A vehicle status intelligent management method based on vehicle usage data analysis

Through vehicle status monitoring and analysis module detection and calculation of the vehicle comprehensive status index, the problem of timely warning in time in time when the vehicle control system is abnormal, and the protection of vehicle safety and the protection of the owner's interests.

CN118753309BActive Publication Date: 2025-01-24SHANDONG ANBAI COMM TECH CO LTD
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Patent Information

Application Number
CN202411243955.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-09-05
Publication Date
2025-01-24
Estimated Expiration
2044-09-05

AI Technical Summary

Technical Problem

How to promptly warn when abnormalities occur in the car control system to avoid vehicle accidents caused by abnormal control system.

Method used

Real-time vehicle status data is detected through the vehicle status monitoring module and stored in the storage module. Then, the historical data is analyzed through the analysis module, the vehicle comprehensive status index is calculated, and based on the analysis results, it is judged whether to send early warning information.

Benefits of technology

It realizes the timely sending of early warning information when the vehicle control system is abnormal, so that car owners can promptly understand the status of the vehicle and perform maintenance, and avoid vehicle accidents and personal and property losses caused by continuing to drive in abnormal conditions.

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Abstract

The present invention relates to the field of vehicle management, and discloses a vehicle state intelligent management method for vehicle use data analysis, comprising the following steps: S1: detecting the vehicle state through a vehicle state monitoring module to obtain real-time vehicle state monitoring data; S2: storing the real-time vehicle state monitoring data into a storage module to obtain historical vehicle state monitoring data; S3: analyzing the historical vehicle state monitoring data within a preset time period according to preset rules through an analysis module to obtain a vehicle comprehensive state index, and analyzing the vehicle comprehensive state index, and judging whether to send an early warning message according to the analysis result; enabling the vehicle to send an early warning message in time when an abnormality occurs, so that the vehicle owner can timely understand the abnormal state of the vehicle, and timely repair the vehicle to prevent the vehicle from continuing to drive in an abnormal state to cause an accident, thereby avoiding casualties or property losses.
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Description

Technical Field

[0001] The present invention relates to the field of vehicle management, and in particular to a vehicle status intelligent management method based on vehicle usage data analysis. Background Art

[0002] With the improvement of my country's infrastructure and the improvement of living standards, more and more families are buying cars for transportation; today's cars are mainly classified according to their power units into internal combustion engine cars, electric cars and hybrid cars; among them, internal combustion engine cars are still the most common type of car.

[0003] When using the car, the owner of an internal combustion engine car can understand the car's driving status by using the display instrument to understand the car's driving parameters such as speed, mileage and fuel level; the status of the vehicle's control system is usually judged by the owner's usage experience.

[0004] However, novice drivers are unfamiliar with vehicles and are prone to bumping into them and having problems with the vehicle. When subtle abnormalities occur in the control system, it is difficult for novice drivers to discover them in time and deal with the vehicle. Long-term use may lead to accidents or traffic accidents. Summary of the invention

[0005] The purpose of the present invention is to provide a vehicle status intelligent management method based on vehicle usage data analysis to solve the following technical problems:

[0006] How to provide timely warnings when abnormalities occur in the vehicle control system to avoid vehicle accidents caused by abnormal control systems.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] A vehicle status intelligent management method based on vehicle usage data analysis comprises the following steps:

[0009] S1: Detect the vehicle status through the vehicle status monitoring module to obtain real-time vehicle status monitoring data;

[0010] S2: storing the real-time vehicle status monitoring data into a storage module to obtain historical vehicle status monitoring data;

[0011] S3: Analyze the historical vehicle status monitoring data within a preset time period according to preset rules through the analysis module, obtain the vehicle comprehensive status index, analyze the vehicle comprehensive status index, and determine whether to send warning information based on the analysis results.

[0012] As a further solution of the present invention: the vehicle status monitoring data includes a steering wheel rotation angle, a tire horizontal deflection angle, a brake pedal force value and a vehicle driving speed.

[0013] As a further solution of the present invention: the preset rule is:

[0014] S10: Obtaining a historical direction control state index by analyzing the steering wheel rotation angle and the real-time tire rotation angle in a preset time period;

[0015] S20: Obtaining a historical brake control state index by analyzing the brake pedal force value and the vehicle driving speed during a preset time period;

[0016] S30: Obtaining a vehicle comprehensive state index by analyzing a historical direction control state index and a historical brake control state index.

