Control sharing method, system and equipment of automobile central control panel and storage medium
By using high-speed wireless LAN and permission analysis model in the automotive central control tablet system, combining passenger portraits and safety monitoring, dynamically adjusting the permissions of the central control tablet, the problem of insufficient operation flexibility in existing systems in different driving environments is solved, and the problem of improvement of the existing system has been improved. Driving safety and user experience.
Patent Information
- Application Number
- CN202411184486.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-27
- Publication Date
- 2024-12-24
AI Technical Summary
The existing automotive central control flat panel control system is not flexible enough in different driving environments, making it difficult to dynamically adjust permissions, which may lead to driver distraction and safety hazards.
Connect multiple central control tablet devices through the high-speed wireless LAN in the car to obtain the driving environment and vehicle status, use the permission analysis model to dynamically adjust permissions, and evaluate security risks through passenger portraits and real-time security monitoring to trigger risk warnings and permission adjustments.
It improves driving safety and user experience, ensures the safety of children and elderly passengers, promptly prevents potential safety threats, and improves the intelligence and reliability of the system.
Smart Images

Figure CN119182812A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of automobile function control, and in particular to a control sharing method, system, device and storage medium of an automobile central control tablet. Background Art
[0002] At present, with the development of automobile intelligence and networking technology, central control tablet devices have been widely used in new energy vehicles. Through these devices, passengers can operate and control various functions in the car. However, the existing central control tablet control system usually relies on fixed permission settings and limited shared control functions, which makes passengers lack operational flexibility in different driving environments. Especially under high-speed driving or complex road conditions, the existing system is difficult to dynamically adjust sharing permissions according to actual conditions, which may cause driver distraction or safety hazards.
[0003] The above-mentioned existing technical solutions have the following defects: the existing central control tablet control system mode is relatively fixed and difficult to adjust accordingly according to the actual driving needs, so there is room for improvement. Summary of the invention
[0004] In order to improve the intelligence of a car central control tablet, the present application provides a control sharing method, system, device and storage medium for a car central control tablet.
[0005] The above-mentioned invention objective of the present application is achieved through the following technical solutions: A control sharing method for a car central control tablet, the control sharing method for the car central control tablet comprising: Acquire and connect multiple central control tablet devices through the in-vehicle high-speed wireless local area network, so that the multiple central control tablet devices form an Internet network; Acquire the current driving environment and the vehicle driving status, analyze the current driving environment and the vehicle driving status according to the permission analysis model, and dynamically adjust the sharing permissions of the plurality of central control tablet devices according to the analysis results; Obtaining a portrait of a passenger in the vehicle, performing an age analysis based on the portrait of the passenger in the vehicle, and adjusting the sharing permissions of the plurality of central control tablets based on the age analysis result; The security risks of the sharing process are evaluated through the real-time security monitoring function, and risk warnings are triggered when there are security risks, and permissions of multiple central control tablet devices are adjusted.
[0006] By adopting the above technical solution, multiple central control tablet devices are obtained and connected through the high-speed wireless local area network in the vehicle, so that the multiple central control tablet devices form an Internet network, which can realize data intercommunication and operation synchronization between the multiple central control tablet devices, thereby improving the efficiency of information sharing within the vehicle and the convenience of central control operation; by obtaining the current driving environment and vehicle driving status, and analyzing the current driving environment and vehicle driving status according to the authority analysis model, the sharing authority of the central control tablet device can be dynamically adjusted to make the authority management more flexible and intelligent, thereby improving driving safety and user experience; by obtaining the portrait of the passengers in the car and analyzing them according to the age of the passengers, the sharing authority of the central control tablet can be adjusted for passengers of different age groups to ensure the safety of children and elderly passengers, thereby improving the intelligence and humanization of the system; the security risks of the sharing process are evaluated through the real-time security monitoring function, and risk prompts are triggered when there are security risks and the authority of the central control tablet device is adjusted, which can timely prevent potential security threats, thereby improving the security and reliability of the entire system.
[0007] In one example, the present application may be further configured as follows: the current driving environment and vehicle driving status are obtained, and the current driving environment and vehicle driving status are analyzed according to a permission analysis model, and the sharing permissions of the plurality of central control tablet devices are dynamically adjusted according to the analysis results, specifically including: Acquiring speed data and road type information of the vehicle, performing environment analysis and state analysis based on the speed data and the road type information, and obtaining the current driving environment and the driving state of the vehicle; The current driving environment and the vehicle driving state are input into the preset authority analysis model to obtain an authority allocation scheme, and the shared authority is adjusted according to the authority allocation scheme.
