Electric sliding door fault early warning control method, device and equipment and storage medium

Abstract

This invention discloses a method, device, equipment, and storage medium for fault early warning control of electric sliding doors. The method monitors and accumulates the number of unexpected wake-ups of the electric sliding door of a vehicle in real time. When the number of unexpected wake-ups reaches a preset threshold, an alarm message is sent to a cloud server. After receiving the alarm message, the cloud server pushes it to a cloud service platform, which then sends the processed target alarm message to a background processing system for risk handling. This method can promptly detect potential risks in the early stages of safety hazards, avoid functional failures or open flame hazards caused by abnormal high currents due to repeated wake-ups, and automatically match corresponding emergency response strategies according to the risk level. This significantly improves the safety and reliability of the electric sliding door system and provides a solid safety foundation for the intelligent and electric development of new energy vehicles.

Description

Technical Field

[0001] This invention relates to the field of automotive electronic control technology, and in particular to a method, device, equipment, and storage medium for fault early warning control of electric sliding doors. Background Technology

[0002] Electric sliding doors have become a standard feature in new energy MPVs. As vehicles become more electrified and intelligent, and more complex, the working and dormant environments of the electric sliding door's electrical components also become more complex. This often results in the electric sliding door being unexpectedly awakened, causing the sliding door's electrical components to operate at currents outside of their designed scenarios. This can lead to minor malfunctions or, in severe cases, abnormally high currents that could cause open flames.

[0003] Existing patent CN115263119B discloses a control method, device, vehicle, and readable storage medium for an electric sliding door. The method includes: acquiring the state of the electric sliding door and the state of the vehicle; and controlling the electric sliding door to move based on the state of the electric sliding door and the state of the vehicle. However, this solution belongs to the traditional electric sliding door control.

[0004] Existing patent CN115263125B, "Vehicle Sliding Door Control Method, Device, Equipment and Storage Medium," relates to the field of automotive technology and discloses a vehicle sliding door control method, device, equipment and storage medium; however, this solution also belongs to the category of traditional electric sliding door control.

[0005] Neither of these two approaches designed an effective monitoring and early warning mechanism for the unexpected wake-up problem of electric sliding doors under conditions of no user operation commands and no normal system operation requirements. As the electrification and intelligence of new energy vehicles increase, when the sliding door controller frequently experiences abnormal wake-ups under complex electromagnetic interference, it is unable to identify potential safety hazards in a timely manner. It is unable to quantitatively monitor and warn of repeated wake-up events, nor can it establish a safety firewall to prevent functional failures or open flame risks caused by abnormal high currents due to the accumulation of abnormal wake-ups. This seriously restricts the safety and reliability of electric sliding door systems and makes it difficult to meet the high standards of active safety protection required by modern intelligent electric vehicles. Summary of the Invention

[0006] The main objective of this invention is to provide a fault early warning control method, device, equipment, and storage medium for electric sliding doors. This invention aims to solve the technical problem in the prior art where electric sliding doors lack quantitative monitoring and early warning mechanisms when unexpectedly awakened in complex electromagnetic environments, thus failing to effectively prevent functional failures or the risk of open flames caused by abnormally high currents due to repeated awakenings.

[0007] In a first aspect, the present invention provides a fault early warning control method for electric sliding doors, the fault early warning control method for electric sliding doors comprising the following steps: Real-time monitoring and cyclical accumulation of unexpected wake-up counts of the electric sliding doors of the current vehicle; When the number of unexpected wake-ups reaches a preset threshold, an alarm message is sent to the cloud server; After receiving the alarm information, the cloud server pushes it to the cloud service platform, which then sends the processed target alarm information to the back-end processing system for risk handling.

[0008] Optionally, the real-time monitoring and cyclical accumulation of the number of unexpected wake-ups of the electric sliding door of the current vehicle includes: An unexpected wake-up counting function is set in the electric sliding door controller. The unexpected wake-up counting function monitors the current vehicle in real time and accumulates the number of unexpected wake-ups of the electric sliding door of the current vehicle in a loop.

[0009] Optionally, the step of setting an unexpected wake-up counting function in the electric sliding door controller, and monitoring the current vehicle in real time and cyclically accumulating the number of unexpected wake-ups of the electric sliding door of the current vehicle according to the unexpected wake-up counting function, includes: An unexpected wake-up monitoring module is integrated into the electric sliding door controllers on both sides of the current vehicle. The unexpected wake-up counting function of the unexpected wake-up monitoring module monitors the current vehicle's working status in real time, analyzes the working status, identifies and cyclically accumulates the number of unexpected wake-ups of the current vehicle's electric sliding door.

[0010] Optionally, the step of monitoring the current vehicle's operating status in real time through the unexpected wake-up counting function of the unexpected wake-up monitoring module, analyzing the operating status, identifying and cyclically accumulating the number of unexpected wake-ups of the current vehicle's electric sliding door includes: The operating status of the sliding door controller of the current vehicle can be monitored in real time using CAN bus or Ethernet; Analyze the working status to identify the wake-up signal source of the sliding door controller; The unexpected wake-up counting function of the unexpected wake-up monitoring module uses the wake-up signal source to cyclically accumulate the number of unexpected wake-ups of the electric sliding door of the current vehicle.

[0011] Optionally, the unexpected wake-up counting function of the unexpected wake-up monitoring module uses the wake-up signal source to cyclically accumulate the number of unexpected wake-ups of the current vehicle's electric sliding door, including: Identify non-user-initiated wake-up events caused by electromagnetic interference, line abnormalities, or software malfunctions from the wake-up signal source; The number of unexpected wake-up events is counted cyclically by the unexpected wake-up counting function of the unexpected wake-up monitoring module to obtain the number of unexpected wake-ups of the electric sliding door of the current vehicle.

[0012] Optionally, when the number of unexpected wake-ups reaches a preset threshold, sending an alarm message to the cloud server includes: Compare the number of unexpected wake-ups with a preset threshold number. When the number of unexpected wake-ups reaches the preset threshold, an early warning mechanism is triggered through the electric sliding door controller to actively wake up the vehicle network and send an early warning message. The warning message triggers the vehicle networking terminal TBOX to send an alarm message to the cloud server.

[0013] Optionally, when the number of unexpected wake-ups reaches the preset threshold, the step of triggering a warning mechanism through the electric sliding door controller to actively wake up the vehicle network and send a warning message includes: When the number of unexpected wake-ups reaches the preset threshold, the electric sliding door controller triggers an early warning mechanism to actively wake up the vehicle network and send an early warning message containing the current wake-up count, sliding door position identifier, vehicle identification code, and timestamp.

[0014] Optionally, the step of triggering the vehicle-to-everything (TBOX) terminal to send alarm information to the cloud server based on the warning message includes: The vehicle networking terminal TBOX monitors the warning messages in real time via CAN bus or vehicle Ethernet, and generates alarm information containing the vehicle's unique identifier, sliding door type, cumulative number of unexpected wake-ups, the time of the most recent wake-up, and fault code based on the warning messages. The alarm information is encrypted and transmitted to the cloud server via TBOX through a 4G / 5G network.

[0015] Optionally, after receiving the alarm information on the cloud server, the alarm information is pushed to the cloud service platform, whereby the cloud service platform sends the processed target alarm information to the backend processing system for risk handling, including: After receiving the alarm information, the cloud server verifies the alarm information. If the verification is successful, the processed target alarm information is pushed to the cloud service platform. The cloud service platform generates risk information based on the target alarm information and sends the risk information to the back-end processing system so that the back-end processing system can take timely measures to prevent security risks.

[0016] Optionally, after receiving the alarm information on the cloud server, the step of verifying the alarm information and, upon successful verification, pushing the processed target alarm information to the cloud service platform includes: After receiving the alarm information, the cloud server performs integrity verification and security authentication on the alarm information to confirm the legality of the information source and the integrity of the data, and obtains the processed target alarm information. After successful verification, the target alarm information will be pushed to the cloud service platform.

[0017] Optionally, after receiving the alarm information on the cloud server, the step of performing integrity verification and security authentication on the alarm information to confirm the legality of the information source and the integrity of the data, and obtaining the processed target alarm information, includes: After receiving the alarm information, the cloud server performs TBOX digital signature verification, checks the data packet checksum, and confirms the validity of the vehicle identification code. The alarm information is standardized according to a preset data format by the cloud server, and key data elements are extracted and structured to obtain the processed target alarm information.

[0018] Optionally, the step of standardizing the alarm information according to a preset data format through the cloud server, extracting and structuring key data elements, and obtaining the processed target alarm information includes: The alarm information is standardized according to a preset data format by the cloud server, and key data elements including the vehicle unique identification code VIN, alarm timestamp, sliding door position identifier, current wake-up count value, historical alarm frequency, vehicle operating status, and interference source characteristic data are extracted. The key data elements are encapsulated into a JSON format message that conforms to a preset network security standard, and the JSON format message is used as the processed target alarm information.

[0019] Optionally, pushing the target alarm information to the cloud service platform after successful verification includes: After successful verification, the security and reliability of information transmission are determined through end-to-end encryption and two-way authentication mechanisms, and the target alarm information is pushed to the cloud service platform through a secure transmission protocol.

[0020] Optionally, the step of generating risk information based on the target alarm information through the cloud service platform and sending the risk information to the back-end processing system so that the back-end processing system can take timely measures to prevent security risks includes: After receiving the target alarm information through the cloud service platform, the cloud service platform's built-in intelligent risk assessment engine performs multi-dimensional analysis on the target alarm information to determine the risk score and risk level. Risk information is generated based on the risk score and the risk level; The risk information is sent to the back-end processing system so that the back-end processing system can take timely measures to prevent security risks based on the risk information.

[0021] Optionally, after receiving the target alarm information through the cloud service platform, the intelligent risk assessment engine built into the cloud service platform performs multi-dimensional analysis of the target alarm information to determine the risk score and risk level, including: Upon receiving the target alarm information, the cloud service platform performs data integrity verification and security decryption processes. By verifying the digital signature, checking the data packet hash value, and confirming the legitimacy of the message source, the authenticity and integrity of the target alarm information are ensured. The decrypted target alarm information is imported into the intelligent risk assessment engine built into the cloud service platform. The intelligent risk assessment engine performs multi-dimensional analysis on the target alarm information and quantifies the parameters of each dimension through a preset weighting algorithm. A risk score is obtained by linearly combining the parameters of each dimension after quantification, and the risk level is automatically divided according to the risk score and a preset threshold range.

[0022] Optionally, generating risk information based on the risk score and the risk level includes: The risk scores are mapped to a preset risk matrix to determine the risk classification; The risk information template library is invoked to dynamically populate the risk description text, urgency level indicator, and recommended handling plan corresponding to the risk category based on the risk level; Risk information is generated by encapsulating the risk description text, the urgency level identifier, the recommended handling plan, the unique risk identifier, the risk level code, the risk score, the risk description, the risk triggering conditions, the sliding door position identifier, the current wake-up count value, the historical maximum count value, the vehicle operating status, the risk occurrence timestamp, the suggested handling time limit, the recommended handling measures, the vehicle owner's contact information, the vehicle's real-time location, and the digital signature in a preset format.

