Substation equipment temperature detection system and method based on image recognition technology

Abstract

The invention discloses a substation equipment temperature detection system and method based on an image recognition technology. The substation equipment temperature detection system comprises infrared temperature measurement equipment and an upper computer connected with the infrared temperature measurement equipment. The infrared temperature measurement equipment is used for deploying an infrared camera device in a substation area and acquiring an infrared image of equipment to be measured in the substation and sending the infrared image to the upper computer; an interface front end and a control background are arranged in the upper computer; the control background is used for executing the task instruction, identifying the temperature of the to-be-tested equipment in the infrared image and judging whether alarm information needs to be sent or not; and the interface front end is used for receiving a task instruction and a temperature alarm threshold value of a user, and displaying an infrared image, an infrared temperature measurement image and alarm information. Infrared image data are collected through the infrared camera device, temperature information in an image is automatically analyzed through the image recognition technology, real-time detection of the temperature of transformer substation equipment is achieved, the labor cost is reduced, and the equipment detection efficiency is improved; when the temperature is abnormal, an alarm can be triggered in time, and the fault response speed is increased.

Description

Technical Field

[0001] The invention belongs to the field of image processing, and in particular to a temperature detection system and method for substation equipment based on image recognition technology. Background Art

[0002] Traditional substation equipment temperature detection methods mostly rely on manual inspections. Workers need to enter the substation regularly and use handheld infrared thermometers to detect the temperature of each key part one by one. This method is not only time-consuming and inefficient, but also has multiple dangerous factors such as high voltage and strong magnetic fields, which poses a greater safety risk to operators. In addition, since manual inspections are difficult to achieve continuous detection, equipment failures between two inspections may not be discovered in time, resulting in potential accident hazards not being handled in a timely manner, which in turn affects the safe and stable operation of the power grid.

[0003] With the rapid development of image recognition technology and continuous breakthroughs in the field of computer vision, it has become a reality to use image recognition technology to detect equipment temperature. Infrared image recognition is one of the most direct and commonly used methods for temperature detection. Infrared cameras can capture infrared radiation emitted by the surface of an object and convert it into visible images. The brightness or color depth of these images directly reflects the temperature distribution of the object. By analyzing these infrared images, the temperature of each part of the equipment can be accurately measured, and temperature abnormalities can be found in time, thereby predicting possible failures or dangerous situations. Summary of the invention

[0004] In view of the above-mentioned deficiencies in the prior art, the present invention provides a substation equipment temperature detection method and system based on image recognition technology, which aims to collect image data of substation equipment (such as transformers) through infrared camera equipment, and automatically analyze the temperature information in the image using image recognition technology, so as to realize real-time detection and abnormal alarm of the temperature of substation equipment, improve monitoring accuracy and efficiency, reduce labor costs, and ensure the safe and stable operation of substation equipment.

[0005] The technical solution adopted by the present invention to achieve the above-mentioned purpose is:

[0006] A temperature detection system for substation equipment based on image recognition technology, comprising an infrared temperature measuring device and a host computer connected thereto;

[0007] The infrared temperature measuring device deploys an infrared camera in the substation area to collect infrared images of the equipment to be tested in the station and send them to the host computer;

[0008] The host computer is provided with an interface front end and a control back end; the control back end is used to execute task instructions, identify the temperature of the device to be tested in the infrared image, and determine whether an alarm message needs to be issued; the interface front end is used to receive the user's task instructions and temperature alarm parameters, display infrared images and infrared temperature measurement images, and alarm messages.

[0009] The control background includes: inspection task module, image processing module, and equipment alarm module;

[0010] The inspection task module is used to communicate with the interface front end, collect task instructions, and output control signals to the infrared temperature measurement device to collect images;

[0011] The image processing module is used to perform image processing on the collected infrared image, obtain the infrared image color at each pixel position of the image, and convert it into the device temperature;

[0012] The device alarm module is used to communicate with the interface front end, collect temperature alarm parameters, calculate whether the device temperature falls within the temperature alarm threshold range, and send a warning message to the front end interface.

[0013] The image processing module performs image processing operations including: denoising and contrast enhancement.

[0014] A method for detecting temperature of substation equipment based on image recognition technology comprises the following steps:

[0015] Step 1: The user logs in to the front-end interface of the host computer system and enters the substation equipment inspection task and the temperature alarm threshold of the equipment;

[0016] Step 2: The control background of the host computer starts the patrol task. When the equipment that needs temperature measurement is found, the infrared camera deployed in the substation area is called to take the infrared image of the equipment to be tested and upload it to the host computer;

[0017] Step 3: The host computer receives the infrared image, and the image processing module uses a machine vision recognition method to analyze the image and calculate the temperature distribution map;

[0018] Step 4: The image processing module sends the temperature distribution map to the interface front end for visual display;

[0019] Step 5: The equipment alarm module of the host computer receives the temperature distribution map, determines whether an alarm is required based on the temperature alarm threshold of the equipment, and notifies the relevant patrol personnel of the substation.

