Automatic Identification Method and System for TPMS Sensor IDs of Commercial Vehicle Trailers

Abstract

The application provides a commercial vehicle trailer TPMS sensor ID automatic identification method and system, and relates to the technical field of automobile electronics.The method comprises the following steps: a vehicle head receiver establishes a point-to-point wireless communication link with a trailer repeater through a low-power Bluetooth protocol; based on the point-to-point wireless communication link, the vehicle head receiver generates a dynamic encryption key and embeds an identity verification instruction, and sends the same to the trailer repeater through an encrypted channel; the trailer repeater extracts the key and performs a similarity matching calculation with a local legal vehicle head registration table; when the matching degree reaches a safety threshold, the trailer repeater reads a sensor ID set and encapsulates the same into a structured data packet.The application performs device screening and identity verification from the establishment of the communication link, dynamic encryption and integrity verification in data transmission, not only prevents data from being tampered with during transmission, but also ensures the legitimacy of the source of the sensor ID, and provides a guarantee for the reliability of the whole vehicle tire monitoring data.

Description

Technical Field

[0001] This invention relates to the field of automotive electronics technology, and in particular to a method and system for automatic identification of TPMS sensor IDs in commercial vehicle trailers. Background Technology

[0002] Commercial vehicles (such as tractor trucks) have detachable cabs and trailers. In logistics transportation scenarios, trailers often need to be replaced with different cabs to meet scheduling requirements. As a key component to ensure driving safety, the tire pressure monitoring system (TPMS) needs to monitor the pressure status of all tires (including the 6th to 10th tires of the cab and the 8th to 12th tires of the trailer) in real time. The accurate binding of sensor IDs to tire positions is the core prerequisite for achieving effective monitoring.

[0003] In the existing technology, when the trailer is replaced with a new tractor unit, the receiver of the new tractor unit may not be able to automatically recognize the TPMS sensor ID on the trailer. The sensor ID and its corresponding tire position information need to be manually entered. This process is not only time-consuming and labor-intensive, but may also lead to incorrect binding of ID and position due to human error, which may cause the monitoring data to be distorted (such as falsely reporting abnormal tire pressure).

[0004] In addition, while some solutions support wireless transmission of sensor IDs, some lack strict authentication and encryption mechanisms, which may pose a security risk of data tampering. Furthermore, when vehicle configurations (such as the number of tires and axle type) change, the display may not be able to automatically adapt and update the layout, requiring manual readjustment, which may affect monitoring efficiency and driving safety. Summary of the Invention

[0005] The technical problem to be solved by this invention is to provide a method and system for automatic identification of TPMS sensor IDs for commercial vehicles and trailers. From device screening and identity verification when establishing a communication link to dynamic encryption and integrity verification during data transmission, it not only prevents data from being tampered with during transmission, but also ensures the legitimacy of the sensor ID source, thus providing a guarantee for the reliability of the tire monitoring data of the entire vehicle.

[0006] To solve the above-mentioned technical problems, the technical solution of the present invention is as follows:

[0007] Firstly, a method for automatic identification of TPMS sensor IDs on commercial vehicle trailers, the method comprising:

[0008] Step 1: The receiver at the front of the vehicle establishes a point-to-point wireless communication link with the trailer repeater via Bluetooth Low Energy protocol.

[0009] Step 2: Based on the point-to-point wireless communication link, the truck head receiver generates a dynamic encryption key and embeds an authentication command, which is then sent to the trailer repeater through an encrypted channel. The trailer repeater extracts the key and performs a similarity matching calculation with the local legitimate truck head registry. When the matching degree reaches a security threshold, the trailer repeater reads the sensor ID set and encapsulates it into a structured data packet.

[0010] Step 3: Verify and parse the structured data packet to extract the trailer tire pressure sensor ID set; convert the ID set into a trailer tire ID-position mapping table; at the same time, convert the local truck head ID set into a truck head tire ID-position mapping table; perform database association and merging on the trailer tire ID-position mapping table and the truck head tire ID-position mapping table to generate a global tire database containing the binding relationship between all tire position identifiers and sensor IDs;

[0011] Step 4: The front receiver calls the global tire database, dynamically configures the tire ID display area layout of the display screen according to the distribution characteristics of the tire position identifiers in the global tire database, and automatically assigns each sensor ID to the display area corresponding to its mapped tire position identifier.

[0012] Further, in step 1, the truck head receiver establishes a point-to-point wireless communication link with the trailer repeater via Bluetooth Low Energy protocol, including:

[0013] The front receiver initiates a low-power Bluetooth broadcast scan, periodically capturing repeater broadcast data packets within the communication range and extracting the device type identifier from the data packets;

[0014] The device type identifier is compared with a preset trailer repeater encoding library for binary similarity calculation. Based on the calculation results, a set of candidate devices with a matching degree exceeding a dynamic threshold is selected as the initial screening result.

[0015] Based on the initial screening results, the received signal strength of each device is measured; a stability index is generated by compensation calculation based on the signal attenuation characteristics; and the set of devices with an index greater than the stability threshold is selected as the secondary screening results.

[0016] The secondary screening results are sorted in descending order of stability index, and the highest-ranking device is selected as the target repeater. A connection request containing encrypted session parameters is sent to it.

[0017] The system receives encrypted response data packets returned by the target repeater, decrypts them to extract the identity verification code, performs consistency verification with the pre-stored trailer equipment feature code, and establishes a point-to-point wireless communication link after the verification is successful.

[0018] Further, in step 2, based on the point-to-point wireless communication link, the tractor receiver generates a dynamic encryption key and embeds an authentication command, which is then sent to the trailer repeater via an encrypted channel. The trailer repeater extracts this key and performs a similarity matching calculation with the local legitimate tractor registry. When the matching degree reaches a security threshold, the trailer repeater reads the sensor ID set and encapsulates it into a structured data packet, including:

[0019] Based on a point-to-point wireless communication link, the real-time clock signal of the vehicle head receiver is obtained as the first time source, and the unique serial number of the device is read as the identity identification source; the first time source and the identity identification source are concatenated byte-level to generate an original data block; a secure hash digest calculation is performed on the original data block to generate a fixed-length dynamic encryption key;

[0020] The dynamic encryption key is embedded in the protocol payload field of the authentication command to construct an encrypted authentication command frame; the command frame is then encrypted at the channel layer using an Advanced Encryption Standard (AES) algorithm to generate encrypted transmission data blocks, which are then transmitted to the trailer repeater.