[0008] By adopting the above technical solution, by obtaining the vehicle's speed data and road type information, and performing environmental analysis and status analysis based on the speed data and road type information, the current driving environment and vehicle driving status can be obtained, and the current driving conditions of the vehicle can be fully understood, thereby providing an accurate basis for authority allocation; by inputting the current driving environment and vehicle driving status into a preset authority analysis model, an authority allocation plan is obtained, and the shared authority is adjusted according to the authority allocation plan, and the operating authority of the central control tablet can be dynamically adjusted according to the real-time driving conditions, thereby improving the intelligence level of authority management and enhancing the user's operating experience while ensuring safety.
[0009] In one example, the present application may be further configured as follows: the construction of the authority analysis model specifically includes: Acquire a historical test driving environment and a historical test driving state, and acquire driving influence information of different operation permissions on the driving position corresponding to the historical test driving environment and the historical test driving state; Classifying the impact types corresponding to the different posture impact information, and encapsulating the historical test driving environment and the historical test driving state according to the classification results to obtain a model training data set; The preset machine learning algorithm is iteratively trained according to the model training data set to obtain the permission analysis model.
[0010] By adopting the above technical solution, by obtaining the historical test driving environment and the historical test driving status, and obtaining the driving impact information of different operating permissions on the driving seat under the corresponding historical test driving environment and driving status, it is possible to accumulate rich driving data and permission allocation experience, thereby providing effective data support for the training of the permission analysis model; by classifying the impact types corresponding to different driving impact information, and encapsulating the historical test driving environment and driving status according to the classification results, a model training data set is obtained, which can provide a high-quality data set for the iterative training of the model, thereby improving the accuracy and adaptability of the permission analysis model; iterative training of the preset machine learning algorithm based on the model training data set can continuously optimize the permission analysis model, thereby improving the intelligence level and accuracy of permission allocation, thereby providing a more scientific decision-making basis for the adjustment of shared permissions of the central control tablet device.
[0011] In one example, the present application may be further configured as follows: the construction of the authority analysis model further includes: The driving experience of the car owner is obtained, and current driving impact information is extracted from the driving experience of the car owner, parameters of the authority analysis model are adjusted according to the current driving impact information, and owner habit adaptation training is performed to update the authority analysis model.
[0012] By adopting the above technical solution, by obtaining the car owner's driving experience and extracting the current driving impact information from the car owner's driving experience, the parameters of the authority analysis model can be adjusted according to the car owner's actual driving experience, so that the model is more in line with personalized needs; by adjusting the parameters of the authority analysis model according to the current driving impact information and conducting owner habit adaptation training, the authority analysis model can gradually adapt to the car owner's driving habits, thereby realizing personalized allocation of driving seat operation permissions, further improving the driving experience and vehicle controllability, and enhancing the system's intelligence level and user satisfaction.
[0013] In one example, the present application may be further configured as follows: obtaining a passenger portrait in the vehicle, performing age analysis based on the passenger portrait in the vehicle, and adjusting the sharing permissions of the plurality of central control tablets based on the age analysis result, specifically including: Acquiring biometric data of the passenger, and generating a portrait of the passenger in the vehicle based on the biometric data; According to the age analysis result, the operation authority of the central control tablet device at the location of passengers of different age groups is adjusted.
[0014] By adopting the above technical solution, by obtaining the biometric data of the passengers and generating a passenger portrait in the car based on the biometric data, the age group and related characteristics of the passengers can be accurately identified, thereby providing detailed user information for authority management; adjusting the operating permissions of the central control tablet device at the location of passengers of different age groups according to the age analysis results can effectively prevent young passengers from misoperating or contacting inappropriate functions, thereby improving the safety of the vehicle's internal environment and the rationality of operating permission management, and further ensuring the user experience and riding safety of all passengers.
[0015] In one example, the present application may be further configured as follows: the control sharing method of the automobile central control tablet further includes: Obtaining the authority management settings of the driver's seat, and generating a corresponding preset authority allocation scheme according to the authority management settings; The preset permission allocation scheme selected by the driver's seat is obtained, and the sharing permissions of the multiple central control tablet devices are adjusted according to the preset permission allocation scheme.
