Privacy communication method and system based on vehicle machine / mobile terminal equipment interconnection

Abstract

The invention discloses a privacy communication method and system based on vehicle machine / mobile terminal equipment interconnection, and the method comprises the steps: monitoring the pressure data of an automobile seat in real time through a pressure sensor of the automobile seat, and analyzing the occupied state of the automobile seat through a vehicle-mounted calculation platform through a preset algorithm, the privacy mode starting program switches a mobile terminal device interconnected with the vehicle-mounted terminal into a background operation state, and locks a vehicle-mounted terminal interface; and continuously monitoring the occupied condition of the automobile seat, and generating a corresponding log file through the vehicle-mounted computing platform. According to the optimized design realized by the invention, whether other users ride in the main driving position or other passenger positions or not is judged according to the seat controller, and if the driver leaves the main driving position or the passenger position, the cinnabar privacy mode is automatically switched without additional operation of the user, so that the user experience is improved. Other passenger position users do not need to perceive privacy mode operation switching of the main driving position, the operation process is simplified, and the main driving experience is improved.

Description

Technical Field

[0001] The present invention relates to a privacy communication method and system, and in particular to a privacy communication method and system based on vehicle-machine / mobile terminal device interconnection. Background Art

[0002] At present, the use scenarios of family vehicles usually involve multiple drivers or multiple passengers. Unlike mobile phones, cars are not all for private use. With the development of new energy vehicles, the size of the car computer's infotainment system has become larger, the ductility has increased, and the supported applications are richer. The car computer's central control screen also supports more operations and use by the co-pilot or rear passengers. Therefore, car manufacturers are gradually adding the main driver's privacy mode. On the other hand, in the context of the rapid development of smart 5G, smartphones, as a carrier of technology and a medium for data information transmission, are highly integrated with people's lives. Personal information, data, property, and identity are all tied to each user through the mobile phone, and are extremely private personal items.

[0003] Car-to-car interconnection refers to the connection between cars and mobile phones through wired or wireless means, which allows mobile phone applications to be used in the car computer, expanding the car ecosystem. The car-to-car interconnection function has entered a large-scale and rapid development this year. Various automobile manufacturers are supporting the interconnection functions of different brands, focusing on application support and the expansion of mobile phone brands and models. However, privacy scenarios have not yet been laid out, which can no longer meet people's requirements and urgently needs to be improved. Summary of the invention

[0004] The purpose of the present invention is to provide a privacy communication method and system based on vehicle-machine / mobile device interconnection, so as to prevent personal information, applications, data and other contents from being viewed by other passengers when the mobile phone and vehicle-machine are connected to use the application, thereby solving the shortcomings of the prior art.

[0005] The present invention provides the following scheme:

[0006] A privacy communication method based on vehicle-machine / mobile terminal device interconnection is applied to a privacy communication system based on vehicle-machine / mobile terminal device interconnection, comprising:

[0007] The pressure sensor of the car seat is used to monitor the pressure data of the car seat in real time, and transmit the pressure data to the vehicle computing platform;

[0008] The vehicle computing platform receives the pressure data from the pressure sensor, analyzes the occupied state of the vehicle seat through a preset algorithm, and automatically executes a privacy mode startup program if it is detected that the vehicle seat is not occupied. The privacy mode startup program switches the mobile terminal device connected to the vehicle computer to a background operation state and locks the vehicle computer interface.

[0009] The occupancy status of the car seats is continuously monitored, and a corresponding log file is generated through the vehicle computing platform. The log file is used to store the passenger's location, identity and vehicle computer usage.

[0010] Furthermore, the method of monitoring the pressure data of the car seat in real time through the pressure sensor of the car seat and transmitting the pressure data to the vehicle-mounted computing platform further includes:

[0011] The pressure sensor is a thin-film contact sensor arranged in the seat cushion and backrest area of ​​the automobile seat, and the thin-film contact sensor forms a sensor array.

[0012] The sensor array transmits the collected pressure data to the on-board computing platform, and the pressure data collected by the sensor array is classified and identified based on the support vector machine algorithm of machine learning, and the SVM algorithm classification result is generated to identify the specific position of the passenger;

[0013] The vehicle-mounted computing platform applies the Kalman filter algorithm to smooth the classification result of the SVM algorithm to obtain real-time pressure data;

[0014] Whether there is a passenger on the car seat is detected according to the real-time pressure data, and if it is determined that there is no passenger on the car seat, the privacy mode is automatically triggered.

[0015] Furthermore, the support vector machine algorithm based on machine learning classifies and identifies the pressure data collected by the sensor array, and also includes:

[0016] The on-board computing platform is based on adaptive learning capabilities and automatically adjusts the parameters of the support vector machine algorithm based on real-time and historical data;

[0017] Using neural network or reinforcement learning prediction models, by continuously acquiring interaction data between mobile devices and vehicle computers, combined with passengers' historical usage patterns and personalized preferences, privacy settings can be intelligently adjusted;

[0018] The on-board computing platform sends the intelligently adjusted privacy setting results to the mobile device through the Internet of Vehicles. The mobile device obtains the intelligently adjusted privacy settings for storage and data analysis.

