Intelligent linkage control method and system for driving control device assembly and combination switch

Abstract

The present application provides a method and system for intelligent linkage control of a driving control device assembly and a combination switch, which relates to the field of vehicle-mounted electronic control technology, including: splitting linkage functions based on related functional requirements, establishing functional logic modules, including input modules, logic processing modules, and output modules; analyzing linkage behavior relationships according to related functional requirements, and establishing a logical relationship map; identifying scene conflicts according to related functional requirements, and configuring functional requirement priorities; integrating the logical relationship map and functional requirement priorities, and mapping them to the functional logic module for linkage control. This application can solve the technical problems of the lack of precise and intelligent coordinated control between the steering wheel assembly and the combination switch in traditional vehicle-mounted systems, resulting in untimely system response, unsmooth operation, and uncoordinated functional linkage; it can significantly improve the timeliness of system response and the smoothness of operation, and achieve more intelligent and safe linkage control.

Description

Technical Field

[0001] The present application relates to the field of vehicle-mounted electronic control technology, and in particular to a method and system for intelligent linkage control of a driving control device assembly and a combination switch. Background Art

[0002] The steering wheel assembly and combination switch are key components in the vehicle control system. They are jointly responsible for basic operations such as vehicle steering, lighting control, and wiper control. The steering wheel assembly usually includes components such as the steering wheel and steering angle sensor, while the combination switch includes switches for turn signals, high and low beam lights, wipers, horns, etc. These functional modules often need to cooperate with each other during driving, such as turning on the turn signal and turning the steering wheel, and automatically switching the high beam.

[0003] At present, the coordinated control between the steering wheel assembly and the combination switch in the traditional vehicle system is relatively simple, and is usually handled separately by independent control units. There is a lack of intelligent linkage mechanism. In complex driving scenarios, it is impossible to make intelligent linkage responses based on the driver's real-time needs and behaviors, and there are problems such as untimely system response, unsmooth operation, and uncoordinated functional linkage. Summary of the invention

[0004] The purpose of this application is to provide a method and system for intelligent linkage control of a driving control device assembly and a combination switch, so as to solve technical problems such as lack of precise and intelligent coordinated control between the steering wheel assembly and the combination switch in traditional vehicle-mounted systems, resulting in untimely system response, unsmooth operation and uncoordinated functional linkage.

[0005] In view of the above problems, the present application provides a method and system for intelligent linkage control of a driving control device assembly and a combination switch.

[0006] In the first aspect, the present application provides a method for intelligent linkage control of a driving control device assembly and a combination switch, which is implemented by a driving control device assembly and a combination switch intelligent linkage control system, including: obtaining associated functional requirements of a steering wheel assembly and a combination switch; performing linkage function splitting in combination with the associated functional requirements, and establishing a functional logic module, wherein the functional logic module includes an input module, a logic processing module, and an output module; performing linkage behavior relationship analysis according to the associated functional requirements, and establishing a logical relationship map; performing scene conflict identification according to the associated functional requirements, and configuring the functional requirement priority; and performing a linkage behavior relationship analysis according to the associated functional requirements, and configuring the functional requirement priority; and performing a linkage behavior relationship analysis according to the associated functional requirements, and configuring the functional requirement priority; and Calculate the priority and map it to the functional logic module for linkage control; wherein, establish a logical relationship map, including: based on the monitoring data, analyze the time relationship of the data parameters in the associated functional requirements and identify the causal chain; mine the association rules of the monitoring data, quantify the association rules through correlation calculation, and extract strongly associated parameter pairs; cluster different driving scenarios according to data characteristics based on the strongly associated parameter pairs, and establish linkage functional scenarios; use the input signal, logical processing conditions and output results as logical nodes, use the causal chain, association rules, strongly associated parameter pairs, and linkage functional scenarios for logical mapping, and obtain the logical relationship map.

[0007] Optionally, the method for intelligent linkage control of a driving control device assembly and a combination switch also includes: constructing a multi-source demand database, the multi-source demand database including driving behavior record data, user-related demand data, and risk test data; according to the multi-source demand database, parsing the linkage record relationship between the steering wheel assembly behavior and the combination switch behavior through the driving behavior record data, extracting user-related demand feedback through the user-related demand data, and identifying the risk combination of the steering wheel assembly and the combination switch control parameters through the risk test data; performing association demand analysis based on the linkage record relationship of driving behavior, user-related demand feedback and the risk combination of control parameters to obtain association parameter pairs; according to the association parameter pairs, establishing a compensation control relationship between the control parameters of the combination switch and the reference parameters with the steering wheel steering and the turning angle as reference parameters, and constructing an association function library, the association function library including association functions and corresponding control parameters; using the association function library, performing association function demand selection and setting to obtain the association function requirements of the steering wheel assembly and the combination switch.

[0008] Optionally, the method for intelligent linkage control of a driving control device assembly and a combination switch also includes: parsing the linkage relationship of the associated functional requirements and establishing a linkage signal drive chain; analyzing the linkage signal drive chain, identifying data receiving, data processing, and signal output nodes, establishing a data correspondence between each node, and obtaining linkage splitting parameters; using the linkage splitting parameters to perform functional splitting on the associated functional requirements to obtain the functional logic module, which includes the associated function name and module parameters of the input module, the logic processing module, and the output module.

[0009] Optionally, the method for intelligent linkage control of a driving control device assembly and a combination switch also includes: obtaining a signal data source for associated functional requirements, including steering wheel data, environmental sensor data, combination switch parameter status data, and user operation data; time aligning the monitoring data collected by the signal data source, and standardizing the steering wheel data, environmental sensor data, combination switch parameter status data, and user operation data in the monitoring data.

[0010] Optionally, the intelligent linkage control method of a driving control device assembly and a combination switch also includes: utilizing the linkage function scenario to identify abnormalities of strongly correlated parameter pairs and determine abnormal parameter thresholds; establishing abnormal compensation control relationships based on the abnormal parameter thresholds; and adding the abnormal parameter thresholds and abnormal compensation control relationships to the logic processing conditions and output results, respectively.

[0011] Optionally, the intelligent linkage control method of a driving control device assembly and a combination switch also includes: performing reverse causal analysis based on the causal chain to determine the reverse causal chain; based on the connection order of the logical nodes, performing reverse connection sequence verification on the reverse causal chain to obtain a reverse logical processing relationship; when the logical processing relationship between the reverse causal chain and the causal chain is overlapping and reversible, establishing a bidirectional relationship mapping and fitting it to the logical relationship map; when the logical processing relationship between the reverse causal chain and the causal chain is irreversible, establishing a reverse linkage function map relationship and adding it to the logical relationship map.