[0023] Optionally, sending the risk information to the backend processing system so that the backend processing system can take timely measures to prevent security risks based on the risk information includes: The risk information is sent to the back-end processing system through the API interface of the cloud service platform. During the transmission, a preset encryption protocol is used to ensure data security, and a two-way authentication mechanism is implemented to prevent information leakage or tampering. After receiving the risk information, the background processing system performs digital signature verification and data integrity checks. Once it confirms that the source of the risk information is legitimate and has not been tampered with, it initiates the corresponding emergency response process based on the risk level code to prevent security risks.

[0024] Secondly, to achieve the above objectives, the present invention also proposes an electric sliding door fault early warning control device, the electric sliding door fault early warning control device comprising: The real-time monitoring module is used to monitor and continuously accumulate the number of unexpected wake-ups of the electric sliding doors of the current vehicle. The alarm information sending module is used to send alarm information to the cloud server when the number of unexpected wake-ups reaches a preset threshold. The information push processing module is used to push the alarm information to the cloud service platform after the cloud server receives the alarm information, and the cloud service platform sends the processed target alarm information to the background processing system for risk handling.

[0025] Thirdly, to achieve the above objectives, the present invention also proposes an electric sliding door fault early warning control device, the electric sliding door fault early warning control device comprising: a memory, a processor, and an electric sliding door fault early warning control program stored in the memory and executable on the processor, the electric sliding door fault early warning control program being configured to implement the steps of the electric sliding door fault early warning control method described above.

[0026] Fourthly, to achieve the above objectives, the present invention also proposes a storage medium storing an electric sliding door fault early warning control program, wherein when the electric sliding door fault early warning control program is executed by a processor, it implements the steps of the electric sliding door fault early warning control method described above.

[0027] The electric sliding door fault early warning control method proposed in this invention monitors and accumulates the number of unexpected wake-ups of the electric sliding door of the current vehicle in real time. When the number of unexpected wake-ups reaches a preset threshold, an alarm message is sent to the cloud server. After receiving the alarm message, the cloud server pushes it to the cloud service platform, which then sends the processed target alarm message to the background processing system for risk handling. By establishing a quantitative monitoring and early warning mechanism for unexpected wake-ups of electric sliding doors, it can capture and accumulate abnormal wake-up events of the sliding door controller in the absence of user operation commands in real time. When the number of wake-ups reaches a preset safety threshold, a graded early warning process is automatically triggered, realizing a complete safety early warning closed loop from vehicle-side monitoring, cloud analysis to background handling. This not only enables timely detection of potential risks in the early stages of safety hazards, avoiding functional failures or open flame hazards caused by abnormal high currents due to repeated wake-ups, but also automatically matches corresponding emergency response strategies according to the risk level, significantly improving the safety and reliability of the electric sliding door system. This provides a solid safety foundation for the intelligent and electric development of new energy vehicles. At the same time, this mechanism has good scalability and can be applied to the abnormal state monitoring and early warning of other electrical systems in the vehicle. Attached Figure Description

[0028] Figure 1 This is a schematic diagram of the device structure of the hardware operating environment involved in the embodiments of the present invention; Figure 2 This is a flowchart illustrating the first embodiment of the electric sliding door fault early warning control method of the present invention; Figure 3 This is a flowchart illustrating the second embodiment of the electric sliding door fault early warning control method of the present invention; Figure 4 This is a flowchart illustrating the third embodiment of the electric sliding door fault early warning control method of the present invention; Figure 5 This is a flowchart illustrating the fourth embodiment of the electric sliding door fault early warning control method of the present invention; Figure 6 This is a flowchart illustrating the fifth embodiment of the electric sliding door fault early warning control method of the present invention; Figure 7 This is a schematic diagram of the alarm link in the electric sliding door fault early warning control method of the present invention; Figure 8 This is a functional block diagram of the first embodiment of the electric sliding door fault early warning control device of the present invention.

[0029] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0030] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0031] The solution of this invention mainly involves: real-time monitoring and cyclically accumulating the number of unexpected wake-ups of the electric sliding door of the current vehicle; sending an alarm message to the cloud server when the number of unexpected wake-ups reaches a preset threshold; and pushing the alarm message to the cloud service platform after the cloud server receives it, whereby the cloud service platform sends the processed target alarm message to the back-end processing system for risk management. This allows for the establishment of a quantitative monitoring and early warning mechanism for unexpected wake-ups of electric sliding doors, enabling real-time capture and accumulation of abnormal wake-up events of the sliding door controller in the absence of user operation commands. When the number of wake-ups reaches a preset safety threshold, a tiered early warning process is automatically triggered, achieving a complete process from vehicle-side monitoring, cloud analysis, to back-end processing. The safety early warning closed loop can not only detect potential risks in the early stages of safety hazards and avoid the danger of open flame caused by repeated wake-ups leading to functional failure or abnormal high current, but also automatically match the corresponding emergency response strategy according to the risk level. This significantly improves the safety and reliability of the electric sliding door system and provides a solid safety foundation for the intelligent and electric development of new energy vehicles. At the same time, this mechanism has good scalability and can be applied to the abnormal state monitoring and early warning of other electrical systems in the vehicle. It solves the technical problem in the existing technology that electric sliding doors lack quantitative monitoring and early warning mechanisms when unexpected wake-ups occur in complex electromagnetic environments, and cannot effectively prevent the risk of open flame caused by repeated wake-ups leading to functional failure or abnormal high current.

[0032] Reference Figure 1 , Figure 1 This is a schematic diagram of the device structure of the hardware operating environment involved in the embodiments of the present invention.

[0033] like Figure 1 As shown, the device may include: a processor 1001, such as a CPU; a communication bus 1002; a user interface 1003; a network interface 1004; and a memory 1005. The communication bus 1002 is used to enable communication between these components. The user interface 1003 may include a display screen or an input unit such as a keyboard; optionally, the user interface 1003 may also include a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface). The memory 1005 may be high-speed RAM or non-volatile memory, such as a disk drive. Optionally, the memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0034] Those skilled in the art will understand that Figure 1 The device structure shown does not constitute a limitation on the device and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0035] like Figure 1 As shown, the memory 1005, which serves as a storage medium, may include an operating device, a network communication module, a user interface module, and an electric sliding door fault early warning control program.

[0036] The device of the present invention calls the electric sliding door fault early warning control program stored in the memory 1005 through the processor 1001, and performs the following operations: Real-time monitoring and cyclical accumulation of unexpected wake-up counts of the electric sliding doors of the current vehicle; When the number of unexpected wake-ups reaches a preset threshold, an alarm message is sent to the cloud server; After receiving the alarm information, the cloud server pushes it to the cloud service platform, which then sends the processed target alarm information to the back-end processing system for risk handling.

[0037] The device of the present invention calls the electric sliding door fault early warning control program stored in the memory 1005 through the processor 1001, and also performs the following operations: An unexpected wake-up counting function is set in the electric sliding door controller. The unexpected wake-up counting function monitors the current vehicle in real time and accumulates the number of unexpected wake-ups of the electric sliding door of the current vehicle in a loop.

[0038] The device of the present invention calls the electric sliding door fault early warning control program stored in the memory 1005 through the processor 1001, and also performs the following operations: An unexpected wake-up monitoring module is integrated into the electric sliding door controllers on both sides of the current vehicle. The unexpected wake-up counting function of the unexpected wake-up monitoring module monitors the current vehicle's operating status in real time, analyzes the operating status, identifies and cyclically accumulates the number of unexpected wake-ups of the current vehicle's electric sliding door.

[0039] The device of the present invention calls the electric sliding door fault early warning control program stored in the memory 1005 through the processor 1001, and also performs the following operations: The operating status of the sliding door controller of the current vehicle can be monitored in real time using CAN bus or Ethernet; Analyze the working status to identify the wake-up signal source of the sliding door controller; The unexpected wake-up counting function of the unexpected wake-up monitoring module uses the wake-up signal source to cyclically accumulate the number of unexpected wake-ups of the electric sliding door of the current vehicle.

[0040] The device of the present invention calls the electric sliding door fault early warning control program stored in the memory 1005 through the processor 1001, and also performs the following operations: Identify non-user-initiated wake-up events caused by electromagnetic interference, line abnormalities, or software malfunctions from the wake-up signal source; The number of unexpected wake-up events is counted cyclically by the unexpected wake-up counting function of the unexpected wake-up monitoring module to obtain the number of unexpected wake-ups of the electric sliding door of the current vehicle.

[0041] The device of the present invention calls the electric sliding door fault early warning control program stored in the memory 1005 through the processor 1001, and also performs the following operations: Compare the number of unexpected wake-ups with a preset threshold number. When the number of unexpected wake-ups reaches the preset threshold, an early warning mechanism is triggered through the electric sliding door controller to actively wake up the vehicle network and send an early warning message. The warning message triggers the vehicle networking terminal TBOX to send an alarm message to the cloud server.

[0042] The device of the present invention calls the electric sliding door fault early warning control program stored in the memory 1005 through the processor 1001, and also performs the following operations: When the number of unexpected wake-ups reaches the preset threshold, the electric sliding door controller triggers an early warning mechanism to actively wake up the vehicle network and send an early warning message containing the current wake-up count, sliding door position identifier, vehicle identification code, and timestamp.

[0043] The device of the present invention calls the electric sliding door fault early warning control program stored in the memory 1005 through the processor 1001, and also performs the following operations: The vehicle networking terminal TBOX monitors the warning messages in real time via CAN bus or vehicle Ethernet, and generates alarm information containing the vehicle's unique identifier, sliding door type, cumulative number of unexpected wake-ups, the time of the most recent wake-up, and fault code based on the warning messages. The alarm information is encrypted and transmitted to the cloud server via TBOX through a 4G / 5G network.

[0044] The device of the present invention calls the electric sliding door fault early warning control program stored in the memory 1005 through the processor 1001, and also performs the following operations: After receiving the alarm information, the cloud server verifies the alarm information. If the verification is successful, the processed target alarm information is pushed to the cloud service platform. The cloud service platform generates risk information based on the target alarm information and sends the risk information to the back-end processing system so that the back-end processing system can take timely measures to prevent security risks.

[0045] The device of the present invention calls the electric sliding door fault early warning control program stored in the memory 1005 through the processor 1001, and also performs the following operations: After receiving the alarm information, the cloud server performs integrity verification and security authentication on the alarm information to confirm the legality of the information source and the integrity of the data, and obtains the processed target alarm information. After successful verification, the target alarm information will be pushed to the cloud service platform.

