Vehicle safety management terminal based on gyroscope sensor
By using a vehicle safety management terminal based on gyroscope sensors, the vehicle type and load status are identified, and safety parameters are dynamically adjusted. This solves the problem of traditional vehicle safety management being unable to accurately match vehicle differences and load changes, and achieves efficient and scientific safety management.
Patent Information
- Application Number
- CN202511110502.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-08
- Publication Date
- 2025-11-18
AI Technical Summary
Traditional vehicle safety management methods use a uniform standard, which cannot accurately match the differences between different types of vehicles and fails to dynamically adjust safety operating parameters according to load conditions, thus increasing the safety risks of vehicle operation.
The vehicle safety management terminal based on gyroscope sensors identifies vehicle type, obtains standard safe operating parameters, sets parameter deviation threshold ranges, adjusts parameter weights according to load status, constructs dynamic coupling relationships, and evaluates vehicle safety status in real time.
It enables personalized safety management, accurately matches vehicle characteristics, adapts to load changes, and conducts comprehensive multi-parameter analysis and real-time evaluation, thereby improving the efficiency and scientific nature of vehicle safety management and preventing safety hazards.
Smart Images

Figure CN120974111A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of vehicle safety management, and particularly relates to a vehicle safety management terminal based on a gyroscope sensor. BACKGROUND
[0002] Traditional vehicle safety management methods mostly adopt a unified standard mode, that is, a unified safety standard and operation parameter are used for different types of vehicles. However, different types of vehicles, such as cars, trucks, and buses, have significant differences in design structure, performance characteristics, and purposes. For example, trucks usually have larger body sizes and higher load capacities, and their braking distances and steering flexibility are quite different from those of cars; buses pay more attention to passenger comfort and safety, and have special requirements for body stability and emergency evacuation design. The unified safety standard cannot fully consider these differences, resulting in overly lenient safety management for some vehicles and overly strict safety management for others, making it difficult to achieve precise safety control and increasing the safety risk of vehicle operation.
[0003] Secondly, the load state of a vehicle has an important influence on its running performance and safety condition. With the increase of load, the braking performance of the vehicle will decrease, and the friction between the tire and the ground will also change, thereby affecting the controllability and stability of the vehicle. Traditional vehicle safety management methods often ignore this key factor and are difficult to dynamically adjust the safety operation parameters according to the actual load of the vehicle.
[0004] Therefore, it is necessary to provide a vehicle safety management terminal based on a gyroscope sensor to solve the above technical problems. SUMMARY
[0005] To solve the above technical problems, the present application provides a vehicle safety management terminal based on a gyroscope sensor to solve the problem that traditional vehicle safety management methods adopt a unified standard mode, making it difficult to achieve precise safety control and difficult to dynamically adjust safety operation parameters according to the actual load of the vehicle.
[0006] The vehicle safety management terminal based on a gyroscope sensor provided by the present application comprises: an identification and extraction module, configured to identify the current vehicle type and extract the standard safety operation parameters of the current vehicle type from a pre-constructed vehicle type safety database, wherein the safety operation parameters include angle change, angular velocity, and acceleration; a parameter definition module, configured to set the deviation threshold sections of different parameters in the safety operation parameters based on the standard safety operation parameters of the current vehicle type, and set the weights of different parameters in the safety operation parameters based on the load state of the vehicle; The correlation analysis module is configured to acquire historical safe operation parameters of the vehicle, and analyze the correlation degrees of different parameters in the safe operation parameters by using a correlation analysis method, so as to construct a dynamic coupling relationship. The data recognition module is configured to acquire, by using a gyroscope sensor, a safe operation parameter of the current vehicle in real time, recognize a load state of the current vehicle, and automatically adjust the weights of different parameters in the safe operation parameters according to the load state, wherein the load state includes an empty load, a half load and a full load. The analysis and calculation module is configured to calculate a real-time coupling value according to the safe operation parameter of the current vehicle based on the weights of different parameters corresponding to the load state of the current vehicle and the constructed dynamic coupling relationship. The evaluation and feedback module is configured to evaluate the safety state of the current vehicle based on the calculated real-time coupling value.
