Automobile Bluetooth control method and system based on keyless entry mode

Abstract

The invention relates to the technical field of automobile Bluetooth control, in particular to an automobile Bluetooth control method and system based on a keyless entry mode. According to the method, the dynamic behavior time sequence of each Bluetooth device in the vehicle-mounted Bluetooth sensing area of the automobile is compared and analyzed, the candidate Bluetooth device with the control intention is screened out, and the recognition accuracy is improved; the real-time signal intensity, historical user operation behavior data and equipment trust level of the candidate Bluetooth equipment are comprehensively considered, and the control priority of each candidate Bluetooth equipment is fused and analyzed, so that flexible and accurate authority management is realized; selecting the candidate Bluetooth device with the highest control priority as an authorized Bluetooth device to establish a communication link and distribute the automobile Bluetooth control authority to ensure the reasonable distribution of the control authority; when the automobile runs, the real-time position of the authorized Bluetooth device is obtained, the Bluetooth device control authority corresponding to the automobile Bluetooth is dynamically adjusted by combining the corresponding electronic fence boundary of the automobile, and potential safety hazards are effectively reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of automotive Bluetooth control, and relates to an automotive Bluetooth control method and system based on a keyless entry mode. Background Art

[0002] With the development of intelligent vehicle technology, keyless entry systems have become an important configuration in modern vehicles. They achieve non-contact interaction between users and vehicles through wireless communication technologies such as Bluetooth, significantly improving the convenience of using vehicles. However, existing automotive Bluetooth control solutions still have technical bottlenecks in aspects such as multi-device recognition, dynamic permission management, and security. Especially when multiple Bluetooth devices coexist, it is difficult to accurately identify the user's control intention, resulting in an increased risk of misoperation or unreasonable permission allocation, affecting the user experience and vehicle safety.

[0003] Some existing patent documents have also focused on automotive keyless entry technology. For example, a vehicle lock control system and method based on Bluetooth technology disclosed in Chinese Patent Publication No. CN110246247A broadcasts its own identification coding information periodically through the Bluetooth module in the vehicle lock control system. When the user terminal receives the broadcast information, the user terminal makes a verification response to the vehicle lock control system through Bluetooth. When the user terminal passes the verification, the data processing module calculates the distance between the current user terminal and the vehicle through a distance model algorithm based on the received signal strength indication and makes a judgment. If the current distance is less than a preset threshold, the control module sends an unlocking signal to the vehicle's lock control device to achieve the unlocking operation.

[0004] For example, a vehicle door lock control method, device and equipment disclosed in Chinese Patent Publication No. CN117037338A, when the Bluetooth signal strength between the vehicle and the terminal device changes, inputs the vehicle information into an intention prediction model; and executes the opening or closing of the vehicle door according to the result output by the intention prediction model. In the embodiments of the present invention, by introducing an intention prediction model, the collected vehicle information is predicted to determine whether to automatically unlock or lock the vehicle door for the driver, so that the vehicle's perception of the terminal device no longer only depends on the Bluetooth signal strength for linear adjustment, realizing seamless entry and exit while avoiding frequent unlocking and locking of the vehicle.

[0005] Based on the above comparative documents, the prior art has the following problems: (1) In an environment with interference from multiple Bluetooth devices, the prior art relies only on signal strength or a simple intention prediction model, making it difficult to accurately screen out the device with a control intention, easily resulting in misoperation or an inability to respond promptly to the user's correct instructions, affecting the user experience.

[0006] (2) The prior art determines the priority only based on the real-time signal strength or historical operation frequency, without fusing historical user operation behavior data and device trust level. As a result, the priority ranking cannot truly reflect the device credibility and user usage habits, and it may occur that a device with low credibility preempts the control authority, affecting the system stability.

[0007] (3) The prior art does not fully consider the impact of the change in the position of the Bluetooth device during the operation of the vehicle on the control authority. When the user takes the device out of the safe area of the vehicle, the vehicle cannot technically disconnect the communication link or reallocate the authority in a timely manner, resulting in the loss of control of the vehicle control authority or potential safety hazards. Summary of the Invention

[0008] The present invention aims to solve the above problems in the prior art, and provides a vehicle Bluetooth control method and system based on the keyless entry mode, which can accurately identify Bluetooth devices with control intentions, and improve the safety and convenience of vehicle Bluetooth control through multi-dimensional priority evaluation and dynamic adjustment of control authority.

