Power distribution network operation and maintenance inspection device and method based on artificial intelligence

Abstract

The invention discloses a power distribution network operation and maintenance inspection device and method based on artificial intelligence, and relates to the technical field of power distribution network operation and maintenance inspection. The power distribution network operation and maintenance inspection device comprises an inspection device bottom plate, the top of the inspection device bottom plate is provided with a high-strength aluminum alloy main body, and the top of the high-strength aluminum alloy main body is provided with a fixed seat; an electric telescopic rod is mounted at the top of the fixed seat, and a holder movement module is mounted at the output end of the electric telescopic rod; and the holder movement module is used for controlling the horizontal and vertical rotation of the visual monitoring module. The holder movement module is installed, the height of the visual monitoring module is adjusted through an electric telescopic rod, and movement is conducted through a connecting rod mechanism composed of a first movable seat, a first linear connecting rod, a second movable seat, an L-shaped connecting rod, a third movable seat, a second linear connecting rod and a fourth movable seat; the rotation of the mounting seat and the visual monitoring module in the horizontal and vertical directions is realized, so that the monitoring range and flexibility are improved, complex terrains and monitoring requirements are met, and the operation and maintenance efficiency and accuracy are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of distribution network operation and maintenance inspection, and specifically to a distribution network operation and maintenance inspection device and method based on artificial intelligence. Background Art

[0002] Traditional distribution network operation and maintenance patrol devices have a limited monitoring range, are prone to missing potential safety hazards and fault points, lack flexibility during the patrol process, and are difficult to adjust the monitoring angle and height according to actual needs. In addition, the patrol path and frequency are often fixed and cannot be dynamically adjusted according to equipment status and monitoring needs. The distribution network operation and maintenance patrol device of the present application can increase the monitoring range and flexibility, adapt to complex terrain and monitoring needs, and improve operation and maintenance efficiency and accuracy.

[0003] The defects of the existing operation and maintenance inspection device are:

[0004] 1. Patent document CN113689589B discloses a cable line inspection method and device based on drones. The document mainly considers how to solve the problem that the existing technology relies on labor costs, the inspection of black spots is not flexible enough, and the power outages caused by barbaric construction occur. It does not consider how to improve the monitoring range and flexibility, adapt to complex terrain and monitoring needs, and improve the efficiency and accuracy of operation and maintenance;

[0005] 2. Patent document CN117251742B discloses an intelligent distribution network operation and maintenance management method and platform. The document mainly considers how to effectively deal with the problem of power data collection failure, but does not consider how to improve the intelligence level of operation and maintenance inspection, enhance fault warning and diagnosis capabilities, and improve operation and maintenance safety;

[0006] 3. Patent document CN113205196B discloses a field operation safety management method and system for distribution network operation and maintenance. The document mainly considers how to remotely analyze the operation safety and specific operation mode of the target equipment, but does not consider how to improve the safety, durability and adaptability of the operation and maintenance equipment, reduce the operation and maintenance costs and improve the operation and maintenance efficiency;

[0007] 4. Patent document CN116843324B discloses an artificial intelligence-based distribution network operation and maintenance system, method, equipment and medium. The document mainly considers how to solve the existing situation of multiple system management of a single power equipment, which is prone to repeated maintenance or maintenance shirking, and the existing operation and maintenance task generation method mainly relies on patrol personnel inspection, resulting in increased working time errors. It does not consider how to achieve comprehensive, real-time monitoring and intelligent operation and maintenance management of distribution network equipment. Summary of the invention

[0008] The purpose of the present invention is to provide a distribution network operation and maintenance inspection device and method based on artificial intelligence to solve the problems raised in the above background technology.

[0009] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: an artificial intelligence-based distribution network operation and maintenance inspection device, comprising an inspection device bottom plate, a high-strength aluminum alloy body is installed on the top of the inspection device bottom plate, a fixing seat is installed on the top of the high-strength aluminum alloy body, an electric telescopic rod is installed on the top of the fixing seat, and a pan / tilt motion module is installed on the output end of the electric telescopic rod;

[0010] The pan-tilt motion module comprises a movable seat 1 installed at the output end of the electric telescopic rod, a linear connecting rod 1 is installed on one side of the movable seat 1, a movable seat 2 is installed at one end of the linear connecting rod 1, an L-shaped connecting rod is installed on the front of the movable seat 2, a movable seat 3 is installed on the top of the L-shaped connecting rod, a linear connecting rod 2 is installed on the back of the movable seat 3, a movable seat 4 is installed at one end of the linear connecting rod 2, a mounting seat is installed on the top of the movable seat 4, a visual monitoring module is embedded in the outer surface of the mounting seat, the visual monitoring module is used to monitor the status of the power distribution network equipment and its surrounding environment, and the pan-tilt motion module is used to control the horizontal and vertical rotation of the visual monitoring module;

[0011] The visual monitoring module includes a visible light camera, lidar, infrared thermal imager, inertial sensor and obstacle avoidance sensor installed on top of the mount.

[0012] Preferably, the visible light camera uses visible light imaging technology to achieve the functions of distribution network equipment status monitoring, safety hazard identification, equipment meter reading, and environmental monitoring and early warning through image recognition, image classification, and target detection algorithms;

[0013] The laser radar uses 3D laser radar scanning technology to achieve autonomous positioning and navigation of the patrol device and build 3D maps of the distribution network equipment and its surrounding environment through point cloud processing and real-time positioning and map building algorithms;

[0014] Infrared thermal imagers use infrared thermal imaging technology to achieve the functions of temperature monitoring, fault warning and diagnosis, environmental monitoring and auxiliary decision-making of distribution network equipment through temperature distribution calculation and abnormal temperature detection algorithm;

[0015] The inertial sensor uses inertial measurement technology to monitor the motion trajectory and attitude information of the patrol device through attitude estimation and motion trajectory calculation algorithms;

[0016] The obstacle avoidance sensor uses infrared sensing and ultrasonic sensing technology to monitor obstacles during the patrol process through distance measurement and obstacle detection algorithms.