[0007] Preferably, the current vehicle type is recognized, and the standard safe operation parameters of the current vehicle type are extracted from a pre-constructed vehicle type safety database, and the specific steps are as follows: The type of the current vehicle is recognized by reading the vehicle model information through a vehicle identification code or through a vehicle-mounted communication module. Based on the recognized vehicle type, a vehicle type safety database pre-constructed and stored locally or in the cloud is accessed, wherein the standard safe operation parameters of each type of vehicle under normal working conditions are stored in the vehicle type safety database. The standard safe operation parameters corresponding to the current vehicle type are extracted from the database, including the angle change, the angular velocity and the acceleration.
[0008] Preferably, based on the standard safe operation parameters of the current vehicle type, the deviation threshold sections of different parameters in the safe operation parameters are set respectively, and the weights of different parameters in the safe operation parameters are set based on the load state of the vehicle, and the specific steps are as follows: The deviation threshold sections are divided according to the extracted standard safe operation parameters corresponding to the current vehicle type. According to the three different load states of the vehicle, the weights of the angle change, the angular velocity and the acceleration are set respectively, specifically: in the full load state, the parameters with high weights are set to include the acceleration and the angle change; in the empty load state, the parameter with high weight is set to include the angular velocity; and in the half load state, the weights of the angle change, the angular velocity and the acceleration are equal.
[0009] Preferably, the historical safe operation parameters of the vehicle are acquired, and the correlation degrees of different parameters in the safe operation parameters are analyzed by using a correlation analysis method, so as to construct a dynamic coupling relationship, and the specific steps are as follows: Obtaining vehicle historical safety operation parameters, using correlation analysis method, calculating correlation coefficients among angle change, angular velocity and acceleration, determining the correlation degree among them, to obtain correlation analysis results; Based on the correlation analysis results, a dynamic coupling relationship is constructed, wherein the calculation formula of the dynamic coupling relationship specifically comprises: Wherein, Σ is the coupling value, , and are the numerical value of the angle change, the numerical value of the angular velocity and the numerical value of the acceleration respectively.
[0010] Preferably, the safety operation parameters of the current vehicle are collected in real time by the gyroscope sensor, the load state of the current vehicle is identified, and the weights of different parameters in the safety operation parameters are automatically adjusted according to the load state. The specific steps are as follows: Using the gyroscope sensor, the angle change, angular velocity and acceleration of the current vehicle are collected in real time according to the set sampling frequency, and the angle change, angular velocity and acceleration of the current vehicle are filtered to eliminate vibration noise; The load data of the current vehicle is collected in real time by the pressure sensor, and the load state of the current vehicle is judged in real time by the pre-set load judgment standard value, and the specific load state of the current vehicle in the empty load, half load or full load is determined.
[0011] Preferably, based on the different weights of the parameters corresponding to the load state of the current vehicle, the dynamic coupling relationship is constructed, and the real-time coupling value is calculated according to the safety operation parameters of the current vehicle. The specific steps are as follows: According to the identified load state of the current vehicle, the weight values of the angle change, angular velocity and acceleration of the three parameters under the current load state are identified from the parameter weights corresponding to the different load states; The angle change, angular velocity and acceleration parameters of the current vehicle collected in real time are weighted by the weight values of the angle change, angular velocity and acceleration of the three parameters under the current load state, and then the real-time coupling value of the current vehicle is calculated according to the formula in the constructed dynamic coupling relationship.