[0009] The technical solution adopted by the present invention to solve its technical problems is: a vehicle Bluetooth control method based on the keyless entry mode, including: S1. Real-time scanning of the Bluetooth device signals in the sensing area through the vehicle-mounted Bluetooth of the vehicle, collecting the signal strength change data and the moving trajectory time series data of each Bluetooth device, and generating the dynamic behavior time series sequence of each Bluetooth device.

[0010] S2. Comparing and analyzing the dynamic behavior time series sequences of each Bluetooth device to obtain the signal strength change rate and the moving trajectory change situation, and screening out the candidate Bluetooth devices with control intentions.

[0011] S3. According to the real-time signal strength, historical user operation behavior data and device trust level of each candidate Bluetooth device, analyzing the control priority of each candidate Bluetooth device through preset weights.

[0012] S4. Selecting the candidate Bluetooth device with the highest control priority as the authorized Bluetooth device, establishing a communication link through the Bluetooth Low Energy protocol, and allocating the vehicle Bluetooth control authority.

[0013] S5. Obtaining the real-time position of the authorized Bluetooth device during the operation of the vehicle, and dynamically adjusting the control authority of the vehicle Bluetooth corresponding to the Bluetooth device in combination with the boundary of the corresponding electronic fence of the vehicle.

[0014] A vehicle Bluetooth control system based on the keyless entry mode includes a dynamic Bluetooth device identification module, a candidate Bluetooth device screening module, a control priority analysis module, a vehicle communication link establishment module, a control authority dynamic adjustment module and a vehicle database.

[0015] The dynamic Bluetooth device identification module is used to real-time scan the Bluetooth device signals within the sensing area through the in-vehicle Bluetooth of the vehicle, collect the signal strength change data and the moving trajectory time series data of each Bluetooth device, and generate the dynamic behavior time series sequence of each Bluetooth device.

[0016] The candidate Bluetooth device screening module is used to compare and analyze the dynamic behavior time series sequences of each Bluetooth device to obtain the signal strength change rate and the moving trajectory change situation, and screen the candidate Bluetooth devices with control intentions.

[0017] The control priority analysis module is used to analyze the control priorities of each candidate Bluetooth device through preset weight fusion according to the real-time signal strength, historical user operation behavior data and device trust level of each candidate Bluetooth device.

[0018] The vehicle communication link establishment module is used to select the candidate Bluetooth device with the highest control priority as the authorized Bluetooth device, establish a communication link through the Bluetooth Low Energy protocol, and allocate the vehicle Bluetooth control permission.

[0019] The control permission dynamic adjustment module is used to obtain the real-time position of the authorized Bluetooth device during the operation of the vehicle, and dynamically adjust the Bluetooth device control permission corresponding to the vehicle Bluetooth in combination with the boundary of the corresponding electronic fence of the vehicle.

[0020] The vehicle database is used to store the list of authorized Bluetooth devices and the historical user operation behavior data and historical device trust data of each authorized Bluetooth device.

[0021] Compared with the prior art, the present invention has the following beneficial effects: (1) By collecting the signal strength change and the moving trajectory time series data of each Bluetooth device to generate a dynamic behavior time series sequence, and comparing and analyzing to screen the candidate Bluetooth devices with control intentions, the present invention can accurately judge the Bluetooth device that the user actually uses to control the vehicle, ensuring the accuracy and reliability of vehicle control and reducing the probability of misoperation.

[0022] (2) By using the real-time signal strength, historical user operation behavior data and device trust level, and analyzing the control priorities of each candidate Bluetooth device through preset weight fusion, the present invention ensures that the Bluetooth device with a high control priority can obtain the control permission first, shortening the user waiting time, improving the vehicle Bluetooth control response speed, and at the same time reducing the probability of other devices preempting the permission.

[0023] (3) By obtaining the real-time position of the authorized Bluetooth device during the operation of the vehicle, and dynamically adjusting the Bluetooth device control permission corresponding to the vehicle Bluetooth in combination with the boundary of the corresponding electronic fence of the vehicle, the present invention prevents the abuse of permission after the Bluetooth device exceeds the controllable range, ensuring the reasonable allocation of the Bluetooth control permission during the operation of the vehicle and guaranteeing the safe operation of the vehicle. Description of the Drawings

[0024] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0025] Figure 1 It is a schematic diagram of the method step flow of the present invention.

[0026] Figure 2 It is a schematic diagram of the specific content step flow of S1 in the present invention.

[0027] Figure 3 It is a schematic diagram of the specific content step flow of S3 in the present invention.