[0019] Furthermore, the vehicle-mounted computing platform receives the pressure data from the pressure sensor and analyzes the occupied state of the vehicle seat through a preset algorithm, further comprising:

[0020] The vehicle computing platform receives pressure data from a film-type contact pressure sensor arranged in the seat cushion and backrest area of ​​the vehicle seat;

[0021] Performing Kalman filtering on the pressure data to obtain smoothed data after Kalman filtering;

[0022] The smoothed data is sent to the vehicle computer, and the interactive operation between the vehicle computing platform and the mobile terminal device is realized through the vehicle computer interactive interface, and the interactive operation includes the setting and adjustment of the privacy mode.

[0023] Furthermore, the continuous monitoring of the occupancy of the car seat and the generation of a corresponding log file through the vehicle computing platform, wherein the log file is used to store the location, identity and vehicle computer usage of the passenger, further includes:

[0024] Perform Kalman filtering on the pressure data in the log file, extract features from the data processed by Kalman filtering, obtain feature data, and identify the passenger's seat position and pressure distribution pattern;

[0025] Using the extracted feature data, the support vector machine classification algorithm is used to perform classification calculations to identify and verify the identity of the passenger;

[0026] Based on the recognition results, the on-board computing platform generates a detailed log file to record the location, identity and vehicle computer usage of each passenger, forms a synchronization file, and synchronizes the synchronization in real time on the vehicle computer and mobile devices based on the Internet of Vehicles.

[0027] Furthermore, based on the recognition results, the vehicle computing platform generates a detailed log file to record the location, identity and vehicle computer usage of each passenger, specifically:

[0028] Utilize the infrared sensor controller and biometric module in the vehicle to detect and identify passengers in other areas of the vehicle and obtain their precise location and identity information;

[0029] The vehicle computing platform receives the output data of the infrared sensing controller and the biometric recognition module in the vehicle, and performs data analysis on the location and identity information of the passengers through a preset data processing algorithm;

[0030] Based on data fusion technology, data from infrared sensors at different locations in the car are obtained, the data from infrared sensors at different locations in the car are analyzed and integrated, and corresponding log files are generated. The log files at least include timestamps, sensor readings, passenger identification, and vehicle computer operation records.

[0031] A private communication system based on vehicle-machine / mobile terminal device interconnection, used to implement the private communication method based on vehicle-machine / mobile terminal device interconnection, comprising:

[0032] A pressure sensing data acquisition module monitors the pressure data of the car seat in real time through the pressure sensor of the car seat and transmits the pressure data to the vehicle computing platform;

[0033] A car seat occupancy status detection module is used for the vehicle computing platform to receive the pressure data from the pressure sensor, analyze the occupied status of the car seat through a preset algorithm, and automatically execute a privacy mode startup program if it is detected that the car seat is not occupied. The privacy mode startup program transfers the mobile terminal device connected to the vehicle computer to the background running state and locks the vehicle computer interface;

[0034] The vehicle seat occupancy continuous monitoring module is used to continuously monitor the occupancy of the vehicle seats and generate corresponding log files through the vehicle computing platform. The log files are used to store the passenger's location, identity and vehicle computer usage.

[0035] A smart cockpit is provided with the privacy communication system based on vehicle-machine / mobile terminal device interconnection, and executes the privacy communication method based on vehicle-machine / mobile terminal device interconnection.

[0036] An electronic device comprises: a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus; a computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the steps of the method.

[0037] A computer-readable storage medium stores a computer program executable by an electronic device. When the computer program runs on the electronic device, the electronic device executes the steps of the method.

[0038] Compared with the prior art, the present invention has the following advantages:

[0039] The present invention simplifies vehicle privacy operations: the current privacy mode of a vehicle usually needs to be manually operated in the system settings on the central control screen. Through the optimized design achieved by the present invention, the seat controller is used to determine whether there are other users in the main driver's seat or other passenger seats. If the driver leaves the main driver's seat or there is a user in the passenger seat, the privacy mode is automatically switched without the need for the user to perform additional operations. Other passenger seat users also do not need to be aware of the privacy mode operation switch of the main driver's seat, thereby simplifying the operating process and improving the main driving experience.

[0040] The present invention realizes privacy protection: By adding a main driving mode, the present invention effectively prevents personal information, applications, data and other contents from being viewed by other passengers during the process of connecting the mobile phone and the car computer and using the application. If it is determined that there are other passengers in the car or the owner has left the main driving seat, the in-car entertainment screen enters the privacy mode through the mobile phone application displayed by the screen projection, for example: the first-level page of WeChat hides the message details, and WeChat reminders only provide information prompts without displaying specific content; the same is true for messages and calls, which do not display specific content and automatically hide historical call records. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0042] Figure 1 This is a flow chart of a privacy communication method based on vehicle-computer / mobile device interconnection.

[0043] Figure 1A It is a flow chart of the optimization technical solution of step S1.

[0044] Figure 1B It is a flow chart of the optimization technical solution of step S12.

[0045] Figure 1C It is a flow chart of the optimization technical solution of step S2.

[0046] Figure 1D It is a flow chart of the optimization technical solution of step S3.

[0047] Figure 1E It is a flow chart of the optimization technical solution of step S33.

[0048] Figure 2 This is an architectural diagram of a privacy communication system based on the interconnection of vehicle computers and mobile devices.

[0049] Figure 3 It is a flowchart of an implementation of an embodiment of the present invention in a specific application scenario.

[0050] Figure 4 It is a structural diagram of a car seat sensor.

