AR intelligent electric power inspection method and equipment
By using AR intelligent power inspection equipment and infrared thermal imaging and data processing technology, the status of power equipment can be identified in real time, which solves the problems of high cost and difficult maintenance of existing equipment and achieves efficient and accurate power inspection.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-05
- Publication Date
- 2026-03-13
AI Technical Summary
Existing intelligent power inspection equipment suffers from high technical costs, high maintenance difficulty, and limited applicability.
The AR intelligent power inspection method is adopted, which collects infrared thermal imaging data through the sensor module of wearable device, processes the data in real time and identifies the equipment status, and displays it in real time through AR display module and mobile APP, supporting multi-point temperature extraction and comprehensive analysis.
It improves the efficiency and accuracy of inspections, reduces diagnostic time, provides direct visual feedback on equipment operating status, and reduces the need for manual document review.
Smart Images

Figure CN121663801A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of power system modeling and analysis technology, specifically to an AR intelligent power inspection method and equipment. Background Technology
[0002] Traditional power line inspections primarily rely on manual labor, requiring inspectors to personally visit power lines and equipment to check their operational status. While intuitive, this method suffers from long inspection cycles, high workload, and low data processing efficiency. With the continuous development of technologies such as artificial intelligence, big data, and the Internet of Things, the power line inspection industry has evolved from manual to semi-automated and then to intelligent inspections. Intelligent inspection robots, drones, and other advanced equipment are widely used in power line inspections. These devices can autonomously complete inspection tasks, significantly improving efficiency and accuracy while reducing the cost and risks of manual inspections. However, robot and drone inspections also have drawbacks, including high technical costs, maintenance difficulties, and limited applicability. Summary of the Invention
[0003] Purpose of the invention: The purpose of this invention is to provide an AR intelligent power inspection method and equipment to solve problems such as high technical cost, high maintenance difficulty, and limited applicability.
[0004] Technical solution: The AR intelligent power inspection method of the present invention includes the following steps: (1) Infrared thermal imaging data of the power equipment under test is collected through the sensor module of the wearable device itself; (2) Transmit the infrared thermal imaging data to the data processing module; use the data processing module to process the infrared thermal imaging data in real time, and identify the operating status of the power equipment based on image intelligent recognition technology; (3) The processing results are displayed in real time through the AR display module, and the inspection results are viewed simultaneously on the accompanying mobile APP.
[0005] Furthermore, the data processing module uses artificial intelligence algorithms to convert infrared images into temperature data and supports multi-point temperature extraction to detect abnormal heating phenomena in power equipment.
[0006] Furthermore, the mobile app has at least one of the following functions: lens flip, wide dynamic range temperature switching, temperature correction, shutter correction, measurement mode switching, historical data query, and alarm settings.
[0007] The present invention discloses an AR intelligent power inspection device, comprising: a wearable device body integrating an AR display module, a sensor module, and a data processing module; a power supply module, independently configured and supplying power to the wearable device body via a cable; the sensor module including an infrared thermal imaging module for collecting temperature data of power equipment; and the data processing module for rapidly processing and identifying the collected data and sending the results to the AR display module for real-time display.
[0008] Furthermore, the wearable device is detachably mounted on the safety helmet. The safety helmet has an internal mounting rail with a mounting bracket that slides on the rail. The mounting bracket has a clamping mechanism for clamping external electronic devices and a Type-C cable for connecting the power supply module.
[0009] Furthermore, the mounting bracket is equipped with an elastic locking mechanism to lock the mounting bracket into the locking groove of the mounting slide rail, thereby achieving a stable installation of the AR wearable device.
[0010] Furthermore, the power inspection equipment also includes a supporting mobile app, deployed on 5G industrial AR wearable device terminals, which supports real-time viewing, saving, and analysis of infrared thermal imaging data.
[0011] Furthermore, the mobile app adopts a layered architecture design, including a hardware interaction layer, a core service layer, a business logic layer, and a UI interaction layer. Each layer communicates through interfaces, supporting functional expansion and modular maintenance.
[0012] Furthermore, the core service layer has multiple built-in temperature measurement models, which automatically call the corresponding temperature measurement algorithm according to the scenario selected by the user, including human body temperature measurement model and industrial equipment temperature measurement model.
[0013] Furthermore, the sensor module is also used to collect status data of other electrical equipment besides temperature, and to perform comprehensive analysis and fault diagnosis through the data processing module.
[0014] Beneficial Effects: Compared with existing technologies, the present invention has the following significant advantages: The AR intelligent inspection wearable device of the present invention can identify the operating status of equipment, such as overheating and abnormal voltage, providing accurate basis for timely problem handling, reducing diagnostic time, and greatly improving inspection efficiency. Through the AR intelligent inspection wearable device, inspection personnel can directly see virtual information overlays on the device, such as the operating status of the equipment and historical fault records, without having to consult a large number of documents, thus improving the accuracy of inspections. Attached Figure Description
[0015] Figure 1 This is a flowchart of the present invention; Figure 2 This is the thermal infrared image of the present invention. Detailed Implementation
[0016] The technical solution of the present invention will be further described below with reference to the accompanying drawings.