[0028] Figure 4 It is a schematic diagram of the system module connection of the present invention. Specific Embodiments

[0029] Now, various exemplary embodiments of the present invention will be described in detail with reference to the drawings. It should be noted that: unless otherwise specifically stated, the relative arrangements, numerical expressions, and numerical values of the components and steps set forth in these embodiments do not limit the scope of the present invention. At the same time, it should be understood that, for the sake of convenience of description, the dimensions of the various parts shown in the drawings are not drawn according to the actual proportional relationship.

[0030] The following description of at least one exemplary embodiment is merely illustrative in nature and in no way serves as a limitation on the present invention or its application or use. Technologies, methods, and devices known to those of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, such technologies, methods, and devices should be regarded as part of the specification.

[0031] In all the examples shown and discussed here, any specific value should be construed as merely exemplary and not as a limitation. Therefore, other examples of the exemplary embodiments may have different values.

[0032] Please refer to Figure 1 As shown, the present invention provides a method for controlling an automotive Bluetooth based on a keyless entry mode, including: S1, real-time scanning of Bluetooth device signals in the sensing area through the in-vehicle Bluetooth of the vehicle, collecting the signal strength change data and the moving trajectory time series data of each Bluetooth device, and generating a dynamic behavior time series sequence of each Bluetooth device.

[0033] As Figure 2As shown in the figure, the specific steps of step S1 are as follows: S11. The in-vehicle Bluetooth of the vehicle performs an omnidirectional scan on the sensing area in real time at a fixed frequency, identifies Bluetooth device signals, compares all the identified Bluetooth device signals with the list of authorized Bluetooth devices in the vehicle database, and filters out valid Bluetooth devices.

[0034] The filtering method for valid Bluetooth devices is as follows: If the signal of a Bluetooth device is the same as the signal of an authorized Bluetooth device in the list of authorized Bluetooth devices, then the Bluetooth device corresponding to the Bluetooth device signal is a valid Bluetooth device.

[0035] S12. Real-time detect the signal strength of each Bluetooth device, record the data of the change of signal strength over time, and obtain the moving direction and the real-time distance from the vehicle of each Bluetooth device according to the real-time position of each Bluetooth device, so as to form moving trajectory time-series data.

[0036] The moving direction of each Bluetooth device represents the connected direction between the position corresponding to the current time and the adjacent historical time and the real-time position; the real-time distance between each Bluetooth device and the vehicle represents the distance between the real-time position and the position of the vehicle.

[0037] S13. Arrange the data of the change of signal strength over time and the moving trajectory time-series data in chronological order to generate the dynamic behavior time-series sequence of each Bluetooth device.

[0038] By generating the dynamic behavior time-series sequence of each Bluetooth device, the present invention can more clearly show the change trend and behavior pattern of the Bluetooth device over time, which is convenient for subsequent comparative analysis and provides strong support for accurately screening out candidate Bluetooth devices with control intentions.

[0039] S2. Compare and analyze the dynamic behavior time-series sequences of each Bluetooth device to obtain the signal strength change rate and the change of the moving trajectory, and screen out candidate Bluetooth devices with control intentions.

[0040] It should be noted that the specific method for screening candidate Bluetooth devices with control intentions is as follows: Extract the signal strength in the dynamic behavior time-series sequence of each Bluetooth device, construct a change curve of the signal strength changing with time with time as the horizontal axis and the signal strength as the vertical axis, and obtain the signal strength change rate and the signal residence duration based on the change curve.

[0041] The signal strength change rate and the signal residence duration respectively represent the slope and the horizontal axis length of the change curve of the signal strength changing with time.

[0042] Extract the moving trajectory time-series data from the dynamic behavior time-series sequences of each Bluetooth device, perform direction angle deviation analysis on all moving directions in the moving trajectory time-series data with respect to the direction reference line, identify the consistency of the moving direction based on the results of the direction angle deviation analysis, and compare the real-time distances between the Bluetooth devices and the vehicle in the moving trajectory time-series data to obtain the distance change trend.

[0043] The direction reference line represents the straight line connecting the position where the Bluetooth device first enters the in-vehicle Bluetooth sensing area of the vehicle and the position of the vehicle.

[0044] The method for identifying the consistency of the moving direction is as follows: If the direction angle deviations between all moving directions and the direction reference line are all less than the set direction angle deviation threshold, it is determined that the running direction consistency of the Bluetooth device is consistent; otherwise, it is determined that the running direction consistency of the Bluetooth device is inconsistent.

