A vehicle status intelligent management system and method based on vehicle owner's vehicle usage data

Abstract

The present invention discloses a vehicle status intelligent management system and method based on the vehicle owner's vehicle usage data, which belongs to the field of vehicle early warning management technology, and includes: a data acquisition module, which collects the temperature information of the shared car during driving and the external environment information; a storage module, which stores the historical fault data information of the shared car; a data analysis management module, which is used to analyze the information obtained by the data acquisition module to generate an alarm response value, and judge whether to issue a temperature abnormality alarm according to the alarm response value. The present invention collects the temperature information of the shared car during driving and the external environment information of the shared car through the data acquisition module, and conducts a comprehensive analysis on them, so as to analyze the abnormal temperature condition of the vehicle and issue an early warning for the abnormal temperature condition, which can eliminate the influence of the external environment temperature on the detection result to a certain extent, make the detection result more accurate, and thus increase the accuracy of the alarm.

Description

Technical Field

[0001] The present invention belongs to the technical field of vehicle early warning management, and in particular relates to a vehicle status intelligent management system and method based on vehicle owner's vehicle usage data. Background Art

[0002] With the continuous development of information and communication technology, the monitoring and judgment of vehicle status through information technology can improve road traffic safety, optimize transportation efficiency, strengthen vehicle management, etc. With the rapid development of mobile Internet, the sharing car model based on smartphone applications has begun to emerge. Users can use mobile phone APP to find nearby shared cars and use their own identity information to complete reservations, so as to realize car rental at any time, free return of cars, and instant sharing of vehicles, improve vehicle utilization efficiency, reduce empty driving rate, and thus reduce traffic congestion and environmental pollution.

[0003] The vehicle temperature abnormality alarm is an important part of the vehicle status management of shared cars. The temperature can be used to judge the condition of the vehicle. When the vehicle temperature is abnormal, it will not only affect the service life of the shared car, but may also cause safety accidents. Therefore, it is necessary to monitor the abnormal temperature. The existing temperature abnormality monitoring of shared cars generally sets a temperature alarm, monitors the temperature of the shared car in real time during driving, and issues a temperature abnormality alarm when the temperature is obviously abnormal to ensure the safety of the vehicle during driving. Although it can alarm for abnormal conditions that occur during vehicle driving, since shared cars generally travel outdoors, the temperature detected in different driving areas is different, which makes the temperature detection easily affected by the external ambient temperature, resulting in errors in the generated data and errors in the judgment of the vehicle status. Summary of the invention

[0004] The purpose of the present invention is to provide a vehicle status intelligent management system and method based on vehicle owner's vehicle usage data, so as to solve the problems faced by the above-mentioned background technology.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A vehicle status intelligent management system based on vehicle owner's vehicle usage data, the system comprising:

[0007] A data acquisition module, which is used to collect temperature information and external environment information of the shared car during driving;

[0008] A storage module, wherein the storage module stores historical data information of the shared car;

[0009] A data analysis and management module, which is used to analyze the information obtained by the data acquisition module to generate an alarm response value, and determine whether to issue a temperature abnormality alarm according to the alarm response value; at the same time, the data analysis and management module is also used to determine the vehicle status of the shared car according to the obtained alarm response value combined with historical data information;

[0010] Furthermore, the data acquisition module includes an external acquisition unit and an internal acquisition unit. The internal acquisition unit is composed of multiple internal temperature sensors and is installed on various heat-generating components inside the shared car to obtain temperature information of various heat-generating components when the shared car is driving. The external acquisition unit is used to obtain external environmental information of the shared car, and the environmental information includes external temperature, light intensity, average humidity of the day, and average wind conditions of the day.

[0011] Furthermore, the method for the data analysis management module to determine whether to issue an abnormal temperature alarm is:

[0012] Get the temperature information InT obtained by each internal temperature sensor;

[0013] By formula Get the alarm response value of the shared car at time t ;

[0014] ;

[0015] ;

[0016] The alarm response value will be obtained The alarm response threshold preset by the system For comparison:

[0017] when > When the temperature is abnormal, an alarm is issued;

[0018] in, is the temperature obtained by the i-th internal temperature sensor at time t, , is the temperature proportional coefficient of each internal temperature sensor, m is the number of temperature sensors whose temperature data is higher than the average value, , as well as is the proportional coefficient, A is the adjustment coefficient, is the external temperature influence value at time t, is the maximum temperature value of all internal temperature sensors at time t.

