CN115131895B - Method and device for acquiring vehicle mileage data and electronic equipment - Google Patents
Method and device for acquiring vehicle mileage data and electronic equipment Download PDFInfo
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- CN115131895B CN115131895B CN202210752339.1A CN202210752339A CN115131895B CN 115131895 B CN115131895 B CN 115131895B CN 202210752339 A CN202210752339 A CN 202210752339A CN 115131895 B CN115131895 B CN 115131895B
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0841—Registering performance data
- G07C5/085—Registering performance data using electronic data carriers
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/008—Registering or indicating the working of vehicles communicating information to a remotely located station
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
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Abstract
The application discloses a method, a device and electronic equipment for acquiring vehicle mileage data, wherein the method comprises the following steps: acquiring a plurality of mileage values reported by a current vehicle in a current date; filtering the mileage difference value exceeding a first preset range from the mileage difference value between the mileage values reported at adjacent moments; and superposing and calculating the mileage value of the current vehicle at the end of the running on the current date based on the mileage difference value left after the filtering. According to the technical scheme provided by the application, the mileage value of the current vehicle at the end of the running on the current date is corrected, and the influence of the abnormal jump mileage value is filtered. When the maintenance personnel reads the data each time, the mileage data of the vehicle at the end of daily driving is read only, the accuracy of the mileage data is improved, and the reliability of the subsequent maintenance strategy establishment of the vehicle enterprise is further ensured.
Description
Technical Field
The application relates to the field of data processing, in particular to a method, a device and electronic equipment for acquiring vehicle mileage data.
Background
In the running process of the vehicle, the running mileage is calculated through the data of the vehicle speed, the running time and the like and is accumulated to obtain the total running mileage. The vehicle in the prior art generally has the function of uploading information of the total mileage to the cloud platform, and when the vehicle needs to be classified according to the total mileage and a maintenance strategy is adopted or the residual value of the vehicle is evaluated, a frame of effective total mileage data uploaded by the vehicle is directly taken. However, after analyzing the massive real vehicle data, the problem that the total mileage of the vehicle is hopped due to the problems of chips, strategies and the like is found out, and the data after the mileage hopping is possibly obtained by adopting a frame of effective total mileage data which is uploaded by the vehicle in the prior art, for example: the reported mileage numerical sequence of a certain vehicle is as follows: 2000km, 2500km, 4000km, 1500km, 2400km …, it can be seen that the data reported by the vehicle after 4000km has abnormal jump, if the maintenance personnel start reading after 4000km, the vehicle can not obtain the due maintenance service and accurate residual value in time.
Disclosure of Invention
In view of the above, the embodiment of the application provides a method, a device and electronic equipment for acquiring vehicle mileage data, so that the accuracy of reading the vehicle mileage value is improved.
According to a first aspect, an embodiment of the present application provides a method for acquiring vehicle mileage data, the method including: acquiring a plurality of mileage values reported by a current vehicle in a current date; filtering the mileage difference value exceeding a first preset range from the mileage difference value between the mileage values reported at adjacent moments; and superposing and calculating the mileage value of the current vehicle at the end of the running on the current date based on the mileage difference value left after filtering.
Optionally, the filtering the mileage difference value beyond the first preset range includes: and filtering the mileage difference value smaller than zero or larger than an effective speed per hour range, wherein the effective speed per hour range is the distance travelled by the current vehicle in the time period corresponding to the current mileage difference value at the maximum speed per hour.
Optionally, the method further comprises: acquiring a single-day mileage value of a current vehicle at the end of driving on each date before the current date; filtering the daily mileage difference value exceeding a second preset range from the daily mileage difference value between the daily mileage values of adjacent dates; and carrying out superposition operation based on the residual daily mileage difference value after filtering, and correcting the mileage value of the current vehicle at the end of the running on the current date.
Optionally, the filtering the range difference value beyond the second preset range includes: and if the current daily mileage difference value is smaller than zero or the ratio of the current daily mileage difference value to the corresponding date interval is larger than a preset daily average driving threshold value, filtering the current daily mileage difference value as an abnormal value.
