Heavy truck battery swap station intelligent operation and maintenance method based on cloud side end and operation and maintenance cloud platform

Abstract

The invention discloses an intelligent operation and maintenance method and an operation and maintenance cloud platform for a heavy truck battery swap station based on a cloud side end, and the method comprises the steps: carrying out fault prediction through a battery swap station monitoring end according to the related information of battery swap station equipment, and transmitting alarm information and fault occurrence time to the operation and maintenance cloud platform when the fault of the battery swap station equipment is predicted; and the operation and maintenance cloud platform determines the emergency degree of the fault based on the received alarm information and the fault occurrence time according to the historical inspection plan and the historical fault record and the maintenance scheme of the battery swap station equipment, and formulates the inspection plan according to the emergency degree of the fault. According to the method, the emergency degree of the fault is determined according to the historical inspection plan and the historical fault record and the maintenance scheme of the battery swap station equipment, whether the fault affects normal operation of the battery swap station or brings potential safety hazards or not is judged, the inspection plan is formulated, and the situation that small faults which are not serious and do not need to be processed occupy human resources is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent operation and maintenance, and in particular to an intelligent operation and maintenance method and an operation and maintenance cloud platform for heavy-duty truck battery swap stations based on cloud-edge terminals. Background Art

[0002] In recent years, new energy heavy-duty trucks have become the biggest bright spot in the heavy-duty truck market, and the number of electric heavy-duty trucks has continued to increase. As one of the ways to replenish electricity for new energy trucks, the battery swap mode only takes 5 minutes compared to the charging mode, which can effectively meet the continuous operation requirements of new energy heavy-duty trucks. With the rapid growth in the number of pure electric heavy-duty trucks, the battery swap market has also flourished. As an important energy replenishment site for electric heavy-duty trucks, the quality of the subsequent operation and maintenance of heavy-duty truck battery swap stations will directly affect the promotion and application of battery swap heavy-duty trucks. In order to reduce the operational inconvenience caused by equipment failures in heavy-duty truck battery swap stations and reduce the operation and maintenance costs of the entire station, it is necessary to implement intelligent operation and maintenance of the entire station, unmanned operation, and improve the operator's operation and maintenance efficiency. At present, the operation and maintenance business of heavy-duty truck battery swap stations is still in its development stage and has not been widely used in heavy-duty truck battery swap stations; as the number of heavy-duty truck battery swap stations continues to increase, the operation and maintenance business of battery swap stations will usher in a period of explosive development.

[0003] At present, the intelligent operation and maintenance methods of heavy-duty truck battery swap stations are generally based on cloud-edge technology. This technology can improve the operation and maintenance efficiency of battery swap stations, reduce the operation and maintenance costs of the entire station, and assist in the market promotion of new energy battery swap heavy-duty trucks.

[0004] For example, the invention patent with publication number CN116342100A discloses an intelligent digital operation and maintenance system for the operation and maintenance of electric vehicle battery swap stations. The system uses a data analysis module to analyze data in real time, and directly generates a work order based on the fault after detecting the fault. It does not use historical data in the fault library to evaluate the fault and determine whether on-site maintenance by operation and maintenance personnel is required. It is easy to waste human resources on faults with less impact or that can be recovered by themselves. Summary of the Invention

[0005] The purpose of the present invention is to provide an intelligent operation and maintenance method and operation and maintenance cloud platform for heavy-duty truck battery swap stations based on the cloud edge, which addresses the technical problem that the existing technology does not use the severity of the fault as an indicator for whether to generate a work order, which easily leads to waste of manpower.

[0006] To solve the above technical problems, the present invention provides a cloud-edge-based intelligent operation and maintenance method for heavy-duty truck swap stations, which includes: The battery swap station monitoring terminal predicts faults based on the relevant information of the battery swap station equipment. When a fault is predicted in the battery swap station equipment, the alarm information and the time of the fault occurrence are sent to the operation and maintenance cloud platform. The operation and maintenance cloud platform determines the urgency of the fault based on the received alarm information and the time of fault occurrence, historical inspection plans, and historical fault records and maintenance plans of the battery swap station equipment, and formulates an inspection plan based on the urgency of the fault.