[0045] The method for obtaining the distance change trend is as follows: Obtain the real-time distances between the Bluetooth devices and the vehicle at all timestamps in the dynamic behavior time-series sequences of each Bluetooth device, construct a time-distance change curve with the timestamp as the horizontal axis and the distance as the vertical axis. If the slope of the time-distance change curve is less than 0, the distance change trend of the Bluetooth device is a downward trend; if the slope of the time-distance change curve is greater than 0, the distance change trend of the Bluetooth device is an upward trend.

[0046] Screen candidate Bluetooth devices from each Bluetooth device based on preset control intention screening conditions.

[0047] Furthermore, the preset control intention screening conditions are: satisfying that the signal strength change rate is greater than the set signal strength change rate and the signal residence duration exceeds the set duration, and at the same time, the moving direction consistency is consistent and the distance change trend is a downward trend.

[0048] The present invention generates dynamic behavior time-series sequences by collecting the signal strength changes and moving trajectory time-series data of each Bluetooth device, and performs comparative analysis to screen candidate Bluetooth devices with control intentions, thereby accurately determining the Bluetooth device that the user actually uses to control the vehicle, ensuring the accuracy and reliability of vehicle control, and reducing the probability of misoperation.

[0049] S3. According to the real-time signal strength, historical user operation behavior data, and device trust level of each candidate Bluetooth device, analyze the control priorities of each candidate Bluetooth device through preset weight fusion.

[0050] Such as Figure 3As shown in the figure, the specific content of step S3 is as follows: S31. Retrieve the historical user operation behavior data and historical device trust data of each candidate Bluetooth device from the vehicle database, and perform weighted fusion analysis based on the frequency of successful vehicle control, historical operation duration, and the number of abnormal operation events in the historical user operation behavior data to obtain the historical user operation behavior score.

[0051] Furthermore, the historical user operation behavior score is obtained as follows: Retrieve the total vehicle control frequency and total operation duration of the in-vehicle Bluetooth of the vehicle from the vehicle central control platform. Take the ratios of the frequency of successful vehicle control, historical operation duration, and the number of abnormal operation events of each candidate Bluetooth device to the total vehicle control frequency, total operation duration, and frequency of successful vehicle control as the control success rate, operation duration ratio, and abnormal operation rate respectively. Perform weighted fusion analysis on the products of the control success rate, operation duration ratio, and abnormal operation rate and their corresponding weights to obtain the historical user operation behavior score. The formula for calculating the historical user operation behavior score is , where in the formula is the historical user operation behavior score, are the control success rate, operation duration ratio, and abnormal operation rate respectively, are the weights corresponding to the control success rate, operation duration ratio, and abnormal operation rate respectively.

[0052] The weights of the control success rate, operation duration ratio, and abnormal operation rate are set as follows: The control success rate reflects the frequency of the Bluetooth device successfully controlling the vehicle and is an important indicator for measuring whether the device is reliable and stable for vehicle control. Therefore, a relatively high weight, such as 0.4, is given to the control success rate. The operation duration ratio reflects the usage degree of the Bluetooth device during vehicle control. A longer operation duration usually means that the user relies on the device for vehicle operation more frequently or for a longer time. To ensure the continuity and stability of the user experience, a certain weight, such as 0.3, is given to the operation duration ratio. The abnormal operation rate reflects the frequency of abnormal situations occurring in the historical operations of the Bluetooth device and is a key indicator for evaluating the safety and stability of the device. A lower abnormal operation rate means that the device has fewer errors or abnormal behaviors during vehicle control, thereby reducing potential safety risks. Therefore, the abnormal operation rate also occupies an important position in the weight distribution, such as 0.3.

[0053] S32. Based on the device identity tag in the historical device trust data, assign a basic trust score, and perform dynamic analysis on it and the alarm impact score of the operation alarm record to obtain the device trust score.

[0054] Furthermore, the device trust score is obtained as follows: S321. According to the device identity tag in the historical device trust data of each candidate Bluetooth device, combine the user device authentication information to determine the basic trust score of each candidate Bluetooth device.

[0055] The determination method of the basic trust score for each candidate Bluetooth device is as follows: extract the authentication binding duration and authentication method in the user device authentication information, obtain the proportion of the authentication binding duration by comparing the authentication binding duration with the vehicle registration duration, and take the product of the trust weight of the authentication method and the proportion of the authentication binding duration as the authentication strength of the user device.