[0017] Preferably, a collision protection module is installed on the outer side of the high-strength aluminum alloy body, and the collision protection module is used to protect the high-strength aluminum alloy body from damage caused by external impact and collision;

[0018] The collision protection module includes a flame retardant protective inner layer installed on the outside of a high-strength aluminum alloy body, a symmetrically arranged anti-collision buffer layer is installed on the outside of the flame retardant protective inner layer, and a fiberglass protective outer layer is installed on the outside of the anti-collision buffer layer;

[0019] Anti-collision strips are installed at the four outer corners of the high-strength aluminum alloy body;

[0020] The flame retardant protective inner layer is one of glass fiber reinforced polyamide, ceramic fiber and aluminum silicate fiber, the anti-collision buffer layer and the anti-collision strip are one of polyurethane foam, rubber and memory sponge respectively, and the fiberglass protective outer layer is one of fiberglass, carbon fiber reinforced plastic and aramid fiber reinforced plastic.

[0021] Preferably, a gas leakage detection module and an environmental monitoring module are embedded in the outer surface of the high-strength aluminum alloy body. The gas leakage detection module includes an SF6 sensor and a harmful gas sensor. The SF6 sensor and the harmful gas sensor are respectively used to detect the leakage of SF6 gas and the concentration of harmful gases in the distribution network equipment. The environmental monitoring module includes a temperature sensor, a humidity sensor and a smoke sensor. The temperature sensor, the humidity sensor and the smoke sensor are used to monitor the temperature, ambient humidity and smoke concentration of the distribution network equipment and its surrounding environment.

[0022] Preferably, a central processing unit, a storage device and a control module are installed inside the high-strength aluminum alloy body;

[0023] The central processing unit uses artificial intelligence technology to process data from the visual monitoring module, gas leak detection module and environmental monitoring module through data analysis, pattern recognition and prediction algorithms;

[0024] The storage device uses large-capacity storage technology and data compression and encryption algorithms to store raw data from the visual monitoring module, gas leak detection module and environmental monitoring module, processed data, and log information of the patrol device;

[0025] The control module uses embedded systems and automatic control technology to achieve the functions of autonomous movement and data collection of the patrol device through motion control algorithms and path planning algorithms.

[0026] Preferably, symmetrically arranged moving wheels are installed at the bottom of the bottom plate of the patrol device, and the moving wheels are driven by an electric motor.

[0027] Preferably, a battery cabinet is installed on the top of the high-strength aluminum alloy body, and the battery cabinet is located on one side of the fixing seat. A support frame is installed on the top of the battery cabinet, and a photovoltaic panel is installed on the top of the support frame.

[0028] Preferably, symmetrically arranged pillars are installed on the top of the high-strength aluminum alloy body, and the pillars are located on one side of the battery cabinet, and auxiliary movement handles are installed on the top of the pillars.

[0029] Preferably, the inspection method is as follows:

[0030] S1. The distribution network operation and maintenance inspection device performs autonomous movement and positioning;

[0031] S2. Collect and analyze data on distribution network equipment;

[0032] S3. Store the original data and analysis data, and generate a patrol report based on the analysis results.

[0033] Preferably, in S1, the following steps are also included:

[0034] S11. The patrol device uses laser radar for autonomous positioning. The laser radar obtains three-dimensional information of the surrounding environment through 3D scanning technology and matches it with the pre-stored map data to determine the current position of the patrol device. On this basis, the control module plans the optimal moving path according to the patrol route and controls the moving wheels to move autonomously;

[0035] S12, the output end of the electric telescopic rod of the pan / tilt motion module is connected to the movable seat 1. When the electric telescopic rod is extended or shortened, it will drive the movable seat 1 and its connected connecting rod and mounting seat to move up and down, thereby adjusting the height of the visual monitoring module;

[0036] S13. When horizontal rotation is required, the movable seat 2 drives the movable seat 3 and its subsequent structure to rotate in the horizontal plane through the L-shaped connecting rod. When vertical rotation is required, the movable seat 3 drives the movable seat 4 and the mounting seat thereon to rotate in the vertical direction through the linear connecting rod 2.

[0037] Compared with the prior art, the present invention has the following beneficial effects:

[0038] 1. The present invention is equipped with a pan-tilt motion module, which adjusts the height of the entire visual monitoring module through the telescopic function of the electric telescopic rod. The output end of the electric telescopic rod is connected to the movable seat 1. Therefore, when the electric telescopic rod is extended or shortened, it will drive the movable seat 1 and its subsequent connecting rod and mounting seat to move up and down, thereby realizing the adjustment of the height of the visual monitoring module. Secondly, when it is necessary to adjust the horizontal and vertical rotation angles of the visual monitoring module, the pan-tilt motion module will use the movable seat 1, the linear connecting rod 1, the movable seat 2, the L-shaped connecting rod, the movable seat 3, the linear connecting rod 2 and the movable seat 4. The connecting rod mechanism moves, and this connecting rod mechanism realizes the rotation of the mounting seat and the visual monitoring module thereon in the horizontal and vertical directions through the relative movement of each movable seat and the connecting rod. Specifically, when horizontal rotation is required, the movable seat 2 can drive the movable seat 3 and its subsequent structure to rotate in the horizontal plane through the L-shaped connecting rod. This rotation is achieved through the relative movement inside the connecting rod mechanism, so that the visual monitoring module can cover a wider patrol area. Similarly, when vertical rotation is required, the movable seat 3 can drive the movable seat 4 and the mounting seat thereon to rotate in the vertical direction through the linear connecting rod 2. This rotation enables the visual monitoring module to observe the distribution network equipment and its surrounding environment at different heights. During the entire patrol process, the pan-tilt motion module will realize the precise adjustment of the position and angle of the visual monitoring module by controlling the telescopic movement of the electric telescopic rod and the relative movement of the connecting rod mechanism according to the preset patrol route and monitoring task. In this way, the patrol device can monitor the distribution network equipment and its surrounding environment at the best observation angle and position, ensuring the accuracy and efficiency of the patrol task, so as to solve the problem of how to improve the monitoring range and flexibility, adapt to complex terrain and monitoring needs, and improve the efficiency and accuracy of operation and maintenance.

