Energy storage automatic operation and maintenance device and use method thereof

Abstract

The invention provides an energy storage automatic operation and maintenance device and a using method thereof, and relates to the technical field of energy storage equipment, the energy storage automatic operation and maintenance device comprises a bottom plate, a guide rail, a mechanical arm, a clamp bin, a water storage bin, a fire extinguishing powder bin, a paint bin, a telescopic umbrella bin, an operation and maintenance device body and a base, and the operation and maintenance device body is provided with an automatic operation and maintenance control system and installed at the top of an energy storage cabinet. According to the device, the intelligent sensing and emergency processing module is carried, and the energy storage cabinet can be continuously monitored for 24 hours in cooperation with the high-precision gyroscope, the vibration sensor, the temperature sensor and the smoke sensor. Different from a traditional manual inspection mode that a worker needs to hold a tool one by one, the camera at the front end of the mechanical arm can rapidly capture pictures of all parts of the cabinet body, and comprehensive inspection of multiple energy storage cabinets can be completed within a short time according to a preset optimal path by means of the precise task scheduling module.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage equipment, and in particular to an energy storage automated operation and maintenance device and a method for using the same. Background Art

[0002] As the global demand for clean energy grows, energy storage power stations, as a key component of the power system, are increasing in size and number. Energy storage power stations can effectively store electrical energy, play the role of "peak shaving and valley filling", and ensure the stability and reliability of power supply. During the operation of energy storage power stations, energy storage cabinets, as core equipment, carry key components such as battery modules and control systems. Their stable operation is crucial to the entire power station.

[0003] In the early days, energy storage power stations mainly relied on manual operation and maintenance. Operation and maintenance personnel regularly inspected the energy storage cabinets and carried various detection tools, such as thermometers and vibration detectors, to check the cabinets one by one. With the development of science and technology, some energy storage power stations have introduced some automated monitoring equipment. For example, temperature sensors and smoke sensors are installed inside and around the energy storage cabinets. These sensors can collect environmental data in real time and transmit the data to the monitoring center. Once the monitoring center receives an over-temperature or smoke alarm signal, it will immediately notify the operation and maintenance personnel to rush to the scene for processing. Some more advanced places are also equipped with video monitoring systems, and operation and maintenance personnel can remotely view the real-time images of the energy storage cabinets.

[0004] Although the existing methods can achieve the effect of operation and maintenance, they have many problems: 1. First, traditional manual operation and maintenance is limited by manpower, time and energy, and it is difficult to achieve high-frequency and refined inspections of many energy storage cabinets. For example, a large energy storage power station may have hundreds or thousands of energy storage cabinets. A manual inspection takes a long time, and it is difficult to find problems in time during the interval. When dealing with daily cleaning, repainting and other tasks, manual operation is slow, and there are differences in the operating standards of different operation and maintenance personnel, which easily leads to uneven operation and maintenance quality; 2. Secondly, when encountering emergency situations such as fire and severe vibration of the cabinet, relying on manual on-site processing, there is a significant time delay from the discovery of abnormalities to the arrival of personnel to take measures. If the fire cannot be extinguished in time at the beginning of the fire, the fire may spread rapidly, causing a devastating blow to the energy storage cabinet and the expensive battery module inside; if the vibration of the cabinet is not stopped in time, it may cause the line to loosen and the parts to fall off, further expanding the scope of the fault; 3. In addition, manual detection of problems such as loose lines and slight deformation of the cabinet based on experience and simple tools is prone to missed detection and misjudgment. For example, some minor poor contact of the circuits is difficult to detect with the naked eye, but may suddenly cause failures in subsequent operation. In addition, for the complex electrical environment inside the cabinet, manual inspection is difficult to fully and deeply grasp the true operating status of the equipment, and cannot warn of some potential faults in advance, and the function is single.

[0005] Therefore, an energy storage automated operation and maintenance device and a method of using the same are needed to solve the above problems. Summary of the invention

[0006] Technical issues solved

[0007] In view of the deficiencies in the prior art, the present invention provides an energy storage automated operation and maintenance device and a method of using the same, which solves the problems mentioned in the above background technology.

[0008] Technical Solution

[0009] To achieve the above purpose, the present invention is implemented through the following technical solutions: an energy storage automated operation and maintenance device and its use method, including a bottom plate, a guide rail, a mechanical arm, a fixture bin, a water storage bin, a fire extinguishing powder bin, a paint bin, a telescopic umbrella bin, an operation and maintenance device and a base, wherein the bottom plate, the guide rail, the mechanical arm, the fixture bin, the water storage bin, the fire extinguishing powder bin, the paint bin, the telescopic umbrella bin and the base constitute a complete operation and maintenance device, the operation and maintenance device is equipped with an automatic operation and maintenance control system, the operation and maintenance device is installed on the top of the energy storage cabinet and connected by bolts, a base is installed on the top of the bottom plate, the interior of the base is hollow, a water storage bin is provided on one side of the base, a paint bin is provided on the front of the other side of the base, and a fire extinguishing powder bin is provided on the back of the other side of the base. The entire operation and maintenance device is mainly used to achieve 24-hour uninterrupted operation and maintenance for energy storage power stations, and can achieve fire fighting, cabinet cleaning, surface touch-up, door opening detection, common line loosening processing, cabinet tilting and vibration monitoring.

[0010] Preferably, a mechanical arm rotating platform is installed in the middle of the top of the base, a telescopic umbrella warehouse is installed at the top of the base near the back of the mechanical arm rotating platform, a mechanical arm is installed on the top of the mechanical arm rotating platform, the mechanical arm rotating platform drives the mechanical arm to rotate 360 ​​degrees, the top of the mechanical arm is connected to the mechanical arm telescopic section, the end of the mechanical arm telescopic section is installed with a connecting arm, the top of the connecting arm is installed with a camera, the end of the connecting arm is movably connected with a mechanical arm movable head, and the end of the mechanical arm movable head is provided with a mechanical fixture head. The telescopic section of the mechanical arm is used to realize the telescopic and lengthening of the entire mechanical arm, wherein the mechanical arm fixture head is adapted to the cleaning brush, high-pressure water gun, fire extinguisher spray gun, mechanical bionic hand and cabinet key in the fixture warehouse.

[0011] Preferably, a fixture compartment is provided at the top of the base near the front of the mechanical arm rotating platform, and a cleaning brush, a high-pressure water gun, a fire extinguisher spray gun, a mechanical bionic hand and a cabinet key are placed inside the fixture compartment. The cleaning brush can realize the cabinet cleaning function after being clamped by the mechanical fixture head, and the cabinet and surrounding non-electrical debris can be flushed by clamping the high-pressure water gun to play a fire extinguishing function. The mechanical bionic hand here is mainly used to hold the key to open the cabinet door and monitor the loose circuit for maintenance, and the cabinet is repainted by the paint spray gun.

[0012] Preferably, a guide rail is provided on the top of the base, the robotic arm rotating platform and the guide rail are slidably connected, the guide rail provides linear movement for the robotic arm, and a gyroscope, a vibration sensor, a temperature sensor and a smoke sensor are arranged in the gap between the robotic arm rotating platform and the base.

[0013] Preferably, an automatic retractable umbrella is placed inside the retractable umbrella compartment. The automatic retractable umbrella is mainly used to shelter from rain when the cabinet door is opened on rainy days, to shelter from snow on snowy days, to shelter from hail on hail days, and to provide shade on hot days, to reduce the load on the built-in temperature control system of the energy storage cabinet, and to automatically retract into the retractable umbrella compartment when not in use.