[0012] Preferably, based on the calculated real-time coupling value, the safety state of the current vehicle is evaluated, and the specific steps are as follows: According to the vehicle type and operation condition, the safety evaluation standard is pre-set, including setting the coupling value section corresponding to different safety levels; wherein the safety levels include normal, warning and danger; The calculated real-time coupling value is compared with a preset safety evaluation standard, the real-time coupling value of the current vehicle is judged to belong to which coupling value section, and the safety level of the current vehicle is determined. According to the determined safety level of the current vehicle, the safety state information of the current vehicle is displayed to the driver through a display device on the vehicle, and a corresponding safety report is generated.
[0013] Compared with the related art, the vehicle safety management terminal based on a gyroscope sensor has the following beneficial effects: The application extracts corresponding standard safety operation parameters by identifying the vehicle type, and sets the parameter weight based on the load state, realizes personalized safety management, accurately matches the vehicle characteristics and adapts to the load change, comprehensively and accurately masters the real-time running state of the vehicle through multi-parameter comprehensive analysis and consideration of parameter correlation to construct a dynamic coupling relationship, combined with real-time data acquisition and dynamic evaluation, sets a deviation threshold section to early warn and prevent safety hazards, and forms a systematic management process through data-driven decision-making, effectively improves the efficiency and decision-making scientificity of vehicle safety management, provides strong support for ensuring the safe operation of vehicles, and improves the management efficiency and decision-making scientificity. BRIEF DESCRIPTION OF DRAWINGS
[0014] Figure 1 The application is a module structure diagram of a vehicle safety management terminal based on a gyroscope sensor. DETAILED DESCRIPTION
[0015] The application will be further described below in combination with the drawings and embodiments.
[0016] Embodiment one As shown in the drawings, a vehicle safety management terminal based on a gyroscope sensor specifically comprises: Figure 1 In the specific implementation process, the specific steps of the identification and extraction module are: The vehicle type is identified by reading the vehicle model information automatically through the vehicle identification code or through the vehicle-mounted communication module, the vehicle type safety database pre-constructed and stored locally or in the cloud is accessed based on the identified vehicle type, the standard safety operation parameters of each type of vehicle in the normal working condition in the vehicle type safety database, the standard safety operation parameters corresponding to the current vehicle type are extracted from the database, including the angle change, the angular velocity and the acceleration.
[0017] Specifically, the vehicle identification code is obtained from the vehicle registration information, which contains detailed information of the vehicle, such as the manufacturer, production year, vehicle model, etc., from which the type of the vehicle can be determined. After identifying the type of the vehicle, the storage location of the vehicle type safety database is determined according to the pre-configured information. If the database is stored locally, the specific folder or database file on the local storage device is directly accessed; if the database is stored in the cloud, an access request is sent to the cloud server through a network connection such as Wi-Fi, 4G / 5G mobile network, etc. After accessing the database, the identified vehicle type is used as the query key to perform an accurate query in the vehicle type safety database. The vehicle type safety database retrieves the standard safety operation parameter records corresponding to the vehicle type according to the query condition and extracts the standard safety operation parameters. It should be noted that the vehicle type safety database is a database constructed according to the standard safety operation parameters of existing vehicles of various types.
[0018] In the specific implementation process, the specific steps of the parameter definition module are as follows: According to the extracted standard safety operation parameters corresponding to the current vehicle type, the deviation threshold section is divided; according to the three different load states of the vehicle, i.e. empty load, half load and full load, the weights of angle change, angular velocity and acceleration are set respectively. Specifically, in the full load state, the parameters with high weight are set to include acceleration and angle change; in the empty load state, the parameter with high weight is set to include angular velocity; in the half load state, the weights of angle change, angular velocity and acceleration are equal.
[0019] Specifically, after obtaining the standard safety operation parameters corresponding to the current vehicle type, including angle change, angular velocity and acceleration, etc., these parameters are first sorted to determine the standard value range of each parameter. In this embodiment, the deviation threshold section is divided into normal section, slight deviation section, moderate deviation section and severe deviation section. For example, for the angle change parameter, if its standard range is -5° to 5°, the normal section is -2° to 2°, the slight deviation section is -3° to -2° and 2° to 3°, the moderate deviation section is -4° to -3° and 3° to 4°, and the severe deviation section is less than -4° or greater than 4°. The angular velocity and acceleration are also specifically divided in the same way.