[0046] The device of the present invention calls the electric sliding door fault early warning control program stored in the memory 1005 through the processor 1001, and also performs the following operations: After receiving the alarm information, the cloud server performs TBOX digital signature verification, checks the data packet checksum, and confirms the validity of the vehicle identification code. The alarm information is standardized according to a preset data format by the cloud server, and key data elements are extracted and structured to obtain the processed target alarm information.

[0047] The device of the present invention calls the electric sliding door fault early warning control program stored in the memory 1005 through the processor 1001, and also performs the following operations: The alarm information is standardized according to a preset data format by the cloud server, and key data elements including the vehicle unique identification code VIN, alarm timestamp, sliding door position identifier, current wake-up count value, historical alarm frequency, vehicle operating status, and interference source characteristic data are extracted. The key data elements are encapsulated into a JSON format message that conforms to a preset network security standard, and the JSON format message is used as the processed target alarm information.

[0048] The device of the present invention calls the electric sliding door fault early warning control program stored in the memory 1005 through the processor 1001, and also performs the following operations: After successful verification, the security and reliability of information transmission are determined through end-to-end encryption and two-way authentication mechanisms, and the target alarm information is pushed to the cloud service platform through a secure transmission protocol.

[0049] The device of the present invention calls the electric sliding door fault early warning control program stored in the memory 1005 through the processor 1001, and also performs the following operations: After receiving the target alarm information through the cloud service platform, the cloud service platform's built-in intelligent risk assessment engine performs multi-dimensional analysis on the target alarm information to determine the risk score and risk level. Risk information is generated based on the risk score and the risk level; The risk information is sent to the back-end processing system so that the back-end processing system can take timely measures to prevent security risks based on the risk information.

[0050] The device of the present invention calls the electric sliding door fault early warning control program stored in the memory 1005 through the processor 1001, and also performs the following operations: Upon receiving the target alarm information, the cloud service platform performs data integrity verification and security decryption processes. By verifying the digital signature, checking the data packet hash value, and confirming the legitimacy of the message source, the authenticity and integrity of the target alarm information are ensured. The decrypted target alarm information is imported into the intelligent risk assessment engine built into the cloud service platform. The intelligent risk assessment engine performs multi-dimensional analysis on the target alarm information and quantifies the parameters of each dimension through a preset weighting algorithm. A risk score is obtained by linearly combining the parameters of each dimension after quantification, and the risk level is automatically divided according to the risk score and a preset threshold range.

[0051] The device of the present invention calls the electric sliding door fault early warning control program stored in the memory 1005 through the processor 1001, and also performs the following operations: The risk scores are mapped to a preset risk matrix to determine the risk classification; The risk information template library is invoked to dynamically populate the risk description text, urgency level indicator, and recommended handling plan corresponding to the risk category based on the risk level; Risk information is generated by encapsulating the risk description text, the urgency level identifier, the recommended handling plan, the unique risk identifier, the risk level code, the risk score, the risk description, the risk triggering conditions, the sliding door position identifier, the current wake-up count value, the historical maximum count value, the vehicle operating status, the risk occurrence timestamp, the suggested handling time limit, the recommended handling measures, the vehicle owner's contact information, the vehicle's real-time location, and the digital signature in a preset format.

[0052] The device of the present invention calls the electric sliding door fault early warning control program stored in the memory 1005 through the processor 1001, and also performs the following operations: The risk information is sent to the back-end processing system through the API interface of the cloud service platform. During the transmission, a preset encryption protocol is used to ensure data security, and a two-way authentication mechanism is implemented to prevent information leakage or tampering. After receiving the risk information, the background processing system performs digital signature verification and data integrity checks. Once it confirms that the source of the risk information is legitimate and has not been tampered with, it initiates the corresponding emergency response process based on the risk level code to prevent security risks.

[0053] This embodiment, through the above-described scheme, monitors and accumulates the number of unexpected wake-ups of the electric sliding door of the current vehicle in real time. When the number of unexpected wake-ups reaches a preset threshold, an alarm message is sent to the cloud server. After receiving the alarm message, the cloud server pushes it to the cloud service platform, which then sends the processed target alarm message to the back-end processing system for risk handling. By establishing a quantitative monitoring and early warning mechanism for unexpected wake-ups of electric sliding doors, it can capture and accumulate abnormal wake-up events of the sliding door controller in the absence of user operation commands in real time. When the number of wake-ups reaches a preset safety threshold, a graded early warning process is automatically triggered, realizing a complete safety early warning closed loop from vehicle-side monitoring, cloud analysis to back-end handling. This not only enables timely detection of potential risks in the early stages of safety hazards, avoiding functional failures or open flame hazards caused by abnormal high currents due to repeated wake-ups, but also automatically matches corresponding emergency response strategies according to the risk level, significantly improving the safety and reliability of the electric sliding door system. This provides a solid safety foundation for the intelligent and electric development of new energy vehicles. At the same time, this mechanism has good scalability and can be applied to the abnormal state monitoring and early warning of other electrical systems in the vehicle.

[0054] Based on the above hardware structure, an embodiment of the electric sliding door fault early warning control method of the present invention is proposed.

[0055] Reference Figure 2 , Figure 2 This is a flowchart illustrating the first embodiment of the electric sliding door fault early warning control method of the present invention.

[0056] In the first embodiment, the electric sliding door fault early warning control method includes the following steps: Step S10: Monitor and continuously accumulate the number of unexpected wake-ups of the electric sliding door of the current vehicle in real time.

[0057] It should be noted that during vehicle operation and sleep mode, the number of times the electric sliding door controller is unexpectedly woken up without user operation commands or normal system operation requirements can be continuously monitored in real time. The number of times the controller is unexpectedly woken up can be stopped after reaching a preset upper limit to prevent unlimited growth and ensure stable system operation.

[0058] Step S20: When the number of unexpected wake-ups reaches a preset threshold, send an alarm message to the cloud server.

[0059] It should be understood that when the number of unexpected wake-ups reaches a preset threshold, an alarm message can be sent to the cloud server.

[0060] Step S30: After receiving the alarm information on the cloud server, the alarm information is pushed to the cloud service platform, which then sends the processed target alarm information to the background processing system for risk handling.

[0061] Understandably, once the cloud server successfully verifies and receives the unexpected wake-up alarm information from the vehicle, it forwards the alarm data to the professional cloud service platform according to the preset data transmission protocol. The cloud service platform, acting as an intermediate processing layer, sends the processed target alarm information to the back-end processing system through a secure channel, enabling the back-end system to make accurate risk management decisions based on professional analysis results rather than raw data.

[0062] This embodiment, through the above-described scheme, monitors and accumulates the number of unexpected wake-ups of the electric sliding door of the current vehicle in real time. When the number of unexpected wake-ups reaches a preset threshold, an alarm message is sent to the cloud server. After receiving the alarm message, the cloud server pushes it to the cloud service platform, which then sends the processed target alarm message to the back-end processing system for risk handling. By establishing a quantitative monitoring and early warning mechanism for unexpected wake-ups of electric sliding doors, it can capture and accumulate abnormal wake-up events of the sliding door controller in the absence of user operation commands in real time. When the number of wake-ups reaches a preset safety threshold, a graded early warning process is automatically triggered, realizing a complete safety early warning closed loop from vehicle-side monitoring, cloud analysis to back-end handling. This not only enables timely detection of potential risks in the early stages of safety hazards, avoiding functional failures or open flame hazards caused by abnormal high currents due to repeated wake-ups, but also automatically matches corresponding emergency response strategies according to the risk level, significantly improving the safety and reliability of the electric sliding door system. This provides a solid safety foundation for the intelligent and electric development of new energy vehicles. At the same time, this mechanism has good scalability and can be applied to the abnormal state monitoring and early warning of other electrical systems in the vehicle.

[0063] Furthermore, Figure 3 This is a flowchart illustrating the second embodiment of the electric sliding door fault early warning control method of the present invention, as shown below. Figure 3 As shown, based on the first embodiment, a second embodiment of the electric sliding door fault early warning control method of the present invention is proposed. In this embodiment, step S10 specifically includes the following steps: Step S11: Set an unexpected wake-up counting function in the electric sliding door controller, and monitor the current vehicle in real time according to the unexpected wake-up counting function and accumulate the number of unexpected wake-ups of the electric sliding door of the current vehicle in a loop.

[0064] It should be noted that a dedicated monitoring logic and unexpected wake-up counting function are deployed inside the electric sliding door controllers (PSD_L / PSD_R) on both sides of the vehicle. Based on the unexpected wake-up counting function, the current vehicle is monitored in real time and the number of unexpected wake-ups of the electric sliding doors of the current vehicle is accumulated in a loop. This provides an objective basis for subsequent judgment on whether there are any safety hazards in the system and is the basic link of the entire early warning mechanism.

[0065] This embodiment, through the above-described scheme, sets up an unexpected wake-up counting function in the electric sliding door controller. Based on the unexpected wake-up counting function, it monitors the current vehicle in real time and cyclically accumulates the number of unexpected wake-ups of the electric sliding door of the current vehicle. This can transform abnormal wake-up events of the electric sliding door under the condition of no user operation command and no normal system operation requirement into quantifiable safety indicators. By monitoring and cyclically accumulating the number of unexpected wake-ups in real time, the stability level of the sliding door control system can be objectively evaluated, potential safety hazards caused by electromagnetic interference, circuit abnormalities or software failures can be captured in a timely manner, and the accidental interference and continuous risks can be effectively distinguished, providing an accurate and reliable data foundation for subsequent early warning mechanisms.

[0066] Furthermore, Figure 4 This is a flowchart illustrating the third embodiment of the electric sliding door fault early warning control method of the present invention, as shown below. Figure 4 As shown, based on the second embodiment, a third embodiment of the electric sliding door fault early warning control method of the present invention is proposed. In this embodiment, step S11 specifically includes the following steps: Step S111: Integrate the unexpected wake-up monitoring module inside the electric sliding door controllers on the left and right sides of the current vehicle.

[0067] It should be noted that the specially designed monitoring function is directly embedded into the control units of the left (PSD_L) and right (PSD_R) electric sliding doors of the vehicle, rather than as an external attachment; the monitoring module continuously monitors the wake-up signal source of the sliding door controller and can accurately identify wake-up events that are not actively operated by the user caused by electromagnetic interference, circuit abnormalities or software failures.

[0068] Step S112: Monitor the current vehicle's operating status in real time through the unexpected wake-up counting function of the unexpected wake-up monitoring module, analyze the operating status, identify and cyclically accumulate the number of unexpected wake-ups of the current vehicle's electric sliding door.

[0069] It is understandable that by monitoring the unintended wake-up counting function of the unintended wake-up monitoring module in real time, the working status of the current vehicle can be analyzed, thereby identifying and cyclically accumulating the number of unintended wake-ups of the electric sliding door of the current vehicle, ensuring comprehensive monitoring of the stability of the sliding door system, and transforming the originally difficult-to-detect occasional anomalies into quantifiable safety indicators, providing an accurate and reliable data foundation for subsequent early warning mechanisms.

