Tire pressure monitoring data generation method and device, electronic equipment and storage medium

Abstract

The invention relates to the technical field of tire pressure monitoring, and discloses a tire pressure monitoring data generation method and device, electronic equipment and a storage medium. According to the tire pressure monitoring data generation method, the working state of a vehicle tire is recognized, tire state information is obtained, tire pressure monitoring parameters are determined based on the tire state information, and the tire pressure monitoring data are generated according to the tire pressure monitoring parameters. The method comprises the following steps: acquiring tire pressure monitoring parameters of a vehicle, determining a corresponding tire pressure monitoring communication strategy according to the tire pressure monitoring parameters, constructing a state conversion acquisition rule based on the tire pressure monitoring communication strategy, and acquiring operation parameters in the vehicle tire operation process in real time in the vehicle operation process according to the state conversion acquisition rule so as to obtain monitoring data; and packaging the monitoring data by using a preset data frame format to generate vehicle tire pressure monitoring data. According to the tire pressure monitoring data generation method, dynamic and accurate monitoring of the vehicle tire pressure state is achieved, monitoring accuracy, response speed and power consumption control are considered, and driving safety and practicability are effectively improved.

Description

Technical Field

[0001] The present application relates to the technical field of tire pressure monitoring, and in particular to a method, device, electronic device, and storage medium for generating tire pressure monitoring data. Background Art

[0002] With the increasing diversification of urban transportation options, electric scooters have gradually become a popular short-distance transportation tool due to their compact size, easy operation, moderate speed, and flexible travel. During the daily operation of electric scooters, tires, as key safety components, have a direct impact on vehicle stability and occupant safety. Especially during high-speed or long-term operation, abnormal conditions such as tire deflation can easily cause the vehicle to lose control, resulting in serious traffic accidents.

[0003] However, under existing technical conditions, most electric vehicles are not equipped with a dedicated tire pressure detection system. Due to the compact structure and small tire size of electric vehicles, their body systems usually do not have the radio frequency receiving modules required for tire pressure monitoring, and there is also a lack of sufficient space and power supply resources to support the deployment of traditional automotive-grade TPMS (Tire Pressure Monitoring System) equipment. At the same time, conventional tire pressure sensors mostly use radio frequency communication, which is large in size and high in power consumption, and are not suitable for retrofitting and modification of the lightweight platform of electric vehicles. In addition, the existing tire pressure monitoring solutions are mainly designed for automotive scenarios. Their collection strategies and communication mechanisms cannot be directly adapted to the lightweight platform where Bluetooth tire pressure sensors and mobile apps work together, and power consumption control and operating efficiency are not fully considered.

[0004] Therefore, how to dynamically adjust the sensor's working mode based on the vehicle's actual status to solve problems such as the lack of tire pressure monitoring capabilities, inability to identify tire status in real time, high sensor power consumption, and low communication efficiency of electric vehicles, optimize energy consumption management, prevent safety hazards caused by air leakage or abnormal tire pressure, and ensure user travel safety has become an important issue that needs to be urgently addressed. Summary of the Invention

[0005] In view of this, the embodiments of the present application provide a tire pressure monitoring data generation method, device, electronic device and storage medium, which can effectively solve one or more of the problems in the prior art, such as the inability of electric vehicles to identify tire status in real time, high sensor power consumption, and low communication efficiency.

[0006] In a first aspect, an embodiment of the present application provides a method applied to a monitoring device on a vehicle side, wherein the monitoring device includes a sensor module and a processing module, including:

[0007] Identify and process the working status of vehicle tires to obtain tire status information;

[0008] determining tire pressure monitoring parameters based on the tire status information, and determining corresponding tire pressure monitoring communication strategies according to the tire pressure monitoring parameters;

[0009] Based on the tire pressure monitoring communication strategy, constructing a state transition collection rule for the vehicle tire, and collecting operating parameters of the vehicle tire in real time during vehicle operation according to the state transition collection rule to obtain monitoring data;

[0010] The monitoring data is encapsulated using a preset data frame format to generate vehicle tire pressure monitoring data.

[0011] In some embodiments, the identifying and processing the working status of the vehicle tires to obtain tire status information includes:

[0012] Using the sensor module to collect tire pressure, speed and signal connection status of the vehicle tire to obtain original monitoring data;

[0013] The processing module is used to compare the raw monitoring data with preset state threshold information to obtain current tire state information; wherein the types of tire states include stationary state, start-up preparation state, continuous rotation state and leaking state.