[0056] Perform collaborative analysis on the basic score corresponding to the device identity label and the authentication strength of the user device to obtain the basic trust score. The basic trust score is the sum of the authentication strength of the user device and 1 multiplied by the basic score corresponding to the device identity label.

[0057] In a specific embodiment, the device identity labels are the vehicle owner, long-term user, and temporary user. For example, the basic score of the vehicle owner can be set to 1, the basic score of the long-term user can be set to 0.8, and the basic score of the temporary user can be set to 0.5.

[0058] The authentication methods include biometric authentication methods, password authentication methods, and unauthenticated methods. For example, the biometric authentication methods are fingerprint and face authentication, the trust weight of the biometric authentication method can be 1, the trust weight of the password authentication method can be 0.5, and the trust weight of the unauthenticated method can be 0.1.

[0059] S322: Retrieve each operation warning event from the operation warning record, match each operation warning event with the set operation warning event sets corresponding to each risk level to obtain the number of operation warning events for each risk level, and statistically calculate the warning impact score of the operation warning record based on the set warning impact scores for each risk level.

[0060] The statistical method of the warning impact score of the operation warning record is to accumulate the results of multiplying the number of operation warning events for each risk level by the set warning impact score corresponding to the risk level.

[0061] In a specific embodiment, each risk level includes a high-risk level, a medium-risk level, and a low-risk level. The set of operation warning events for the high-risk level can be illegal engine start, abnormal brake system signal, accidental airbag trigger, etc. The set of operation warning events for the medium-risk level can be multiple failed attempts to unlock the door, unauthorized device connection attempts, and abnormal vehicle positioning, etc. The set of operation warning events for the low-risk level can be frequent disconnection of Bluetooth connection, abnormal operation of non-critical functions, and low battery reminder, etc. For example, the set warning impact score for the high-risk level is 5 points, the set warning impact score for the medium-risk level is 3 points, and the set warning impact score for the low-risk level is 1 point.

[0062] S323: Dynamically calculate the device trust score by calculating the ratio of the warning impact score to the total set warning impact score and combining it with the basic trust score.

[0063] Among them, the calculation formula for the device trust score is , where in the formula is the device trust score, is the basic trust score, is the alarm impact score, is the set total alarm impact score, for example .

[0064] S33. Normalize the real-time signal strength, historical user operation behavior score, and device trust score of each candidate Bluetooth device, perform a linear weighted calculation with the preset weights to obtain the control priority index, and generate the control priority of each candidate Bluetooth device based on the control priority index. Among them, the control priorities of each candidate Bluetooth device are sorted in descending order according to the control priority index.

[0065] Furthermore, the normalization processing method for the real-time signal strength of each candidate Bluetooth device is , where in the formula is the real-time signal strength of each candidate Bluetooth device after normalization processing, , is the number of each candidate Bluetooth device, is the real-time signal strength of each candidate Bluetooth device, are respectively the maximum and minimum values among the real-time signal strengths of each candidate Bluetooth device.

[0066] Among them, the weight settings of the real-time signal strength, historical user operation behavior score, and device trust score are determined based on the influence degree of each factor on the control priority of the Bluetooth device. Different factors have different degrees of influence on the stability and security of the automotive Bluetooth control system. Therefore, the weights are reasonably allocated to ensure that the evaluation results of the control priority can accurately reflect the comprehensive performance and reliability of the candidate Bluetooth devices.

[0067] The real-time signal strength reflects the current communication quality between the candidate Bluetooth device and the in-vehicle Bluetooth of the vehicle. A higher signal strength usually means a more stable and reliable communication link, which can transmit control instructions more timely and accurately. Therefore, the real-time signal strength occupies an important position in the weight setting. For example, the weight of the real-time signal strength is 0.4.

[0068] The historical user operation behavior score reflects the sum of the historical operation performance and user usage habits of the candidate Bluetooth device. It reflects the stability and reliability of the device, as well as the degree of dependence of the user on the device, and can screen out devices that have performed well in historical use and are frequently used by users, and give them control permissions preferentially. For example, the weight of the historical user operation behavior score is 0.3.

[0069] The device trust score evaluates the security and credibility of candidate Bluetooth devices. A higher device trust score means that the device has a lower risk during the authentication and operation processes, can effectively reduce potential security threats, and prevent unauthorized or insecure devices from obtaining control permissions. For example, the weight of the device trust score is 0.3.