[0020] The inspection task includes: setting the inspection sampling interval, inspection sampling equipment points and cumulative monitoring time, which is used to capture infrared images of the equipment to be tested at multiple points in a long time sequence.

[0021] The image processing module uses a machine vision recognition method to analyze the image temperature and calculate the temperature range, including:

[0022] Step 301: preprocess the image, including denoising and contrast enhancement;

[0023] Step 302: Identify the colors of different areas in the infrared image and convert them into corresponding temperature values; construct a temperature distribution map of the entire scene or target object through pixel-by-pixel or region-by-region analysis;

[0024] Step 303: Calculate the maximum and minimum temperature in the image.

[0025] The device alarm module receives the temperature distribution map and determines whether an alarm is needed based on the temperature alarm threshold of the device. The judgment is made based on whether the maximum and minimum temperature values ​​in the image exceed the temperature alarm threshold.

[0026] Compared with the prior art, the present invention has the following beneficial effects and advantages:

[0027] The present invention collects infrared image data through an infrared camera device, and uses image recognition technology to automatically analyze the temperature information in the image, thereby realizing real-time detection of the temperature of substation equipment, reducing labor costs, and improving equipment detection efficiency; when there is a temperature abnormality, an alarm can be triggered in time to improve the fault response speed. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 It is a system structure diagram of the present invention;

[0029] Figure 2 It is a schematic diagram of the system flow of the present invention. DETAILED DESCRIPTION

[0030] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation method of the present invention is further described in detail below in conjunction with the accompanying drawings. In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention can be implemented in many other ways different from those described herein, and those skilled in the art can make similar improvements without violating the connotation of the invention, so the present invention is not limited by the specific implementation disclosed below.

[0031] The present invention provides a method and system for detecting the temperature of substation equipment based on image recognition technology. By installing an infrared camera at a fixed position in the substation, the infrared image of the equipment can be continuously captured and transmitted to the patrol system for processing. After receiving the infrared image, the image processing module analyzes and calculates it in combination with the temperature measurement model, and finally outputs the equipment temperature (range). Once an abnormal temperature rise is found, the system can immediately start the early warning mechanism and notify relevant personnel to take measures to prevent accidents.

[0032] like Figure 1 The figure shows the system structure diagram of the present invention. Specifically, a temperature detection system for substation equipment based on image recognition technology includes an infrared temperature measuring device and a host computer connected thereto; the infrared temperature measuring device deploys an infrared camera device in the substation area to collect infrared radiation images of the equipment to be tested in the station and send them to the host computer; the host computer is provided with an interface front end and a control background; the control background is used to execute task instructions, identify the temperature of the equipment to be tested in the infrared radiation image, and determine whether an alarm message needs to be issued; the interface front end is used to receive the user's task instructions and set temperature alarm parameters, display infrared radiation images and infrared temperature measurement images and alarm messages.

[0033] The control background includes an inspection task module, an image processing module, and an equipment alarm module; the inspection task module is used to communicate with the interface front end, receive task instructions, and output control signals to the infrared temperature measurement device to collect images; the image processing module is used to process the collected infrared radiation image, obtain the infrared image color at each pixel position of the image, and convert it into the device temperature; the image processing module performs image processing operations including: denoising and contrast enhancement. The equipment alarm module is used to communicate with the interface front end, receive temperature alarm parameters, calculate whether the device temperature falls within the temperature alarm parameter range, and send a warning message to the front end interface.

[0034] like Figure 2 Specifically, a method for detecting temperature of substation equipment based on image recognition technology includes the following steps:

[0035] Substation inspection steps: The substation creates inspection tasks through the intelligent inspection system. The inspection tasks control several camera devices and are responsible for issuing instructions to notify the cameras to shoot the inspection equipment.

[0036] Infrared image processing steps: receive and process the infrared images forwarded by the patrol system, analyze the images and calculate the equipment temperature.

[0037] Equipment alarm steps: The infrared temperature measurement results are returned to the patrol system, and the system determines whether an alarm is needed based on the threshold set by the equipment.

[0038] The specific implementation steps of the method of the present invention are as follows:

[0039] Step 1: The user logs in to the host computer of the substation inspection system, creates an inspection task for substation equipment, and sets the temperature alarm threshold for each device to be tested in the substation.

[0040] Step 101: The inspection task includes several inspection points. For substation equipment that needs to be temperature measured, infrared cameras are pre-installed next to the points to capture infrared radiation images.

[0041] Step 2: Start the patrol task. When patrolling to the equipment that needs temperature measurement, call the infrared camera device to take infrared radiation images of the equipment, and upload the captured infrared radiation images to the patrol system host computer for storage.

[0042] Step 3: After receiving the infrared radiation image, the host computer sends the infrared radiation image to the infrared image processing module. The processing module uses machine vision recognition technology to analyze the image temperature and calculate the maximum and minimum temperature values.