[0019] Furthermore, the method for obtaining the external temperature impact value is:

[0020] Get the temperature value obtained by the external temperature sensor And the light intensity value ;

[0021] By formula Calculate the external temperature influence value;

[0022] Among them, s is the average humidity level obtained by the Meteorological Bureau on the day of detection, w is the average wind force level obtained by the Meteorological Bureau on the day of detection, and a is the temperature conversion coefficient.

[0023] Furthermore, the method by which the data analysis management module judges the vehicle status of the shared car is:

[0024] Get the alarm response value curve over time for each use of the car ;

[0025] By formula Calculate the vehicle condition value V;

[0026] The obtained vehicle condition value V is compared with the vehicle condition threshold value preset by the system Make comparisons;

[0027] when When the vehicle is in poor condition, a reminder instruction to return the vehicle for maintenance and repair is generated;

[0028] in is the time-varying curve of the preset standard alarm response value of the system, g is the mileage, z is the number of fault alarms, is the duration of each car use, and F is the judgment function;

[0029] when hour, ,otherwise, .

[0030] Furthermore, the method for the data analysis management module to judge the vehicle status of the shared car also includes:

[0031] When no maintenance reminder instruction is generated, a function of the vehicle condition value of the shared car changing with the number of times the car is used is obtained;

[0032] After each use of the car, find the derivative function u of the function of the vehicle condition value during the use period and the number of times the car is used;

[0033] By formula Find the fluctuation value H;

[0034] When H>1, a maintenance reminder instruction is generated;

[0035] in is the derivative function of the current car use time period, is the derivative function of the last car-use period, The preset change reference threshold.

[0036] A vehicle status intelligent management method based on vehicle owner's vehicle usage data, wherein the management method is managed through a vehicle status intelligent management system based on vehicle owner's vehicle usage data.

[0037] Beneficial effects of the present invention:

[0038] The present invention collects temperature information of a shared car while it is driving and information about the external environment in which the shared car is located through a data acquisition module, and performs a comprehensive analysis thereof, thereby analyzing abnormal temperature conditions of the vehicle and issuing an early warning for abnormal temperature conditions. This can eliminate the influence of the external ambient temperature on the detection results to a certain extent, making the detection results more accurate, thereby increasing the accuracy of the alarm, and facilitating a more accurate assessment of the vehicle status.

[0039] The present invention can also judge the vehicle condition of the shared car based on the obtained alarm response value combined with historical fault data information, and promptly call back vehicles with abnormal vehicle conditions for repair and maintenance to ensure the safety of the vehicle, thereby reducing the occurrence of safety accidents.

[0040] The present invention can also judge the potential risk status of shared cars when no reminder instruction for return maintenance is generated, and timely return the problematic vehicles for maintenance to ensure driving safety.

[0041] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0043] Figure 1 It is a schematic diagram of the overall structure of the present invention. DETAILED DESCRIPTION

[0044] 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.

[0045] In one embodiment, a vehicle status intelligent management system based on vehicle owner's vehicle usage data is disclosed. Figure 1 As shown, the system includes:

[0046] Data acquisition module, the data acquisition module is used to collect temperature information and external environment information of the shared car during driving, and the data acquisition module includes an external acquisition unit and an internal acquisition unit. The internal acquisition unit is composed of multiple internal temperature sensors, which are installed on various heat-generating components inside the shared car to obtain temperature information of various heat-generating components when the shared car is driving. The external acquisition unit is used to obtain the external environment information of the shared car, and the environmental information includes external temperature, light intensity, average humidity of the day, and average wind conditions of the day;

[0047] A storage module, wherein the storage module stores historical data information of the shared car;

[0048] The data analysis and management module is used to analyze the information obtained by the data acquisition module to generate an alarm response value, and determine whether to issue an abnormal temperature alarm according to the alarm response value; at the same time, the data analysis and management module is also used to determine the vehicle status of the shared car according to the obtained alarm response value combined with historical data information;

[0049] Through the above technical solution, the present application collects the temperature information of the shared car during driving and the external environment information of the shared car through the data acquisition module, and conducts a comprehensive analysis thereof, so as to analyze the abnormal temperature condition of the vehicle and issue an early warning for the abnormal temperature condition. This can eliminate the influence of the external ambient temperature on the detection results to a certain extent, make the detection results more accurate, and thus increase the accuracy of the alarm; in addition, the present application can also judge the vehicle condition of the shared car based on the obtained alarm response value combined with the historical data information, and promptly recall the vehicle with abnormal vehicle condition for maintenance to ensure the safety of the vehicle, thereby reducing the occurrence of safety accidents.