[0021] Based on the instructions received by the trailer repeater, the protocol payload field of the received instructions is parsed, and the dynamic encryption key is extracted as the verification object; with the verification object as input, the legal vehicle head device registry entries stored on the local end are traversed, and similarity matching calculation is performed to generate a matching score for each entry; when an entry matching score reaches a preset security threshold, a verification pass flag is generated.

[0022] In response to the verification pass flag, the set of trailer tire pressure sensor IDs is read from non-volatile memory as the original dataset; data augmentation operations are performed on the original dataset to generate an augmented dataset, namely, attaching a corresponding physical tire position code to each sensor ID and generating a cyclic redundancy check code for each ID-position combination; the augmented dataset is used as input, and encapsulation calculations are performed according to the data frame structure rules of the vehicle bus communication protocol to generate structured data packets.

[0023] Further, in step 3, the structured data packet is verified and parsed to extract the trailer tire pressure sensor ID set; the ID set is converted into a trailer tire ID-position mapping table; simultaneously, the local tractor ID set is converted into a tractor tire ID-position mapping table; the trailer tire ID-position mapping table and the tractor tire ID-position mapping table are merged into a database association to generate a global tire database containing the binding relationships between all tire position identifiers and sensor IDs, including:

[0024] The front receiver performs integrity verification on the structured data packets, including: extracting the checksum field from the structured data packets; recalculating the checksum value for the payload of the structured data packets; and determining the data packet as valid when the recalculated checksum value matches the extracted checksum field.

[0025] Based on the valid data packet, the data packet is disassembled according to the preset data structure rules to obtain the field set; the trailer tire pressure sensor ID and its bound tire position identifier are extracted from the field set; the extracted ID and position identifier are used as input to generate a trailer tire ID-position mapping table;

[0026] Based on the valid data packet, the set of tire pressure sensor IDs of the front tires stored locally in the front receiver is read, and the set of IDs is converted into a front tire ID-position mapping table.

[0027] Perform a union operation on the trailer tire ID-location mapping table and the tractor tire ID-location mapping table; when there are duplicate IDs for the same location identifier, prioritize retaining the ID record from the trailer mapping table; generate a global mapping table containing all tire location identifiers and their corresponding sensor IDs;

[0028] A global tire database is constructed based on the global mapping table. A unique database index is assigned to each sensor ID in sequence, and a two-way binding relationship is established between the location identifier and the index number.

[0029] Further, in step 4, the front-end receiver accesses the global tire database, dynamically configures the tire ID display area layout of the display screen based on the distribution characteristics of tire position identifiers in the global tire database, and automatically assigns each sensor ID to the display area corresponding to its mapped tire position identifier, including:

[0030] The system calls the global tire database, iterates through all records to count the number of tires on the steering axle, drive axle, and trailer load-bearing axle; and uses the counted number as input to calculate and display weighting coefficients based on the axle type distribution.

[0031] Based on the weighting coefficients, the horizontal area of ​​the display screen is divided into main display areas according to the proportions of the weight of the steering axle, drive axle, and trailer load-bearing axle. Each main display area is then assigned a rectangular sub-area of ​​equal width and height, which is equal to the number of tires of the corresponding axle type.

[0032] Based on the rectangular sub-region layout, the database records are sorted according to the spatial order of the tire position identifiers, and the sorted sensor IDs are sequentially bound to the rectangular sub-regions of the corresponding axis type display area to generate an initial mapping table.

[0033] Iterate through each rectangular sub-region of the initial mapping table to bind records and identify sub-regions with multiple sensor IDs as a set of conflict regions;

[0034] Extract the received timestamps of all sensor IDs within each conflict area set; select the ID with the latest timestamp as the valid binding; move the overwritten old ID records into the database exception log; in response to the overwritten ID records, trigger multi-level alarm prompts, including displaying a warning icon in the corresponding sub-area of ​​the display screen and sending exception codes via the vehicle CAN bus; integrate the conflict handling results with the binding relationship of non-conflict areas to generate the final mapping table;

[0035] The display is refreshed based on the final mapping table, and the bound sensor ID and its real-time monitoring data are rendered in each rectangular sub-region. When the global tire database is updated or an alarm is received, the following sequential operations are automatically triggered:

[0036] Statistical analysis of tire location marker distribution characteristics and calculation of weighting coefficients;

[0037] Dynamically configure display layout parameters based on weighted coefficients;

[0038] Perform sensor ID and display area mapping assignment to generate a new mapping table;

[0039] Perform conflict detection and handling on the new mapping table, and output the updated final mapping table;

[0040] The display refresh process is initiated based on the updated final mapping table.

[0041] Secondly, the commercial vehicle trailer TPMS sensor ID automatic identification system includes:

[0042] Establishment module, used by the front receiver to establish a point-to-point wireless communication link with the trailer repeater via Bluetooth Low Energy protocol;

[0043] The structured module is used for point-to-point wireless communication links. The tractor receiver generates a dynamic encryption key and embeds authentication instructions, which are then sent to the trailer repeater through an encrypted channel. The trailer repeater extracts the key and performs a similarity matching calculation with the local legitimate tractor registry. When the matching degree reaches a security threshold, the trailer repeater reads the sensor ID set and encapsulates it into a structured data packet.

[0044] The mapping module is used to verify and parse structured data packets, extract the set of trailer tire pressure sensor IDs; convert the set of IDs into a trailer tire ID-position mapping table; at the same time, convert the local tractor ID set into a tractor tire ID-position mapping table; perform database association and merging on the trailer tire ID-position mapping table and the tractor tire ID-position mapping table to generate a global tire database containing the binding relationship between the tire position identifiers and sensor IDs of all vehicles.

[0045] The dynamic configuration module is used by the front receiver to call the global tire database, dynamically configure the tire ID display area layout of the display screen according to the distribution characteristics of the tire position identifiers in the global tire database, and automatically assign each sensor ID to the display area corresponding to its mapped tire position identifier.

[0046] Thirdly, a computing device, comprising:

[0047] One or more processors;

[0048] A storage device for storing one or more programs that, when executed by one or more processors, cause the one or more processors to implement the method.

[0049] Fourthly, a computer-readable storage medium storing a program that, when executed by a processor, implements the method.