[0070] Furthermore, step S112 specifically includes the following steps: The operating status of the sliding door controller of the current vehicle can be monitored in real time using CAN bus or Ethernet; Analyze the working status to identify the wake-up signal source of the sliding door controller; The unexpected wake-up counting function of the unexpected wake-up monitoring module uses the wake-up signal source to cyclically accumulate the number of unexpected wake-ups of the electric sliding door of the current vehicle.

[0071] It should be understood that by continuously collecting real-time operating data from the left and right sliding door controllers (PSD_L / PSD_R) via the vehicle's existing communication network (Controller Area Network (CAN) bus or Ethernet), including key parameters such as power status, communication activity, wake-up pin level, and internal register status, this data is then analyzed and processed to accurately identify the specific signal source that triggers the sliding door controller to switch from sleep mode to operating mode. This distinguishes between normal user operation (such as door handle sensor signals, central locking switch commands, and remote key signals) and unexpected wake-up sources (such as false triggering caused by electromagnetic interference, abnormal voltage caused by circuit short circuits, and software logic errors). This enables a quantitative assessment of the sliding door system's stability, transforming occasional abnormal wake-up events into measurable safety indicators and effectively avoiding false alarms or missed alarms caused by the inability to distinguish between normal operation and abnormal wake-up.

[0072] Furthermore, the step involves using the unexpected wake-up counting function of the unexpected wake-up monitoring module to cyclically accumulate the number of unexpected wake-ups of the current vehicle's electric sliding door through the wake-up signal source, specifically including the following steps: Identify non-user-initiated wake-up events caused by electromagnetic interference, line abnormalities, or software malfunctions from the wake-up signal source; The number of unexpected wake-up events is counted cyclically by the unexpected wake-up counting function of the unexpected wake-up monitoring module to obtain the number of unexpected wake-ups of the electric sliding door of the current vehicle.

[0073] Understandably, by deeply analyzing the wake-up signal source of the sliding door controller, the system accurately distinguishes between normal user operations (such as manually pulling the door handle, pressing the switch, and remote key signals) and abnormal wake-up events. Specifically, the system monitors the characteristic parameters of the wake-up signal, including signal waveform, duration, triggering timing, and intensity. When a wake-up signal is detected that does not conform to the preset user operation characteristic pattern (such as wake-up accompanied by a handle pull force sensor signal, wake-up when the vehicle is locked, or wake-up signal intensity lower than the normal operation threshold but higher than the noise level), it is determined to be an unexpected wake-up event caused by electromagnetic interference (such as electromagnetic fields generated by nearby high-power electrical appliances), circuit abnormalities (such as wiring harness short circuits or poor contact), or software faults (such as program logic errors or memory overflows). Subsequently, the unexpected wake-up monitoring module starts the counting function, maintaining independent counters (PSD_L_AbnormalWakeupCount and PSD_R_AbnormalWakeupCount) for the left and right sliding doors respectively. Each time such an abnormal event is identified, the count value increases by 1. The initial value of the counter is 0, and the upper limit is 15. After reaching the upper limit, it no longer increases, forming a cyclic accumulation mechanism.

[0074] This embodiment, through the above-described solution, integrates an unexpected wake-up monitoring module within the controllers of the left and right electric sliding doors of the current vehicle. The module's unexpected wake-up counting function monitors the vehicle's operating status in real time, analyzes this status, identifies and cyclically accumulates the number of unexpected wake-ups of the electric sliding doors. By directly integrating the monitoring module within the sliding door controller, it achieves real-time, accurate monitoring and quantitative statistics of unexpected wake-up events of the left and right electric sliding doors. This effectively distinguishes between normal user operation wake-ups and abnormal wake-ups caused by electromagnetic interference, circuit anomalies, or software malfunctions, transforming occasional safety risks into measurable and predictable data indicators, providing an accurate and reliable data foundation for subsequent risk assessment and early warning mechanisms.

[0075] Furthermore, Figure 5 This is a flowchart illustrating the fourth embodiment of the electric sliding door fault early warning control method of the present invention, as shown below. Figure 5 As shown, based on the first embodiment, a fourth embodiment of the electric sliding door fault early warning control method of the present invention is proposed. In this embodiment, step S20 specifically includes the following steps: Step S21: Compare the number of unexpected wake-ups with a preset threshold number.

[0076] It should be noted that the cumulative number of unexpected wake-ups detected by the electric sliding door controller is compared and analyzed with the preset safety threshold to determine whether the abnormal wake-up events have exceeded the range of accidental interference and reached the level that may cause functional failure or electrical safety risks, thereby deciding whether to trigger the early warning mechanism.

[0077] Step S22: When the number of unexpected wake-ups reaches the preset threshold, the electric sliding door controller triggers an early warning mechanism to actively wake up the vehicle network and send an early warning message.

[0078] Understandably, when the number of non-user-initiated wake-up events recorded by the electric sliding door monitoring system reaches a preset safety threshold (e.g., 10 times), the warning logic inside the sliding door controller is automatically activated, initiating the safety warning process. After the warning mechanism is triggered, the sliding door controller will actively wake up the vehicle's CAN network or Ethernet from the low-power sleep state, breaking the vehicle's normal energy-saving sleep state and ensuring smooth network communication.

[0079] Furthermore, step S22 specifically includes the following steps: When the number of unexpected wake-ups reaches the preset threshold, the electric sliding door controller triggers an early warning mechanism to actively wake up the vehicle network and send an early warning message containing the current wake-up count, sliding door position identifier, vehicle identification code, and timestamp.

[0080] It should be understood that when the number of non-user-initiated wake-up events recorded by the electric sliding door monitoring system reaches a preset safety threshold (e.g., 10 times), the warning logic inside the sliding door controller is automatically activated, breaking through the vehicle's normal energy-saving sleep state and actively waking up the vehicle's CAN network or Ethernet to ensure uninterrupted communication and avoid overreacting to occasional interference. After triggering the warning, the controller generates a structured warning message to ensure that the information is accurately attributed to a specific vehicle and records the precise time of the event. These key data together constitute a complete risk description, solving the technical problem of vehicles being unable to report safety hazards in a timely manner when in sleep mode. This ensures that warnings are issued in a timely manner before risks accumulate to the point where they may cause functional failure or electrical fires, while effectively reducing the false alarm rate through threshold settings.

[0081] Step S23: Trigger the vehicle networking terminal TBOX to send alarm information to the cloud server according to the warning message.

[0082] It should be understood that when the electric sliding door controller generates and sends an alarm message containing an unexpected wake-up count value, the vehicle's built-in vehicle networking terminal, namely the Telematics Box (TBOX), captures the message in real time via the CAN bus or vehicle Ethernet to ensure that the alarm information can be transmitted in a timely manner and reflected in the remote monitoring system in real time, providing timely and accurate data support for subsequent cloud-based risk assessment and back-end handling.

[0083] Furthermore, step S23 specifically includes the following steps: The vehicle networking terminal TBOX monitors the warning messages in real time via CAN bus or vehicle Ethernet, and generates alarm information containing the vehicle's unique identifier, sliding door type, cumulative number of unexpected wake-ups, the time of the most recent wake-up, and fault code based on the warning messages. The alarm information is encrypted and transmitted to the cloud server via TBOX through a 4G / 5G network.

[0084] It should be understood that the vehicle's built-in vehicle networking terminal TBOX continuously monitors the vehicle's communication network. Once it detects that the electric sliding door controller has been actively woken up by the vehicle network due to an unexpected wake-up count reaching a threshold (e.g., 10 times), it immediately initiates the data processing flow. TBOX first parses and verifies the warning message to confirm its source legitimacy and data integrity. Then, it extracts key information and generates structured alarm information. The unique vehicle identifier (usually the Vehicle Identification Number, VIN) ensures the alarm information is accurately associated with a specific vehicle; the sliding door type (PSD_L for left side, PSD_R for right side) clarifies the fault location; the cumulative number of unexpected wake-ups quantifies the risk level; the most recent wake-up time provides a time reference for analyzing wake-up frequency; and the fault code (e.g., PSD_AW_001) standardizes the fault type for rapid diagnosis. The generated alarm information is securely processed using encryption algorithms such as AES-256 and can be transmitted via TBOX's built-in 4G / 5G communication module using TLS. 1.3 The security protocol establishes an encrypted channel for transmission to the cloud server, ensuring basic communication functions even when the vehicle is in a dormant state. This process realizes the key transformation from local vehicle warning to remote cloud monitoring, ensuring the timeliness, accuracy, and security of alarm information.

[0085] This embodiment, through the above-described scheme, compares the number of unexpected wake-ups with a preset threshold. When the number of unexpected wake-ups reaches the preset threshold, the electric sliding door controller triggers an early warning mechanism, actively waking up the vehicle network to send an early warning message. Based on the early warning message, the vehicle network terminal TBOX sends an alarm message to the cloud server. By establishing a closed-loop mechanism of quantitative monitoring and intelligent early warning, potential safety hazards in the electric sliding door system can be accurately identified, transforming previously difficult-to-detect sporadic unexpected wake-up events into measurable and predictable safety indicators. By setting a scientifically reasonable preset threshold, it effectively distinguishes between accidental electromagnetic interference and continuous abnormal risks, avoiding overreaction to sporadic interference and neglect of real risks, significantly reducing false alarm and missed alarm rates.

[0086] Furthermore, Figure 6 This is a flowchart illustrating the fifth embodiment of the electric sliding door fault early warning control method of the present invention, as shown below. Figure 6 As shown, based on the first embodiment, a fourth embodiment of the electric sliding door fault early warning control method of the present invention is proposed. In this embodiment, step S30 specifically includes the following steps: Step S31: After receiving the alarm information, the cloud server verifies the alarm information. If the verification is successful, the processed target alarm information is pushed to the cloud service platform.

[0087] It should be noted that after receiving the alarm information, the cloud server can verify the alarm information, and then push the processed target alarm information to the cloud service platform after the verification is successful.

[0088] Furthermore, step S31 specifically includes the following steps: After receiving the alarm information, the cloud server performs integrity verification and security authentication on the alarm information to confirm the legality of the information source and the integrity of the data, and obtains the processed target alarm information. After successful verification, the target alarm information will be pushed to the cloud service platform.

[0089] It should be understood that after receiving the alarm information, the cloud server first performs a strict dual verification mechanism: namely, integrity verification and security authentication, to confirm the legality of the information source and the integrity of the data, obtain the processed target alarm information, and push the target alarm information to the cloud service platform after the verification is passed.

[0090] Furthermore, after the cloud server receives the alarm information, it performs integrity verification and security authentication on the alarm information to confirm the legality of the information source and the integrity of the data, and obtains the processed target alarm information. Specifically, this includes the following steps: After receiving the alarm information, the cloud server performs TBOX digital signature verification, checks the data packet checksum, and confirms the validity of the vehicle identification code. The alarm information is standardized according to a preset data format by the cloud server, and key data elements are extracted and structured to obtain the processed target alarm information.

