CN113753154B - Transformer substation intelligent inspection system based on 5G and artificial intelligence - Google Patents

Abstract

A transformer substation intelligent inspection system based on 5G and artificial intelligence comprises a base, an adjusting bracket and an unmanned aerial vehicle body; a base: the four corners of the bottom of the base are provided with steering units, the end parts of the steering units are provided with moving mechanisms, the middle part of the bottom end of the base is provided with a power supply, the top of the base is provided with a PLC (programmable logic controller), and the side surface of the PLC is provided with a 5G communication antenna; an adjusting frame: install at the top of base through horizontal adjustment regulating unit, this transformer substation intelligence system of patrolling and examining based on 5G and artificial intelligence can realize intellectual detection system and the early warning to the complicated defect of key equipment in the transformer substation, carries out intelligent abnormal examination and defect lookup to the substation equipment for the daily control and the operation of transformer substation are maintained, greatly reduce basic unit's operation and maintenance personnel work burden, provide effective guarantee for the steady operation of electric wire netting.

Description

A substation intelligent inspection system based on 5G and artificial intelligence

technical field

The invention relates to the technical field of intelligent inspection of substations, in particular to an intelligent inspection system of substations based on 5G and artificial intelligence.

Background technique

Although traditional video surveillance systems and intelligent inspection robots have developed relatively maturely, there is a lack of connection between inspection equipment. In the face of a large amount of inspection data, there is a lack of intelligent and efficient analysis and discrimination methods, which affects the accuracy of inspection results. In order to further ensure the safe production of substations, new automation and intelligent technologies must be introduced to solve this problem;

With the development of 5G technology, various industries are actively exploring and expanding related applications. The construction of 5G base stations of State Grid Corporation of China is also proceeding in an orderly manner, promoting the construction of 5G in smart grid and energy Internet systems, and the transmission speed of 5G network communication technology. Fast, high transmission stability, can solve the problem of long transmission time or unstable transmission caused by complex working environment scenarios;

Through the development and application of the intelligent inspection system for substations based on 5G and artificial intelligence technology, intelligent detection and early warning of complex defects in key equipment in substations can be realized, and intelligent abnormal inspection and defect finding of substation equipment can be performed. Daily monitoring and operation and maintenance greatly reduce the workload of grass-roots operation and maintenance personnel and provide effective guarantee for the stable operation of the power grid;

To this end, we propose an intelligent inspection system for substations based on 5G and artificial intelligence.

SUMMARY OF THE INVENTION

The technical problem to be solved by the present invention is to overcome the existing defects and provide a substation intelligent inspection system based on 5G and artificial intelligence, which can realize intelligent detection and early warning of complex defects of key equipment in the substation, and intelligently perform intelligent inspection on the substation equipment. It is used for daily monitoring and operation and maintenance of substations, greatly reducing the workload of grass-roots operation and maintenance personnel, providing effective guarantee for the stable operation of the power grid, and can effectively solve the problems in the background technology.

In order to achieve the purpose of the invention, the present invention adopts the following technical solutions:

An intelligent inspection system for substations based on 5G and artificial intelligence, including a base, an adjustment frame and a drone body;

Base: A steering unit is installed at the four corners of the bottom, a moving mechanism is installed at the end of the steering unit, a power supply is installed in the middle of the bottom end of the base, a PLC controller is installed on the top of the base, and a 5G communication antenna is installed on the side of the PLC controller. ;

Adjustment frame: installed on the top of the base through a horizontal adjustment adjustment unit, the adjustment frame is connected with a swing arm through a rotating shaft, one end of the swing arm is installed with a pitch angle adjustment unit, and the other end of the swing arm is adjusted by a sliding mechanism. Active connection;

UAV body: a landing gear is fixed at the bottom, the landing gear is connected with the movable part of the sliding mechanism through a connecting mechanism, and an information acquisition unit and a positioning unit are respectively installed on the UAV body;

Among them, a fourth servo motor is also included. The fourth servo motor is installed on the side of the adjusting frame. A wire wheel is fixed on the output shaft of the fourth servo motor. The wire wheel is wound with a cable. The controller in the man-machine body is electrically connected, and the other end of the cable is electrically connected to the PLC controller through the electric slip ring, and the PLC controller is electrically connected to the 5G communication antenna, the fourth servo motor, the power supply and the unmanned aerial vehicle. The controller inside the machine body.