[0014] Preferably, the automatic operation and maintenance control system includes an intelligent perception and emergency processing module, a precise task scheduling module, a remote monitoring and diagnosis module, and an energy management and optimization module. The intelligent perception and emergency processing module uses a gyroscope, a vibration sensor, a temperature sensor, and a smoke sensor to collect the operating status data of the energy storage cabinet in all directions, and uses threshold judgment, fuzzy logic, and a decision tree algorithm to monitor the cabinet tilt, vibration, temperature, and smoke conditions in real time. If an abnormality occurs, an emergency response is triggered quickly, and the robotic arm is precisely controlled to perform corresponding operations. In case of fire, the robotic arm is immediately controlled to grab the fire extinguisher to extinguish the fire, and the water storage tank is linked to work collaboratively.

[0015] Preferably, the precise task scheduling module rationally plans the task sequence of the robotic arm based on preset operation and maintenance planning and real-time monitoring feedback, relying on genetic algorithms, quasi-annealing algorithms and greedy algorithms. During the cleaning period, the robotic arm rotating table and the robotic arm telescopic section are driven in an orderly manner, and the mechanical clamp head is precisely controlled to grasp the cleaning tool, and the cabinet cleaning is completed according to the optimal cleaning path and strength. In the process, the real-time image acquisition of the camera is used to optimize the movement of the robotic arm.

[0016] Preferably, the remote monitoring and diagnosis module builds a data interaction bridge with the remote monitoring center through network communication technology, and adopts principal component analysis, cluster analysis and deep neural network algorithm to deeply process the collected operation and maintenance data and equipment status information. On the one hand, it can realize remote real-time viewing and control of the robotic arm to deal with complex emergency tasks, and on the other hand, it can provide early warning of potential equipment failures, reduce operation and maintenance costs and improve operation and maintenance efficiency.

[0017] Preferably, the energy management and optimization module monitors the energy and material consumption of water storage tanks, fire extinguishing powder tanks, and paint tanks in real time, uses linear regression analysis and time series prediction algorithms to estimate the resource requirements of subsequent operation and maintenance tasks, and plans the replenishment cycle of fire extinguishing powder in advance according to past fire extinguishing frequency and fire extinguishing powder consumption data during operation. At the same time, combined with the real-time power load of the energy storage power station, the robot arm is reasonably arranged to perform relatively energy-consuming tasks such as cabinet cleaning and repainting during non-peak hours, optimize the overall energy utilization efficiency, ensure the continuous and stable development of operation and maintenance work, reduce unnecessary energy waste and operation and maintenance interruption risks, and focus more on the adjustment of the weight of the impact of recent changes in temperature and humidity data on the pest model.

[0018] Preferably, the method for using the operation and maintenance device comprises the following steps:

[0019] SP1. Daily operation and maintenance:

[0020] SP1.1 Starting device, the mechanical fixture head at the front end of the robot arm is equipped with a special rotating device to rotate 360° continuously. The rotating device here is composed of a motor, a reduction gear set, a rotating shaft, and a matching control circuit and an angle sensor. The motor is used as a power source and operates under the drive of the control circuit. The power output is reduced in speed and increased in torque by the reduction gear set to ensure smooth rotation and sufficient torque to drive the mechanical fixture head and the connected tool to rotate 360° continuously;

[0021] The connected camera captures the surrounding images in real time and transmits the image information to the automatic operation and maintenance control system. The intelligent perception and emergency processing module in the automatic operation and maintenance control system uses gyroscopes and vibration sensors to fully monitor the operating status of the energy storage cabinet and the surrounding safety conditions;

[0022] SP1.2 When the vibration sensor detects the cabinet being hit by a bird, rockfall or vibration caused by an impact, the intelligent perception and emergency response module determines whether the cabinet is tilted based on the gyroscope data, and controls the camera to quickly turn to the vibration location for precise inspection;

[0023] SP1.3 When the gyroscope monitoring shows that the cabinet is not tilted and only the outside of the cabinet is damaged, the remote monitoring and diagnosis module pushes warning information to the background, detailing the location and approximate extent of the damage. Then the precise task scheduling module starts according to the preset program, driving the mechanical arm rotating table to rotate and the mechanical arm telescopic section to extend, so that the mechanical fixture head can accurately grab the cleaning brush in the fixture bin, and the mechanical arm cleans the impact surface according to the cleaning path planned by the system;

[0024] After cleaning is completed in SP1.4, the precise task scheduling module schedules again to let the mechanical fixture head replace the paint spray gun, obtain paint from the paint tank, and automatically repaint the damaged parts. During the repainting process, the camera provides real-time feedback.

[0025] SP1.5 When no abnormal accidents occur, the precise task scheduling module of the automatic operation and maintenance control system will start the daily cleaning task regularly according to the preset time period. The robot arm will replace the cleaning brush according to the established process to carry out comprehensive and detailed cleaning around the cabinet to keep the environment around the cabinet clean.

[0026] SP2. Fire warning:

[0027] The SP2.1 temperature sensor monitors the temperature of the energy storage cabinet in real time. When the cabinet temperature rises above the preset threshold of the system, the automatic operation and maintenance control system responds quickly. The intelligent perception and emergency processing module immediately controls the camera on the robotic arm to move to the cabinet door position, and automatically controls the mechanical bionic hand to simulate human hand movements to open the cabinet door and check whether there is a fire inside.

[0028] SP2.2 If a fire breaks out inside, the precise task scheduling module will quickly dispatch and instruct the telescopic section of the robotic arm to adjust its position. The mechanical fixture head will grab the fire extinguisher spray gun from the fixture bin. At the same time, the intelligent sensing and emergency handling module will link the water storage bin to ensure sufficient fire extinguishing resources. The robotic arm will accurately spray the fire extinguishing powder to the fire source based on the system's built-in fire extinguishing path planning algorithm to extinguish the fire efficiently.

[0029] SP2.3 When a fire is detected in the environment around the cabinet, the camera on the robotic arm quickly locks the fire location under the control of the intelligent perception and emergency processing module. The system also dispatches the robotic arm to grab the fire extinguisher spray gun, and intelligently adjusts the spraying force and angle of the fire extinguishing powder according to the size and scope of the fire to accurately extinguish the fire. At the same time, the remote monitoring and diagnosis module pushes the fire information and fire extinguishing status to the background in real time, so that the operation and maintenance personnel can remotely understand the dynamics of the scene;

[0030] SP3. Vibration warning:

[0031] The SP3.1 vibration sensor constantly monitors the vibration of the cabinet. When vibration is detected, the intelligent sensing and emergency processing module immediately obtains gyroscope data to determine the tilt status of the cabinet.

[0032] SP3.2 When the gyroscope detects that the cabinet is obviously tilted, the system pushes emergency warning information to the background through the remote monitoring and diagnosis module, and triggers the local alarm device at the same time, emitting a high-decibel alarm volume to alert surrounding personnel;

[0033] SP3.3 At the same time, the intelligent perception and emergency handling module quickly controls the robot arm to move to the position of the equipment emergency stop button, accurately presses the button, stops the equipment operation, and prevents secondary accidents from happening;

[0034] SP4. Line inspection:

[0035] SP4.1 When the energy storage control background detects abnormal signals from the equipment, the operation and maintenance personnel can remotely control the robotic arm through the remote monitoring and diagnosis module. The system's precise task scheduling module drives the robotic arm to move to the front of the cabinet, adjusts the angle of the robotic arm, and uses the camera to view the on-site operation of the cabinet;

[0036] SP4.2 When it is necessary to further check the internal circuit status, the operation and maintenance personnel can continue to remotely control the robotic arm and use the mechanical bionic hand to open the cabinet door. The camera carried by the robotic arm goes deep into the cabinet to clearly capture the circuit connection status and component appearance details, and transmit them back to the background in real time;

[0037] SP4.3 When simple faults such as loose or detached lines are found, the operation and maintenance personnel use the interactive function of the remote monitoring and diagnosis module to control the mechanical bionic hand on the robotic arm to perform simple line connection operations, such as tightening screws and plugging in plugs. During the operation, the camera provides assistance throughout the process.

