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Power equipment joint detection and identification method and system, equipment and storage medium

A technology for joint detection of electrical equipment, applied in neural learning methods, character and pattern recognition, image data processing, etc., can solve problems such as difficulty in combining expert knowledge, low learning efficiency, poor detection results, etc., to avoid poor adaptability , Improving the recall rate and improving the effect of accuracy

Active Publication Date: 2021-12-24
CHINA ELECTRIC POWER RES INST
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existing image-based target detection technology detects each type independently, without considering the logical relevance of adjacent detection targets, it is difficult to combine expert knowledge, and the learning efficiency is low
At present, equipment detection uses a horizontal label frame. This horizontal rectangular frame is not effective in the detection of long and narrow objects and rotating objects.
As the angle of the target changes in the image, the horizontal detection frame does not have rotation invariance, and a lot of noise is introduced into the feature and detection area, which affects the learning effect of the model and the detection result is poor.

Method used

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  • Power equipment joint detection and identification method and system, equipment and storage medium
  • Power equipment joint detection and identification method and system, equipment and storage medium
  • Power equipment joint detection and identification method and system, equipment and storage medium

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Experimental program
Comparison scheme
Effect test

Embodiment 2

[0125] refer to image 3 , the power equipment joint detection and identification system described in the present invention includes:

[0126] Annotation module 1, configured to obtain image information of electrical equipment to be identified;

[0127] The calculation module 2 is used to input the image information of the power equipment to be identified into the trained network model to obtain the position information and angle information of the rotation regression frame, the main power equipment set and the auxiliary power equipment set, wherein the network model It is trained by rotating the image samples of the electrical equipment marked by the regression box;

[0128] The pairing module 3 is used to pair each main electrical equipment in the main electrical equipment set with the auxiliary electrical equipment in the auxiliary electrical equipment set according to the position information and angle information of the rotation regression frame, so as to determine the a...

Embodiment 3

[0130] A computer device, comprising a memory, a processor, and a computer program stored in the memory and operable on the processor, when the processor executes the computer program, the method for joint detection and identification of electric power equipment is realized Step, wherein, the memory may include a memory, such as a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk memory, etc.; the processor, the network interface, and the memory are connected to each other through an internal bus, and the internal bus It can be an industry standard architecture bus, a standard bus for interconnecting peripheral components, an extended industry standard architecture bus, etc. The bus can be divided into address bus, data bus, control bus, etc. The memory is used to store programs, specifically, the programs may include program codes, and the program codes include computer operation instructions. Storage, which can include int...

Embodiment 4

[0132] A computer-readable storage medium, the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method for joint detection and identification of electric equipment are implemented, specifically, the computer-readable storage medium A medium includes, but is not limited to, for example, volatile memory and / or nonvolatile memory. The volatile memory may include a random access memory (RAM) and / or a cache memory (cache) and the like. The non-volatile memory may include read only memory (ROM), hard disk, flash memory, optical disk, magnetic disk, and the like.

[0133] Those skilled in the art should understand that the embodiments of the present application may be provided as methods, systems, or computer program products. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware a...

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Abstract

The invention discloses a power equipment joint detection and identification method and system, equipment and a storage medium, and a storage medium, and the method comprises the steps: obtaining image information of power equipment, and marking each piece of power equipment in the image information of the power equipment through a rotating regression frame; inputting the marked image information of the power equipment into the trained network model to obtain the position information and angle information of a rotating regression frame, a main power equipment set and an auxiliary power equipment set; and according to the position information and the angle information of the rotation regression frame, pairing each piece of main power equipment in the main power equipment set with auxiliary power equipment in the auxiliary power equipment set to determine the auxiliary power equipment corresponding to the main power equipment, and completing image data-oriented power equipment joint detection and identification. The power equipment joint detection and identification method and system, the equipment and the storage medium can accurately carry out joint detection of the power equipment.

Description

technical field [0001] The invention belongs to the technical field of automatic detection, and relates to a joint detection and identification method, system, equipment and storage medium of electric equipment. Background technique [0002] my country is currently in a critical stage of clean energy transformation, and the access to large-scale clean energy has put forward higher requirements for the stability of the power system. The stable operation of power equipment is the basis and guarantee for the safe operation of power networks. Real-time perception and monitoring of power equipment status is of great significance for equipment status evaluation, potential hidden danger investigation, and real-time fault diagnosis. In recent years, the methods of collecting characteristic information of power equipment have been continuously enriched, and the traditional sensing technology and equipment fault diagnosis methods are difficult to adapt to the intelligent requirements ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/00G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06T7/0004G06N3/08G06T2207/10032G06T2207/20076G06T2207/20081G06T2207/20084G06T2207/30108G06N3/047G06N3/045G06F18/241G06F18/2415
Inventor 焦飞莫文昊谈元鹏蒲天骄刘海莹蔡常雨
Owner CHINA ELECTRIC POWER RES INST
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