Optionally, the preset average daily driving threshold is obtained by the following method: acquiring reference mileage values of a plurality of target vehicles when the target vehicles run on the current date, wherein the target vehicles are the same as the current vehicles in type, and the reference mileage values are not subjected to abnormal jump; calculating the average daily driving mileage of each target vehicle based on the reference mileage value of each target vehicle; and taking the maximum value of the average daily driving mileage of each target vehicle as the average daily driving threshold value.
Optionally, before filtering the mileage difference value exceeding the first preset range in the mileage difference value between the mileage values reported from the adjacent moments, the method further includes: judging whether time messages corresponding to a plurality of mileage values reported by a current vehicle belong to the current date or not; and eliminating mileage values of which the time message does not belong to the current date.
Optionally, if the mileage difference between the mileage values reported at adjacent moments of the current vehicle includes a mileage difference exceeding a first preset range, or if the mileage difference between the single day mileage values of adjacent dates includes a day mileage difference exceeding a second preset range, marking the current vehicle as an abnormal vehicle.
According to a second aspect, an embodiment of the present application provides an apparatus for acquiring vehicle mileage data, the apparatus including: the data acquisition module is used for acquiring a plurality of mileage values reported by the current vehicle in the current date; the abnormal data filtering module is used for filtering the mileage difference value exceeding a first preset range from the mileage difference value between the mileage values reported at adjacent moments; and the correction module is used for calculating the mileage value of the current vehicle at the end of the running on the current date in a superposition mode based on the mileage difference value left after the filtering.
According to a third aspect, an embodiment of the present application provides an electronic device, including: the system comprises a memory and a processor, wherein the memory and the processor are in communication connection, the memory stores computer instructions, and the processor executes the computer instructions, thereby executing the method in the first aspect or any optional implementation manner of the first aspect.
According to a fourth aspect, embodiments of the present application provide a computer readable storage medium storing computer instructions for causing the computer to perform the method of the first aspect, or any one of the alternative embodiments of the first aspect.
The technical scheme provided by the application has the following advantages:
according to the technical scheme provided by the application, all mileage values reported by the current date are obtained by taking the current date as a reference, the mileage values are sequentially arranged according to the reporting time, and the mileage difference value of the adjacent mileage values is calculated. According to the comparison situation of the mileage difference value and the first preset range, the mileage value of the abnormal jump is accurately positioned, the mileage difference value exceeding the first preset range caused by the abnormal jump is filtered, and the rest mileage difference value and the mileage value of the first time message of the current date are used for superposition operation, so that the mileage value of the current vehicle at the end of the running of the current date is corrected, and the influence of the mileage value of the abnormal jump is filtered. When the maintenance personnel reads the data each time, the mileage data of the vehicle at the end of daily driving is read only, the accuracy of the mileage data is improved, and the reliability of the subsequent maintenance strategy establishment of the vehicle enterprise is further ensured.
In addition, the embodiment of the application also carries out the correction steps on the mileage values of all the dates except the current date, and corrects the mileage values of the current vehicle to the end of each day to obtain the accurate mileage value of each day. And then filtering the daily mileage difference value of the single daily mileage value between adjacent dates, removing the daily mileage difference value exceeding a second preset range, and performing superposition operation on the residual daily mileage difference value after filtering by taking the time of the automobile from the first running as a reference, thereby obtaining a corrected and more accurate mileage value of the current vehicle on the current date, and further improving the accuracy of reading mileage data by maintenance personnel.
Drawings
The features and advantages of the present application will be more clearly understood by reference to the accompanying drawings, which are illustrative and should not be construed as limiting the application in any way, in which:
FIG. 1 is a schematic diagram showing steps of a method for acquiring vehicle mileage data according to an embodiment of the present application;
FIG. 2 is a schematic diagram showing a structure of an apparatus for acquiring mileage data of a vehicle according to an embodiment of the present application;
fig. 3 shows a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, based on the embodiments of the application, which a person skilled in the art would obtain without making any inventive effort, are within the scope of the application.
Referring to fig. 1, in one embodiment, a method for acquiring vehicle mileage data specifically includes the following steps:
step S101: and acquiring a plurality of mileage values reported by the current vehicle in the current date.
