A vehicle-mounted multi-device Bluetooth rapid pairing and dynamic switching system

Abstract

The application discloses a kind of vehicle-mounted multi-device bluetooth quick pairing and dynamic switching system, it is related to vehicle-mounted bluetooth technical field.The present application is based on the establishment of in-vehicle scene model based on vehicle-mounted basic data, and obtains the use bias value of each vehicle-mounted device under different user behaviors, obtains real-time scene in-vehicle data, generates user behavior trajectory based on real-time scene in-vehicle data, inputs user behavior trajectory into in-vehicle scene model and each user behavior is matched, and then the real-time use bias value of each vehicle-mounted device is obtained, the identity file and communication parameter configuration of vehicle-mounted device bluetooth and user bluetooth are carried out, and then according to the real-time use bias value of each vehicle-mounted device, and the identity file is carried out between each vehicle-mounted device bluetooth and user bluetooth Real-time pairing and dynamic switching.

Description

Technical Field

[0001] This invention relates to the field of in-vehicle Bluetooth technology, specifically to an in-vehicle multi-device Bluetooth fast pairing and dynamic switching system. Background Technology

[0002] As automotive intelligence continues to advance, the number of integrated electronic devices such as multimedia, navigation, and communication systems in vehicles is increasing, leading to more complex user interaction needs. Currently, the connection between in-vehicle devices and user mobile devices (such as smartphones) largely relies on traditional Bluetooth pairing technology. Existing technologies generally employ fixed pairing lists or simple priority settings, requiring users to perform cumbersome manual switching between different devices. This is especially problematic when switching between multiple users or various usage scenarios (such as driving, passenger entertainment, and rear-seat entertainment). This not only affects the continuity of the user's in-vehicle experience but can also cause distraction during driving, posing safety hazards. Furthermore, existing systems lack in-depth learning and proactive prediction capabilities regarding user behavior. They cannot intelligently and dynamically manage Bluetooth pairing relationships based on real-time occupant status (such as seating position and operating habits) and scene changes, resulting in rigid device-user connections and failing to meet the flexible, smooth, and seamless connectivity demands of modern in-vehicle environments.

[0003] While some high-end models have introduced simplified scene modes based on user presets, these are mostly limited to adjusting basic functions such as air conditioning and seats, and do not delve into the field of dynamic Bluetooth pairing and switching of multiple devices based on real-time user behavior. The system often cannot accurately identify who the primary user is, nor can it predict the in-vehicle device they are most likely to use next. This results in the correct audio and control signals not being automatically and seamlessly transferred to the most appropriate in-vehicle device. Therefore, a fast Bluetooth pairing and dynamic switching system for multiple in-vehicle devices is needed. Summary of the Invention

[0004] The purpose of this invention is to provide an in-vehicle multi-device Bluetooth fast pairing and dynamic switching system to address the shortcomings in the prior art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: A vehicle-mounted multi-device Bluetooth fast pairing and dynamic switching system includes a personalized scene analysis module, a vehicle-mounted scene monitoring module, and a Bluetooth pairing management module; The personalized scene analysis module is used to acquire basic vehicle data, build an in-vehicle scene model based on the basic vehicle data, and acquire usage bias values ​​of various in-vehicle devices under different user behaviors. The vehicle scene monitoring module is used to acquire real-time scene in-vehicle data, generate user behavior trajectories based on real-time scene in-vehicle data, input user behavior trajectories into the in-vehicle scene model and match them with each user behavior, thereby obtaining the real-time usage bias value of each in-vehicle device. The Bluetooth pairing management module is used to configure the identity profiles and communication parameters of the vehicle device Bluetooth and the user Bluetooth, and then perform real-time pairing and dynamic switching between the vehicle device Bluetooth and the user Bluetooth according to the real-time usage bias value of each vehicle device and the identity profile.

[0006] Furthermore, the in-vehicle basic data includes in-vehicle scene data, historical in-vehicle device usage records, and historical Bluetooth pairing records.

