Power station fault diagnosis system based on robot feedback

Abstract

The utility model discloses a power station fault diagnosis system based on robot feedback, which belongs to the technical field of power equipment monitoring and diagnosis and comprises an inspection robot and a centralized control platform. The inspection robot comprises a four-wheel eight-wheel-drive chassis, a rotary holder arranged above the four-wheel eight-wheel-drive chassis, an electric folding arm arranged above the rotary holder, and a high-definition camera and an infrared camera which are arranged at one end, far away from the rotary holder, of the electric folding arm, and an ARM architecture server is arranged in the inspection robot. According to the power station fault diagnosis system based on robot feedback, the power station equipment monitoring and fault diagnosis process is automated, the diagnosis efficiency is improved, the labor cost is reduced, and the safety of a power system is enhanced.

Description

Technical Field

[0001] The utility model relates to the technical field of power equipment monitoring and diagnosis, in particular to a power station fault diagnosis system based on robot feedback. Background Art

[0002] As power systems continue to develop, the complexity and scale of power plant equipment are gradually increasing, making the timely diagnosis and repair of power plant faults particularly critical. Traditional power plant fault diagnosis methods have a series of problems that limit their effectiveness in meeting the challenges of modern power systems. The complexity and diversity of power plant equipment make it difficult for traditional fault diagnosis methods to adapt to various types of faults. Therefore, a more intelligent and adaptive system is needed to effectively deal with different fault situations. Utility Model Content

[0003] The utility model aims to provide a power station fault diagnosis system based on robot feedback, which realizes comprehensive monitoring and diagnosis of power station equipment through the inspection feedback of the inspection robot on the on-site equipment and the image intelligent recognition system of the inspection robot.

[0004] To achieve the above-mentioned purpose, the utility model provides a kind of inspection robot and a centralized control platform, wherein the inspection robot includes a self-inspection mode and an inspection mode, and the inspection mode includes comprehensive inspection, routine inspection and special inspection, etc. After the inspection is completed, the inspection robot automatically generates a task report to realize high-density, high-granularity detection and multi-dimensional analysis and management of substation equipment and ambient temperature. The inspection report supports export in PDF and Excel formats and is saved locally. The inspection robot includes a four-wheel eight-wheel drive chassis, a rotating pan-tilt platform arranged above the four-wheel eight-wheel drive chassis, an electric folding arm arranged above the rotating pan-tilt platform, and a high-definition camera and an infrared camera arranged at the end of the electric folding arm away from the rotating pan-tilt platform. The inspection robot has a built-in ARM architecture server.

[0005] Preferably, the inspection robot also includes a body and an environmental sensor, a 3D laser radar, an audio sensor, a control panel and a colorful status light arranged on the body, and the self-inspection mode and the inspection mode are both connected to the control panel.

[0006] Preferably, the inspection mode includes a data acquisition module, an infrared temperature measurement module, a noise acquisition module and an alarm and display module.

[0007] Preferably, the vehicle body is also provided with an online infrared thermal imager to detect the temperature data of the power equipment in real time. The inspection robot diagnoses heat-causing equipment failures and thermal defects through infrared detection and triggers corresponding alarms. The online infrared thermal imager supports infrared general measurement, precise temperature measurement and remote control temperature measurement, etc., to achieve high-density, high-granularity multi-dimensional temperature detection and analysis.

[0008] Preferably, the centralized control platform includes a real-time monitoring module, a data query and analysis module, and an alarm judgment module.

[0009] Preferably, the control panel is connected to the ARM architecture server, and the ARM architecture server is connected to the centralized control platform via Wifi or 5G to conduct two-way information interaction. The inspection robot transmits the inspection data, alarm information, etc. to the centralized control platform to ensure timely feedback and management.

[0010] Therefore, the utility model adopts a power station fault diagnosis system based on robot feedback of the above structure, and automates the power station equipment monitoring and fault diagnosis process by introducing an intelligent patrol robot, thereby improving the diagnosis efficiency, reducing labor costs, and enhancing the safety of the power system; the multi-sensor collaborative work and intelligent functions of the patrol robot enable it to efficiently perform patrol tasks in complex environments, discover potential problems in a timely manner, and provide a strong guarantee for the stable operation of the power system.