[0012] Optionally, the method for intelligent linkage control of a driving control device assembly and a combination switch also includes: determining the priority of a functional node according to the logical relationship graph and the functional requirement priority; marking a conflict edge set through simulation verification according to the priority of the functional node; adjusting the logical execution relationship of the conflicting edges in order of priority and allocating them to the functional logic module; and allocating non-conflicting logic to the functional logic module for non-conflicting edges.

[0013] In the second aspect, the present application also provides a driving control device assembly and a combination switch intelligent linkage control system, which is used to execute a driving control device assembly and a combination switch intelligent linkage control method as described in the first aspect, including: an associated function requirement acquisition unit, which is used to obtain the associated function requirements of the steering wheel assembly and the combination switch; a functional logic module establishment unit, which is used to perform linkage function splitting in combination with the associated function requirements and establish a functional logic module, wherein the functional logic module includes an input module, a logic processing module, and an output module; a linkage behavior relationship parsing unit, which is used to perform linkage behavior relationship parsing according to the associated function requirements and establish a logical relationship map; a demand priority configuration unit, which is used to perform scene conflict identification according to the associated function requirements and configure function Demand priority; a linkage control unit, used to integrate the logical relationship map and the functional requirement priority, and map them to the functional logic module for linkage control; wherein the linkage behavior relationship analysis unit is also used to analyze the time relationship of data parameters in the associated functional requirements based on monitoring data, and identify the causal chain; mine the association rules of the monitoring data, quantify the association rules through correlation calculation, and extract strongly associated parameter pairs; cluster different driving scenarios according to data characteristics based on the strongly associated parameter pairs, and establish linkage functional scenarios; use input signals, logical processing conditions and output results as logical nodes, and use the causal chain, association rules, strongly associated parameter pairs, and linkage functional scenarios for logical mapping to obtain the logical relationship map.

[0014] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0015] By obtaining the associated functional requirements of the steering wheel assembly and the combination switch; then combining the associated functional requirements to split the linkage functions and establish a functional logic module, the functional logic module includes an input module, a logic processing module, and an output module; further analyzing the linkage behavior relationship according to the associated functional requirements and establishing a logical relationship map; on the other hand, scene conflicts are identified according to the associated functional requirements and functional requirement priorities are configured; finally, by integrating the logical relationship map and the functional requirement priority, they are mapped to the functional logic module for linkage control. In other words, through the comprehensive use of technologies such as intelligent linkage control, data fusion and anomaly detection, and priority scheduling, it is possible to accurately adjust the functional linkage requirements under different driving scenarios, significantly improve the timeliness of system response and the smoothness of operation, and achieve more intelligent and safe linkage control, thereby greatly optimizing the driving experience and vehicle control reliability.

[0016] 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 according to the contents of the specification, and 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 specifically cited below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0018] Figure 1 A schematic flow chart of a driving control device assembly and a combination switch intelligent linkage control method for the present application;

[0019] Figure 2 This is a structural schematic diagram of a driving control device assembly and a combination switch intelligent linkage control system for the present application.

[0020] Description of reference numerals:

[0021] An associated functional requirement obtaining unit 11 , a functional logic module establishing unit 12 , a linkage behavior relationship parsing unit 13 , a requirement priority configuring unit 14 , and a linkage control unit 15 . DETAILED DESCRIPTION

[0022] This application provides a method and system for intelligent linkage control of a driving control device assembly and a combination switch, which solves the technical problems of lack of precise and intelligent coordinated control between the steering wheel assembly and the combination switch in traditional vehicle systems, resulting in untimely system response, unsmooth operation, and uncoordinated functional linkage. Through the comprehensive application of technologies such as intelligent linkage control, data fusion and anomaly detection, and priority scheduling, it is possible to accurately adjust the functional linkage requirements under different driving scenarios, significantly improve the timeliness of system response and the smoothness of operation, and achieve more intelligent and safe linkage control, thereby greatly optimizing the driving experience and vehicle control reliability.

[0023] Below, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should also be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them.

[0024] For example, please refer to the attached Figure 1 The present application provides a driving control device assembly and a combination switch intelligent linkage control method, which is applied to a driving control device assembly and a combination switch intelligent linkage control system, and specifically includes the following steps:

[0025] S100: Obtaining associated functional requirements of the steering wheel assembly and the combination switch.

[0026] Furthermore, step S100 of the present application also includes:

[0027] S110: Construct a multi-source demand database, which includes driving behavior record data, user-related demand data, and risk test data; S120: According to the multi-source demand database, analyze the linkage record relationship between the steering wheel assembly behavior and the combination switch behavior through the driving behavior record data, extract user-related demand feedback through the user-related demand data, and identify the risk combination of the steering wheel assembly and the combination switch control parameters through the risk test data; S130: According to the linkage record relationship of driving behavior, user-related demand feedback and the risk combination of control parameters, perform association demand analysis to obtain association parameter pairs; S140: According to the association parameter pairs, with the steering wheel steering and the turning angle as the reference parameters, establish the compensation control relationship between the control parameters of the combination switch and the reference parameters, and construct an association function library, which includes association functions and corresponding control parameters; S150: Use the association function library to select and set the association function requirements to obtain the association function requirements of the steering wheel assembly and the combination switch.

[0028] Specifically, in order to achieve precise intelligent linkage control, it is necessary to build a demand database containing multiple data sources, which can provide rich basic data for subsequent linkage control algorithms to ensure that the system can respond accurately according to various driving scenarios and user needs. First, a multi-source demand database is constructed, which includes driving behavior record data, user-related demand data, and risk test data. The driving behavior record data comes from the vehicle's driving behavior monitoring system, sensors, on-board recording equipment, etc., including steering angle (recording the driver's steering wheel rotation angle, which is convenient for linkage control with turn signals), vehicle speed (real-time vehicle speed data is used to determine whether it is necessary to adjust the high beam or other functions), acceleration and deceleration (when accelerating or braking, the automatic control system needs to adjust the corresponding functions according to these data, such as wipers, lights, etc.), lane keeping and steering behavior (monitoring whether the driver has lane change or turning operations, affecting the linkage of high beams, turn signals, etc.), etc. User-related demand data comes from personalized preferences set by users, driving habit analysis, vehicle configuration, etc., including user preference settings (such as delayed turn signal shutdown, automatic high beam activation time, etc.), user operation history (such as whether to often turn on the high beam, whether to turn off the turn signal when changing lanes frequently, etc.), driving habit mode (such as frequent use of high beam when driving at night), etc. Risk test data comes from verification data on safety, stability, reaction time, etc. conducted by the vehicle test system, including fault simulation data (such as the turn signal cannot be reset or the linkage between the high beam and the turn signal fails), environmental interference data (such as haze, heavy rain, etc.) on the control functions of turn signals, high beams, etc.), safety tests (system stability in cases of sudden braking, rapid turning, etc.), etc. By aggregating the above data into a multi-source demand database, a dynamic control strategy can be constructed based on multi-dimensional demand analysis, so as to meet user needs more intelligently and effectively respond to complex linkage control needs in different driving scenarios.