[0020] In this embodiment, in the full load state, the acceleration weight is set to 0.4 and the angle change weight is set to 0.4, so the angular velocity weight is 0.2; in the empty load state, the angular velocity weight is set to 0.5, the angle change weight is set to 0.3, and the acceleration weight is set to 0.2; in the half load state, since the three parameters have relatively balanced influence, the weights of angle change, angular velocity and acceleration are all set to 1 / 3. It should be noted that the sum of the weights of all parameters is 1.
[0021] In the implementation process, the specific steps of the correlation analysis module are: Obtain the vehicle historical safety operation parameters, calculate the correlation coefficients between the angle change, angular velocity and acceleration by using the correlation analysis method, determine the correlation degree between them, and obtain the correlation analysis result; based on the correlation analysis result, a dynamic coupling relationship is constructed, wherein the calculation formula of the dynamic coupling relationship specifically includes: coupling value Σ= .
[0022] Specifically, the linear relationship between the parameters, i.e. the correlation coefficient, is calculated by using the Pearson correlation coefficient in the correlation analysis method, wherein the value range of the correlation coefficient is between-1 and 1. When the correlation coefficient is close to 1, it indicates that the two variables are positively correlated to a high degree; when it is close to-1, it indicates that the negative correlation degree is high; when it is close to 0, it indicates that there is almost no linear relationship between the two variables. According to the calculated correlation coefficient, the correlation degree between the angle change, angular velocity and acceleration is determined, and the correlation analysis result is recorded. In the calculation formula of the dynamic coupling relationship, the coupling value Σ is an index for comprehensively measuring the state of the vehicle safety operation parameters, which =comprehensively considers the numerical values of the angle change, angular velocity and acceleration, and through the calculation of the square root of the square sum of the three parameters, the parameters of different dimensions are unified into a comprehensive index, which reflects the dynamic characteristics of the overall operation of the vehicle.
[0023] In the implementation process, the specific steps of the data recognition module are: The angle change, angular velocity and acceleration of the current vehicle are collected in real time according to the set sampling frequency by using the gyroscope sensor, and the angle change, angular velocity and acceleration of the current vehicle are filtered to eliminate vibration noise. The load data of the current vehicle is collected in real time by using the pressure sensor, and the load state of the current vehicle is judged in real time by using the pre-set load judgment standard value, so as to determine the specific load state of the current vehicle in the empty load, half load or full load.
[0024] Specifically, in order to accurately capture the dynamic changes of the vehicle during driving, in the embodiment, the sampling frequency is set to be between 100Hz-500Hz, and for example, for a common car driving on urban roads, since the road conditions are relatively good, the dynamic changes of the vehicle are relatively gentle, and the sampling frequency is set to be 200Hz, so that sufficient data can be collected to reflect the running state of the vehicle, and the data volume will not be too large due to too high sampling frequency. For the vehicle driving in complex road conditions (such as mountainous areas, off-road sections), since the vehicle will experience more severe bumps and turns, the dynamic changes are more frequent and complex, and the sampling frequency is appropriately increased to 400Hz-500Hz. The gyroscope sensor generally has three axial (X-axis, Y-axis, Z-axis) measurement capabilities, respectively corresponding to the angle change, angular velocity and acceleration of the vehicle in three different directions. When collecting data, the sensor will continuously output the measurement values of the three axes according to the set sampling frequency. Since the vehicle will be disturbed by various vibration noises during driving, such as engine vibration, vibration caused by uneven road surface, etc., the collected angle change, angular velocity and acceleration need to be filtered, and in the embodiment, the filtering is performed by a low-pass filter. Real-time receive pressure data transmitted by the pressure sensor, and convert these data into corresponding load values. Then, compare the converted load values with the pre-set load judgment standard values, wherein the pressure sensor will continuously collect pressure data generated by the vehicle load. The setting of the load judgment standard value needs to be based on the type of the vehicle, and for example, for a truck with a rated load of 10 tons, the empty state is: when the pressure data collected by the pressure sensor corresponds to a load of less than 1 ton, it is determined that the vehicle is in an empty state; the half-loaded state is: when the pressure data collected by the pressure sensor corresponds to a load of 1-5 tons, it is determined that the vehicle is in a half-loaded state; the full load state is: when the pressure data collected by the pressure sensor corresponds to a load of greater than or equal to 5 tons and less than or equal to 10 tons, it is determined that the vehicle is in a full load state.