[0014] In some embodiments, determining tire pressure monitoring parameters based on the tire status information, and determining corresponding tire pressure monitoring communication strategies according to the tire pressure monitoring parameters, includes:

[0015] Determining a collection frequency based on the tire status information to obtain tire pressure monitoring parameters;

[0016] Based on the tire pressure monitoring parameters, the communication cycle of the tire under different working conditions is set, and the corresponding tire pressure monitoring communication strategy is determined.

[0017] In some embodiments, constructing a state transition collection rule for the vehicle tire based on the tire pressure monitoring communication strategy, and collecting operating parameters of the vehicle tire in real time during vehicle operation according to the state transition collection rule to obtain monitoring data includes:

[0018] Based on the tire pressure monitoring communication strategy, the transition conditions of the vehicle tire under different working states are set to generate the state transition collection rules, wherein the state transition collection rules include a speed threshold, a continuous rotation time threshold, a tire pressure threshold, a temperature threshold, an accumulated air leakage threshold, and a signal connection state;

[0019] According to the state transition collection rule, the real-time speed, continuous rotation time, tire pressure, temperature, air leakage value and signal connection status of the vehicle tire in the current state are collected in real time as monitoring data.

[0020] In some embodiments, encapsulating the monitoring data in a preset data frame format to generate vehicle tire pressure monitoring data includes:

[0021] constructing a monitoring field set based on the real-time speed, the continuous rotation time, the tire pressure, the temperature, the air leakage value, and the signal connection status;

[0022] According to the preset data frame format, the synchronization header, field sequence and check bit are set, and the monitoring field set is filled into the corresponding field position to generate the vehicle tire pressure monitoring data.

[0023] In a second aspect, an embodiment of the present application provides a method, applied to a client, comprising:

[0024] Receiving vehicle tire pressure monitoring data sent by a monitoring device on the vehicle side, and performing parsing and verification processing on the vehicle tire pressure monitoring data to obtain valid monitoring data; wherein the vehicle tire pressure monitoring data is obtained using the tire pressure monitoring data generation method described in the first aspect above;

[0025] Extracting tire operating status information based on the effective monitoring data;

[0026] A health status analysis is performed based on the tire operating status information to obtain a tire health assessment result, which is then displayed on the client page.

[0027] In some embodiments, performing health status analysis based on the tire operating status information to obtain a tire health assessment result includes:

[0028] Extracting tire pressure variation and temperature fluctuation values from the tire operating status information to calculate tire health assessment parameters;

[0029] Comparing the tire health assessment parameter with a preset health assessment threshold to obtain a health diagnosis result;

[0030] Based on the health diagnosis result, a corresponding tire health assessment result is generated.

[0031] In a third aspect, an embodiment of the present application provides a vehicle tire pressure monitoring data generating device, comprising:

[0032] A state recognition module is used to identify the working state of the vehicle tires and obtain tire state information;

[0033] a strategy generation module, configured to determine tire pressure monitoring parameters based on the tire status information, and determine corresponding tire pressure monitoring communication strategies according to the tire pressure monitoring parameters;

[0034] a rule construction module for constructing a state transition collection rule for the vehicle tire based on the tire pressure monitoring communication strategy, and collecting operating parameters of the vehicle tire in real time during vehicle operation according to the state transition collection rule to obtain monitoring data;

[0035] The data generation module is used to encapsulate the monitoring data using a preset data frame format to generate vehicle tire pressure monitoring data.

[0036] In a fourth aspect, an embodiment of the present application provides an electronic device, comprising a processor and a memory, wherein the memory stores a computer program, and the processor is configured to execute the computer program to implement the tire pressure monitoring data generation method of the first and second aspects described above.

[0037] In a fifth aspect, an embodiment of the present application provides a computer-readable storage medium, and when the computer program is executed on a processor, the tire pressure monitoring data generation method of the first and second aspects mentioned above is implemented.

[0038] The embodiments of the present application have the following beneficial effects: The tire pressure monitoring data generation method provided by the present application can dynamically adjust the monitoring strategy based on the real-time operating status of the vehicle tire, and reasonably set the acquisition parameters and communication frequency under different working conditions, thereby achieving efficient and accurate tire monitoring. By constructing state transition acquisition rules, intelligent identification and switching of tire working conditions are achieved, and the timeliness and pertinence of data acquisition are improved. On this basis, the monitoring data is encapsulated in a preset data frame format, which improves the structural consistency and communication efficiency during data transmission. The method of the present application not only improves the accuracy and response speed of tire monitoring, but also effectively reduces power consumption, which helps to ensure the stability of vehicle operation and driving safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without creative work.