[0050] The above-described solution of the present invention has at least the following beneficial effects:

[0051] The system automatically establishes communication links and identifies and matches sensor IDs via Bluetooth Low Energy, eliminating the cumbersome process of manual data entry. After a trailer changes cabs, drivers can automatically bind IDs to tire positions during operation, improving logistics efficiency. Dynamic encryption keys and authentication mechanisms ensure communication between only legitimate cabs and trailers, effectively preventing unauthorized access and data tampering. Integrity checks and conflict detection filter invalid data and correct ID binding errors, preventing data distortion due to human error and ensuring drivers can accurately obtain tire pressure status and handle anomalies promptly. A global tire database enables unified management of cab and trailer tire data, while the dynamic display layout automatically adjusts the display area based on vehicle axle distribution, tire quantity, and other configuration changes. It quickly responds and updates display content when tire quantity increases or decreases, axle type changes, or trailers are replaced. By calculating display weight coefficients, tire information for key components like steering and drive shafts occupies a more reasonable proportion on the display, and sensor IDs are bound in spatial order, ensuring a one-to-one correspondence between the screen layout and the actual tire positions. Drivers can intuitively and quickly identify the status of tires in various positions, and with multi-level alarm prompts, they can promptly grasp fault information and accurately locate the problematic tire. Attached Figure Description

[0052] Figure 1 This is a flowchart illustrating the automatic identification method for TPMS sensor IDs of commercial vehicle trailers provided in an embodiment of the present invention.

[0053] Figure 2This is a schematic diagram of an automatic identification system for TPMS sensor IDs of commercial vehicle trailers provided in an embodiment of the present invention. Detailed Implementation

[0054] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0055] like Figure 1 As shown, embodiments of the present invention propose an automatic identification method for TPMS sensor IDs of commercial vehicle trailers, the method comprising the following steps:

[0056] Step 1: The receiver at the front of the vehicle establishes a point-to-point wireless communication link with the trailer repeater via Bluetooth Low Energy protocol.

[0057] Step 2: Based on the point-to-point wireless communication link, the truck head receiver generates a dynamic encryption key and embeds an authentication command, which is then sent to the trailer repeater through an encrypted channel. The trailer repeater extracts the key and performs a similarity matching calculation with the local legitimate truck head registry. When the matching degree reaches a security threshold, the trailer repeater reads the sensor ID set and encapsulates it into a structured data packet.

[0058] Step 3: Verify and parse the structured data packet to extract the trailer tire pressure sensor ID set; convert the ID set into a trailer tire ID-position mapping table; at the same time, convert the local truck head ID set into a truck head tire ID-position mapping table; perform database association and merging on the trailer tire ID-position mapping table and the truck head tire ID-position mapping table to generate a global tire database containing the binding relationship between all tire position identifiers and sensor IDs;

[0059] Step 4: The front receiver calls the global tire database, dynamically configures the tire ID display area layout of the display screen according to the distribution characteristics of the tire position identifiers in the global tire database, and automatically assigns each sensor ID to the display area corresponding to its mapped tire position identifier.

[0060] In this embodiment of the invention, a point-to-point wireless communication link is established through the Bluetooth Low Energy protocol. This not only meets the stable data transmission requirements between the tractor and trailer but also reduces equipment power consumption and extends battery life due to its low power consumption. Simultaneously, the point-to-point communication mode reduces signal interference, improving the stability and anti-interference capability of the communication link. The combination of dynamic encryption keys and authentication mechanisms effectively blocks unauthorized device access, prevents forged commands or malicious attacks, and enhances the security of the communication process. Sensor ID data packets are only encapsulated when the matching degree reaches a security threshold, ensuring that the transmitted sensor data originates from a legitimately associated trailer. Verification and parsing of structured data packets filters out invalid or erroneous data, ensuring the accuracy of the extracted sensor ID set. Tire ID-position mapping tables for both the tractor and trailer are generated and merged, integrating all tire data to form a complete and unified global tire database. Dynamically configuring the display screen layout based on the distribution characteristics of tire position identifiers in the global database ensures that the displayed content accurately corresponds to the actual tire positions, allowing the driver to intuitively and quickly identify the sensor information of each tire, improving information acquisition efficiency.

[0061] In a preferred embodiment of the present invention, step 1 above, in which the truck head receiver establishes a point-to-point wireless communication link with the trailer repeater via Bluetooth Low Energy protocol, includes:

[0062] Step 11: The front receiver starts a low-power Bluetooth broadcast scan, periodically captures repeater broadcast data packets within the communication range, and extracts the device type identifier from the data packets;

[0063] Step 12: Perform binary similarity calculation between the device type identifier and the preset trailer repeater encoding library, and filter the candidate device set whose matching degree exceeds the dynamic threshold based on the calculation result as the initial screening result;

[0064] Step 13: For the primary screening results, measure the received signal strength of each device; calculate the stability index based on the signal attenuation characteristics; select the set of devices whose index is greater than the stability threshold as the secondary screening results.

[0065] Step 14: Sort the secondary screening results in descending order of stability index, select the highest-ranking device as the target repeater, and send a connection request containing encrypted session parameters to it.

[0066] Step 15: Receive the encrypted response data packet returned by the target repeater, decrypt it to extract the identity verification code, and perform a consistency check with the pre-stored trailer equipment feature code. After the check passes, establish a point-to-point wireless communication link.

[0067] In this embodiment of the invention, by periodically scanning and extracting device type identifiers, potential trailer repeaters in the vicinity can be quickly discovered, providing a basis for subsequent screening. Simultaneously, the low power consumption characteristic reduces energy consumption. Preliminary screening using binary similarity calculation effectively eliminates devices that do not belong to the trailer repeater category, narrowing the scope of subsequent processing and improving screening efficiency. Considering signal attenuation characteristics, compensation calculations yield a stability index, which more accurately assesses the communication stability of devices, screening out devices with more reliable communication quality and ensuring the establishment of a stable communication link. Selecting the device with the highest stability index as the target repeater maximizes the stability of the subsequent communication link. The addition of encrypted session parameters lays the foundation for communication security. By decrypting and extracting the identity verification code and verifying it with pre-stored feature codes, the legitimacy of the target repeater can be ensured, preventing unauthorized device access and further enhancing communication security, ultimately establishing a reliable point-to-point communication link.