[0029] Next, according to the multi-source demand database, the linkage record relationship between the steering wheel assembly behavior and the combination switch behavior is analyzed through the driving behavior record data, that is, the linkage relationship between the operating behavior of the steering wheel assembly (such as steering wheel rotation angle, steering angle sensor data) and the combination switch (such as turn signal, high beam switch) is analyzed through the driving behavior record data, such as monitoring the relationship between the change in the steering wheel rotation angle and the turning on of the turn signal. For example, when the steering wheel is turned beyond a preset angle, the turn signal is automatically turned on; after the steering is completed, the turn signal is automatically turned off when the steering wheel returns to the center; when the steering wheel is turned and the turn signal is turned on, the system will analyze whether it is necessary to switch from high beam to low beam to prevent interference with other vehicles. Through user-related demand data, personalized driving needs and preferences are extracted, and system behavior is further adjusted to adapt to the user's driving habits. For example, users may prefer the automatic turn signal reset function, the automatic switching time of the high beam, etc. These needs need to be analyzed based on historical data (such as the user's operation mode in a specific scenario); according to the user's driving habits, the frequency of use of certain functions is judged. For example, if the user often drives at high speed for a long time, the system can be tuned to adapt to the need to use high beams more often; extract the user's expectations for each function under different driving conditions (such as daytime, nighttime, rainy days, etc.), and adjust the system response based on these feedbacks, such as delayed turn signal shutdown, automatic high beam adjustment, etc. Through risk test data, the possible risk combination between the steering wheel assembly and the combination switch control is identified, and adjustments are made to optimize system stability and safety. For example, through historical driving data and test data, possible abnormal operations are identified. For example, the driver may not turn off the turn signal in time when turning quickly, or fail to switch the high beam in time in an emergency. The system needs to identify these potential risk behaviors and make corrections; by conducting a combined analysis of the risks of multiple control modules (such as turn signals, high beams, etc.), identify which operations may lead to safety risks, such as delayed response caused by the control logic combination of turn signals and brake lights, cross-interference between high beams and turn signals, etc.; according to the results of the risk combination analysis, establish a corresponding compensation control mechanism. For example, when the timing problem of switching between turn signals and high beams is identified, the system can automatically adjust the switching timing of high beams to ensure that it will not interfere with other vehicles when turning.

[0030] Then, the correlation demand analysis is carried out according to the linkage record relationship of driving behavior, user correlation demand feedback and risk combination of control parameters, with the purpose of extracting key correlation parameter pairs to ensure that the system can accurately respond to the driver's needs and effectively manage potential risks. For example, the linkage relationship between driving behavior and combination switches (such as turn signals and high beams) is analyzed to extract the rules between driver operations and system responses. For example, when the steering wheel is turned to a certain angle (such as greater than 45 degrees), the turn signal is automatically turned on; when the steering wheel returns to the neutral position, the turn signal is automatically turned off; when the vehicle speed exceeds a preset threshold, the system automatically turns on the high beam; when the vehicle speed drops to a certain range, the high beam is automatically switched to the low beam; by analyzing the user's demand feedback, the functional requirements in specific situations are extracted, such as the user may set the activation and deactivation sensitivity of the high beam according to the driving habits, for example, when the vehicle is detected ahead, it automatically switches to the low beam; the risks that may be caused by the control parameter combination in the system are analyzed, such as in the scene where the high beam and low beam need to be switched quickly, the switching delay may cause interference to other road users. Based on the above analysis, key correlation parameter pairs are extracted, which will be used for the subsequent compensation control and intelligent linkage strategy construction. The main correlation parameter pairs include steering angle and turn signal status, vehicle speed and high beam status, turn signal status and high beam status, driver operation habits and function settings, etc.

[0031] Further, according to the associated parameter pairs (such as steering wheel steering angle, vehicle speed, turn signal state, high beam state, etc.), with the steering wheel steering and steering angle as reference parameters, a compensation control relationship between the control parameters of the combination switch and the reference parameters is established, such as the compensation control relationship between the turn signal and the steering wheel angle, and the switch state of the turn signal is directly related to the steering wheel steering angle. When the driver turns the steering wheel, the change in the steering wheel angle should directly trigger the turn signal to turn on. The system should adjust the turn signal on or off timing according to the change in the steering wheel angle to avoid inconvenience in manual operation; by setting a compensation function (such as the turn signal remains on within a certain steering angle range and automatically turns off after a certain period of time), it is ensured that the turn signal can accurately and promptly respond to the driver's needs. The compensation control relationship between the high beam and the vehicle speed and steering wheel angle, the control of the high beam is strongly related to the vehicle speed and the steering angle. When the vehicle speed exceeds a certain value, the high beam should be automatically turned on; at the same time, if the turn signal is activated (i.e. the driver is turning), the high beam should be automatically turned off to avoid interference with other vehicles; based on the changes in vehicle speed and steering wheel angle, the system should dynamically adjust the state of the high beam according to preset thresholds and rules. For example, when the vehicle speed reaches or exceeds a certain value, the high beam is automatically turned on; when the steering wheel angle is greater than a certain threshold and the turn signal is on, the system automatically turns off the high beam. Based on the above compensation control relationship, an associated function library is established so that the system can make decisions based on different driving scenarios, user needs and real-time data. The associated function library contains all possible associated functions and corresponding control parameters, which can provide reference and decision support for the system, such as turn signal control (including steering wheel angle, turn signal status, time delay, etc.), high beam control (including vehicle speed, steering wheel angle, high beam status, traffic conditions, etc.).

[0032] Finally, the associated function library is used to select and set the associated function requirements, that is, the system will provide a variety of linkage function options, and the user can select the functions to be enabled according to their driving habits or needs. For example, the user can choose whether to enable the automatic switch from high beam to low beam when the vehicle speed exceeds a certain threshold, and obtain the associated function requirements of the steering wheel assembly and the combination switch. By establishing a flexible associated control function database and a demand selection setting mechanism, the user can customize personalized function linkage requirements according to their own driving needs, accurately set the associated function requirements of the steering wheel assembly and the combination switch, optimize the intelligent control behavior of the vehicle, and improve driving safety and comfort.

