Power transmission equipment identification method based on thermal imaging dual-spectrum temperature measurement ball machine

Abstract

The invention discloses a power transmission equipment identification method based on a thermal imaging dual-spectrum temperature measurement ball machine. The method comprises the following steps: S10, acquiring multispectral image data of power transmission equipment by adopting the thermal imaging dual-spectrum temperature measurement ball machine; s20, identifying and classifying different devices in the image; and S30, the temperature of the identified equipment is detected, and if the temperature exceeds a preset range, an early warning signal is sent out. According to the invention, the monitoring efficiency and accuracy of the power transmission equipment are greatly improved, the defects of manual inspection are avoided, and reliable guarantee is provided for safe operation of a power system.

Description

Technical Field

[0001] This invention belongs to the field of power monitoring, and specifically relates to a method for identifying power transmission equipment based on a thermal imaging dual-spectrum temperature measuring PTZ camera. Background Technology

[0002] In modern power systems, condition monitoring and fault diagnosis of transmission equipment are crucial for ensuring the reliability and security of power supply. With continuous technological advancements, traditional manual inspection methods are gradually being replaced by intelligent monitoring technologies. Infrared thermal imaging and visible light imaging, as two important non-contact monitoring methods, have been widely applied in the condition monitoring of transmission equipment because they can provide temperature information and visual characteristics of the equipment.

[0003] Power transmission equipment, such as transmission lines, transformers, and switchgear, is crucial for ensuring the stable and reliable transmission of electricity. Because power transmission equipment is typically exposed to complex environmental conditions and is susceptible to factors such as weather, pollution, and mechanical stress, continuous condition monitoring and maintenance are essential.

[0004] In power systems, the temperature condition of transmission equipment has a direct impact on its operational safety and reliability. Excessively high equipment temperatures are often a precursor to malfunctions or potential risks, such as equipment overload, insulation aging, or cooling system failure. Therefore, monitoring abnormal temperatures in transmission equipment is crucial for ensuring the stable operation of the power system.

[0005] Common power transmission equipment includes insulators, current transformers, voltage transformers, and disconnect switches. The parts of these devices most prone to overheating are usually the joints, which are also the key areas of focus during maintenance. In traditional substation maintenance, workers need to check the temperature of each equipment joint. This is a large workload, and because equipment maintenance cycles are long, generally only once every three years, it's easy for overheating to go undetected.

[0006] By analyzing infrared and visible light images of power transmission equipment, problems such as overheating, insulation aging, and mechanical damage can be detected in a timely manner, allowing for appropriate maintenance measures to be taken to prevent malfunctions. Summary of the Invention

[0007] In view of this, the present invention proposes a method for identifying power transmission equipment based on a thermal imaging dual-spectrum temperature measurement PTZ camera, comprising the following steps: S10 uses a thermal imaging dual-spectrum temperature measurement ball camera to acquire multispectral image data of power transmission equipment; S20, identifies and classifies different devices in the image; S30 detects the temperature of the identified device and issues a warning signal if the temperature exceeds the preset range.

[0008] Preferably, the procedure specifically includes the following steps: S1, observation path planning for thermal imaging dual-spectrum thermography PTZ camera; S2, a thermal imaging dual-spectrum temperature measurement PTZ camera, captures and uploads infrared and visible light images of power transmission equipment in real time. S3, Power Transmission Equipment Identification: Performing dual-spectral image registration and power transmission component identification and classification; S4, Temperature Detection: The temperature of the identified power transmission components is detected, and a judgment is made based on the preset temperature threshold. S5, Visualization and Result Output: Displays component identification results, temperature detection results, and temperature anomaly alarm information.

[0009] Preferably, S1 includes setting the observation point, focal length, and recognition frequency of the thermal imaging dual-spectrum temperature measuring sphere.

[0010] Preferably, the observation points in S1 include transformers, circuit breakers, disconnect switches, instrument transformers, and surge arresters, as well as their joints.

[0011] Preferably, S2 further includes a thermal imaging dual-spectrum thermometer recording the images to be identified, which are used as raw data for neural networks and temperature calculations.

[0012] Preferably, step S3 includes denoising the acquired infrared and visible light images, then performing image registration to ensure that the infrared and visible light images are structurally aligned, and finally inputting the processed images into a neural network to classify and locate the components.