[0007] Furthermore, the faults existing in the battery swap station equipment include battery swap station robot faults and battery faults. The battery swap station robot faults are determined based on the robot arm working current, the robot arm three-axis motion speed and the robot arm deflection information, and the battery faults are determined based on the battery charging current and battery charging temperature information.

[0008] Furthermore, the operation and maintenance cloud platform determines the urgency of the fault by using a large language model to learn historical inspection plans and historical fault records and maintenance plans of battery swap station equipment.

[0009] Furthermore, the battery swap station monitoring terminal also conducts real-time monitoring of animal intrusion and abnormal human behavior in the battery swap station, issues an alarm when there is animal intrusion or abnormal human behavior, and sends the alarm information to the operation and maintenance cloud platform.

[0010] An operation and maintenance cloud platform is connected to the battery swap station monitoring terminal through a wireless gateway. After receiving the alarm information and the time of the fault, the operation and maintenance cloud platform analyzes the urgency of the fault based on the historical inspection plan and the historical fault records and maintenance plans of the battery swap station equipment, and formulates an inspection plan based on the urgency of the fault.

[0011] Furthermore, the operation and maintenance cloud platform includes an alarm management module and an operation and maintenance knowledge base module. The alarm management module determines the urgency of the fault by using a large language model to learn the historical inspection plans and historical fault records and maintenance plans of the battery swap station equipment stored in the operation and maintenance knowledge base module.

[0012] Furthermore, the operation and maintenance cloud platform also includes a work order management module and a patrol management module. When a future failure of the battery swap station is predicted, the patrol management module formulates a fault patrol plan based on the fault urgency obtained by the alarm management module, guides the work order management module to generate patrol work orders according to the patrol plan, and pushes the patrol work orders to the operation and maintenance personnel through the operation and maintenance terminal application.

[0013] Furthermore, the operation and maintenance cloud platform includes a data analysis module, which is used to compare the faults in the received alarm information with historical fault records. If there is a fault in the historical fault record that is the same as the fault in the alarm information, the solution to the fault type is sent to the work order management module.

[0014] Furthermore, the operation and maintenance cloud platform also includes an operation and maintenance screen, which is used to display alarm information; when the fault in the alarm information is a current fault, the alarm information includes the equipment fault signal and the equipment data in the period before the fault; when the fault in the alarm information is a predicted fault, the alarm information includes the fault signal and the equipment data predicted in the period before the fault.

[0015] Furthermore, the operation and maintenance cloud platform also includes an equipment control module, which is used to send equipment self-test or equipment restart instructions to the battery swap station equipment.

[0016] The beneficial effects of the present invention are as follows: as an improved invention, the present invention uses the battery swap station monitoring terminal to predict faults of the battery swap station equipment, and sends the predicted fault alarm information and fault occurrence time to the operation and maintenance cloud platform; the operation and maintenance cloud platform determines the urgency of the fault based on the received alarm information and fault occurrence time, according to the historical inspection plan and the historical fault records and maintenance plans of the battery swap station equipment, and formulates an inspection plan. The inspection plan formulated in this way not only takes into account the predicted fault situation, but also uses historical maintenance data to analyze the predicted fault, further determine whether the predicted fault requires immediate maintenance, and then improve the inspection plan, so that the operation and maintenance personnel only need to go to the battery swap station to solve more serious faults, avoiding minor faults that are not serious and do not need to be handled and occupying human resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a workflow diagram of the present invention; Figure 2 A diagram showing the working principle of the operation and maintenance system when a failure occurs in a battery swap station according to an embodiment of the present invention; Figure 3 This is a working principle diagram of the operation and maintenance system when an alarm occurs in a battery swap station provided by an embodiment of the present invention; Figure 4 A schematic diagram of the composition of a battery swap station monitoring terminal provided by an embodiment of the present invention; Figure 5 A schematic diagram of the composition of the operation and maintenance cloud platform provided in an embodiment of the present invention.