[0051] Figure 5 It is an architectural diagram of the solution for full-scenario smart interconnection between people, cars and homes.

[0052] Figure 6 It is a structural diagram of an electronic device. DETAILED DESCRIPTION

[0053] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0054] like Figure 1 The privacy communication method based on the interconnection between a vehicle machine and a mobile terminal device is applied to a privacy communication system based on the interconnection between a vehicle machine and a mobile terminal device, including:

[0055] Step S1, monitoring the pressure data of the car seat in real time through the pressure sensor of the car seat, and transmitting the pressure data to the vehicle computing platform;

[0056] In step S2, the on-board computing platform receives the pressure data from the pressure sensor, analyzes the occupied status of the car seat through a preset algorithm, and automatically executes the privacy mode startup program if it detects that the car seat is not occupied. The privacy mode startup program switches the mobile device connected to the car computer into the background running state and locks the car computer interface. The function of step S2 is to switch the application of the mobile device into the background running state under the privacy model, and prohibit access to these applications through any operation entrance of the car computer, while maintaining a continuous connection between the mobile phone and the car computer, so that the application of the mobile device continues to run in the background of the car computer.

[0057] Step S3, continuously monitors the occupancy status of the car seats and generates corresponding log files through the on-board computing platform, wherein the log files are used to store the passenger's location, identity and car computer usage; the role of step S3 is to be used for subsequent analysis and optimization of the trigger logic of the privacy mode to ensure the effectiveness and adaptability of the privacy protection measures.

[0058] In the optimization technical scheme of steps S1 to S3, the on-board computing platform can be an on-board computer or an on-board entertainment system, wherein the functions of the on-board computer include but are not limited to an automatic driving assistance system, an infotainment system, power management, and a user interface, while the on-board entertainment system includes but is not limited to navigation, remote diagnosis, and vehicle health monitoring.

[0059] Vehicle seat controllers integrate pressure sensors, position sensors, and other sensors to monitor seat usage and passenger comfort. Seat controllers can adjust seat heating, ventilation, massage functions, as well as seat position and tilt angle.

[0060] The vehicle seat controller can interact with the on-board computing platform. The two are usually connected and communicated with each other through the vehicle's internal network (such as CAN bus or Ethernet) to ensure that all functions of the vehicle can work together to synchronize the seat settings with other systems of the vehicle. For example, when the vehicle detects that the driver is about to leave the vehicle, the seat controller can automatically adjust the seat position to facilitate the driver to get off the vehicle.

[0061] The technical solution provided in step S1 to step S3 can monitor the pressure data of the car seat in real time and intelligently manage the interconnection status between the vehicle computer and the mobile device according to the pressure data, especially in protecting the privacy of passengers. The technical means include using pressure sensors to monitor the seat occupancy, the vehicle computing platform to analyze the data, and automatically adjust the privacy mode according to the analysis results, and continuously monitor and record the interaction data between the passenger and the vehicle computer.

[0062] Through these steps, the in-vehicle system can automatically start the privacy mode when it detects that the seat is not occupied, transfer the mobile device application to the background and lock the vehicle interface to prevent unauthorized access, while maintaining the connection between devices to ensure that the application continues to run in the background. In addition, the in-vehicle system also collects and stores the passenger's location, identity and vehicle usage through the log recording function for subsequent data analysis and privacy mode optimization to improve the system's intelligence level and the effectiveness of user privacy protection.

[0063] The technical solutions provided in steps S1 to S3 improve the automation and intelligence level of passenger privacy protection and reduce the need for human intervention; through real-time monitoring and automatic response, the response speed and accuracy to changes in passenger privacy status are improved; through continuous data analysis and optimization, the system's adaptability and personalized service capabilities to different passenger behavior patterns are enhanced; by keeping the application running in the background in privacy mode, the continuity and convenience of the user experience are ensured, and the user's application use will not be interrupted even in the privacy protection state.

[0064] In summary, the technical solutions provided by steps S1 to S3 realize the automatic management and protection of privacy content in the vehicle information system. Step S1 provides basic data for subsequent privacy protection measures. In step S2, the vehicle computing platform receives the data from the pressure sensor and analyzes the occupancy status of the car seat through a preset algorithm. When it is detected that the driver leaves the main driving seat or there are other passengers present, the system automatically executes the privacy mode startup program, transfers the mobile device connected to the vehicle computer to the background running state, and locks the vehicle computer interface to prevent the leakage of sensitive information.

[0065] In step S3, the vehicle system not only continuously monitors the occupancy of the car seat, but also generates corresponding log files through the vehicle computing platform to record the location, identity and vehicle computer usage of the passengers. These log files are used for subsequent analysis and optimization of the triggering logic of the privacy mode to ensure the effectiveness and adaptability of privacy protection measures.

[0066] For example, in some embodiments, the technical solutions provided by steps S1 to S3 implement privacy protection of WeChat messages: on the first-level page of WeChat, the system will automatically hide the message details and only display the message prompt without displaying the specific content. In this way, even if other passengers see the car screen, they cannot obtain the specific information of the WeChat message.

[0067] Step S2 can also achieve privacy protection for incoming calls and messages: for incoming calls and text messages, the car computer and its screen also adopt the strategy of not displaying specific content, automatically hiding historical call records and text message content to prevent the owner's private calls and messages from being seen by others when multiple people are riding together.