[0068] In this embodiment of the invention, when applied in a specific way, it can be implemented through the following technical solutions, for example:

[0069] In step 11 above, the vehicle front receiver starts a low-power Bluetooth broadcast scan at fixed time intervals (e.g., once every 2 seconds). During the scan, it continuously captures broadcast data packets emitted by all devices within a certain range (usually 10-30 meters). Each captured data packet is parsed to extract specific field information used to identify the device type, i.e., the device type identifier.

[0070] In step 12 above, the extracted device type identifier is compared with the standard code stored in the preset trailer repeater code library bit by bit, and the proportion of identical bits is counted to calculate the binary similarity. Based on the requirements for device matching accuracy in actual application scenarios, a dynamically changing threshold (such as 80%) is set, and devices with similarity exceeding the threshold are selected to form a candidate device set as the initial screening result.

[0071] In step 13 above, for each device in the primary screening results, the receiver's built-in signal strength detection module is used to measure and record the received signal strength value in real time; based on the attenuation model of wireless signals during propagation (such as the attenuation law with increasing distance), the measured signal strength value is compensated and calculated to eliminate the influence of factors such as distance on signal strength, and a stability index reflecting the communication stability of the device is obtained; a stability threshold (such as a fixed value) is set, and devices with a stability index greater than the threshold are selected to form the secondary screening results.

[0072] In step 14 above, all devices in the secondary screening results are sorted in descending order of their stability index; the device ranked first, i.e., the one with the highest stability index, is selected as the target repeater; a connection request containing encrypted session parameters (initial parameters for subsequent encrypted communication) is sent to the target repeater.

[0073] In step 15 above, the encrypted response data packet returned by the target repeater in response to the connection request is received. The data packet is decrypted using the decryption key pre-stored in the truck head receiver to extract the identity verification code. The extracted identity verification code is compared bit by bit with the trailer equipment feature code pre-stored in the receiver to check whether the two are completely consistent. If they are consistent, the verification is successful, and the point-to-point wireless communication link between the truck head receiver and the trailer repeater is formally established.

[0074] In a preferred embodiment of the present invention, in step 2 above, based on a point-to-point wireless communication link, the truck head receiver generates a dynamic encryption key and embeds an authentication command, which is then sent to the trailer repeater via an encrypted channel. The trailer repeater extracts the key and performs a similarity matching calculation with the local legitimate truck head registry. When the matching degree reaches a security threshold, the trailer repeater reads the sensor ID set and encapsulates it into a structured data packet, including:

[0075] Step 21: Based on the point-to-point wireless communication link, obtain the real-time clock signal of the vehicle head receiver as the first time source, and read the unique serial number of the device as the identity source; concatenate the first time source and the identity source at the byte level to generate the original data block; perform a secure hash digest calculation on the original data block to generate a fixed-length dynamic encryption key;

[0076] Step 22: Embed the dynamic encryption key into the protocol payload field of the authentication command to construct an encrypted authentication command frame; perform channel layer encryption processing on the command frame using the Advanced Encryption Standard algorithm to generate encrypted transmission data blocks, and transmit them to the trailer repeater;

[0077] Step 23: Based on the instructions received by the trailer repeater, parse the protocol payload field of the received instructions and extract the dynamic encryption key as the verification object; using the verification object as input, traverse the legal vehicle head device registry entries stored on the local end, perform similarity matching calculation to generate a matching score for each entry; when an entry's matching score reaches a preset security threshold, generate a verification pass flag.

[0078] Step 24: In response to the verification pass flag, read the set of trailer tire pressure sensor IDs from non-volatile memory as the original dataset; perform data augmentation operations on the original dataset to generate an augmented dataset, that is, attach the corresponding physical tire position code to each sensor ID and generate a cyclic redundancy check code for each ID-position combination; take the augmented dataset as input and perform encapsulation calculations according to the data frame structure rules of the vehicle bus communication protocol to generate a structured data packet.

[0079] In this embodiment of the invention, the dynamic encryption key generated based on the real-time clock signal and the device's unique serial number is time-sensitive and unique, effectively avoiding the risk of fixed keys being cracked and reused, thus improving the encryption security of subsequent communications. By embedding the dynamic encryption key into the instruction frame and encrypting it as a whole, a dual encryption protection mechanism is formed, which can ensure the confidentiality of the authentication instruction and prevent the instruction from being tampered with or eavesdropped on during transmission. Through strict similarity matching calculation, legitimate truck head receivers can be accurately identified, ensuring that only authorized truck heads can obtain the trailer's sensor data, thus guaranteeing data access security. Data augmentation operation establishes a clear correspondence between the sensor ID and the actual physical position of the tires, while cyclic redundancy check codes ensure the integrity of the data during transmission. The structured data packets encapsulated according to standard protocols facilitate fast and accurate parsing by the truck head receiver, providing a reliable and standardized data foundation for subsequent data processing and display.

[0080] In this embodiment of the invention, when applied in a specific way, it can be implemented through the following technical solutions, for example:

[0081] In step 21 above, the front receiver acquires its own current real-time clock signal as the primary time source; it then reads the unique hardware serial number set at the factory as the identification source. Next, the real-time clock signal is converted into binary data of a specific byte length, and this data is sequentially concatenated byte-by-byte with the binary data of the device serial number to form a continuous raw data block. A secure hash digest calculation is then performed on this raw data block. Through multiple rounds of grouping, character substitution, and logical operations, a fixed-length hash value is finally generated; this hash value is the dynamic encryption key.

[0082] In step 22 above, according to the protocol specification of the authentication instruction, the payload field used to carry the key in the protocol is determined; the dynamic encryption key is embedded into the payload field according to the format and order required by the protocol, thereby constructing a complete encrypted authentication instruction frame. The instruction frame contains necessary components such as frame header, instruction type, payload, and frame tail; the entire encrypted authentication instruction frame is encrypted at the channel layer using the Advanced Encryption Standard algorithm. First, the instruction frame is divided into fixed-length data segments, and then multiple rounds of encryption transformation operations are performed on each data segment to generate encrypted transmission data blocks, which are then sent to the trailer repeater through the established point-to-point wireless communication link.

