplants an improved SSD target detection model to a mobile terminal, gives full play to the advantages of the edge calculation, and takes an Android terminal as an optimal scheme through experiments. According to the method, the Conv4 _ x feature layer and the Conv5 _ x feature layer in the VGG16 network are fused, and then the fused feature layer directly acts on the final prediction layer, so that the accuracy of small target detection isimproved; meanwhile, various basic weather conditions such as sunny days, cloudy days, rainy days and foggy days are summarized, and the image enhancement technology is used for increasing training data under different scenes, so that the generalization ability of the model is improved.

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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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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