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Dressing safety detection method for worker on working site of electric power facility

A technology for job sites and power facilities, which is applied in the field of detection and can solve problems such as high dangers and potential safety hazards of power system facilities

Active Publication Date: 2014-04-23
STATE GRID CORP OF CHINA +6
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In the maintenance process of power facilities, because the staff need to directly contact the power facilities, once the staff do not dress safely as required, a large number of potential safety hazards will be generated in the process
At the same time, due to the high risk of power system facilities, once a safety accident occurs, it will usually cause irreversible and serious consequences

Method used

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  • Dressing safety detection method for worker on working site of electric power facility
  • Dressing safety detection method for worker on working site of electric power facility
  • Dressing safety detection method for worker on working site of electric power facility

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Embodiment Construction

[0047] A method for detecting the clothing safety of personnel at a power facility operation site, comprising the following steps:

[0048] 1) Positive and negative sample preparation steps;

[0049] The positive sample is a picture containing various forms and clothing of the personnel on the job site, and the pixel size of the picture is uniform. The negative sample is any picture except the positive sample, and the size is the same as the positive sample; Negative sample images are mainly background images in job site scenes, such as roads, lawns, buildings, power facilities, etc.

[0050] 2) HOG feature extraction steps, such as Figure 1-3 As shown, it specifically includes the following sub-steps:

[0051] Step 101, Gaussian smoothing is performed on all input positive and negative sample images to remove noise;

[0052] Step 102: Use the [-1,0,1] gradient operator to perform convolution to obtain the gradient component in the x direction, and then use the [1,0,-1]T g...

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Abstract

The invention discloses a dressing safety detection method for a worker on a working site of an electric power facility. An SVM (support vector machine) classifier is trained based on HOG (histogram of oriented gradients) characteristics to identify the worker on the working site of the electric power facility and judge whether the worker is neatly dressed or not based on a worker identification result. The method comprises the following steps of detecting a worker target appearing on the working site of the electric power facility by training a HOG-characteristic-based classifier, and judging whether dressing and equipment of the worker target meet safety requirements on the working site or not based on the identified worker target, mainly comprising safety items such as whether a helmet is worn or not, whether safety clothes are completely worn (without exposed skin) or not and whether the worker on a pole transformer correctly wears a safety belt or not. According to the method, the dressing of the worker can be detected in advance before the worker enters the working site, and an additional worker for supervision is not required to be deployed; in addition, if the dressing of the worker is inconsistent with norms, the worker is early-warned and prompted, so that safety accidents caused by nonstandard dressing are avoided, and potential safety hazards are eliminated.

Description

technical field [0001] The invention relates to a detection method, in particular to a detection method for personnel's clothing safety at the scene of electric power facility action. Background technique [0002] During the maintenance of power facilities, since the staff need to directly contact the power facilities, once the staff do not dress safely as required, a large number of potential safety hazards will be generated in the process. At the same time, due to the high risk of power system facilities, once a safety accident occurs, it will usually cause irreversible and serious consequences. Therefore, it is necessary to carry out video monitoring throughout the maintenance process of power facilities to ensure the safety of personnel at the power facility operation site. [0003] In view of this, the inventor conducted research on this, and specially developed a method for detecting the clothing safety of personnel at the scene of electric power facilities, and this ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/66G06Q50/06
Inventor 牟轩沁彭斌潘坚跃李志强安晓军麻立群李敏张元歆
Owner STATE GRID CORP OF CHINA
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