[0007] Furthermore, the process of establishing an in-vehicle scenario model based on in-vehicle basic data, and determining the usage bias values ​​of various in-vehicle devices under different user behaviors, includes: A 3D in-vehicle scene model is built based on in-vehicle scene data. A 1:1 scale 3D coordinate system is constructed based on the actual spatial structure of the vehicle. Fixed structures are used as static elements of the model, and the positions of people in the vehicle and the working status of equipment are used as dynamic elements of the model. At the same time, state variables and update rules are set for dynamic elements. Features are extracted from historical in-vehicle equipment usage records and historical Bluetooth pairing records, and grouped according to user identity, time period, and driving scenario. Extract user behavior features and device usage association rules from each set of data. Based on the analysis results of historical in-vehicle device usage records and historical Bluetooth pairing records, set scoring dimensions, including usage frequency weight, usage duration weight, active operation weight, and scenario adaptation weight. Statistically count the usage frequency, usage duration, and number of active operations of each in-vehicle device in historical in-vehicle device usage records and historical Bluetooth pairing records, and then obtain the usage bias value of each in-vehicle device based on the scoring dimensions.

[0008] Furthermore, the process of generating user behavior trajectories based on real-time in-vehicle data includes: By collecting dynamic data in real time through the vehicle-mounted sensor cluster and the vehicle system, real-time in-vehicle scene data is formed. User behavior trajectories are generated from the real-time in-vehicle scene data. The user behavior trajectory consists of a series of continuous behavioral feature points in chronological order. The behavioral feature points include behavior type, trigger time, duration, and associated device. Various user behaviors are identified by feature matching and logical judgment of the real-time in-vehicle scene data.

[0009] Furthermore, the process of configuring identity profiles and communication parameters for in-vehicle Bluetooth devices and user Bluetooth includes: The Bluetooth pairing management module configures identity profiles and communication parameters for all vehicle-mounted Bluetooth devices and user Bluetooth devices, assigns a unique device identifier and communication channel to each vehicle-mounted Bluetooth device, and establishes an identity profile for user Bluetooth devices, associating information such as user identity identifier, commonly used device identifier, and pairing permission level. Based on the real-time usage bias value output by the vehicle scenario monitoring module, a Bluetooth pairing priority ranking rule is established, and the Bluetooth pairing process is executed according to the priority ranking result and the user's Bluetooth device permission level.

[0010] Furthermore, the execution process of the Bluetooth pairing procedure includes: When a user's Bluetooth device enters the vehicle's Bluetooth signal coverage area, the Bluetooth pairing management module automatically detects the Bluetooth signal, retrieves the user's Bluetooth device's identity profile and real-time usage bias value. If it is the first pairing, a pairing request prompt is sent to the vehicle's infotainment system. After the user confirms via the vehicle's screen or voice command, the pairing of first- and second-priority devices is completed in order of priority, while third- and fourth-priority devices remain in a waiting-to-pair state. If it is a previously paired device and there are no other Bluetooth devices currently connected, the pairing is automatically completed quickly according to the real-time priority without requiring the user to confirm again. If another user's Bluetooth device is already connected, the system will determine the new user's permissions based on their real-time usage bias. If the new user has administrator privileges and their real-time usage bias is higher than that of the currently connected user, a dynamic switching control mechanism will be triggered. Otherwise, the current connection will be maintained, and a pairing waiting prompt will be sent to the new user.

[0011] Furthermore, the dynamic switching control mechanism includes active switching and passive switching: The proactive switching is based on changes in user behavior and updates to real-time usage bias values. When the vehicle scene monitoring module detects changes in user behavior trajectory that cause changes in real-time usage bias values, it automatically triggers the switching process, disconnects low-priority device connections, and establishes high-priority device connections. Passive switching is based on user-initiated operation commands or changes in device status. Switching is completed first according to user commands. If a vehicle device malfunctions or loses power, the Bluetooth connection of the corresponding vehicle device is automatically switched to a device with the same function.

[0012] Furthermore, a Bluetooth connection status monitoring and anomaly handling mechanism is established. The Bluetooth connection quality is monitored in real time through the connection maintenance signal. If an anomaly is detected, the system automatically switches to a backup communication channel. If the connection cannot be restored after switching, a connection anomaly prompt is sent to the user, and a re-pairing attempt is made. When the vehicle scene monitoring module detects that a user gets out of the car, it automatically triggers a disconnect signal to cut off the user's Bluetooth connection with all vehicle devices to avoid invalid connections occupying system resources. If the user gets out of the car briefly and the vehicle is idling, the Bluetooth connection is maintained for 3 minutes. If the user does not return within the time limit, the connection will be automatically disconnected.