[0091] In its implementation, upon receiving an alarm message from the vehicle's TBOX transmitted via a 4G / 5G network indicating an unexpected wake-up of the electric sliding door, the cloud server first executes a triple security verification mechanism: TBOX digital signature verification compares the TBOX private key signature with the cloud public key decryption result to confirm that the alarm message indeed originates from a trusted TBOX device of an authorized vehicle and is not maliciously forged; data packet verification and checking calculates the hash value (e.g., SHA-256) of the received data and compares it with the checksum embedded in the data packet to ensure that the information has not been tampered with or corrupted during transmission; and Vehicle Identification Number (VIN) validity verification queries the vehicle registration database to verify that the VIN conforms to the ISO 3779 standard format and belongs to an authorized vehicle, excluding invalid or illegal vehicle information. After successful verification, the cloud server initiates a data standardization process, processing the original alarm information according to a preset industry standard data model (e.g., AUTOSAR or ISO). The system performs a transformation process (20078) to accurately extract key data elements from the original data, including the vehicle's unique identification code, sliding door position identifier (PSD_L / PSD_R), current wake-up count value, historical maximum count value, vehicle operating status (driving / stationary / charging), alarm timestamp, ambient temperature, and electromagnetic interference intensity. These elements are then organized according to a predefined JSON structure, and necessary metadata (such as data reception time, processing status, and security level markers) is added to form a target alarm information that is clearly structured, uniformly formatted, and complete in content.

[0092] Furthermore, the step involves standardizing the alarm information according to a preset data format via the cloud server, extracting and structuring key data elements to obtain the processed target alarm information. Specifically, this includes the following steps: The alarm information is standardized according to a preset data format by the cloud server, and key data elements including the vehicle unique identification code VIN, alarm timestamp, sliding door position identifier, current wake-up count value, historical alarm frequency, vehicle operating status, and interference source characteristic data are extracted. The key data elements are encapsulated into a JSON format message that conforms to a preset network security standard, and the JSON format message is used as the processed target alarm information.

[0093] It should be noted that after completing the security verification of the original alarm information, the cloud server performs the crucial steps of data normalization and structuring. Following a predefined data model (such as AUTOSAR or ISO 21434 standards), it precisely extracts seven core data elements from the original alarm data stream: the Vehicle Identifier (VIN) for accurate association with a specific vehicle, avoiding information confusion; the alarm timestamp recording the precise time of the event, supporting time series analysis; the sliding door position identifier (PSD_L / PSD_R) clearly indicating the specific location of the fault; the current wake-up count quantifying the current risk level; the historical alarm frequency reflecting the persistence of the problem; the vehicle's operating status (driving / stationary / charging) providing the context; and interference source characteristic data capturing possible electromagnetic interference patterns. Subsequently, the cloud server organizes these key elements according to a preset JSON Schema structure, adds necessary security metadata (such as data signatures, encryption identifiers, and access control tags), and ensures that the message format conforms to ISO standards. The 21434 cybersecurity standard requires, among other things, the implementation of data minimization principles, sensitive information anonymization, and the addition of time window markers to prevent replay attacks. The resulting JSON-formatted target alarm information not only maintains data integrity and consistency but also significantly improves data parsability and interoperability.

[0094] Furthermore, after successful verification, the step of pushing the target alarm information to the cloud service platform specifically includes the following steps: After successful verification, the security and reliability of information transmission are determined through end-to-end encryption and two-way authentication mechanisms, and the target alarm information is pushed to the cloud service platform through a secure transmission protocol.

[0095] It should be understood that after completing the integrity verification and security authentication of the alarm information, the cloud server initiates a strict secure transmission process to ensure that the transmission of the target alarm information between the cloud server and the cloud service platform is absolutely secure and reliable. Specifically, the end-to-end encryption mechanism uses advanced encryption algorithms such as Advanced Encryption Standard (AES), AES-256, and Galois Counter Mode (GCM) to encrypt the target alarm information throughout the entire transmission process. This ensures that the data remains encrypted at every node of the transmission link (including network devices, intermediate servers, etc.), and even if the data is intercepted, it cannot be decrypted, effectively preventing the leakage of sensitive vehicle information (such as VIN codes and location data). Simultaneously, the two-way authentication mechanism requires both communicating parties (the cloud server and the cloud service platform) to provide valid digital certificates for authentication. The cloud server verifies whether the cloud service platform's certificate chain was issued by a trusted Certificate Authority (CA) and has not expired, while the cloud service platform similarly verifies the identity of the cloud server. This mutual authentication mechanism effectively prevents the risk of man-in-the-middle attacks and impersonating servers. The entire transmission process is conducted through Transport Layer Security (TLS). The TLS 1.3 secure transport protocol is implemented, providing not only stronger encryption and faster handshake speeds, but also supporting 0-round-trip time (RTT) data transmission to reduce latency. It also implements a Perfect Forward Secrecy (PFS) mechanism to ensure that even if the key is leaked long-term, historical communication content will not be decrypted. Furthermore, a Message Authentication Code (MAC) and timestamp anti-replay mechanism are embedded during transmission to ensure data integrity and timeliness. These security measures together constitute a multi-layered security protection system, ensuring that target alarm information remains both confidential and authentic during transmission, providing a reliable data foundation for subsequent accurate risk assessment by the cloud service platform.

[0096] Step S32: Generate risk information based on the target alarm information through the cloud service platform, and send the risk information to the background processing system so that the background processing system can take timely measures to prevent security risks.

[0097] It is understood that the cloud service platform can generate risk information based on the target alarm information, and then send the risk information to the back-end processing system so that the back-end processing system can take timely measures to respond to the risk information in order to prevent security risks.

[0098] Furthermore, step S32 specifically includes the following steps: After receiving the target alarm information through the cloud service platform, the cloud service platform's built-in intelligent risk assessment engine performs multi-dimensional analysis on the target alarm information to determine the risk score and risk level. Risk information is generated based on the risk score and the risk level; The risk information is sent to the back-end processing system so that the back-end processing system can take timely measures to prevent security risks based on the risk information.

[0099] It should be noted that after receiving the target alarm information, the cloud service platform can perform multi-dimensional analysis of the target alarm information through the intelligent risk assessment engine built into the cloud service platform to determine the risk score and risk level; generate risk information based on the risk score and risk level; and send the risk information to the back-end processing system so that the back-end processing system can take corresponding measures in a timely manner to prevent security risks.

[0100] Furthermore, after receiving the target alarm information through the cloud service platform, the aforementioned step involves performing multi-dimensional analysis of the target alarm information using the intelligent risk assessment engine built into the cloud service platform to determine the risk score and risk level. Specifically, this includes the following steps: Upon receiving the target alarm information, the cloud service platform performs data integrity verification and security decryption processes. By verifying the digital signature, checking the data packet hash value, and confirming the legitimacy of the message source, the authenticity and integrity of the target alarm information are ensured. The decrypted target alarm information is imported into the intelligent risk assessment engine built into the cloud service platform. The intelligent risk assessment engine performs multi-dimensional analysis on the target alarm information and quantifies the parameters of each dimension through a preset weighting algorithm. A risk score is obtained by linearly combining the parameters of each dimension after quantification, and the risk level is automatically divided according to the risk score and a preset threshold range.

[0101] It should be understood that after receiving target alarm information encrypted and transmitted via a cloud server, the cloud service platform (such as the Data Collection and Verification Platform (DCVP)) first initiates a rigorous data verification and decryption process: This involves verifying the TBOX digital signature to confirm the information indeed originates from an authorized vehicle, comparing the Secure Hash Algorithm (SHA) SHA-256 hash value to ensure the data has not been tampered with during transmission, and checking the X.509 certificate chain to verify the legitimacy of the message source, thereby eliminating forged or tampered alarm information and ensuring subsequent analysis is based on authentic and reliable data. After successful verification, the target alarm information is securely decrypted using an AES-256 key to restore the data to a readable form. Subsequently, the decrypted structured data is imported into an intelligent risk assessment engine. This engine performs in-depth analysis of the risk of unexpected wake-up of electric sliding doors from seven key dimensions: current wake-up count (a quantitative indicator from 0-15), alarm frequency (number of wake-ups per unit time), sliding door position (PSD_L / PSD_R), vehicle operating status (driving / stationary / charging), ambient temperature, and historical fault records. The system records electromagnetic interference characteristics; each dimension parameter is quantified using a preset weighting algorithm. For example, the current wake-up count value is non-linearly weighted (60 points for 10-12 times, 90 points for 13-15 times), the alarm frequency is calculated based on the time decay factor, and the risk weight is increased when the ambient temperature exceeds the normal range. Finally, the engine calculates the quantified parameters by linear combination (RiskScore=w1×p1+w2×p2+...+wn×pn, where w is the weight coefficient and p is the parameter value) to generate an accurate risk score (0-100 points), and automatically classifies the risk level according to the preset threshold range (0-60 points is low risk, 61-85 points is medium risk / Level 1 warning, and 86-100 points is high risk / Level 2 warning).

[0102] Furthermore, the step of generating risk information based on the risk score and the risk level specifically includes the following steps: The risk scores are mapped to a preset risk matrix to determine the risk classification; The risk information template library is invoked to dynamically populate the risk description text, urgency level indicator, and recommended handling plan corresponding to the risk category based on the risk level; Risk information is generated by encapsulating the risk description text, the urgency level identifier, the recommended handling plan, the unique risk identifier, the risk level code, the risk score, the risk description, the risk triggering conditions, the sliding door position identifier, the current wake-up count value, the historical maximum count value, the vehicle operating status, the risk occurrence timestamp, the suggested handling time limit, the recommended handling measures, the vehicle owner's contact information, the vehicle's real-time location, and the digital signature in a preset format.

[0103] Understandably, after completing risk scoring and classification, the cloud service platform executes the key process of structured risk information generation: First, the system maps the calculated risk score (0-100 points) to a preset multi-dimensional risk matrix. This matrix considers not only the score value but also contextual factors such as vehicle operating status and sliding door position to determine a more refined risk classification (e.g., "potential electrical safety hazard" corresponds to 10-12 wake-ups, and "high-risk electrical fault" corresponds to 13-15 wake-ups). Subsequently, the system intelligently calls the built-in risk information template library and dynamically selects and fills in the corresponding risk description text (e.g., "inspection") based on the determined risk level and classification. The system detects 13 abnormal wake-ups of the sliding door controller, indicating a risk of electrical overheating; it also displays an urgency level indicator (e.g., "High Risk - Immediate Action Required") and recommended handling measures (e.g., "Immediately check the sliding door control circuit and restrict the automatic opening function"). Finally, the system integrates this information with structured data elements and encapsulates it according to a preset JSON format. The unique risk identifier (format: VIN + timestamp + serial number) ensures the uniqueness of each risk information, the risk level code (LEVEL_1 or LEVEL_2) facilitates rapid system identification, the owner's contact information and the vehicle's real-time location support precise service push, and the digital signature ensures information integrity.