Step S102: and filtering the mileage difference value exceeding the first preset range from the mileage difference value between the mileage values reported at adjacent moments.
Step S103: and superposing and calculating the mileage value of the current vehicle at the end of the running on the current date based on the mileage difference value left after the filtering.
Specifically, the vehicle uploads data such as vehicle mileage, time message and the like to the cloud platform for storage through the TBOX, when the maintenance personnel reads mileage data of the current vehicle on the current date from the cloud platform, the cloud platform does not directly return a message with the latest current date to the user, but uses the current date as a reference (usually the current date is the date closest to the data read by the maintenance personnel, and because the vehicle is likely to be running on the day of the reading operation and has a large data change possibility, the current date in the embodiment refers to the day before the reading operation date, but not limited to the day, the current date can also be any day after the vehicle generates mileage data), the cloud platform automatically calls all mileage values reported by the current date, and sequentially arranges the mileage values according to the reporting time, so as to calculate mileage difference values of adjacent mileage values. For example: the mileage data sequence reported by the automobile on the current date is as follows: 8:00AM 2000km, 9:00AM 2050km, 11:00AM 2150km, 14:00PM 1550km, and 15:00PM 1600km, then subtracting the previous mileage value from the next mileage value, and calculating the mileage difference value of the adjacent mileage values to obtain the following sequence: 50km, 100km, -600km, 50km. And then, the cloud platform compares each mileage difference value with a preset standard mileage difference value threshold value 'first preset range', so that the mileage value of the abnormal jump is accurately positioned, and the mileage difference value exceeding the first preset range due to the abnormal jump is filtered out. For example, in the above example, the abnormal mileage difference is found to be-600 km through comparison, so that the mileage difference is filtered out. And then performing superposition operation by using the remaining mileage difference value and the mileage value of the first time message of the current date, for example: the first time message is 8:00AM 2000km, the sum of 2000km, 50km, 100km and 50km is calculated, and the mileage value of the current date is 2200km. Therefore, the mileage value of the current vehicle at the end of the running on the current date is corrected, and the influence of the abnormal jump mileage value is filtered. Based on the steps, the cloud platform returns the corrected mileage value to the maintenance personnel, so that the corrected mileage data is read only when the vehicle runs every day, the accuracy of the mileage data is improved, and the reliability of the maintenance strategy formulated by the vehicle enterprise is further ensured.
Specifically, in this embodiment, the first preset range is a value range smaller than zero or larger than an effective speed per hour range, and the effective speed per hour range is a distance traveled by the current vehicle at the maximum speed per hour in a period corresponding to the current mileage difference. Specifically, when the mileage difference value is smaller than zero, the mileage value reported at the next moment is smaller than the mileage value reported at the previous moment, so that the abnormal condition of the mileage value rewinding occurs, therefore, the mileage value reported at the next moment is an abnormal value, the mileage difference value corresponding to the mileage value at the next moment subtracted from the mileage value at the previous moment cannot be used as a parameter of superposition operation, and filtering is needed. In another case, when the mileage difference exceeds the product of the time period and the maximum speed per hour, the mileage value reported by the vehicle at the next moment is represented to be in excessive jump. For example: assuming that the maximum speed per hour of the current vehicle is 120km/h, the mileage difference between the mileage value at the next moment and the mileage value at the last moment is 1000km, the corresponding time is 4h,120km/h is 4 h=480 km, the mileage difference reaches 1000km, and the distance that the vehicle can not reach when running at full load is reached, so that the mileage difference larger than the effective speed per hour range is filtered. And finally, calculating the sum of the mileage difference value left by filtering and the mileage value of the first time message of the current date, and obtaining the corrected accurate mileage value when the running of the current date is finished, thereby avoiding the situation that the latest time message is directly read as the jump mileage value in the prior art.
Specifically, in an embodiment, the method for acquiring vehicle mileage data provided by the embodiment of the application further includes the following steps:
step one: and acquiring a single-day mileage value of the current vehicle at the end of driving on each date before the current date.
Step two: and filtering the mileage difference value exceeding the second preset range from the mileage difference value between the mileage values of the adjacent dates.