[0016] By adopting the above technical solution, by obtaining the permission management settings of the driver's seat and generating a corresponding preset permission allocation plan based on the permission management settings, the driver can pre-set the permission allocation rules of the central control tablet according to personal needs and driving conditions, thereby improving the flexibility and controllability of permission allocation; obtaining the preset permission allocation plan selected by the driver's seat, and adjusting the shared permissions of multiple central control tablet devices according to the preset permission allocation plan, it is possible to achieve instant adjustment of permissions during driving, thereby improving the driver's operating convenience and the overall response speed of the vehicle system, ensuring that the best permission management effect can be achieved in various driving environments.
[0017] The second object of the invention is achieved by the following technical solutions: A control sharing system for a car central control tablet, the control sharing system for the car central control tablet comprising: A device connection module, used to obtain and connect multiple central control tablet devices through the in-vehicle high-speed wireless local area network, so that the multiple central control tablet devices form an interconnected network; A permission adjustment module, used to obtain the current driving environment and the vehicle driving state, and analyze the current driving environment and the vehicle driving state according to the permission analysis model, and dynamically adjust the sharing permissions of the plurality of central control tablet devices according to the analysis results; A passenger analysis module, used to obtain a passenger portrait in the vehicle, perform age analysis based on the passenger portrait in the vehicle, and adjust the sharing permissions of the plurality of central control tablets based on the age analysis result; The security monitoring module is used to evaluate the security risks of the sharing process through real-time security monitoring functions, trigger risk warnings when there are security risks, and adjust the permissions of multiple central control tablet devices.
[0018] By adopting the above technical solution, multiple central control tablet devices are obtained and connected through the high-speed wireless local area network in the vehicle, so that the multiple central control tablet devices form an Internet network, which can realize data intercommunication and operation synchronization between the multiple central control tablet devices, thereby improving the efficiency of information sharing within the vehicle and the convenience of central control operation; by obtaining the current driving environment and vehicle driving status, and analyzing the current driving environment and vehicle driving status according to the authority analysis model, the sharing authority of the central control tablet device can be dynamically adjusted to make the authority management more flexible and intelligent, thereby improving driving safety and user experience; by obtaining the portrait of the passengers in the car and analyzing them according to the age of the passengers, the sharing authority of the central control tablet can be adjusted for passengers of different age groups to ensure the safety of children and elderly passengers, thereby improving the intelligence and humanization of the system; the security risks of the sharing process are evaluated through the real-time security monitoring function, and risk prompts are triggered when there are security risks and the authority of the central control tablet device is adjusted, which can timely prevent potential security threats, thereby improving the security and reliability of the entire system.
[0019] The third objective of the present application is achieved through the following technical solutions: A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the control sharing method of the above-mentioned automobile central control tablet when executing the computer program.
[0020] The fourth objective of the present application is achieved through the following technical solutions: A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the control sharing method of the above-mentioned automobile central control tablet are implemented.
[0021] In summary, this application includes the following beneficial technical effects: 1. Through the high-speed wireless LAN in the car, multiple central control tablet devices are acquired and connected, so that multiple central control tablet devices form an Internet network, which can realize data intercommunication and operation synchronization between multiple central control tablet devices, thereby improving the efficiency of information sharing within the vehicle and the convenience of central control operation; by acquiring the current driving environment and vehicle driving status, and analyzing the current driving environment and vehicle driving status according to the permission analysis model, the sharing permissions of the central control tablet device can be dynamically adjusted to make permission management more flexible and intelligent, thereby improving driving safety and user experience; by acquiring the portrait of the passengers in the car and analyzing them according to the age of the passengers, the sharing permissions of the central control tablet can be adjusted for passengers of different age groups to ensure the safety of children and elderly passengers, thereby improving the intelligence and humanization of the system; through the real-time security monitoring function, the security risks of the sharing process are evaluated, and when there are security risks, risk prompts are triggered and permissions of the central control tablet device are adjusted, which can prevent potential security threats in time, thereby improving the security and reliability of the entire system; 2. By obtaining the vehicle's speed data and road type information, and performing environmental analysis and status analysis based on the speed data and road type information, the current driving environment and vehicle driving status can be obtained, and the current driving conditions of the vehicle can be fully understood, thereby providing an accurate basis for authority allocation; by inputting the current driving environment and