[0040] Figure 1 A flow chart of a method for generating tire pressure monitoring data according to an embodiment of the present application is shown;

[0041] Figure 2 A schematic diagram showing monitoring strategies corresponding to different tire status information in the tire pressure monitoring data generation method according to an embodiment of the present application is shown;

[0042] Figure 3A schematic diagram showing the rules for state transition in the tire pressure monitoring data generation method according to an embodiment of the present application is shown;

[0043] Figure 4 A schematic diagram showing the packaging format of monitoring data generated in the tire pressure monitoring data generation method according to an embodiment of the present application is shown;

[0044] Figure 5 Another flowchart of the tire pressure monitoring data generation method according to an embodiment of the present application is shown;

[0045] Figure 6 A structural schematic diagram of a tire pressure monitoring data generation method in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0046] The technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments.

[0047] The components of the embodiments of the present application generally described and illustrated in the drawings herein may be arranged and designed in a variety of different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the claimed application, but rather merely represents selected embodiments of the present application. All other embodiments obtained by those skilled in the art based on the embodiments of the present application without creative effort are within the scope of protection of the present application.

[0048] Hereinafter, the terms "including", "having" and their cognates used in various embodiments of the present application are intended only to indicate specific features, numbers, steps, operations, elements, components or combinations of the aforementioned items, and should not be understood as excluding the existence of one or more other features, numbers, steps, operations, elements, components or combinations of the aforementioned items or adding the possibility of one or more features, numbers, steps, operations, elements, components or combinations of the aforementioned items. In addition, the terms "first", "second", "third" and the like are only used to distinguish descriptions and should not be understood as indicating or implying relative importance.

[0049] Unless otherwise defined, all terms used herein (including technical and scientific terms) have the same meaning as commonly understood by those skilled in the art to which the various embodiments of the present application belong. The terms (such as those defined in generally used dictionaries) will be interpreted as having the same meaning as in the context of the relevant technical field and will not be interpreted as having an idealized meaning or an overly formal meaning unless clearly defined in the various embodiments of the present application.

[0050] The following describes some embodiments of the present application in detail with reference to the accompanying drawings. In the absence of conflict, the following embodiments and features in the embodiments may be combined with each other.

[0051] Taking into account the problems of existing technologies such as the lack of tire pressure monitoring capabilities of electric bicycles, the inability to identify tire status in real time, high sensor power consumption, and low communication efficiency, a tire pressure monitoring data generation method is proposed. The data acquisition and communication frequencies are dynamically adjusted according to the tire status, which reduces energy consumption while ensuring data integrity, improves monitoring accuracy and stability, and meets the needs of safe operation of electric bicycles.

[0052] The tire pressure monitoring data generation method is described below with reference to some specific embodiments.

[0053] Figure 1 A flowchart of a tire pressure monitoring data generation method according to an embodiment of the present application is shown. Exemplarily, the method is applied to a vehicle-side monitoring device, which includes a sensor module and a processing module. The tire pressure monitoring data generation method includes the following steps:

[0054] Step S100 , identifying the working status of the vehicle tires to obtain tire status information.

[0055] Among them, tire status information refers to identification data reflecting the current operating status of the vehicle tire, which is used to distinguish whether the tire is stationary, about to start, continuously running or leaking.

[0056] Specifically, to identify tire conditions, a vehicle-based monitoring device operates, consisting of at least a sensor module and a processing module. The sensor module collects raw environmental and tire status parameters, while the processing module analyzes and classifies the collected data, ultimately outputting accurate tire status identification results.

[0057] In an optional embodiment, step S100 includes the following sub-steps:

[0058] Step S101: Using a sensor module to collect tire pressure, speed, and signal connection status of the vehicle tires to obtain original monitoring data.

[0059] Among them, the original monitoring data refers to the basic status parameters detected and output in real time by the sensor module during the operation of the vehicle tire, covering multiple dimensions such as tire pressure, tire surface temperature, current wheel speed, and Bluetooth communication status.