Step three: and (3) performing superposition operation based on the residual daily mileage difference value after filtering, and correcting the mileage value of the current vehicle at the end of the running on the current date.
Specifically, in the present embodiment, the operations of steps S101 to S103 are performed on the mileage values in each date from the time when the mileage data is generated by the current vehicle, so as to obtain the mileage value corresponding to the current vehicle at the end of the travel on the current date and each other date, that is, the single-day mileage value. Similarly, similar to the operations of steps S101 to S103 described above, the present embodiment calculates the difference of the single-day mileage values of adjacent dates, and obtains a daily mileage difference value to characterize the distance traveled by the current vehicle from the last date to the next date. And judging whether the difference value of each daily mileage exceeds a second preset range, wherein in the embodiment, the condition that the difference value of each daily mileage exceeds the second preset range comprises two conditions, namely, the difference value of each daily mileage is smaller than zero, the condition that the value of each daily mileage on the next date is smaller than the value of each daily mileage on the last date due to abnormal mileage jump is represented, and the increment rule of the mileage values is not met. In another case, the ratio of the daily mileage difference value to the corresponding date interval is larger than the preset daily average running threshold value, the fact that the next date of the reported mileage data is today is assumed that the previous date of the reported mileage data is 5 days before the next date of the reported mileage data is 5 days in the middle is assumed that the daily mileage difference value is the mileage difference value of 5 days, so that the ratio of the daily mileage difference value to 5 is calculated to obtain the daily average running mileage of the current vehicle, the calculated daily average running mileage is compared with the preset daily average running threshold value, the daily mileage difference value is considered to be in a reasonable range as long as the preset daily average running threshold value is not exceeded, and if the preset daily average running threshold value is exceeded, the daily mileage difference value is reasonably judged to be too large due to the large increase jump of the mileage data. The preset average daily driving threshold can be 2 times of average daily driving mileage of the same vehicle type and nominal mileage of the current vehicle type. And finally, eliminating the daily mileage difference value exceeding the second preset range, and adding the filtered residual daily mileage difference value and the mileage value uploaded by the vehicle on the first day, so as to further correct the mileage value of the current vehicle at the end of the running on the current date, thereby further improving the accuracy of mileage data.
The method is described by a practical application scene: suppose that the current vehicle is traveling for the first time from 2022, 5, month 1 and reports data to the cloud platform. Based on the data of the cloud platform, the single-day mileage value of each date of the current vehicle is calculated through the steps S101 to S103 as follows: 2000km for 5 months 1, 2500km for 5 months 3, 5000km for 5 months 5, 5100km for 5 months 6, the calculated mileage difference sequence is: 500km, 2500km and 100km, the difference value of three daily mileage is larger than zero, and the first condition in the second preset range is satisfied. Assuming that the preset average daily driving threshold is 500km, the average daily driving mileage of 5 months 3 to 5 months 5 is 2500 km/2=1250 km, obviously is far greater than 500km, and does not accord with the normal driving condition, so that the difference value 2500km of the average daily mileage is an abnormal value, the difference value needs to be removed, the corrected mileage value of the current vehicle after stopping to the end of 5 months 6 is 2000km of the mileage value of 5 months 1, and the difference values 500km and 100km are overlapped, and are equal to 2600km.
Specifically, in an embodiment, the step of obtaining the preset average day driving threshold includes:
step four: and acquiring reference mileage values when a plurality of target vehicles are stopped to the end of the running on the current date, wherein the target vehicles are the same as the current vehicle in type, and the reference mileage values do not have abnormal jump.
Step five: the average daily driving mileage of each target vehicle is calculated based on the reference mileage value of each target vehicle.
Step six: the maximum value of the average driving range of each target vehicle is taken as the average driving threshold value.