[0017] As a further solution of the present invention: In S10, the historical direction control state index is obtained by the formula get;

[0018] in, Control state index for historical direction; It is the real-time rotation angle curve of the tire within the preset time period; Preset a rotation angle curve for the tire within a preset time period; is the judgment function, when hour, ;when hour, ; For the current moment, The preset duration; is the allowable value of rotation angle error.

[0019] As a further solution of the present invention: in S20, the acquisition process of the historical brake control state index is:

[0020] S100: Obtaining a curve of a brake pedal force value changing over time and a curve of a vehicle speed changing over time within a preset time period by storing historical brake pedal force values ​​and vehicle speeds in a storage module;

[0021] S200: Obtain the number of brakes in a preset time period through the curve of the change of the brake pedal force value over time, and record the number of brakes as ; and obtain Second brake The braking start time in the second braking and brake end time ;

[0022] S300: Get the The curve of the brake pedal force value changing with time for the first brake and in accordance with The curve of the brake pedal force value changing with time for the first brake Get the The curve of the vehicle preset speed changing with time for the first brake ;

[0023] S400: Get the Curve of vehicle speed changing with time after braking ;

[0024] S500: Obtain the historical brake control status index by analyzing the data obtained in S200-S400 .

[0025] As a further solution of the present invention: the historical brake control state index To pass the formula get;

[0026] in, is the allowable value of speed error.

[0027] As a further solution of the present invention: the vehicle comprehensive status index is obtained by the formula: get;

[0028] in, is the comprehensive vehicle status index; is the first weight coefficient; is the second weight coefficient.

[0029] As a further solution of the present invention: the analysis and judgment results of the vehicle comprehensive status index by the analysis module include no need for warning, sending minor abnormality warning information and sending serious abnormality warning information.

[0030] As a further solution of the present invention: in S3, the analysis process of the vehicle comprehensive status index is:

[0031] The comprehensive status index is compared with the preset threshold Make a comparison;

[0032] when When the vehicle is in good overall condition, no warning is needed;

[0033] when When the vehicle is slightly abnormal, a minor abnormality warning message is sent;

[0034] when When the vehicle is seriously abnormal, a serious abnormality warning message is sent.

[0035] Beneficial effects of the present invention:

[0036] The present invention detects the vehicle state through a vehicle state monitoring module to obtain real-time vehicle state monitoring data; and stores the real-time vehicle state monitoring data into a storage module to obtain historical vehicle state monitoring data; finally, the analysis module analyzes the historical vehicle state monitoring data within a preset time period according to preset rules to obtain a comprehensive vehicle state index, and analyzes the comprehensive vehicle state index, and determines whether to send a warning message according to the analysis result; the vehicle sends a warning message in time when an abnormality occurs, so that the owner can understand the abnormal state of the vehicle in time, and repair the vehicle in time to prevent the vehicle from continuing to drive in an abnormal state and causing an accident, thereby avoiding casualties or property losses;

[0037] The present invention analyzes the steering wheel rotation angle and the real-time tire rotation angle in a preset time period through an analysis module to obtain a historical direction control state index; analyzes the brake pedal force value and the vehicle driving speed in a preset time period to obtain a historical brake control state index; and then analyzes the historical direction control state index and the historical brake control state index to obtain a vehicle comprehensive state index; thereby realizing subsequent analysis and early warning of the vehicle comprehensive state index; enabling the vehicle to send early warning information in time when an abnormality occurs, so that the owner can understand the abnormal state of the vehicle in time, and repair the vehicle in time to prevent the vehicle from continuing to drive in an abnormal state and causing an accident, thereby avoiding casualties or property losses;

[0038] The present invention When the historical direction control status index and historical brake control status index Both are 1, the historical direction control status and historical brake control status are within the allowable error range, indicating that the vehicle is in good overall condition and no warning is needed; When the historical direction control status index and historical brake control status index At least one of them exceeds the allowable error range, and the vehicle is abnormal. When the vehicle is slightly abnormal, a warning message is sent to remind the owner to drive to the 4S shop for repair as soon as possible; When the vehicle is in a serious abnormality, it will send a serious abnormality warning message to remind the owner that the car will be powered off urgently and cannot continue to drive; and automatically dial the rescue number to let the owner contact a tow truck to avoid accidents caused by the car losing control during driving. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The present invention will be further described below in conjunction with the accompanying drawings.