[0033] S200: performing linkage function splitting in combination with the associated function requirements, and establishing a functional logic module, wherein the functional logic module includes an input module, a logic processing module, and an output module.

[0034] Furthermore, step S200 of the present application also includes:

[0035] S210: Analyze the linkage relationship of the associated functional requirements and establish a linkage signal drive chain; S220: Analyze the linkage signal drive chain, identify data receiving, data processing, and signal output nodes, establish the data correspondence between each node, and obtain linkage splitting parameters; S230: Use the linkage splitting parameters to perform functional splitting on the associated functional requirements to obtain the functional logic module, which includes the associated function name and module parameters of the input module, logic processing module, and output module.

[0036] Specifically, first, the linkage relationship analysis of the associated functional requirements is carried out. The core of the linkage relationship analysis is to understand the input and output of each functional module and how they affect each other, such as the turn signal and the steering angle, the input signal (steering wheel steering angle), the processing logic (when the steering wheel rotation angle is greater than 30 degrees, the turn signal is automatically turned on; when the steering wheel is turned back to the positive angle and less than 5 degrees, the turn signal is automatically turned off), and the output signal (the switch state of the turn signal); establish a linkage signal drive chain. The linkage signal drive chain refers to the control chain formed by the flow of signals between multiple functional modules, as shown in Table 1. The sections define how each functional module is driven by the input signals of other modules and further affect the outputs of other modules, including signal input nodes (each has its own input signal nodes, such as steering wheel angle, vehicle speed, turn signal status, etc.), signal processing nodes (after these input signals are processed, it is determined whether specific conditions are met to trigger associated functions, such as the turning on of the turn signal depends on the change of the steering wheel angle, and the switching on and off of the high beam depends on the vehicle speed and the turn signal status) and signal output nodes (when the input conditions are met, the corresponding control signal is output. For example, the on / off signal of the turn signal or the on / off signal of the high beam).

[0037]

[0038] Table 1

[0039] Next, analyze the linkage signal drive chain and identify the data receiving, data processing, and signal output nodes. In the linkage signal drive chain, the realization of each function depends on the collaborative work of multiple nodes. The role of each node can be divided into three main parts, such as the data receiving node is responsible for receiving input signals, such as sensor data or driver operation instructions; the data processing node is used to analyze, calculate, and make decisions on the received input signals to determine whether the conditions for executing a certain function are met; the signal output node is used to output control signals and execute specific functions (such as turning on the turn signal, switching the high beam, etc.) according to the results of data processing. Further establish the data correspondence between each node, and obtain the linkage splitting parameters by identifying and splitting each node of the linkage signal drive chain. These splitting parameters are the basis for the independent operation of each functional module, which helps to clearly define the input, processing, and output of each module.

[0040] Then, the linkage splitting parameters are used to perform functional splitting on the associated functional requirements, and then the corresponding functional logic modules are obtained. Each functional logic module will be composed of an input module, a logic processing module and an output module. For example, the input module is responsible for receiving data from the outside, such as the steering wheel rotation angle, vehicle speed information, rain sensor data, etc.; the logic processing module is used to process the input data to determine whether the execution conditions are met, and if the conditions are met, the corresponding control instructions are output; this module contains algorithm logic to determine when to trigger a specific function. The output module controls the specific execution equipment of the vehicle (such as turn signals, high beams, wipers, etc.) based on the output results of the processing module, wherein the functional logic module includes the associated function name (such as wiper control, high beam control, etc.) and the module parameters of the input module, logic processing module, and output module (such as steering wheel rotation angle, vehicle speed threshold, etc.). Through linkage splitting parameters and functional splitting, based on the design of input modules, logic processing modules and output modules, the complex control requirements in the vehicle system can be accurately disassembled and various functional modules can be constructed. The independence and accuracy of each functional module enable the system to respond to the driver's needs in real time and intelligently, and achieve better driving experience and safety.

[0041] S300: Analyze the linkage behavior relationship according to the associated functional requirements and establish a logical relationship map.

[0042] Furthermore, step S300 of the present application also includes:

[0043] S310: Obtain a signal data source for associated functional requirements, including steering wheel data, environmental sensor data, combination switch parameter status data, and user operation data; S320: Time-align the monitoring data collected by the signal data source, and standardize the steering wheel data, environmental sensor data, combination switch parameter status data, and user operation data in the monitoring data.

[0044] Specifically, first, the signal data source of the associated functional requirements is obtained, including steering wheel data, environmental sensor data, combination switch parameter status data, and user operation data. The steering wheel data includes steering wheel angle, rotation rate, etc. These data reflect the driver's steering intention and are used to control functions related to the steering wheel, such as turn signals and high beams; environmental sensor data include humidity, light, temperature, etc. These data help determine external environmental conditions, such as rainy days and strong light, to adjust functions such as wipers and lighting control. The combination switch parameter status data includes the status data of the turn signal, high beam, and wiper switches, which reflect the driver's manual operation of the vehicle functions, and the system needs to perform linkage control based on these signals; user operation data includes the driver's manual control signals, such as switch operation, braking, acceleration, etc. These operation signals directly affect the behavior of the vehicle and are linked with the feedback of the vehicle automatic control system.

[0045] Since different data sources (such as steering wheel data, environmental sensor data, user operation data, etc.) are collected by different sensors or modules, and the sampling frequency and timestamp of each module may be different, it is necessary to time-align these data to ensure that the data used at the same time is consistent. Next, the monitoring data collected by the signal data source is time-aligned, such as converting all data into a unified time format, for example, using a timestamp of seconds, or converting the timestamps of different data sources into the same standard (such as unified to seconds or milliseconds) as needed; and the steering wheel data, environmental sensor data, combination switch parameter state data, and user operation data in the monitoring data are standardized. Standardization is to unify the numerical units and ranges of different data sources to ensure that the data is processed at the same scale. This helps to eliminate the influence of different signal units and magnitudes, and ensure that the system can analyze and make decisions consistently for all input data. By time-aligning and standardizing multiple signal data sources (such as steering wheel data, environmental sensor data, combination switch parameter state data, and user operation data), the consistency of each data source can be ensured, so that the vehicle control system can perform efficient processing and decision-making based on a unified data format. This is the basis for achieving precise linkage control and provides reliable input for subsequent intelligent decision-making and dynamic control.