[0068] Through the above-mentioned intelligent privacy management measures, the technical solutions provided by steps S1 to S3 not only simplify user operations, but also significantly improve the privacy protection capabilities of the in-vehicle information system, ensuring that the owner's personal information and communication content are effectively protected when the car owner is connected to the car computer, while maintaining the social etiquette and harmony of the passengers in the car.

[0069] like Figure 1A As shown, in step S1, the pressure data of the car seat is monitored in real time by the pressure sensor of the car seat, and the pressure data is transmitted to the vehicle computing platform, further comprising:

[0070] Step S11, the pressure sensors are thin-film contact sensors arranged in the seat cushion and backrest area of ​​the car seat, and the thin-film contact sensors form a sensor array.

[0071] Step S12, the sensor array transmits the collected pressure data to the vehicle-mounted computing platform, and classifies and identifies the pressure data collected by the sensor array based on a support vector machine algorithm based on machine learning, and generates an SVM algorithm classification result for identifying the specific position of the passenger;

[0072] In step S13, the vehicle-mounted computing platform applies the Kalman filter algorithm to smooth the classification result of the SVM algorithm to obtain real-time pressure data; the role of applying the Kalman filter algorithm is to reduce noise interference and improve the accuracy of passenger detection.

[0073] Step S14, detecting whether there is a passenger on the car seat based on the real-time pressure data, and if it is determined that there is no passenger on the car seat, the privacy mode is automatically triggered - in the privacy mode, the privacy mode startup program will transfer the application of the mobile device connected to the car computer to the background running state.

[0074] The optimization technical solution provided in steps S11 to S14 realizes intelligent monitoring and analysis of the occupancy status of car seats through advanced sensor technology and data processing algorithms, and improves the privacy protection capability of the vehicle information system by automatically triggering the privacy mode.

[0075] In step S11 , a sensor array is arranged, specifically, thin-film contact sensors are arranged on the seat cushion and backrest area of ​​the car seat to form a sensor array for collecting pressure data on the seat in real time.

[0076] The pressure data is obtained based on the sensor array, and the support vector machine (SVM) algorithm is used to classify and identify the collected pressure data to generate a classification result to identify the specific location of the passenger. The classification result of the SVM algorithm is then smoothed by the Kalman filter algorithm to reduce noise interference and improve the accuracy of passenger detection. Finally, it is detected whether there is a passenger in the seat based on the real-time pressure data. If it is determined that there is no passenger, the privacy mode is automatically triggered, and the application of the mobile device connected to the vehicle computer is switched to the background running state.

[0077] The optimization technical solution provided in steps S11 to S14 realizes automated privacy protection, improves detection accuracy, makes full use of the application of the Kalman filtering algorithm to effectively reduce noise interference, improves the accuracy of passenger detection, and ensures that the privacy mode is triggered under appropriate circumstances. In the privacy mode, the application of the mobile device connected to the vehicle computer is switched to the background running state, which effectively prevents the passenger's personal information, application data and other sensitive content from being viewed by other passengers, enhances privacy protection, provides a safer and more private in-car environment for car owners and passengers, and improves the user experience.

[0078] like Figure 1B As shown, in step S12, the support vector machine algorithm based on machine learning classifies and identifies the pressure data collected by the sensor array, and also includes:

[0079] Step S121, the vehicle computing platform automatically adjusts the parameters of the support vector machine algorithm according to real-time data and historical data based on adaptive learning capabilities;

[0080] Step S122, using a neural network or reinforcement learning prediction model, by continuously acquiring interaction data between the mobile device and the vehicle computer, combined with the passenger's historical usage patterns and personalized preference settings, intelligently adjusting the privacy settings;

[0081] In step S123, the vehicle-mounted computing platform sends the privacy setting results after intelligent adjustment to the mobile terminal device through the Internet of Vehicles. The mobile terminal device obtains the privacy setting after intelligent adjustment for storage and data analysis.

[0082] The optimization technical solution provided in steps S121 to S123 realizes intelligent and personalized management of the privacy settings of passengers in the vehicle through the advanced machine learning algorithms and adaptive learning capabilities integrated in the vehicle computing platform. The vehicle computing platform automatically adjusts the parameters of the support vector machine (SVM) algorithm based on real-time data and historical data to improve the accuracy of passenger location recognition, and uses neural networks or reinforcement learning prediction models, combined with the interaction data between the mobile device and the vehicle computer, as well as the historical usage patterns and personalized preference settings of the passengers, to intelligently adjust the privacy settings. The vehicle computing platform sends the results of the intelligently adjusted privacy settings to the mobile device through the Internet of Vehicles, and the mobile device obtains and stores these settings, and performs data analysis to further optimize the user experience.

[0083] In the optimization technical solution provided in steps S121 to S123, privacy protection can be enhanced. By intelligently adjusting privacy settings, the system can more accurately protect the privacy of passengers based on their actual needs and preferences, reduce unnecessary information exposure, and can adaptively learn and predict passengers' behavior patterns, automatically adjust privacy settings, and provide a personalized user experience. The adaptive learning capability based on iterative generation enables the SVM algorithm to be dynamically adjusted according to actual data, thereby improving the efficiency and accuracy of the algorithm.

