Abnormal restart protection method and system for electric vehicle display instrument

Abstract

The present invention provides an abnormal restart protection method and system for an electric vehicle display instrument, which relates to the technical field of vehicle display instruments, including: obtaining an information flow network based on a structural configuration of the display instrument, the structural configuration being determined based on a sensor-controller-display screen; combining historical restart records, mining restart benchmark information, and dividing abnormal restart types into full-interface restart categories and local system restart categories, the restart benchmark information at least including restart conditions and restart methods; initializing a reset circuit based on a reset control logic; operating and supervising the display instrument, executing data processing and reset control logic decisions, responding to the reset circuit, and managing abnormal restarts of the display instrument. The present invention solves the technical problem that the restart mechanism of the prior art usually relies on preset rules or simple conditional judgments to trigger a reset, and cannot make differentiated processing according to specific abnormal types, resulting in low efficiency of the reset process and poor system stability.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle display instruments, and in particular to an abnormal restart protection method and system for a display instrument of an electric vehicle. Background Art

[0002] As an important part of electric vehicles, the electric vehicle display instrument is responsible for displaying various operating data of the electric vehicle in real time, such as battery power, speed, mileage, etc. In actual use, the display instrument may restart due to electrical interference, hardware failure, software abnormality, etc. These abnormal restarts not only affect the user experience of the electric vehicle, but may also cause data loss or system crash, and even affect driving safety in serious cases.

[0003] Existing restart protection technologies for electric vehicle display instruments mainly focus on managing abnormal restarts through hardware design and software algorithms. These technologies are usually based on hardware fault detection or simple timed restart strategies, often failing to fully consider the complex system structure inside the display instrument, and lack intelligent judgment capabilities. They are unable to make differentiated processing based on specific abnormality types. For example, when only the sensor module fails, the system may still choose to restart the entire interface instead of a partial reset. This not only increases the system response time, but may also cause other parts of the electric vehicle display instrument to restart without reason, affecting its overall efficiency. Summary of the invention

[0004] The present application provides an abnormal restart protection method and system for an electric vehicle display instrument, aiming to solve the technical problems that the restart mechanism of the prior art usually relies on preset rules or simple conditional judgment to trigger reset, cannot make differentiated processing according to the specific abnormal type, lacks the ability of dynamic adaptation, and leads to low efficiency of the reset process and poor system stability.

[0005] The first aspect disclosed in the present application provides an abnormal restart protection method for an electric vehicle display instrument, the method comprising: obtaining an information flow network based on a structural configuration of the display instrument, wherein the structural configuration is determined based on a sensor-controller-display screen; traversing the information flow network, combining historical restart records, and mining restart benchmark information, wherein the abnormal restart type is divided into a full-interface restart class and a local system restart class, and the restart benchmark information at least includes a restart condition and a restart method; introducing a reset circuit, determining a reset control logic based on the restart benchmark information, initializing the reset circuit based on the reset control logic, and the reset circuit is used to perform reset and restart control; operating and supervising the display instrument with respect to the information flow network, executing controller-based data processing and reset control logic decisions, responding to the reset circuit, and performing abnormal restart management on the display instrument.

[0006] The second aspect disclosed in the present application provides an abnormal restart protection system for an electric vehicle display instrument, the system being used for the abnormal restart protection method for the above-mentioned electric vehicle display instrument, the system comprising: an information flow network acquisition module, for acquiring an information flow network of the display instrument based on a structural configuration, wherein the structural configuration is determined based on a sensor-controller-display screen; a restart benchmark information mining module, for traversing the information flow network, and mining restart benchmark information in combination with historical restart records, wherein the abnormal restart type is divided into a full-interface restart class and a local system restart class, and the restart benchmark information at least includes a restart condition and a restart method; a reset circuit initialization module, for introducing a reset circuit, determining a reset control logic based on the restart benchmark information, and initializing the reset circuit based on the reset control logic, wherein the reset circuit is used to perform reset and restart control; an abnormal restart management module, for operating and supervising the display instrument with respect to the information flow network, executing controller-based data processing and reset control logic decisions, responding to the reset circuit, and performing abnormal restart management on the display instrument.