[0083] In step 23 above, after receiving the encrypted data block, the trailer repeater decrypts it using the corresponding decryption algorithm to restore the complete authentication command frame; it parses the protocol payload field of the command frame and extracts the dynamic encryption key as the verification object; it iterates through all entries in the registry of legitimate truck head devices stored locally by the trailer repeater, compares the feature information contained in each entry with the extracted dynamic encryption key one by one, and counts the proportion of the number of matching bytes to the total byte length to generate a matching score for each entry; when the matching score of an entry reaches the preset security threshold, the trailer repeater generates a verification pass flag.

[0084] In step 24 above, after the trailer repeater receives the verification pass flag, it reads the pre-stored set of trailer tire pressure sensor IDs from its own non-volatile memory and uses it as the original dataset. It then performs data augmentation on the original dataset: on the one hand, based on the actual installation position of the trailer tires (e.g., which axle, left or right), it adds a corresponding physical tire position code to each sensor ID; on the other hand, for each "sensor ID-physical tire position code" combination, it calculates using a cyclic redundancy check (CRC) algorithm to generate a corresponding CRC code, thus forming an augmented dataset; finally, according to the data frame structure rules specified in the vehicle bus communication protocol (including the arrangement of frame header, data length, data fields, check bits, etc.), it integrates and encapsulates the augmented dataset into a structured data packet.

[0085] In a preferred embodiment of the present invention, step 3 above involves verifying and parsing the structured data packet to extract the trailer tire pressure sensor ID set; converting the ID set into a trailer tire ID-position mapping table; simultaneously converting the local tractor ID set into a tractor tire ID-position mapping table; and performing database association and merging on the trailer tire ID-position mapping table and the tractor tire ID-position mapping table to generate a global tire database containing the binding relationships between all vehicle tire position identifiers and sensor IDs, including:

[0086] Step 31: The head unit receiver performs integrity verification on the structured data packet, including: extracting the checksum field from the structured data packet; recalculating the checksum value for the payload of the structured data packet; when the recalculated checksum value matches the extracted checksum field, it is determined to be a valid data packet.

[0087] Step 32: Based on the valid data packet, disassemble the data packet according to the preset data structure rules to obtain the field set; extract the trailer tire pressure sensor ID and its bound tire position identifier from the field set; use the extracted ID and position identifier as input to generate a trailer tire ID-position mapping table;

[0088] Step 33: Based on the valid data packet, read the set of tire pressure sensor IDs stored locally in the front receiver and convert the set of IDs into a tire ID-position mapping table.

[0089] Step 34: Perform a union operation on the trailer tire ID-position mapping table and the tractor tire ID-position mapping table; when there are duplicate IDs for the same position identifier, the ID record in the trailer mapping table is retained first; generate a global mapping table containing all tire position identifiers and their corresponding sensor IDs;

[0090] Step 35: Construct a global tire database based on the global mapping table, and sequentially assign a unique database index to each sensor ID, establishing a two-way binding relationship between the location identifier and the index number.

[0091] In this embodiment of the invention, integrity verification promptly detects data packet corruption caused by interference or tampering during transmission, ensuring that only complete and accurate data packets enter the subsequent processing flow, thus guaranteeing the reliability of data parsing. The original data packets are disassembled and a mapping table is generated, making the correspondence between trailer sensor IDs and tire positions intuitive and structured, facilitating subsequent integration with tractor data and improving data processing efficiency. A unified presentation format for tractor and trailer data creates compatibility conditions for their merging operations. Through union operations and conflict handling, complete integration of tractor and trailer tire data is achieved, ensuring data comprehensiveness and resolving potential duplicate conflicts, providing a complete and consistent foundation for the construction of the global database. A unique index is assigned to sensor IDs and a two-way binding relationship is established, greatly improving database retrieval efficiency and facilitating rapid subsequent queries for sensor information corresponding to tire positions or tire positions corresponding to sensor IDs, providing data support for dynamic display layout and other operations.

[0092] In this embodiment of the invention, when applied in a specific way, it can be implemented through the following technical solutions, for example:

[0093] In step 31 above, after the tractor receiver receives the structured data packet, it identifies the specific field in the data packet used to store the checksum (such as a fixed-length area at the end of the data packet) and extracts the checksum from it; it determines the payload portion of the data packet other than the checksum (including key information such as sensor ID and location identifier), and recalculates the checksum value of the payload according to the same rules as when the trailer repeater generates the checksum (such as the cyclic redundancy check method); finally, it compares the recalculated checksum value with the extracted checksum. If the two are completely identical, the structured data packet is determined to be a valid data packet.

[0094] In step 32 above, for valid data packets that pass verification, the data packets are split into multiple independent fields according to preset data structure rules (such as field length, order, delimiters, etc.) to form a field set. From the field set, the trailer tire pressure sensor ID field and its associated tire position identifier field (such as specific position information such as "trailer axle 1 left" and "trailer axle 2 right") are selected to clarify the tire position corresponding to each sensor ID. Then, using the sensor ID as the row index and the tire position identifier as the corresponding content, a table that clearly records the correspondence between the two is generated, namely the trailer tire ID-position mapping table.

[0095] In step 33 above, while processing valid data packets, the front receiver reads a pre-saved set of 6-10 front tire pressure sensor IDs from its local storage unit (such as built-in memory). Based on the actual layout of the front tires (e.g., "front axle left," "front drive axle right," etc.), it matches each ID with a corresponding fixed position identifier, establishing a one-to-one correspondence. Referring to the format of the trailer tire ID-position mapping table, it generates a front tire ID-position mapping table that records the front sensor IDs and their corresponding tire positions.

[0096] In step 34 above, all records in the trailer tire ID-position mapping table and the tractor tire ID-position mapping table are aggregated and subjected to a union operation, retaining all unique "sensor ID-position identifier" records. During the aggregation process, if multiple sensor IDs correspond to the same position identifier (such as overlapping positions of special vehicle models), the ID records in the trailer mapping table are retained first according to preset rules. After processing, a global mapping table containing all tire position identifiers and corresponding sensor IDs of the tractor and trailer is generated.

[0097] In step 35 above, the front receiver assigns a unique numerical index to each sensor ID in the global mapping table. This numerical index can be numbered starting from 1 in a certain order. For example, the first sensor ID is assigned index 1, the second is assigned index 2, and so on. This numerical index will serve as the unique identifier of the sensor ID in the global tire database, making it convenient to manage and query it.