[0084] The optimization technical solution provided in step S121 to step S123 is part of the Internet of Vehicles integrated system. The Internet of Vehicles technology realizes data synchronization and communication between the vehicle computing platform and the mobile terminal device, so that the privacy settings can be implemented consistently across devices. It also realizes data-driven decision-making: the data analysis capability of the vehicle computing platform enables the adjustment of privacy settings based on actual interaction data rather than static or preset rules, which is more in line with actual usage scenarios.

[0085] like Figure 1C As shown, in step S2, the vehicle-mounted computing platform receives the pressure data from the pressure sensor, and analyzes the occupied state of the vehicle seat through a preset algorithm, further comprising:

[0086] Step S21, the vehicle-mounted computing platform receives pressure data from a film-type contact pressure sensor arranged in the seat cushion and backrest area of ​​the vehicle seat;

[0087] Step S22, performing Kalman filtering on the pressure data to obtain smoothed data after Kalman filtering;

[0088] Step S23, sending the smoothed data to the vehicle computer, and implementing interactive operations between the vehicle computing platform and the mobile terminal device through the vehicle computer interactive interface, wherein the interactive operations include setting and adjusting the privacy mode.

[0089] The optimization technical solution provided in steps S21 to S23 realizes the accurate monitoring of the occupancy status of the car seats, and based on this information, realizes the intelligent interaction between the on-board computing platform and the mobile terminal device, especially the automatic setting and adjustment of the privacy mode. It can automatically detect whether the seat is occupied and intelligently adjust the privacy mode according to the detection result. There is no need for the driver or passenger to perform manual settings, which improves the automation level of privacy protection. Through the vehicle-computer interaction interface, the driver or passenger can intuitively set and adjust the privacy mode, which enhances the user's interaction experience with the vehicle system.

[0090] like Figure 1D As shown, in step S3, the continuous monitoring of the occupancy of the car seat and the generation of a corresponding log file through the vehicle computing platform, the log file is used to store the location, identity and vehicle computer usage of the passenger, further comprising:

[0091] Step S31, performing Kalman filtering on the pressure data in the log file, extracting features from the data processed by Kalman filtering to obtain feature data, and identifying the seat position and pressure distribution pattern of the passenger;

[0092] Step S32, using the extracted feature data to perform classification calculations through a support vector machine classification algorithm to identify and verify the identity of the passenger;

[0093] Step S33, based on the recognition results, the vehicle computing platform generates a detailed log file to record the location, identity and vehicle computer usage of each passenger, forms a synchronization file, and synchronizes the synchronization in real time on the vehicle computer and the mobile device based on the Internet of Vehicles.

[0094] The optimization technical solution provided in steps S31 to S33 continuously monitors the occupancy status of car seats through the on-board computing platform, and combines advanced data processing and machine learning algorithms to achieve intelligent recognition and verification of passenger identities, while ensuring detailed recording and real-time synchronization of passenger information and vehicle computer usage.

[0095] The optimization technology provided in step S31 to step S33 performs Kalman filtering on the collected pressure data to reduce noise and improve data quality, and then extracts features from the processed data to identify the passenger's seat position and pressure distribution pattern. The extracted feature data is used to identify and verify the passenger through the support vector machine (SVM) classification algorithm to ensure the accuracy of the identification process.

[0096] Accuracy and efficiency. Finally, based on the results of passenger identification, the on-board computing platform generates a detailed log file to record each passenger’s location, identity, and vehicle computer usage, and forms a synchronization file, which is synchronized in real time on the vehicle computer and mobile devices through the Internet of Vehicles technology.

[0097] like Figure 1E As shown, in step S33, based on the recognition result, the vehicle computing platform generates a detailed log file to record the location, identity and vehicle computer usage of each passenger, specifically:

[0098] Step S331, using the infrared sensing controller and biometric module in the car, detect and identify passengers in other areas of the car to obtain the passengers' precise location and identity information; illustratively, the biometric module may include fingerprint recognition, facial recognition and voice recognition systems, etc.

[0099] Step S332, the vehicle computing platform receives the output data of the infrared sensing controller and the biometric recognition module in the vehicle, and performs data analysis on the location and identity information of the passenger through a preset data processing algorithm;

[0100] Step S333, based on data fusion technology, obtain the data from the infrared sensors at different positions in the car, analyze and integrate the data from the infrared sensors at different positions in the car, and generate corresponding log files, which at least include timestamps, sensor readings, passenger identification, and vehicle computer operation records. The significance of obtaining data from infrared sensors at different positions in the car is that it can improve the accuracy of passenger identification and ensure that passengers can be accurately identified in a variety of environments.

[0101] The optimization technical solution provided by steps S331 to S333 utilizes the on-board computing platform to integrate multiple sensors and recognition technologies to achieve accurate detection, recognition and recording of passengers in the vehicle to generate detailed log files. The log files not only record the location and identity information of the passengers, but also record the use of the vehicle computer, thereby providing the vehicle with more personalized and safe services. It also realizes data fusion and log generation, integrates data from infrared sensors at different locations in the vehicle, improves the accuracy of passenger identification, and realizes accurate identification and recording of passengers in the vehicle through intelligent processing of the on-board computing platform, thereby improving the personalization, safety and efficiency of vehicle services, and providing strong data support for vehicle management and maintenance.