[0007] One or more technical solutions provided in this application have at least the following beneficial effects:

[0008] By obtaining an information flow network based on structural configuration, the information flow relationship between sensors, controllers and display screens in the display instrument system is ensured to be clear. Through this network model, the data exchange and interaction between the various parts of the system can be intuitively identified, providing a clear basis for subsequent fault detection, restart decisions and reset control; by traversing the information flow network and combining historical restart records, key restart benchmark information can be extracted from past restart events. This process achieves accurate classification of abnormal restarts, including full-interface restart classes and local system restart classes, and provides the system with a reliable basis for restart decision-making through clear restart conditions and restart methods. This not only enhances the system's adaptability to different types of faults, but also improves the accuracy of subsequent control and reset operations; by introducing a reset circuit and based on restart benchmark information By determining the reset control logic, effective restart control can be performed through the reset circuit when an abnormality occurs. The reset circuit accurately determines when to perform a full system reset or a partial reset through the reset control logic. In this way, normal operation can be quickly restored when an abnormality occurs, reducing downtime caused by system crashes or module failures, thereby improving the reliability and stability of the system; in the process of executing the operation and supervision of the display instrument, the operating status in the information flow network is monitored, abnormal situations are identified and judged in a timely manner, and the controller-based data processing and reset control logic decisions can accurately identify the restart conditions and respond to the reset circuit to perform a restart operation. This process improves the system's fault self-recovery capability, and can automatically perform abnormal restart management when a fault occurs, thereby ensuring the continuous and stable operation of the display instrument and reducing the need for manual intervention.

[0009] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 A schematic flow chart of an abnormal restart protection method for an electric vehicle display instrument provided in an embodiment of the present application.

[0011] Figure 2 A schematic diagram of the structure of an abnormal restart protection system for an electric vehicle display instrument provided in an embodiment of the present application.

[0012] Explanation of the reference numerals: information flow network acquisition module 10 , restart reference information mining module 20 , reset circuit initialization module 30 , abnormal restart management module 40 . DETAILED DESCRIPTION

[0013] The embodiments of the present application provide an abnormal restart protection method and system for an electric vehicle display instrument, thereby solving the technical problems that the restart mechanism of the prior art usually relies on preset rules or simple conditional judgment to trigger a reset, cannot make differentiated processing according to the specific abnormal type, lacks the ability to dynamically adapt, and leads to low efficiency of the reset process and poor system stability.

[0014] After introducing the basic principles of the present application, various non-limiting implementation methods of the present application will be specifically introduced below in conjunction with the accompanying drawings of the specification. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0015] Embodiment 1, as Figure 1 As shown, the embodiment of the present application provides an abnormal restart protection method for an electric vehicle display instrument, the method comprising:

[0016] An information flow network of a display instrument based on a structural configuration is obtained, wherein the structural configuration is determined based on a sensor-controller-display screen.

[0017] In electric vehicle display instruments, structural configuration refers to how the various modules of the display instrument are organized. Sensors, controllers and display screens are key components, and each component has different functions. Sensors are responsible for collecting various real-time data of the vehicle, such as vehicle speed, battery power, temperature, etc.; controllers process data from sensors and decide how to display information or perform other operations according to predetermined logic; the display screen displays vehicle status information to users, such as speed, battery power, etc., according to the instructions of the controller.

[0018] In this structural configuration, the data flow relationship between the sensor, controller and display screen is first identified. Usually, the sensor transmits the collected data to the controller, and the controller processes the data and presents the results to the user through the display screen. The information flow network is a network diagram that reflects the data flow and interaction relationship between the sensor, controller and display screen. Specifically, this network diagram will show the connection between each sensor and controller, the data transmission path between the controller and the display screen, and the data interaction process between each node.

[0019] The information flow network is traversed, and restart benchmark information is mined in combination with historical restart records, wherein the abnormal restart type is divided into a full interface restart class and a local system restart class, and the restart benchmark information at least includes a restart condition and a restart method.

[0020] Traverse the information flow network, analyze the connection relationships between sensors, controllers, and display screens one by one, and determine the information transmission path between each node. During the traversal process, identify the key nodes in the network, especially those related to data acquisition, data processing, response control, and display. These nodes help locate areas where failures may occur, thereby affecting the occurrence of restart.

[0021] While analyzing the information flow network, historical restart records are collected. These records include restart events that occurred in the past due to certain anomalies, such as system crashes, error triggers, hardware failures, etc. By analyzing historical restart records, common restart patterns, recurring failure points, and specific conditions that cause restarts are identified. Historical record analysis helps determine which parts of the system have failed in the past and may experience similar abnormal restarts in the future.

[0022] Based on the restart record analysis, abnormal restart events are divided into two categories. The full-interface restart category refers to the restart of the entire display system or instrument interface, which usually involves the overall recovery of the display and controller. This type of restart often occurs when there is a system-level error or major failure; the local system restart category refers to a part of the system, such as a sensor or control module, which is restarted separately rather than the entire system. The local system restart is usually triggered by the failure or malfunction of some modules, and other parts of the system may not be affected.