[0050] As an implementation mode of the present invention, the method for the data analysis management module to determine whether to issue an abnormal temperature alarm is as follows:

[0051] Get the temperature information InT obtained by each internal temperature sensor;

[0052] By formula Get the alarm response value of the shared car at time t ;

[0053] ;

[0054] ;

[0055] The alarm response value will be obtained The alarm response threshold preset by the system For comparison:

[0056] when > When the temperature is abnormal, an alarm is issued;

[0057] in, is the temperature obtained by the i-th internal temperature sensor at time t, , is the temperature proportional coefficient of each internal temperature sensor, m is the number of temperature sensors whose temperature data is higher than the average value, , as well as is the proportional coefficient, A is the adjustment coefficient, is the external temperature influence value at time t, is the maximum temperature value of all internal temperature sensors at time t.

[0058] Through the above technical solution, this embodiment provides a method for the data analysis management module to determine whether a temperature abnormality alarm is required. Specifically, the formula is first used to determine whether a temperature abnormality alarm is required. Get the alarm response value of the shared car at time t , and then the alarm response value obtained The alarm response threshold preset by the system When the alarm response value is greater than the alarm response threshold preset by the system, it is considered that the temperature is abnormal and a temperature abnormality alarm is issued. The formula is It indicates the overall condition of the temperature inside the shared car. The larger the value, the higher the temperature and the higher the possibility of abnormal temperature risk. The formula It indicates that the temperature inside the shared car is out of tolerance relative to the average value. The larger the value, the higher the risk of temperature anomaly. is the external temperature influence value, so through the formula Comprehensive analysis is performed to eliminate the impact of external ambient temperature on the temperature change inside the shared car, and the alarm response value at each time is obtained, and compared with the preset alarm response threshold. By comparing the temperature, it can be determined whether the temperature is abnormal and the alarm can be issued in time. In this way, the influence of the external environment temperature on the temperature change inside the shared car can be eliminated as much as possible, so that the detected shared car temperature is more real and accurate, reducing the occurrence of false alarms.

[0059] In the above technical solution, the temperature proportional coefficient of each internal temperature sensor is , proportionality coefficient as well as , adjustment factor A and preset alarm response threshold All of these can be determined based on experimental data combined with empirical data, so I will not elaborate on them here.

[0060] As an implementation mode of the present invention, a method for obtaining the ambient temperature impact value is:

[0061] Get the temperature value obtained by the external temperature sensor And the light intensity value ;

[0062] By formula Calculate the external temperature influence value;

[0063] Among them, s is the average humidity level obtained by the Meteorological Bureau on the day of detection, w is the average wind force level obtained by the Meteorological Bureau on the day of detection, and a is the temperature conversion coefficient.

[0064] Through the above technical solution, this embodiment provides a method for obtaining the external temperature influence value. Since the detected temperature of a shared car is easily affected by the external temperature when it is driving and causes deviation, it is necessary to eliminate the influence of the external temperature. Specifically, the formula Combined with the external temperature, humidity, light intensity and wind conditions, a comprehensive analysis is performed to find the external temperature impact value. From the formula, it can be seen that when the external temperature and light intensity are greater, the temperature generated is higher, and the impact on the test results is greater, that is, the greater the external temperature impact value, when the average humidity level and wind level obtained by the meteorological bureau on the day of the test is greater, the heat generated by the outside world is less, and the external temperature impact value is smaller. Therefore, the external temperature impact value of the day can be accurately obtained through the formula and discharged, which can improve the detection accuracy. Through this method, a comprehensive analysis can be performed in combination with the external temperature, humidity, light intensity and wind conditions, so that the external temperature impact value obtained is more accurate.

[0065] In the above technical solution, the temperature value can be obtained by a temperature sensor arranged outside, the light intensity can be obtained by a light meter, and the temperature conversion coefficient can be obtained according to the relevant conversion data in the big data, which will not be described in detail here.