[0046] Furthermore, step S300 of the present application also includes:

[0047] S330: Based on the monitoring data, analyze the time relationship of the data parameters in the associated functional requirements and identify the causal chain; S340: Mine the association rules of the monitoring data, quantify the association rules through correlation calculation, and extract strongly associated parameter pairs; S350: Cluster different driving scenarios according to data features based on the strongly associated parameter pairs, and establish linkage functional scenarios; S360: Use the input signal, logical processing conditions and output results as logical nodes, and use the causal chain, association rules, strongly associated parameter pairs, and linkage functional scenarios for logical mapping to obtain the logical relationship map.

[0048] Specifically, based on the monitoring data, the time relationship of the data parameters in the associated functional requirements is analyzed. The goal of the time relationship analysis is to find the causal order and time dependency between different signal data. There may be a specific time dependency relationship between each signal (such as steering wheel angle, vehicle speed, etc.) and other signals. These relationships are very important for linkage control decisions. For example, the rotation of the steering wheel is a condition for triggering the turn signal to turn on. In the time relationship, the turn signal is usually delayed from the change in the steering wheel angle. When the steering wheel angle exceeds a specific threshold, the turn signal should be turned on immediately, and the turn signal should be turned off closely related to the steering wheel return action. Identify the causal chain. The causal chain refers to the influence relationship between data. Analyzing these relationships helps to build more accurate control logic, such as vehicle speed-high beam control. Mining the association rules of the monitoring data. Association rule mining is to find the strongest association rules by analyzing the association relationship between different data sources. These rules help to reveal the interdependence between different parameters; and quantify the association rules through correlation calculation, such as using statistical methods (such as Pearson correlation coefficient, etc.) to calculate the correlation between various data parameters, for example, calculating the correlation between the steering wheel angle and the turn signal on, the correlation between the vehicle speed and the high beam on, etc.; in the association rule mining process, extract the strongest association parameter pairs, such as the turn signal switch and the steering angle, the steering angle and the turn signal on have a significant positive correlation; the vehicle speed and the high beam, the vehicle speed and the high beam switch have a strong correlation, the higher the vehicle speed, the greater the possibility of the high beam on. Further, different driving scenarios are clustered according to the data features based on the strong correlation parameters, providing the system with multiple possible driving scenarios, and dynamically adjusting the functional linkage according to the scenario changes, such as using unsupervised learning algorithms (such as K-means, DBSCAN, etc.) to cluster the data, and form different driving scenarios according to different driving behaviors, environmental conditions and control requirements, such as urban driving (low speed, frequent turns, frequent turn signals), high-speed driving (speed greater than 80km / h, high beam on, turn signals are relatively rarely used). As shown in Table 2, according to the characteristics of each driving scenario, the corresponding linkage functional scenario is established.

[0049]

[0050] Table 2

[0051] Finally, the input signal, logical processing conditions and output results are used as logical nodes, and the causal chain, association rules, strong correlation parameter pairs and linkage function scenarios are used for logical mapping to draw a logical relationship map, as shown in Table 3. The logical relationship map is used to display the causal chain and relationship between the input signal, processing conditions and output results.

[0052]

[0053] Table 3

[0054] By analyzing the temporal relationship of monitoring data, mining association rules, and extracting strongly correlated parameter pairs, we can identify functional requirements in different driving scenarios. Based on these requirements, we can classify driving scenarios through clustering algorithms and establish appropriate linkage functions for each scenario. This approach ensures that the vehicle control system can accurately and intelligently adjust various functional modules in different driving situations, improving driving safety and experience.

[0055] Furthermore, step S360 of the present application also includes:

[0056] S361: Utilize the linkage function scenario to identify abnormalities of strongly correlated parameter pairs and determine abnormal parameter thresholds; S362: Establish an abnormal compensation control relationship based on the abnormal parameter thresholds; S363: Add the abnormal parameter thresholds and abnormal compensation control relationship to the logical processing conditions and output results respectively.

[0057] Specifically, first, according to the linkage function scenario, the strongly associated parameter pairs are identified for abnormalities, with the goal of discovering driving behavior patterns that may lead to unsafe or uncomfortable driving, thereby improving the reliability and safety of the system by optimizing the control strategy. For example, the turn signal is not turned off, which may distract the driver, or the high beam is still on when driving at close range, causing interference to other road users. The isolation forest algorithm can be used to automatically identify outliers based on the characteristics of the data. The isolation forest is an unsupervised learning method suitable for high-dimensional anomaly detection. The method gradually divides the data through a tree structure. The data points that are more likely to be "isolated" are usually outliers. For example, if the relationship between the vehicle speed and the steering wheel angle does not meet expectations, the isolation forest can identify this abnormal behavior. Through the above-mentioned anomaly detection method, the abnormal parameter threshold is obtained. The determination of the parameter threshold depends on the output of the anomaly detection algorithm, including the turn signal opening time threshold, the high beam control threshold, the wiper working frequency threshold, etc.

[0058] Then, according to the abnormal parameter threshold, an abnormal compensation control relationship is established, that is, based on the abnormal parameter threshold, when the system detects that a parameter exceeds the normal range, appropriate operations need to be taken to avoid potential safety problems or inappropriate driving behaviors. The abnormal compensation control relationship refers to the specific operations that the system should perform when an abnormality is detected. For example, when the turn signal is on for more than 10 seconds, the system should automatically turn off the turn signal to avoid the driver being distracted by the turn signal being on for a long time; when the vehicle speed is lower than 80km / h, if the high beam is still on, the system will automatically turn off the high beam.

[0059] Finally, the abnormal parameter threshold and abnormal compensation control relationship are added to the logical processing conditions and output results respectively to ensure that when abnormal behavior is detected, compensation measures can be taken in time and corresponding operations can be performed. By integrating the abnormal parameter threshold and compensation control relationship into the logical processing conditions and output results, the system can monitor and handle abnormal situations in real time during driving. When the behavior of a functional module exceeds the normal threshold, the system will automatically take compensation control measures (such as turning off the turn signal, high beam, etc.) to ensure driving safety and optimize the driving experience.

[0060] Furthermore, step S360 of the present application also includes:

[0061] S364: Perform reverse causal analysis based on the causal chain to determine the reverse causal chain; S365: Based on the connection order of the logical nodes, perform reverse connection sequence verification on the reverse causal chain to obtain a reverse logical processing relationship; S366: When the logical processing relationship between the reverse causal chain and the causal chain is overlapping and reversible, establish a bidirectional relationship mapping and fit it to the logical relationship map; S367: When the logical processing relationship between the reverse causal chain and the causal chain is irreversible, establish a reverse linkage function map relationship and add it to the logical relationship map.

