CN116611619A - Vehicle reliability assessment method, device, equipment and storage medium - Google Patents

Vehicle reliability assessment method, device, equipment and storage medium Download PDF

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CN116611619A
CN116611619A CN202310622732.3A CN202310622732A CN116611619A CN 116611619 A CN116611619 A CN 116611619A CN 202310622732 A CN202310622732 A CN 202310622732A CN 116611619 A CN116611619 A CN 116611619A
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vehicle
mileage
driving mileage
driving
fault
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王翠
王斌
侯献晓
柳亮
邱波
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Dongfeng Motor Corp
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Abstract

The application discloses a vehicle reliability assessment method, a device, equipment and a storage medium, wherein the method comprises the following steps: acquiring the driving mileage of the fault vehicle according to the derived vehicle maintenance and/or service data, and calculating the average driving mileage of the vehicle; estimating the deleted driving mileage of the vehicle which does not have faults according to the average driving mileage of the vehicle; determining the total driving mileage of the vehicle according to the driving mileage and the deleted driving mileage of the fault vehicle; and calculating a reliability index of the vehicle by using the total driving mileage of the vehicle so as to evaluate the reliability of the vehicle. The application can calculate the average driving mileage of the vehicle by using the data of the maintenance of the vehicle, supplement the mileage distribution of the deleted data and fully consider the deleted data of the maintenance, thereby accurately evaluating the reliability level of the vehicle.