[0039] 2. The present invention is equipped with a visual monitoring module. Through a visible light camera, combined with image recognition, classification and detection algorithms, it can automatically identify the status, safety hazards and meter readings of distribution network equipment, reduce manual intervention, and improve the automation and intelligence of patrols. The application of lidar enables the patrol device to autonomously locate and navigate, build a 3D map, and further enhance the accuracy and efficiency of patrols. The infrared thermal imager can monitor the temperature distribution of distribution network equipment in real time. Through the abnormal temperature detection algorithm, it can timely discover potential faults such as equipment overheating, improve the accuracy and timeliness of fault warning, and combine the data of visible light camera and infrared thermal imager to comprehensively analyze the equipment status and provide more comprehensive fault diagnosis information. The integration of inertial sensors and obstacle avoidance sensors enables the patrol device to monitor its own motion trajectory and posture in real time. The system can effectively avoid obstacles when patrolling, ensuring the safety and continuity of the patrol process. The autonomous navigation and obstacle avoidance functions reduce the risk of operation and maintenance personnel entering dangerous areas and improve the overall efficiency of operation and maintenance work. At the same time, visible light cameras and infrared thermal imagers can also be used for environmental monitoring to monitor environmental changes around distribution network equipment, including temperature, humidity, and light, etc., to provide auxiliary information for operation and maintenance decisions. Combined with the 3D map constructed by lidar, it can achieve comprehensive visualization of distribution network equipment and its surrounding environment, which is convenient for operation and maintenance personnel to remotely monitor and make decisions. The present invention integrates a variety of sensors and technologies, can cope with operation and maintenance needs under different weather, light and terrain conditions, and improves the adaptability and flexibility of the patrol device. Therefore, it can solve the problem of how to improve the intelligence level of operation and maintenance patrols, enhance fault warning and diagnosis capabilities, and improve operation and maintenance safety.

[0040] 3. The present invention is equipped with a collision protection module, which can protect the high-strength aluminum alloy body from external impact and collision damage, thereby ensuring the overall structural integrity and functional stability of the patrol device, reducing the risk of damage to the device due to accidental collision during operation and maintenance, and improving the safety of operation and maintenance work. The multi-layer protection structure of the flame-retardant protective inner layer, the anti-collision buffer layer and the glass fiber reinforced plastic protective outer layer, as well as the anti-collision strips at the four corners of the outer side of the high-strength aluminum alloy body, together constitute a powerful protection system, so that the patrol device can maintain a long service life when facing various complex environments and potential impacts, reducing the maintenance and replacement costs caused by damage. The operation and maintenance of the distribution network usually requires various complex The patrol device is carried out in complex environments, including urban streets, rural fields and mountainous areas. There are various potential collision risks in these environments, such as branches, stones and buildings. The design of the collision protection module enables the patrol device to better adapt to these harsh environments and reduces equipment damage caused by environmental factors. By improving the safety and durability of the device, the collision protection module enables the patrol device to maintain normal operation for a longer period of time, thereby improving the efficiency of operation and maintenance work. Operation and maintenance personnel can focus more on monitoring and analysis work without having to worry about equipment damage or maintenance problems frequently. Therefore, it can solve the problem of how to improve the safety, durability and adaptability of operation and maintenance devices, reduce operation and maintenance costs and improve operation and maintenance efficiency.

[0041] 4. The present invention is equipped with a gas leakage detection module and an environmental monitoring module. The gas leakage detection module can monitor the leakage of SF6 gas and the concentration of harmful gases in the distribution network equipment in real time, discover potential safety hazards in time, and prevent safety accidents such as fire and explosion caused by gas leakage. The environmental monitoring module monitors the temperature, humidity and smoke concentration of the distribution network equipment and its surrounding environment, which helps to prevent equipment failure or damage caused by environmental factors and improve the safety and reliability of operation and maintenance work. The central processing unit uses artificial intelligence technology to efficiently process data from the visual monitoring module, gas leakage detection module and environmental monitoring module through data analysis, pattern recognition and prediction algorithms to realize intelligent operation and maintenance management. The storage device uses Large-capacity storage technology ensures the integrity and security of raw data, processed data, and log information of patrol devices, providing reliable data support for operation and maintenance decisions. The control module uses embedded systems and automatic control technology to realize autonomous movement and data collection of patrol devices, reducing manual intervention and improving the automation level of operation and maintenance work. Intelligent and automated operation and maintenance management methods enable operation and maintenance personnel to respond to equipment failures or abnormal conditions more quickly and improve operation and maintenance efficiency. Real-time monitoring and data analysis functions enable operation and maintenance personnel to more accurately evaluate equipment status, predict potential failures, and formulate targeted operation and maintenance strategies. Therefore, it can solve the problem of how to achieve comprehensive, real-time monitoring and intelligent operation and maintenance management of distribution network equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a schematic diagram of the overall structure of the present invention;

[0043] Figure 2 It is a side structural schematic diagram of the present invention;

[0044] Figure 3 It is a front structural schematic diagram of the present invention;

[0045] Figure 4 For the present invention Figure 2 The enlarged structural diagram at A in the middle;

[0046] Figure 5 It is the work flow chart of the present invention.

[0047] In the figure: 1. bottom plate of patrol device; 2. fixed seat; 3. electric telescopic rod; 4. movable seat 1; 5. linear connecting rod 1; 6. movable seat 2; 7. L-shaped connecting rod; 8. movable seat 3; 9. linear connecting rod 2; 10. movable seat 4; 11. mounting seat; 12. high-strength aluminum alloy body; 13. flame-retardant protective inner layer; 14. anti-collision buffer layer; 15. fiberglass protective outer layer; 16. anti-collision strip; 17. moving wheel; 18. battery cabinet; 19. support frame; 20. photovoltaic panel; 21. pillar; 22. auxiliary moving handle. DETAILED DESCRIPTION

[0048] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0049] In the description of the present invention, it should be noted that the terms "upper", "lower", "inner", "outer", "front end", "rear end", "two ends", "one end", "the other end" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance.