[0060] Typically, the sensor module operates in Bluetooth low energy mode. When the tire is stationary, it wakes up every 10 minutes to monitor temperature, tire pressure, and speed. When the tire is in standby mode, it wakes up every 15 seconds to monitor temperature, tire pressure, and speed. When the tire is rotating, it wakes up every minute to monitor temperature, tire pressure, and speed. During monitoring, the module collects temperature, tire pressure, speed, and Bluetooth status values as raw monitoring data and transmits them to the processing module.

[0061] Step S102: Using a processing module, the original monitoring data is compared with preset status threshold information to obtain current tire status information.

[0062] State threshold information refers to pre-set multi-dimensional data judgment criteria used to map raw monitoring data into discrete tire operating state labels. This information typically includes parameters such as speed thresholds, rotation time thresholds, Bluetooth connection triggering rules, and tire pressure change rate thresholds.

[0063] Specifically, the processing module first receives raw monitoring data and compares it item by item with the status threshold information to obtain tire status information. Specifically, tire status information includes: stationary state, start-up preparation state, continuous rotation state, and leaking state. For example, if the tire speed is 0, Bluetooth is not connected, and there is no obvious movement for 10 consecutive minutes, it is judged to be stationary. If the speed is 0 but Bluetooth is connected and the signal strength is increasing, it is judged to be in the start-up preparation state. If the tire speed is continuously greater than 1 km / h and rotates for more than 2 minutes, it is judged to be in the continuous rotation state. If the tire pressure drops by more than 10 kPa in a short period of time, it is judged to be leaking.

[0064] Step S200 : determining tire pressure monitoring parameters based on tire status information, and determining corresponding tire pressure monitoring communication strategies according to the tire pressure monitoring parameters.

[0065] Tire pressure monitoring parameters are the data items used to control sensor acquisition behavior, such as tire pressure, temperature, and speed acquisition frequencies. Tire pressure monitoring communication strategies are the specific acquisition and communication rules generated from these monitoring parameters, guiding sensor behavior in different states, such as the acquisition and communication cycle settings. This step allows for the use of different monitoring parameters and communication strategies based on the tire's state, enabling efficient monitoring and acquisition of tire status.

[0066] In an optional embodiment, as Figure 2 As shown, step S200 includes the following sub-steps:

[0067] Step S201: Determine the acquisition frequency based on tire status information to obtain tire pressure monitoring parameters.

[0068] Among them, tire status information includes stationary state, starting preparation state, continuous rotation state and leakage state, which is used to distinguish the current operating situation of the electric vehicle and reflect whether the tire is stationary, ready to drive, driving or at risk of leakage.

[0069] Specifically, for different tire states, the tire pressure, speed, and Bluetooth connection information collected by the sensor module are combined with the status threshold to determine the current state, and the corresponding collection frequency is set accordingly. For example, when the tire is in a "stationary state," the tire pressure monitoring parameters are set to collect tire pressure, temperature, and speed every 10 minutes to ensure the necessary state perception capabilities under low power conditions. When in a "preparatory state," because the vehicle may be about to start, the collection frequency is increased to every 15 seconds. In a "rotating state," to track tire pressure changes during high-speed operation, the collection frequency is set to every 1 minute. If it is determined to be in a "leaking state," the collection frequency is set to every 1 second to enable a rapid response to sudden abnormalities.

[0070] Step S202 : Based on the tire pressure monitoring parameters, the communication cycles of the tires in different working states are set to determine the corresponding tire pressure monitoring communication strategies.

[0071] Among them, the communication cycle refers to the time interval for data transmission between the sensor and the client; the tire pressure monitoring communication strategy refers to the set of control rules stored by state classification in the cycle configuration, which is used to support dynamic data collection and power saving mode control.

[0072] Specifically, communication intervals are set synchronously for different states based on the acquisition frequency: For example, in the "Tire Stopped State," the communication cycle is indefinitely delayed, meaning no data is transmitted; in the "Tire Preparation State," data is transmitted immediately upon initial entry into this state, with a communication cycle of 30 seconds; in the "Continuous Rotation State," the communication cycle is 2 minutes; and in the "Leaking State," the communication cycle is 5 seconds. These differentiated settings ensure an optimal balance between battery consumption and data integrity under each operating state, thus forming a tire pressure monitoring communication strategy.

[0073] Step S300: Based on the tire pressure monitoring communication strategy, a state transition collection rule for the vehicle tire is constructed, and according to the state transition collection rule, the operating parameters of the vehicle tire during the vehicle operation are collected in real time to obtain monitoring data.