[0098] The front receiver associates each tire position identifier with its corresponding sensor ID index. This association is bidirectional; the corresponding sensor ID index can be quickly found through the tire position identifier, and the corresponding tire position identifier can also be quickly found through the sensor ID index.

[0099] The front-end receiver organizes and stores these sensor IDs, digital indexes, tire position identifiers, and their interrelationships according to the storage format of the global tire database. The storage format specifies the storage structure and data type of this data in the database to ensure that the data can be read, written, and managed. Once these operations are completed, the global tire database is built.

[0100] In a preferred embodiment of the present invention, step 4 above, in which the front-end receiver calls the global tire database, dynamically configures the tire ID display area layout of the display screen according to the distribution characteristics of tire position identifiers in the global tire database, and automatically assigns each sensor ID to the display area corresponding to its mapped tire position identifier, includes:

[0101] Step 41: Call the global tire database, traverse all records to count the number of tires on the steering axle, drive axle, and trailer load-bearing axle; use the counted number as input to calculate and display the weighting coefficient based on the axle type distribution;

[0102] Step 42: Based on the weighting coefficients, the horizontal area of ​​the display screen is divided into main display areas according to the proportions of the weight of the steering axle of the vehicle head, the weight of the drive axle, and the weight of the trailer load-bearing axle. Each main display area is then assigned a rectangular sub-area of ​​equal width and height, which is equal to the number of tires of the corresponding axle type.

[0103] Step 43: Based on the rectangular sub-region layout, sort the database records according to the spatial order of the tire position identifiers, and bind the sorted sensor IDs to the rectangular sub-regions of the corresponding axis type display area to generate an initial mapping table.

[0104] Step 44: Traverse each rectangular sub-region binding record in the initial mapping table and identify sub-regions with multiple sensor IDs as conflict region sets;

[0105] Step 45: Extract the receiving timestamps of all sensor IDs in each conflict area of ​​the conflict area set; select the ID with the latest timestamp as the valid binding; move the old ID records that will be covered into the database exception log; in response to the covered ID records, trigger multi-level alarm prompts, including displaying a warning icon in the corresponding sub-area of ​​the display screen and sending an exception code through the vehicle CAN bus; integrate the binding relationship between the conflict handling results and the non-conflict areas to generate the final mapping table.

[0106] Step 46: Refresh the display screen based on the final mapping table, and render the bound sensor ID and its real-time monitoring data in each rectangular sub-region; when the global tire database is updated or an alarm is received, the following sequential operations are automatically triggered:

[0107] Statistical analysis of tire location marker distribution characteristics and calculation of weighting coefficients;

[0108] Dynamically configure display layout parameters based on weighted coefficients;

[0109] Perform sensor ID and display area mapping assignment to generate a new mapping table;

[0110] Perform conflict detection and handling on the new mapping table, and output the updated final mapping table;

[0111] The display refresh process is initiated based on the updated final mapping table.

[0112] In this embodiment of the invention, by statistically analyzing the number of tires and calculating weighting coefficients, the layout of the display screen can be reasonably allocated according to the actual axle type distribution and number of tires of the vehicle, making the tire information of important axles more prominent when displayed, thus improving the rationality of information display; dividing the main display area according to weight and allocating sub-areas of equal width and height not only ensures that the display ratio of tire information of different axles conforms to the weight setting, but also makes the information display area of ​​each tire standardized and uniform, making it easy for drivers to quickly identify and compare. Sensor IDs are sorted and bound in spatial order, ensuring that the sub-area layout on the display corresponds to the actual spatial position of the vehicle's tires. This allows the driver to intuitively understand the condition of the tires at each location, improving readability and relevance. Timely identification of conflict areas prevents information confusion caused by multiple sensor IDs displaying in the same sub-area, ensuring the accuracy of information display. Conflicts are resolved by selecting valid IDs using timestamps, ensuring that the sub-area displays the latest sensor information, improving data timeliness. Anomaly logs and multi-level alarms provide timely feedback on issues, facilitating rapid handling of abnormal situations. The display content is refreshed based on the final mapping table, providing real-time updates of the tire information. Automatic update operations are triggered when the database is updated or an alarm is triggered, allowing the display to dynamically adapt to vehicle configuration and data changes, ensuring the real-time nature and accuracy of the displayed content.

[0113] In this embodiment of the invention, when applied in a specific way, it can be implemented through the following technical solutions, for example:

[0114] In step 41 above, the tractor receiver calls the global tire database, checks all records in the database one by one, distinguishes the tires corresponding to the tractor steering axle, drive axle and trailer load-bearing axle, and counts the number of tires for each of these three types of axles; based on the distribution of axle types (e.g., the steering axle is more important for driving safety), a basic weight ratio is set for different axle types, and then combined with the number of tires for each type, the display weight coefficient corresponding to each type of axle is calculated through proportional conversion to ensure that the weight coefficient can reflect the priority and proportion of different axles in the display.

[0115] In step 42 above, based on the weighting coefficients, the horizontal area of ​​the display screen is treated as a whole and divided according to the proportions of the steering axle weight, drive axle weight, and trailer load-bearing axle weight to obtain three main display areas, each corresponding to a type of axle. According to the number of tires of the axle type corresponding to each main display area, an equal number of rectangular sub-areas are divided within the main display area, and the width and height of all sub-areas are consistent to ensure that each tire has an independent and uniformly sized display space.

[0116] In step 43 above, based on the determined rectangular sub-region layout, tire position identifiers are extracted from the global tire database, and the database records corresponding to these identifiers are sorted according to the actual spatial distribution order of the vehicle (such as from the front to the rear of the vehicle, or from the left to the right). The sorted sensor IDs are then bound to the rectangular sub-regions of the corresponding axle type display area in sequence, that is, the first ID is bound to the first sub-region of the axle type display area, the second ID is bound to the second sub-region, and so on, to generate an initial mapping table and clarify the sensor ID corresponding to each sub-region.

[0117] In step 44 above, the binding records of each rectangular sub-region in the initial mapping table are traversed to check if there is a sub-region that is bound to multiple sensor IDs. If such a sub-region exists, it is identified as a conflict region, and all conflict regions together constitute a conflict region set.