[0023] The restart benchmark information mined includes at least restart conditions and restart methods, where restart conditions include system parameter out of limit, sensor error, controller error, communication failure, etc. By analyzing historical records, it is possible to identify under what circumstances the system will have a full interface restart or a partial system restart; the restart method refers to the recovery measures or strategies taken during restart, such as power off restart, software reset, hardware restart, etc. By analyzing historical restart methods, the recovery methods used for different restart types can be determined.

[0024] A reset circuit is introduced, a reset control logic is determined based on the restart reference information, and the reset circuit is initialized based on the reset control logic. The reset circuit is used to perform reset and restart control.

[0025] The reset circuit is introduced. The reset circuit is a hardware circuit module used to perform reset and restart control. The reset circuit can respond to different types of restarts, including full interface restart and local system restart. Its main function is to send a reset signal according to different control logics to ensure that the display instrument can resume normal operation in the event of an abnormal restart.

[0026] The reset control logic is determined based on the restart reference information, which is used to instruct the reset circuit when to start the reset operation, how to perform the reset, and when to complete the reset process. When specific restart conditions are met, the reset circuit will be triggered to start. The reset control logic also defines the specific operation mode of the restart, such as whether to perform a power-off reset of the system or to recover only through a software reset.

[0027] The reset circuit is initialized based on the reset control logic, which means that the working mode, control signal and operation steps of the reset circuit are programmed and configured according to the reset control logic. For example, the working state of the reset circuit is defined so that it can immediately send a reset signal when a system failure is detected. The reset circuit works in conjunction with the controller, display and other modules. When the controller detects the restart condition, the reset circuit will receive the control signal and start the reset program according to the set logic to achieve reset and restart control.

[0028] The information flow network is used to operate and supervise the display instrument, execute controller-based data processing and reset control logic decisions, respond to the reset circuit, and perform abnormal restart management on the display instrument.

[0029] Continuously monitor the data flow in the information flow network, including monitoring the information exchange between sensors, controllers and display screens to ensure real-time transmission and processing of information. During the information flow process, detect abnormal signals in real time. These abnormal signals can come from sensor errors, controller processing failures, communication failures, display abnormalities, etc. The detection of these abnormal signals provides a decision-making basis for subsequent restart management.

[0030] The controller obtains data from the sensor and processes it to determine whether the restart conditions are met. For example, if the sensor data is monitored to be abnormal, such as exceeding the predetermined threshold or a communication error, the controller executes the corresponding reset control logic through the defined restart reference information, that is, determines whether to trigger a full interface restart or a local system restart. If a system-level abnormality is detected, the full interface is restarted. If only a local component failure is found, only that part of the system is restarted locally.

[0031] When the controller completes the reset decision, it sends a signal to the reset circuit to start the reset operation. The reset circuit performs the reset operation at the hardware or software level to restore the system to its normal state. Through this process, the abnormal restart of the display instrument can be effectively managed to ensure timely response when an abnormality occurs, and the system can be restored to normal operation through the reset circuit.

[0032] Furthermore, the mining of restart benchmark information includes:

[0033] In combination with the information flow network, key network nodes are determined, wherein the key network nodes are nodes related to information collection, processing and response; based on the historical restart records, a first restart record is extracted, and first restart benchmark information is identified, wherein the first restart benchmark information includes restart traceability information-restart conditions-restart methods based on the key network nodes, and the restart traceability information is traceability node information based on displayed abnormalities; the historical restart records are traversed until the identification of the Nth restart benchmark information is completed, and the restart benchmark information is integrated and determined.

[0034] In the information flow network, nodes represent various components of the system, including sensors, controllers, and display screens. Each node is responsible for specific tasks and exchanges information with other nodes. Key network nodes refer to nodes that play a core role in the information flow process, especially nodes that are closely related to information collection, processing, and response. These nodes assume important data transmission and decision-making responsibilities in the system.

[0035] Among them, the information collection related nodes are responsible for collecting data from sensors. Sensors are the main source of information collection in the system, monitoring data such as speed, power, temperature, etc. The status of these sensors directly affects the monitoring capability of the system; the information processing related nodes are responsible for processing the collected information. The controller is the representative of the information processing node. It analyzes and calculates the sensor data and decides the next operation to be performed; the information response related nodes are responsible for responding according to the information processing results. Display screens and other execution devices (such as warning lights, buzzers, etc.) belong to response nodes. They display information or trigger alarms according to the instructions of the controller.