[0074] State transition collection rules refer to the triggering mechanisms and constraints for transitioning between different operating states of a vehicle's tires. These rules, developed based on a pre-set tire pressure monitoring communication strategy, control the timing and method of monitoring data collection. Specifically, these rules include tire pressure-related state determination indicators and their corresponding thresholds, such as speed threshold, continuous rotation time, accumulated air leakage, and signal connection status, ensuring that data collection actions are updated or triggered at key state transition points.

[0075] By constructing this state transition collection rule, continuous perception and intelligent judgment of the tire operating status can be achieved during vehicle operation, thereby improving the timeliness and pertinence of data collection, avoiding energy waste caused by redundant collection in low-sensitivity states, and ensuring real-time access to information in high-risk states.

[0076] In an optional embodiment, as Figure 3 As shown, step S300 includes the following sub-steps:

[0077] Step S301 : setting the transition conditions of the vehicle tires in different working states based on the tire pressure monitoring communication strategy, and generating state transition collection rules.

[0078] Transition conditions refer to a set of critical parameters used to determine whether the tire enters a new operating state. For example, transition conditions include switching from a stopped state to a ready state, from a ready state to a rotating state, from a rotating state to a ready state, and from a ready state to a stopped state. These parameters are closely related to the tire's operating conditions and form the basis for developing state transition collection rules. State transition collection rules include speed thresholds, continuous rotation time thresholds, tire pressure thresholds, accumulated air leakage thresholds, and signal connection status.

[0079] Specifically, based on the generated tire pressure monitoring communication strategy, boundary threshold conditions for each state are preset. For example, if the tire speed reaches 1 km / h or higher for more than 2 minutes and the Bluetooth connection signal is normal, the system switches from the stopped state to the tire preparation state. If the tire is detected to be in the parked state and the accumulated tire leakage exceeds 10 kPa, the system enters the leaking state. If the tire is continuously stopped for more than 5 minutes, the system automatically enters the tire preparation state. These conditions are written into the state transition collection rule table as configuration parameters for subsequent real-time matching and status updates.

[0080] Step S302 , according to the state transition collection rule, real-time speed, continuous rotation time, tire pressure, air leakage value and signal connection status of the vehicle tire in the current state are collected in real time as monitoring data.

[0081] Monitoring data refers to the set of parameters collected and uploaded in real time by sensors during vehicle operation, reflecting the current tire operating status and external environmental signals. The collection of this monitoring data is dynamically adjusted based on the driving logic of the state transition collection rules.

[0082] Specifically, the processing module determines whether the state transition conditions are met based on the pre-defined state transition collection rules and immediately triggers the corresponding data collection behavior when the conditions are met. For example, when a tire switches from a stationary state to a rotating state, high-frequency data collection of speed, rotation time, and tire pressure information is immediately initiated. If the tire remains in a leaking state, the frequency of tire pressure data collection is increased and the cumulative change is recorded. If an abnormal Bluetooth connection signal is detected, the system enters fault monitoring mode. In this mode, all monitoring data is repackaged and uploaded to the client with high priority for real-time processing in a subsequent step.

[0083] Step S400: Encapsulate the monitoring data using a preset data frame format to generate vehicle tire pressure monitoring data.

[0084] The data frame format refers to a fixed data structure template used to organize and transmit monitoring data. It typically includes a synchronization field, a payload field, and a checksum field to ensure the integrity of the data structure, consistent field order, and correct identification and interpretation of the data content by the receiver. Vehicle tire pressure monitoring data refers to multiple status parameters collected during tire operation, formatted and encapsulated to form standardized data records for subsequent remote transmission and client parsing.

[0085] Specifically, the dynamically collected monitoring data is organized into a structured data frame format to ensure effective identification and verification during subsequent data transmission. It also facilitates the client to quickly locate each parameter field, improving parsing efficiency and data stability.

[0086] In an optional embodiment, step S400 includes the following sub-steps:

[0087] Step S401: construct a monitoring field set based on real-time speed, continuous rotation time, tire pressure, air leakage value and signal connection status.

[0088] The monitoring field set is a group of encapsulated fields extracted from the raw monitoring data by functional classification, forming the main content of the final data frame. This set includes key operating indicators such as rotation time, tire pressure, air leakage value, and signal connection status, which are used to fully express the current operating status of the tire and the working condition of the monitoring equipment.

