Equipment information extraction method for transformer substation

Abstract

The invention provides an equipment information extraction method for a transformer substation, and the method comprises the steps: receiving voice operation information in a voice operation ticket ofan electric power maintainer, building a double-layer neural network model for the search and matching of operation ticket information, and extracting a DO object matched with the operation ticket information from an SCD file through similarity calculation and sorting; training the depth target detection neural network by using the sample library, verifying the fitting degree in the training process, performing multi-target identification on the power equipment infrared image in the sample library by using the connection weight and the bias parameter of the verified depth target detection neural network, and extracting equipment information of the transformer substation; and correcting the extracted equipment information by means of the DO object. The deep learning algorithm is used for carrying out deep feature mining on the input infrared image, feature parameters are not extracted manually, information of various kinds of power equipment can be effectively and accurately recognizedand obtained, and the accuracy of carrying out information extraction by means of the infrared image is improved.

Description

technical field [0001] The invention belongs to the field of substation maintenance, in particular to a method for extracting equipment information used in a substation. Background technique [0002] In infrared image fault diagnosis, it is necessary to be able to obtain multiple target areas in the infrared image (such as the location of three-phase equipment or similar equipment), extract the highest temperature information in each area, and compare the status of electrical equipment through temperature. Image segmentation and image matching are two common methods in target location. Among them, Otsu method and watershed method are representative of image segmentation methods. The target recognition effect is achieved by thresholding the infrared image of power equipment. [0003] Image matching is a research hotspot in the fields of computer vision, image processing and pattern recognition. The methods can be roughly divided into two categories: region-based matching meth...

AI Technical Summary

Problems solved by technology

And limited by the infrared imager technology, the quality of infrared images is usually not high

Therefore, image segmentation methods often cannot separate the target from the background, and it is even more difficult for multi-target segmentation.

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