[0025] In the specific implementation process, the specific steps of the analysis and calculation module are: According to the identified load state of the current vehicle, the weight values of the angle change, angular velocity and acceleration of the three parameters in the current load state are identified from the parameter weights corresponding to different load states set; the real-time collected angle change, angular velocity and acceleration parameters of the current vehicle are weighted by the weight values of the angle change, angular velocity and acceleration of the three parameters in the current load state, and then the real-time coupling value of the current vehicle is calculated according to the formula in the constructed dynamic coupling relationship.
[0026] Specifically, according to the identified weight values of the three parameters under the current load state, the angle change, the angular velocity and the acceleration parameters collected in real time are weighted, and the calculation formula of the weighted processing is: the weighted angle change value α' = α × angle change weight; the weighted angular velocity value ω' = ω × angular velocity weight; the weighted acceleration value a' = a × acceleration weight. For example, the current vehicle is in a full load state, the angle change weight is 0.4, the angular velocity weight is 0.2, and the acceleration weight is 0.4. Then the weighted angle change value α' = 2° × 0.4 = 0.8°; the weighted angular velocity value ω' = 5° / s × 0.2 = 1° / s; the weighted acceleration value a' = 0.5m / s² × 0.4 = 0.2m / s². After the weighted processing, the weighted parameter value needs to be substituted into the formula to calculate the real-time coupling value, and the formula at this time becomes: real-time coupling value Σ' = √(α'² + ω'² + a'²).
[0027] In the specific implementation process, the specific steps of the evaluation feedback module are: According to the vehicle type and the running condition, the safety evaluation standard is set in advance, including setting the coupling value section corresponding to different safety levels; wherein the safety level includes normal, warning and danger; the real-time coupling value calculated is compared with the safety evaluation standard set in advance, the coupling value section to which the real-time coupling value of the current vehicle belongs is judged, so as to determine the safety level of the current vehicle; according to the determined safety level of the current vehicle, the safety state information of the current vehicle is displayed to the driver through the display device on the vehicle, and the corresponding safety report is generated.
[0028] Specifically, in the embodiment, the coupling value section of the normal safety level is set as (0, 0.3), the coupling value section of the early warning safety level is set as (0.3, 0.6), and the coupling value section of the dangerous safety level is set as (0.6, +infinity). The real-time coupling value of the current vehicle is compared with the coupling value section in the pre-set safety evaluation standard, the coupling value section to which the real-time coupling value of the current vehicle belongs is determined, and the safety level of the current vehicle is determined. According to the determined safety level of the current vehicle, the safety state information of the current vehicle is displayed to the driver through the display device on the vehicle, and the display mode includes: for the normal safety level, a green indicator light is displayed on the instrument panel, and the text information of “vehicle running normally” is displayed on the central control display screen; for the early warning safety level, a yellow indicator light is flickered on the instrument panel, and the text information of “vehicle has potential risks, please pay attention to safety” is displayed on the central control display screen, and can be accompanied by voice prompt. For the dangerous safety level, a red indicator light is flickered on the instrument panel, and the text information of “vehicle is in a dangerous state, please take measures immediately” is displayed on the central control display screen, and is accompanied by urgent voice alarm. In the generation of the safety report, the safety report includes the basic information of the vehicle, the current time, the current position, the safety level, and the real-time coupling value.