[0066] As an implementation mode of the present invention, the method for the data analysis management module to judge the vehicle status of the shared car is:

[0067] Get the alarm response value curve over time for each use of the car ;

[0068] By formula Calculate the vehicle condition value V;

[0069] The obtained vehicle condition value V is compared with the vehicle condition threshold value preset by the system Make comparisons;

[0070] when When the vehicle is in poor condition, a reminder instruction to return the vehicle for maintenance and repair is generated;

[0071] in is the time-varying curve of the preset standard alarm response value of the system, g is the mileage, z is the number of fault alarms, is the duration of each car use, and F is the judgment function;

[0072] when hour, ,otherwise .

[0073] Through the above technical solution, this embodiment provides a method for the data analysis management module to judge the vehicle condition of the shared car. Since the shared car will be constantly worn during driving, in order to ensure driving safety, the shared car needs to be regularly maintained. However, since different shared cars are used for different times, the regular maintenance method may cause errors in the maintenance of the car. Therefore, this application obtains the alarm response value change curve over time each time the car is used. , through the formula Combine the temperature alarm response value and the number of fault alarms each time the vehicle is driven to calculate the vehicle condition value V. From the formula, it can be seen that when When the temperature alarm response value of the car during driving does not exceed the standard alarm response value preset by the system, the default temperature has little effect on the vehicle condition value and can be ignored. The default value is 1.

[0074] when hour,

[0075] It shows that the temperature has an impact on the vehicle condition value at this time; it can be seen from the formula that when the vehicle is used, the greater the value of the temperature alarm response value over time and the standard alarm response value preset by the system, the higher the frequency of temperature abnormalities, the worse the vehicle condition value, or the more total fault alarm times z that occur within the mileage g, the worse the vehicle condition value; therefore, the obtained vehicle condition value V is compared with the vehicle condition threshold value preset by the system For comparison, when the vehicle condition value of the activity is greater than the vehicle condition threshold preset by the system, it means that the vehicle condition is poor. In order to ensure the driving safety of the shared car, it needs to be repaired. Then, a maintenance reminder instruction is generated to remind the terminal operator to handle the shared car. In this way, it is possible to judge whether the vehicle needs maintenance based on the vehicle condition value during driving. Compared with traditional regular maintenance, the judgment of vehicle condition is more accurate.

[0076] As an embodiment of the present invention, the method for the data analysis management module to judge the vehicle condition of the car also includes: when no maintenance reminder instruction is generated, according to the vehicle condition value obtained each time the car is used, a curve function of the vehicle condition value of the shared car changing with the number of times the car is used is formulated;

[0077] After each use of the vehicle, the derivative function value u of the curve function of the vehicle condition value changing with the number of times the vehicle is used in the vehicle use period is obtained according to the proposed curve function of the vehicle condition value changing with the number of times the vehicle is used;

[0078] By formula Find the fluctuation value H;

[0079] When H>1, a maintenance reminder instruction is generated;

[0080] in is the derivative function of the current car use time period, is the derivative function of the last car-use period, The preset change reference threshold.

[0081] Through the above technical solution, this embodiment provides another method for the data analysis management module to judge the vehicle condition of the shared car. Specifically, when the maintenance reminder instruction is not generated, the vehicle condition value of the car changes with the number of times the car is used, and after each use of the car, the derivative function u of the vehicle condition value of the car in the use time period is calculated. The derivative function can analyze the slope change of the curve of the vehicle condition value of the car changing with the number of times the car is used. Calculate the fluctuation value. From the formula, we can see that the greater the difference between the slope change of the current car use time period and the slope change of the previous car use time period, the greater the fluctuation of the shared car's vehicle condition in this use time period compared with the previous use time period, indicating that the vehicle condition value is worse. When it exceeds the preset change reference threshold When the preset change reference threshold It can be obtained based on empirical data, that is, when the fluctuation value is greater than 1, it means that the vehicle condition is poor. At this time, a reminder instruction for returning for maintenance and repair is generated to remind the terminal operator to handle the shared car. In this way, the potential risk status of the shared car can be judged without generating a reminder instruction for returning for maintenance and repair, and the problematic vehicle can be returned for maintenance and repair in time to ensure driving safety.

[0082] A vehicle status intelligent management method based on vehicle owner's vehicle usage data adopts the above-mentioned vehicle status intelligent management system based on vehicle owner's vehicle usage data for management.

