Power equipment retrieval method based on deep learning

A technology of electric power equipment and deep learning, applied in the field of image processing, can solve problems such as inability to obtain high retrieval accuracy, achieve the effects of narrowing the retrieval range, improving retrieval efficiency, and reducing noise interference

Active Publication Date: 2019-04-12
YIJIAHE TECH CO LTD
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

However, due to the extremely high similarity between electrical equipment, traditional methods often cannot obtain high retrieval accuracy

Method used

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  • Power equipment retrieval method based on deep learning
  • Power equipment retrieval method based on deep learning
  • Power equipment retrieval method based on deep learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0028] like figure 1 As shown, a deep learning-based power equipment retrieval method provided by the present invention includes the following steps:

[0029] 1) For the pictures to be retrieved taken by the indoor inspection robot in the power distribution room, the currently commonly used deep learning device target detection methods based on R-FCN, Faster R-CNN, Yolo, etc. can be used to realize the positioning and location of the equipment in the pictures to be retrieved. type judgment. The types of testing equipment include pointer meters, digital display meters, temperature and humidity controllers, etc. like figure 2 As shown, after the device target detection is carried out, the device in the picture to be detected (the area surrounded by the solid line) is detected as a pointer meter, and the subsequent retrieval steps can only be performed in the pointer meter in the database, so that The search scope in the database has been narrowed down.

[0030] 2) According...

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PUM

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Abstract

The invention provides a power equipment retrieval method based on deep learning, and relates to the technical field of image processing. The invention provides a power equipment retrieval method based on deep learning. The power equipment retrieval method comprises the steps of detecting target equipment, intercepting an equipment area picture, extracting equipment characteristics, calculating cosine characteristic similarity and determining a final retrieval result. According to the invention, a target detection method in deep learning is combined; according to the method, the device positioning in the device picture and the accurate cutting of the device area are realized, the noise interference of the background picture is reduced, the feature extraction is carried out by adopting thedeep convolutional neural network, the retrieval precision is improved, the retrieval range in the database is reduced through the target detection result, and the retrieval efficiency is improved. Inaddition, the calculation of the local cosine feature similarity of the equipment can more accurately distinguish the equipment type with extremely high similarity, so that the retrieval precision isfurther improved.

Description

technical field [0001] The invention belongs to the technical field of image processing and relates to a retrieval method for electric equipment. Background technique [0002] Usually, in order to grasp the operation status of the equipment, discover the hidden dangers of the equipment in time, monitor the operation dynamics of the equipment, and ensure the safe operation of the equipment, it is necessary for the power inspection robot to check whether various instruments and signal indicating devices are normal, current, voltage, active power, reactive power and other parameters. Whether to carry out regular inspection and monitoring within the allowable range. However, before performing regular power inspection tasks, the power inspection robot needs to know each type of equipment to be inspected. Generally speaking, the type of each equipment to be inspected can be recorded manually; or the inspection robot can automatically retrieve each type of equipment to be inspecte...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/583G06F16/58G06F16/538
Inventor 吴肖项导林欢程敏
Owner YIJIAHE TECH CO LTD
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