[0013] The technical effects and advantages provided by the present invention in the above technical solution are as follows: This invention addresses the shortcomings of traditional systems in adapting to user habits by deeply analyzing user behavior and device usage preferences through a personalized scenario analysis module. It achieves real-time scenario perception and behavior recognition through an in-vehicle scenario monitoring module, ensuring that Bluetooth pairing and switching accurately match current usage needs. Furthermore, the Bluetooth pairing management module utilizes identity profiles and priority sorting rules to enable rapid pairing and intelligent dynamic switching, mitigating the pain points of cumbersome multi-device switching and delayed response. It also supports flexible adaptation to multiple users, scenarios, and devices, automatically adjusting Bluetooth connection status based on user behavior and scenario changes, significantly improving the convenience and intelligence of in-vehicle Bluetooth usage. Attached Figure Description

[0014] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0015] Figure 1 This is a system block diagram of a vehicle-mounted multi-device Bluetooth fast pairing and dynamic switching system according to the present invention.

[0016] Figure 2 This is a flowchart of a vehicle-mounted multi-device Bluetooth fast pairing and dynamic switching system according to the present invention. Detailed Implementation

[0017] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] Please see Figure 1 and Figure 2 As shown, an in-vehicle multi-device Bluetooth fast pairing and dynamic switching system includes a personalized scene analysis module, an in-vehicle scene monitoring module, and a Bluetooth pairing management module. The personalized scene analysis module is used to acquire basic vehicle data, build an in-vehicle scene model based on the basic vehicle data, and acquire usage bias values ​​of various in-vehicle devices under different user behaviors. The vehicle scene monitoring module is used to acquire real-time scene in-vehicle data, generate user behavior trajectories based on real-time scene in-vehicle data, input user behavior trajectories into the in-vehicle scene model and match them with each user behavior, thereby obtaining the real-time usage bias value of each in-vehicle device. The Bluetooth pairing management module is used to configure the identity profiles and communication parameters of the vehicle device Bluetooth and the user Bluetooth, and then perform real-time pairing and dynamic switching between the vehicle device Bluetooth and the user Bluetooth according to the real-time usage bias value of each vehicle device and the identity profile.