Further, the steering unit includes a first servo motor and a motor base, the first servo motor is installed at the bottom of the base, the motor base is fixed on the output shaft of the first servo motor, and the first servo motor is electrically connected to the PLC control. device.

Further, the moving mechanism includes a stepping motor and a moving wheel, the stepping motor is assembled on the motor base, the moving wheel is fixed on the output shaft of the stepping motor, and the stepping motor is electrically connected to the PLC controller.

Further, the leveling adjustment unit includes a second servo motor, a worm and a worm wheel, the second servo motor is installed on the top of the base, the worm wheel is rotatably connected to the top of the base, and the worm is fixed on the output shaft of the second servo motor. The adjusting frame is fixed on the top of the worm gear, and the second servo motor is electrically connected to the PLC controller.

Further, the pitch angle adjustment unit includes a third servo motor, a gear and a rack, the third servo motor is mounted on the end of the swing arm, the rack is fixed on the adjustment frame, and the gear is fixed on the third servo motor. The output shaft is engaged with the rack for transmission, and the third servo motor is electrically connected to the PLC controller.

Further, the sliding mechanism includes an arc-shaped sliding rail and a sliding seat, the arc-shaped sliding rail is fixed on the adjustment frame, the sliding seat is slidably connected to the arc-shaped sliding rail, and the sliding seat is fixed on the end of the swing arm.

Further, the connection mechanism includes an adsorption iron block and an electromagnet, the adsorption iron block is fixed on the bottom of the landing gear, the electromagnet is assembled on the sliding seat, the electromagnet is magnetically connected with the adsorption iron block, and the electromagnet is electrically Connect the PLC controller.

Further, the positioning unit includes a GPS locator and an infrared obstacle avoidance sensor, the infrared obstacle avoidance sensor is installed on the side of the drone body, the GPS locator is installed on the top of the drone body, the GPS locator and the infrared obstacle avoidance sensor are installed. The obstacle sensors are all electrically connected to the controller in the drone body.

Further, the information acquisition unit includes a thermal imaging camera, a multispectral imager and an industrial camera, and the thermal imaging camera, the multispectral imager and the industrial camera are all installed on the side of the drone body, and the thermal imaging camera, the multispectral imager and the industrial camera are installed on the side of the drone body. Both the imager and the industrial camera are electrically connected to the controller in the drone body.

Compared with the prior art, the beneficial effects of the present invention are: the intelligent inspection system for substations based on 5G and artificial intelligence has the following advantages:

1. Based on the precise positioning and real-time transmission of massive data based on 5G technology, 5G technology has the advantages of ultra-high bandwidth and extremely low latency. Using it on the inspection robot greatly improves the real-time and timeliness of inspection, and solves the problem of The existing network bandwidth is insufficient to cause video image frame loss and freeze, network delay and high communication problems. The application of 5G technology improves the inspection efficiency, ensures the efficient and stable operation of the unmanned inspection operation system, and contributes to the development of inspection robots. Provides a wider space.

2. The drone body drives the information collection unit to collect information in the area that needs to be detected, which is convenient for the drone body to perform inspection operations on some places that cannot be moved. It cooperates with the mobile mechanism and the drone body. , greatly improving the inspection capability of the inspection system.

3. The horizontal working angle of the information collection unit is adjusted by the horizontal adjustment and adjustment unit, and the pitching working angle of the information collection unit is adjusted through the pitch angle adjustment unit, which has strong adjustment ability and improves the information collection ability of the information collection unit.

4. It can realize intelligent detection and early warning of complex defects of key equipment in substations, intelligent abnormal inspection and defect search for substation equipment, and be used for daily monitoring and operation and maintenance of substations, greatly reducing the workload of grass-roots operation and maintenance personnel. , to provide an effective guarantee for the stable operation of the power grid.