[0018] In the figure, 1 is the battery swap station monitoring terminal, 11 is the data analysis module, 12 is the equipment control module, 13 is the fault alarm push module, 14 is the fault data reporting module, 2 is the operation and maintenance cloud platform, 21 is the operation and maintenance large screen, 22 is the fault management module, 23 is the work order management module, 24 is the inspection management module, 25 is the alarm management module, 26 is the data analysis module, 27 is the operation and maintenance knowledge base module, 28 is the operation and maintenance terminal application, 29 is the equipment control module, and 3 is the terminal device. DETAILED DESCRIPTION

[0019] The specific embodiments of the present invention will be further described below with reference to the accompanying drawings.

[0020] The present invention uses the battery swap station monitoring terminal 1 to predict faults based on relevant information of the battery swap station equipment. When a fault is predicted in the battery swap station equipment, the alarm information and the time of the fault occurrence are sent to the operation and maintenance cloud platform 2. The operation and maintenance cloud platform 2 uses historical operation and maintenance information to analyze the severity of the fault and formulates an inspection plan based on the severity of the fault. When the fault is more serious according to the historical operation and maintenance information, a work order is generated and operation and maintenance personnel are dispatched to the site for inspection and maintenance, so as to avoid the operation and maintenance personnel going to maintain the battery swap station for minor faults that are not serious and can be restored, resulting in a waste of human resources.

[0021] Operation and Maintenance Cloud Platform Implementation The present invention proposes an operation and maintenance cloud platform 2, which is connected to the battery swap station monitoring terminal 1 through a wireless gateway 4. After receiving the alarm information and the time of the fault occurrence, the operation and maintenance cloud platform 2 analyzes the urgency of the fault based on the historical inspection plan and the historical fault records and maintenance plans of the battery swap station equipment, and formulates an inspection plan based on the urgency of the fault.

[0022] Specifically, such as Figure 3 and Figure 5 As shown, the historical fault records and maintenance plans of the battery swap station equipment are stored in the operation and maintenance knowledge base module 27 of the operation and maintenance cloud platform 2. The operation and maintenance cloud platform 2 also includes an alarm management module 25. The alarm management module 25 performs LoRA (Low-Rank Adaptation) fine-tuning on the built-in large language model based on the historical fault records of the battery swap station equipment and the maintenance plans corresponding to each historical fault record, so that the large language model has the ability to determine the urgency of the fault based on the equipment fault prediction information sent by the battery swap station monitoring terminal 1 and judge whether it is necessary to dispatch operation and maintenance personnel to the battery swap station for on-site operation and maintenance. The historical fault records and maintenance plans of the battery swap station equipment contain information on the urgency of the equipment fault and whether it is necessary to dispatch operation and maintenance personnel to the battery swap station for on-site operation and maintenance. In actual operation and maintenance, since some faults will not affect the normal operation of the battery swap station or can be self-recovered within a period of time, dispatching operation and maintenance personnel for maintenance for every predicted fault may result in a waste of manpower costs. Therefore, the large language model built into the alarm management module 25 determines the urgency of the fault based on the equipment fault prediction information sent by the battery swap station monitoring terminal 1 and judges whether it is necessary to dispatch operation and maintenance personnel.

[0023] Subsequently, the inspection management module 24 in the operation and maintenance cloud platform 2 formulates an inspection plan based on the urgency of the fault. When a fault occurs that will have a significant impact on the normal operation of the battery swap station, it is determined to be more urgent and requires the dispatch of operation and maintenance personnel for maintenance and repair. At this time, the work order management module 23 generates an inspection work order based on the inspection plan and pushes the inspection work order to the operation and maintenance personnel through the operation and maintenance terminal application 28. When the operation and maintenance personnel complete the inspection, they submit the work order completion status, alarm end time, etc. to the work order management module 23 through the operation and maintenance terminal application 28.