[0118] In step 45 above, for each conflict area in the conflict area set, the receiving timestamps of all sensor IDs in that area are extracted from the database; these timestamps are compared, and the sensor ID with the latest time is selected as the valid binding ID for that sub-area, overwriting other older IDs; the overwritten old ID records are transferred to the abnormal log in the database; at the same time, due to the existence of overwritten ID records, multi-level alarm prompts are triggered: a warning icon is displayed on the corresponding sub-area of ​​the display screen to remind the driver to pay attention; an abnormal code is sent through the vehicle CAN bus to facilitate vehicle fault recording and diagnosis; the valid binding relationship determined after conflict handling is integrated with the binding relationship of the non-conflict areas to generate the final mapping table.

[0119] In step 46 above, based on the final mapping table, the display screen is refreshed to show the bound sensor ID and the tire pressure data monitored in real time by the sensor in each rectangular sub-area. When the global tire database is updated (e.g., a new sensor is added or replaced) or an alarm is received, the following operations are automatically performed in sequence: the distribution characteristics of the tire position identifiers are recalculated and new weight coefficients are calculated; the layout parameters of the display screen (e.g., the main display area ratio, the number of sub-areas) are dynamically adjusted according to the new weight coefficients; the mapping allocation between sensor IDs and display areas is re-executed to generate a new mapping table; conflict detection and processing are performed on the new mapping table to obtain the updated final mapping table; the display screen is refreshed again based on the updated final mapping table to ensure that the displayed content is consistent with the latest data and layout.

[0120] like Figure 2 As shown, embodiments of the present invention also provide an automatic identification system for TPMS sensor IDs of commercial vehicle trailers, including:

[0121] Establishment module for the truck head receiver to establish a point-to-point wireless communication link with the trailer repeater via Bluetooth Low Energy protocol;

[0122] The structured module is used for point-to-point wireless communication links. The tractor receiver generates a dynamic encryption key and embeds authentication instructions, which are then sent to the trailer repeater through an encrypted channel. The trailer repeater extracts the key and performs a similarity matching calculation with the local legitimate tractor registry. When the matching degree reaches a security threshold, the trailer repeater reads the sensor ID set and encapsulates it into a structured data packet.

[0123] The mapping module is used to verify and parse structured data packets, extract the set of trailer tire pressure sensor IDs; convert the set of IDs into a trailer tire ID-position mapping table; at the same time, convert the local tractor ID set into a tractor tire ID-position mapping table; perform database association and merging on the trailer tire ID-position mapping table and the tractor tire ID-position mapping table to generate a global tire database containing the binding relationship between the tire position identifiers and sensor IDs of all vehicles.

[0124] The dynamic configuration module is used by the front receiver to call the global tire database, dynamically configure the tire ID display area layout of the display screen according to the distribution characteristics of the tire position identifiers in the global tire database, and automatically assign each sensor ID to the display area corresponding to its mapped tire position identifier.

[0125] It should be noted that this system is a system corresponding to the above method. All implementation methods in the above method embodiments are applicable to this embodiment and can achieve the same technical effect.

[0126] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for automatic identification of a TPMS sensor ID of a commercial vehicle trailer, characterized in that The method comprises: Step 1, the vehicle head receiver establishes a point-to-point wireless communication link with the trailer repeater through the Bluetooth low energy protocol, comprising: The vehicle head receiver starts a Bluetooth low energy broadcast scan, periodically captures the repeater broadcast data packet within the communication range, and extracts the device type identifier in the data packet; The device type identifier is subjected to binary similarity calculation with the preset trailer repeater code library, and the candidate device set with a matching degree exceeding a dynamic threshold is screened as a primary screening result according to the calculation result; For the primary screening result, the received signal strength value of each device is measured; a stability index is generated by compensation calculation based on the signal attenuation characteristics; and a device set with an index greater than a stability threshold is screened as a secondary screening result; The secondary screening result is sorted in descending order of the stability index, and the highest bit device is selected as the target repeater, and a connection request containing an encrypted session parameter is sent to the target repeater; The encrypted response data packet returned by the target repeater is decrypted to extract an identity confirmation code, which is subjected to consistency verification with a pre-stored trailer device feature code, and a point-to-point wireless communication link is established after the verification is passed; Step 2, based on the point-to-point wireless communication link, the vehicle head receiver generates a dynamic encryption key and embeds an identity verification instruction, and sends it to the trailer repeater through an encrypted channel; the trailer repeater extracts the key and performs similarity matching calculation with the local legal vehicle head registration table; when the matching degree reaches a safety threshold, the trailer repeater reads the sensor ID set and encapsulates it as a structured data packet; Wherein, based on the point-to-point wireless communication link, the vehicle head receiver generates a dynamic encryption key and embeds an identity verification instruction, and sends it to the trailer repeater through an encrypted channel, comprising: Based on the point-to-point wireless communication link, the real-time clock signal of the vehicle head receiver is obtained as a first time source, and the device unique serial number is read as an identity source; the first time source and the identity source are spliced at the byte level to generate an original data block; a secure hash digest calculation is performed on the original data block to generate a fixed-length dynamic encryption key; The dynamic encryption key is embedded in the protocol payload field of the identity verification instruction to construct an encrypted verification instruction frame; the instruction frame is subjected to channel layer encryption processing through the advanced encryption standard algorithm to generate an encrypted transmission data block, which is transmitted to the trailer repeater; Step 3, the structured data packet is verified and parsed to extract the trailer tire pressure sensor ID set; the ID set is converted into a trailer tire ID-position mapping table; at the same time, the local vehicle head ID set is converted into a vehicle head tire ID-position mapping table; the trailer tire ID-position mapping table and the vehicle head tire ID-position mapping table are subjected to database association and are combined to generate a global tire database containing the binding relationship of the tire position identification and the sensor ID of the whole vehicle; Step 4, the vehicle head receiver calls the global tire database, dynamically configures the tire ID display area layout of the display screen according to the distribution characteristics of the tire position identification in the global tire database, and automatically assigns each sensor ID to the display area corresponding to the mapped tire position identification.