[0011] The technical solution of the utility model is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 This is a schematic diagram of the structure of an inspection robot in an embodiment of a power plant fault diagnosis system based on robot feedback according to the utility model;

[0013] Figure 2 A side view of the inspection robot according to an embodiment of the utility model;

[0014] Figure 3 It is an overall framework diagram of an embodiment of the utility model;

[0015] Figure numerals: 1. Four-wheel eight-wheel drive chassis; 2. Rotating pan-tilt head; 3. Electric folding arm; 4. High-definition camera; 5. Infrared camera; 6. Vehicle body; 7. Online infrared thermal imager. DETAILED DESCRIPTION

[0016] The technical solution of the utility model is further described below through the accompanying drawings and embodiments.

[0017] Unless otherwise defined, the technical terms or scientific terms used in the present invention shall have the usual meanings understood by persons with ordinary skills in the field to which the present invention belongs. The words "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. Words such as "include" or "comprise" and the like mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. Words such as "connect" or "connected" and the like are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0018] Example

[0019] The technical solutions in the embodiments of the present utility model will be described clearly and completely below in conjunction with the accompanying drawings.

[0020] like Figure 1-3 As shown, a power station fault diagnosis system based on robot feedback includes a patrol robot and a centralized control platform. The patrol robot adopts a T7-S indoor wheeled lifting patrol robot with a maximum height of 1.65 meters. The patrol robot is charged by a contact charging pile. The input voltage of the charging pile is 220V / 50Hz. The patrol robot includes a self-check mode and a patrol mode. The patrol robot includes a four-wheel eight-wheel drive chassis 1, a rotating gimbal 2 arranged above the four-wheel eight-wheel drive chassis 1, an electric folding arm 3 arranged above the rotating gimbal 2, and a high-definition camera 4 and an infrared camera 5 arranged at one end of the electric folding arm 3 away from the rotating gimbal 2. The patrol robot has an ARM architecture server built in; it also includes a body 6 and environmental sensors, 3D laser radars, audio sensors, control panels, colorful status lights and other components arranged on the body 6, and the self-check mode and the patrol mode are both connected to the control panel, which can accurately identify power station equipment, including instrument readings, indicator lights, knife switches, equipment appearance, etc.

[0021] The inspection mode includes manual remote inspection, which allows operation and maintenance personnel to control the inspection robot in real time through the management background or remote control handle, quickly reach the abnormal equipment location, and conduct real-time monitoring. After each inspection task, the inspection robot will generate an inspection report, including visible light and infrared image viewing. The background system supports historical data analysis of the temperature data of the equipment and generates a graphical display to facilitate fault diagnosis by operation and maintenance personnel. The inspection mode includes data acquisition module, infrared temperature measurement module, noise acquisition module and alarm and display module; the centralized control platform includes real-time monitoring module, data query and analysis module and alarm judgment module.

[0022] The vehicle body 6 is also provided with an online infrared thermal imager 7, which transmits infrared video and temperature data to the local monitoring system in real time. Through infrared detection, the inspection robot can monitor the temperature of the power equipment with high precision and diagnose heat-causing equipment failures and thermal defects. The imaging pixel of the infrared detection equipment is not less than 384×288, and the temperature measurement accuracy is not less than ±2°C. It supports pseudo-color display of infrared images and displays the position of the highest temperature point and the temperature value in real time.

[0023] The control panel is connected to the ARM architecture server, and the ARM architecture server is connected to the centralized control platform via Wifi or 5G.

[0024] The specific inspection fault diagnosis process is as follows:

[0025] First, before the inspection robot starts the inspection task, it uses the self-check function to check the status of the online infrared thermal imager 7, high-definition camera 4, infrared camera 5, motor, pan / tilt 2, internal storage, and various sensors. If there is an abnormality, the system will upload the abnormal information to the monitoring background to provide the operation and maintenance personnel with the ability to discover faults in a timely manner.