vehicle driving status into the preset authority analysis model, an authority allocation plan is obtained, and the shared authority is adjusted according to the authority allocation plan, and the operation authority of the central control tablet can be dynamically adjusted according to the real-time driving conditions, thereby improving the intelligent level of authority management and enhancing the user's operating experience under the premise of ensuring safety; 3. By obtaining the biometric data of passengers and generating in-vehicle passenger portraits based on the biometric data, the age group and related characteristics of the passengers can be accurately identified, thereby providing detailed user information for permission management; adjusting the operating permissions of the central control tablet device at the location of passengers of different age groups based on the age analysis results can effectively prevent young passengers from misoperating or accessing inappropriate functions, thereby improving the safety of the vehicle's internal environment and the rationality of operating permission management, and further ensuring the user experience and riding safety of all passengers. BRIEF DESCRIPTION OF THE DRAWINGS
[0022] Figure 1 is a flow chart of a control sharing method of a car central control tablet in one embodiment of the present application; Figure 2 This is a flowchart for implementing step S20 in the control sharing method of the automobile central control tablet in one embodiment of the present application; Figure 3 It is a flowchart for implementing the construction of a permission analysis model in a control sharing method for a central control tablet of an automobile in one embodiment of the present application; Figure 4It is another implementation flow chart of constructing a permission analysis model in a control sharing method for a central control tablet of an automobile in one embodiment of the present application; Figure 5 This is a flowchart for implementing step S30 in the control sharing method of the automobile central control tablet in one embodiment of the present application; Figure 6 This is another implementation flow chart of the control sharing method of the automobile central control tablet in one embodiment of the present application; Figure 7 This is a principle block diagram of a control sharing system of a car central control tablet in one embodiment of the present application; Figure 8 It is a schematic diagram of a device in an embodiment of the present application. DETAILED DESCRIPTION
[0023] The present application is further described in detail below in conjunction with the accompanying drawings.
[0024] In one embodiment, if Figure 1 As shown, the present application discloses a control sharing method for a car central control tablet, which specifically includes the following steps: S10: Acquire and connect multiple central control tablet devices through the in-vehicle high-speed wireless local area network, so that the multiple central control tablet devices form an Internet network.
[0025] Specifically, a LAN connection is established through the vehicle's built-in high-speed wireless LAN module to ensure that all central control tablet devices can operate in the same network environment. The system will automatically scan all central control tablet devices in the vehicle, identify the unique identification of each device, and include it in the device list in the LAN. By assigning dynamic IP addresses, it ensures that each central control tablet device has an independent communication channel in the LAN to ensure data interoperability and security. During the device connection process, the system will also verify the connection status of each central control tablet to ensure that all devices have successfully joined the network and formed an Internet network to achieve subsequent sharing and collaboration functions.
[0026] S20: Obtain the current driving environment and vehicle driving status, and analyze the current driving environment and vehicle driving status according to the permission analysis model, and dynamically adjust the sharing permissions of multiple central control tablet devices according to the analysis results.
[0027] Specifically, through the vehicle's built-in sensors and monitoring equipment, the current driving environment data and vehicle driving status information, such as vehicle speed, road type, traffic conditions, etc., are collected in real time, and these data are input into the preset permission analysis model to evaluate the permission requirements of each central control tablet device, and dynamically adjust the sharing permissions of each central control tablet device. For example, when driving at high speeds or under complex road conditions, the system may limit the operating permissions of certain central control tablets to reduce the risk of driver distraction. In a safe driving environment, the system may open more permissions to allow passengers to perform more operations and entertainment activities.
[0028] S30: Obtaining a portrait of a passenger in the vehicle, performing an age analysis based on the portrait of the passenger in the vehicle, and adjusting sharing permissions of multiple central control tablets based on the age analysis result.
[0029] Specifically, the system first obtains the basic information of each passenger through the passenger's biometric data, such as facial recognition, voice recognition and other technologies, generates an in-car passenger portrait, and performs age group analysis based on the age information in the passenger portrait to determine the needs and operating permissions of different passengers. The system then automatically adjusts the central control tablet device permissions related to passengers of different age groups based on the analysis results. For example, for younger passengers, the system may restrict their access to certain complex or inappropriate functions, such as navigation settings or advanced vehicle controls, while for adults, more permissions may be granted, such as music control, entertainment system operation, etc., to ensure that each passenger's experience meets the needs and safety requirements of their age group.
[0030] S40: Assess the security risks of the sharing process through real-time security monitoring function, trigger risk warnings when there are security risks, and adjust the permissions of multiple central control tablet devices.