[0038] Beneficial Effects

[0039] The present invention provides an energy storage automated operation and maintenance device and a method for using the same. The device has the following beneficial effects:

[0040] 1. The device of the present invention is equipped with intelligent sensing and emergency handling modules, and cooperates with high-precision gyroscopes, vibration sensors, temperature sensors and smoke sensors to achieve 24-hour uninterrupted monitoring of energy storage cabinets. Unlike traditional manual inspections that require manual handheld tools to check one by one, the camera at the front end of the robotic arm can quickly capture the images of various parts of the cabinet. Relying on the precise task scheduling module, according to the preset optimal path, a comprehensive inspection of many energy storage cabinets can be completed in a short time, and problems such as minor scratches, stains on the surface of the cabinet and foreign objects around can be discovered in time, ensuring high frequency and refinement of operation and maintenance, greatly shortening the inspection cycle, and improving the overall operation and maintenance efficiency. Whether it is cabinet cleaning, repainting or line inspection, the robotic arm operates strictly according to the established procedures under the command of the automatic operation and maintenance control system. For example, when cleaning the cabinet, the precise task scheduling module rationally plans the task sequence of the robotic arm based on the genetic algorithm, quasi-annealing algorithm and greedy algorithm, so that it can accurately control the mechanical fixture head to grasp the cleaning tool and complete the operation according to the optimal cleaning path and strength, avoiding quality differences caused by inconsistent standards in manual operation, ensuring that each operation and maintenance task can meet unified high-quality standards, and further improving operation and maintenance efficiency.

[0041] 2. In the present invention, once the temperature sensor detects that the cabinet temperature rises above the threshold, or the vibration sensor detects abnormal cabinet vibration, the intelligent perception and emergency processing module responds immediately. There is no need to wait for manual work to arrive at the scene, and the robotic arm can be quickly controlled to perform corresponding operations. In case of fire, fire extinguishers can be immediately grabbed to extinguish the fire, and the water storage tank can be linked to work together; when the cabinet vibration exceeds the standard and there is a risk of tilting, the emergency stop button of the equipment can be quickly pressed to prevent secondary accidents and control the accident losses to the minimum range. Compared with relying on manual on-site emergency treatment, the response time is greatly shortened and the safety of the energy storage power station is improved.

[0042] 3. The intelligent perception and emergency handling module in the present invention uses threshold judgment, fuzzy logic and decision tree algorithms to collect the operating status data of the energy storage cabinet in all directions and monitor the cabinet tilt, vibration, temperature and smoke conditions in real time. Compared with manual judgment based on experience, these algorithms can more accurately identify abnormal conditions. For example, through incremental learning algorithms, as the operation and maintenance data increases, the threshold is dynamically adjusted to accurately identify the fluctuations in the normal working range of the cabinet in different seasons and time periods, effectively reduce the false alarm rate, and warn of potential equipment failures in advance, providing a reliable basis for timely maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 It is the overall structure diagram of the present invention;

[0044] Figure 2 It is an enlarged view of point A of the present invention;

[0045] Figure 3 It is a component structure diagram of the present invention;

[0046] Figure 4 It is a framework diagram of the automatic operation and maintenance control system of the present invention.

[0047] Legend:

[0048] 1. Bottom plate; 2. Guide rail; 3. Robotic arm; 4. Fixture bin; 5. Water storage bin; 6. Fire extinguishing powder bin; 7. Paint bin; 8. Telescopic umbrella bin; 9. Telescopic section of the robotic arm; 10. Camera; 11. Movable head of the robotic arm; 12. Mechanical fixture head; 13. Rotating table of the robotic arm; 14. Operation and maintenance device; 15. Base; 16. Connecting arm. DETAILED DESCRIPTION

[0049] 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. Specific embodiment one:

[0051] like Figure 1-4 As shown, an energy storage automated operation and maintenance device and a method of using the same include a base plate 1, a guide rail 2, a robotic arm 3, a fixture bin 4, a water storage bin 5, a fire extinguishing powder bin 6, a paint bin 7, a telescopic umbrella bin 8, an operation and maintenance device 14, and a base 15. The base plate 1, the guide rail 2, the robotic arm 3, the fixture bin 4, the water storage bin 5, the fire extinguishing powder bin 6, the paint bin 7, the telescopic umbrella bin 8, and the base 15 constitute a complete operation and maintenance device 14. The operation and maintenance device 14 is equipped with an automatic operation and maintenance control system. The operation and maintenance device 14 is installed on the top of the energy storage cabinet and connected by bolts. The base 15 is installed on the top of the base plate 1. The interior of the base 15 is hollow. A water storage bin 5 is provided on one side of the base 15, a paint bin 7 is provided on the front of the other side of the base 15, and a fire extinguishing powder bin 6 is provided on the back of the other side of the base 15. The entire operation and maintenance device 14 is mainly used to realize 24-hour uninterrupted operation and maintenance of the energy storage power station, and can realize fire fighting, cabinet cleaning, surface repainting, door opening detection, common line loosening processing, cabinet tilting and vibration monitoring.

[0052] A mechanical arm rotating platform 13 is installed in the middle of the top of the base 15, a telescopic umbrella warehouse 8 is installed at the top of the base 15 near the back of the mechanical arm rotating platform 13, a mechanical arm 3 is installed on the top of the mechanical arm rotating platform 13, the mechanical arm rotating platform 13 drives the mechanical arm to rotate 360 ​​degrees, the top of the mechanical arm 3 is connected to the mechanical arm telescopic section 9, the end of the mechanical arm telescopic section 9 is installed with a connecting arm 16, the top of the connecting arm 16 is installed with a camera 10, the end of the connecting arm 16 is movably connected with a mechanical arm movable head 11, and the end of the mechanical arm movable head 11 is provided with a mechanical fixture head 12. The mechanical arm telescopic section 9 realizes the telescopic and lengthening of the entire mechanical arm 3, wherein the mechanical arm fixture head 12 is adapted to the cleaning brush, high-pressure water gun, fire extinguisher spray gun, mechanical bionic hand and cabinet key in the fixture warehouse 4.

[0053] A fixture bin 4 is provided on the top of the base 15 near the front of the mechanical arm rotating platform 13, and a cleaning brush, a high-pressure water gun, a fire extinguisher spray gun, a mechanical bionic hand and a cabinet key are placed inside the fixture bin 4. The cleaning brush can be clamped by the mechanical fixture head 12 to realize the cabinet cleaning function, and the cabinet and surrounding non-electrical debris can be flushed by clamping the high-pressure water gun to play a fire extinguishing function. The mechanical bionic hand here is mainly used to hold the key to open the cabinet door and monitor the loose circuit for maintenance, and the cabinet can be repainted by the paint spray gun.

[0054] A guide rail 2 is provided on the top of the base 15, and the robot arm rotating platform 13 is slidably connected to the guide rail 2. The guide rail 2 provides linear movement for the robot arm 3. A gyroscope, a vibration sensor, a temperature sensor and a smoke sensor are configured in the gap between the robot arm rotating platform 13 and the base 15.

[0055] An automatic retractable umbrella is placed inside the retractable umbrella compartment 8. The automatic retractable umbrella here is mainly used to avoid rain when opening the cabinet door on rainy days, avoid snow on snowy days, avoid hail on hail days, and shade on hot days, reduce the load of the built-in temperature control system of the energy storage cabinet, and automatically shrink in the retractable umbrella compartment 8 when not in use.