[0019] The working principle of the present invention is illustrated below through examples: The personalized scene analysis module obtains basic vehicle data through multiple channels such as vehicle sensor clusters, vehicle system logs, and Bluetooth connection logs. The basic vehicle data includes in-vehicle scene data, historical vehicle device usage records, and historical Bluetooth pairing records. The vehicle-mounted sensor cluster includes in-vehicle cameras, infrared sensors, seat pressure sensors, door status sensors, vehicle radar, etc. The in-vehicle scene data covers the number of people in the vehicle, the distribution of people's positions, the door opening and closing status, the seat adjustment status, the vehicle system operation records, the vehicle driving status (driving / stopping / idling), etc., and is used to collect in-vehicle scene data. Historical vehicle device usage records include the startup time, usage duration, shutdown time, and operation command type of each vehicle device (such as car audio, car navigation, car entertainment screen, rear-seat audio-visual equipment, car charger, etc.), which are used to collect historical vehicle device usage records; Historical Bluetooth pairing records include the paired user's Bluetooth device identifier, pairing time, paired vehicle device, pairing duration, disconnection reason, and switching record. All vehicle basic data are uniformly labeled with timestamps for collecting historical Bluetooth pairing records. A 3D in-vehicle scene model is built based on in-vehicle scene data. The model is based on the actual spatial structure of the vehicle and a 1:1 scale 3D coordinate system is constructed. Fixed structures such as in-vehicle seats, center console, doors, and the installation positions of in-vehicle equipment are used as static elements of the model, while the positions of in-vehicle personnel and the working status of equipment are used as dynamic elements of the model. At the same time, state variables and update rules are set for dynamic elements. For example, the working status variables of the in-vehicle audio system include "on / off", "volume level" and "playback mode", and the personnel position variables include driver's seat, passenger seat, left rear seat, right rear seat, etc., to achieve digital and visual modeling of the in-vehicle scene. Feature extraction is performed on historical in-vehicle device usage records and historical Bluetooth pairing records. Invalid data (such as accidentally triggered device startup records and abnormally disconnected pairing records) are removed. Valid data is classified and statistically analyzed, and grouped according to user identity (distinguished by seat position, Bluetooth device identifier, vehicle login account, etc.), time period (weekday / weekend, morning peak / evening peak, daytime / nighttime), and driving scenario (urban roads / highways / parking lots, commuting / long-distance travel / temporary parking). Extract user behavior features and device usage association rules from each set of data. User behavior features include device startup order, usage time percentage, operation frequency, and switching frequency. Device usage association rules include "user starts audio equipment within 10 seconds after starting navigation device" and "rear seat device usage time increases by 30% during long-distance driving". Based on the analysis results of historical vehicle device usage records and historical Bluetooth pairing records, scoring dimensions are set, including usage frequency weight, usage duration weight, active operation weight, and scenario adaptation weight. Among them, the usage frequency weight accounts for 30%, the usage duration weight accounts for 30%, the active operation weight accounts for 20%, and the scenario adaptation weight accounts for 20%. The usage frequency, usage duration, and number of active operations of each vehicle device in the historical vehicle device usage records and historical Bluetooth pairing records are counted, and then the usage bias value of each vehicle device is obtained based on the scoring dimensions. For example, if a user activates the in-car navigation and audio systems 80% of their commute, with navigation accounting for 90% of their average commute time and audio systems for 85%, and the user frequently adjusts these systems, then the user's usage bias score for navigation would be 92, audio systems 88, and rear-seat entertainment systems 15. Simultaneously, a dynamic update mechanism for usage bias is established, updating historical data weekly and recalculating usage bias values ​​to ensure that these values ​​accurately reflect recent changes in user habits. The usage bias values ​​of each in-vehicle device are mapped onto the in-vehicle scene model in the form of data textures. In each 3D model of the in-vehicle scene model, a corresponding usage bias value matrix is ​​associated with each in-vehicle device. The matrix dimensions include user identity, user behavior type, time period, and driving scenario. For example, when the driver is "commuting," the audio equipment usage bias values ​​at different times are labeled in the model. At the same time, the corresponding association rules between user behavior and equipment usage bias are labeled, and the equipment usage priority corresponding to various user behaviors is clearly defined. For example, "user getting out of the car" corresponds to "all in-vehicle equipment usage bias values ​​are reset to zero", "user adjusting the seat to a resting position" corresponds to "rear audio-visual equipment usage bias value increased by 50%", and "user operating the navigation to input the destination" corresponds to "navigation equipment usage bias value increased to the highest priority".

[0020] Furthermore, the vehicle scene monitoring module collects dynamic data in real time through the vehicle sensor cluster and the vehicle system to form real-time in-vehicle scene data. The collection frequency is set to 10Hz to ensure the real-time performance of the data. Real-time in-vehicle data includes real-time personnel location updates, seat status changes, door opening and closing signals, vehicle system operation commands, Bluetooth device signal strength, user body movements (identified by in-vehicle cameras and infrared sensors), vehicle driving parameters (vehicle speed, gear, turn signal status), etc. All real-time data is accompanied by accurate timestamps and data source identifiers, and is transmitted in real time to the in-vehicle scene monitoring module via the vehicle communication bus. User behavior trajectories are generated from real-time in-vehicle data. These trajectories consist of a series of continuous behavioral feature points arranged in chronological order. The behavioral feature points include behavior type (e.g., closing a door, getting up, adjusting a sitting posture), trigger time, duration, and associated devices. By matching the features of real-time in-vehicle data with logical judgments, various user behaviors are identified. For example, if the door status sensor detects that the driver's side door is open, combined with the seat pressure sensor detecting that the pressure in the driver's side has disappeared, and the infrared sensor does not detect the presence of any person, it is determined as "driver's side user getting out of the vehicle"; if the vehicle system detects that the user has entered a navigation destination, combined with the navigation device's activation signal, it is determined as "navigation usage"; if the rear seat pressure sensor detects a pressure signal, and the Bluetooth signal strength near the rear audio-visual equipment increases, it is determined as "rear seat user using audio-visual equipment"; all identified user behaviors are arranged in chronological order to form a user behavior trajectory. User behavior trajectories are input into the in-vehicle scene model constructed by the personalized scene analysis module, while real-time usage bias values ​​of various in-vehicle devices are obtained. For example, if the user behavior trajectory is "driver gets in the car - adjusts the seat - starts the vehicle - enters the navigation destination - plays music", and the current driving scenario is "urban road commuting", then the corresponding usage bias value is matched from the model. The real-time usage bias value of the navigation device is 95 points, the audio device is 90 points, and other devices are below 20 points. If new behavioral characteristics appear in the real-time scene (such as rear-seat users connecting to Bluetooth devices), the real-time usage bias value is dynamically corrected.