[0031] Specifically, through the installation of a variety of sensors and cameras in the vehicle, the system continuously monitors the safety status inside and outside the vehicle and analyzes the passenger's behavior and changes in the driving environment. Once factors that may affect safety are detected, such as driver distraction, unsafe operation of passengers or sudden changes in the external environment, the system will immediately evaluate the impact of these risks on the sharing process. If the evaluation results show that there are potential safety risks, the system will trigger corresponding risk warnings, such as displaying a warning message on the central control screen or issuing a voice reminder. At the same time, the operating permissions of each central control tablet device will be automatically adjusted according to the evaluation results, such as temporarily restricting the use of entertainment functions, or prohibiting control of the vehicle's core functions, so as to minimize safety risks and ensure the safety of drivers and passengers.
[0032] In one embodiment, if Figure 2As shown, in step S20, the current driving environment and vehicle driving status are obtained, and the current driving environment and vehicle driving status are analyzed according to the authority analysis model, and the sharing permissions of multiple central control tablet devices are dynamically adjusted according to the analysis results, specifically including: S21: Acquire the speed data and road type information of the vehicle, perform environment analysis and state analysis based on the speed data and road type information, and obtain the current driving environment and vehicle driving state.
[0033] Specifically, the vehicle speed data is obtained in real time through the vehicle speed sensor and GPS system, and combined with map information and road signs to determine the type of road the vehicle is currently on, such as highways, urban roads, rural roads, etc., and based on these data, the complexity of the current driving environment is analyzed, such as road width, traffic flow, and potential dangerous sections. The vehicle's driving status is then evaluated, including parameters such as the vehicle's acceleration, stability, and steering angle. Through a comprehensive analysis of the environment and status, the system can accurately determine the risk level of the current driving environment, and use it as the basis for subsequent authority adjustments, providing a safe driving experience for drivers and passengers.
[0034] S22: Input the current driving environment and vehicle driving status into a preset authority analysis model to obtain an authority allocation plan, and adjust the shared authority according to the authority allocation plan.
[0035] Specifically, the acquired current driving environment data and vehicle driving status information are input into a preset permission analysis model. Based on these input data, the model uses machine learning algorithms and rule engines to generate the optimal permission allocation plan according to safety requirements and passenger usage needs under different driving conditions, and dynamically adjusts the permissions of each central control tablet device. For example, in heavy traffic or complex roads, it is recommended to limit the operating permissions of certain tablet devices to reduce interference to the driver. In a stable driving environment, more devices are allowed to share operating permissions. Subsequently, according to the generated permission allocation plan, the permission settings of each central control tablet device are automatically adjusted to ensure that the permission allocation is reasonable and safe in different driving environments.
[0036] In one embodiment, if Figure 3 As shown, in step S20, i.e., the construction of the authority analysis model, specifically includes: S201: Acquire a historical test driving environment and a historical test driving state, and acquire driving influence information of different operation permissions on the driving seat under the corresponding historical test driving environment and historical test driving state.
[0037] Specifically, by collecting and recording a large amount of historical driving data, including test results in different driving environments and driving conditions, it covers the impact of operating permissions on drivers under various driving conditions, from city driving to highways, from day to night, from sunny days to bad weather, such as the impact of turning on the entertainment system on the driver's attention while driving at high speed, or the safety of using the navigation function on complex roads, etc., and these test data are analyzed and classified to extract the specific impact information of different operating permissions on the driver in each driving environment and state.
[0038] S202: Classify the impact types corresponding to different posture impact information, and encapsulate the historical test driving environment and the historical test driving state according to the classification results to obtain a model training data set.
[0039] Specifically, different driving impact information in historical test data is classified according to the severity of the impact, the type of impact such as visual interference, auditory interference, operational complexity, and the duration and frequency of the impact. The classified data are then packaged and processed, and similar impact types and driving conditions are combined together to form a more representative model training data set, including rich driving environment and status information, as well as corresponding operational authority impact information, providing comprehensive and diverse data support for the training of the authority analysis model.
[0040] S203: Iteratively train the preset machine learning algorithm according to the model training data set to obtain a permission analysis model.
[0041] Specifically, after obtaining the packaged training data set, the system will select a suitable machine learning algorithm, such as a decision tree, random forest or deep learning model, and perform iterative training. During the training process, the system continuously adjusts the parameters and structure of the model to improve the model's predictive ability for authority allocation issues. Through multiple rounds of iterative training, the model gradually learns how to perform optimal authority allocation in different driving environments and driving conditions until the error value between the result obtained from the input data and the established result does not exceed 5%, and a permission analysis model is generated.