[0040] Figure 1 The present invention is a method flow chart of an embodiment of the present invention. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] See also Figure 1 As shown, in one embodiment, a vehicle status intelligent management method based on vehicle usage data analysis is provided, comprising the following steps:

[0043] S1: Detect the vehicle status through the vehicle status monitoring module to obtain real-time vehicle status monitoring data;

[0044] S2: storing the real-time vehicle status monitoring data into a storage module to obtain historical vehicle status monitoring data;

[0045] S3: Analyze the historical vehicle status monitoring data within a preset time period according to preset rules through the analysis module to obtain the vehicle comprehensive status index, analyze the vehicle comprehensive status index, and determine whether to send warning information based on the analysis results;

[0046] Through the above technical scheme, this embodiment detects the vehicle status through the vehicle status monitoring module to obtain real-time vehicle status monitoring data; and stores the real-time vehicle status monitoring data into the storage module to obtain historical vehicle status monitoring data; finally, the analysis module analyzes the historical vehicle status monitoring data within the preset time period according to preset rules to obtain the vehicle comprehensive status index, and analyzes the vehicle comprehensive status index, and determines whether to send warning information based on the analysis results; the vehicle sends warning information in time when an abnormality occurs, so that the owner can understand the abnormal status of the vehicle in time, and repair the vehicle in time to prevent the vehicle from continuing to drive in an abnormal state and causing an accident, thereby avoiding casualties or property losses.

[0047] As an implementation mode of the present invention, the vehicle state monitoring data includes a steering wheel rotation angle, a tire horizontal deflection angle, a brake pedal force value, and a vehicle driving speed;

[0048] Through the above technical scheme, this embodiment obtains the steering wheel rotation angle by setting a rotation angle sensor on the steering wheel rotation shaft; obtains the horizontal deflection angle of the tire in the horizontal direction by setting a camera above the tire; obtains the brake pedal force value by building a pressure sensor into the brake pedal; the method for obtaining the vehicle's driving speed is a prior art and will not be described in detail here.

[0049] As an implementation mode of the present invention, the preset rule is:

[0050] S10: Obtaining a historical direction control state index by analyzing the steering wheel rotation angle and the real-time tire rotation angle in a preset time period;

[0051] S20: Obtaining a historical brake control state index by analyzing the brake pedal force value and the vehicle driving speed during a preset time period;

[0052] S30: Obtaining a comprehensive vehicle state index by analyzing a historical direction control state index and a historical brake control state index;

[0053] Through the above technical scheme, the analysis module of this embodiment obtains the historical direction control state index by analyzing the steering wheel rotation angle and the real-time tire rotation angle in a preset time period; obtains the historical brake control state index by analyzing the brake pedal force value and the vehicle driving speed in a preset time period; and obtains the vehicle comprehensive state index by analyzing the historical direction control state index and the historical brake control state index; thereby realizing subsequent analysis and early warning of the vehicle comprehensive state index; enabling the vehicle to send early warning information in time when an abnormality occurs, so that the owner can promptly understand the abnormal state of the vehicle and promptly repair the vehicle to prevent the vehicle from continuing to drive in an abnormal state and causing an accident, thereby avoiding casualties or property losses.

[0054] As an embodiment of the present invention, in S10, the historical direction control state index is obtained by the formula get;

[0055] in, Control state index for historical direction; It is the real-time rotation angle curve of the tire within the preset time period; Preset a rotation angle curve for the tire within a preset time period; is the judgment function, when hour, ;when hour, ; For the current moment, The preset duration; is the allowable value of rotation angle error;

[0056] Through the above technical solution, this embodiment Get at the current moment Past preset duration The absolute value of the difference between the real-time tire rotation angle and the preset tire rotation angle and the cumulative difference between the rotation angle error allowable value; the absolute value of the difference between the real-time tire rotation angle and the preset tire rotation angle and the cumulative difference between the rotation angle error allowable value The larger the historical direction control status index is, the The larger it is, the lower the accuracy of controlling the tire rotation angle through the steering wheel rotation angle;

[0057] It should be noted that at the current moment Past preset duration The curve of the tire preset rotation angle changing with time According to the current moment Past preset duration The curve of the inner steering wheel rotation angle changing with time is obtained. The corresponding tire preset rotation angle is obtained by the steering wheel rotation angle. The rotation angle error allowable value , preset duration It is the default value and will not be described in detail here.