Description of drawings

Fig. 1 is the three-dimensional structure schematic diagram of the present invention;

Fig. 2 is the bottom structure schematic diagram of the present invention;

3 is a schematic diagram of the partial structure of the angle adjustment of the present invention;

FIG. 4 is a schematic diagram of the partial structure of the drone body of the present invention.

In the picture: 1 base, 2 5G communication antenna, 3 PLC controller, 4 steering unit, 41 first servo motor, 42 motor base, 5 level adjustment unit, 51 second servo motor, 52 worm, 53 worm gear, 6 sliding Mechanism, 61 arc slide rail, 62 sliding seat, 7 connecting mechanism, 71 adsorption iron block, 72 electromagnet, 8 moving mechanism, 81 stepping motor, 82 moving wheel, 9 pitch angle adjustment unit, 91 third servo motor, 92 gears, 93 racks, 10 information acquisition units, 101 thermal imaging cameras, 102 multispectral imagers, 103 industrial cameras, 11 positioning units, 1101 GPS locators, 1102 infrared obstacle avoidance sensors, 12 cables, 13 wire wheels, 14 Fourth servo motor, 15 adjustment frame, 16 drone body, 17 landing gear, 18 power supply, 19 rotating shaft, 20 swing arm, 21 electric slip ring.

Detailed ways

The present invention can be explained in detail by the following examples, and the purpose of disclosing the present invention is to protect all technical improvements within the scope of the present invention.

1-4, this embodiment provides a technical solution: an intelligent inspection system for substations based on 5G and artificial intelligence, including a base 1, an adjustment frame 15 and a drone body 16;

Base 1: A steering unit 4 is installed at the four corners of the bottom, a moving mechanism 8 is installed at the end of the steering unit 4, a power supply 18 is installed in the middle of the bottom end of the base 1, a PLC controller 3 is installed on the top of the base 1, and the PLC controller 3 The side is equipped with 5G communication antenna 2;

The information processed by the PLC controller 3 is transmitted to the remote monitoring terminal through the 5G communication antenna 2. The 5G technology has the advantages of ultra-high bandwidth and extremely low latency. Using it on the inspection robot greatly improves the real-time and timeliness of inspection. It solves the communication problems of video image frame loss and high network delay caused by insufficient network bandwidth. The application of 5G technology improves the efficiency of inspection and ensures the efficient and stable operation of the unmanned inspection operation system. The development of inspection robots provides a broader space;

The inspection robots can be interconnected through the 5G communication antenna 2;

Adjustment frame 15: The adjustment frame 15 is installed on the top of the base 1 through the horizontal adjustment adjustment unit 5. The adjustment frame 15 is connected to the swing arm 20 through the rotation shaft 19. One end of the swing arm 20 is installed with the pitch angle adjustment unit 9, and the other end of the swing arm 20 is installed Actively connected with the adjusting frame 15 through the sliding mechanism 6;

UAV body 16: a landing gear 17 is fixed at the bottom, the landing gear 17 is connected with the movable part of the sliding mechanism 6 through the connecting mechanism 7, and an information acquisition unit 10 and a positioning unit 11 are respectively installed on the UAV body 16;

Among them, the fourth servo motor 14 is also included. The fourth servo motor 14 is installed on the side of the adjusting frame 15. The output shaft of the fourth servo motor 14 is fixed with a wire pulley 13. The wire pulley 13 is wound with a cable 12. The cable 12 One end of the cable 12 is electrically connected to the controller in the drone body 16, the other end of the cable 12 is electrically connected to the PLC controller 3 through the electric slip ring 21, and the PLC controller 3 is electrically connected to the 5G communication antenna 2, the fourth servo Motor 14 , power supply 18 and controller within drone body 16 .

The output shaft of the fourth servo motor 14 drives the reel 13 to rotate, and the reel 13 performs a pay-off operation on the cable 12. Then, the drone body 16 drives the information collection unit 10 to collect information on the area that needs to be detected, which is convenient for The drone body 16 performs inspection operations on some places that cannot be moved. The cooperation between the mobile mechanism 8 and the drone body 16 greatly improves the inspection capability of the inspection system.