Specifically, in this embodiment, first, the reference mileage values of a plurality of other vehicles identical to the current vehicle model number are extracted from the cloud, and the reference mileage values are accurate values where no abnormal jump occurs. In the present embodiment, the process of determining whether the jump occurs in the reference mileage value may be performed based on the above-described processes of steps S101 to S103 and steps one to three. Assuming that the mileage data of a vehicle is not beyond the mileage difference value in the first preset range in the mileage difference values between the mileage values reported in adjacent moments after the processes of the steps S101 to S103; and after the processes from the first step to the third step, the daily mileage difference value exceeding the second preset range does not exist in the daily mileage difference value between the single daily mileage values of the adjacent dates. The vehicle is considered to be the target vehicle and the reference mileage value of the vehicle is an accurate value where no abnormal jump occurs. And then, calculating the difference value between the mileage of the last report platform and the mileage of the first report platform of each target vehicle, and then calculating the ratio of the difference value to the date difference between the last access platform and the first access platform, thereby obtaining the daily average driving mileage of each target vehicle. And finally, sorting the daily average driving mileage of all the target vehicles, and obtaining the maximum value of the daily average driving mileage of the vehicle model as the daily average driving threshold of the vehicle model. Based on the above, in the first to third steps, once the average daily driving distance calculated by the current vehicle is greater than the average daily driving threshold, the average daily driving distance of the current vehicle is represented to be more than the maximum average daily driving distance under the extreme condition of the vehicle type, the average daily driving distance is obviously not in accordance with the normal driving rule of the vehicle, the corresponding average daily driving distance difference value is an abnormal value, the occurrence of false alarm is avoided, the accuracy of filtering the abnormal average daily driving distance difference value is improved, and the accuracy of acquiring the vehicle mileage data is further improved.
Specifically, in an embodiment, before the step S102, the method further includes the following steps:
step seven: and judging whether the time message corresponding to the mileage values reported by the current vehicle belongs to the current date or not.
Step eight: and eliminating mileage values of which the time message does not belong to the current date.
Specifically, in this embodiment, there is a high probability that, among a plurality of mileage values reported by a current vehicle in a current date, there is a mileage value delayed to report due to a network problem, for example, the current date is number 6 month 1, and the mileage value reported by the current date includes a mileage value with a time message of number 5 month 25.
Specifically, in an embodiment, if the mileage difference between the mileage values reported at adjacent moments of the current vehicle includes a mileage difference exceeding a first preset range, an abnormality label is marked on the current vehicle. If the daily mileage difference value between the daily mileage values of the adjacent dates comprises the daily mileage difference value exceeding a second preset range, an abnormal label is marked on the current vehicle. If the current vehicle contains an abnormal tag, the current vehicle is considered to be an abnormal vehicle, and the odometer or the communication module of the current vehicle is possibly problematic because the current vehicle is a vehicle with abnormal trip of mileage, and repair and maintenance may be required. Based on the label, reference information is provided for maintenance personnel, and the accuracy of the maintenance strategy formulated by the following vehicle enterprise is further improved.
Through the steps, the technical scheme provided by the application takes the current date as a reference, acquires all mileage values reported by the current date, sequentially arranges the mileage values according to the reporting time, and calculates the mileage difference value of the adjacent mileage values. According to the comparison situation of the mileage difference value and the first preset range, the mileage value of the abnormal jump is accurately positioned, the mileage difference value exceeding the first preset range caused by the abnormal jump is filtered, and the rest mileage difference value and the mileage value of the first time message of the current date are used for superposition operation, so that the mileage value of the current vehicle at the end of the running of the current date is corrected, and the influence of the mileage value of the abnormal jump is filtered. When the maintenance personnel reads the data each time, the mileage data of the vehicle at the end of daily driving is read only, the accuracy of the mileage data is improved, and the reliability of the subsequent maintenance strategy establishment of the vehicle enterprise is further ensured.
In addition, the embodiment of the application also carries out the correction steps on the mileage values of all the dates except the current date, and corrects the mileage values of the current vehicle to the end of each day to obtain more accurate mileage values of each day. And then filtering the daily mileage difference value of the single daily mileage value between adjacent dates, removing the daily mileage difference value exceeding a second preset range, and performing superposition operation on the residual daily mileage difference value after filtering by taking the time of the automobile from the first running as a reference, thereby obtaining a more accurate mileage value of the current vehicle after correcting the current date, and further improving the accuracy of reading mileage data by maintenance personnel.
As shown in fig. 2, the present embodiment further provides an apparatus for acquiring vehicle mileage data, where the apparatus includes:
the data acquisition module 101 is configured to acquire a plurality of mileage values reported by a current vehicle on a current date. For details, refer to the related description of step S101 in the above method embodiment, and no further description is given here.