2. The commercial vehicle trailer TPMS sensor ID automatic identification method of claim 1, characterized by, The trailer repeater extracts the key and performs similarity matching calculation with the local legal vehicle head registration table; When the matching degree reaches the security threshold, the trailer repeater reads the sensor ID set and encapsulates it as a structured data packet, including: Based on the instructions received by the trailer repeater, the protocol payload field of the received instructions is parsed, and the dynamic encryption key is extracted as the verification object; taking the verification object as the input, the legal vehicle head device registration table entries stored in the local are traversed, the similarity matching calculation is performed to generate the matching degree score of each entry; when there is an entry matching degree score reaching the preset security threshold, a verification pass flag is generated; In response to the verification pass flag, the trailer tire pressure sensor ID set is read from the non-volatile memory as the original data set; the original data set is executed to generate an enhanced data set, that is, each sensor ID is attached to the corresponding physical tire position code and the cyclic redundancy check code is generated for each ID-position combination; taking the enhanced data set as the input, the encapsulation calculation is performed according to the data frame structure rule of the vehicle bus communication protocol, and a structured data packet is generated.

3. The commercial vehicle trailer TPMS sensor ID automatic identification method of claim 2, wherein, Step 3, check and parse the structured data packet, extract the trailer tire pressure sensor ID set; convert the ID set to a trailer tire ID-position mapping table; at the same time, convert the local vehicle head ID set to a vehicle head tire ID-position mapping table; perform database join operation on the trailer tire ID-position mapping table and the vehicle head tire ID-position mapping table, and generate a global tire database containing the binding relationship between the tire position identification and the sensor ID of the whole vehicle, including: The vehicle head receiver performs integrity check on the structured data packet, including: extracting the check code field in the structured data packet; recalculating the check value of the structured data packet payload; when the recalculated check value is consistent with the extracted check code field, it is determined as a valid data packet; Based on the valid data packet, the data packet is disassembled to obtain a field set according to the preset data structure rule; the trailer tire pressure sensor ID and its bound tire position identification are extracted from the field set; taking the extracted ID and position identification as the input, a trailer tire ID-position mapping table is generated; Based on the valid data packet, the vehicle head receiver reads the vehicle head tire pressure sensor ID set stored locally, and converts the ID set to a vehicle head tire ID-position mapping table; Perform a set operation on the trailer tire ID-position mapping table and the vehicle head tire ID-position mapping table; when there are duplicate IDs for the same position identification, the ID record of the trailer mapping table is preferentially retained; a global mapping table containing all tire position identifications and corresponding sensor IDs is generated; Based on the global mapping table, a global tire database is constructed, and the bidirectional binding relationship between the position identification and the index number is established by sequentially performing the allocation of a unique database index for each sensor ID.

4. The commercial vehicle trailer TPMS sensor ID automatic identification method of claim 3, characterized by, Step 4, the vehicle head receiver calls the global tire database, dynamically configures the tire ID display area layout of the display screen according to the distribution characteristics of the tire position identification in the global tire database, and automatically allocates each sensor ID to the display area corresponding to the mapped tire position identification, including: Call the global tire database, traverse all records to count the number of tires on the steering axle, drive axle and trailer axle; take the number of statistics as input, based on the weight coefficient of the axle type distribution calculation display; Based on the weight coefficient, the display screen horizontal area is divided into main display areas according to the proportion of the weight of the steering axle, the weight of the drive axle and the weight of the trailer axle, and each main display area is allocated an equal-width and equal-height rectangular sub-area equal to the corresponding axle type tire number; Based on the layout of the rectangular sub-area, the database records are sorted in the spatial order of the tire position identifier, and the sorted sensor ID is sequentially bound to the rectangular sub-area of the corresponding axle type display area to generate an initial mapping table; Traverse each rectangular sub-area binding record of the initial mapping table, identify the sub-area with multiple sensor IDs as the conflict area set; Extract the receiving time stamp of all sensor IDs in each conflict area from the conflict area set; select the ID with the latest time stamp as the effective binding; move the old ID record covered to the database exception log; in response to the covered ID record, trigger a multi-level alarm prompt, including displaying a warning icon in the corresponding sub-area of the display screen and sending an exception code through the vehicle CAN bus; integrate the conflict processing result and the binding relationship of the non-conflict area to generate a final mapping table.

5. The commercial vehicle trailer TPMS sensor ID automatic identification method of claim 4, characterized by, Step 4, the vehicle head receiver calls the global tire database, dynamically configures the tire ID display area layout of the display screen according to the distribution characteristics of the tire position identifier in the global tire database, and automatically allocates each sensor ID to the display area corresponding to the mapped tire position identifier, which also includes: Based on the final mapping table, refresh the display screen, render the bound sensor ID and its real-time monitoring data in each rectangular sub-area; when the global tire database is updated or an alarm prompt is received, automatically trigger the following sequence of operations: Statistical tire position identifier distribution characteristics and weight coefficient calculation; Dynamically configure the display screen layout parameters based on the weight coefficient; Execute sensor ID and display area mapping allocation to generate a new mapping table; Perform conflict detection and processing on the new mapping table to output an updated final mapping table; Based on the updated final mapping table, start the display refresh process.

6. A commercial vehicle trailer TPMS sensor ID automatic identification system, which implements the method according to any one of claims 1 to 5, characterized in that It includes: Establish a module for the vehicle head receiver to establish a point-to-point wireless communication link with the trailer repeater through the Bluetooth Low Energy protocol; The structured module is used to generate a dynamic encryption key by the vehicle head receiver based on the point-to-point wireless communication link and embed an identity verification instruction, which is sent to the trailer repeater through an encrypted channel; The trailer repeater extracts the key and performs a similarity matching calculation with the local legal vehicle head register; When the matching degree reaches the safety threshold, the trailer repeater reads the sensor ID set and encapsulates it as a structured data packet; The mapping module is used to verify and parse the structured data packet, extract the trailer tire pressure sensor ID set; convert the ID set to a trailer tire ID-position mapping table; at the same time, convert the local vehicle head ID set to a vehicle head tire ID-position mapping table; combine the trailer tire ID-position mapping table and the vehicle head tire ID-position mapping table to generate a global tire database containing the binding relationship of the tire position identifier and the sensor ID of the whole vehicle; The dynamic configuration module is configured to call the global tire database by the vehicle head receiver, dynamically configure the tire ID display area layout of the display screen according to the distribution characteristics of the tire position identification in the global tire database, and automatically assign each sensor ID to the corresponding display area of the tire position identification mapped by the sensor ID.

7. A computing device, comprising: The method comprises the following steps: one or more processors; a memory device for storing one or more programs, when the one or more programs are executed by the one or more processors, so that the one or more processors implement the method as claimed in any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a program, and the program is executed by the processor to implement the method as claimed in any one of claims 1 to 5.

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