The steering unit 4 includes a first servo motor 41 and a motor base 42 , the first servo motor 41 is installed on the bottom of the base 1 , the motor base 42 is fixed on the output shaft of the first servo motor 41 , and the first servo motor 41 is electrically connected to the PLC The controller 3, the output shaft of the first servo motor 41 drives the moving mechanism 8 to rotate through the motor base 42, so as to adjust the running direction of the moving mechanism 8 and ensure the rationality of the design.

The moving mechanism 8 includes a stepping motor 81 and a moving wheel 82, the stepping motor 81 is assembled on the motor base 42, the moving wheel 82 is fixed on the output shaft of the stepping motor 81, and the stepping motor 81 is electrically connected to the PLC controller 3, The output shaft of the stepping motor 81 drives the moving wheel 82 to rotate, and the moving wheel 82 moves the base 1 to the working area, thereby facilitating the inspection work.

The level adjustment unit 5 includes a second servo motor 51, a worm 52 and a worm wheel 53. The second servo motor 51 is installed on the top of the base 1, the worm wheel 53 is rotatably connected to the top of the base 1, and the worm 52 is fixed on the second servo motor 51. The output shaft is engaged with the worm gear 53 for transmission, the adjustment frame 15 is fixed on the top of the worm gear 53, the second servo motor 51 is electrically connected to the PLC controller 3, the output shaft of the second servo motor 51 drives the worm 52 to rotate, and the worm 52 and the worm 52 engages and drives, and the worm 52 drives the adjusting frame 15 to rotate, thereby adjusting the horizontal working angle of the information collecting unit 10 .

The pitch angle adjustment unit 9 includes a third servo motor 91, a gear 92 and a rack 93. The third servo motor 91 is installed at the end of the swing arm 20, the rack 93 is fixed on the adjustment frame 15, and the gear 92 is fixed on the third servo The output shaft of the motor 91 is engaged with the rack 93 for transmission, the third servo motor 91 is electrically connected to the PLC controller 3, the output shaft of the third servo motor 91 drives the gear 92 to rotate, and the gear 92 meshes with the rack 93 for transmission, thereby The swing arm 20 is driven to move, and the swing arm 20 rotates relative to the adjustment frame 15 through the rotating shaft 19 , thereby adjusting the pitch working angle of the information collection unit 10 , which has strong adjustment ability and improves the information collection ability of the information collection unit 10 .

The sliding mechanism 6 includes an arc-shaped sliding rail 61 and a sliding seat 62 , the arc-shaped sliding rail 61 is fixed on the adjusting frame 15 , the sliding seat 62 is slidably connected to the arc-shaped sliding rail 61 , and the sliding seat 62 is fixed on the end of the swing arm 20 , the end of the swing arm 20 drives the sliding seat 62 to slide along the arc-shaped sliding rail 61 , which ensures the stability of the information collection unit 10 during pitch adjustment.

The connecting mechanism 7 includes an adsorption iron block 71 and an electromagnet 72, the adsorption iron block 71 is fixed on the bottom of the landing gear 17, the electromagnet 72 is assembled on the sliding seat 62, the electromagnet 72 is magnetically connected with the adsorption iron block 71, and the electromagnet 72 is electrically connected. It is connected to the PLC controller 3. When the drone body 16 needs to be transferred to the area that the mobile mechanism 8 cannot reach for information collection, the electromagnet 72 is powered off and thus loses the connection restraint function with the adsorption iron block 71, and its connection is separated. Convenient and easy to use.

The positioning unit 11 includes a GPS locator 1101 and an infrared obstacle avoidance sensor 1102. The infrared obstacle avoidance sensor 1102 is installed on the side of the drone body 16. The GPS locator 1101 is installed on the top of the drone body 16. The GPS locator 1101 and the infrared The obstacle avoidance sensor 1102 is electrically connected to the controller in the drone body 16, and the infrared obstacle avoidance sensor 1102 detects the obstacle information around the drone body 16, and the GPS locator 1101 detects the location where the drone body 16 is located. The spatial position is positioned, and the intelligent inspection operation is facilitated by positioning.