[0062] Specifically, reverse causal analysis is performed based on the causal chain, that is, to ensure the clarity of the bidirectional control logic, we need to add bidirectional nodes and arrows in the logic diagram to indicate the relationship between the forward and reverse control. Through this bidirectional control, the interaction between the on and off of the turn signal and the control of the high beam can be ensured. For example, in the case of turning at night, the forward and reverse causal relationships are as follows: forward causal chain (turn signal on → high beam off, that is, in order to avoid the high beam interfering with other vehicles, the high beam is turned off when the turn signal is on), reverse causal chain (turn signal off → high beam recovery, that is, after the turn is completed, the steering wheel returns to the center, the turn signal is turned off, and the high beam is restored). The steering wheel and turn signal are controlled in conjunction, such as forward control (when the driver turns the turn signal, the steering wheel angle increases, and when the steering wheel returns to the center, the turn signal is automatically turned off), reverse control (when the driver turns the steering wheel to a certain angle and for a certain period of time, the turn signal is automatically turned on). Here, the turn signal on function is not completely consistent, for example, the angle return and the steering wheel operation speed may not be completely reversible, so a reverse function is needed to solve the irreversible control scenario.

[0063] In order to further optimize the linkage control in the vehicle system, especially when dealing with the reverse causal chain, we need to verify the connection order of the reverse causal chain and decide how to express this relationship in the logical relationship map according to its reversibility or irreversibility. In this way, we can ensure that the logical relationship between the reverse causal chain and the causal chain is correctly modeled and expressed. Then, based on the connection order of the logical nodes, the reverse connection sequence of the reverse causal chain is verified to obtain the reverse logical processing relationship; when the logical processing relationship between the reverse causal chain and the causal chain overlaps and is reversible, that is, the forward chain and the reverse chain can trigger each other and control the same output, such as the forward causal chain (when the steering wheel turns and reaches a certain angle, the turn signal turns on), the reverse causal chain (when the steering wheel returns to the positive position and exceeds a certain angle, the turn signal turns off), a bidirectional relationship mapping is established and fitted into the logical relationship map. When the logical processing relationship between the reverse causal chain and the causal chain is irreversible, such as when the steering wheel returns to the center, the turn signal automatically turns off, but in some cases (such as the turn signal is turned on for a long time or the angle is not completely returned to the center), it is necessary to re-judge the conditions for turning on the turn signal and force the turn signal to turn on. In this case, a reverse linkage function map relationship is established and added to the logical relationship map. Through the implementation of reverse causal chain analysis and two-way relationship mapping, the vehicle control system can dynamically adapt to various driving scenarios. For reversible causal chain relationships, the system ensures that the turn signal can be turned on and off correctly in different scenarios through the connection of two-way arrows and nodes; for irreversible causal chains, the system will add additional reverse linkage control logic to ensure the accuracy of functional linkage; through this method, we can not only ensure the stability of the system under normal operation, but also handle abnormal situations to improve driving safety and operating experience.

[0064] S400: Identify scene conflicts according to the associated functional requirements and configure functional requirement priorities.

[0065] Specifically, in the vehicle control system, multiple functional requirements may be triggered and interact with each other at the same time, resulting in potential scenario conflicts. These conflicts may trigger inconsistent control signals, thereby affecting the response and stability of the system. In order to avoid this situation, it is necessary to prioritize the functional requirements and ensure that the conflicting scenarios are effectively identified and processed. First, the scenario conflict is identified according to the associated functional requirements. For example, the turn signal conflicts with the high beam. When the turn signal is turned on, the high beam should be turned off to avoid interference with other vehicles. However, in some driving scenarios, the control of the high beam and the turn signal may conflict, especially on highways, where the turn signal and the vehicle speed control may produce inconsistent signals; the vehicle speed conflicts with the wiper operating frequency. When driving at high speed, the wiper operating frequency needs to be adjusted to a higher level, but if the vehicle speed is very low, the wiper frequency may not need to be so high. At this time, the wiper frequency setting may be inappropriate. Next, for the functional requirements that may conflict, their priorities need to be reasonably configured. The priority configuration should be judged based on the importance and safety of each function. When the system detects a conflict, it will decide how to respond based on the priority of the functional requirements. For example, the control priority of the high beam is higher. When the system detects that the turn signal is on, it should immediately turn off the high beam and ensure that the turn signal works normally.

[0066] By identifying potential scenario conflicts and configuring reasonable processing logic based on the priority of functional requirements, the vehicle system can ensure that when multiple functional requirements occur concurrently, conflicts are handled according to priority rules to ensure driving safety and comfort. Functions with higher priority (such as high beam control) will be executed first and their operations will not be interfered with by other functions, ensuring that the system can resolve conflicts according to priority order and resume normal operation.

[0067] S500: Integrate the logic relationship graph and the functional requirement priority and map them to the functional logic module for linkage control.

[0068] Furthermore, step S500 of the present application also includes:

[0069] S510: Determine the priority of the functional node according to the logic relationship graph and the functional requirement priority; S520: Mark the conflict edge set through simulation verification according to the priority of the functional node; S530: For the conflicting edges, adjust the logical execution relationship according to the order of priority and allocate them to the functional logic module; S540: For the non-conflicting edges, allocate the non-conflicting logic to the functional logic module.

[0070] Specifically, first, the priority of the function node is determined according to the logical relationship graph and the function requirement priority, as shown in Table 4, that is, a priority is assigned to each function node according to the function requirement priority.

[0071]

[0072] Table 4

[0073] Then, according to the priority of the functional node, the conflict edge set is marked by simulation verification, that is, the nodes in the logic relationship graph are simulated and verified to check whether there is a conflict edge set. The conflict edge set refers to the situation where two or more functional nodes will conflict with each other under certain input signals. The conflict may be due to the need for multiple functions to control the same output signal, or the execution order problem caused by inconsistent priorities. Then, for the conflict edge set, we will adjust their execution order according to the function priority. The function with higher priority should be executed first to ensure that its output signal will not be interfered by the low-priority function. For example, for the conflict between the turn signal and the high beam, we will ensure that the control relationship between the turn signal and the high beam is sorted according to their priority. If the high beam has a higher priority, the high beam should be forced to turn off when the turn signal is turned on. For non-conflicting edges, we can directly assign the logic to the functional logic module without additional priority adjustment. For example, the control signal of the wiper will not conflict with the control signal of the high beam or the turn signal, so they can be executed in parallel.