[0043] Step 301: In the right area of ​​the infrared image, there is a color band, which shows a specific gradient of all color types contained in the infrared spectrum. The infrared image processing module first identifies the color band and determines the color coverage.

[0044] Step 302: The infrared image processing module identifies different color areas in the infrared image by comparing with the color bands and converts them into corresponding temperature values. Through pixel-by-pixel or region-by-region analysis, the program can construct a temperature distribution map of the entire scene or target object, providing intuitive data for subsequent decision support.

[0045] Step 303: The infrared image processing module calculates the maximum and minimum values ​​of the temperature in the image.

[0046] Step 4: The image processing module sends the calculated temperature range to the temperature alarm module of the host computer.

[0047] Step 5: After receiving the temperature measurement result, the temperature alarm module determines whether the equipment temperature exceeds the threshold range based on the temperature threshold set at the point. If it exceeds the threshold range, a notification is sent to the relevant patrol personnel of the substation to indicate that there may be a problem with the equipment temperature and that it needs to be handled.

[0048] The key technical points of the present invention include:

[0049] Infrared spectrum temperature recognition: Use machine vision recognition technology to classify and identify the colors of infrared images, and calculate the temperature of the corresponding colors.

[0050] Temperature alarm notification mechanism: When the device temperature exceeds the threshold, a quick method is needed to notify the patrol personnel to ensure that the alarm message can be received as soon as possible.

[0051] It should be noted that the present invention is not limited to the embodiments described above. The above specific embodiments are merely illustrative and not restrictive. Without departing from the scope of the present invention and the scope of protection of the claims, a person of ordinary skill in the art may make many forms of specific changes under the guidance of the present invention, which all fall within the scope of protection of the present invention.

Claims

1. A substation equipment temperature detection system based on image recognition technology, characterized in that: Including infrared temperature measuring equipment and a host computer connected thereto; The infrared temperature measuring device deploys an infrared camera in the substation area to collect infrared images of the equipment to be tested in the station and send them to the host computer; The host computer is provided with an interface front end and a control back end; the control back end is used to execute task instructions, identify the temperature of the device to be tested in the infrared image, and determine whether an alarm message needs to be issued; the interface front end is used to receive the user's task instructions and temperature alarm parameters, display infrared images and infrared temperature measurement images, and alarm messages.

2. According to claim 1, a substation equipment temperature detection system based on image recognition technology is characterized in that: The control background includes: inspection task module, image processing module, and equipment alarm module; The inspection task module is used to communicate with the interface front end, collect task instructions, and output control signals to the infrared temperature measurement device to collect images; The image processing module is used to perform image processing on the collected infrared image, obtain the infrared image color at each pixel position of the image, and convert it into the device temperature; The device alarm module is used to communicate with the interface front end, collect temperature alarm parameters, calculate whether the device temperature falls within the temperature alarm threshold range, and send a warning message to the front end interface.

3. According to claim 1, a substation equipment temperature detection system based on image recognition technology is characterized in that: The image processing module performs image processing operations including: denoising and contrast enhancement.

4. A method for detecting temperature of substation equipment based on image recognition technology, characterized in that: The following steps are involved: Step 1: The user logs in to the front-end interface of the host computer system and enters the substation equipment inspection task and the temperature alarm threshold of the equipment; Step 2: The control background of the host computer starts the patrol task. When the equipment that needs temperature measurement is found, the infrared camera deployed in the substation area is called to take the infrared image of the equipment to be tested and upload it to the host computer; Step 3: The host computer receives the infrared image, and the image processing module uses a machine vision recognition method to analyze the image and calculate the temperature distribution map; Step 4: The image processing module sends the temperature distribution map to the interface front end for visual display; Step 5: The equipment alarm module of the host computer receives the temperature distribution map, determines whether an alarm is required based on the temperature alarm threshold of the equipment, and notifies the relevant patrol personnel of the substation.

5. The substation equipment temperature detection system based on image recognition technology according to claim 4 is characterized in that: The inspection task includes: setting the inspection sampling interval, inspection sampling equipment points and cumulative monitoring time, which is used to capture infrared images of the equipment to be tested at multiple points in a long time sequence.

6. The substation equipment temperature detection system based on image recognition technology according to claim 4 is characterized in that: The image processing module uses a machine vision recognition method to analyze the image temperature and calculate the temperature range, including: Step 301: preprocess the image, including denoising and contrast enhancement; Step 302: Identify the colors of different areas in the infrared image and convert them into corresponding temperature values; construct a temperature distribution map of the entire scene or target object through pixel-by-pixel or region-by-region analysis; Step 303: Calculate the maximum and minimum temperature in the image.

7. The substation equipment temperature detection system based on image recognition technology according to claim 4 is characterized in that: The device alarm module receives the temperature distribution map and determines whether an alarm is needed based on the temperature alarm threshold of the device. The judgment is made based on whether the maximum and minimum temperature values ​​in the image exceed the temperature alarm threshold.

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