[0042] In one embodiment, if Figure 4 As shown, in step S20, that is, the construction of the authority analysis model, further includes: S204: Acquire the driving experience of the car owner, and extract the current driving impact information from the driving experience of the car owner, adjust the parameters of the authority analysis model according to the current driving impact information, and perform the owner's habit adaptation training, thereby updating the authority analysis model.
[0043] Specifically, the driving experience information is obtained through user feedback or directly from the driver's operating behavior, including the driver's preference or dissatisfaction with operating authority in specific situations, and the actual impact information of the current driving process is extracted from these driving experience data, such as the driver's line of sight distraction when using the navigation system or the sense of pressure when driving during peak hours. According to this actual impact information, the parameters of the authority analysis model are fine-tuned so that the model can better adapt to the driving habits and preferences of the car owner, and adaptation training of the car owner's habits is carried out. By analyzing the car owner's authority selection habits in different situations, the decision logic of the model is updated, thereby providing a more personalized and safe authority allocation plan in future driving.
[0044] In one embodiment, if Figure 5 As shown, in step S30, the portrait of the passenger in the car is obtained, the age analysis is performed according to the portrait of the passenger in the car, and the sharing permissions of multiple central control tablets are adjusted according to the age analysis results, which specifically includes: S31: Obtain the passenger's biometric data, and generate a passenger portrait in the vehicle based on the biometric data.
[0045] Specifically, through the biometric devices in the car, such as facial recognition cameras, voice recognition microphones, etc., the passengers' biometric data is collected in real time, including basic information such as the passengers' age, gender, identity, as well as dynamic characteristics such as emotional state and body posture. These biometric data are analyzed and processed to generate an independent portrait of each passenger, including the passenger's identity information, current status and potential needs, etc. For example, by analyzing the passenger's facial expressions and postures, the system can determine whether the passenger feels comfortable or needs help. Based on this portrait information, the operating permissions and content display of the central control tablet are customized for different passengers, thereby improving the passenger experience and safety.
[0046] S32: According to the age analysis result, the operation authority of the central control tablet device at the location of passengers of different age groups is adjusted.
[0047] Specifically, after generating the passenger portrait, the passenger's age information will be analyzed in detail to determine the operating authority requirements of each passenger. For children and adolescent passengers, the system may restrict their use of certain complex functions or access to certain sensitive content, such as navigation systems and vehicle settings. For adult passengers, more permissions may be allowed, such as full operation of the entertainment system, connection to external devices, access to the Internet, etc. The system will automatically adjust the permission settings of the central control tablet device at their location according to the passenger's age group to ensure that each passenger's operating authority meets both their needs and safety standards.
[0048] In one embodiment, if Figure 6 As shown, the control sharing method of the automobile central control tablet also includes: S50: Acquire the authority management settings of the driver's seat, and generate a corresponding preset authority allocation plan according to the authority management settings.
[0049] Specifically, car owners can manually set permission allocation in the system settings, select the functions that different central control devices can control and the areas corresponding to the functions, such as the central control tablet device in the rear area can only control the air conditioning system in the rear area, etc. The system generates one or more preset permission allocation plans based on these settings.
[0050] S60: Obtain a preset permission allocation scheme for the driver's seat selection, and adjust sharing permissions for multiple central control tablet devices according to the preset permission allocation scheme.
[0051] Specifically, when the car owner selects a different permission allocation plan, the system will immediately adjust the sharing permissions of multiple central control tablet devices according to the plan, and configure the access rights, operation permissions and content display permissions of each tablet device to ensure that the allocation of these permissions matches the current driving environment and the driver's needs.
[0052] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.
[0053] In one embodiment, a control sharing system for a car central control tablet is provided, and the control sharing system for a car central control tablet corresponds one-to-one to the control sharing method for a car central control tablet in the above embodiment. Figure 7 As shown, the control sharing system of the car central control tablet includes a device connection module, a permission adjustment module, a passenger analysis module, and a security monitoring module. The detailed description of each functional module is as follows: A device connection module, used to obtain and connect multiple central control tablet devices through the in-vehicle high-speed wireless local area network, so that the multiple central control tablet devices form an interconnected network; A permission adjustment module, used to obtain the current driving environment and the vehicle driving state, and analyze the current driving environment and the vehicle driving state according to the permission analysis model, and dynamically adjust the sharing permissions of the plurality of central control tablet devices according to the analysis results; A passenger analysis module, used to obtain a passenger portrait in the vehicle, perform age analysis based on the passenger portrait in the vehicle, and adjust the sharing permissions of the plurality of central control tablets based on the age analysis result; The security monitoring module is used to evaluate the security risks of the sharing process through real-time security monitoring functions, trigger risk warnings when there are security risks, and adjust the permissions of multiple central control tablet devices.