[0026] Secondly, the inspection robot performs tasks in automatic inspection mode. First, it uses its own visible light camera to collect video image data, and uses a high-precision image recognition algorithm (using the YOLOv5 target detection algorithm to achieve fast and accurate detection and positioning of target objects in power station videos) to intelligently analyze the image content, accurately identify equipment status and environmental information, and image recognition supports automatic meter reading to fully grasp the status information of power equipment and environment in the station. At the same time, the robot stores video data and supports functions such as starting recording, stopping recording, and playing, providing a basis for subsequent data analysis.

[0027] Secondly, the inspection robot is equipped with an online infrared thermal imager 7 to collect the temperature of the power equipment. The collected data can be accurately measured and remotely measured through the infrared temperature measurement function to diagnose heat-causing equipment failures and thermal defects. The robot has an infrared fast patrol function, which does not require stopping to take pictures, and can measure the temperature and identify the equipment during operation.

[0028] At the same time, the inspection robot is equipped with a sound pickup to collect noise conditions on site and generate noise decibel, spectrum and time domain graphs through analysis. Exceeding the decibel limit can trigger an alarm, provide timely feedback on abnormal sound conditions of equipment operation, and provide early warning of faults.

[0029] Finally, the inspection robot has intelligent alarm and real-time map display functions. Through the analysis of monitoring data, the system generates various types of alarm information, including inspection object alarms, environmental alarms, system alarms, etc., which are divided into two levels: general alarms and severe alarms. The real-time map display module can display the robot's map information, including the path, inspection point location, and real-time location. These alarm information provides timely and clear feedback to operation and maintenance personnel, which helps to quickly respond to and deal with potential problems.

[0030] Therefore, the utility model adopts a power plant fault diagnosis system based on robot feedback of the above structure, automates the power plant equipment monitoring and fault diagnosis process, improves the diagnosis efficiency, reduces labor costs, and enhances the safety of the power system.

[0031] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the utility model rather than to limit it. Although the utility model has been described in detail with reference to the preferred embodiments, ordinary technicians in this field should understand that they can still modify or replace the technical solution of the utility model with equivalents, and these modifications or equivalent replacements cannot cause the modified technical solution to deviate from the spirit and scope of the technical solution of the utility model.

Claims

1. A power plant fault diagnosis system based on robot feedback, characterized in that: The invention comprises an inspection robot and a centralized control platform. The inspection robot comprises a self-inspection mode and an inspection mode. The inspection robot comprises a four-wheel eight-wheel drive chassis, a rotating pan-tilt platform arranged above the four-wheel eight-wheel drive chassis, an electric folding arm arranged above the rotating pan-tilt platform, and a high-definition camera and an infrared camera arranged at one end of the electric folding arm away from the rotating pan-tilt platform. The inspection robot has a built-in ARM architecture server.

2. A power plant fault diagnosis system based on robot feedback according to claim 1, characterized in that: The inspection robot also includes a body and an environmental sensor, a 3D laser radar, an audio sensor, a control panel and a colorful status light arranged on the body, and the self-inspection mode and the inspection mode are both connected to the control panel.

3. A power plant fault diagnosis system based on robot feedback according to claim 2, characterized in that: The inspection mode includes a data acquisition module, an infrared temperature measurement module, a noise acquisition module and an alarm and display module.

4. A power plant fault diagnosis system based on robot feedback according to claim 3, characterized in that: An online infrared thermal imager is also arranged on the vehicle body.

5. A power plant fault diagnosis system based on robot feedback according to claim 4, characterized in that: The centralized control platform includes a real-time monitoring module, a data query and analysis module, and an alarm judgment module.

6. A power plant fault diagnosis system based on robot feedback according to claim 5, characterized in that: The control board is connected to the ARM architecture server, and the ARM architecture server is connected to the centralized control platform via Wifi or 5G.

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