[0021] Furthermore, the Bluetooth pairing management module configures identity profiles and communication parameters for all vehicle-mounted Bluetooth devices and user Bluetooth devices, assigns a unique device identifier and communication channel to each vehicle-mounted Bluetooth device, and establishes an identity profile for user Bluetooth devices, associating user identity identifiers, frequently used device identifiers, pairing permission levels, and other information. The pairing permission levels are divided into "administrator permission," "frequent permission," and "temporary permission." Administrator permission allows connection to all vehicle-mounted devices, frequent permission allows connection to frequently used vehicle-mounted devices, and temporary permission allows connection to only specified vehicle-mounted devices, which is used to adapt to different usage scenarios such as family users, sharing with friends, and temporary travel. A multi-pairing signal mechanism is set up, which includes pairing request signal, pairing response signal, connection hold signal, handover trigger signal, and disconnection signal. The pairing request signal contains information such as the user's Bluetooth device identifier, permission level, and list of devices to be paired. The pairing response signal contains information such as the vehicle device's Bluetooth identifier, connection status, and communication parameters. The connection hold signal is sent at a frequency of 1 second / time to monitor the Bluetooth connection status. The handover trigger signal contains information such as the target pairing device identifier, handover priority, and handover timing. The disconnection signal contains information such as the disconnection reason and subsequent connection suggestions. Through the coordination of multiple signals, precise control of Bluetooth pairing and handover is achieved. Based on the real-time usage bias value output by the vehicle scene monitoring module, a Bluetooth pairing priority ranking rule is established. Vehicle devices are ranked from high to low according to the real-time usage bias value, and the priority is divided into four levels: Level 1 (usage bias value ≥ 80 points), Level 2 (60 points ≤ usage bias value < 80 points), Level 3 (40 points ≤ usage bias value < 60 points), and Level 4 (usage bias value < 40 points). Level 1 is mandatory pairing, corresponding to core usage needs, such as navigation devices and driver's seat audio; Level 2 is priority pairing, corresponding to high-frequency usage needs, such as passenger's entertainment screen; Level 3 is optional pairing, corresponding to occasional usage needs, such as rear-seat charging devices; Level 4 is deferred pairing, corresponding to rarely used or unnecessary in-vehicle devices. Based on the priority ranking and the user's Bluetooth device permission level, the Bluetooth pairing process is executed as follows: When the user's Bluetooth device enters the vehicle's Bluetooth signal coverage area (default coverage radius of 10 meters, customizable), the Bluetooth pairing management module automatically detects the Bluetooth signal, retrieves the user's Bluetooth device's identity profile and real-time usage bias value. If it is the first pairing, a pairing request prompt is sent to the vehicle's infotainment system. After the user confirms via the vehicle's infotainment screen or voice command, pairing of level 1 and level 2 priority devices is completed sequentially according to priority, while level 3 and level 4 priority devices remain in a waiting-to-pair state. If it is a previously paired device and there are no other Bluetooth devices currently connected, quick pairing is automatically completed according to the real-time priority, without requiring user confirmation. If another user's Bluetooth device is already connected, the system will determine the new user's permissions and real-time usage bias. If the new user has administrator privileges and the real-time usage bias is higher than that of the currently connected user, the dynamic switching control mechanism will be triggered. Otherwise, the current connection will be maintained, and a pairing waiting prompt will be sent to the new user. The dynamic switching control mechanism includes active switching and passive switching: Active switching is based on changes in user behavior and updates to real-time usage bias values. When the vehicle scene monitoring module detects changes in user behavior trajectory (such as the driver switching to the passenger seat, the rear-seat user starting the audio-visual equipment, or the user operating the navigation equipment), resulting in a significant change in the real-time usage bias value (change range ≥ 30 points), the switching process is automatically triggered, disconnecting the low-priority device connection and establishing the high-priority device connection. For example, when a user switches from "commuting" to "long-distance rest", the real-time usage bias value of the rear audio-visual equipment increases from 30 points to 85 points. The system automatically disconnects the Bluetooth connection with the car navigation and switches the user's Bluetooth to the rear audio-visual equipment. Passive switching is based on user-initiated operation commands or changes in device status. Users can initiate switching requests through the vehicle screen, voice commands, steering wheel buttons, etc. The switching is completed first according to the user's command. If a vehicle device malfunctions or loses power, the Bluetooth connection of the corresponding vehicle device is automatically switched to a device with the same function (e.g., if the driver's seat audio fails, it is switched to the passenger's auxiliary audio) to ensure the continuity of the user experience. At the same time, a Bluetooth connection status monitoring and anomaly handling mechanism is established. The Bluetooth connection quality is monitored in real time by maintaining the connection signal. If anomalies such as signal strength below the threshold, transmission delay exceeding 500ms, or data packet loss rate exceeding 5% are detected, the system will automatically switch to the backup communication channel. If the system still cannot restore normal operation after switching, a connection anomaly prompt will be sent to the user, and a re-pairing attempt will be made. When the vehicle scene monitoring module detects a user getting out of the car (door opening + seat pressure disappearance + sensor signal indicating the person leaving), it automatically triggers a disconnect signal to cut off the user's Bluetooth connection to all vehicle devices, thus avoiding invalid connections from consuming system resources. If the user gets out of the car briefly (such as for temporary shopping) and the vehicle is idling, the Bluetooth connection is maintained for 3 minutes. If the user does not return within the time limit, the connection is automatically disconnected.