[0058] As an implementation manner of the present invention, in S20, the acquisition process of the historical brake control state index is:

[0059] S100: Obtaining a curve of a brake pedal force value changing over time and a curve of a vehicle speed changing over time within a preset time period by storing historical brake pedal force values ​​and vehicle speeds in a storage module;

[0060] S200: Obtain the number of brakes in a preset time period through the curve of the change of the brake pedal force value over time, and record the number of brakes as ; and obtain Second brake The braking start time in the second braking and brake end time ;

[0061] S300: Get the The curve of the brake pedal force value changing with time for the first brake and in accordance with The curve of the brake pedal force value changing with time for the first brake Get the The curve of the vehicle preset speed changing with time for the first brake ;

[0062] S400: Get the Curve of vehicle speed changing with time after braking ;

[0063] S500: Obtain the historical brake control status index by analyzing the data obtained in S200-S400 ;

[0064] Through the above technical solution, the acquisition process of the historical brake control state index in this embodiment is to first obtain the change curve of the brake pedal force value over time and the change curve of the vehicle speed over time in the preset time period through the historical brake pedal force value and the vehicle speed in the storage module; then obtain the number of brakes in the preset time period through the change curve of the brake pedal force value over time, and record the number of brakes as ; and obtain Second brake The braking start time in the second braking and brake end time ; Then get the The curve of the brake pedal force value changing with time for the first brake and in accordance with The curve of the brake pedal force value changing with time for the first brake Get the Curve of the preset speed of the braking vehicle changing with time ; Then get the Curve of vehicle speed changing with time after braking ; Finally, through the The curve of the vehicle preset speed changing with time for the first brake and Curve of vehicle speed changing with time after braking Analyze to obtain historical brake control status index ; Thus obtaining the brake control state of the preset time period;

[0065] It should be noted that the method of obtaining the preset speed of the vehicle through the brake pedal force value is a prior art and will not be described in detail here.

[0066] As an implementation mode of the present invention, the historical brake control state index To pass the formula get;

[0067] in, is the allowable value of speed error;

[0068] Through the above technical solution, this embodiment For the The cumulative value of the vehicle's speed during each braking operation; For the The accumulated value of the vehicle's preset speed for the first brake;

[0069] For the The average difference between the vehicle's speed per unit time and the vehicle's preset speed during each braking operation; For the preset time period The average difference between the vehicle's speed per unit time and the vehicle's preset speed;

[0070] For the preset time period The absolute value of the average difference between the vehicle's speed per unit time and the vehicle's preset speed and the allowable value of the speed error The difference between

[0071] when When The absolute value of the average difference between the vehicle's speed per unit time and the vehicle's preset speed is within the speed error allowable value. Within the range, the brake control is in good condition;

[0072] when When The absolute value of the average difference between the vehicle's speed per unit time and the vehicle's preset speed exceeds the speed error allowable value , the brake control status is poor, within the preset time period The absolute value of the average difference between the vehicle's speed per unit time and the vehicle's preset speed and the allowable value of the speed error The difference The larger the value, the worse the brake control status. The bigger.

[0073] As an implementation mode of the present invention, the vehicle comprehensive status index is calculated by the formula: get;

[0074] in, is the comprehensive vehicle status index; is the first weight coefficient; is the second weight coefficient;

[0075] Through the above technical solution, the historical direction control state index of this embodiment The larger the value, the lower the accuracy of controlling the tire rotation angle through the steering wheel rotation angle; Vehicle comprehensive status index The larger the value, the worse the overall vehicle condition; Historical brake control status index The larger the value, the worse the brake control state. The larger it is, the worse the overall condition of the vehicle;

[0076] It should be noted that the first weight coefficient and the second weight coefficient It is a preset value, obtained based on experience, and will not be described in detail here.

[0077] As an implementation manner of the present invention, the analysis and judgment results of the vehicle comprehensive status index analyzed by the analysis module include no need for warning, sending a minor abnormality warning message, and sending a serious abnormality warning message.