[0102] For the method steps disclosed in the above embodiments, the method steps are described as a series of action combinations for the purpose of simple description, but those skilled in the art should know that the embodiments of the present invention are not limited by the order of the actions described, because according to the embodiments of the present invention, some steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions involved are not necessarily required by the embodiments of the present invention.

[0103] Any process or method description described in a flowchart or other manner may be understood as representing a module, fragment or portion of a code including one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations, in which the order shown or discussed may not be followed, including executing and implementing the functions in a substantially simultaneous manner or in a reverse order according to the functions involved, or executing computer instructions and implementing the corresponding functions according to program structures such as loops and branches, which can be naturally understood by those skilled in the art when implementing the embodiments of the present invention.

[0104] like Figure 2 The privacy communication system based on vehicle-machine / mobile terminal device interconnection shown is used to implement the privacy communication method based on vehicle-machine / mobile terminal device interconnection, including:

[0105] A pressure sensing data acquisition module monitors the pressure data of the car seat in real time through the pressure sensor of the car seat and transmits the pressure data to the vehicle computing platform;

[0106] A car seat occupancy status detection module is used for the vehicle computing platform to receive the pressure data from the pressure sensor, analyze the occupied status of the car seat through a preset algorithm, and automatically execute a privacy mode startup program if it is detected that the car seat is not occupied. The privacy mode startup program transfers the mobile terminal device connected to the vehicle computer to the background running state and locks the vehicle computer interface;

[0107] The vehicle seat occupancy continuous monitoring module is used to continuously monitor the occupancy of the vehicle seats and generate corresponding log files through the vehicle computing platform. The log files are used to store the passenger's location, identity and vehicle computer usage.

[0108] The implementation methods of the system described above are merely illustrative, for example, the various functional modules, units or subsystems in the system may or may not be physically separated, or may or may not be physical units, that is, they may be located in the same place, or they may be distributed to multiple different systems and their subsystems or modules. Those skilled in the art may select some or all of the functional modules, units or subsystems according to actual needs to achieve the purpose of the embodiments of the present invention, and those of ordinary skill in the art may understand and implement the above-mentioned situations without creative work.

[0109] like Figure 3 According to current data, 80% of Bluetooth connection scenarios are for the main driver. After the mobile phone of the main driver with strong personal attributes is connected to the car computer in the shared scenario, the user's personal information, applications, and data will be presented on the car computer. Therefore, the privacy mode function is extremely important, and user privacy protection still needs to be strengthened. The embodiment of the present invention generates different interaction modes on the car's central control screen by judging whether there is a passenger on the seat sensor. After the mobile phone establishes a connection with the car computer, the central control screen starts to cast the application screen. When it is identified that the main driver user has left, the hand-car interconnection HMI application automatically retreats to the background and cannot be opened through the car computer's status bar, dock bar, more APP and other entrances. At this time, the hand-car interconnection connection status remains connected, which is convenient for the main driver user to return to the car without reconnecting, ensuring the privacy and security of the main driver user.

[0110] Dynamically adjust the display content. When the sensor recognizes that there are passengers in the front passenger seat or the back seat, and after the mobile phone establishes a connection with the car computer, the application screen is projected for display. When the front passenger seat passenger or the back seat passenger leaves, the application screen projection automatically switches to standard display mode.

[0111] like Figure 4 As shown, the car seat sensor is a thin film contact sensor. The contacts of the sensor are evenly distributed on the force-bearing surface of the seat. When the seat is subjected to external pressure, a trigger signal is generated.

[0112] like Figure 5 The solution for the full-scenario intelligent interconnection of people, cars and homes shown in the figure, from the perspective of cars, the car cockpit has the display capabilities of the large central control screen, instrument / HUD multi-screen, better audio input and output capabilities such as microphones / speakers, convenient reverse control input capabilities such as square control buttons and knobs, and high-precision vehicle data, etc. However, the upgrade and iteration cycle of the hardware computing power of the central control host in the car cockpit is relatively long, and the car's applications and services are not rich enough.

[0113] As for mobile devices, mobile phones have the latest computing hardware platform capabilities (chip-level HiAI capabilities), the latest software platforms, the latest high-speed mobile data network connection capabilities, and various applications and services that users are accustomed to. Handcar Connect connects mobile devices and cars, using the strong attributes of cars and mobile devices and the multi-device interconnection capabilities to create a smart travel experience for consumers.

[0114] "White Paper on Personal Privacy Protection in Software-Defined Cars": By combing through nearly 60 international and domestic privacy protection-related laws, regulations and industry standards, analyzing nearly 20 cross-industry privacy protection cases, and conducting extensive and in-depth discussions with policymakers, OEMs, parts suppliers, and independent network security service providers, the "White Paper on Personal Privacy Protection in Software-Defined Cars" was released. A large number of data points and massive data processing and transmission have greatly increased the risk of network security and data leakage, especially personal privacy data. In addition, the policy has accelerated its implementation in terms of defining the boundaries of rights and responsibilities, setting standards, and refining scenarios.

[0115] Through the system and method of the embodiment of the present invention, it can be seen that although the local privacy mode in the car has gradually become popular in the automotive industry, with the development of mobile phone-car interconnection, there is no specific solution to implement this scenario. The embodiment of the present invention overcomes the defect of the prior art that there is no specific implementation solution. The privacy mode of the embodiment of the present invention is usually turned on manually by the user, and the seat gravity sensor is used to automatically trigger the opening and closing of the privacy mode without any sense, reducing the psychological burden of the driver and other passengers.