The information acquisition unit 10 includes a thermal imaging camera 101, a multispectral imager 102 and an industrial camera 103. The thermal imaging camera 101, the multispectral imager 102 and the industrial camera 103 are all installed on the side of the drone body 16. The thermal imaging camera 101, The multispectral imager 102 and the industrial camera 103 are all electrically connected to the controller in the drone body 16, and the thermal imaging camera 101, the multispectral imager 102 and the industrial camera 103 collect image information of the working area, and the collected information It is transmitted to the controller in the drone body 16, and the controller in the drone body 16 transmits the information to the PLC controller 3, the PLC controller 3 analyzes and processes the information, and the information processed by the PLC controller 3 communicates through 5G The antenna 2 is transmitted to the remote monitoring terminal. During positioning, the information collection unit 10 can collect visual information, so as to cooperate with the positioning unit 11 to achieve the effect of precise positioning.

The inspection process includes:

One: task management

The robot inspection work management is carried out in the form of tasks. According to the actual needs, the inspection task plan is formulated. The inspection tasks can be divided into: infrared inspection tasks and visible light inspection tasks. The system provides standardized templates for various task types to support inspection tasks. Add, edit, delete and other functions of inspection tasks;

Two: intelligent inspection

Including multi-source data sources compatible with substation robots, combined with 5G technology to quickly, real-time, and accurately obtain multi-spectral information such as infrared images and visible light of equipment. It is collected and transmitted to the background inspection management system through the 5G communication antenna 2 for management. The main inspection types of visible light images include meter recognition, main equipment appearance change recognition, and nameplate recognition. The photo information is collected by the robot equipped with an industrial camera 103. The background management system provides classification management, query and browsing functions for various photos, and the system supports batch import and export of image data;

Three: device management

The system provides management of historical equipment inspection data for many years, including multi-dimensional historical data management such as "inspection tasks", "inspection equipment", "inspection personnel", and "inspection time". The system is based on historical inspections. Based on the visible light and infrared big data, combined with factors such as equipment production years, brands, geographical areas, etc., intelligent monitoring establishes a risk early warning model, and historical statistical analysis is performed on the areas where temperature abnormality often occurs and the occurrence of abnormal equipment components to form risk predictions. Guide the inspection work, conduct statistical analysis on the data of faulty and abnormal data equipment, and form a risk prediction model. The location can be predicted and analyzed, and an early warning can be made. The system provides defect management functions to realize defect information query. At the same time, it can mark defects and preview pictures. The corresponding defect information can directly query related photos and infrared temperature measurement information, and support corresponding Check the in-place situation corresponding to the defect information;

Three: Inspection report

The system provides query statistics and one-click output of various business reports, including the output of business forms such as inspection task forms, defect registration forms, and personnel availability forms;

Four: system management

System management includes personnel management, role management, authority management, log management, organization management, etc., provides basic personnel information management functions, and divides personnel information according to the organization, adding, modifying, deleting, role binding, etc.; providing The role information management function is divided and set according to system business applications, and roles are added, modified, deleted, and permissions are bound. Assign corresponding permissions to roles; provide log management, record system operations, exceptions and other information for easy query, provide support for system operation, maintenance, and management; provide dynamic management functions for organizations, and dynamically update, edit, and delete organizations , which can be flexibly configured according to the actual situation;

The system establishes an infrared defect information database and a non-infrared inspection defect information database, conducts special query management for the two types of defect information generated during the inspection process, and provides the function of defect thematic rendering and display. In the defect thematic window, click "General Defects" , "serious defects", "crisis defects" for analysis and statistics.

In order to realize the intelligent inspection task of robot substations, the system uses core technologies such as AI image recognition and multi-spectral fusion, multi-dimensional image intelligent inspection, robot joint inspection, defect image self-learning and image recognition, cloud heterogeneous analysis, edge cloud Synergy and other technologies can improve the ability to manage and control the status of substation equipment. Image tags can intelligently classify pictures and recognize objects by using deep learning technology and massive training data.