[0074] Through simulation verification, conflicting edge set marking and priority adjustment, the system is ensured to operate efficiently and stably when processing multiple functional requirements. Functions with higher priorities will be processed first to avoid functional conflicts; non-conflicting functions will be executed in parallel, thereby improving the response speed and overall efficiency of the vehicle system.

[0075] In summary, the driving control device assembly and the combination switch intelligent linkage control method provided by the present application have the following technical effects:

[0076] By obtaining the associated functional requirements of the steering wheel assembly and the combination switch; then combining the associated functional requirements to split the linkage functions and establish a functional logic module, the functional logic module includes an input module, a logic processing module, and an output module; further analyzing the linkage behavior relationship according to the associated functional requirements and establishing a logical relationship map; on the other hand, scene conflicts are identified according to the associated functional requirements and functional requirement priorities are configured; finally, by integrating the logical relationship map and the functional requirement priority, they are mapped to the functional logic module for linkage control. In other words, through the comprehensive use of technologies such as intelligent linkage control, data fusion and anomaly detection, and priority scheduling, it is possible to accurately adjust the functional linkage requirements under different driving scenarios, significantly improve the timeliness of system response and the smoothness of operation, and achieve more intelligent and safe linkage control, thereby greatly optimizing the driving experience and vehicle control reliability.

[0077] Embodiment 2: Based on the intelligent linkage control method of a driving control device assembly and a combination switch in the above embodiment, the present application also provides an intelligent linkage control system of a driving control device assembly and a combination switch, as shown in the attached Figure 2 ,include:

[0078] The associated functional requirement obtaining unit 11 is used to obtain the associated functional requirements of the steering wheel assembly and the combination switch; the functional logic module establishing unit 12 is used to perform linkage function decomposition in combination with the associated functional requirements and establish a functional logic module, wherein the functional logic module includes an input module, a logic processing module, and an output module; the linkage behavior relationship parsing unit 13 is used to perform linkage behavior relationship parsing according to the associated functional requirements and establish a logical relationship map; the requirement priority configuration unit 14 is used to perform scene conflict identification according to the associated functional requirements and configure the functional requirement priority; the linkage control unit 15 is used to integrate the logical relationship map with the functional requirements Priority is mapped to the functional logic module for linkage control; wherein the linkage behavior relationship analysis unit 13 is also used to analyze the time relationship of data parameters in the associated functional requirements based on monitoring data and identify the causal chain; to mine the association rules of the monitoring data, quantify the association rules through correlation calculation, and extract strongly associated parameter pairs; to cluster different driving scenarios according to data characteristics based on the strongly associated parameter pairs, and to establish linkage functional scenarios; to use input signals, logical processing conditions and output results as logical nodes, and to use the causal chain, association rules, strongly associated parameter pairs and linkage functional scenarios for logical mapping to obtain the logical relationship graph.

[0079] Furthermore, the driving control device assembly and combination switch intelligent linkage control system is also used to: construct a multi-source demand database, the multi-source demand database includes driving behavior record data, user-related demand data, and risk test data; according to the multi-source demand database, the linkage record relationship between the steering wheel assembly behavior and the combination switch behavior is analyzed through the driving behavior record data, the user-related demand feedback is extracted through the user-related demand data, and the risk combination of the steering wheel assembly and the combination switch control parameters is identified through the risk test data; according to the linkage record relationship of the driving behavior, the user-related demand feedback and the risk combination of the control parameters, the associated demand analysis is performed to obtain the associated parameter pair; according to the associated parameter pair, with the steering wheel steering and the turning angle as the reference parameters, the compensation control relationship between the control parameters of the combination switch and the reference parameters is established, and an associated function library is constructed, the associated function library includes associated functions and corresponding control parameters; using the associated function library, the associated function demand selection and setting is performed to obtain the associated function demand of the steering wheel assembly and the combination switch.

[0080] Furthermore, the driving control device assembly and the combination switch intelligent linkage control system are also used to: perform linkage relationship analysis on the associated functional requirements and establish a linkage signal drive chain; analyze the linkage signal drive chain, identify data reception, data processing, and signal output nodes, establish data correspondence between each node, and obtain linkage splitting parameters; use the linkage splitting parameters to perform functional splitting on the associated functional requirements and obtain the functional logic module, which includes the associated function name and module parameters of the input module, the logic processing module, and the output module.

[0081] Furthermore, the driving control device assembly and the combination switch intelligent linkage control system are also used to: obtain a signal data source for associated functional requirements, including steering wheel data, environmental sensor data, combination switch parameter status data, and user operation data; time-align the monitoring data collected by the signal data source, and standardize the steering wheel data, environmental sensor data, combination switch parameter status data, and user operation data in the monitoring data.

[0082] Furthermore, the driving control device assembly and the combination switch intelligent linkage control system are also used to: utilize the linkage function scenario to identify abnormalities of strongly correlated parameter pairs and determine abnormal parameter thresholds; establish abnormal compensation control relationships based on the abnormal parameter thresholds; and add the abnormal parameter thresholds and abnormal compensation control relationships to the logic processing conditions and output results, respectively.

[0083] Furthermore, the driving control device assembly and the combination switch intelligent linkage control system are also used to: perform reverse causal analysis based on the causal chain to determine the reverse causal chain; perform reverse connection sequence verification on the reverse causal chain based on the connection order of the logical nodes to obtain a reverse logical processing relationship; when the reverse causal chain and the logical processing relationship of the causal chain overlap and are reversible, establish a bidirectional relationship mapping and fit it to the logical relationship map; when the logical processing relationship between the reverse causal chain and the causal chain is irreversible, establish a reverse linkage function map relationship and add it to the logical relationship map.

[0084] Furthermore, the driving control device assembly and the combination switch intelligent linkage control system are also used to: determine the priority of the functional node according to the logical relationship map and the functional requirement priority; mark the conflict edge set through simulation verification according to the priority of the functional node; adjust the logical execution relationship of the conflicting edge in the order of priority and allocate it to the functional logic module; and allocate the non-conflicting logic to the functional logic module for the non-conflicting edge.

[0085] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The intelligent linkage control method and specific examples of a driving control device assembly and a combination switch in the aforementioned embodiment 1 are also applicable to a driving control device assembly and a combination switch intelligent linkage control system in this embodiment. Through the aforementioned detailed description of the intelligent linkage control method of a driving control device assembly and a combination switch, those skilled in the art can clearly understand the driving control device assembly and the combination switch intelligent linkage control system in this embodiment, so for the sake of brevity of the specification, it will not be described in detail here. For the system disclosed in the 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.