[0083] The present invention collects the temperature information of the shared car during driving and the external environment information of the shared car through the data acquisition module, and conducts a comprehensive analysis thereof, thereby analyzing the abnormal temperature condition of the vehicle and issuing an early warning for the abnormal temperature condition, which can eliminate the influence of the external environment temperature on the detection result to a certain extent, making the detection result more accurate, thereby increasing the accuracy of the alarm. At the same time, the present invention can also judge the vehicle condition of the shared car according to the obtained alarm response value combined with the historical fault data information, and promptly call back the vehicle with abnormal vehicle condition for repair and maintenance to ensure the safety of the vehicle, thereby reducing the occurrence of safety accidents. In addition, the present invention can also judge the potential risk condition of the shared car when no call back maintenance and repair reminder instruction is generated, and promptly call back the problematic vehicle for maintenance and repair to ensure driving safety.

[0084] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the claims, they shall all fall within the protection scope of the present invention.

Claims

1. A vehicle status intelligent management system based on vehicle owner's vehicle usage data, characterized in that: The system comprises: A data acquisition module, the data acquisition module is used to collect temperature information and external environment information of the shared car during driving. The data acquisition module includes an external acquisition unit and an internal acquisition unit. The internal acquisition unit is composed of a plurality of internal temperature sensors, which are installed on various heat-generating components inside the shared car to obtain temperature information of various heat-generating components when the shared car is driving. The external acquisition unit is used to obtain external environment information of the shared car, and the environment information includes external temperature, light intensity, average humidity of the day, and average wind conditions of the day; A storage module, wherein the storage module stores historical fault data information of the shared car; A data analysis and management module, which is used to analyze the information obtained by the data acquisition module to generate an alarm response value, and determine whether to issue a temperature abnormality alarm according to the alarm response value; at the same time, the data analysis and management module is also used to determine the vehicle condition of the shared car according to the obtained alarm response value combined with historical fault data information; The method for the data analysis management module to determine whether to issue an abnormal temperature alarm according to the alarm response value is: obtaining temperature information InT obtained by each internal temperature sensor; By formula Get the alarm response value of the shared car at time t ; ； ； The alarm response value will be obtained The alarm response threshold preset by the system For comparison: when > When the temperature is abnormal, an alarm is issued; in, is the temperature obtained by the i-th internal temperature sensor at time t, , is the temperature proportional coefficient of each internal temperature sensor, m is the number of temperature sensors whose temperature data is higher than the average value, , as well as is the proportional coefficient, A is the adjustment coefficient, is the external temperature impact value at time t, is the maximum temperature value of all internal temperature sensors at time t; The method for obtaining the external temperature influence value is: Get the temperature value obtained by the external temperature sensor And the light intensity value ; By formula Calculate the external temperature influence value; Among them, s is the average humidity level obtained by the Meteorological Bureau on the day of detection, w is the average wind force level obtained by the Meteorological Bureau on the day of detection, and a is the temperature conversion coefficient.

2. The vehicle status intelligent management system based on vehicle owner's vehicle usage data according to claim 1 is characterized in that: The method by which the data analysis management module judges the vehicle status of the shared car is: Get the alarm response value curve over time for each use of the car ; By formula Calculate the vehicle condition value V; The obtained vehicle condition value V is compared with the vehicle condition threshold value preset by the system Make comparisons; when When the vehicle is in poor condition, a reminder instruction to return the vehicle for maintenance and repair is generated; in is the time-varying curve of the preset standard alarm response value of the system, g is the mileage, z is the number of fault alarms, is the duration of each car use, and F is the judgment function; when hour, ,otherwise, .

3. The vehicle status intelligent management system based on vehicle owner's vehicle usage data according to claim 2 is characterized in that: The method for the data analysis management module to judge the vehicle status of the shared car also includes: When no maintenance reminder instruction is generated, a function of the vehicle condition value of the shared car changing with the number of times the car is used is obtained; After each use of the car, find the derivative function u of the function of the vehicle condition value during the use period and the number of times the car is used; By formula Find the fluctuation value H; When H>1, a maintenance reminder instruction is generated; in is the derivative function of the current car use time period, is the derivative function of the last car-use period, The preset change reference threshold.

4. A vehicle status intelligent management method based on vehicle owner's vehicle usage data, characterized in that: The management method is managed by the vehicle status intelligent management system based on the vehicle owner's vehicle usage data as described in any one of claims 1-3.

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