[0104] Furthermore, the step of sending the risk information to the backend processing system enables the backend processing system to take timely measures to prevent security risks based on the risk information, specifically including the following steps: The risk information is sent to the back-end processing system through the API interface of the cloud service platform. During the transmission, a preset encryption protocol is used to ensure data security, and a two-way authentication mechanism is implemented to prevent information leakage or tampering. After receiving the risk information, the background processing system performs digital signature verification and data integrity checks. Once it confirms that the source of the risk information is legitimate and has not been tampered with, it initiates the corresponding emergency response process based on the risk level code to prevent security risks.

[0105] It should be understood that the technical process by which cloud service platforms (such as DCVP) securely transmit structured risk information to the back-end processing system (Vehicle Health Report, VHR) through standardized interfaces such as RESTful APIs or gRPC; during transmission, the data is encrypted end-to-end using the TLS 1.3 encryption protocol, ensuring that even if the data is intercepted on a public network, it cannot be decrypted; simultaneously, a two-way X.509 certificate authentication mechanism is implemented, requiring both communicating parties (the cloud service platform and the back-end processing system) to provide valid digital certificates for mutual authentication, effectively preventing man-in-the-middle attacks and impersonation. After receiving the risk information, the back-end processing system first verifies the message's digital signature (usually using RSA-2048 or Elliptic Curve Digital Signature algorithm). The system uses the ECDSA algorithm to compare the information with the pre-stored public key of the cloud service platform to confirm that the information indeed comes from a trusted source. Then, it calculates and compares the SHA-3 hash value of the message to check data integrity and ensure that the information has not been tampered with during transmission. After successful verification, the system parses the risk level code (such as LEVEL_1 or LEVEL_2) in the risk information and automatically triggers the corresponding emergency response process: For Level 1 warning (wake-up count value 10-12, risk score 61-85), the system starts the standard response process, including pushing notifications through the APP, sending SMS reminders, and generating service appointment tickets; For Level 2 warning (wake-up count value 13-15, risk score 86-100), the system immediately executes a high-level response, not only triggering a red alert notification, but also automatically contacting the nearest authorized service center to arrange emergency testing. After obtaining authorization from the vehicle owner, the system remotely issues safety control commands through VPS (Vehicle Protection System) to temporarily restrict the high-risk function of the sliding door.

[0106] In the specific implementation, see Figure 7 , Figure 7 This is a schematic diagram of the alarm link in the electric sliding door fault early warning control method of the present invention, as shown below. Figure 7As shown, when the left (PSD_L) or right (PSD_R) electric sliding door controller detects an unexpected wake-up event (i.e., an abnormal wake-up without user operation commands or normal system operation requirements), the system begins to accumulate wake-up counts. If the number of unexpected wake-ups does not exceed a preset threshold of 10, monitoring continues without triggering an alarm. Once the number of wake-ups exceeds 10, the system immediately determines that there is a security risk, actively wakes up the dormant vehicle network, generates and sends an application message containing the wake-up count value. This message is first captured by the TBOX (vehicle-to-everything terminal), and after verifying the data integrity, the TBOX transmits the encrypted alarm information to the DCVP (data collection and verification platform) via the 4G / 5G network. The DCVP performs standardized processing and security verification on the alarm information, extracts key data elements, and forwards it to the VHR (vehicle health report cloud service). The VHR analyzes the data based on a preset risk assessment model, generates a risk level assessment, and pushes it to the VPS (Vehicle Protection System Virtual Private Server). Finally, the VPS transmits the structured risk warning information to the back-end processing system. The back-end takes corresponding measures based on the severity of the risk (e.g., a wake-up count of 10-12 indicates a Level 1 warning, and 13-15 indicates a Level 2 warning), including sending warning notifications to the vehicle owner, scheduling maintenance services, or remotely restricting high-risk functions of the sliding door. This link design realizes a complete closed loop from vehicle-side anomaly detection to cloud-based risk assessment and precise back-end handling. By setting a scientific threshold (10 times), it effectively distinguishes between accidental interference and real risks, avoiding overreaction, and ensuring sufficient warning time before safety hazards develop into functional failures or electrical fires, significantly improving the active safety protection capability of the electric sliding door system.

[0107] In this specific implementation, a security firewall is established for the electric sliding door system. When the sliding door controller is unexpectedly awakened, an alarm message is sent to the backend to nip the risk in the bud.

[0108] PSD_L / R (Electric Sliding Door - Left / Right): Add a wake-up count function, cyclically accumulating the number of unexpected wake-ups. When the number of unexpected wake-ups > 10, wake up the vehicle network and send counting signals PSD_L_AbnormalWakeupCount and PSD_R_AbnormalWakeupCount. Add repeated wake-up count signals for the left sliding door and the right sliding door to the application message.

[0109] As shown in Table 1, Table 1 is an example table of repeated wake-up counts for left / right sliding doors:

[0110] 1) The maximum value of the counting signal is 15, the initial value is 0, it is increased by 1 when the device is woken up, and it remains at 15 when the maximum value of 15 is reached.

[0111] 2) When the count signal is greater than 10 (assuming), actively wake up the network and send an application message.

[0112] 3) The count is reset to zero when the bus state is alive for more than 3 minutes (assuming).

[0113] 4) The vehicle designs its own alarm strategy based on repeated wake-up counts.

[0114] TBOX (Vehicle-to-Everything Terminal): If PSD_L_AbnormalWakeupCount / PSD_R_AbnormalWakeupCount > 10 is detected, an alarm will be sent to the cloud (for left and right sliding doors).

[0115] DCVP (Converged Communication Platform): Records alarm information in the cloud and pushes alarm information to VHR.

[0116] VHR (Cloud Service): Pushes alert information to VPS (Virtual Private Server).

[0117] The back-end system will handle the situation according to the severity of the emergency.

[0118] It should be noted that this embodiment establishes a security firewall for the electric sliding door system. When the sliding door controller is unexpectedly awakened, an alarm message is sent to the backend to nip the risk in the bud. Compared with traditional electric sliding doors that do not wake up under abnormal conditions, this embodiment achieves early prevention and early warning, preventing problems before they occur. Compared with traditional electric sliding doors that do not wake up under abnormal conditions, this embodiment can be expanded to warn of more dangerous situations. Compared with traditional electric sliding doors that do not wake up under abnormal conditions, this embodiment proposes a new prevention and warning scheme that can be applied to other systems.

[0119] This embodiment, through the above-described scheme, verifies the alarm information received by the cloud server. Upon successful verification, the processed target alarm information is pushed to the cloud service platform. The cloud service platform generates risk information based on the target alarm information and sends this risk information to the backend processing system, enabling the backend processing system to take timely measures to prevent security risks. By establishing a professional cloud-based verification and risk assessment mechanism, the authenticity and reliability of unexpected alarm information from electric sliding doors are ensured, effectively filtering false alarms caused by communication interference or data anomalies. Furthermore, by performing integrity verification, digital signature authentication, and data logic consistency checks on the alarm information, legitimate and valid security warnings are accurately identified, avoiding the unnecessary occupation of system resources.

[0120] Accordingly, the present invention further provides an electric sliding door fault early warning control device.

[0121] Reference Figure 8, Figure 8 This is a functional block diagram of the first embodiment of the electric sliding door fault early warning control device of the present invention.

[0122] In a first embodiment of the electric sliding door fault early warning control device of the present invention, the electric sliding door fault early warning control device includes: The real-time monitoring module 10 is used to monitor and accumulate the number of unexpected wake-ups of the electric sliding door of the current vehicle in real time.

[0123] The alarm information sending module 20 is used to send alarm information to the cloud server when the number of unexpected wake-ups reaches a preset threshold.

[0124] The information push processing module 30 is used to push the alarm information to the cloud service platform after the cloud server receives the alarm information, and the cloud service platform sends the processed target alarm information to the background processing system for risk handling.

[0125] The real-time monitoring module 10 is also used to set an unexpected wake-up counting function in the electric sliding door controller, and to monitor the current vehicle in real time and accumulate the number of unexpected wake-ups of the electric sliding door of the current vehicle in a loop according to the unexpected wake-up counting function.

[0126] The real-time monitoring module 10 is also used to integrate an unexpected wake-up monitoring module inside the electric sliding door controllers on the left and right sides of the current vehicle; and to monitor the working status of the current vehicle in real time through the unexpected wake-up counting function of the unexpected wake-up monitoring module, analyze the working status, identify and cyclically accumulate the number of unexpected wake-ups of the electric sliding doors of the current vehicle.

[0127] The real-time monitoring module 10 is also used to monitor the working status of the sliding door controller of the current vehicle in real time using a CAN bus or Ethernet; analyze the working status to identify the wake-up signal source of the sliding door controller; and use the wake-up signal source to cyclically accumulate the number of unexpected wake-ups of the electric sliding door of the current vehicle through the unexpected wake-up counting function of the unexpected wake-up monitoring module.

[0128] The real-time monitoring module 10 is also used to identify wake-up events caused by electromagnetic interference, line abnormalities or software failures that are not actively operated by the user from the wake-up signal source; and to obtain the number of unexpected wake-up events by cyclically counting the number of wake-up events through the unexpected wake-up counting function of the unexpected wake-up monitoring module.

[0129] The alarm information sending module 20 is also used to compare the number of unexpected wake-ups with a preset number threshold; when the number of unexpected wake-ups reaches the preset number threshold, the alarm mechanism is triggered through the electric sliding door controller to actively wake up the vehicle network and send an alarm message; and the vehicle network terminal TBOX is triggered to send alarm information to the cloud server according to the alarm message.

[0130] The alarm information sending module 20 is also used to trigger an early warning mechanism through the electric sliding door controller when the number of unexpected wake-ups reaches the preset number threshold, and actively wake up the vehicle network to send an early warning message containing the current wake-up count value, sliding door position identifier, vehicle identification code and timestamp.

[0131] The alarm information sending module 20 is also used to monitor the early warning messages in real time via CAN bus or vehicle Ethernet according to the vehicle network terminal TBOX, generate alarm information including the vehicle's unique identifier, sliding door type, cumulative number of unexpected wake-ups, the time of the most recent wake-up, and fault code according to the early warning messages; and encrypt and transmit the alarm information to the cloud server via 4G / 5G network through TBOX.

[0132] The information push processing module 30 is further configured to verify the alarm information after the cloud server receives the alarm information, and push the processed target alarm information to the cloud service platform after the verification is successful; generate risk information based on the target alarm information through the cloud service platform, and send the risk information to the background processing system so that the background processing system can take timely measures to prevent security risks.

[0133] The information push processing module 30 is further configured to, after receiving the alarm information on the cloud server, perform integrity verification and security authentication on the alarm information, confirm the legality of the information source and the integrity of the data, and obtain the processed target alarm information; and push the target alarm information to the cloud service platform after the verification is passed.