[0036] An analysis object is randomly extracted from the historical restart record as the first restart record, and the first restart benchmark information is identified based on the first restart record, wherein the restart traceability information refers to the root cause or fault source that caused the restart. The restart traceability information here is based on the traceability node information of the display abnormality. For example, if the display screen fails to display normally, the controller may receive an abnormal signal, thereby triggering a restart. The traceability information indicates the specific node where the problem occurred, helping to track and locate the source of the abnormality; the restart condition is the specific condition that causes the restart, including system errors, sensor data abnormalities, controller inability to process data, display screen response failure, etc. The restart condition is the reason for triggering the restart, which is used to determine under what circumstances the system should be reset; the restart method describes the operation method during the reset process, such as restoring the system through software reset, hardware power-off reset or local system restart.

[0037] Traverse the entire historical restart record and analyze each restart event one by one until the extraction of the Nth restart benchmark information is completed. N is the number of historical restart records. This means that all relevant restart events have been analyzed. All N restart benchmark information are integrated to form complete restart benchmark information so that fault prediction, reset decision-making and system optimization can be performed based on this information in the future.

[0038] Further, the integration to determine the restart benchmark information includes:

[0039] The first restart benchmark information to the Nth restart benchmark information are clustered to determine M cluster clusters, where M is a positive integer less than or equal to N; the M cluster clusters are traversed to perform fuzzy logic mining within the clusters to determine M items of restart benchmark information; and the M items of restart benchmark information are integrated as the restart benchmark information.

[0040] The extracted first restart reference information to the Nth restart reference information are clustered. The purpose of clustering is to classify similar restart reference information into the same category to simplify analysis. Specifically, a clustering algorithm, such as K-means, is used to classify the restart reference information into multiple clusters. Each cluster contains restart reference information with similar characteristics. For example, some clusters contain all restart information related to display abnormalities, and other clusters include restarts caused by sensor failures. M represents the number of clustering clusters finally obtained, which is less than or equal to N.

[0041] Fuzzy logic is a method for dealing with uncertainty and ambiguity. In this step, it is used to analyze the data in each cluster. Fuzzy logic can handle ambiguity and uncertainty in data and identify potential patterns and relationships in data within the cluster. For example, for a cluster, fuzzy logic is used to analyze which features are most likely to cause restarts under different restart conditions. Through fuzzy logic mining, the most representative restart benchmark information in each cluster is determined. For example, some restart conditions may occur frequently under specific environments (such as high temperature or low battery). Fuzzy logic mining will help confirm the weight and importance of these conditions. Through fuzzy logic analysis of the data within the cluster, corresponding fuzzy rules are generated to obtain M restart benchmark information. These rules summarize the restart pattern within the cluster, and each rule describes the possibility of restart under specific conditions.

[0042] The M restart benchmark information extracted from each cluster are integrated to form a comprehensive restart benchmark information. The final restart benchmark information helps the controller make more accurate decisions when anomalies occur.

[0043] Further, introducing a reset circuit, determining a reset control logic based on the restart reference information, and initializing the reset circuit based on the reset control logic, comprises:

[0044] A reset circuit is introduced, wherein the reset circuit is an integrated control circuit for abnormal restart protection; based on the restart reference information, M reset logic chains are determined, wherein the reset logic chain uses the restart traceability information as the identification data source for reset judgment, performs reset control judgment based on the restart condition, and performs reset control operation in a restart manner; the M reset logic chains are integrated to determine the reset control logic; programming is performed based on the reset control logic to initialize and configure the reset circuit.

[0045] The reset circuit is introduced. The reset circuit is an integrated control circuit specially designed to perform restart protection when an abnormality occurs in the system. The reset circuit can restart the system through hardware or software means and ensure that the system is restored to a stable initial state. It is closely related to other key components of the system, such as controllers, sensors, displays, etc., and performs precise restart operations according to the control logic.

[0046] The reset logic chain is a set of rules that determine when and how to perform a reset operation. Each reset logic chain will judge the reset conditions based on different restart benchmark information and determine the corresponding restart method. The reset logic chain uses the restart traceability information as the identification data source for the reset judgment. The restart traceability information indicates the root cause of the restart. This information may be an error from the controller or sensor, a system crash, or a hardware failure. The reset logic chain will use this information as the basis for judgment; the reset control judgment is made based on the restart condition. The restart condition describes the system state required for the restart to occur. For example, when the value of a sensor exceeds the predetermined range or the controller detects a certain fault, the reset operation will be triggered; the reset control operation is performed based on the restart method. The restart method indicates the operation that the system should take when restarting. The reset method can be a hardware restart, a software reset, or only restarting a subsystem, such as a local system restart.

[0047] The M reset logic chains are integrated into a unified reset control logic, which is used to instruct the reset circuit how to respond to different restart conditions.