[0086] 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.

[0087] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application belong to the scope of the present application and its equivalent technology, the present application is also intended to include these modifications and variations.

Claims

1. A driving control device assembly and a combination switch intelligent linkage control method, characterized in that: include: Obtain the associated functional requirements of the steering wheel assembly and the combination switch; Combine the related functional requirements to split the linkage functions and establish a functional logic module, which includes an input module, a logic processing module, and an output module; Analyze the linkage behavior relationship according to the associated functional requirements and establish a logical relationship map; Identify scene conflicts based on the associated functional requirements and configure functional requirement priorities; By integrating the logic relationship map and the functional requirement priority, mapping them to the functional logic module for linkage control; Among them, establishing a logical relationship map includes: Based on the monitoring data, analyze the time relationship of the data parameters in the associated functional requirements and identify the cause-effect chain; Mining association rules of the monitoring data, quantifying the association rules through correlation calculation, and extracting strongly associated parameter pairs; Based on the strong correlation parameters, different driving scenarios are clustered according to data features to establish linkage function scenarios; The input signal, logical processing conditions and output results are used as logical nodes, and the causal chain, association rules, strong correlation parameter pairs and linkage function scenarios are used to perform logical mapping to obtain the logical relationship graph.

2. The driving control device assembly and combination switch intelligent linkage control method according to claim 1, characterized in that: The obtaining of the associated functional requirements of the steering wheel assembly and the combination switch includes: Building a multi-source demand database, the multi-source demand database includes driving behavior record data, user-related demand data, and risk test data; According to the multi-source demand database, the linkage record relationship between the steering wheel assembly behavior and the combination switch behavior is analyzed through the driving behavior record data, the user-related demand feedback is extracted through the user-related demand data, and the risk combination of the steering wheel assembly and the combination switch control parameters is identified through the risk test data; According to the linkage record relationship of driving behavior, user association demand feedback and risk combination of control parameters, association demand analysis is performed to obtain association parameter pairs; According to the associated parameter pair, taking the steering wheel direction and the turning angle as reference parameters, establishing a compensation control relationship between the control parameters of the combination switch and the reference parameters, and constructing an associated function library, wherein the associated function library includes associated functions and corresponding control parameters; The associated function library is used to select and set associated function requirements to obtain associated function requirements of the steering wheel assembly and the combination switch.

3. The driving control device assembly and combination switch intelligent linkage control method according to claim 1, characterized in that: Combine the related functional requirements to split the linkage functions and establish a functional logic module, which includes an input module, a logic processing module, and an output module, including: Analyze the linkage relationship of the related functional requirements and establish a linkage signal drive chain; Analyze the linkage signal drive chain, identify data receiving, data processing, and signal output nodes, establish data correspondence between each node, and obtain linkage splitting parameters; The associated functional requirements are functionally split using the linkage splitting parameters to obtain the functional logic module, which includes the associated function name and module parameters of an input module, a logic processing module, and an output module.

4. The driving control device assembly and combination switch intelligent linkage control method according to claim 3, characterized in that: Based on the monitoring data, analyze the time relationship of the data parameters in the associated functional requirements and identify the causal chain, which previously included: Obtain signal data sources required by related functions, including steering wheel data, environmental sensor data, combination switch parameter status data, and user operation data; The monitoring data collected by the signal data source are time-aligned, and the steering wheel data, environmental sensor data, combination switch parameter status data, and user operation data in the monitoring data are standardized.

5. The driving control device assembly and combination switch intelligent linkage control method according to claim 4, characterized in that: Obtaining the logical relationship graph also includes: Using the linkage function scenario, anomaly identification is performed on strongly correlated parameter pairs to determine anomaly parameter thresholds; Establishing an abnormal compensation control relationship according to the abnormal parameter threshold; The abnormal parameter threshold and the abnormal compensation control relationship are added to the logical processing conditions and the output results respectively.

6. The driving control device assembly and combination switch intelligent linkage control method according to claim 4, characterized in that: Obtaining the logical relationship graph also includes: Perform reverse causal analysis based on the causal chain to determine the reverse causal chain; Based on the connection sequence of the logic nodes, the reverse connection sequence of the reverse causal chain is verified to obtain a reverse logic processing relationship; When the logical processing relationship between the reverse causal chain and the causal chain overlaps and is reversible, a bidirectional relationship mapping is established and fitted into the logical relationship map; When the logical processing relationship between the reverse causal chain and the causal chain is irreversible, a reverse linkage function graph relationship is established and added to the logical relationship graph.

7. The driving control device assembly and combination switch intelligent linkage control method according to claim 1, characterized in that: By integrating the logic relationship map and the functional requirement priority, mapping them to the functional logic module for linkage control, including: Determine the priority of the function node according to the logical relationship graph and the function requirement priority; According to the priority of the functional node, marking the conflicting edge set through simulation verification; For the conflicting edges, adjusting the logic execution relationship according to the order of priority, and allocating them to the functional logic modules; For non-conflicting edges, non-conflicting logic is distributed to the functional logic modules.

8. The driving control device assembly and the combination switch intelligent linkage control system is characterized in that: The steps for implementing the intelligent linkage control method of the driving control device assembly and the combination switch according to any one of claims 1 to 7 include: A correlation function requirement obtaining unit, used for obtaining correlation function requirements of the steering wheel assembly and the combination switch; A functional logic module establishment unit, used to perform linkage function splitting in combination with the associated functional requirements and establish a functional logic module, wherein the functional logic module includes an input module, a logic processing module, and an output module; A linkage behavior relationship analysis unit, used to analyze linkage behavior relationships according to the associated function requirements and establish a logical relationship map; A requirement priority configuration unit, used to identify scene conflicts according to the associated functional requirements and configure the functional requirement priorities; A linkage control unit, used to integrate the logic relationship map and the functional requirement priority and map them to the functional logic module for linkage control; The linkage behavior relationship analysis unit is further used to analyze the time relationship of the data parameters in the associated function requirements based on the monitoring data and identify the cause-effect chain; Mining association rules of the monitoring data, quantifying the association rules through correlation calculation, and extracting strongly associated parameter pairs; Based on the strong correlation parameters, different driving scenarios are clustered according to data features to establish linkage function scenarios; The input signal, logical processing conditions and output results are used as logical nodes, and the causal chain, association rules, strong correlation parameter pairs and linkage function scenarios are used to perform logical mapping to obtain the logical relationship graph.

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