[0050] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "provided with", "connected", etc. should be understood in a broad sense. For example, "connected" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0051] See also Figure 1 , Figure 2 , Figure 3 , Figure 4 and Figure 5 , the present invention provides an embodiment: an artificial intelligence-based distribution network operation and maintenance inspection device, comprising an inspection device bottom plate 1, a high-strength aluminum alloy body 12 is installed on the top of the inspection device bottom plate 1, a fixing seat 2 is installed on the top of the high-strength aluminum alloy body 12, an electric telescopic rod 3 is installed on the top of the fixing seat 2, and a pan-tilt motion module is installed on the output end of the electric telescopic rod 3;

[0052] The pan-tilt motion module includes a movable seat 4 installed at the output end of the electric telescopic rod 3, a linear connecting rod 1 5 is installed on one side of the movable seat 4, a movable seat 2 6 is installed on one end of the linear connecting rod 1 5, an L-shaped connecting rod 7 is installed on the front of the movable seat 2 6, a movable seat 3 8 is installed on the top of the L-shaped connecting rod 7, a linear connecting rod 2 9 is installed on the back of the movable seat 3 8, a movable seat 4 10 is installed at one end of the linear connecting rod 2 9, a mounting seat 11 is installed on the top of the movable seat 4 10, and a visual monitoring module is embedded in the outer surface of the mounting seat 11. The visual monitoring module is used to monitor the status of the distribution network equipment and its surrounding environment, and the pan-tilt motion module is used to control the horizontal and vertical rotation of the visual monitoring module.

[0053] Furthermore, the pan-tilt motion module adjusts the height of the entire visual monitoring module through the telescopic function of the electric telescopic rod 3. The output end of the electric telescopic rod 3 is connected to the movable seat 4. Therefore, when the electric telescopic rod 3 is extended or shortened, it will drive the movable seat 4 and its subsequently connected connecting rod and mounting seat 11 to move up and down, thereby realizing the adjustment of the height of the visual monitoring module.

[0054] Secondly, when it is necessary to adjust the horizontal and vertical rotation angles of the visual monitoring module, the pan-tilt motion module will move using a linkage mechanism consisting of a movable seat 4, a linear link 5, a movable seat 6, an L-shaped link 7, a movable seat 3 8, a linear link 2 9 and a movable seat 4 10. This linkage mechanism realizes the horizontal and vertical rotation of the mounting seat 11 and the visual monitoring module thereon through the relative movement of the movable seats and the links.

[0055] Specifically, when horizontal rotation is required, the movable seat 2 6 can drive the movable seat 3 8 and its subsequent structure to rotate on the horizontal plane through the L-shaped connecting rod 7. This rotation is achieved through relative movement inside the connecting rod mechanism, so that the visual monitoring module can cover a wider patrol area.

[0056] Similarly, when vertical rotation is required, the movable seat three 8 can drive the movable seat four 10 and the mounting seat 11 thereon to rotate in the vertical direction through the linear connecting rod two 9. This rotation enables the visual monitoring module to observe the distribution network equipment and its surrounding environment at different heights.

[0057] During the entire inspection process, the pan-tilt motion module will accurately adjust the position and angle of the visual monitoring module by controlling the extension and retraction of the electric telescopic rod 3 and the relative movement of the connecting rod mechanism according to the preset inspection route and monitoring tasks. The inspection device can monitor the distribution network equipment and its surrounding environment at the best observation angle and position, ensuring the accuracy and efficiency of the inspection task.

[0058] See also Figure 1 , Figure 2 , Figure 3 , Figure 4 and Figure 5 , an embodiment provided by the present invention: an artificial intelligence-based distribution network operation and maintenance inspection device, the visual monitoring module includes a visible light camera, a laser radar, an infrared thermal imager, an inertial sensor and an obstacle avoidance sensor installed on the top of the mounting seat 11;

[0059] Visible light cameras use visible light imaging technology to achieve the functions of distribution network equipment status monitoring, safety hazard identification, equipment meter reading, and environmental monitoring and early warning through image recognition, image classification, and target detection algorithms;

[0060] LiDAR uses 3D LiDAR scanning technology to achieve autonomous positioning and navigation of patrol devices and build 3D maps of distribution network equipment and its surrounding environment through point cloud processing and real-time positioning and map building algorithms;

[0061] Infrared thermal imagers use infrared thermal imaging technology to achieve the functions of temperature monitoring, fault warning and diagnosis, environmental monitoring and auxiliary decision-making of distribution network equipment through temperature distribution calculation and abnormal temperature detection algorithm;

[0062] The inertial sensor uses inertial measurement technology to monitor the motion trajectory and attitude information of the patrol device through attitude estimation and motion trajectory calculation algorithms;

[0063] The obstacle avoidance sensor uses infrared sensing and ultrasonic sensing technology to monitor obstacles during the patrol process through distance measurement and obstacle detection algorithms.

[0064] Furthermore, visible light imaging technology uses image recognition algorithms to monitor the appearance and connection status of equipment in real time, and promptly detects problems such as equipment aging and damage. It uses image classification and target detection algorithms to identify potential safety hazards, including exposed lines and hanging foreign objects. Through image processing and character recognition technology, it automatically reads the readings of equipment such as electricity meters and ammeters, improving the efficiency and accuracy of data collection. At the same time, it monitors environmental changes around distribution network equipment, including vegetation growth and water accumulation, and issues early warning information in a timely manner.

[0065] LiDAR uses 3D LiDAR scanning technology combined with real-time positioning and map building algorithms to achieve autonomous navigation of the patrol device, reduce human intervention, and build a 3D map of the distribution network equipment and its surrounding environment through point cloud processing, providing intuitive on-site information for operation and maintenance personnel.