[0024] In addition, if Figure 2 As shown, to quickly respond to a fault, when a fault occurs in the battery swap station equipment, the operation and maintenance cloud platform 2 processes the fault information through the fault management module 22, generates a maintenance plan using the inspection management module 24, and generates a maintenance work order based on the maintenance plan in the maintenance work order management module 23. The maintenance work order is then pushed to the operation and maintenance worker using the operation and maintenance terminal application 28. After the operation and maintenance worker completes the repair, he or she must enter the repair plan and the time when the fault is resolved into the operation and maintenance terminal application 28. After the operation and maintenance worker completes the repair, he or she submits the cause of the equipment failure, the completion status of the work order, and the completion time to the work order management module 23 through the operation and maintenance terminal application 28.

[0025] In order to provide accurate maintenance and inspection suggestions to operation and maintenance personnel, the operation and maintenance cloud platform 2 also includes a data analysis module 26.

[0026] When a fault is predicted, the data analysis module 26 compares the predicted fault with historical fault records. If the historical fault records contain a fault of the same type as the currently predicted fault, the solution for that fault type is sent to the work order management module 23. Based on historical data, if the fault is serious and requires an inspection work order to dispatch operations and maintenance personnel to the site, the work order management module 23 pushes the solution for that fault type, along with the inspection work order generated for that fault, to the operations and maintenance terminal application 28, providing inspection recommendations for the operations and maintenance personnel.

[0027] When a sudden failure occurs at the battery swap station, the data analysis module 26 is used to compare the current failure with the historical failure records. If there is a failure of the same type as the current failure in the historical failure records, the solution to the failure type is sent to the work order management module 23. The work order management module 23 pushes the maintenance work order and the solution to the operation and maintenance terminal application 28.

[0028] To more intuitively display the current status of the battery swap station, the operation and maintenance cloud platform 2 also includes an operation and maintenance screen 21, which displays the analysis and prediction results and related data of the battery swap station equipment monitored by the data analysis module 11. The information displayed on the operation and maintenance screen 21 comes from the data analysis module 11, the fault alarm push module 13, and the fault data reporting module 14. The operation and maintenance screen 21 also displays battery swap station equipment fault information and the corresponding fault resolution time, as well as battery swap station alarm information and the corresponding alarm resolution time.

[0029] After completing the fault maintenance or inspection of the battery swap station, the operation and maintenance personnel can send instructions to the equipment control module 29 through the operation and maintenance terminal application 28, so that the equipment control module 29 controls the battery swap station equipment to self-check or restart to confirm that the alarm and fault have been resolved.

[0030] like Figure 4 As shown, in order to provide the operation and maintenance cloud platform 2 with fault prediction information of the battery swap station equipment, the battery swap station monitoring terminal 1 processes the equipment information collected by the terminal device 3 in real time. Specifically, the battery swap station monitoring terminal 1 includes a data analysis module 11, an equipment control module 12, a fault alarm push module 13 and a fault data reporting module 14. When in use, the data analysis module 11 determines the current battery swap station equipment information through the judgment module, and monitors in real time whether a sudden fault occurs in the battery swap station. If a sudden fault occurs and the value of the battery swap station equipment exceeds the threshold preset by the judgment module, the fault information is pushed to the fault management module 22 through the fault alarm push module 13, and the data at the time of the equipment failure and a period of time before is packaged as fault data and sent to the fault management module 22 through the fault data reporting module 14.

[0031] The data analysis module 11 analyzes and predicts the battery swap station equipment information collected by the terminal device 3 using artificial intelligence algorithms such as the LSTM prediction algorithm, generating a device data curve for the future. Subsequently, the judgment module within the module determines the device data curve for the future period, monitoring whether the equipment is likely to fail within the next period based on a set threshold. If a future failure is likely, the fault alarm push module 13 sends an alarm message to the alarm management module 25.

[0032] The device control module 12 is mainly used to transmit the self-test or restart command of the battery swap station equipment issued by the device lower control module 29 to the terminal device 3.