[0048] The reset circuit is programmed based on the reset control logic. The programming process includes converting all reset logic chains into control signals so that the reset circuit can perform corresponding operations according to different restart conditions. If the reset circuit is implemented in hardware, it involves the configuration and programming of hardware components such as the hardware reset controller, timing module, and reset signal generator; if the reset circuit is software-controlled, it is necessary to write corresponding software code in the controller to ensure that the system can trigger the correct reset operation according to the reset logic. After programming is completed, the reset circuit is initialized and configured, which means that all reset-related signals, timing, control parameters, etc. will be configured according to the reset control logic to ensure that the reset circuit can operate according to the predetermined plan when an abnormality occurs.

[0049] Furthermore, integrating the M reset logic chains to determine the reset control logic includes:

[0050] The restart reference information corresponds one-to-one with the M reset logic chains; a reset logic chain is identified as the original logic, wherein the reset logic chain is any one of the M reset logic chains; taking the reset logic chain as the reference, knowledge association mining is performed with the remaining M-1 reset logic chains to determine the knowledge association relationship, wherein the knowledge association relationship represents the reference information variable-logical variable; taking the original logic-knowledge association relationship-correction logic as the framework, the reset control logic is determined.

[0051] The restart benchmark information includes integrated M items of restart benchmark information. Each restart benchmark information corresponds to a specific reset logic chain. By analyzing these benchmark information and matching the appropriate reset logic chain, it is ensured that the appropriate restart method can be selected according to different restart scenarios in actual operation.

[0052] Among all the M reset logic chains, one of them is identified as the original logic. The original logic represents the default behavior of the reset system and is used to handle the most common or basic abnormal situations. Considering the large amount of system logic, directly configuring each restart benchmark information and its corresponding reset logic chain may be very complicated. Therefore, a lightweight processing method is adopted here, that is, first select a representative initial reset logic chain to simplify the configuration of the entire reset system. Although the initial logic is selected as the benchmark, the system will dynamically adjust and correct the logic according to the real-time situation. In actual operation, under different operating conditions, the system may encounter different types of abnormal events. Although the initial logic can cope with some common abnormalities, in some complex or uncommon situations, it is necessary to adapt to the new situation through adjustment and correction. This correction is achieved through knowledge association to ensure that the reset logic can dynamically adapt to different control requirements.

[0053] The reset logic chain is taken as the benchmark and compared with the remaining M-1 reset logic chains. The goal is to explore the correlation between these logic chains, find their commonalities and differences under different restart benchmark information, and determine how each restart benchmark information affects the reset control method by analyzing the relationship between the original logic chain and other reset logic chains. The knowledge association relationship is to determine which conditions (such as restart traceability information, restart conditions) are associated with the reset operation method by comparing different reset logic chains.

[0054] The knowledge association relationship represents the benchmark information variable-logical variable. The benchmark information variable refers to various variables in the restart benchmark information, such as the source of the fault, restart conditions, etc. They provide the specific environment and conditions for triggering the restart; logical variables are the specific decision criteria for reset control, which determine which reset method the system should adopt. By mining the association relationship, we can understand which benchmark information variables have the closest relationship with the logical variables, thereby providing a basis for decision-making.

[0055] Correction logic is a dynamic adjustment mechanism that can adjust reset control decisions based on real-time data and the actual operating environment. The goal of this process is to optimize the control logic based on the original logic and the discovered knowledge associations to ensure that the system can perform reasonable reset operations under different operating conditions. By integrating the original logic, knowledge associations, and correction logic, a dynamic and flexible reset control logic is finally determined. This logic can make appropriate reset decisions based on real-time restart benchmark information and system status, and dynamically adjust according to different operating conditions. Through this integrated logic, reset operations can be performed quickly and accurately when an abnormality occurs, ensuring the stable operation of the display instrument system.

[0056] Further, after the controller-based data processing is performed, it includes:

[0057] Determine the abnormal operation data, perform a first-layer judgment based on the abnormal restart type, and determine the target restart type, wherein the target restart type is the full-interface restart type or the local system restart type; if it is the local system restart type, perform a second-layer judgment to determine the target restart system; for the full-interface restart type or the target restart system, perform abnormal restart management on the display instrument by controlling the reset circuit.

[0058] A large amount of real-time data is collected during operation. These data come from multiple components such as sensors, controllers, and display screens. Abnormal operation data refers to data generated when a fault or abnormal behavior occurs in the system, such as abnormal sensor values, controller overload, communication failure, etc. These abnormal data are analyzed to identify abnormal patterns in the data. For example, if the sensor data exceeds the preset range, or the controller fails to respond normally, the system is determined to be in an abnormal state. Based on the abnormal operation data, a layer of judgment is used to determine which type of restart should be performed, including a full interface restart or a local system restart.