Economic and social benefits from system operation

Through the automatic analysis of inspection data, this system maximizes the advantages of robot safety, stability and efficiency, improves the accuracy and efficiency of inspections, enhances the comprehensiveness and reliability of substation inspections, and applies intelligent image recognition processing technology to improve substation inspections. The level of automation and intelligence of inspection work can reduce the time for hidden dangers to be discovered, shorten the time for troubleshooting, greatly reduce the workload of personnel analysis and processing, reduce the false positive rate and false negative rate of manual identification and processing, and improve the accuracy and effectiveness of analysis; The historical image analysis and calculation can well identify and deal with hidden defects such as hidden dangers, which can significantly improve the efficiency and efficiency of substation inspection work, reduce operating costs, and improve data standardization, improve work efficiency, and save a lot of labor costs.

Economic benefits:

The implementation of this project can reduce the workload of operation and maintenance personnel; it can prolong the equipment maintenance cycle, reduce maintenance costs, and improve equipment life; it can reduce misoperation, improve the work efficiency and safety reliability of the entire substation, and greatly shorten the power outage time. , so as to reduce the loss cost caused by the interruption of power supply in the substation;

The main calculation basis is as follows:

New output value = labor cost of operation and maintenance personnel + depreciation for extending equipment life + power supply interruption loss saved;

1) According to the operation and maintenance characteristics of a single substation, the average number of station operation and maintenance can be reduced to 2 times per week. There are 2 operation and maintenance personnel. The operation and maintenance work inspection time is calculated as 2 hours, and the operation and maintenance analysis work is calculated as 3 hours. 1 hour, the annual labor cost and vehicle loss can be greatly reduced.

2) This project can use equipment status analysis and high-frequency infrared temperature measurement technology to extend equipment maintenance cycle, reduce maintenance costs, improve asset operation efficiency, and extend equipment service life to a certain extent. The current equipment depreciation period is 10 years. , A substation equipment is calculated at 20 million yuan, the equipment life is increased by 1 year, and the depreciation expense of the equipment is very considerable.

3) The application of this project in the substation reduces the tedious manual operation and misoperation, improves the work efficiency of the entire substation, and greatly shortens the power outage time due to the improvement of safety, reliability and efficiency.

Social benefits:

1) Analysis of social benefits: The application of this system reduces the number and time of main equipment power outages and maintenance, and further shortens equipment operation time and improves power grid reliability through sequential control operation, fault alarm remote verification technology and other means. Advanced application functions such as intelligent inspection technology, equipment status visualization, intelligent alarm and analysis and decision-making, and advanced fault information analysis and decision-making strongly support the construction of a power grid security defense system including dynamic security assessment, early warning, and auxiliary decision-making, so that the grid security level can be improved. promote.

2) Economic and environmental benefits: the application of this system can reduce maintenance and operation and maintenance costs, and can effectively control labor costs. Secondly, the use of this system can improve the operational reliability of equipment and the management level and efficiency of substations.

3) In terms of safety benefits: the application of this system collects the status information and operation data of the equipment, transmits it to the host for analysis, and can realize functions such as equipment status estimation, fault analysis, intelligent analysis and intelligent alarm, and can quickly judge and locate. The fault type and location of the substation can shorten the recovery time of electrification. Through intelligent alarm, it can analyze and judge the dangerous degree of the fault as soon as possible, which is conducive to rapid decision-making and minimizes the risk.