[0089] Specifically, multiple parameter fields are extracted from the collected monitoring data. For example, the current tire pressure and temperature values are extracted to reflect the current tire pressure safety status; tire rotation speed is extracted to assist in status judgment; signal connection status and device remaining battery value are extracted to reflect sensor operating capabilities and data stability. After standardization, these fields are included in the monitoring field set, providing the original information source for subsequent data frame construction.

[0090] Step S402 : According to a preset data frame format, a synchronization header, a field sequence, and a check bit are set, and a monitoring field set is filled into corresponding field positions to generate a vehicle tire pressure monitoring data frame.

[0091] Among them, the synchronization header refers to a special field that identifies the starting position of the data frame, which is used by the communication receiving end to quickly locate the frame header; the field sequence defines the arrangement order of each monitoring field in the data frame; and the check bit is used to verify the content consistency during data transmission to ensure accurate data reception.

[0092] Specifically, if Figure 4 As shown in the figure, according to the preset template format, a fixed synchronization header (such as 0xAA55, field position 1) is set for the current data frame and the frame structure is initialized. Then, according to the field arrangement convention, the extracted monitoring field set is sequentially filled into the corresponding field positions: for example, the sensor ID is filled into the second field position, the air pressure into the third field position, the temperature value into the fourth field position, and so on. After filling, a check bit (such as a CRC check or XOR check) is generated and added based on the content, ultimately outputting a complete and uniformly formatted data frame structure.

[0093] Figure 5 A flow chart of a method for generating tire pressure monitoring data according to an embodiment of the present application is shown. For example, the method is applied to a client and includes the following steps:

[0094] Step S500: receiving the vehicle tire pressure monitoring data sent by the vehicle end, performing analysis and verification processing on the vehicle tire pressure monitoring data to obtain valid monitoring data.

[0095] Tire pressure monitoring data refers to monitoring data dynamically collected by vehicle-side monitoring devices based on tire status information, monitoring parameters, and state transition collection rules. It is encapsulated in a preset data frame format and ensures integrity, timeliness, and parsability. Valid monitoring data refers to monitoring information that has a complete structure, complete fields, and valid values after parsing and verification, forming the input basis for subsequent status analysis and health assessment.

[0096] Exemplarily, the client first receives the data frame sent by the vehicle and performs de-framing, including synchronization header recognition, field extraction, and check bit verification. After verification, the valid monitoring field set is parsed. For example, the synchronization header is used to align and parse the data after receiving the data frame; the sensor ID is used to identify the sensor data frame; the tire pressure is used to indicate the current tire pressure value; the temperature is used to indicate the current tire temperature value; the speed is used to indicate the current detected tire speed value; the battery is used to indicate the current sensor battery value; the status word is used to identify the current mode state; and the check bit is used to verify the byte content of the data correctness.

[0097] Step S600: Extract tire operating status information based on valid monitoring data, perform health status analysis based on the tire operating status information, obtain tire health assessment results, and display them on the client page.

[0098] Subsequently, key status fields related to tire operation are extracted from the valid monitoring data, including current tire pressure, temperature, speed, and communication status, to construct tire operating status information. Furthermore, tire health analysis is performed based on this status information to assess whether the current tire pressure system is within a normal and safe operating range. This information is then displayed in graphical or text form on the client interface to assist the driver in real-time perception of tire health.

[0099] In an optional embodiment, tire pressure variation and temperature fluctuation values are extracted from tire operating status information to calculate tire health assessment parameters.

[0100] Tire pressure variation refers to the maximum change in tire pressure within a specific time interval, while temperature fluctuation refers to the average fluctuation in tire temperature over time. These two parameters serve as evaluation parameters to determine whether a tire is experiencing potential hazards such as deflation, overheating, or structural damage.

[0101] Specifically, based on continuously received valid monitoring data, multiple tire pressure and temperature sample sequences are extracted within a set time window. The tire pressure change and temperature fluctuation values within the current time period are calculated through difference and sliding variance calculations, respectively. These two indicators constitute the tire health assessment parameters, which are used to quantitatively evaluate the stability and safety of the tire's current operating status.

[0102] Compare the tire health assessment parameters with the preset health assessment thresholds to obtain health diagnosis results.

[0103] The health assessment threshold is a critical range pre-determined based on extensive experimental data and empirical knowledge, used to distinguish between healthy and abnormal tire conditions. The health diagnosis result, generated from this comparison process, indicates whether the tire meets healthy operating standards. Status types can range from "normal," "warning," to "abnormal," and so on.