[0070] The present invention utilizes real-time signal strength, historical user operation behavior data, and device trust levels, and through preset weights, fuses and analyzes the control priorities of each candidate Bluetooth device to ensure that the Bluetooth device with a high control priority obtains the control permission first, shortening the user waiting time, improving the response speed of automotive Bluetooth control, and at the same time reducing the probability of other devices preempting the permission.

[0071] S4. Select the candidate Bluetooth device with the highest control priority as the authorized Bluetooth device, establish a communication link through the Bluetooth Low Energy protocol, and allocate the automotive Bluetooth control permission. By selecting the candidate Bluetooth device with the highest control priority as the authorized Bluetooth device, the present invention can ensure that only the device that best meets the security and reliability requirements obtains the automotive Bluetooth control permission, effectively preventing illegal or untrusted devices from accessing the control system.

[0072] S5. Obtain the real-time location of the authorized Bluetooth device when the vehicle is running, and dynamically adjust the control permission of the corresponding Bluetooth device of the automotive Bluetooth in combination with the boundary of the corresponding electronic fence of the vehicle.

[0073] It should be noted that the specific content of step S5 is as follows: Compare the real-time location of the authorized Bluetooth device with the boundary of the corresponding electronic fence of the vehicle to obtain the spatial position offset. When the spatial position offset is greater than the set spatial position offset, record the offset duration. When the offset duration is greater than the set offset duration, disconnect the communication link between the vehicle and the authorized Bluetooth device, and screen the candidate Bluetooth device with the highest control priority within the boundary of the corresponding electronic fence of the vehicle to establish a communication link.

[0074] Furthermore, the calculation method of the spatial position offset includes: obtaining the longitude and latitude coordinates based on the real-time location of the authorized Bluetooth device, and using the ray method to judge the spatial position relationship between the longitude and latitude coordinates and the boundary of the corresponding electronic fence of the vehicle. When the longitude and latitude coordinates are outside the boundary of the corresponding electronic fence of the vehicle, calculate the Euclidean distance from the longitude and latitude coordinates to the nearest boundary of the corresponding electronic fence of the vehicle as the spatial position offset.

[0075] By obtaining the real-time location of the authorized Bluetooth device when the vehicle is running and dynamically adjusting the control permission of the corresponding Bluetooth device of the automotive Bluetooth in combination with the boundary of the corresponding electronic fence of the vehicle, the present invention prevents the abuse of permissions after the Bluetooth device exceeds the controllable range, ensures the reasonable allocation of Bluetooth control permissions during the vehicle operation process, and guarantees the safe operation of the vehicle.

[0076] Second aspect, a vehicle Bluetooth control system based on a keyless entry mode, includes a dynamic Bluetooth device identification module, a candidate Bluetooth device screening module, a control priority analysis module, a vehicle communication link establishment module, a control permission dynamic adjustment module, and a vehicle database.

[0077] As Figure 4 shown, the connection relationships between the modules are as follows: The dynamic Bluetooth device identification module is connected to the candidate Bluetooth device screening module, the control priority analysis module is respectively connected to the candidate Bluetooth device screening module and the vehicle communication link establishment module, the control permission dynamic adjustment module is connected to the vehicle communication link establishment module, and the vehicle database is respectively connected to the dynamic Bluetooth device identification module and the control priority analysis module.

[0078] The dynamic Bluetooth device identification module is used to real-time scan the Bluetooth device signals within the sensing area through the vehicle-mounted Bluetooth of the vehicle, collect the signal strength change data and the moving trajectory timing data of each Bluetooth device, and generate the dynamic behavior timing sequence of each Bluetooth device.

[0079] The candidate Bluetooth device screening module is used to compare and analyze the dynamic behavior timing sequences of each Bluetooth device to obtain the signal strength change rate and the moving trajectory change situation, and screen the candidate Bluetooth devices with control intentions.

[0080] The control priority analysis module is used to analyze the control priorities of each candidate Bluetooth device through preset weight fusion according to the real-time signal strength, historical user operation behavior data, and device trust level of each candidate Bluetooth device.

[0081] The vehicle communication link establishment module is used to select the candidate Bluetooth device with the highest control priority as the authorized Bluetooth device, establish a communication link through the Bluetooth Low Energy protocol, and allocate the vehicle Bluetooth control permission.

[0082] The control permission dynamic adjustment module is used to obtain the real-time position of the authorized Bluetooth device during vehicle operation, and dynamically adjust the vehicle Bluetooth control permission corresponding to the Bluetooth device in combination with the boundary of the corresponding electronic fence of the vehicle.

