Power equipment state intelligent early warning method based on infrared image

A technology of infrared image and power equipment, applied in image enhancement, image data processing, biological neural network model, etc., can solve the problems of complex and heavy infrared image analysis and sorting, and additional operation and maintenance personnel, so as to achieve health status evaluation and The effect of intelligent early warning

Inactive Publication Date: 2018-12-04
ZAOZHUANG POWER SUPPLY COMPANY OF STATE GRID SHANDONG ELECTRIC POWER
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AI Technical Summary

Problems solved by technology

The analysis and arrangement of infrared images is a complex and arduous task, which adds a lot of extra workload to the operation and maintenance personnel

Method used

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  • Power equipment state intelligent early warning method based on infrared image
  • Power equipment state intelligent early warning method based on infrared image
  • Power equipment state intelligent early warning method based on infrared image

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Embodiment 1

[0032] Example 1, such as Figure 1-Figure 6 As shown, an infrared image-based intelligent early warning method for power equipment status, the method is specifically to first build an infrared spectrum library and obtain system operation data before the electrical equipment performs intelligent early warning of operating status. Its structural block diagram is as figure 1 shown.

[0033] The construction of the infrared spectrum library is based on the character recognition of the infrared image. Before the character recognition of the infrared image, the image must be preprocessed to eliminate the noise interference in the image and enhance the quality of the image; Realize the identification of areas where characters may exist; use the projection method to perform vertical and horizontal projections on the binarized image, and use the projected trough as the segmentation boundary; use the template matching method to perform character recognition, and scale the segmented ch...

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Abstract

The invention belongs to the power system field, relates to the application of an infrared thermal imaging technology carrying out fault detection on power equipment and especially relates to a powerequipment state intelligent early warning method based on an infrared image. The method is characterized by constructing an infrared atlas database; carrying out image processing; carrying out character area identification; carrying out limit segmentation; carrying out character identification; constructing an artificial neural network; and acquiring an early warning analysis report. In the invention, the health state evaluation and the intelligent early warning of power equipment based on the infrared image are realized, the high-efficiency management of the infrared image can be realized, and the various characteristic parameters of the infrared image of the power equipment are automatically extracted. The artificial neural network suitable for power equipment maximum operating temperature prediction is designed, and a load current, an atmospheric temperature, relative humidity, a reflection coefficient, a reflection temperature, a photographing distance and a radiation coefficient are taken as inputs so as to realize the power equipment maximum operating temperature prediction. Based on a predicted maximum operating temperature, the health state evaluation and the intelligent early warning of the power equipment are realized.

Description

technical field [0001] The invention belongs to the field of power systems, and relates to the application of infrared thermal imaging technology for fault detection of power equipment, in particular to an intelligent early warning method for power equipment status based on infrared images. Background technique [0002] Loose connection of electrical equipment, poor contact, magnetic flux leakage, overcurrent and many other factors can cause equipment overheating and cause equipment failure. Effectively monitor different types of electrical equipment, and automatically analyze whether there is a fault in the electrical equipment. The type, location and severity of the fault have become a research hotspot in this field. Infrared detection technology is widely used in power equipment fault detection because of its non-contact and high efficiency characteristics. Infrared radiation detection converts the thermal radiation of the device under test into thermoelectric conversion...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/20G06K9/68G06N3/04G06T5/00
CPCG06T5/002G06V10/22G06V30/248G06V30/10G06N3/045
Inventor 仲浩陈化军蔺相斌胡凡张萍朱宜东刘建袁震方保垒李业锋孟晨平王超贾寅飞孙彦宾孟凡波庄江丽
Owner ZAOZHUANG POWER SUPPLY COMPANY OF STATE GRID SHANDONG ELECTRIC POWER
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