[0104] Specifically, the system compares the current tire's assessment parameters with their corresponding health thresholds. If both the tire pressure change and temperature fluctuation are within the normal range, a "normal" result is output. If either parameter approaches a critical value, a "warning" signal is displayed. If a parameter significantly deviates from the normal range, an "abnormal" signal is displayed. This dynamic indicator comparison effectively improves the tire pressure monitoring system's sensitivity to potential tire failures.

[0105] Based on the health diagnosis results, the corresponding tire health assessment results are generated.

[0106] The tire health assessment result is a comprehensive status conclusion generated by the client, which is used to prompt the user of the current tire health level, recommended inspection items or maintenance suggestions.

[0107] Specifically, a standardized assessment report is generated based on the type of health diagnosis result and displayed on the vehicle's central control screen, the owner's mobile app, or a remote cloud platform. The assessment results can be accompanied by time tags, trend charts, and recommended text to enhance the user's intuitive understanding of tire health and emergency response capabilities.

[0108] Figure 6 A schematic diagram of the structure of a vehicle tire pressure monitoring data generating device according to an embodiment of the present application is shown. Exemplarily, the vehicle tire pressure monitoring data generating device 100 includes:

[0109] The state recognition module 110 is used to identify the working state of the vehicle tires and obtain tire state information;

[0110] a strategy generating module 120 for determining tire pressure monitoring parameters based on the tire status information, and determining corresponding tire pressure monitoring communication strategies according to the tire pressure monitoring parameters;

[0111] a rule construction module 130 for constructing a state transition collection rule for the vehicle tire based on the tire pressure monitoring communication strategy, and collecting operating parameters of the vehicle tire in real time during vehicle operation according to the state transition collection rule to obtain monitoring data;

[0112] The data generation module 140 is used to encapsulate the monitoring data using a preset data frame format to generate vehicle tire pressure monitoring data.

[0113] It can be understood that the apparatus of this embodiment corresponds to the method of the above embodiment, and the options in the above embodiment are also applicable to this embodiment, so they will not be described again here.

[0114] The present application also provides an electronic device, such as an electric vehicle, an electric vehicle, etc. Exemplarily, the electronic device includes a processor and a memory, wherein the memory stores a computer program, and the processor runs the computer program to enable the electronic device to execute the functions of each module in the above method or the above device.

[0115] Among them, the processor can be an integrated circuit chip with signal processing capabilities. The processor can be a general-purpose processor, including a central processing unit (CPU), a graphics processing unit (GPU) and a network processor (NP), a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or at least one of other programmable logic devices, discrete gate or transistor logic devices, and discrete hardware components. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc., which can implement or execute the disclosed methods, steps and logic block diagrams in the embodiments of the present application.

[0116] The memory may be, but is not limited to, a random access memory (RAM), a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), etc. The memory is used to store a computer program, and the processor may execute the computer program accordingly after receiving an execution instruction.

[0117] The present application also provides a computer-readable storage medium for storing the computer program used in the electronic device. For example, the computer-readable storage medium may include, but is not limited to, various media capable of storing program code, such as a USB flash drive, a mobile hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0118] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can also be implemented in other ways. The device embodiments described above are merely schematic. For example, the flowcharts and structure diagrams in the accompanying drawings show the possible architectures, functions and operations of the devices, methods and computer program products according to the multiple embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of the code, and the module, program segment or a part of the code contains one or more executable instructions for implementing the specified logical functions. It should also be noted that in an alternative implementation, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the structure diagram and / or flowchart, and the combination of boxes in the structure diagram and / or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or action, or can be implemented using a combination of dedicated hardware and computer instructions.

[0119] In addition, the functional modules or units in the various embodiments of the present application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0120] If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling a computer device (which can be a smart phone, personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application.

[0121] The above is only a specific implementation method of the present application, but the scope of protection of the present application is not limited thereto. Any technician familiar with this technical field can easily think of changes or replacements within the technical scope disclosed in this application, which should be covered by the scope of protection of the present application.

Claims

1. A method for generating tire pressure monitoring data, characterized in that: A monitoring device applied to a vehicle includes a sensor module and a processing module, and the method includes: Identify and process the working status of vehicle tires to obtain tire status information; determining tire pressure monitoring parameters based on the tire status information, and determining corresponding tire pressure monitoring communication strategies according to the tire pressure monitoring parameters; Based on the tire pressure monitoring communication strategy, constructing a state transition collection rule for the vehicle tire, and collecting operating parameters of the vehicle tire in real time during vehicle operation according to the state transition collection rule to obtain monitoring data; The monitoring data is encapsulated using a preset data frame format to generate vehicle tire pressure monitoring data.