[0066] Infrared thermal imagers use infrared thermal imaging technology to monitor the temperature distribution on the surface of equipment in real time, detect problems such as overheating and temperature abnormalities, prevent equipment failures, and combine abnormal temperature detection algorithms to warn and diagnose temperature abnormalities, and provide fault location and repair suggestions.

[0067] The inertial sensor records the motion trajectory of the patrol device in real time through inertial measurement technology to ensure the accuracy and completeness of the patrol path, and monitors the posture changes of the patrol device, including tilt and rotation, to provide a basis for posture adjustment and stability control.

[0068] The obstacle avoidance sensor uses infrared sensing and ultrasonic sensing technology to monitor obstacles in front and on the sides in real time during the patrol process to avoid collisions. It can also accurately measure the distance between the patrol device and obstacles, providing a basis for the formulation of obstacle avoidance strategies.

[0069] See also Figure 4 , an embodiment provided by the present invention: an artificial intelligence-based distribution network operation and maintenance inspection device, wherein a collision protection module is installed on the outer side of the high-strength aluminum alloy body 12, and the collision protection module is used to protect the high-strength aluminum alloy body 12 from external impact and collision damage;

[0070] The collision protection module includes a flame retardant protective inner layer 13 installed on the outside of a high-strength aluminum alloy body 12, a symmetrically arranged anti-collision buffer layer 14 is installed on the outside of the flame retardant protective inner layer 13, and a glass fiber reinforced plastic protective outer layer 15 is installed on the outside of the anti-collision buffer layer 14;

[0071] Anti-collision strips 16 are installed at the four outer corners of the high-strength aluminum alloy body 12;

[0072] The flame retardant protective inner layer 13 is one of glass fiber reinforced polyamide, ceramic fiber and aluminum silicate fiber, the anti-collision buffer layer 14 and the anti-collision strip 16 are one of polyurethane foam, rubber and memory sponge respectively, and the fiberglass protective outer layer 15 is one of fiberglass, carbon fiber reinforced plastic and aramid fiber reinforced plastic.

[0073] Furthermore, the high-strength aluminum alloy body 12 is the core structure of the patrol device. The high-strength aluminum alloy body 12 not only provides sufficient mechanical strength, but also ensures the lightweight of the patrol device, which is easy to move and deploy. The flame-retardant protective inner layer 13 is installed on the outside of the high-strength aluminum alloy body 12. The function of the flame-retardant protective inner layer 13 is to prevent the fire caused by external fire source or high temperature from damaging the inside of the device. The flame-retardant material is used to effectively isolate heat and flames, and protect the safety of the internal circuits and components of the high-strength aluminum alloy body 12.

[0074] The anti-collision buffer layer 14 is symmetrically arranged on the outside of the flame-retardant protective inner layer 13. The anti-collision buffer layer 14 is made of a material with high elasticity and high toughness, which can absorb and disperse external impact energy, reduce the damage of the collision to the high-strength aluminum alloy body 12, and improve the impact resistance of the device. The fiberglass protective outer layer 15 is installed on the outside of the anti-collision buffer layer 14. The fiberglass protective outer layer 15 not only has high strength and hardness, but also has good corrosion resistance and weather resistance. It can resist damage such as scratches and impacts from external objects, and further protect the internal structure and components.

[0075] The anti-collision strips 16 are installed at the four outer corners of the high-strength aluminum alloy body 12. The anti-collision strips 16 are made of highly elastic material and can provide additional buffering and protection when the patrol device is hit from the side or corner, thereby reducing damage to the device caused by the impact.

[0076] Through the combination of the flame-retardant protective inner layer 13, the anti-collision buffer layer 14 and the fiberglass protective outer layer 15, a multiple protection mechanism is formed, which greatly improves the impact resistance, fire resistance and corrosion resistance of the device. The application of high-strength aluminum alloy main body 12 and lightweight materials ensures that the device can maintain a relatively light weight while having strong protection capabilities, which is convenient for movement and deployment. The use of the fiberglass protective outer layer 15 and the anti-collision strip 16 enhances the durability of the device and extends its service life. The comprehensive collision protection design effectively reduces the risk of damage to the device due to external factors during operation and maintenance, and improves the safety of operation and maintenance work.

[0077] Glass fiber reinforced polyamide combines the high strength of glass fiber with the wear and corrosion resistance of polyamide, and also has good flame retardant properties, which can effectively prevent the spread of fire and protect internal electronic components from high temperature damage; ceramic fiber has excellent high temperature resistance, oxidation resistance and heat insulation properties, can maintain structural stability in high temperature environments, and is suitable for protection under extreme temperature conditions; aluminum silicate fiber also has excellent high temperature resistance, heat insulation and flame retardant properties, and has low density and light weight, making it suitable for collision protection modules that require lightweight design.

[0078] Polyurethane foam has excellent shock absorption and resilience, can effectively absorb and disperse external impact force and protect the internal structure from damage; rubber material has good elasticity and wear resistance, can resist external impact and friction, and has certain sound insulation and heat insulation effects; memory foam has unique slow rebound characteristics, can adaptively deform according to the size and shape of external impact force, and provide better cushioning effect.

[0079] FRP is a lightweight, high-strength composite material composed of glass fiber and resin matrix. It has excellent corrosion resistance, wear resistance and impact resistance, and is suitable for application scenarios requiring high protection and durability; carbon fiber reinforced plastic has extremely high strength and stiffness, and is extremely light in weight, and is suitable for collision protection modules that require high strength and lightweight design; aramid fiber reinforced plastic also has high strength, high modulus and good wear resistance, as well as good flame retardant and high temperature resistance, and is suitable for occasions requiring comprehensive protective performance.