[0056] The automatic operation and maintenance control system includes an intelligent perception and emergency processing module, a precise task scheduling module, a remote monitoring and diagnosis module, and an energy management and optimization module. The intelligent perception and emergency processing module uses a gyroscope, a vibration sensor, a temperature sensor, and a smoke sensor to collect the operating status data of the energy storage cabinet in all directions, and uses threshold judgment, fuzzy logic, and a decision tree algorithm to monitor the cabinet's tilt, vibration, temperature, and smoke conditions in real time. If an abnormality occurs, the emergency response is triggered quickly, and the robotic arm 3 is precisely controlled to perform corresponding operations. In case of fire, the robotic arm 3 is immediately controlled to grab the fire extinguisher to extinguish the fire, and the water storage tank 5 is linked to work in coordination.

[0057] The precise task scheduling module rationally plans the task sequence of the robot arm 3 according to the preset operation and maintenance plan and real-time monitoring feedback, relying on genetic algorithms, quasi-annealing algorithms and greedy algorithms. During the cleaning period, the robot arm rotating table 13 and the robot arm telescopic section 9 are driven in an orderly manner, and the mechanical clamp head 12 is precisely controlled to grab the cleaning tool, and the cabinet cleaning is completed according to the optimal cleaning path and strength. In the process, the real-time image acquisition of the camera 10 is used to optimize the robot arm movement.

[0058] The remote monitoring and diagnosis module builds a data interaction bridge with the remote monitoring center through network communication technology, and adopts principal component analysis, cluster analysis and deep neural network algorithms to deeply process the collected operation and maintenance data and equipment status information. On the one hand, it can realize remote real-time viewing and control of the robot arm 3 to deal with complex emergency tasks, and on the other hand, it can provide early warning of potential equipment failures, reduce operation and maintenance costs and improve operation and maintenance efficiency.

[0059] The energy management and optimization module monitors the energy and material consumption of the water storage tank 5, the fire extinguishing powder tank 6, and the paint tank 7 in real time, and uses linear regression analysis and time series prediction algorithms to estimate the resource requirements of subsequent operation and maintenance tasks. During the operation process, the fire extinguishing powder replenishment cycle is planned in advance based on the past fire extinguishing frequency and fire extinguishing powder consumption data. At the same time, combined with the real-time power load of the energy storage power station, the robot arm 3 is reasonably arranged to perform relatively energy-consuming tasks such as cabinet cleaning and repainting during non-peak hours, optimize the overall energy utilization efficiency, ensure the continuous and stable development of operation and maintenance work, reduce unnecessary energy waste and operation and maintenance interruption risks, and focus more on the adjustment of the weight of the impact of recent changes in temperature and humidity data on the pest model.

[0060] The method of using the operation and maintenance device 14 includes the following steps:

[0061] SP1. Daily operation and maintenance:

[0062] SP1.1 Starting device, the mechanical fixture head 12 at the front end of the robot arm 3 is equipped with a special rotating device to rotate 360° continuously. The rotating device here is composed of a motor, a reduction gear set, a rotating shaft, and a matching control circuit and an angle sensor. The motor is used as a power source and operates under the drive of the control circuit. The power output by the motor is reduced in speed and increased in torque by the reduction gear set to ensure smooth rotation and sufficient torque to drive the mechanical fixture head 12 and the connected tool to rotate 360° continuously;

[0063] The connected camera 10 captures the surrounding images in real time and transmits the image information to the automatic operation and maintenance control system. The intelligent perception and emergency processing module in the automatic operation and maintenance control system uses a gyroscope and a vibration sensor to monitor the operating status of the energy storage cabinet and the surrounding safety status in all directions;

[0064] SP1.2 When the vibration sensor detects the cabinet body being hit by a bird, rockfall or vibration caused by an impact, the intelligent perception and emergency handling module determines whether the cabinet body is tilted based on the gyroscope data, and controls the camera 10 to quickly turn to the vibration location for precise inspection;

[0065] SP1.3 When the gyroscope monitoring shows that the cabinet is not tilted and only the outside of the cabinet is damaged, the remote monitoring and diagnosis module pushes warning information to the background, detailing the location and approximate extent of the damage. Then the precise task scheduling module starts according to the preset program, drives the mechanical arm rotating table 13 to rotate, and the mechanical arm telescopic section 9 to extend, so that the mechanical fixture head 12 accurately grabs the cleaning brush in the fixture bin 4, and the mechanical arm 3 cleans the impact surface according to the cleaning path planned by the system;

[0066] After cleaning is completed in SP1.4, the precise task scheduling module schedules again, and the mechanical fixture head 12 replaces the paint spray gun, obtains paint from the paint tank 7, and automatically repaints the damaged parts. During the repainting process, the camera 10 provides real-time feedback of the picture;

[0067] SP1.5 When no abnormal accidents occur, the precise task scheduling module of the automatic operation and maintenance control system will start the daily cleaning task regularly according to the preset time period. The robot arm 3 will replace the cleaning brush according to the established process and perform comprehensive and detailed cleaning around the cabinet to keep the environment around the cabinet clean;

[0068] SP2. Fire warning:

[0069] The SP2.1 temperature sensor monitors the temperature of the energy storage cabinet in real time. When the cabinet temperature rises above the preset threshold of the system, the automatic operation and maintenance control system responds quickly. The intelligent perception and emergency processing module immediately controls the camera 10 on the robotic arm 3 to move to the cabinet door position, and automatically controls the mechanical bionic hand to simulate the human hand movement to open the cabinet door and check whether there is a fire inside.

[0070] SP2.2 If a fire breaks out inside, the precise task scheduling module will quickly dispatch and instruct the telescopic section 9 of the robotic arm to adjust its position. The mechanical fixture head 12 will grab the fire extinguisher spray gun from the fixture bin 4. At the same time, the intelligent sensing and emergency handling module will link the water storage bin 5 to ensure that there are sufficient fire extinguishing resources. The robotic arm 3 will accurately spray the fire extinguishing powder to the fire source according to the built-in fire extinguishing path planning algorithm of the system to extinguish the fire efficiently.

[0071] SP2.3 When it is detected that the surrounding environment of the cabinet is on fire, the camera 10 on the robot arm 3 quickly locks the fire location under the control of the intelligent perception and emergency processing module. The system also dispatches the robot arm 3 to grab the fire extinguisher spray gun, and intelligently adjusts the spraying force and angle of the fire extinguishing powder according to the size and scope of the fire to accurately extinguish the fire. At the same time, the remote monitoring and diagnosis module pushes the fire information and fire extinguishing situation to the background in real time, so that the operation and maintenance personnel can remotely understand the dynamics of the scene;

[0072] SP3. Vibration warning:

[0073] The SP3.1 vibration sensor constantly monitors the vibration of the cabinet. When vibration is detected, the intelligent sensing and emergency processing module immediately obtains gyroscope data to determine the tilt status of the cabinet.