[0134] The information push processing module 30 is also used to perform TBOX digital signature verification, check data packet checksum and confirm the validity of vehicle identification code after the cloud server receives the alarm information; and to standardize the alarm information according to a preset data format through the cloud server, extract and structure key data elements to obtain the processed target alarm information.

[0135] The information push processing module 30 is also used to standardize the alarm information according to a preset data format through the cloud server, extract key data elements including the vehicle unique identification code (VIN), alarm timestamp, sliding door position identifier, current wake-up count value, historical alarm frequency, vehicle operating status, and interference source characteristic data; encapsulate the key data elements into a JSON format message that conforms to a preset network security standard, and use the JSON format message as the processed target alarm information.

[0136] The information push processing module 30 is also used to determine the security and reliability of information transmission through end-to-end encryption and two-way authentication mechanism after the verification is passed, and to push the target alarm information to the cloud service platform through a secure transmission protocol.

[0137] The information push processing module 30 is further configured to receive the target alarm information through the cloud service platform, perform multi-dimensional analysis of the target alarm information through the intelligent risk assessment engine built into the cloud service platform, determine the risk score and risk level, generate risk information based on the risk score and risk level, and send the risk information to the background processing system so that the background processing system can take timely measures to prevent security risks based on the risk information.

[0138] The information push processing module 30 is further configured to, upon receiving the target alarm information through the cloud service platform, execute a data integrity verification and security decryption process. This involves verifying the digital signature, checking the data packet hash value, and confirming the legitimacy of the message source to ensure the authenticity and integrity of the target alarm information. The decrypted target alarm information is then imported into the intelligent risk assessment engine built into the cloud service platform. The intelligent risk assessment engine performs multi-dimensional analysis of the target alarm information and quantifies the parameters of each dimension using a preset weighting algorithm. A risk score is obtained by linearly combining the quantified parameters of each dimension, and the risk level is automatically classified according to a preset threshold range based on the risk score.

[0139] The information push processing module 30 is further configured to map the risk score to a preset risk matrix to determine the risk classification; call the risk information template library to dynamically fill in the risk description text, urgency level identifier, and recommended handling plan corresponding to the risk classification according to the risk level; and encapsulate the risk description text, urgency level identifier, and recommended handling plan in combination with the risk unique identifier, risk level code, risk score value, risk description, risk triggering condition, sliding door position identifier, current wake-up count value, historical maximum count value, vehicle operating status, risk occurrence timestamp, suggested handling time limit, recommended handling measures, vehicle owner contact information, vehicle real-time location, and digital signature in a preset format to generate risk information.

[0140] The information push processing module 30 is also used to send the risk information to the back-end processing system through the cloud service platform using the API interface. During the transmission, a preset encryption protocol is used to ensure data security, and a two-way authentication mechanism is implemented to prevent information leakage or tampering. After the back-end processing system receives the risk information, it performs digital signature verification and data integrity check. After confirming that the source of the risk information is legitimate and has not been tampered with, it initiates the corresponding emergency response process according to the risk level code to prevent security risks.

[0141] The steps for implementing each functional module of the electric sliding door fault early warning control device can be referred to in the various embodiments of the electric sliding door fault early warning control method of the present invention, and will not be repeated here.

[0142] Furthermore, this embodiment of the invention also proposes a storage medium storing an electric sliding door fault early warning control program. When the electric sliding door fault early warning control program is executed by a processor, it performs the following operations: Real-time monitoring and cyclical accumulation of unexpected wake-up counts of the electric sliding doors of the current vehicle; When the number of unexpected wake-ups reaches a preset threshold, an alarm message is sent to the cloud server; After receiving the alarm information, the cloud server pushes it to the cloud service platform, which then sends the processed target alarm information to the back-end processing system for risk handling.

[0143] Furthermore, when the electric sliding door fault early warning control program is executed by the processor, it also performs the following operations: An unexpected wake-up counting function is set in the electric sliding door controller. The unexpected wake-up counting function monitors the current vehicle in real time and accumulates the number of unexpected wake-ups of the electric sliding door of the current vehicle in a loop.

[0144] Furthermore, when the electric sliding door fault early warning control program is executed by the processor, it also performs the following operations: An unexpected wake-up monitoring module is integrated into the electric sliding door controllers on both sides of the current vehicle. The unexpected wake-up counting function of the unexpected wake-up monitoring module monitors the current vehicle's operating status in real time, analyzes the operating status, identifies and cyclically accumulates the number of unexpected wake-ups of the current vehicle's electric sliding door.

[0145] Furthermore, when the electric sliding door fault early warning control program is executed by the processor, it also performs the following operations: The operating status of the sliding door controller of the current vehicle can be monitored in real time using CAN bus or Ethernet; Analyze the working status to identify the wake-up signal source of the sliding door controller; The unexpected wake-up counting function of the unexpected wake-up monitoring module uses the wake-up signal source to cyclically accumulate the number of unexpected wake-ups of the electric sliding door of the current vehicle.

[0146] Furthermore, when the electric sliding door fault early warning control program is executed by the processor, it also performs the following operations: Identify non-user-initiated wake-up events caused by electromagnetic interference, line abnormalities, or software malfunctions from the wake-up signal source; The number of unexpected wake-up events is counted cyclically by the unexpected wake-up counting function of the unexpected wake-up monitoring module to obtain the number of unexpected wake-ups of the electric sliding door of the current vehicle.

[0147] Furthermore, when the electric sliding door fault early warning control program is executed by the processor, it also performs the following operations: Compare the number of unexpected wake-ups with a preset threshold number. When the number of unexpected wake-ups reaches the preset threshold, an early warning mechanism is triggered through the electric sliding door controller to actively wake up the vehicle network and send an early warning message. The warning message triggers the vehicle networking terminal TBOX to send an alarm message to the cloud server.

[0148] Furthermore, when the electric sliding door fault early warning control program is executed by the processor, it also performs the following operations: When the number of unexpected wake-ups reaches the preset threshold, the electric sliding door controller triggers an early warning mechanism to actively wake up the vehicle network and send an early warning message containing the current wake-up count, sliding door position identifier, vehicle identification code, and timestamp.

[0149] Furthermore, when the electric sliding door fault early warning control program is executed by the processor, it also performs the following operations: The vehicle networking terminal TBOX monitors the warning messages in real time via CAN bus or vehicle Ethernet, and generates alarm information containing the vehicle's unique identifier, sliding door type, cumulative number of unexpected wake-ups, the time of the most recent wake-up, and fault code based on the warning messages. The alarm information is encrypted and transmitted to the cloud server via TBOX through a 4G / 5G network.

[0150] Furthermore, when the electric sliding door fault early warning control program is executed by the processor, it also performs the following operations: After receiving the alarm information, the cloud server verifies the alarm information. If the verification is successful, the processed target alarm information is pushed to the cloud service platform. The cloud service platform generates risk information based on the target alarm information and sends the risk information to the back-end processing system so that the back-end processing system can take timely measures to prevent security risks.

[0151] Furthermore, when the electric sliding door fault early warning control program is executed by the processor, it also performs the following operations: After receiving the alarm information, the cloud server performs integrity verification and security authentication on the alarm information to confirm the legality of the information source and the integrity of the data, and obtains the processed target alarm information. After successful verification, the target alarm information will be pushed to the cloud service platform.

[0152] Furthermore, when the electric sliding door fault early warning control program is executed by the processor, it also performs the following operations: After receiving the alarm information, the cloud server performs TBOX digital signature verification, checks the data packet checksum, and confirms the validity of the vehicle identification code. The alarm information is standardized according to a preset data format by the cloud server, and key data elements are extracted and structured to obtain the processed target alarm information.

[0153] Furthermore, when the electric sliding door fault early warning control program is executed by the processor, it also performs the following operations: The alarm information is standardized according to a preset data format by the cloud server, and key data elements including the vehicle unique identification code VIN, alarm timestamp, sliding door position identifier, current wake-up count value, historical alarm frequency, vehicle operating status, and interference source characteristic data are extracted. The key data elements are encapsulated into a JSON format message that conforms to a preset network security standard, and the JSON format message is used as the processed target alarm information.

[0154] Furthermore, when the electric sliding door fault early warning control program is executed by the processor, it also performs the following operations: After successful verification, the security and reliability of information transmission are determined through end-to-end encryption and two-way authentication mechanisms, and the target alarm information is pushed to the cloud service platform through a secure transmission protocol.

[0155] Furthermore, when the electric sliding door fault early warning control program is executed by the processor, it also performs the following operations: After receiving the target alarm information through the cloud service platform, the cloud service platform's built-in intelligent risk assessment engine performs multi-dimensional analysis on the target alarm information to determine the risk score and risk level. Risk information is generated based on the risk score and the risk level; The risk information is sent to the back-end processing system so that the back-end processing system can take timely measures to prevent security risks based on the risk information.

[0156] Furthermore, when the electric sliding door fault early warning control program is executed by the processor, it also performs the following operations: Upon receiving the target alarm information, the cloud service platform performs data integrity verification and security decryption processes. By verifying the digital signature, checking the data packet hash value, and confirming the legitimacy of the message source, the authenticity and integrity of the target alarm information are ensured. The decrypted target alarm information is imported into the intelligent risk assessment engine built into the cloud service platform. The intelligent risk assessment engine performs multi-dimensional analysis on the target alarm information and quantifies the parameters of each dimension through a preset weighting algorithm. A risk score is obtained by linearly combining the parameters of each dimension after quantification, and the risk level is automatically divided according to the risk score and a preset threshold range.

[0157] Furthermore, when the electric sliding door fault early warning control program is executed by the processor, it also performs the following operations: The risk scores are mapped to a preset risk matrix to determine the risk classification; The risk information template library is invoked to dynamically populate the risk description text, urgency level indicator, and recommended handling plan corresponding to the risk category based on the risk level; Risk information is generated by encapsulating the risk description text, the urgency level identifier, the recommended handling plan, the unique risk identifier, the risk level code, the risk score, the risk description, the risk triggering conditions, the sliding door position identifier, the current wake-up count value, the historical maximum count value, the vehicle operating status, the risk occurrence timestamp, the suggested handling time limit, the recommended handling measures, the vehicle owner's contact information, the vehicle's real-time location, and the digital signature in a preset format.

[0158] Furthermore, when the electric sliding door fault early warning control program is executed by the processor, it also performs the following operations: The risk information is sent to the back-end processing system through the API interface of the cloud service platform. During the transmission, a preset encryption protocol is used to ensure data security, and a two-way authentication mechanism is implemented to prevent information leakage or tampering. After receiving the risk information, the background processing system performs digital signature verification and data integrity checks. Once it confirms that the source of the risk information is legitimate and has not been tampered with, it initiates the corresponding emergency response process based on the risk level code to prevent security risks.