[0033] In order to provide the operation and maintenance cloud platform 2 with real-time data of the battery swap station equipment, the terminal device 3 uses sensors to monitor the battery swap station equipment in real time.

[0034] Specifically, to monitor battery failures, terminal device 3 uses a battery temperature sensor to collect real-time data on the battery temperature within the battery swap station. It also uses an ambient temperature sensor to monitor the temperature of the battery charging environment. Furthermore, it uses an ammeter to collect the battery charging current. The battery temperature, ambient temperature, and charging current are used as data to predict battery failures.

[0035] To monitor the battery swap station robot for operational failures, the terminal device 3 collects the three-axis operating current and three-axis motion speed of the robot's manipulator in real time, and uses the three-axis operating current and three-axis motion speed of the manipulator as data for predicting robot operational failures.

[0036] In order to monitor the failure of the robot arm of the battery swap station, the terminal device 3 monitors the deflection of the robot arm in real time through a laser, and uses the deflection of the robot arm as data for predicting the failure of the robot arm of the battery swap station.

[0037] In order to further improve the stability of the battery swap station operation and eliminate more safety hazards, the terminal device 3 can also obtain the personnel status and animal intrusion information in the battery swap station, and transmit the personnel status and animal intrusion information in the battery swap station to the data analysis module 11 for analysis. When there is animal intrusion and abnormal personnel status, the alarm information is sent to the alarm management module 25 through the fault alarm push module 13.

[0038] In order to monitor abnormal behavior of personnel, the terminal device 3 uses a camera to shoot real-time video inside the battery swap station.

[0039] In order to monitor animal intrusion behavior, the terminal device 3 uses a camera to capture real-time video images of the rolling gate of the battery swap station.

[0040] As another embodiment, the terminal device 3 may also utilize an infrared sensor or an infrared camera to perform real-time monitoring of the gate of the battery swap station.

[0041] Operation and maintenance method implementation example like Figure 1 As shown in the figure, the present invention proposes a cloud-edge-end based intelligent operation and maintenance method for heavy-duty truck battery swap stations. The terminal device 3 collects relevant information about the battery swap station equipment. The battery swap station monitoring terminal 1 performs fault prediction based on the relevant information of the battery swap station equipment. When a fault is predicted in the battery swap station equipment, the alarm information and the time of the fault occurrence are sent to the operation and maintenance cloud platform 2. Based on the received alarm information and the time of the fault occurrence, the operation and maintenance cloud platform 2 determines the urgency of the fault according to the historical inspection plan and the historical fault records and maintenance plans of the battery swap station equipment. Based on the historical operation and maintenance data, it determines whether the fault will affect the normal operation of the battery swap station or pose a safety hazard, and then formulates an inspection plan.

[0042] Specifically, battery swap station equipment primarily includes a battery swap station robot and batteries. Robot failures are primarily identified through the robot's operating current, three-axis motion speed, and deflection. Specifically, the robot's input and output currents are used to determine if the robot's circuit is faulty. The three-axis motion speed is used to determine if the robot's motion is faulty. The deflection of the robot is used to determine if the robot's shape is normal, preventing excessive bending. Battery failures are primarily identified through the battery charging current and temperature.

[0043] A large language model is set up in the operation and maintenance cloud platform 2. Through the large language model, the historical inspection plans and historical fault records and maintenance plans of the battery swap station equipment are learned, and the maintenance plans of different types of faults in the historical operation and maintenance are summarized. The urgency of the fault is learned according to whether the different types of faults require emergency repair, simple maintenance or inspection and monitoring.

[0044] At the same time, the terminal device 3 also obtains information on human behavior and animal intrusion in the battery swap station in real time, and transmits the information to the battery swap station monitoring terminal 1. The battery swap station monitoring terminal 1 monitors animal intrusion and abnormal human behavior in the battery swap station in real time. When there is animal intrusion or abnormal human behavior, the alarm information and alarm time are sent to the operation and maintenance cloud platform 2.

[0045] The specific implementation process has been described in detail in the operation and maintenance cloud platform embodiment and will not be repeated here.