The working principle of a substation intelligent inspection system based on 5G and artificial intelligence provided by the present invention is as follows: the infrared obstacle avoidance sensor 1102 is used to detect the obstacle information around the drone body 16, and the GPS locator 1101 is used to detect the obstacle information of the drone. The spatial position of the main body 16 is located, and the image information of the working area is collected by the thermal imaging camera 101, the multispectral imager 102 and the industrial camera 103, and the collected information is transmitted to the controller in the main body 16 of the drone. The controller in the drone body 16 transmits the information to the PLC controller 3, the PLC controller 3 analyzes and processes the information, and plans the movement path of the moving mechanism 8 and the drone body 16, and the information processed by the PLC controller 3 passes through The 5G communication antenna 2 is transmitted to the remote monitoring terminal, the output shaft of the first servo motor 41 drives the moving mechanism 8 to rotate through the motor base 42, thereby adjusting the walking direction of the moving mechanism 8, and the output shaft of the stepping motor 81 drives the moving wheel 82 Rotation, the moving wheel 82 moves the base 1 to the working area, the output shaft of the second servo motor 51 drives the worm 52 to rotate, the worm 52 engages with the worm 52 for transmission, and the worm 52 drives the adjustment frame 15 to rotate, thereby adjusting the level of the information collection unit 10. The working angle is adjusted, the output shaft of the third servo motor 91 drives the gear 92 to rotate, and the gear 92 meshes with the rack 93 for transmission, thereby driving the swing arm 20 to move. The end of the arm 20 drives the sliding seat 62 to slide along the arc-shaped slide rail 61, so as to adjust the pitching working angle of the information acquisition unit 10. When the information is collected, the electromagnet 72 is powered off and thus loses the connection and restraint function with the adsorption iron block 71. Then, the output shaft of the fourth servo motor 14 drives the wire wheel 13 to rotate, and the wire wheel 13 pays off the cable 12, and then , the drone body 16 drives the information collection unit 10 to collect information on the area that needs to be detected.

It is worth noting that the PLC controller 3 disclosed in the above embodiment controls the 5G communication antenna 2 , the fourth servo motor 14 , the drone body 16 , the first servo motor 41 , the stepping motor 81 , and the second servo motor 51 , The third servo motor 91 and the electromagnet 72 all adopt the methods commonly used in the prior art. The controller in the drone body 16 controls the GPS locator 1101, the infrared obstacle avoidance sensor 1102, the thermal imaging camera 101, and the multispectral imager. 102 and the industrial camera 103 adopt methods commonly used in the prior art, such as a GPS locator 1101, an infrared obstacle avoidance sensor 1102, a thermal imaging camera 101, a multispectral imager 102, an industrial camera 103, a 5G communication antenna 2, and a fourth servo motor 14. The drone body 16, the first servo motor 41, the stepping motor 81, the second servo motor 51, the third servo motor 91 and the electromagnet 72 are all selected and configured according to the actual application scenario, and the PLC controller 3 model is selected OMRON CSI series.

The part that is not described in detail in the present invention is the prior art. Although the present invention is specifically shown and introduced in conjunction with the preferred embodiments, there are many methods and approaches to realize the technical solution. The above are only the preferred embodiments of the present invention, but the It should be understood by those skilled in the art that various changes can be made to the present invention in form and detail without departing from the spirit and scope of the present invention defined by the appended claims, which are all within the protection scope of the present invention.

Claims (9)

1. The utility model provides a transformer substation intelligence system of patrolling and examining based on 5G and artificial intelligence which characterized in that: comprises a base (1), an adjusting bracket (15) and an unmanned aerial vehicle body (16);

base (1): the four corners of the bottom of the base are provided with steering units (4), the end part of each steering unit (4) is provided with a moving mechanism (8), the middle part of the bottom end of the base (1) is provided with a power supply (18), the top of the base (1) is provided with a PLC (programmable logic controller) (3), and the side surface of the PLC (3) is provided with a 5G communication antenna (2);

an adjusting bracket (15): the adjusting device is arranged at the top of the base (1) through a horizontal adjusting unit (5), the adjusting frame (15) is rotatably connected with a swing arm (20) through a rotating shaft (19), one end of the swing arm (20) is provided with a pitching angle adjusting unit (9), and the other end of the swing arm (20) is movably connected with the adjusting frame (15) through a sliding mechanism (6);

unmanned aerial vehicle body (16): an undercarriage (17) is fixed at the bottom of the unmanned aerial vehicle, the undercarriage (17) is connected with the movable part of the sliding mechanism (6) through a connecting mechanism (7), and an information acquisition unit (10) and a positioning unit (11) are respectively arranged on the unmanned aerial vehicle body (16);

wherein, still include fourth servo motor (14), the side at alignment jig (15) is installed in fourth servo motor (14), is fixed with line wheel (13) on the output shaft of fourth servo motor (14), the winding has cable (12) on line wheel (13), the one end of cable (12) and the controller electric connection in unmanned aerial vehicle body (16), the other end of cable (12) passes through electric slip ring (21) electric connection PLC controller (3), PLC controller (3) electric connection 5G communication antenna (2), fourth servo motor (14), power (18) and the controller in unmanned aerial vehicle body (16).