The abnormal data filtering module 102 is configured to filter the mileage difference value exceeding the first preset range from the mileage difference values between the mileage values reported at adjacent moments. For details, refer to the related description of step S102 in the above method embodiment, and no further description is given here.
And the correction module 103 is used for calculating the mileage value of the current vehicle at the end of the running on the current date in a superposition mode based on the mileage difference value left after the filtering. For details, see the description of step S103 in the above method embodiment, and the details are not repeated here.
The device for acquiring the vehicle mileage data provided by the embodiment of the present application is used for executing the method for acquiring the vehicle mileage data provided by the above embodiment, and its implementation manner is the same as that of the principle, and details are referred to the related description of the above method embodiment and are not repeated.
Through the cooperation of the components, the technical scheme provided by the application takes the current date as a reference to acquire all mileage values reported by the current date, and the mileage values are sequentially arranged according to the reporting time to calculate the mileage difference value of the adjacent mileage values. According to the comparison situation of the mileage difference value and the first preset range, the mileage value of the abnormal jump is accurately positioned, the mileage difference value exceeding the first preset range caused by the abnormal jump is filtered, and the rest mileage difference value and the mileage value of the first time message of the current date are used for superposition operation, so that the mileage value of the current vehicle at the end of the running of the current date is corrected, and the influence of the mileage value of the abnormal jump is filtered. When the maintenance personnel reads the data each time, the mileage data of the vehicle at the end of daily driving is read only, the accuracy of the mileage data is improved, and the reliability of the subsequent maintenance strategy establishment of the vehicle enterprise is further ensured.
In addition, the embodiment of the application also carries out the correction steps on the mileage values of all the dates except the current date, and corrects the mileage values of the current vehicle to the end of each day to obtain more accurate mileage values of each day. And then filtering the daily mileage difference value of the single daily mileage value between adjacent dates, removing the daily mileage difference value exceeding a second preset range, and performing superposition operation on the residual daily mileage difference value after filtering by taking the time of the automobile from the first running as a reference, thereby obtaining a more accurate mileage value of the current vehicle after correcting the current date, and further improving the accuracy of reading mileage data by maintenance personnel.
Fig. 3 shows an electronic device according to an embodiment of the application, comprising a processor 901 and a memory 902, which may be connected via a bus or otherwise, in fig. 3 by way of example.
The processor 901 may be a central processing unit (Central Processing Unit, CPU). The processor 901 may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or a combination thereof.
The memory 902 is used as a non-transitory computer readable storage medium for storing non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules corresponding to the methods in the method embodiments described above. The processor 901 executes various functional applications of the processor and data processing, i.e., implements the methods in the above-described method embodiments, by running non-transitory software programs, instructions, and modules stored in the memory 902.
The memory 902 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, at least one application program required for a function; the storage data area may store data created by the processor 901, and the like. In addition, the memory 902 may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, memory 902 optionally includes memory remotely located relative to processor 901, which may be connected to processor 901 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
One or more modules are stored in the memory 902 that, when executed by the processor 901, perform the methods of the method embodiments described above.
The specific details of the electronic device may be correspondingly understood by referring to the corresponding related descriptions and effects in the above method embodiments, which are not repeated herein.
It will be appreciated by those skilled in the art that implementing all or part of the above-described methods in the embodiments may be implemented by a computer program for instructing relevant hardware, and the implemented program may be stored in a computer readable storage medium, and the program may include the steps of the embodiments of the above-described methods when executed. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a Flash Memory (Flash Memory), a Hard Disk (HDD), or a Solid State Drive (SSD); the storage medium may also comprise a combination of memories of the kind described above.
Although embodiments of the present application have been described in connection with the accompanying drawings, various modifications and variations may be made by those skilled in the art without departing from the spirit and scope of the application, and such modifications and variations are within the scope of the application as defined by the appended claims.