[0074] SP3.2 When the gyroscope detects that the cabinet is obviously tilted, the system pushes emergency warning information to the background through the remote monitoring and diagnosis module, and triggers the local alarm device at the same time, emitting a high-decibel alarm volume to alert surrounding personnel;

[0075] SP3.3 At the same time, the intelligent perception and emergency handling module quickly controls the robot arm 3 to move to the position of the equipment emergency stop button, accurately presses the button, stops the equipment operation, and prevents a secondary accident from occurring;

[0076] SP4. Line inspection:

[0077] SP4.1 When the energy storage control background detects abnormal signals from the equipment, the operation and maintenance personnel can remotely control the robotic arm 3 through the remote monitoring and diagnosis module. The system's precise task scheduling module drives the robotic arm 3 to move to the front of the cabinet, adjusts the angle of the robotic arm 3, and uses the camera 10 to view the on-site operation of the cabinet;

[0078] SP4.2 When it is necessary to further check the internal circuit status, the operation and maintenance personnel can continue to remotely control the robot arm 3 and use the mechanical bionic hand to open the cabinet door. The camera 10 carried by the robot arm 3 goes deep into the cabinet to clearly capture the circuit connection status and the appearance details of the components, and transmit them back to the background in real time;

[0079] SP4.3 When simple faults such as looseness and detachment of the line are found, the operation and maintenance personnel use the interactive function of the remote monitoring and diagnosis module to control the mechanical bionic hand on the robotic arm 3 to perform simple line connection operations, such as tightening screws and plugging in plugs. During the operation, the camera 10 assists throughout the process. Specific embodiment 2:

[0081] like Figure 1-4 As shown, in the present invention, the camera 10 installed on the top of the connecting arm 16 is a high-definition industrial-grade camera with infrared night vision function. It adopts a high-resolution CMOS image sensor, which can clearly capture fine scratches, stains and surrounding foreign objects on the cabinet surface during the day, ensuring the accurate execution of daily operation and maintenance tasks. The motor in the rotating device carried by the mechanical clamp head 12 is a high-precision brushless DC motor. Under the precise control of the automatic operation and maintenance control system, it can quickly and smoothly adjust the rotation speed according to different time requirements, such as slowly rotating when the cabinet is repainted to ensure uniform paint spraying, and quickly rotating the camera to locate the fire source when a fire occurs. Liquid level sensors are installed inside the water storage tank 5, the fire extinguishing powder tank 6, and the paint tank 7. The ultrasonic ranging principle is adopted to accurately measure the remaining amount of materials in the tank. When the material reserve is lower than the preset threshold, the energy management and optimization module of the automatic operation and maintenance control system will promptly push the replenishment reminder information to the background, so that the operation and maintenance personnel can arrange material replenishment in advance to avoid the interruption of emergency operation and maintenance tasks due to insufficient materials.

[0082] The intelligent perception and emergency handling module uses threshold judgment, fuzzy logic and decision tree algorithms to process sensor data, and introduces the incremental learning algorithm in machine learning. As the operation time of the energy storage power station increases and the operation and maintenance data increases, the incremental learning algorithm allows the system to quickly learn new data features without retraining the entire model, and continuously optimize the accuracy of the judgment of the abnormal state of the cabinet. For example, for the normal vibration range and temperature fluctuation range of the cabinet in different seasons and time periods, the threshold is dynamically adjusted through incremental learning, anomalies are accurately identified, the false alarm rate is reduced, and the timeliness and effectiveness of emergency response are improved. The precise task scheduling module integrates the distributed collaborative optimization algorithm based on the planning of the robot arm 3 task sequence based on the genetic algorithm, simulated annealing algorithm and greedy algorithm. Large-scale energy storage power stations can set up multiple groups of operation and maintenance devices to work simultaneously, and this algorithm can realize the coordinated allocation of tasks for multiple robot arms. For example, in the cabinet cleaning task, reasonable allocation is made based on the degree of dirtiness of each cabinet, the distribution of parts and the current status of the robotic arm to avoid congestion or waste of resources caused by multiple robotic arms rushing to the same area, improve the overall operation and maintenance efficiency, and ensure that all cabinet cleaning, inspection and other tasks are completed on time. The remote monitoring and diagnosis module adopts a federated learning algorithm to achieve the sharing and joint analysis of operation and maintenance data of multiple energy storage power stations of the same type under the premise of ensuring the privacy and security of energy storage power station data. Due to differences in geographical location, climate, equipment batches, etc., the operating status and failure mode of different power stations are different. The federated learning algorithm prevents each power station from leaking local sensitive data such as equipment layout and user electricity consumption data, and jointly trains a more generalized fault diagnosis model. Gathering data features from all parties, accurately and in advance warn of potential equipment failures, and provide comprehensive and accurate fault solution references for operation and maintenance personnel, further reducing operation and maintenance costs and improving the network operation and maintenance efficiency of power stations.

[0083] In case of strong winds, the wind speed sensor installed on the top of the device detects that the wind speed exceeds the preset safety threshold, and the automatic operation and maintenance control system immediately starts the response program. The intelligent perception and emergency handling module controls the mechanical arm 3 to take out the automatic telescopic umbrella from the telescopic umbrella warehouse 8. During this process, the mechanical arm 3 first moves to the top of the telescopic umbrella warehouse 8, and the mechanical clamp head 12 accurately locates the position of the umbrella handle, adjusts the appropriate length through the mechanical arm telescopic section 9, and firmly grasps the umbrella. Subsequently, the mechanical arm 3 moves the umbrella horizontally out of the warehouse. At this time, the electric telescopic rod built into the automatic telescopic umbrella receives the opening instruction from the control system. The instruction is triggered based on environmental monitoring data such as wind speed and rainfall. The electric telescopic rod starts working and opens the umbrella ribs at a uniform speed. The whole process is adjusted in real time by the control system according to the position and posture of the mechanical arm 3 to ensure that the umbrella is opened smoothly and does not collide with surrounding parts. After opening, the mechanical arm 3 flexibly adjusts the angle of the umbrella based on the wind direction sensor data, so that its windward side blocks wind and rain to the greatest extent, providing effective protection for the cabinet and operation and maintenance operations, and at the same time suspends non-emergency outdoor tasks to avoid strong winds that reduce operating accuracy and cause safety problems. If the wind speed increases and it rains, the system further controls the robotic arm 3 to use the mechanical bionic hand to lightly press the edge of the cabinet door to check the sealing of the cabinet, check whether there is any rainwater leakage, and report the results to the background in time to facilitate the operation and maintenance personnel to arrange subsequent repairs.

[0084] At a fixed time each week, the automatic operation and maintenance control system enters the equipment regular inspection mode, and the precise task scheduling module drives the robot arm 3 to each cabinet in turn according to the preset inspection route. At the cabinet, the robot arm 3 uses the camera 10 to take a full-scale picture of the cabinet appearance to check for new scratches, dents, graffiti and other damage; then the robot bionic hand is controlled to open the cabinet door, and the internal line connection and component status are checked in detail, focusing on signs of line aging, loose joints, abnormal heating of components, etc. For key parts such as battery module connections and main control circuit boards, the camera 10 switches to close-up mode to take high-definition pictures and transmits them to the background for professional analysis. If potential problems are found, an inspection report containing problem descriptions, location information, and image evidence is immediately marked and generated, and pushed to the background for operation and maintenance personnel to formulate maintenance plans.

[0085] To ensure that the operation and maintenance team can respond quickly and efficiently to emergencies, emergency drills are conducted regularly. The automatic operation and maintenance control system simulates a variety of emergency scenarios such as fire, earthquake, equipment short circuit and smoke. Taking the simulated fire as an example, the system manually triggers the temperature sensor and smoke sensor to reach the preset fire alarm threshold. Then the intelligent perception and emergency handling module, the precise task scheduling module and the remote monitoring and diagnosis module work together, just like a real fire, to quickly control the robot arm 3 to grab the fire extinguisher and spray the fire, and push fire information to the background. The operation and maintenance personnel observe the drill in real time at the remote monitoring center, evaluate it based on indicators such as the operation of the robot arm 3 and the system response speed, and adjust and optimize the emergency plan and operation and maintenance system settings in a timely manner when problems are found, so as to improve the emergency handling capabilities of the energy storage power station. Specific embodiment three:

[0087] like Figure 1-4 As shown, the key algorithms mentioned in Example 1 are analyzed in detail below:

[0088] 1. Threshold judgment algorithm:

[0089] Assume that the physical value collected by the sensor is x, and the corresponding preset threshold is x threshold ,The formula for judging the operating status of the equipment is:

[0090]

[0091] Where y is the judgment result, 0 means the device is in normal state, and 1 means the device is in abnormal state. For example, for the temperature value T collected by the temperature sensor, if T threshold =50℃, when T≤50℃, y=0; when T>50℃, y=1.