2. The intelligent substation inspection system based on 5G and artificial intelligence according to claim 1, wherein: the steering unit (4) comprises a first servo motor (41) and a motor base (42), the first servo motor (41) is installed at the bottom of the base (1), the motor base (42) is fixed on an output shaft of the first servo motor (41), and the first servo motor (41) is electrically connected with the PLC (3).

3. The intelligent substation inspection system based on 5G and artificial intelligence according to claim 2, wherein: the moving mechanism (8) comprises a stepping motor (81) and a moving wheel (82), the stepping motor (81) is assembled on the motor base (42), the moving wheel (82) is fixed on an output shaft of the stepping motor (81), and the stepping motor (81) is electrically connected with the PLC (3).

4. The intelligent substation inspection system based on 5G and artificial intelligence according to claim 1, wherein: horizontal adjustment regulating unit (5) include second servo motor (51), worm (52) and worm wheel (53), and the top in base (1) is installed in second servo motor (51), worm wheel (53) rotate to be connected at the top of base (1), worm (52) fix on the output shaft of second servo motor (51) and with worm wheel (53) meshing transmission, the top in worm wheel (53) is fixed in alignment jig (15), second servo motor (51) electric connection PLC controller (3).

5. The intelligent substation inspection system based on 5G and artificial intelligence according to claim 1, wherein: every single move angle adjusting unit (9) include third servo motor (91), gear (92) and rack (93), and the tip at swing arm (20) is installed in third servo motor (91), rack (93) are fixed on alignment jig (15), and gear (92) are fixed on the output shaft of third servo motor (91) and with rack (93) meshing transmission, third servo motor (91) electric connection PLC controller (3).

6. The intelligent substation inspection system based on 5G and artificial intelligence according to claim 1, wherein: slide mechanism (6) are including arc slide rail (61) and sliding seat (62), and arc slide rail (61) are fixed on alignment jig (15), sliding seat (62) sliding connection is on arc slide rail (61), and sliding seat (62) are fixed at the tip of swing arm (20).

7. The transformer substation intelligent inspection system based on 5G and artificial intelligence according to claim 6, characterized in that: coupling mechanism (7) are including adsorbing iron plate (71) and electro-magnet (72), adsorb iron plate (71) and fix the bottom at undercarriage (17), electro-magnet (72) assembly is on sliding seat (62), electro-magnet (72) and adsorb iron plate (71) magnetism and be connected, electro-magnet (72) electric connection PLC controller (3).

8. The intelligent substation inspection system based on 5G and artificial intelligence according to claim 1, wherein: positioning unit (11) include GPS locator (1101) and infrared obstacle sensor (1102) of keeping away, and infrared obstacle sensor (1102) of keeping away installs the side at unmanned aerial vehicle body (16), install the top at unmanned aerial vehicle body (16) GPS locator (1101), controller in the equal electric connection unmanned aerial vehicle body (16) of GPS locator (1101) and infrared obstacle sensor (1102) of keeping away.

9. The intelligent substation inspection system based on 5G and artificial intelligence according to claim 1, wherein: the information acquisition unit (10) comprises a thermal imaging camera (101), a multispectral imager (102) and an industrial camera (103), the thermal imaging camera (101), the multispectral imager (102) and the industrial camera (103) are all installed on the side face of the unmanned aerial vehicle body (16), and the thermal imaging camera (101), the multispectral imager (102) and the industrial camera (103) are all electrically connected with a controller in the unmanned aerial vehicle body (16).

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