An intelligent diagnosis method for local overheating of internal conductors of gis pot insulators
A pot-type insulator and local overheating technology, which is applied in the field of image recognition, can solve the problems that machine learning algorithm feature matching cannot carry out effective detection, etc., and achieve the effect of improving overheating fault identification, low missed detection rate, and reducing manual workload
Active Publication Date: 2021-05-25
TIANJIN UNIV
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As a kind of object detection task, the pot insulator detection task based on visible light image and infrared image depends on the proper selection and extraction of multi-modal image features. The existing single machine learning algorithm, template matching, feature matching and other methods cannot detect effectively
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[0024] In order to make the technical solution of the present invention clearer, the present invention will be further elaborated below in conjunction with the accompanying drawings. The present invention is concretely realized according to the following steps:
[0025] The first step is to establish a shooting pose calibration model based on standard visual image markers.
[0026] In order to enable the vision system to accurately and effectively identify the GIS shell for easy identification and analysis, it is first necessary to set artificially designed markers at corresponding positions near the GIS shell. The design of artificial image marks is based on regular geometric shapes and distinctive color characteristics. Different image marks have different recognition methods, recognition speed, recognition accuracy and program complexity. In digital image processing, black and white are easier to distinguish, and squares are easier to recognize. Therefore, black background...
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The invention relates to a method for intelligently diagnosing the local overheating of the inner conductor of a GIS basin-type insulator, comprising: the first step, establishing a shooting pose calibration model based on standard visual image marks; the second step, establishing a visual index certification for the GIS switch basin-type insulator Indexing structure: Combined with the characteristics of the power grid system, a GIS switch basin insulator indexing mechanism based on geographic space grid is designed. First, the target to be indexed is divided into coarse grids according to geographic space, and a first-level index based on a fixed grid is established. In order to reduce the number of cross-grid spatial objects, and then subdivide the spatial objects completely contained in the grid area, and finally build an index list for the cross-grid spatial objects, and establish an efficient pot insulator index certification database; the location Information is encoded into a visually indexed authentication model embedded in image markers; Step 3: Identify internal anomalies.
Description
technical field [0001] The invention belongs to the field of image recognition, and relates to a comprehensive utilization of traditional image processing methods and deep learning object detection algorithms, based on multi-modal image data, for intelligent retrieval of GIS shell pot insulators, and for local hot spots of internal conductors. method of automatic diagnosis. Background technique [0002] Substations play a very important role in the power system, where voltage and current are exchanged and distributed, and then delivered to consumers. It is directly related to the electricity consumption of millions of households, and large-scale power outages will bring immeasurable losses to the national economy. With the steady development of my country's power system towards UHV, large capacity, and intelligence, the requirements for safe and stable operation of power equipment continue to increase. As an important equipment for collecting, distributing and transmitting...
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IPC IPC(8): G06T7/00G01R31/12
Inventor 侯春萍管岱杨阳郎玥章衡光
Owner TIANJIN UNIV