[0159] Those skilled in the art will understand that all or part of the steps in the methods described above can be implemented by a program instructing related hardware. The program is stored in a storage medium and includes several instructions to cause a device (which may be a microcontroller, chip, etc.) or processor to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium is a computer-readable storage medium, including: USB flash drive, mobile hard drive, read-only memory (ROM), random access memory (RAM), magnetic disk or optical disk, and other media that can store program code.

[0160] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0161] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0162] The above are merely preferred embodiments of the present invention and do not limit the scope of the patent. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of the present invention.

Claims

1. A fault early warning control method for an electric sliding door, characterized in that, The electric sliding door fault early warning control method includes: Real-time monitoring and cyclical accumulation of unexpected wake-up counts of the electric sliding doors of the current vehicle; When the number of unexpected wake-ups reaches a preset threshold, an alarm message is sent to the cloud server; After receiving the alarm information, the cloud server pushes it to the cloud service platform, which then sends the processed target alarm information to the back-end processing system for risk handling.

2. The electric sliding door fault early warning control method as described in claim 1, characterized in that, The real-time monitoring and cyclical accumulation of unexpected wake-up counts of the current vehicle's electric sliding door includes: An unexpected wake-up counting function is set in the electric sliding door controller. The unexpected wake-up counting function monitors the current vehicle in real time and accumulates the number of unexpected wake-ups of the electric sliding door of the current vehicle in a loop.

3. The electric sliding door fault early warning control method as described in claim 2, characterized in that, The step of setting an unexpected wake-up counting function in the electric sliding door controller, and monitoring the current vehicle in real time and cyclically accumulating the number of unexpected wake-ups of the electric sliding door of the current vehicle according to the unexpected wake-up counting function, includes: An unexpected wake-up monitoring module is integrated into the electric sliding door controllers on both sides of the current vehicle. The unexpected wake-up counting function of the unexpected wake-up monitoring module monitors the current vehicle's operating status in real time, analyzes the operating status, identifies and cyclically accumulates the number of unexpected wake-ups of the current vehicle's electric sliding door.

4. The electric sliding door fault early warning control method as described in claim 3, characterized in that, The method of monitoring the current vehicle's operating status in real time through the unexpected wake-up counting function of the unexpected wake-up monitoring module, analyzing the operating status, identifying and cyclically accumulating the number of unexpected wake-ups of the current vehicle's electric sliding door includes: The operating status of the sliding door controller of the current vehicle can be monitored in real time using CAN bus or Ethernet; Analyze the working status to identify the wake-up signal source of the sliding door controller; The unexpected wake-up counting function of the unexpected wake-up monitoring module uses the wake-up signal source to cyclically accumulate the number of unexpected wake-ups of the electric sliding door of the current vehicle.

5. The electric sliding door fault early warning control method as described in claim 4, characterized in that, The unexpected wake-up counting function of the unexpected wake-up monitoring module uses the wake-up signal source to cyclically accumulate the number of unexpected wake-ups of the current vehicle's electric sliding door, including: Identify non-user-initiated wake-up events caused by electromagnetic interference, line abnormalities, or software malfunctions from the wake-up signal source; The number of unexpected wake-up events is counted cyclically by the unexpected wake-up counting function of the unexpected wake-up monitoring module to obtain the number of unexpected wake-ups of the electric sliding door of the current vehicle.

6. The electric sliding door fault early warning control method as described in claim 1, characterized in that, When the number of unexpected wake-ups reaches a preset threshold, an alarm message is sent to the cloud server, including: Compare the number of unexpected wake-ups with a preset threshold number. When the number of unexpected wake-ups reaches the preset threshold, an early warning mechanism is triggered through the electric sliding door controller to actively wake up the vehicle network and send an early warning message. The warning message triggers the vehicle networking terminal TBOX to send an alarm message to the cloud server.

7. The electric sliding door fault early warning control method as described in claim 6, characterized in that, When the number of unexpected wake-ups reaches the preset threshold, an early warning mechanism is triggered through the electric sliding door controller to actively wake up the vehicle network and send an early warning message, including: When the number of unexpected wake-ups reaches the preset threshold, the electric sliding door controller triggers an early warning mechanism to actively wake up the vehicle network and send an early warning message containing the current wake-up count, sliding door position identifier, vehicle identification code, and timestamp.

8. The electric sliding door fault early warning control method as described in claim 6, characterized in that, The step of triggering the vehicle-to-everything (TBOX) terminal to send alarm information to the cloud server based on the warning message includes: The vehicle networking terminal TBOX monitors the warning messages in real time via CAN bus or vehicle Ethernet, and generates alarm information containing the vehicle's unique identifier, sliding door type, cumulative number of unexpected wake-ups, the time of the most recent wake-up, and fault code based on the warning messages. The alarm information is encrypted and transmitted to the cloud server via TBOX through a 4G / 5G network.

9. The electric sliding door fault early warning control method as described in claim 1, characterized in that, After receiving the alarm information on the cloud server, it is pushed to the cloud service platform, which then sends the processed target alarm information to the backend processing system for risk handling, including: After receiving the alarm information, the cloud server verifies the alarm information. If the verification is successful, the processed target alarm information is pushed to the cloud service platform. The cloud service platform generates risk information based on the target alarm information and sends the risk information to the back-end processing system so that the back-end processing system can take timely measures to prevent security risks.

10. The electric sliding door fault early warning control method as described in claim 9, characterized in that, After receiving the alarm information on the cloud server, the alarm information is verified. If the verification is successful, the processed target alarm information is pushed to the cloud service platform, including: After receiving the alarm information, the cloud server performs integrity verification and security authentication on the alarm information to confirm the legality of the information source and the integrity of the data, and obtains the processed target alarm information. After successful verification, the target alarm information will be pushed to the cloud service platform.

11. The electric sliding door fault early warning control method as described in claim 10, characterized in that, After receiving the alarm information on the cloud server, the system performs integrity verification and security authentication on the alarm information to confirm the legality of the information source and the integrity of the data, thereby obtaining the processed target alarm information, including: After receiving the alarm information, the cloud server performs TBOX digital signature verification, checks the data packet checksum, and confirms the validity of the vehicle identification code. The alarm information is standardized according to a preset data format by the cloud server, and key data elements are extracted and structured to obtain the processed target alarm information.

12. The electric sliding door fault early warning control method as described in claim 11, characterized in that, The process of standardizing the alarm information according to a preset data format via the cloud server, extracting and structuring key data elements, and obtaining the processed target alarm information includes: The alarm information is standardized according to a preset data format by the cloud server, and key data elements including the vehicle unique identification code VIN, alarm timestamp, sliding door position identifier, current wake-up count value, historical alarm frequency, vehicle operating status, and interference source characteristic data are extracted. The key data elements are encapsulated into a JSON format message that conforms to a preset network security standard, and the JSON format message is used as the processed target alarm information.

13. The electric sliding door fault early warning control method as described in claim 10, characterized in that, The step of pushing the target alarm information to the cloud service platform after successful verification includes: After successful verification, the security and reliability of information transmission are determined through end-to-end encryption and two-way authentication mechanisms, and the target alarm information is pushed to the cloud service platform through a secure transmission protocol.

14. The electric sliding door fault early warning control method as described in claim 9, characterized in that, The process of generating risk information based on the target alarm information through the cloud service platform and sending the risk information to the backend processing system so that the backend processing system can take timely measures to prevent security risks includes: After receiving the target alarm information through the cloud service platform, the cloud service platform's built-in intelligent risk assessment engine performs multi-dimensional analysis on the target alarm information to determine the risk score and risk level. Risk information is generated based on the risk score and the risk level; The risk information is sent to the back-end processing system so that the back-end processing system can take timely measures to prevent security risks based on the risk information.

15. The electric sliding door fault early warning control method as described in claim 14, characterized in that, After receiving the target alarm information through the cloud service platform, the system performs multi-dimensional analysis of the target alarm information using the intelligent risk assessment engine built into the cloud service platform to determine the risk score and risk level, including: Upon receiving the target alarm information, the cloud service platform performs data integrity verification and security decryption processes. By verifying the digital signature, checking the data packet hash value, and confirming the legitimacy of the message source, the authenticity and integrity of the target alarm information are ensured. The decrypted target alarm information is imported into the intelligent risk assessment engine built into the cloud service platform. The intelligent risk assessment engine performs multi-dimensional analysis on the target alarm information and quantifies the parameters of each dimension through a preset weighting algorithm. A risk score is obtained by linearly combining the parameters of each dimension after quantification, and the risk level is automatically divided according to the risk score and a preset threshold range.

16. The electric sliding door fault early warning control method as described in claim 14, characterized in that, The step of generating risk information based on the risk score and the risk level includes: The risk scores are mapped to a preset risk matrix to determine the risk classification; The risk information template library is invoked to dynamically populate the risk description text, urgency level indicator, and recommended handling plan corresponding to the risk category based on the risk level; Risk information is generated by encapsulating the risk description text, the urgency level identifier, the recommended handling plan, the unique risk identifier, the risk level code, the risk score, the risk description, the risk triggering conditions, the sliding door position identifier, the current wake-up count value, the historical maximum count value, the vehicle operating status, the risk occurrence timestamp, the suggested handling time limit, the recommended handling measures, the vehicle owner's contact information, the vehicle's real-time location, and the digital signature in a preset format.

17. The electric sliding door fault early warning control method as described in claim 14, characterized in that, The step of sending the risk information to the backend processing system so that the backend processing system can take timely measures to prevent security risks based on the risk information includes: The risk information is sent to the back-end processing system through the API interface of the cloud service platform. During the transmission, a preset encryption protocol is used to ensure data security, and a two-way authentication mechanism is implemented to prevent information leakage or tampering. After receiving the risk information, the background processing system performs digital signature verification and data integrity checks. Once it confirms that the source of the risk information is legitimate and has not been tampered with, it initiates the corresponding emergency response process based on the risk level code to prevent security risks.

18. A fault early warning control device for an electric sliding door, characterized in that, The electric sliding door fault early warning control device includes: The real-time monitoring module is used to monitor and continuously accumulate the number of unexpected wake-ups of the electric sliding doors of the current vehicle. The alarm information sending module is used to send alarm information to the cloud server when the number of unexpected wake-ups reaches a preset threshold. The information push processing module is used to push the alarm information to the cloud service platform after the cloud server receives the alarm information, and the cloud service platform sends the processed target alarm information to the background processing system for risk handling.

19. A fault early warning control device for an electric sliding door, characterized in that, The electric sliding door fault warning control device includes: a memory, a processor, and an electric sliding door fault warning control program stored in the memory and executable on the processor, wherein the electric sliding door fault warning control program is configured to implement the steps of the electric sliding door fault warning control method as described in any one of claims 1 to 17.

20. A storage medium, characterized in that, The storage medium stores an electric sliding door fault warning control program, which, when executed by a processor, implements the steps of the electric sliding door fault warning control method as described in any one of claims 1 to 17.

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