[0059] In the case of a partial system restart, it is necessary to further determine which specific module or part of the system has failed. Since only some components need to be reset in this case, more accurate fault location is required. Specifically, a second-level judgment is performed. This level of judgment determines which module or part of the system needs to be restarted by analyzing different modules within the system. Possible local systems include sensor modules, control modules or display modules. By analyzing the status data of each module, the specific location of the fault can be identified. For example, a temperature sensor failure may cause a local system to restart without restarting the entire system. After confirming the target restart system, a reset operation is performed on the module. This can effectively avoid unnecessary full system restarts and save time and resources.

[0060] For full-interface restart, the reset circuit will start the reset process of the entire display instrument system, including power-off restart, system self-check, and re-initialization of all components; for partial system restart, the reset circuit will only reset the target restart system. For example, if the abnormality is caused by sensor failure, the reset circuit will only restart the sensor module. Through these steps, the restart type can be intelligently determined when an abnormality occurs, and the abnormal restart can be managed by the reset circuit, thereby ensuring that the electric vehicle display instrument system can resume operation efficiently and stably.

[0061] Furthermore, for the full-interface restart type or the target restart system, the abnormal restart management of the display instrument is performed by controlling the reset circuit, including:

[0062] The original logic is corrected and the correction logic is updated by using the full-interface restart class or the target restart system in combination with the knowledge association relationship, wherein the correction logic is initially empty; the correction logic is used as the reset control logic, which responds to the reset circuit to perform restart and reset control on the display instrument.

[0063] The correction logic is initially empty, which means that no adjustments are made for specific abnormal situations or restart modes before the update. This provides an initial state for subsequent corrections, facilitating dynamic adjustments based on actual operating data.

[0064] If a full-interface restart occurs, the system components that need to be reset are determined based on various possible factors during the restart process, such as the combined impact of hardware and software failures, and the control logic is adjusted to ensure the recovery of the entire system. If it is a partial system restart, the target restart system, such as sensors or controllers, is analyzed to determine the problem of specific components and reset them. At this time, the original logic is adjusted to adapt to the specific failure mode based on the situation of the target restart system. Combined with knowledge associations, these associations help understand the inherent connection between various system failures and restarts. During the correction process, the original logic is adjusted based on these knowledge associations.

[0065] The original logic is based on some default assumptions or common restart modes. However, in actual operation, some special or rare fault modes may be encountered. By combining knowledge associations, the original logic is dynamically updated to form a reset logic that is more suitable for the current system state. After correction, the original logic is updated to a new correction logic. This correction logic combines specific restart types and fault information, and can more accurately judge the restart conditions and take appropriate reset measures.

[0066] The correction logic is applied to actual operation as the reset control logic. The reset control logic determines how the reset circuit should respond when an abnormality occurs. For example, depending on the nature of the fault and the restart type, you can choose to restart the entire display instrument or only restart a local system. The corrected reset control logic can accurately control the reset circuit based on these judgments.

[0067] The reset control logic is passed to the reset circuit. After receiving the instruction, the reset circuit starts to perform specific reset operations. For the full interface restart type, the reset circuit will trigger the restart of the entire system to ensure that all components of the system are reinitialized; for the partial system restart, the reset circuit will selectively reset the faulty components to avoid restarting the entire system unnecessarily. Through these steps, when an abnormality occurs, the restart operation can be accurately identified and executed, ensuring that the display instrument can quickly return to normal working state, improving the reliability and stability of the system.

[0068] In summary, the abnormal restart protection method for the electric vehicle display instrument provided in the embodiment of the present application has the following technical effects:

[0069] By obtaining an information flow network based on structural configuration, the information flow relationship between sensors, controllers and display screens in the display instrument system is ensured to be clear. Through this network model, the data exchange and interaction between the various parts of the system can be intuitively identified, providing a clear basis for subsequent fault detection, restart decisions and reset control; by traversing the information flow network and combining historical restart records, key restart benchmark information can be extracted from past restart events. This process achieves accurate classification of abnormal restarts, including full-interface restart classes and local system restart classes, and provides the system with a reliable basis for restart decision-making through clear restart conditions and restart methods. This not only enhances the system's adaptability to different types of faults, but also improves the accuracy of subsequent control and reset operations; by introducing a reset circuit and based on restart benchmark information By determining the reset control logic, effective restart control can be performed through the reset circuit when an abnormality occurs. The reset circuit accurately determines when to perform a full system reset or a partial reset through the reset control logic. In this way, normal operation can be quickly restored when an abnormality occurs, reducing downtime caused by system crashes or module failures, thereby improving the reliability and stability of the system; in the process of executing the operation and supervision of the display instrument, the operating status in the information flow network is monitored, abnormal situations are identified and judged in a timely manner, and the controller-based data processing and reset control logic decisions can accurately identify the restart conditions and respond to the reset circuit to perform a restart operation. This process improves the system's fault self-recovery capability, and can automatically perform abnormal restart management when a fault occurs, thereby ensuring the continuous and stable operation of the display instrument and reducing the need for manual intervention.