[0013] Preferably, step S4 includes locating and cutting out a designated area of ​​the power transmission component, calculating the temperature of the cut area according to a preset temperature standard, and comparing the detected temperature with the set maximum permissible temperature.

[0014] Compared with the prior art, the power transmission equipment identification method based on thermal imaging dual-spectrum thermography PTZ camera disclosed in this invention has at least the following beneficial effects: The system automatically identifies power transmission equipment and further detects the temperature of the identified equipment or components. Using multispectral image data acquired by infrared and visible light spherical cameras, the system first accurately identifies and classifies various types of equipment in the images. This process relies on advanced computer vision technology and deep learning models to ensure that the system can accurately locate and label different types of power transmission equipment in complex environments.

[0015] After identification, the system automatically detects the temperature of the identified object, focusing on areas of abnormal temperature, such as hot spots or cold spots. Temperature data not only reveals the current operating status of the equipment but also identifies potential faults through long-term monitoring. If an abnormal temperature is detected, the system will issue an early warning signal, prompting maintenance personnel to conduct timely inspections and maintenance.

[0016] This intelligent analysis system based on image recognition and temperature detection greatly improves the monitoring efficiency and accuracy of power transmission equipment, avoids the shortcomings of manual inspection, and provides a reliable guarantee for the safe operation of the power system. Attached Figure Description

[0017] To make the objectives, technical solutions, and beneficial effects of this invention clearer, the following figures are provided for illustration: Figure 1 This is a schematic diagram of the registration points between infrared images and multi-scale visible light images in an embodiment of the power transmission equipment identification method based on a thermal imaging dual-spectrum thermometer according to an embodiment of the present invention. Figure 2 The image shows the visible light and infrared images of a power transmission equipment based on the thermal imaging dual-spectrum thermography PTZ camera, as an embodiment of the present invention. Detailed Implementation

[0018] The preferred embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0019] See Figure 1 The present invention provides a method for identifying power transmission equipment based on a thermal imaging dual-spectrum temperature measurement PTZ camera, comprising the following steps: S10 uses a thermal imaging dual-spectrum temperature measurement ball camera to acquire multispectral image data of power transmission equipment; S20, identifies and classifies different devices in the image; S30 detects the temperature of the identified device and issues a warning signal if the temperature exceeds the preset range.

[0020] The dual-spectrum thermal imaging PTZ camera is an intelligent monitoring device that integrates infrared thermal imaging and visible light imaging, enabling it to simultaneously acquire temperature information and appearance characteristics of a target object. It captures the temperature distribution map of the equipment surface using an infrared sensor, and combines this with high-definition images obtained from a visible light camera to achieve precise monitoring of the status of power transmission equipment. The advantage of dual-spectrum imaging lies in its ability to provide more comprehensive information in complex environments: infrared imaging can overcome the limitations of visible light to identify potential overheating and abnormal temperature conditions, while visible light imaging helps identify the equipment's appearance characteristics and its surrounding environment.

[0021] In a specific embodiment, the HCIR-DSQ-A600 thermal imaging dual-spectrum temperature measurement ball camera is used. This product combines AI recognition technology and has both infrared thermal imaging and visible light cameras. It can simultaneously acquire infrared and visible light images, provide real-time monitoring and preview, and automatic alarm, and realize 24-hour non-contact real-time monitoring and early warning.

[0022] This thermal imaging PTZ camera has a temperature measurement accuracy of ±2℃ and a measurement range of -20℃ to 550℃. It can be set with 272 preset positions and has a maximum cruise route of 8. By periodically monitoring the temperature and changes of power equipment, including transformers, circuit breakers, disconnect switches, instrument transformers, and surge arresters, this camera can detect equipment faults and potential hazards, provide timely warnings, and prevent equipment damage and power outages.