[0022] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A vehicle-mounted multi-device Bluetooth fast pairing and dynamic switching system, characterized in that, It includes a personalized scene analysis module, an in-vehicle scene monitoring module, and a Bluetooth pairing management module; The personalized scene analysis module is used to acquire basic vehicle data, build an in-vehicle scene model based on the basic vehicle data, and acquire usage bias values ​​of various in-vehicle devices under different user behaviors. The vehicle scene monitoring module is used to acquire real-time scene in-vehicle data, generate user behavior trajectories based on real-time scene in-vehicle data, input user behavior trajectories into the in-vehicle scene model and match them with each user behavior, thereby obtaining the real-time usage bias value of each in-vehicle device. The Bluetooth pairing management module is used to configure the identity profiles and communication parameters of the vehicle device Bluetooth and the user Bluetooth, and then perform real-time pairing and dynamic switching between the vehicle device Bluetooth and the user Bluetooth according to the real-time usage bias value of each vehicle device and the identity profile.

2. The in-vehicle multi-device Bluetooth fast pairing and dynamic switching system according to claim 1, characterized in that, The in-vehicle basic data includes in-vehicle scene data, historical in-vehicle device usage records, and historical Bluetooth pairing records.

3. The in-vehicle multi-device Bluetooth fast pairing and dynamic switching system according to claim 2, characterized in that, The process of building an in-vehicle scene model based on in-vehicle basic data, and determining the usage bias values ​​of various in-vehicle devices under different user behaviors, includes: A 3D in-vehicle scene model is built based on in-vehicle scene data. A 1:1 scale 3D coordinate system is constructed based on the actual spatial structure of the vehicle. Fixed structures are used as static elements of the model, and the positions of people in the vehicle and the working status of equipment are used as dynamic elements of the model. At the same time, state variables and update rules are set for dynamic elements. Features are extracted from historical in-vehicle equipment usage records and historical Bluetooth pairing records, and grouped according to user identity, time period, and driving scenario. Extract user behavior features and device usage association rules from each set of data. Based on the analysis results of historical in-vehicle device usage records and historical Bluetooth pairing records, set scoring dimensions, including usage frequency weight, usage duration weight, active operation weight, and scenario adaptation weight. Statistically count the usage frequency, usage duration, and number of active operations of each in-vehicle device in historical in-vehicle device usage records and historical Bluetooth pairing records, and then obtain the usage bias value of each in-vehicle device based on the scoring dimensions.