[0017] This invention provides an AR intelligent power inspection method, comprising the following steps: (1) Infrared thermal imaging data of the power equipment under test is collected through the sensor module of the wearable device itself; (2) Transmit the infrared thermal imaging data to the data processing module; use the data processing module to process the infrared thermal imaging data in real time, and identify the operating status of the power equipment based on image intelligent recognition technology; the data processing module uses artificial intelligence algorithms to convert the infrared image into temperature data, and supports multi-point temperature extraction function to detect abnormal heating phenomena of power equipment.
[0018] (3) The processing results are displayed in real time through the AR display module, and the inspection results can be viewed simultaneously on the accompanying mobile APP. The mobile APP has at least one of the following functions: lens flip, wide dynamic range temperature switching, temperature correction, shutter correction, measurement mode switching, historical data query, and alarm setting.
[0019] like Figure 1-2 As shown in the figure, this embodiment of the invention also provides an AR intelligent power inspection device, including: a wearable device body, integrating an AR display module, a sensor module, and a data processing module; a power supply module, independently set and supplying power to the wearable device body via a cable; the sensor module includes an infrared thermal imaging module for collecting temperature data of power equipment; the sensor module is also used to collect other power equipment status data besides temperature, and performs comprehensive analysis and fault diagnosis through the data processing module; the data processing module is used to quickly process and identify the collected data, and send the results to the AR display module for real-time display.
[0020] The wearable device is detachably mounted on the safety helmet. The helmet has an internal mounting rail with a mounting bracket that slides along it. The mounting bracket has a clamping mechanism for attaching external electronic devices and a Type-C cable for connecting a power supply module. The mounting bracket has a spring-loaded locking mechanism to secure it in the locking groove of the mounting rail, ensuring a stable installation of the AR wearable device.
[0021] The power line inspection equipment also includes a companion mobile app deployed on a 5G industrial AR wearable device terminal, supporting real-time viewing, saving, and analysis of infrared thermal imaging data. The mobile app adopts a layered architecture design, including a hardware interaction layer, a core service layer, a business logic layer, and a UI interaction layer. Each layer communicates through interfaces, supporting functional expansion and modular maintenance. The core service layer has multiple built-in temperature measurement models, automatically invoking the corresponding temperature measurement algorithm based on the user-selected scenario, including human body temperature measurement models and industrial equipment temperature measurement models.
Claims
1. An AR-based intelligent power grid inspection method, characterized in that, Includes the following steps: (1) Infrared thermal imaging data of the power equipment under test is collected through the sensor module of the wearable device itself; (2) Transmit the infrared thermal imaging data to the data processing module; use the data processing module to process the infrared thermal imaging data in real time, and identify the operating status of the power equipment based on image intelligent recognition technology; (3) The processing results are displayed in real time through the AR display module, and the inspection results are viewed simultaneously on the accompanying mobile APP.
2. The AR intelligent power inspection method according to claim 1, characterized in that, The data processing module uses artificial intelligence algorithms to convert infrared images into temperature data and supports multi-point temperature extraction to detect abnormal heating phenomena in power equipment.
3. The AR intelligent power inspection method according to claim 1, characterized in that, The mobile app has at least one of the following functions: lens flip, wide dynamic range temperature switching, temperature correction, shutter correction, measurement mode switching, historical data query, and alarm settings.
4. An AR intelligent power inspection device, characterized in that, include: The wearable device itself integrates an AR display module, a sensor module, and a data processing module; The power supply module is independently configured and supplies power to the wearable device via a cable; the sensor module includes an infrared thermal imaging module for collecting temperature data of the power equipment; the data processing module is used to quickly process and identify the collected data and send the results to the AR display module for real-time display.
5. An AR intelligent power inspection device according to claim 4, characterized in that, The wearable device is detachably mounted on the safety helmet. The safety helmet has an internal mounting rail with a mounting bracket that slides on the rail. The mounting bracket has a clamping mechanism for clamping external electronic devices and a Type-C cable for connecting the power supply module.
6. The AR intelligent power inspection device according to claim 5, characterized in that, The mounting bracket is equipped with an elastic locking mechanism to lock the mounting bracket into the locking groove of the mounting slide rail, thereby achieving a stable installation of the AR wearable device.
7. An AR intelligent power inspection device according to claim 4, characterized in that, The power inspection equipment also includes a supporting mobile app, deployed on 5G industrial AR wearable devices, which supports real-time viewing, saving and analysis of infrared thermal imaging data.
8. An AR intelligent power inspection device according to claim 7, characterized in that, The mobile app adopts a layered architecture design, including a hardware interaction layer, a core service layer, a business logic layer, and a UI interaction layer. Each layer communicates through interfaces, supporting functional expansion and modular maintenance.
9. An AR intelligent power inspection device according to claim 8, characterized in that, The core service layer has multiple built-in temperature measurement models, which automatically call the corresponding temperature measurement algorithm according to the scenario selected by the user, including human body temperature measurement model and industrial equipment temperature measurement model.
10. An AR intelligent power inspection device according to claim 4, characterized in that, The sensor module is also used to collect status data of other electrical equipment besides temperature, and to perform comprehensive analysis and fault diagnosis through the data processing module.
Citation Information
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