Claims

1. A cloud-edge-based intelligent operation and maintenance method for heavy-duty truck swap stations, characterized in that: The method includes: The battery swap station monitoring terminal (1) performs fault prediction based on the relevant information of the battery swap station equipment. When a fault is predicted in the battery swap station equipment, the monitoring terminal sends the alarm information and the time of the fault to the operation and maintenance cloud platform (2); The operation and maintenance cloud platform (2) determines the urgency of the fault based on the received alarm information and the time of the fault occurrence, according to the historical inspection plan and the historical fault records and maintenance plans of the battery swap station equipment, and formulates an inspection plan based on the urgency of the fault.

2. The intelligent operation and maintenance method of a heavy-duty truck swap station based on cloud-edge terminal according to claim 1 is characterized in that: The faults of battery swap station equipment include battery swap station robot faults and battery faults. The battery swap station robot faults are determined based on the working current of the robotic arm, the three-axis motion speed of the robotic arm and the deflection information of the robotic arm. The battery faults are determined based on the battery charging current and battery charging temperature information.

3. The cloud-edge-based intelligent operation and maintenance method for heavy-duty truck swap stations according to claim 1 is characterized in that: The operation and maintenance cloud platform (2) determines the urgency of a fault by using a big data model to learn from historical inspection plans and historical fault records and maintenance plans of battery swap station equipment.

4. The cloud-edge-based intelligent operation and maintenance method for heavy-duty truck swap stations according to claim 1 is characterized in that: The battery swap station monitoring terminal (1) also monitors animal intrusion and abnormal human behavior in the battery swap station in real time, issues an alarm when there is animal intrusion or abnormal human behavior, and sends the alarm information to the operation and maintenance cloud platform (2).

5. An operation and maintenance cloud platform, wherein the operation and maintenance cloud platform (2) is connected to the battery swap station monitoring terminal (1) via a wireless gateway (4), characterized in that: After receiving the alarm information and the time of the fault occurrence, the operation and maintenance cloud platform (2) analyzes the urgency of the fault based on the historical inspection plan and the historical fault records and maintenance plans of the battery swap station equipment, and formulates an inspection plan based on the urgency of the fault.

6. The operation and maintenance cloud platform according to claim 5, characterized in that: The operation and maintenance cloud platform (2) includes an alarm management module (25) and an operation and maintenance knowledge base module (27). The alarm management module (25) determines the urgency of a fault by using a large language model to learn historical inspection plans and historical fault records and maintenance plans of battery swap station equipment stored in the operation and maintenance knowledge base module (27).

7. The operation and maintenance cloud platform according to claim 5, characterized in that: The operation and maintenance cloud platform (2) further includes a work order management module (23) and an inspection management module (24). When a future fault of the battery swap station is predicted, the inspection management module (24) formulates a fault inspection plan based on the fault urgency obtained by the alarm management module (25), guides the work order management module (23) to generate an inspection work order according to the inspection plan, and pushes the inspection work order to the operation and maintenance personnel through the operation and maintenance terminal application (28).

8. The operation and maintenance cloud platform according to claim 6, characterized in that: The operation and maintenance cloud platform includes a data analysis module (26), which is used to compare the fault in the received alarm information with the historical fault record. If there is a fault in the historical fault record that is the same as the fault in the alarm information, the solution to the fault type is sent to the work order management module (23).

9. The operation and maintenance cloud platform according to claim 5, characterized in that: The operation and maintenance cloud platform (2) further includes an operation and maintenance screen (21), which is used to display alarm information; when the fault in the alarm information is a current fault, the alarm information includes a device fault signal and data of the device in a period of time before the fault; when the fault in the alarm information is a predicted fault, the alarm information includes a fault signal and predicted device data in a period of time before the fault.

10. The operation and maintenance cloud platform according to claim 5, characterized in that: The operation and maintenance cloud platform (2) further includes a device control module (29), which is used to send a device self-test or device restart instruction to the battery swap station equipment.

Images