2. The tire pressure monitoring data generation method according to claim 1, characterized in that: The identifying and processing of the working state of the vehicle tire to obtain tire state information includes: Using the sensor module to collect tire pressure, speed and signal connection status of the vehicle tire to obtain original monitoring data; The processing module is used to compare the raw monitoring data with preset state threshold information to obtain current tire state information; wherein the types of tire states include stationary state, start-up preparation state, continuous rotation state and leaking state.

3. The tire pressure monitoring data generation method according to claim 1, characterized in that: The determining of tire pressure monitoring parameters based on the tire status information, and determining corresponding tire pressure monitoring communication strategies according to the tire pressure monitoring parameters, includes: Determining a collection frequency based on the tire status information to obtain tire pressure monitoring parameters; Based on the tire pressure monitoring parameters, the communication cycle of the tire under different working conditions is set, and the corresponding tire pressure monitoring communication strategy is determined.

4. The tire pressure monitoring data generation method according to claim 1, characterized in that: The tire pressure monitoring communication strategy is based on the tire pressure monitoring communication strategy, and the tire state transition collection rule is constructed. According to the tire state transition collection rule, the operating parameters of the tire are collected in real time during the operation of the vehicle to obtain monitoring data, including: Based on the tire pressure monitoring communication strategy, the transition conditions of the vehicle tire under different working states are set to generate the state transition collection rules, wherein the state transition collection rules include a speed threshold, a continuous rotation time threshold, a tire pressure threshold, a temperature threshold, an accumulated air leakage threshold, and a signal connection state; According to the state transition collection rule, the real-time speed, continuous rotation time, tire pressure, temperature, air leakage value and signal connection status of the vehicle tire in the current state are collected in real time as monitoring data.

5. The tire pressure monitoring data generation method according to claim 4, characterized in that: The method of encapsulating the monitoring data in a preset data frame format to generate vehicle tire pressure monitoring data includes: constructing a monitoring field set based on the real-time speed, the continuous rotation time, the tire pressure, the temperature, the air leakage value, and the signal connection status; According to the preset data frame format, the synchronization header, field sequence and check bit are set, and the monitoring field set is filled into the corresponding field position to generate the vehicle tire pressure monitoring data.

6. A tire pressure monitoring data generation method, characterized in that: Applied to a client, the method includes: Receiving vehicle tire pressure monitoring data sent by a monitoring device on a vehicle side, and performing parsing and verification processing on the vehicle tire pressure monitoring data to obtain valid monitoring data; wherein the vehicle tire pressure monitoring data is obtained using the tire pressure monitoring data generation method according to any one of claims 1 to 5; Extracting tire operating status information based on the effective monitoring data; A health status analysis is performed based on the tire operating status information to obtain a tire health assessment result, which is then displayed on the client page.

7. The tire pressure monitoring data generating method according to claim 6, characterized in that: The step of performing health status analysis based on the tire operating status information to obtain a tire health assessment result includes: Extracting tire pressure variation and temperature fluctuation values from the tire operating status information to calculate tire health assessment parameters; Comparing the tire health assessment parameter with a preset health assessment threshold to obtain a health diagnosis result; Based on the health diagnosis result, a corresponding tire health assessment result is generated.

8. A vehicle tire pressure monitoring data generating device, characterized in that: include: A state recognition module is used to identify the working state of the vehicle tires and obtain tire state information; a strategy generation module, configured to determine tire pressure monitoring parameters based on the tire status information, and determine corresponding tire pressure monitoring communication strategies according to the tire pressure monitoring parameters; a rule construction module for constructing a state transition collection rule for the vehicle tire based on the tire pressure monitoring communication strategy, and collecting operating parameters of the vehicle tire in real time during vehicle operation according to the state transition collection rule to obtain monitoring data; The data generation module is used to encapsulate the monitoring data using a preset data frame format to generate vehicle tire pressure monitoring data.

9. An electronic device, characterized in that: The electronic device includes a processor and a memory, the memory stores a computer program, and the processor is configured to execute the computer program to implement the tire pressure monitoring data generating method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that The device stores a computer program, which, when executed on a processor, implements the tire pressure monitoring data generating method according to any one of claims 1 to 7.

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