Power distribution network defect picture rapid analysis method based on NCC image matching algorithm
An image matching algorithm and rapid analysis technology, which is applied in the field of distribution network, can solve the problems of long time consumption and achieve the effects of reducing inspection leaks, saving human resources, and improving speed
Pending Publication Date: 2022-03-08
ELECTRIC POWER RES INST OF GUANGXI POWER GRID CO LTD
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[0004] The purpose of the present invention is to provide a fast analysis method for distribution network defect pictures based on NCC image matching algorithm, thereby overcoming the shortcomings of the existing distribution network defect discovery that takes a long time
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[0025] The technical solutions in the present invention are clearly and completely described below in combination with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0026] figure 1 It shows a fast analysis method for distribution network defect pictures based on NCC image matching algorithm in one embodiment provided by the present invention, including the following steps:
[0027] S1. Acquiring a standard distribution network image;
[0028] S2. Classifying the standard distribution network images to build a recognition database;
[0029] S3. Obtain a real-time distribution network image, use an image recognition algorithm to identify...
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The invention discloses a power distribution network defect picture rapid analysis method based on an NCC image matching algorithm, and relates to the technical field of power distribution networks. Standard power distribution network images are classified to construct an identification database; identifying to-be-analyzed equipment in the real-time power distribution network graph by adopting an image identification algorithm, standardizing the to-be-analyzed equipment, and acquiring a corresponding standard power distribution network image according to the identified to-be-analyzed equipment; and matching the marked real-time power distribution network image with a corresponding standard power distribution network image by adopting an NCC image matching algorithm, and when the output NCC image is marked, determining that the real-time power distribution network image is a power distribution network defect image and the to-be-analyzed equipment in the real-time power distribution network image is defective equipment, otherwise, determining that the equipment in the real-time power distribution network image is normal equipment. Defective equipment can be quickly identified through an NCC image matching algorithm, and classification is not needed, so that human resources are greatly saved, the situation that the distance equipment is original and is inconvenient to check is avoided, and the situation that a manager misses checking is also reduced.
Description
technical field [0001] The invention belongs to the technical field of distribution networks, and in particular relates to a fast analysis method for distribution network defect pictures based on an NCC image matching algorithm. Background technique [0002] The distribution network is a link in the power generation, transmission, distribution, and consumption of the power system that directly supplies power to users. As a conversion hub between the transmission link and the power consumption link, it plays a vital role in the entire power grid. Power distribution equipment is an important part of the power system. The stable operation of power distribution equipment can ensure the safety and reliability of power supply in the distribution network. The staff of the electric power company must regularly maintain and repair the power distribution equipment, and also keep abreast of the operation status of the equipment. Once the equipment is found to be defective or abnormal, ...
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IPC IPC(8): G06T7/00G06V10/75G06K9/62G06N3/04G06Q10/00G06Q50/06
CPCG06T7/0004G06Q10/20G06Q50/06G06N3/045G06F18/22
Inventor 陈绍南俞小勇高立克奉斌秦丽文李克文
Owner ELECTRIC POWER RES INST OF GUANGXI POWER GRID CO LTD