[0070] Embodiment 2 is based on the same inventive concept as the abnormal restart protection method for the electric vehicle display instrument in the above embodiment. Figure 2 As shown, the embodiment of the present application provides an abnormal restart protection system for an electric vehicle display instrument, the system comprising:

[0071] An information flow network acquisition module 10 is used to acquire an information flow network of a display instrument based on a structural configuration, wherein the structural configuration is determined based on a sensor-controller-display screen; a restart benchmark information mining module 20 is used to traverse the information flow network, and mine restart benchmark information in combination with historical restart records, wherein the abnormal restart type is divided into a full-interface restart class and a local system restart class, and the restart benchmark information at least includes a restart condition and a restart method; a reset circuit initialization module 30 is used to introduce a reset circuit, determine a reset control logic based on the restart benchmark information, and initialize the reset circuit based on the reset control logic, wherein the reset circuit is used to perform reset and restart control; an abnormal restart management module 40 is used to operate and supervise the display instrument for the information flow network, execute controller-based data processing and reset control logic decisions, respond to the reset circuit, and perform abnormal restart management on the display instrument.

[0072] Furthermore, the restart reference information mining module 20 includes:

[0073] A key network node determination unit is used to determine the key network node in combination with the information flow network, wherein the key network node is a node related to information collection-processing-response; a first restart reference information identification unit is used to extract the first restart record based on the historical restart record, and identify the first restart reference information, wherein the first restart reference information includes restart traceability information-restart conditions-restart method based on the key network node, and the restart traceability information is the traceability node information based on the displayed abnormality; a restart reference information determination unit is used to traverse the historical restart records until the identification of the Nth restart reference information is completed, and the restart reference information is integrated and determined.

[0074] Furthermore, the restart reference information mining module 20 includes:

[0075] A clustering unit is used to cluster the first restart benchmark information to the Nth restart benchmark information to determine M cluster clusters, where M is a positive integer less than or equal to N; a fuzzy logic mining unit is used to traverse the M cluster clusters, perform fuzzy logic mining within the cluster, and determine M items of restart benchmark information; and a restart benchmark information acquisition unit is used to integrate the M items of restart benchmark information as the restart benchmark information.

[0076] Furthermore, the reset circuit initialization module 30 includes:

[0077] A reset circuit introduction unit is used to introduce a reset circuit, wherein the reset circuit is an integrated control circuit for abnormal restart protection; a reset logic chain determination unit is used to determine M reset logic chains based on the restart reference information, wherein the reset logic chain uses the restart traceability information as the identification data source for reset judgment, performs reset control judgment based on the restart condition, and performs reset control operation in a restart manner; a reset control logic determination unit is used to integrate the M reset logic chains and determine the reset control logic; a programming unit is used to perform programming based on the reset control logic to initialize the configuration of the reset circuit.

[0078] Furthermore, the reset circuit initialization module 30 includes:

[0079] A correspondence description unit is used to describe the one-to-one correspondence between the restart reference information and the M reset logic chains; an original logic acquisition unit is used to identify a reset logic chain as the original logic, wherein the reset logic chain is any one of the M reset logic chains; a knowledge association mining unit is used to use the reset logic chain as a reference to perform knowledge association mining with the remaining M-1 reset logic chains to determine the knowledge association relationship, wherein the knowledge association relationship represents the reference information variable-logic variable; a reset control logic determination unit is used to determine the reset control logic based on the original logic-knowledge association relationship-correction logic framework.

[0080] Furthermore, the abnormal restart management module 40 includes:

[0081] A first-layer determination unit is used to determine abnormal operation data, perform a first-layer determination based on the abnormal restart type, and determine a target restart type, wherein the target restart type is the full-interface restart type or the local system restart type; a second-layer determination unit is used to perform a second-layer determination to determine a target restart system if it is a local system restart type; and an abnormal restart management unit is used to perform abnormal restart management on the display instrument by controlling the reset circuit for the full-interface restart type or the target restart system.

[0082] Furthermore, the abnormal restart management module 40 includes:

[0083] A correction unit is used to correct the original logic with the full-interface restart class or the target restart system in combination with the knowledge association relationship, and update the correction logic, wherein the correction logic is initially empty; a restart and reset management unit is used to use the correction logic as the reset control logic, respond to the reset circuit, and perform restart and reset management on the display instrument.