[0083] The vehicle database is used to store the list of authorized Bluetooth devices, as well as the historical user operation behavior data and historical device trust data of each authorized Bluetooth device.

[0084] The above formulas are all dimensionless and take their numerical values for calculation. The formulas are obtained by collecting a large amount of data for software simulation to get a formula closest to the real situation. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0085] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product.

[0086] Those of ordinary skill in the art will appreciate that the modules and algorithm steps of the examples described in connection with the embodiments disclosed herein can be implemented in electronic hardware, or in a combination of computer software and electronic hardware. Whether these functions are executed in hardware or software depends on the specific application and design constraints of the technical solution. A person skilled in the art can use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of this application.

[0087] In addition, the functional modules in the various embodiments of this application can be integrated into one processing module, or each module can exist physically alone, or two or more modules can be integrated into one module.

[0088] The above is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in this application, and all such changes or substitutions should be covered by the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

[0089] Finally, the above is only the preferred embodiment of the present invention and is not used to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for controlling a car Bluetooth based on a keyless entry mode, characterized in that, Including: S1. The in-vehicle Bluetooth of the vehicle scans the signals of Bluetooth devices in the sensing area in real time, collects the data of the signal strength change and the time-series data of the moving trajectories of each Bluetooth device, and generates the dynamic behavior time-series sequence of each Bluetooth device; S2. Compare and analyze the dynamic behavior time-series sequences of each Bluetooth device to obtain the signal strength change rate and the moving trajectory change situation, and screen the candidate Bluetooth devices with control intentions; S3. According to the real-time signal strength, historical user operation behavior data and device trust level of each candidate Bluetooth device, analyze the control priorities of each candidate Bluetooth device through preset weight fusion; S4. Select the candidate Bluetooth device with the highest control priority as the authorized Bluetooth device, establish a communication link through the Bluetooth Low Energy protocol, and allocate the Bluetooth control permission of the vehicle; S5. When the vehicle is running, obtain the real-time position of the authorized Bluetooth device, and dynamically adjust the Bluetooth device control permission corresponding to the vehicle Bluetooth in combination with the boundary of the corresponding electronic fence of the vehicle.

2. The automotive Bluetooth control method based on the keyless entry mode according to claim 1, wherein: The specific steps of step S1 are as follows: S11. The in-vehicle Bluetooth of the vehicle performs an omnidirectional scan of the sensing area at a fixed frequency in real time, identifies the Bluetooth device signals, compares all the identified Bluetooth device signals with the list of authorized Bluetooth devices in the vehicle database, and screens out the valid Bluetooth devices; S12. Detect the signal strength of each Bluetooth device in real time, record the data of the signal strength change over time, and obtain the moving direction of each Bluetooth device and the real-time distance from the vehicle according to the real-time position of each Bluetooth device, so as to form the time-series data of the moving trajectory; S13. Arrange the data of the signal strength change over time and the time-series data of the moving trajectory in chronological order to generate the dynamic behavior time-series sequence of each Bluetooth device.

3. The automotive Bluetooth control method based on the keyless entry mode according to claim 2, wherein: The specific method for screening the candidate Bluetooth devices with control intentions is as follows: Extract the signal strength in the dynamic behavior time-series sequence of each Bluetooth device, use time as the horizontal axis and signal strength as the vertical axis to construct a change curve of the signal strength changing with time, and obtain the signal strength change rate and the signal residence duration based on the change curve; Extract the time-series data of the moving trajectory in the dynamic behavior time-series sequence of each Bluetooth device, perform a direction angle deviation analysis on all the moving directions in the time-series data of the moving trajectory with the direction reference line, identify the consistency of the moving direction based on the result of the direction angle deviation analysis, and compare the real-time distance between the Bluetooth device and the vehicle in the time-series data of the moving trajectory with each other to obtain the distance change trend; Screen the candidate Bluetooth devices from each Bluetooth device based on the preset control intention screening conditions.

4. The automotive Bluetooth control method based on a keyless entry mode according to claim 3, characterized in that: The preset control intention screening conditions are: the signal strength change rate is greater than the set signal strength change rate and the signal residence duration exceeds the set duration, and at the same time, the moving direction consistency is consistent and the distance change trend is a downward trend.