[0116] The present invention supplements the privacy scenario when the main driver leaves the car. By judging whether there are passengers in different areas, different forms of privacy interaction are triggered. Other judgment conditions can be used to judge whether there are passengers in the front and rear rows of the car. For example, biometric technology can be used for judgment: fingerprint recognition, facial recognition, in-car infrared sensing controller, etc.

[0117] like Figure 6 As shown, the present invention not only provides a privacy communication method and system based on the interconnection of vehicle machine / mobile terminal device, but also provides a corresponding smart cockpit, electronic device and storage medium:

[0118] A smart cockpit is provided with the privacy communication system based on vehicle-machine / mobile terminal device interconnection, and executes the privacy communication method based on vehicle-machine / mobile terminal device interconnection.

[0119] An electronic device comprises: a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus; a computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the steps of the method.

[0120] A computer-readable storage medium stores a computer program executable by an electronic device. When the computer program runs on the electronic device, the electronic device executes the steps of the method.

[0121] Figure 6 Schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. As shown in FIG. X, the electronic device provided by an embodiment of the present invention includes: one or more processors 710 and a storage device 720; the processor 710 in the electronic device can be one or more, Figure 6 A processor 710 is taken as an example; the storage device 720 is used to store one or more programs; the one or more programs are executed by the one or more processors 710, so that the one or more processors 710 implement the privacy communication method based on vehicle-machine / mobile device interconnection as described in any one of the embodiments of the present invention.

[0122] The electronic device may further include: an input device 730 and an output device 740 .

[0123] The processor 710, storage device 720, input device 730 and output device 740 in the electronic device can be connected via a bus or other means. Figure 6 The example of connecting through bus is taken in the following.

[0124] The storage device 720 in the electronic device is a computer-readable storage medium that can be used to store one or more programs, which can be software programs, computer executable programs and modules, such as program instructions / modules corresponding to the privacy communication method based on vehicle-machine / mobile terminal device interconnection provided in the embodiment of the present invention. The processor 710 executes various functional applications and data processing of the electronic device by running the software programs, instructions and modules stored in the storage device 720, that is, realizing the privacy communication method based on vehicle-machine / mobile terminal device interconnection in the above method embodiment.

[0125] The storage device 720 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the electronic device, etc. In addition, the storage device 720 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some instances, the storage device 720 may further include a memory remotely arranged relative to the processor 710, and these remote memories may be connected to the device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0126] The input device 730 may be used to receive input digital or character information and generate key signal input related to user settings and function control of the electronic device. The output device 740 may include a display device such as a display screen.

[0127] Furthermore, when one or more programs included in the above-mentioned electronic device are executed by the one or more processors 710, the program operates based on the privacy communication method of vehicle-machine / mobile device interconnection.

[0128] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0129] In addition, those skilled in the art will appreciate that, although some embodiments described herein include certain features included in other embodiments but not other features, the combination of features of different embodiments is meant to be within the scope of the present invention and form different embodiments. For example, any one of the embodiments claimed in the claims can be used in any combination in the embodiments of the present invention.

[0130] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0131] In addition, the technical solutions between the various embodiments of the present invention can be combined with each other, but it must be based on the fact that ordinary technicians in the field can implement it. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0132] All features disclosed in this specification, or steps in all methods or processes disclosed, except mutually exclusive features and / or steps, can be combined in any way. Any feature disclosed in this specification, unless otherwise stated, can be replaced by other equivalent or alternative features with similar purposes. That is, unless otherwise stated, each feature is only an example of a series of equivalent or similar features. Throughout the specification, the same reference numerals indicate the same elements.

[0133] Those skilled in the art will appreciate that the modules in the devices in the embodiments can be adaptively changed and set in one or more devices different from the embodiments. The modules or units or components in the embodiments can be combined into one module or unit or component, and in addition they can be divided into multiple submodules or subunits or subcomponents. Except that at least some of such features and / or processes or units are mutually exclusive, all features disclosed in this specification (including corresponding claims, abstracts and drawings) and all processes or units of any method or device disclosed in this manner can be combined in any combination. Unless otherwise explicitly stated, each feature disclosed in this specification (including corresponding claims, abstracts and drawings) can be replaced by an alternative feature that provides the same, equivalent or similar purpose.

[0134] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A privacy communication method based on vehicle-machine / mobile terminal device interconnection, applied to a privacy communication system based on vehicle-machine / mobile terminal device interconnection, characterized in that: include: The pressure sensor of the car seat is used to monitor the pressure data of the car seat in real time, and transmit the pressure data to the vehicle computing platform; The vehicle computing platform receives the pressure data from the pressure sensor, analyzes the occupied state of the vehicle seat through a preset algorithm, and automatically executes a privacy mode startup program if it is detected that the vehicle seat is not occupied. The privacy mode startup program switches the mobile terminal device connected to the vehicle computer to a background operation state and locks the vehicle computer interface. The occupancy status of the car seats is continuously monitored, and a corresponding log file is generated through the vehicle computing platform. The log file is used to store the passenger's location, identity and vehicle computer usage.