[0078] As an implementation mode of the present invention, in S3, the analysis process of the vehicle comprehensive status index is:

[0079] The comprehensive status index is compared with the preset threshold Make a comparison;

[0080] when When the vehicle is in good overall condition, no warning is needed;

[0081] when When the vehicle is slightly abnormal, a minor abnormality warning message is sent;

[0082] when When the vehicle is seriously abnormal, a serious abnormality warning message is sent.

[0083] Through the above technical solution, this embodiment When the historical direction control status index and historical brake control status index Both are 1, the historical direction control status and historical brake control status are within the allowable error range, indicating that the vehicle is in good overall condition and no warning is needed; When the historical direction control status index and historical brake control status index At least one of them exceeds the allowable error range, and the vehicle is abnormal. When the vehicle is slightly abnormal, a warning message is sent to remind the owner to drive to the 4S shop for repair as soon as possible; When the vehicle is in a serious abnormality, it will send a serious abnormality warning message to remind the owner that the car will be powered off urgently and cannot continue to drive; and automatically dial the rescue number to let the owner contact a tow truck to avoid accidents caused by the car losing control during driving.

[0084] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A vehicle status intelligent management method based on vehicle usage data analysis, characterized in that: The following steps are involved: S1: Detect the vehicle status through the vehicle status monitoring module to obtain real-time vehicle status monitoring data; S2: storing the real-time vehicle status monitoring data into a storage module to obtain historical vehicle status monitoring data; S3: Analyze the historical vehicle status monitoring data within a preset time period according to preset rules through the analysis module to obtain the vehicle comprehensive status index, analyze the vehicle comprehensive status index, and determine whether to send warning information based on the analysis results; The vehicle status monitoring data includes the steering wheel rotation angle, tire horizontal deflection angle, brake pedal force value and vehicle speed; The preset rules are: S10: Obtaining a historical direction control state index by analyzing the steering wheel rotation angle and the real-time tire rotation angle in a preset time period; S20: Obtaining a historical brake control state index by analyzing the brake pedal force value and the vehicle driving speed during a preset time period; S30: Obtaining a vehicle comprehensive state index by analyzing a historical direction control state index and a historical brake control state index; In S10, the historical direction control state index is calculated by the formula get; in, Control state index for historical direction; It is the real-time rotation angle curve of the tire within the preset time period; Preset a rotation angle curve for the tire within a preset time period; is the judgment function, when hour, ;when hour, ; For the current moment, The preset duration; is the allowable value of rotation angle error; In S20, the acquisition process of the historical brake control state index is: S100: Obtaining a curve of a brake pedal force value changing over time and a curve of a vehicle speed changing over time within a preset time period by storing historical brake pedal force values ​​and vehicle speeds in a storage module; S200: Obtain the number of brakes in a preset time period through the curve of the change of the brake pedal force value over time, and record the number of brakes as ; and obtain Second brake The braking start time in the second braking and brake end time ; S300: Get the The curve of the brake pedal force value changing with time for the first brake and in accordance with The curve of the brake pedal force value changing with time for the first brake Get the The curve of the vehicle preset speed changing with time for the first brake ; S400: Get the Curve of vehicle speed changing with time after braking ; S500: Obtain the historical brake control status index by analyzing the data obtained in S200-S400 .

2. The vehicle status intelligent management method based on vehicle usage data analysis according to claim 1 is characterized in that: The historical brake control state index To pass the formula get; in, is the allowable value of speed error.

3. The vehicle status intelligent management method based on vehicle usage data analysis according to claim 2 is characterized in that: The vehicle comprehensive status index is calculated by the formula: get; in, is the comprehensive vehicle status index; is the first weight coefficient; is the second weight coefficient.

4. The vehicle status intelligent management method based on vehicle usage data analysis according to claim 3 is characterized in that: The analysis and judgment results of the vehicle comprehensive status index by the analysis module include no need for warning, sending a minor abnormality warning message, and sending a serious abnormality warning message.

5. The vehicle status intelligent management method based on vehicle usage data analysis according to claim 4 is characterized in that: In S3, the analysis process of the vehicle comprehensive status index is as follows: The comprehensive status index is compared with the preset threshold Make a comparison; when When the vehicle is in good overall condition, no warning is needed; when When the vehicle is slightly abnormal, a minor abnormality warning message is sent; when When the vehicle is seriously abnormal, a serious abnormality warning message is sent.

Citation Information

Patent Citations

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