[0092] 2. Fuzzy logic algorithm:

[0093] Fuzzification:

[0094] Taking vibration intensity V as an example, three fuzzy sets of “mild vibration”, “moderate vibration” and “violent vibration” are defined, and their membership functions are:

[0095] “Slight vibration”: V1 is the threshold value set to distinguish slight vibrations.

[0096] Moderate vibration: Among them, V2 is the central value of moderate vibration, and V3 and V4 are used to determine the shape and range of the membership function.

[0097] “Severe vibrations”: V5 is the threshold value for distinguishing severe vibration.

[0098] 3. Fuzzy rule reasoning:

[0099] Assume the fuzzy rule is:

[0100] If the vibration is "slight vibration", the "continuous monitoring" operation is adopted, and the membership degree of this operation is set to μ 持续监测 , the fuzzy rule can be expressed as:

[0101] μ 持续监测 =μ 轻微 (V).

[0102] If the vibration is "moderate vibration", take the "detailed inspection" operation, and set the membership degree of this operation to μ 详细检查 , the fuzzy rule can be expressed as: μ 详细检查 =μ +度(V).

[0103] If the vibration is "severe vibration", the "emergency stop" operation is taken, and the membership degree of this operation is μ 紧急净机 , the fuzzy rule can be expressed as: μ 紧急停机 =μ 剧烈 (V).

[0104] 4. Genetic Algorithm:

[0105] (1) Encoding: Encode the task sequence of the robot arm into chromosomes. For example, the execution order of each task is represented by genes to form a gene sequence.

[0106] (2) Fitness function: Let F be the fitness function, which is used to evaluate the quality of each chromosome (task sequence). For example, taking the total time T or total energy consumption E to complete all tasks as evaluation indicators, the fitness function can be defined as:

[0107] or

[0108] (3) Selection: Roulette selection is used, and the probability of each chromosome being selected is proportional to its fitness. Suppose there are N chromosomes in the population, and the fitness of the i-th chromosome is F i , then the probability that the i-th chromosome is selected is P i for:

[0109]

[0110] (4) Crossover: with a certain crossover probability P c Select two chromosomes for crossover operation, exchange some genes, and generate new chromosomes. For example, single-point crossover operation randomly selects a crossover point on two chromosomes and exchanges the gene fragments after the crossover point;

[0111] (5) Mutation: with a certain mutation probability P m Mutate the genes on the chromosome, change the gene value, and introduce new gene combinations. For example, randomly select a gene and replace its value with another feasible value.

[0112] 5. Simulated annealing algorithm:

[0113] (1) Initial solution: randomly generate a robot task sequence as the initial solution x0 and calculate its objective function value f(x0);

[0114] (2) Temperature parameters: Set the initial temperature T0 and determine the cooling strategy, such as T k+1 =αT k , where α is the temperature drop coefficient, 0<α<1;

[0115] (3) Neighborhood search: Randomly generate a new solution x within the neighborhood of the current solution x k , and calculate the difference Δf between the objective function values of the new solution and the current solution, where Δf = f(x new ) - f(x new ); k

[0116] (4) Acceptance criterion: If Δf < 0, accept the new solution, that is, x k+1 = x new

[0117] If Δf ≥ 0, accept the new solution with a probability , where T k is the current temperature. By generating a random number r ∈ [0, 1], if r < P, accept the new solution, that is, x k+1 = x new ; otherwise, keep the current solution, that is, x k+1 = x k ;

[0118] (5) Termination condition: When the temperature T k drops below a certain threshold T min , or reaches the maximum number of iterations, the algorithm terminates and outputs the current solution as the optimal solution.

[0119] 6. Greedy algorithm:

[0120] When the greedy algorithm is used to plan the task sequence of the robotic arm, the current optimal task is selected at each step. For example, with the goal of the shortest task execution time, let the task set be T = {t1, t2,..., t n}, the execution time of each task t i is d i , and the selected task sequence is S.

[0121] (1) Initialization (2) Select the task with the shortest execution time from the task set T tmin , that is, (3) Add t min to the task sequence S, that is, S = S ∪ {t m in}; (4) Remove t m in from the task set T, that is, T = T - {t m in}; (5) Repeat steps 2 - 4 until the task set T is empty to obtain the final task sequence S. Specific embodiment four:

[0123] As Figure 1-4 shown, the following is a specific application logic step description of each module and algorithm in an energy storage automatic operation and maintenance device and its usage method:

[0124] 1. Intelligent perception and emergency response module

[0125] Data collection:

[0126] Gyroscope: used to monitor the tilt angle of the energy storage cabinet in real time and continuously transmit the collected angle information to the module.

[0127] Vibration sensor: accurately senses the vibration amplitude of the cabinet and transmits the vibration amplitude data to the module in real time.

[0128] Temperature sensor: monitors the temperature of the cabinet at all times and sends temperature data to the module immediately upon detecting a temperature change.

[0129] Smoke sensor: Pay close attention to the smoke concentration around the cabinet. If smoke is generated, quickly feedback the concentration information to the module.

[0130] 2. Algorithm processing:

[0131] Threshold determination:

[0132] Compare the temperature data collected by the temperature sensor with the preset temperature threshold. If the temperature is higher than the threshold, the subsequent inspection process is immediately triggered;

[0133] Similarly, the vibration amplitude from the vibration sensor, the smoke concentration from the smoke sensor and other data are also judged in this way;

[0134] For the data of the vibration sensor, the fuzzy logic algorithm is used to fuzzify the vibration amplitude into states such as "mild", "moderate", and "severe" through membership functions, and further actions are determined based on the preset rules corresponding to different fuzzy states. For example, "moderate" vibration may trigger a detailed inspection of the cabinet appearance and internal circuits.

[0135] Decision tree: A decision tree is constructed by integrating data from multiple sensors such as gyroscopes, vibration sensors, temperature sensors, and smoke sensors, with temperature, smoke, and vibration as decision nodes, and judgment results such as "normal operation", "fire warning", and "cabinet tilt danger" as leaf nodes. For example, if the temperature exceeds the standard and the smoke concentration rises, the decision result is "fire warning", and the fire extinguishing emergency process is directly initiated.

[0136] Incremental learning: As time goes by and operation and maintenance data accumulates, the threshold is adjusted dynamically using the incremental learning algorithm. For example, normal cabinet temperature fluctuation data in different seasons and time periods are collected, and the temperature threshold is automatically updated to optimize the accuracy of abnormal judgment.

[0137] Emergency response: According to the algorithm processing results, the robot arm 3 is quickly controlled to perform corresponding operations. In case of fire, the robot arm 3 is controlled to grab the fire extinguishing equipment and link the water storage tank 5; when the cabinet body tilts, the robot arm 3 is controlled to press the emergency stop button to ensure the safety of the energy storage cabinet.

[0138] 2. Accurate Task Scheduling Module

[0139] Mission Planning:

[0140] According to the preset operation and maintenance plan and real-time monitoring feedback, the genetic algorithm, simulated annealing algorithm and greedy algorithm are used to plan the task sequence of the robot arm 3.