2. The privacy communication method based on vehicle-machine / mobile device interconnection according to claim 1 is characterized in that: The method further comprises: monitoring the pressure data of the car seat in real time through the pressure sensor of the car seat and transmitting the pressure data to the vehicle-mounted computing platform; The pressure sensor is a thin-film contact sensor arranged in the seat cushion and backrest area of ​​the automobile seat, and the thin-film contact sensor forms a sensor array. The sensor array transmits the collected pressure data to the on-board computing platform, and the pressure data collected by the sensor array is classified and identified based on the support vector machine algorithm of machine learning, and the SVM algorithm classification result is generated to identify the specific position of the passenger; The vehicle-mounted computing platform applies the Kalman filter algorithm to smooth the classification result of the SVM algorithm to obtain real-time pressure data; Whether there is a passenger on the car seat is detected according to the real-time pressure data, and if it is determined that there is no passenger on the car seat, the privacy mode is automatically triggered.

3. The privacy communication method based on vehicle-machine / mobile-end device interconnection according to claim 2 is characterized in that: The support vector machine algorithm based on machine learning classifies and identifies the pressure data collected by the sensor array, and also includes: The on-board computing platform is based on adaptive learning capabilities and automatically adjusts the parameters of the support vector machine algorithm based on real-time and historical data; Using neural network or reinforcement learning prediction models, by continuously acquiring interaction data between mobile devices and vehicle computers, combined with passengers' historical usage patterns and personalized preferences, privacy settings can be intelligently adjusted; The on-board computing platform sends the intelligently adjusted privacy setting results to the mobile device through the Internet of Vehicles. The mobile device obtains the intelligently adjusted privacy settings for storage and data analysis.

4. The privacy communication method based on vehicle-machine / mobile device interconnection according to claim 1 is characterized in that: The vehicle-mounted computing platform receives the pressure data from the pressure sensor and analyzes the occupied state of the vehicle seat through a preset algorithm, further comprising: The vehicle computing platform receives pressure data from a film-type contact pressure sensor arranged in the seat cushion and backrest area of ​​the vehicle seat; Performing Kalman filtering on the pressure data to obtain smoothed data after Kalman filtering; The smoothed data is sent to the vehicle computer, and the interactive operation between the vehicle computing platform and the mobile terminal device is realized through the vehicle computer interactive interface, and the interactive operation includes the setting and adjustment of the privacy mode.

5. The privacy communication method based on vehicle-machine / mobile device interconnection according to claim 1 is characterized in that: The method of continuously monitoring the occupancy of the car seat and generating a corresponding log file through the vehicle computing platform, wherein the log file is used to store the location, identity and vehicle computer usage of the passenger, further includes: Perform Kalman filtering on the pressure data in the log file, extract features from the data processed by Kalman filtering, obtain feature data, and identify the passenger's seat position and pressure distribution pattern; Using the extracted feature data, the support vector machine classification algorithm is used to perform classification calculations to identify and verify the identity of the passenger; Based on the recognition results, the on-board computing platform generates a detailed log file to record the location, identity and vehicle computer usage of each passenger, forms a synchronization file, and synchronizes the synchronization in real time on the vehicle computer and mobile devices based on the Internet of Vehicles.

6. The privacy communication method based on vehicle-machine / mobile-end device interconnection according to claim 5 is characterized in that: Based on the recognition results, the vehicle computing platform generates a detailed log file to record the location, identity and vehicle computer usage of each passenger, specifically: Utilize the infrared sensor controller and biometric module in the vehicle to detect and identify passengers in other areas of the vehicle and obtain their precise location and identity information; The vehicle computing platform receives the output data of the infrared sensing controller and the biometric recognition module in the vehicle, and performs data analysis on the location and identity information of the passengers through a preset data processing algorithm; Based on data fusion technology, data from infrared sensors at different locations in the car are obtained, the data from infrared sensors at different locations in the car are analyzed and integrated, and corresponding log files are generated. The log files at least include timestamps, sensor readings, passenger identification, and vehicle computer operation records.

7. A private communication system based on vehicle-machine / mobile terminal device interconnection, used to implement the private communication method based on vehicle-machine / mobile terminal device interconnection as described in any one of claims 1 to 5, characterized in that: include: A pressure sensing data acquisition module monitors the pressure data of the car seat in real time through the pressure sensor of the car seat and transmits the pressure data to the vehicle computing platform; A car seat occupancy status detection module is used for the vehicle computing platform to receive the pressure data from the pressure sensor, analyze the occupied status of the car seat through a preset algorithm, and automatically execute a privacy mode startup program if it is detected that the car seat is not occupied. The privacy mode startup program transfers the mobile terminal device connected to the vehicle computer to the background running state and locks the vehicle computer interface; The vehicle seat occupancy continuous monitoring module is used to continuously monitor the occupancy of the vehicle seats and generate corresponding log files through the vehicle computing platform. The log files are used to store the passenger's location, identity and vehicle computer usage.

8. A smart cockpit, characterized in that: The smart cockpit is provided with a privacy communication system based on vehicle-machine / mobile terminal device interconnection as described in claim 7, and executes a privacy communication method based on vehicle-machine / mobile terminal device interconnection as described in any one of claims 1 to 6.

9. An electronic device, characterized in that: include: A processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus; a computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the steps of the method described in any one of claims 1 to 6.

10. A computer-readable storage medium, characterized in that: It stores a computer program executable by an electronic device, and when the computer program runs on the electronic device, the electronic device executes the steps of the method described in any one of claims 1 to 6.

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