[0084] Through the above-mentioned detailed description of the abnormal restart protection method of the electric vehicle display instrument in this specification, those skilled in the art can clearly understand the abnormal restart protection system of the electric vehicle display instrument in this embodiment. Since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0085] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An abnormal restart protection method for an electric vehicle display instrument, characterized in that: The method comprises: Acquire an information flow network of a display instrument based on a structural configuration, wherein the structural configuration is determined based on a sensor, a controller, and a display screen; Traversing the information flow network, combining historical restart records, and mining restart benchmark information, wherein the abnormal restart type is divided into a full interface restart type and a local system restart type, and the restart benchmark information includes a restart condition and a restart method; The restart conditions include system parameter exceeding the limit, sensor error, controller error, and communication failure; the restart methods include software reset and hardware restart; Introducing a reset circuit, wherein the reset circuit is an integrated control circuit for abnormal restart protection; Based on the restart reference information, determine M reset logic chains, wherein the reset logic chains perform reset control determination based on the restart condition and perform reset control operations in a restart manner; Integrate M reset logic chains to determine reset control logic; Perform programming based on the reset control logic to initialize and configure the reset circuit; For the information flow network, the display instrument is operated and supervised, the controller-based data processing and reset control logic decision is executed, the reset circuit is responded to, and the display instrument is abnormally restarted and managed; The mining restart benchmark information includes: In combination with the information flow network, key network nodes are determined, wherein the key network nodes are nodes related to information collection, processing, and response; Based on the historical restart record, extract a first restart record and identify first restart reference information, wherein the first restart reference information includes restart source tracing information, restart conditions, and restart methods based on the key network node, and the restart source tracing information is source tracing node information based on display anomalies; Traversing the historical restart records until the Nth restart reference information is identified, and integrating and determining the restart reference information; The integrating and determining the restart benchmark information includes: Clustering the first restart reference information to the Nth restart reference information to determine M clusters, where M is a positive integer less than or equal to N, and N is the number of historical restart records; Traversing the M clusters, performing fuzzy logic mining within the clusters, and determining M items of restart benchmark information; The M items of restart reference information are integrated as the restart reference information.

2. The abnormal restart protection method of an electric vehicle display instrument as claimed in claim 1, characterized in that: Integrating the M reset logic chains to determine the reset control logic includes: The M items of restart reference information correspond one-to-one to the M items of reset logic chains; Identify a reset logic chain as the original logic, wherein the reset logic chain is any one of the M reset logic chains; Taking the one reset logic chain as a benchmark, respectively perform knowledge association mining with the remaining M-1 reset logic chains to determine the knowledge association relationship; The original logic, knowledge association relationship, and correction logic are integrated to determine the reset control logic.

3. The abnormal restart protection method of an electric vehicle display instrument as claimed in claim 2, characterized in that: After executing controller-based data processing, including: Determine abnormal operation data, perform a layer of determination based on the abnormal restart type, and determine a target restart type, wherein the target restart type is the full interface restart type or the local system restart type; If it is a local system restart, perform a layer 2 determination to determine the target restart system; For the full-interface restart type or the target restart system, abnormal restart management is performed on the display instrument by controlling the reset circuit.

4. The abnormal restart protection method of an electric vehicle display instrument as claimed in claim 3, characterized in that: For the full-interface restart type or the target restart system, abnormal restart management is performed on the display instrument by controlling the reset circuit, including: Using the full-interface restart class or the target restart system, combined with the knowledge association relationship, the original logic is corrected and the correction logic is updated, wherein the correction logic is initially empty; The correction logic is used as the reset control logic to respond to the reset circuit, and the display instrument is restarted and reset controlled.

5. An abnormal restart protection system for an electric vehicle display instrument, characterized in that: A method for protecting an electric vehicle display instrument from abnormal restart according to any one of claims 1 to 4, the system comprising: An information flow network acquisition module, used to acquire an information flow network based on a structural configuration of a display instrument, wherein the structural configuration is determined based on a sensor, a controller, and a display screen; A restart benchmark information mining module is used to traverse the information flow network, combine historical restart records, and mine restart benchmark information, wherein the abnormal restart type is divided into a full interface restart type and a local system restart type, and the restart benchmark information includes a restart condition and a restart method; A reset circuit initialization module, used for introducing a reset circuit, determining a reset control logic based on the restart reference information, and initializing the reset circuit based on the reset control logic, wherein the reset circuit is used for performing reset and restart control; The abnormal restart management module is used to operate and supervise the display instrument for the information flow network, execute controller-based data processing and reset control logic decisions, respond to the reset circuit, and perform abnormal restart management on the display instrument.

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