5. A method for controlling an automotive Bluetooth based on a keyless entry mode according to claim 1, characterized in that: The specific content of step S3 is as follows: Retrieve the historical user operation behavior data and historical device trust data of each candidate Bluetooth device from the vehicle database, and perform weight fusion analysis based on the frequency of successfully controlling the vehicle, historical operation duration and the number of abnormal operation events in the historical user operation behavior data to obtain the historical user operation behavior score; Based on the device identity tags in the historical device trust data, a basic trust score is assigned, and it is dynamically analyzed with the alarm impact score in the operation alarm records to obtain the device trust score; Normalize the real-time signal strength, historical user operation behavior score, and device trust score of each candidate Bluetooth device, and perform a linear weighted calculation with the preset weights to obtain the control priority index, and generate the control priority of each candidate Bluetooth device based on the control priority index.

6. The method for controlling an automotive Bluetooth according to claim 5 based on a keyless entry mode, characterized in that: The method for obtaining the historical user operation behavior score is as follows: Retrieve the total vehicle control frequency and total operation duration of the in-vehicle Bluetooth of the vehicle. Take the ratios of the successful vehicle control frequency, historical operation duration, and number of abnormal operation events of each candidate Bluetooth device to the total vehicle control frequency, total operation duration, and successful vehicle control frequency as the control success rate, operation duration ratio, and abnormal operation rate respectively. Perform a fusion analysis on the product of the control success rate, operation duration ratio, and abnormal operation rate and the corresponding weights to obtain the historical user operation behavior score.

7. A method for controlling an automotive Bluetooth based on a keyless entry mode according to claim 5, characterized in that: The method for obtaining the device trust score is as follows: Based on the device identity tags in the historical device trust data of each candidate Bluetooth device, combine the user device authentication information to determine the basic trust score of each candidate Bluetooth device; Retrieve each operation alarm event from the operation alarm records, match each operation alarm event with the set operation alarm event sets corresponding to each risk level to obtain the number of operation alarm events at each risk level, and statistically calculate the alarm impact score of the operation alarm records based on the set alarm impact scores at each risk level; Dynamically calculate the ratio of the alarm impact score to the set total alarm impact score with the basic trust score to obtain the device trust score.

8. The automotive Bluetooth control method based on a keyless entry mode according to claim 7, characterized in that: The method for determining the basic trust score of each candidate Bluetooth device is as follows: Extract the authentication binding duration and authentication method in the user device authentication information, obtain the authentication binding duration ratio by comparing the authentication binding duration with the vehicle registration duration, and take the product of the trust weight of the authentication method and the authentication binding duration ratio as the user device authentication strength; Perform a collaborative analysis on the basic score corresponding to the device identity tag and the user device authentication strength to obtain the basic trust score.

9. A method for controlling an automotive Bluetooth based on a keyless entry mode according to claim 1, wherein: The specific content of step S5 is as follows: Compare the real-time position of the authorized Bluetooth device with the boundary of the corresponding electronic fence of the vehicle to obtain the spatial position offset. When the spatial position offset is greater than the set spatial position offset, record the offset duration. When the offset duration is greater than the set offset duration, disconnect the communication link between the vehicle and the authorized Bluetooth device, and screen the candidate Bluetooth device with the highest control priority within the boundary of the corresponding electronic fence of the vehicle to establish a communication link.

10. An automotive Bluetooth control system based on a keyless entry mode, characterized in that: It includes a dynamic Bluetooth device identification module, which is used to scan the Bluetooth device signals in the sensing area in real time through the in-vehicle Bluetooth of the vehicle, collect the signal strength change data and mobile trajectory time series data of each Bluetooth device, and generate the dynamic behavior time series sequence of each Bluetooth device; A candidate Bluetooth device screening module, which is used to perform a comparative analysis on the dynamic behavior time series sequences of each Bluetooth device to obtain the signal strength change rate and the mobile trajectory change situation, and screen the candidate Bluetooth devices with control intentions; A control priority analysis module, which is used to analyze the control priorities of each candidate Bluetooth device through preset weight fusion according to the real-time signal strength, historical user operation behavior data and device trust level of each candidate Bluetooth device; An automotive communication link establishment module, which is used to select the candidate Bluetooth device with the highest control priority as the authorized Bluetooth device, establish a communication link through the Bluetooth Low Energy protocol, and allocate automotive Bluetooth control permissions; A control permission dynamic adjustment module, which is used to obtain the real-time location of the authorized Bluetooth device during vehicle operation, and dynamically adjust the Bluetooth device control permissions corresponding to the automotive Bluetooth in combination with the boundary of the corresponding electronic fence of the vehicle; An automotive database, which is used to store the list of authorized Bluetooth devices and the historical user operation behavior data and historical device trust data of each authorized Bluetooth device.

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