[0023] Specifically, the following steps are included: S1, Observation path planning for the dual-spectrum thermal imaging temperature measurement PTZ camera; setting the observation points, focal length, and recognition frequency for the dual-spectrum thermal imaging temperature measurement PTZ camera. Observation points include transformers, circuit breakers, disconnect switches, instrument transformers, and surge arresters, as well as their connections. See also Figure 2 These are visible light images and their corresponding infrared images of current transformers and disconnect switches in a substation. If equipment overloads or other factors cause overheating, the connection points ( Figure 2 The temperature first rises and reaches its peak at the two boxes in the left-hand diagram. Therefore, in unmanned monitoring systems, it is crucial to monitor the temperature of these critical joints to promptly detect equipment overheating and take appropriate preventative measures.

[0024] S2, a thermal imaging dual-spectrum temperature measurement PTZ camera captures infrared and visible light images of power transmission equipment in real time and uploads them; the thermal imaging dual-spectrum temperature measurement PTZ camera records the images that need to be identified and uses them as raw data for neural networks and temperature calculations.

[0025] S3, Power Transmission Equipment Identification: Performing dual-spectral image registration and power transmission component identification and classification; including denoising the acquired infrared and visible light images, then performing image registration to align the infrared and visible light images structurally, and finally inputting the processed images into a neural network to classify and locate the components.

[0026] S4, Temperature Detection: The temperature of the identified power transmission components is detected and judged according to the preset temperature threshold; this includes locating the power transmission components and cutting out a specified area, calculating the temperature of the cut area according to the preset temperature standard, and comparing the detected temperature with the set maximum permissible temperature.

[0027] S5, Visualization and Result Output: Displays component identification results, temperature detection results, and temperature anomaly alarm information.

[0028] In addition to the embodiments described above, the present invention may have other implementations. All technical solutions formed by equivalent substitution or equivalent transformation are within the scope of protection claimed by the present invention.

[0029] The present invention has been described in detail above, but its specific implementation is not limited thereto. Various modifications or alterations can be made by those skilled in the art without departing from the spirit and scope of the claims of this application.

Claims

1. A method for identifying power transmission equipment based on a thermal imaging dual-spectrum temperature measuring ball camera, characterized in that: The following steps are involved: S10, using a thermal imaging dual-spectrum temperature measuring ball camera to obtain multi-spectral image data of power transmission equipment; S20, identifying and classifying different devices in the image; S30, detecting the temperature of the identified device, and if it exceeds a preset range, issuing a warning signal.

2. The method for identifying power transmission equipment based on thermal imaging dual-spectrum temperature measuring ball camera according to claim 1 is characterized in that: The specific steps include: S1, thermal imaging dual-spectrum temperature measurement ball camera observation path planning; S2, thermal imaging dual-spectrum temperature measuring ball camera takes infrared and visible light pictures of power transmission equipment in real time and uploads them; S3, power transmission equipment identification: perform dual-spectrum image registration and power transmission component identification and classification; S4, temperature detection: performing temperature detection on the identified power transmission components and making a judgment based on a preset temperature threshold; S5, visual display and result output: display component identification results, temperature detection results and temperature abnormality alarm information.

3. The method for identifying power transmission equipment based on thermal imaging dual-spectrum temperature measuring ball camera according to claim 2 is characterized in that: The S1 includes setting the observation point, focal length, and recognition frequency of the thermal imaging dual-spectrum temperature measuring ball camera.

4. The method for identifying power transmission equipment based on thermal imaging dual-spectrum temperature measuring ball camera according to claim 3 is characterized in that: The observation points in S1 include transformers, circuit breakers, disconnectors, mutual inductors and lightning arresters, and their joints.

5. The method for identifying power transmission equipment based on thermal imaging dual-spectrum temperature measuring ball camera according to claim 2 is characterized in that: The S2 also includes a thermal imaging dual-spectrum temperature measuring ball machine recording the image to be identified, which is used as the original data for neural network and temperature calculation.

6. The method for identifying power transmission equipment based on thermal imaging dual-spectrum temperature measuring ball camera according to claim 2 is characterized in that: The S3 includes denoising the collected infrared and visible light images, and then performing image registration to align the infrared image and the visible light image one by one in structure, and finally inputting the processed images into a neural network to classify and locate the components.

7. The method for identifying power transmission equipment based on thermal imaging dual-spectrum temperature measuring ball camera according to claim 2 is characterized in that: The S4 includes positioning the power transmission component and cutting out a designated area, calculating the temperature of the cut area according to a preset temperature standard, and comparing the detected temperature with the set maximum allowable temperature.

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