[0141] In the cabinet cleaning task, first evaluate the degree of dirtiness of each cabinet and divide the cabinet area into different sub-areas:

[0142] For each sub-area, based on factors such as its cleaning difficulty and the current position of the robot 3, a genetic algorithm is used to simulate the biological evolution process to find the optimal cleaning path combination;

[0143] The simulated annealing algorithm avoids falling into the local optimum during the search process;

[0144] The greedy algorithm selects the current optimal operation at each step, such as giving priority to cleaning the areas with serious stains and reasonably arranging the movement and operation sequence of the robot arm 3.

[0145] Task Execution:

[0146] According to the planned task sequence, the robot arm rotating table 13 and the robot arm telescopic section 9 are driven to move precisely, and the mechanical clamp head 12 is controlled to grab the appropriate tool.

[0147] For example, in a paint touch-up task, the robot arm 3 is dispatched to obtain paint from the paint bin 7, and the movement speed and paint spraying angle of the robot arm 3 are controlled according to the preset paint spraying process parameters to ensure that the paint touch-up is uniform and beautiful.

[0148] At the same time, with the help of real-time image acquisition by the camera 10, the movement of the robot arm 3 is dynamically optimized. If uneven paint spraying is found, the posture of the robot arm 3 is adjusted in time.

[0149] 3. Remote monitoring and diagnosis module

[0150] Algorithm analysis:

[0151] Principal component analysis, cluster analysis and deep neural network algorithms are used to deeply process the uploaded data.

[0152] Principal component analysis extracts key information, reduces data dimensions, and focuses on core operation and maintenance indicators.

[0153] Cluster analysis groups similar equipment states or failure modes into categories for quick identification.

[0154] Deep neural networks are trained using large amounts of historical data to learn the material characteristic patterns of different faults and operation and maintenance states. For example, they can predict potential line faults by analyzing the changing trends of multiple parameters such as temperature, current, and voltage.

[0155] Remote control and early warning:

[0156] On the one hand, operation and maintenance personnel can use this module to remotely view and control the robotic arm in real time to deal with complex emergency tasks.

[0157] On the other hand, it can provide early warning of potential equipment failures, and push fault information, warning levels, etc. to the backend in a timely manner, assisting operation and maintenance personnel in formulating maintenance strategies and reducing operation and maintenance costs.

[0158] 4. Energy Management and Optimization Module

[0159] Resource monitoring:

[0160] The energy and material consumption of the water storage bin 5, the fire extinguishing powder bin 6, and the paint bin 7 are monitored in real time. The remaining amount of materials in the bin is accurately measured by a liquid level sensor based on the ultrasonic ranging principle, and the energy consumption data of each task of the robot arm 3 is recorded at the same time.

[0161] Algorithm prediction:

[0162] Use linear regression analysis and time series prediction algorithms, combined with historical operation and maintenance data, to estimate the resource requirements for subsequent operation and maintenance tasks. For example, based on past firefighting frequency and fire extinguishing powder consumption data, build a linear regression model to predict the amount of fire extinguishing powder used in the future and plan the fire extinguishing powder replenishment cycle in advance.

[0163] According to the time series analysis of the periodic law of the cabinet cleaning task, the robot arm 3 is reasonably arranged to perform the relatively energy-consuming tasks of cabinet cleaning and repainting during non-peak hours.

[0164] Optimized scheduling:

[0165] According to the prediction results, while ensuring the continuous and stable operation and maintenance work, the overall energy utilization efficiency is optimized to avoid high-energy-consuming tasks during peak hours, and to reduce unnecessary energy waste and the risk of operation and maintenance interruption. For example, combined with the real-time power load of the energy storage power station, when the power load is low, the robot arm 3 is given priority to perform the touch-up work to ensure the reasonable distribution of energy.

[0166] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the statement "comprising a reference structure" do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0167] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An energy storage automated operation and maintenance device and a method for using the same, characterized in that: The invention comprises a bottom plate (1), a guide rail (2), a mechanical arm (3), a fixture bin (4), a water storage bin (5), a fire extinguishing powder bin (6), a paint bin (7), a telescopic umbrella bin (8), an operation and maintenance device (14) and a base (15). The bottom plate (1), the guide rail (2), the mechanical arm (3), the fixture bin (4), the water storage bin (5), the fire extinguishing powder bin (6), the paint bin (7), the telescopic umbrella bin (8) and the base (15) constitute a complete operation and maintenance device (14). The operation and maintenance device (14) is equipped with an automatic operation and maintenance control system. The operation and maintenance device (14) is installed on the top of the energy storage cabinet and connected by bolts. The top of the bottom plate (1) is installed with a base (15). The interior of the base (15) is hollow. A water storage bin (5) is arranged on one side of the base (15). A paint bin (7) is arranged on the front side of the other side of the base (15). A fire extinguishing powder bin (6) is arranged on the back side of the other side of the base (15).

2. The energy storage automation operation and maintenance device and the use method thereof according to claim 1, characterized in that: A mechanical arm rotating platform (13) is installed in the middle of the top of the base (15); a telescopic umbrella bin (8) is installed at the top of the base (15) near the back of the mechanical arm rotating platform (13); a mechanical arm (3) is installed at the top of the mechanical arm rotating platform (13); the mechanical arm rotating platform (13) drives the mechanical arm (3) to rotate 360 ​​degrees; the top of the mechanical arm (3) is connected to a mechanical arm telescopic section (9); a connecting arm (16) is installed at the end of the mechanical arm telescopic section (9); a camera (10) is installed at the top of the connecting arm (16); the end of the connecting arm (16) is movably connected to a mechanical arm movable head (11); and a mechanical clamp head (12) is provided at the end of the mechanical arm movable head (11).

3. The energy storage automation operation and maintenance device and the use method thereof according to claim 2, characterized in that: A fixture bin (4) is arranged at the top of the base (15) near the front of the mechanical arm rotating platform (13), and a cleaning brush, a high-pressure water gun, a fire extinguisher spray gun, a mechanical bionic hand and a cabinet key are placed inside the fixture bin (4).

4. The energy storage automation operation and maintenance device and the use method thereof according to claim 3, characterized in that: A guide rail (2) is provided on the top of the base (15); the mechanical arm rotating platform (13) and the guide rail (2) are slidably connected; the guide rail (2) provides linear movement for the mechanical arm (3); and a gyroscope, a vibration sensor, a temperature sensor and a smoke sensor are arranged in the gap between the mechanical arm rotating platform (13) and the base (15).

5. The energy storage automation operation and maintenance device and the use method thereof according to claim 2, characterized in that: An automatic telescopic umbrella is placed inside the telescopic umbrella compartment (8).

6. The energy storage automation operation and maintenance device and the use method thereof according to claim 1, characterized in that: The automatic operation and maintenance control system comprises an intelligent sensing and emergency processing module, a precise task scheduling module, a remote monitoring and diagnosis module and an energy management and optimization module. The intelligent sensing and emergency processing module uses a gyroscope, a vibration sensor, a temperature sensor and a smoke sensor to collect the operation status data of the energy storage cabinet in all directions, and uses threshold judgment, fuzzy logic and decision tree algorithm to monitor the cabinet tilt, vibration, temperature and smoke conditions in real time. If an abnormality occurs, an emergency response is triggered quickly, and the mechanical arm (3) is precisely controlled to perform corresponding operations. In case of fire, the mechanical arm (3) is immediately controlled to grab a fire extinguisher to extinguish the fire, and the water storage tank (5) is linked to work in coordination.