[0054] Optionally, the permission adjustment module specifically includes: An environment analysis module, used to obtain speed data and road type information of the vehicle, and perform environment analysis and state analysis based on the speed data and the road type information to obtain the current driving environment and the driving state of the vehicle; The authority allocation module is used to input the current driving environment and the vehicle driving state into the preset authority analysis model to obtain an authority allocation scheme, and adjust the shared authority according to the authority allocation scheme.
[0055] Optionally, the construction of a permission analysis model includes: A model building module, used to obtain a historical test driving environment and a historical test driving state, and obtain driving influence information of different operation permissions on the driving position corresponding to the historical test driving environment and the historical test driving state; A data encapsulation module, used for classifying the impact types corresponding to the different driving impact information, and encapsulating the historical test driving environment and the historical test driving state according to the classification results to obtain a model training data set; The training module is used to iteratively train the preset machine learning algorithm according to the model training data set to obtain the permission analysis model.
[0056] Optionally, the construction of the permission analysis model also includes: The experience adjustment module is used to obtain the driving experience of the car owner and extract the current driving impact information from the driving experience of the car owner, adjust the parameters of the authority analysis model according to the current driving impact information, and perform the owner's habit adaptation training to update the authority analysis model.
[0057] Optionally, the passenger analysis module specifically includes: A biometric module, used to obtain biometric data of a passenger and generate a passenger portrait in the vehicle based on the biometric data; The permission adjustment module is used to adjust the operation permissions of the central control tablet device at the locations of passengers of different age groups according to the age analysis results.
[0058] Optionally, the control sharing system of the car's central control tablet also includes: A management setting module, used to obtain the permission management setting of the driver's seat and generate a corresponding preset permission allocation plan according to the permission management setting; The permission adjustment module is used to obtain the preset permission allocation scheme selected by the driver's seat, and adjust the sharing permissions of the multiple central control tablet devices according to the preset permission allocation scheme.
[0059] For the specific definition of the control sharing system of the car central control tablet, please refer to the definition of the control sharing method of the car central control tablet above, which will not be repeated here. Each module in the control sharing system of the above-mentioned car central control tablet can be implemented in whole or in part by software, hardware and their combination. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.
[0060] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 8 As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a control sharing method for a car central control tablet is implemented.
[0061] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program: Acquire and connect multiple central control tablet devices through the in-car high-speed wireless LAN, so that multiple central control tablet devices form an Internet network; Obtain the current driving environment and vehicle driving status, analyze the current driving environment and vehicle driving status according to the permission analysis model, and dynamically adjust the sharing permissions of multiple central control tablet devices according to the analysis results; Obtain the passenger portraits in the car, perform age analysis based on the passenger portraits, and adjust the sharing permissions of multiple central control tablets based on the age analysis results; The real-time security monitoring function is used to assess the security risks of the sharing process, trigger risk warnings when there are security risks, and adjust permissions for multiple central control tablet devices.
[0062] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented: Acquire and connect multiple central control tablet devices through the in-car high-speed wireless LAN, so that multiple central control tablet devices form an Internet network; Obtain the current driving environment and vehicle driving status, analyze the current driving environment and vehicle driving status according to the permission analysis model, and dynamically adjust the sharing permissions of multiple central control tablet devices according to the analysis results; Obtain the passenger portraits in the car, perform age analysis based on the passenger portraits, and adjust the sharing permissions of multiple central control tablets based on the age analysis results; The real-time security monitoring function is used to assess the security risks of the sharing process, trigger risk warnings when there are security risks, and adjust permissions for multiple central control tablet devices.
[0063] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
[0064] Those skilled in the art will clearly understand that for the sake of convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the system can be divided into different functional units or modules to complete all or part of the functions described above.
[0065] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.