[0080] See also Figure 1 , Figure 2 and Figure 3 An embodiment of the present invention is: an artificial intelligence-based distribution network operation and maintenance patrol device, wherein a gas leakage detection module and an environmental monitoring module are embedded in the outer surface of the high-strength aluminum alloy body 12, the gas leakage detection module includes an SF6 sensor and a harmful gas sensor, the SF6 sensor and the harmful gas sensor are respectively used to detect the leakage of SF6 gas and the concentration of harmful gases in the distribution network equipment, the environmental monitoring module includes a temperature sensor, a humidity sensor and a smoke sensor, the temperature sensor, the humidity sensor and the smoke sensor are used to monitor the temperature, ambient humidity and smoke concentration of the distribution network equipment and its surrounding environment.

[0081] Furthermore, in addition to detecting SF6 gas leakage, the SF6 sensor also integrates the SF6 gas concentration monitoring function, which records and analyzes the concentration changes of SF6 gas in real time to predict whether there is insulation degradation or potential faults inside the distribution network equipment; the harmful gas sensor can detect the concentration of harmful gases, integrate gas recognition algorithms, automatically identify and distinguish the types and concentrations of different harmful gases, and provide more accurate fault information for operation and maintenance personnel.

[0082] Temperature sensor: It can monitor and record the temperature changes of the equipment and its surrounding environment in real time, provide data support for equipment failure warning and energy efficiency management, and analyze the temperature gradient distribution inside the equipment through multi-point temperature measurement to find potential hot spots or abnormal temperature areas.

[0083] The humidity sensor monitors the ambient humidity in real time and issues an early warning when the humidity exceeds the set threshold to prevent equipment failure or corrosion due to excessive humidity. It also records and analyzes the changing trend of ambient humidity to provide a scientific basis for equipment maintenance.

[0084] The smoke sensor uses a highly sensitive smoke sensor that can respond quickly and issue an early warning in the early stages of a fire, providing valuable time for timely extinguishing of the fire. It is linked to the fire protection system. When the smoke sensor detects a fire signal, it automatically triggers the fire protection system to perform fire extinguishing operations.

[0085] The data from the gas leak detection module and the environmental monitoring module are integrated and analyzed, and the correlation and regularity between the data are mined through artificial intelligence algorithms to provide more accurate equipment status assessment and fault prediction for operation and maintenance personnel. The monitoring data is uploaded to the remote monitoring center in real time to realize the remote monitoring and alarm functions of the equipment. When abnormal data is detected, the alarm mechanism is automatically triggered to remind the operation and maintenance personnel to take timely measures.

[0086] See also Figure 1 , Figure 2 and Figure 3 , an embodiment provided by the present invention: an artificial intelligence-based distribution network operation and maintenance inspection device, wherein a central processing unit, a storage device and a control module are installed inside the high-strength aluminum alloy body 12;

[0087] The central processing unit uses artificial intelligence technology to process data from the visual monitoring module, gas leak detection module and environmental monitoring module through data analysis, pattern recognition and prediction algorithms;

[0088] The storage device uses large-capacity storage technology and data compression and encryption algorithms to store raw data from the visual monitoring module, gas leak detection module and environmental monitoring module, processed data, and log information of the patrol device;

[0089] The control module uses embedded systems and automatic control technology to achieve the functions of autonomous movement and data collection of the patrol device through motion control algorithms and path planning algorithms.

[0090] Furthermore, the central processing unit uses deep learning algorithms to perform image recognition on visual monitoring data to more accurately detect equipment status, and uses time series analysis algorithms to process environmental monitoring data to predict future environmental changes. At the same time, edge computing capabilities are integrated on the patrol device to achieve real-time processing and analysis of data, reduce dependence on remote servers, and improve the response speed and reliability of the system. Edge computing can also reduce data transmission delays and bandwidth requirements, and improve the real-time nature of data processing.

[0091] The data from the visual monitoring module, gas leakage detection module and environmental monitoring module are fused and processed to obtain more comprehensive and accurate equipment status and environmental information. Multi-source data fusion can improve the accuracy of fault detection and the timeliness of early warning.

[0092] Use data deduplication, compression and distributed storage to improve storage efficiency and capacity utilization. At the same time, optimize the storage structure to ensure fast access and recovery of data, strengthen data encryption processing, ensure data confidentiality and integrity, establish a data backup mechanism, regularly back up important data to prevent data loss or damage, and establish a data lifecycle management system, including data creation, storage, use, archiving and destruction stages, to ensure data compliance and traceability.

[0093] The high-precision positioning of the patrol device is achieved by combining GPS, Beidou and other satellite navigation systems with inertial navigation systems. At the same time, the positioning accuracy in indoor or complex environments is improved by using visual real-time positioning and map construction technology. Combined with the layout of the distribution network and the needs of the patrol task, the intelligent path planning algorithm is used to achieve the optimal path planning of the patrol device. At the same time, according to the real-time traffic conditions and obstacle information, the path planning is dynamically adjusted to ensure the smooth progress of the patrol task. By real-time monitoring and analysis of environmental information, the moving speed and direction are adjusted to avoid collisions with obstacles.

[0094] See also Figure 1 , Figure 2 and Figure 3 The present invention provides an embodiment: an artificial intelligence-based distribution network operation and maintenance inspection device, wherein symmetrically arranged moving wheels 17 are installed at the bottom of the bottom plate 1 of the inspection device, and the moving wheels 17 are driven by an electric motor.

[0095] A battery cabinet 18 is installed on the top of the high-strength aluminum alloy body 12 , and the battery cabinet 18 is located on one side of the fixing seat 2 . A support frame 19 is installed on the top of the battery cabinet 18 , and a photovoltaic panel 20 is installed on the top of the support frame 19 .

[0096] The top of the high-strength aluminum alloy body 12 is equipped with symmetrically arranged pillars 21 , and the pillars 21 are located on one side of the battery cabinet 18 , and the top of the pillars 21 is equipped with an auxiliary movement handle 22 .

[0097] Furthermore, the symmetrically arranged moving wheels 17 ensure the stability and balance of the patrol device during movement. The electric motor serves as a driving force, allowing the patrol device to move autonomously without manual push, thereby improving patrol efficiency. The electric motor drive not only provides sufficient power, but also can achieve precise movement and steering of the patrol device by controlling the speed and direction of the motor.