7. The energy storage automation operation and maintenance device and the use method thereof according to claim 6, characterized in that: The precise task scheduling module rationally plans the task sequence of the robot arm (3) based on the preset operation and maintenance plan and real-time monitoring feedback, relying on the genetic algorithm, the quasi-annealing algorithm and the greedy algorithm. During the cleaning period, the robot arm rotating platform (13) and the robot arm telescopic section (9) are driven in an orderly manner, and the mechanical clamp head (12) is precisely controlled to grasp the cleaning tool, and the cabinet cleaning is completed according to the optimal cleaning path and strength. During the process, the robot arm movement is optimized by real-time image acquisition with the help of the camera (10).

8. An energy storage automated operation and maintenance device and a method for using the same according to claim 7, characterized in that: The remote monitoring and diagnosis module uses network communication technology to build a data interaction bridge with the remote monitoring center, and uses principal component analysis, cluster analysis and deep neural network algorithms to deeply process the collected operation and maintenance data and equipment status information. First, it realizes remote real-time viewing and control of the robotic arm (3) to deal with complex emergency tasks, and secondly, it warns of potential equipment failures in advance, reduces operation and maintenance costs, and improves operation and maintenance efficiency.

9. The energy storage automation operation and maintenance device and the use method thereof according to claim 8, characterized in that: The energy management and optimization module monitors the energy and material consumption of the water storage tank (5), the fire extinguishing powder tank (6), and the paint tank (7) in real time, and uses linear regression analysis and time series prediction algorithms to estimate the resource requirements of subsequent operation and maintenance tasks. During the operation process, the fire extinguishing powder replenishment cycle is planned in advance based on the past fire extinguishing frequency and fire extinguishing powder consumption data. At the same time, combined with the real-time power load of the energy storage power station, the robot arm (3) is reasonably arranged to perform relatively energy-consuming tasks such as cabinet cleaning and repainting during non-peak hours, thereby optimizing the overall energy utilization efficiency, ensuring the continuous and stable development of operation and maintenance work, and reducing unnecessary energy waste and the risk of operation and maintenance interruption.

10. An energy storage automated operation and maintenance device and a method of using the same according to claims 1-9, characterized in that: The method for using the operation and maintenance device (14) comprises the following steps: SP1. Daily operation and maintenance: SP1.1 Starting device, the mechanical fixture head (12) at the front end of the mechanical arm (3) is equipped with a special rotating device to rotate continuously 360°. The rotating device here is composed of a motor, a reduction gear set, a rotating shaft, and a matching control circuit and an angle sensor. The motor is used as a power source and operates under the drive of the control circuit. The power output by the motor is reduced in speed and increased in torque by the reduction gear set to ensure smooth rotation and sufficient torque to drive the mechanical fixture head (12) and the connected tool to rotate continuously 360°; The connected camera (10) captures the surrounding images in real time and transmits the image information to the automatic operation and maintenance control system. The intelligent perception and emergency processing module in the automatic operation and maintenance control system uses a gyroscope and a vibration sensor to monitor the operating status of the energy storage cabinet and the surrounding safety status in all directions; SP1.2 When the vibration sensor detects that the cabinet is hit by a bird, a rockfall or a collision, the intelligent sensing and emergency handling module determines whether the cabinet is tilted based on the gyroscope data, and controls the camera (10) to quickly turn to the location where the vibration occurs for precise inspection; SP1.3 When the gyroscope monitoring shows that the cabinet is not tilted and only the exterior of the cabinet is damaged, the remote monitoring and diagnosis module pushes an early warning message to the backend, detailing the location and approximate extent of the damage. Then the precise task scheduling module starts according to the preset program, driving the mechanical arm rotating table (13) to rotate and the mechanical arm telescopic section (9) to extend, so that the mechanical fixture head (12) accurately grabs the cleaning brush in the fixture bin (4), and the mechanical arm (3) cleans the impact surface according to the cleaning path planned by the system; After cleaning is completed in SP1.4, the precise task scheduling module schedules again, allowing the mechanical fixture head (12) to replace the paint spray gun, obtain paint from the paint tank (7), and automatically repaint the damaged parts. During the repainting process, the camera (10) provides real-time feedback; SP1.5 When no abnormal accidents occur, the precise task scheduling module of the automatic operation and maintenance control system will start the daily cleaning task according to the preset time period. The robot arm (3) will replace the cleaning brush according to the established process and perform comprehensive and detailed cleaning around the cabinet to keep the environment around the cabinet clean. SP2. Fire warning: The SP2.1 temperature sensor monitors the temperature of the energy storage cabinet in real time. When the cabinet temperature rises above the preset threshold of the system, the automatic operation and maintenance control system responds quickly. The intelligent sensing and emergency processing module immediately controls the camera (10) on the mechanical arm (3) to move to the cabinet door position, and automatically controls the mechanical bionic hand to simulate the human hand movement to open the cabinet door and check whether there is a fire inside. SP2.2 When a fire breaks out inside, the precise task scheduling module quickly dispatches and instructs the telescopic section of the robotic arm (9) to adjust its position, and the mechanical fixture head (12) grabs the fire extinguisher spray gun from the fixture bin (4). At the same time, the intelligent sensing and emergency handling module links the water storage bin (5) to ensure that there are sufficient fire-fighting resources. The robotic arm (3) uses the system's built-in fire-fighting path planning algorithm to accurately spray the fire-fighting powder toward the fire source, effectively extinguishing the fire. SP2.3 When it is detected that the environment around the cabinet is on fire, the camera (10) on the robot arm (3) quickly locks the fire location under the control of the intelligent perception and emergency processing module. The system also dispatches the robot arm (3) to grab the fire extinguisher spray gun, and intelligently adjusts the intensity and angle of the fire extinguishing powder spray according to the size and scope of the fire to accurately extinguish the fire. At the same time, the remote monitoring and diagnosis module pushes the fire information and fire extinguishing situation to the background in real time, so that the operation and maintenance personnel can remotely understand the dynamics of the scene; SP3. Vibration warning: The SP3.1 vibration sensor constantly monitors the vibration of the cabinet. When vibration is detected, the intelligent sensing and emergency processing module immediately obtains gyroscope data to determine the tilt status of the cabinet. SP3.2 When the gyroscope detects that the cabinet is obviously tilted, the system pushes emergency warning information to the background through the remote monitoring and diagnosis module, and triggers the local alarm device at the same time, emitting a high-decibel alarm volume to alert surrounding personnel; SP3.3 At the same time, the intelligent sensing and emergency handling module quickly controls the robot arm (3) to move to the position of the equipment emergency stop button, accurately presses the button, stops the equipment operation, and prevents a secondary accident from occurring; SP4. Line inspection: SP4.1 When the energy storage control background detects an abnormal signal from the equipment, the operation and maintenance personnel can remotely control the robotic arm (3) through the remote monitoring and diagnosis module, and the system's precise task scheduling module drives the robotic arm (3) to move to the front of the cabinet, adjusts the angle of the robotic arm (3), and uses the camera (10) to view the on-site operation of the cabinet; SP4.2 When it is necessary to further check the internal circuit status, the operation and maintenance personnel can continue to remotely control the robotic arm (3) and use the mechanical bionic hand to open the cabinet door. The camera (10) carried by the robotic arm (3) penetrates deep into the cabinet to clearly capture the circuit connection status and the appearance details of the components, and transmits them back to the background in real time; SP4.3 When a simple fault such as looseness or detachment of the line is found, the operation and maintenance personnel use the interactive function of the remote monitoring and diagnosis module to control the mechanical bionic hand on the robotic arm (3) to perform simple line connection operations, such as tightening screws and plugging in plugs. During the operation, the camera (10) assists throughout the process.

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