Claims
1. A control sharing method for a car central control tablet, characterized in that: The control sharing method of the automobile central control tablet comprises: Acquire and connect multiple central control tablet devices through the in-vehicle high-speed wireless local area network, so that the multiple central control tablet devices form an Internet network; Acquire the current driving environment and the vehicle driving status, analyze the current driving environment and the vehicle driving status according to the permission analysis model, and dynamically adjust the sharing permissions of the plurality of central control tablet devices according to the analysis results; Obtaining a portrait of a passenger in the vehicle, performing an age analysis based on the portrait of the passenger in the vehicle, and adjusting the sharing permissions of the plurality of central control tablets based on the age analysis result; The security risks of the sharing process are evaluated through the real-time security monitoring function, and risk warnings are triggered when there are security risks, and permissions of multiple central control tablet devices are adjusted.
2. The control sharing method of the automobile central control tablet according to claim 1 is characterized in that: The obtaining of the current driving environment and the vehicle driving state, analyzing the current driving environment and the vehicle driving state according to the authority analysis model, and dynamically adjusting the sharing authority of the plurality of central control tablet devices according to the analysis results specifically includes: Acquiring speed data and road type information of the vehicle, performing environment analysis and state analysis based on the speed data and the road type information, and obtaining the current driving environment and the driving state of the vehicle; The current driving environment and the vehicle driving state are input into the preset authority analysis model to obtain an authority allocation scheme, and the shared authority is adjusted according to the authority allocation scheme.
3. The control sharing method of the automobile central control tablet according to claim 1 is characterized in that: The construction of the permission analysis model specifically includes: Acquire a historical test driving environment and a historical test driving state, and acquire driving influence information of different operation permissions on the driving position corresponding to the historical test driving environment and the historical test driving state; Classifying the impact types corresponding to the different posture impact information, and encapsulating the historical test driving environment and the historical test driving state according to the classification results to obtain a model training data set; The preset machine learning algorithm is iteratively trained according to the model training data set to obtain the permission analysis model.
4. The control sharing method of the automobile central control tablet according to claim 3 is characterized in that: The construction of the authority analysis model also includes: The driving experience of the car owner is obtained, and current driving impact information is extracted from the driving experience of the car owner, parameters of the authority analysis model are adjusted according to the current driving impact information, and owner habit adaptation training is performed to update the authority analysis model.
5. The control sharing method of the automobile central control tablet according to claim 1 is characterized in that: The obtaining of the in-vehicle passenger portrait, performing age analysis according to the in-vehicle passenger portrait, and adjusting the sharing permissions of the plurality of central control tablets according to the age analysis result specifically includes: Acquiring biometric data of the passenger, and generating a portrait of the passenger in the vehicle based on the biometric data; According to the age analysis result, the operation authority of the central control tablet device at the location of passengers of different age groups is adjusted.
6. The control sharing method of the automobile central control tablet according to claim 1 is characterized in that: The control sharing method of the automobile central control tablet also includes: Obtaining the authority management settings of the driver's seat, and generating a corresponding preset authority allocation scheme according to the authority management settings; The preset permission allocation scheme selected by the driver's seat is obtained, and the sharing permissions of the multiple central control tablet devices are adjusted according to the preset permission allocation scheme.
7. A control sharing system for a car central control tablet, characterized in that: The control sharing system of the automobile central control tablet comprises: A device connection module, used to obtain and connect multiple central control tablet devices through the in-vehicle high-speed wireless local area network, so that the multiple central control tablet devices form an interconnected network; A permission adjustment module, used to obtain the current driving environment and the vehicle driving state, and analyze the current driving environment and the vehicle driving state according to the permission analysis model, and dynamically adjust the sharing permissions of the plurality of central control tablet devices according to the analysis results; A passenger analysis module, used to obtain a passenger portrait in the vehicle, perform age analysis based on the passenger portrait in the vehicle, and adjust the sharing permissions of the plurality of central control tablets based on the age analysis result; The security monitoring module is used to evaluate the security risks of the sharing process through real-time security monitoring functions, trigger risk warnings when there are security risks, and adjust the permissions of multiple central control tablet devices.
8. The control sharing system of the automobile central control tablet according to claim 7 is characterized in that: The permission adjustment module specifically includes: An environment analysis module, used to obtain speed data and road type information of the vehicle, and perform environment analysis and state analysis based on the speed data and the road type information to obtain the current driving environment and the driving state of the vehicle; The authority allocation module is used to input the current driving environment and the vehicle driving state into the preset authority analysis model to obtain an authority allocation scheme, and adjust the shared authority according to the authority allocation scheme.
9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the control sharing method of the automobile central control tablet as claimed in any one of claims 1 to 6 are implemented.
10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the control sharing method of the automobile central control tablet as claimed in any one of claims 1 to 6 are implemented.