[0098] The battery cabinet 18 serves as the energy reserve of the patrol device, providing a continuous power supply for the electric motor, sensor and central processor, etc. The photovoltaic panel 20 installed on the top of the support frame 19 can be charged by solar energy, providing green and sustainable energy for the battery cabinet 18, which not only reduces the dependence on traditional energy, but also reduces the operating cost. The patrol device also integrates an energy management system to monitor the battery power and the charging efficiency of the photovoltaic panel 20 in real time, optimize energy distribution and use, and ensure the smooth progress of the patrol mission.

[0099] The support column 21 serves as a supporting structure to ensure the stability and reliability of the auxiliary movable handle 22. The auxiliary movable handle 22 is also integrated with an emergency stop button and a status indicator light to improve the operating convenience and safety of the operation and maintenance personnel.

[0100] Further, the inspection method is as follows:

[0101] S1. The distribution network operation and maintenance inspection device performs autonomous movement and positioning;

[0102] S2. Collect and analyze data on distribution network equipment;

[0103] S3. Store the original data and analysis data, and generate a patrol report based on the analysis results.

[0104] Furthermore, in S1, the following steps are also included:

[0105] S11, the patrol device uses laser radar for autonomous positioning. The laser radar obtains three-dimensional information of the surrounding environment through 3D scanning technology and matches it with the pre-stored map data to determine the current position of the patrol device. On this basis, the control module plans the optimal moving path according to the patrol route and controls the moving wheel 17 to move autonomously;

[0106] S12, the output end of the electric telescopic rod 3 of the pan / tilt motion module is connected to the movable seat 1 4. When the electric telescopic rod 3 is extended or shortened, it will drive the movable seat 1 4 and its connected connecting rod and mounting seat 11 to move up and down, thereby adjusting the height of the visual monitoring module;

[0107] S13. When horizontal rotation is required, the movable seat 2 6 drives the movable seat 3 8 and its subsequent structure to rotate in the horizontal plane through the L-shaped connecting rod 7. When vertical rotation is required, the movable seat 3 8 drives the movable seat 4 10 and the mounting seat 11 thereon to rotate in the vertical direction through the linear connecting rod 2 9.

[0108] Working principle: Through the visual monitoring module, gas leakage detection module and environmental monitoring module, the patrol device begins to perceive the surrounding environment, including terrain, obstacles, temperature, humidity and smoke concentration. Using the 3D scanning technology of the lidar, the device obtains three-dimensional information of the surrounding environment and matches it with the pre-stored map data to determine the current position. The control module plans the optimal movement path according to the patrol route and the current position. By controlling the electric motor of the moving wheel 17, the device moves autonomously according to the planned path. During the movement, the obstacle avoidance sensor monitors obstacles in real time to ensure the safe driving of the device.

[0109] Visible light cameras use image recognition, image classification and target detection algorithms to monitor the status of distribution network equipment, safety hazards and equipment meter readings. Infrared thermal imagers monitor equipment temperature and warn of faults through temperature distribution calculation and abnormal temperature detection algorithms. SF6 sensors and harmful gas sensors monitor SF6 gas leakage and harmful gas concentration in distribution network equipment, and warn of potential dangers. Temperature sensors, humidity sensors and smoke sensors monitor ambient temperature, humidity and smoke concentration to provide data support for operation and maintenance decisions.

[0110] The central processing unit uses artificial intelligence technology to perform data analysis, pattern recognition and prediction on the collected data, and generates information such as equipment status reports and safety hazard warnings. The data storage device uses large-capacity storage technology to store original data, processed data and log information of patrol devices through data compression and encryption algorithms.

[0111] Based on the data analysis results, the central processor generates a detailed inspection report, including information such as equipment status, safety hazards and environmental monitoring results. The inspection report is sent wirelessly to the operation and maintenance personnel or stored inside the device for subsequent review and analysis.

[0112] When it is necessary to manually move or adjust the position of the device, the operation and maintenance personnel can operate it through the auxiliary moving handle 22. The collision protection module on the outside of the high-strength aluminum alloy body 12 can protect the device from external impact and collision damage, improve the durability and safety of the device, and the battery cabinet 18 and photovoltaic panel 20 provide a continuous power supply for the device to ensure the smooth progress of the patrol mission. At the same time, the energy management system monitors the power and charging efficiency in real time to optimize energy distribution and use.

[0113] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A distribution network operation and maintenance inspection device based on artificial intelligence, comprising an inspection device bottom plate (1), characterized in that: A high-strength aluminum alloy body (12) is installed on the top of the patrol device bottom plate (1), a fixing seat (2) is installed on the top of the high-strength aluminum alloy body (12), an electric telescopic rod (3) is installed on the top of the fixing seat (2), and a pan / tilt motion module is installed on the output end of the electric telescopic rod (3); The pan-tilt motion module comprises a movable seat 1 (4) installed at the output end of an electric telescopic rod (3), a linear connecting rod 1 (5) installed on one side of the movable seat 1 (4), a movable seat 2 (6) installed on one end of the linear connecting rod 1 (5), an L-shaped connecting rod (7) installed on the front of the movable seat 2 (6), a movable seat 3 (8) installed on the top of the L-shaped connecting rod (7), a linear connecting rod 2 (9) installed on the back of the movable seat 3 (8), a movable seat 4 (10) installed on one end of the linear connecting rod 2 (9), a mounting seat (11) installed on the top of the movable seat 4 (10), a visual monitoring module embedded in the outer surface of the mounting seat (11), the visual monitoring module is used to monitor the status of the power distribution network equipment and its surrounding environment, and the pan-tilt motion module is used to control the horizontal and vertical rotation of the visual monitoring module; The visual monitoring module comprises a visible light camera, a laser radar, an infrared thermal imager, an inertial sensor and an obstacle avoidance sensor which are mounted on the top of a mounting seat (11).