[0029] The application realizes personalized safety management by identifying the vehicle type to extract the corresponding standard safety operation parameters and setting the parameter weight based on the load state, accurately matches the vehicle characteristics and adapts to the load change, comprehensively and accurately masters the real-time running state of the vehicle through the multi-parameter comprehensive analysis and the construction of the dynamic coupling relationship considering the parameter correlation, combined with the real-time data acquisition and dynamic evaluation, can comprehensively and accurately master the real-time running state of the vehicle; the deviation threshold section can be set to early warn and prevent safety hazards; the application makes data-driven decisions to form a systematic management process, effectively improves the efficiency and decision-making scientificity of vehicle safety management, provides strong support for ensuring the safe operation of the vehicle, and improves the management efficiency and decision-making scientificity.
[0030] The present application is described with reference to flowcharts and / or block diagrams according to the methods, devices (systems), and computer program products of the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of the flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices produce a device that implements the functions specified in the flowcharts and / or block diagrams. Figure 1 The device that implements the functions specified in one flow or multiple flows and / or blocks Figure 1 The device that implements the functions specified in one flow or multiple flows and / or blocks
[0031] Those skilled in the art can understand that all or part of the steps in the above-mentioned embodiments can be completed by instructing the relevant hardware through a program, and the program can be stored in a computer readable storage medium, including Read-Only Memory (ROM), Random Access Memory (RAM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), One-time Programmable Read-Only Memory (OTPROM), Electrically-Erasable Programmable Read-Only Memory (EEPROM), Compact Disc Read-Only Memory (CD-ROM) or other optical disk storage, magnetic disk storage, magnetic tape storage, or any other medium that can be used to carry or store data which can be read by a computer.
[0032] It should also be noted that the terms "comprising", "containing", or any other variant thereof are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements, but can also include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the statement "comprising a" does not exclude the existence of additional identical elements in the process, method, article, or apparatus that includes the element.
Claims
1. A vehicle safety management terminal based on a gyroscope sensor, characterized in that, include: The identification and extraction module is used to identify the current vehicle type and extract standard safety operating parameters of the current vehicle type from a pre-built vehicle type safety database. The safety operating parameters include angle change, angular velocity, and acceleration. The parameter definition module is used to set the deviation threshold range of different parameters in the safety operation parameters based on the standard safety operation parameters of the current vehicle type, and to set the weight of different parameters in the safety operation parameters based on the vehicle's load status. The correlation analysis module is used to obtain historical safe operating parameters of vehicles and to analyze the correlation degree of different parameters in the safe operating parameters in order to build dynamic coupling relationships. The data recognition module is used to collect the current vehicle's safety operating parameters in real time through a gyroscope sensor, identify the current vehicle's load status, and automatically adjust the weight of different parameters in the safety operating parameters according to the load status. The load status includes empty, half-loaded, and fully loaded. The analysis and calculation module is used to calculate the real-time coupling value based on the weights of different parameters corresponding to the current vehicle load state, combined with the constructed dynamic coupling relationship, and according to the current vehicle safety operation parameters. The evaluation feedback module is used to evaluate the current safety status of the vehicle based on the calculated real-time coupling value.
2. The vehicle safety management terminal based on a gyroscope sensor according to claim 1, characterized in that, The specific steps for identifying the current vehicle type and extracting standard safety operating parameters for the current vehicle type from a pre-built vehicle type safety database are as follows: The vehicle type can be identified by automatically reading the vehicle model information through the vehicle identification number or the vehicle communication module. Based on the identified vehicle type, access a pre-built vehicle type safety database stored locally or in the cloud, which contains standard safe operating parameters for each type of vehicle under normal operating conditions. Extract standard safety operating parameters corresponding to the current vehicle type from the database, including angle change, angular velocity, and acceleration.