4. The in-vehicle multi-device Bluetooth fast pairing and dynamic switching system according to claim 3, characterized in that, The process of generating user behavior trajectories based on real-time in-vehicle data includes: By collecting dynamic data in real time through the vehicle-mounted sensor cluster and the vehicle system, real-time in-vehicle scene data is formed. User behavior trajectories are generated from the real-time in-vehicle scene data. The user behavior trajectory consists of a series of continuous behavioral feature points in chronological order. The behavioral feature points include behavior type, trigger time, duration, and associated device. Various user behaviors are identified by feature matching and logical judgment of the real-time in-vehicle scene data.

5. A vehicle-mounted multi-device Bluetooth fast pairing and dynamic switching system according to claim 4, characterized in that, The process of configuring identity profiles and communication parameters for in-vehicle Bluetooth devices and user Bluetooth includes: The Bluetooth pairing management module configures the identity profiles and communication parameters of all vehicle-mounted Bluetooth devices and user Bluetooth devices, assigns a unique device identifier and communication channel to each vehicle-mounted Bluetooth device, and establishes an identity profile for user Bluetooth devices. Based on the real-time usage bias value output by the vehicle scenario monitoring module, a Bluetooth pairing priority ranking rule is established. According to the priority ranking result and the user's Bluetooth device permission level, the Bluetooth pairing process is executed, where the priority is level 1, level 2, level 3 and level 4.

6. A vehicle-mounted multi-device Bluetooth fast pairing and dynamic switching system according to claim 5, characterized in that, The execution process of the Bluetooth pairing procedure includes: When a user's Bluetooth device enters the vehicle's Bluetooth signal coverage area, the Bluetooth pairing management module automatically detects the Bluetooth signal, retrieves the user's Bluetooth device's identity profile and real-time usage bias value. If it is the first pairing, a pairing request prompt is sent to the vehicle's infotainment system. After the user confirms via the vehicle's screen or voice command, the pairing of first- and second-priority devices is completed in order of priority, while third- and fourth-priority devices remain in a waiting-to-pair state. If it is a previously paired device and there are no other Bluetooth devices currently connected, the pairing is automatically completed quickly according to the real-time priority without requiring the user to confirm again. If another user's Bluetooth device is already connected, the system will determine the new user's permissions based on their real-time usage bias. If the new user has administrator privileges and their real-time usage bias is higher than that of the currently connected user, a dynamic switching control mechanism will be triggered. Otherwise, the current connection will be maintained, and a pairing waiting prompt will be sent to the new user.

7. A vehicle-mounted multi-device Bluetooth fast pairing and dynamic switching system according to claim 6, characterized in that, The dynamic switching control mechanism includes active switching and passive switching: The proactive switching is based on changes in user behavior and updates to real-time usage bias values. When the vehicle scene monitoring module detects changes in user behavior trajectory that cause changes in real-time usage bias values, it automatically triggers the switching process, disconnects low-priority device connections, and establishes high-priority device connections. Passive switching is based on user-initiated operation commands or changes in device status. Switching is completed first according to user commands. If a vehicle device malfunctions or loses power, the Bluetooth connection of the corresponding vehicle device is automatically switched to a device with the same function.

8. A vehicle-mounted multi-device Bluetooth fast pairing and dynamic switching system according to claim 7, characterized in that, When the vehicle scene monitoring module detects that a user gets out of the car, it automatically triggers a disconnect signal to cut off the user's Bluetooth connection with all vehicle devices to avoid invalid connections occupying system resources. If the user gets out of the car briefly and the vehicle is idling, the Bluetooth connection is maintained for 3 minutes. If the user does not return within the time limit, the connection will be automatically disconnected.

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