2. According to the artificial intelligence-based distribution network operation and maintenance inspection device of claim 1, it is characterized by: Visible light cameras use visible light imaging technology to achieve the functions of distribution network equipment status monitoring, safety hazard identification, equipment meter reading, and environmental monitoring and early warning through image recognition, image classification, and target detection algorithms; LiDAR uses 3D LiDAR scanning technology to achieve autonomous positioning and navigation of patrol devices and build 3D maps of distribution network equipment and its surrounding environment through point cloud processing and real-time positioning and map building algorithms; Infrared thermal imagers use infrared thermal imaging technology to achieve the functions of temperature monitoring, fault warning and diagnosis, environmental monitoring and auxiliary decision-making of distribution network equipment through temperature distribution calculation and abnormal temperature detection algorithm; The inertial sensor uses inertial measurement technology to monitor the motion trajectory and attitude information of the patrol device through attitude estimation and motion trajectory calculation algorithms; The obstacle avoidance sensor uses infrared sensing and ultrasonic sensing technology to monitor obstacles during the patrol process through distance measurement and obstacle detection algorithms.

3. According to the artificial intelligence-based distribution network operation and maintenance inspection device of claim 1, it is characterized by: A collision protection module is installed on the outer side of the high-strength aluminum alloy body (12), and the collision protection module is used to protect the high-strength aluminum alloy body (12) from damage caused by external impact and collision; The collision protection module comprises a flame retardant protective inner layer (13) installed on the outside of a high-strength aluminum alloy body (12), a symmetrically arranged anti-collision buffer layer (14) is installed on the outside of the flame retardant protective inner layer (13), and a glass fiber reinforced plastic protective outer layer (15) is installed on the outside of the anti-collision buffer layer (14); Anti-collision strips (16) are installed at the four outer corners of the high-strength aluminum alloy body (12); The flame retardant protective inner layer (13) is one of glass fiber reinforced polyamide, ceramic fiber and aluminum silicate fiber, the anti-collision buffer layer (14) and the anti-collision strip (16) are one of polyurethane foam, rubber and memory sponge respectively, and the glass fiber reinforced plastic protective outer layer (15) is one of glass fiber reinforced plastic, carbon fiber reinforced plastic and aramid fiber reinforced plastic.

4. According to the artificial intelligence-based distribution network operation and maintenance inspection device of claim 1, it is characterized by: A gas leakage detection module and an environmental monitoring module are embedded in the outer surface of the high-strength aluminum alloy body (12). The gas leakage detection module comprises an SF6 sensor and a harmful gas sensor. The SF6 sensor and the harmful gas sensor are used to detect the leakage of SF6 gas and the concentration of harmful gas in the distribution network equipment, respectively. The environmental monitoring module comprises a temperature sensor, a humidity sensor and a smoke sensor. The temperature sensor, the humidity sensor and the smoke sensor are used to monitor the temperature, environmental humidity and smoke concentration of the distribution network equipment and its surrounding environment.

5. The distribution network operation and maintenance inspection device based on artificial intelligence according to claim 1 is characterized in that: A central processing unit, a storage device and a control module are installed inside the high-strength aluminum alloy body (12); The central processing unit uses artificial intelligence technology to process data from the visual monitoring module, gas leak detection module and environmental monitoring module through data analysis, pattern recognition and prediction algorithms; The storage device uses large-capacity storage technology and data compression and encryption algorithms to store raw data from the visual monitoring module, gas leak detection module and environmental monitoring module, processed data, and log information of the patrol device; The control module uses embedded systems and automatic control technology to achieve the functions of autonomous movement and data collection of the patrol device through motion control algorithms and path planning algorithms.

6. The distribution network operation and maintenance inspection device based on artificial intelligence according to claim 1 is characterized by: The bottom of the patrol device bottom plate (1) is provided with symmetrically arranged moving wheels (17), and the moving wheels (17) are driven by an electric motor.

7. The distribution network operation and maintenance inspection device based on artificial intelligence according to claim 1 is characterized in that: A battery cabinet (18) is installed on the top of the high-strength aluminum alloy body (12), and the battery cabinet (18) is located on one side of the fixing seat (2). A support frame (19) is installed on the top of the battery cabinet (18), and a photovoltaic panel (20) is installed on the top of the support frame (19).

8. The distribution network operation and maintenance inspection device based on artificial intelligence according to claim 1 is characterized by: The top of the high-strength aluminum alloy body (12) is equipped with symmetrically arranged pillars (21), and the pillars (21) are located on one side of the battery cabinet (18). An auxiliary movement handle (22) is installed on the top of the pillars (21).

9. A patrol method for a distribution network operation and maintenance patrol device based on artificial intelligence according to any one of claims 1 to 6, characterized in that: The inspection method is as follows: S1. The distribution network operation and maintenance inspection device performs autonomous movement and positioning; S2. Collect and analyze data on distribution network equipment; S3. Store the original data and analysis data, and generate a patrol report based on the analysis results.

10. The patrol method of the distribution network operation and maintenance patrol device based on artificial intelligence according to claim 9, characterized in that: In S1, the following steps are also included: S11, the patrol device uses laser radar for autonomous positioning. The laser radar obtains three-dimensional information of the surrounding environment through 3D scanning technology and matches it with pre-stored map data to determine the current position of the patrol device. On this basis, the control module plans the optimal movement path according to the patrol route and controls the moving wheel (17) to move autonomously; S12, the output end of the electric telescopic rod (3) of the pan / tilt motion module is connected to the movable seat 1 (4). When the electric telescopic rod (3) is extended or shortened, it will drive the movable seat 1 (4) and its connected connecting rod and mounting seat (11) to move up and down, thereby adjusting the height of the visual monitoring module; S13. When horizontal rotation is required, the movable seat 2 (6) drives the movable seat 3 (8) and its subsequent structures to rotate in the horizontal plane through the L-shaped connecting rod (7). When vertical rotation is required, the movable seat 3 (8) drives the movable seat 4 (10) and the mounting seat (11) thereon to rotate in the vertical direction through the linear connecting rod 2 (9).

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