Claims (6)
1. A method of acquiring vehicle mileage data, the method comprising:
acquiring a plurality of mileage values reported by a current vehicle in a current date;
filtering the mileage difference value exceeding a first preset range from the mileage difference value between the mileage values reported at adjacent moments; the filtering the mileage difference value beyond the first preset range includes: filtering a mileage difference value smaller than zero or larger than an effective speed per hour range, wherein the effective speed per hour range is a distance travelled by the current vehicle in a time period corresponding to the current mileage difference value at the maximum speed per hour;
superposing and calculating the mileage value of the current vehicle at the end of the running on the current date based on the mileage difference value left after filtering;
the method further comprises the steps of: acquiring a single-day mileage value of a current vehicle at the end of driving on each date before the current date; filtering the daily mileage difference value exceeding a second preset range from the daily mileage difference value between the daily mileage values of adjacent dates; performing superposition operation based on the filtered residual daily mileage difference value, and correcting the mileage value of the current vehicle at the end of the running on the current date;
the filtering the difference value of the mileage beyond the second preset range comprises the following steps: if the current daily mileage difference value is smaller than zero or the ratio of the current daily mileage difference value to the corresponding date interval is larger than a preset daily average driving threshold value, filtering the current daily mileage difference value as an abnormal value;
the preset average day driving threshold value is obtained by the following steps: acquiring reference mileage values of a plurality of target vehicles when the target vehicles run on the current date, wherein the target vehicles are the same as the current vehicles in type, and the reference mileage values are not subjected to abnormal jump; calculating the average daily driving mileage of each target vehicle based on the reference mileage value of each target vehicle; and taking the maximum value of the average daily driving mileage of each target vehicle as the average daily driving threshold value.
2. The method of claim 1, wherein, among the mileage differences between mileage values reported from adjacent moments, before filtering mileage differences exceeding a first preset range, the method further comprises:
judging whether time messages corresponding to a plurality of mileage values reported by a current vehicle belong to the current date or not;
and eliminating mileage values of which the time message does not belong to the current date.
3. The method according to any one of claims 1-2, wherein the current vehicle is marked as an abnormal vehicle if the mileage difference between the mileage values reported at the time of the current vehicle's adjacency includes a mileage difference exceeding a first preset range, or the mileage difference between the single day mileage values of the adjacency date includes a daily mileage difference exceeding a second preset range.
4. An apparatus for obtaining vehicle mileage data, the apparatus comprising:
the data acquisition module is used for acquiring a plurality of mileage values reported by the current vehicle in the current date;
the abnormal data filtering module is used for filtering the mileage difference value exceeding a first preset range from the mileage difference value between the mileage values reported at adjacent moments; the filtering the mileage difference value beyond the first preset range includes: filtering a mileage difference value smaller than zero or larger than an effective speed per hour range, wherein the effective speed per hour range is a distance travelled by the current vehicle in a time period corresponding to the current mileage difference value at the maximum speed per hour;
the correction module is used for superposing and calculating the mileage value of the current vehicle when the running on the current date is finished based on the mileage difference value left after the filtering;
the apparatus further comprises: acquiring a single-day mileage value of a current vehicle at the end of driving on each date before the current date; filtering the daily mileage difference value exceeding a second preset range from the daily mileage difference value between the daily mileage values of adjacent dates; performing superposition operation based on the filtered residual daily mileage difference value, and correcting the mileage value of the current vehicle at the end of the running on the current date;
the filtering the difference value of the mileage beyond the second preset range comprises the following steps: if the current daily mileage difference value is smaller than zero or the ratio of the current daily mileage difference value to the corresponding date interval is larger than a preset daily average driving threshold value, filtering the current daily mileage difference value as an abnormal value;
the preset average day driving threshold value is obtained by the following steps: acquiring reference mileage values of a plurality of target vehicles when the target vehicles run on the current date, wherein the target vehicles are the same as the current vehicles in type, and the reference mileage values are not subjected to abnormal jump; calculating the average daily driving mileage of each target vehicle based on the reference mileage value of each target vehicle; and taking the maximum value of the average daily driving mileage of each target vehicle as the average daily driving threshold value.
5. An electronic device, comprising:
a memory and a processor in communication with each other, the memory having stored therein computer instructions, the processor executing the computer instructions to perform the method of any of claims 1-3.
6. A computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-3.
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