3. A vehicle safety management terminal based on a gyroscope sensor according to claim 1, characterized in that, The standard safe operating parameters based on the current vehicle type are used to set deviation threshold ranges for different parameters in the safe operating parameters, and the weights of different parameters in the safe operating parameters are set based on the vehicle's load status. The specific steps are as follows: Based on the extracted standard safe operating parameters corresponding to the current vehicle type, the deviation threshold range is divided. Based on the three different load states of the vehicle—empty, half-loaded, and fully loaded—the weights of angle change, angular velocity, and acceleration are set respectively. Specifically, in the fully loaded state, parameters with high weights, including acceleration and angle change, are set; in the empty state, parameters with high weights, including angular velocity, are set; and in the half-loaded state, the weights of angle change, angular velocity, and acceleration are equal.
4. A vehicle safety management terminal based on a gyroscope sensor according to claim 1, characterized in that, The steps for obtaining historical safe operating parameters of the vehicle and using correlation analysis to analyze the correlation between different parameters in order to construct a dynamic coupling relationship are as follows: Obtain historical safe operating parameters of the vehicle, use correlation analysis to calculate the correlation coefficients between angle change, angular velocity and acceleration, determine the degree of correlation between them, and obtain the correlation analysis results; Based on the correlation analysis results, a dynamic coupling relationship is constructed. The calculation formula for the dynamic coupling relationship specifically includes: Σ= Where Σ is the coupling value, , and These are the values for angle change, angular velocity, and acceleration, respectively.
5. A vehicle safety management terminal based on a gyroscope sensor according to claim 1, characterized in that, The process involves real-time acquisition of the vehicle's safety operating parameters using a gyroscope sensor, identification of the vehicle's load status, and automatic adjustment of the weights of different parameters within the safety operating parameters based on the load status. The specific steps are as follows: Using a gyroscope sensor, the angle change, angular velocity, and acceleration of the current vehicle are collected in real time according to a set sampling frequency. The angle change, angular velocity, and acceleration of the current vehicle are then filtered to eliminate vibration noise. By using pressure sensors to collect real-time load data of the vehicle, and by using pre-set load judgment standard values, the current load status of the vehicle can be determined in real time, clarifying whether the vehicle is currently empty, half-loaded, or fully loaded.
6. A vehicle safety management terminal based on a gyroscope sensor according to claim 1, characterized in that, The weights of different parameters corresponding to the current vehicle's load state, combined with the constructed dynamic coupling relationship, are used to calculate the real-time coupling value based on the current vehicle's safe operating parameters. The specific steps are as follows: Based on the identified current vehicle load status, the weight values of the three parameters—angle change, angular velocity, and acceleration—are identified from the set parameter weights corresponding to different load statuses under the current load status. The angle change, angular velocity, and acceleration parameters of the current vehicle are collected in real time. The angle change, angular velocity, and acceleration are weighted by the weight values of these three parameters under the current load condition. Then, the real-time coupling value of the current vehicle is calculated according to the formula in the constructed dynamic coupling relationship.
7. A vehicle safety management terminal based on a gyroscope sensor according to claim 1, characterized in that, The assessment of the current vehicle's safety status based on the calculated real-time coupling value involves the following steps: Based on vehicle type and operating conditions, safety assessment standards are pre-set, including setting coupling value segments corresponding to different safety levels; among which, safety levels include normal, warning, and danger. The calculated real-time coupling value is compared with the pre-set safety assessment standard to determine the specific coupling value segment to which the current vehicle's real-time coupling value belongs, thereby determining the current vehicle's safety level. Based on the determined safety level of the current vehicle, the driver is shown the current safety status information of the vehicle through the display device on the vehicle, and a corresponding safety report is generated.
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