Description

Vehicle reliability assessment method, device, equipment and storage medium
Technical Field
The present application relates to the field of vehicle security technologies, and in particular, to a vehicle reliability assessment method, device, equipment, and storage medium.
Background
The reliability is an important evaluation index of the automobile quality, the reliability of the product is improved, the market competitiveness of a host factory can be effectively improved, the maintenance and/or service data of the 4S shop comprises information such as maintenance, service and complaint of the automobile, and the like, and the reliability is an important source of the reliability data. At present, reliability evaluation of vehicles is carried out by carrying out reliability index calculation on enterprise maintenance data, missing data is not considered, and reliability evaluation of vehicles is lack of accuracy.
Therefore, how to accurately evaluate the reliability level of a vehicle is a technical problem that needs to be solved at present.
Disclosure of Invention
The application mainly aims to provide a vehicle reliability assessment method, device, equipment and storage medium, which can calculate the average driving mileage of a vehicle by using vehicle maintenance and/or service data, supplement the mileage distribution of deleted data and fully consider the deleted data of warranty so as to accurately assess the reliability level of the vehicle.
In a first aspect, the present application provides a vehicle reliability evaluation method, the method comprising the steps of:
acquiring the driving mileage of the fault vehicle according to the derived vehicle maintenance and/or service data, and calculating the average driving mileage of the vehicle;
estimating the deleted driving mileage of the vehicle which does not have faults according to the average driving mileage of the vehicle;
determining the total driving mileage of the vehicle according to the driving mileage and the deleted driving mileage of the fault vehicle;
and calculating a reliability index of the vehicle by using the total driving mileage of the vehicle so as to evaluate the reliability of the vehicle.
With reference to the first aspect, as an optional implementation manner, the method is according to the formulaThe deleted driving mileage of the vehicle without failure is estimated, wherein mu is the average driving mileage of the month, and the difference between the expiration date and the sales date is the driving time of the vehicle.
With reference to the first aspect, as an optional implementation manner, the deleted driving range of the vehicle that does not fail is estimated according to a formula (N-N) (expiration date-sales date) by month average driving range, where N-N is the number of vehicles that do not fail for the first time.
With reference to the first aspect, as an optional implementation manner, the total driving range of the vehicle is determined according to a sum of the driving range of the faulty vehicle and the deleted driving range of the non-faulty vehicle.
With reference to the first aspect, as an optional implementation manner, the method is according to the formulaCalculating the maximum fault mileage of each fault vehicle, wherein; s is(s) i The last fault mileage of each fault vehicle;
according to the formula Calculating the driving mileage between the last failure date of each failed vehicle and the expiration date;
and determining the total driving mileage of the vehicle by the sum of the maximum driving mileage of each faulty vehicle, the driving mileage from the last fault of each faulty vehicle to the expiration date and the deleted driving mileage of the non-faulty vehicle.
With reference to the first aspect, as an optional implementation manner, based on maintenance and/or service data of the vehicle, an average annual driving distance of the same type of vehicle is obtained, and a ratio between a corresponding driving distance and a month number at a preset percentage position is calculated to calculate an average monthly driving distance of the same type of vehicle.
With reference to the first aspect, as an optional implementation manner, the vehicle repair and/or maintenance data is cleaned to correct and reject the data of missing sales date and failure date;
when the sales date of the vehicle is missing, replacing the sales date with the production date of the vehicle;
and when the failure date is smaller than the sales date, eliminating the failure date from the vehicle repair and/or maintenance data.
In a second aspect, the present application provides a vehicle reliability evaluation apparatus comprising:
a calculation unit for acquiring the driving mileage of the faulty vehicle according to the derived vehicle maintenance and/or service data, and calculating the average driving mileage of the vehicle;
the estimating unit is used for estimating the deleted driving mileage of the vehicle which does not have faults according to the average driving mileage of the vehicle;
a determining unit for determining a total driving distance of the vehicle according to the driving distance and the deleted driving distance of the fault vehicle;
the calculation unit is further used for calculating a reliability index of the vehicle by using the total driving mileage of the vehicle so as to evaluate the reliability of the vehicle.
In a third aspect, the present application also provides an electronic device, including: a processor; a memory having stored thereon computer readable instructions which, when executed by the processor, implement the method of any of the first aspects.
In a fourth aspect, the present application also provides a computer readable storage medium storing computer program instructions which, when executed by a computer, cause the computer to perform the method of any one of the first aspects.
The application provides a vehicle reliability evaluation method, a device, equipment and a storage medium, wherein the method comprises the following steps: acquiring the driving mileage of the fault vehicle according to the derived vehicle maintenance and/or service data, and calculating the average driving mileage of the vehicle; estimating the deleted driving mileage of the vehicle which does not have faults according to the average driving mileage of the vehicle; determining the total driving mileage of the vehicle according to the driving mileage and the deleted driving mileage of the fault vehicle; and calculating a reliability index of the vehicle by using the total driving mileage of the vehicle so as to evaluate the reliability of the vehicle. The application can calculate the average driving mileage of the vehicle by using the data of the maintenance of the vehicle, supplement the mileage distribution of the deleted data and fully consider the deleted data of the maintenance, thereby accurately evaluating the reliability level of the vehicle.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application as claimed.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.
FIG. 1 is a flow chart of a vehicle reliability evaluation method provided in an embodiment of the present application;
FIG. 2 is a schematic diagram of a vehicle reliability evaluation device according to an embodiment of the present application;
FIG. 3 is a schematic diagram of an electronic device according to an embodiment of the present application;
fig. 4 is a schematic diagram of a computer readable program medium according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the application. Rather, they are merely examples of apparatus and methods consistent with aspects of the application as detailed in the accompanying claims.
Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities.
The embodiment of the application provides a vehicle reliability assessment method, device, equipment and storage medium, which can calculate the average driving mileage of a vehicle by using the data of vehicle maintenance, supplement the mileage distribution of deleted data and fully consider the deleted data of warranty so as to accurately assess the reliability level of the vehicle.
In order to achieve the technical effects, the application has the following general ideas:
a vehicle reliability evaluation method, the method comprising the steps of:
s101: and acquiring the driving mileage of the fault vehicle according to the derived vehicle maintenance and/or service data, and calculating the average driving mileage of the vehicle.
S102: and estimating the deleted driving mileage of the vehicle which does not have faults according to the average driving mileage of the vehicle.
S103: and determining the total driving mileage of the vehicle according to the driving mileage and the deleted driving mileage of the fault vehicle.
S104: and calculating a reliability index of the vehicle by using the total driving mileage of the vehicle so as to evaluate the reliability of the vehicle.
Embodiments of the present application are described in further detail below with reference to the accompanying drawings.
Referring to fig. 1, fig. 1 is a flowchart of a vehicle reliability evaluation method provided by the present application, and as shown in fig. 1, the method includes the steps of:
step S101, obtaining the driving mileage of the fault vehicle according to the derived vehicle maintenance and/or service data, and calculating the average driving mileage of the vehicle.
Specifically, the vehicle repair and/or maintenance data includes information including a user's VIN, time of purchase, location of the vehicle, and information regarding the part, cause of failure, mileage of failure, phenomenon of failure, amount of maintenance, etc. for the repair and/or maintenance at the 4s store. It will be appreciated that from the derived vehicle repair and/or maintenance data, the mileage of the failed vehicle can be obtained and from the vehicle repair and/or maintenance data, the average mileage of the vehicle can be calculated. It is convenient to understand and exemplify that, according to the maintenance and/or maintenance data of the vehicle, the minimum maintenance mileage (time-to-sell time) of the failed vehicle is obtained as the first failure driving mileage of the failed vehicle,
alternatively, the mileage after its maximum failure is estimated from the data of the failed vehicle itself.
And calculating the driving mileage from the last failure date to the expiration date of each failure vehicle according to the maximum failure mileage of each failure vehicle, and obtaining the driving mileage of the failure vehicle through the sum of the maximum failure mileage of each failure vehicle and the driving mileage from the last failure to the expiration date of each failure vehicle. Note that the mileage after the maximum failure to the deadline is estimated by the average mileage of the failed vehicle itself.
Further, the average monthly mileage is calculated as: and (3) extracting maintenance and/or maintenance data of the users, calculating the average monthly driving mileage of different users of the same vehicle type, fitting the distribution, obtaining the average annual driving mileage of the users of the vehicle type, and dividing the corresponding mileage at 50% of the positions by 12 to obtain the average monthly driving mileage of the users.
It should be noted that, before the vehicle repair and/or maintenance data is derived, the repair and/or maintenance data of the vehicle needs to be cleaned to correct and reject the data of the missing sales date and the failure date, wherein the cleaning includes correction of the missing data and rejection of the error information. It should be noted that, because the data derived from the after-sales system is manually recorded, there are some erroneous data, and data cleaning is required to ensure the accuracy of the data. The cleaning mode is as follows: correction of missing data: the sales date is missing, the production date is adopted for replacement, and error information is removed: the failure date is less than the sales date, and is directly removed from the data source.
It should be noted that, because the running time of the user is calculated, the failure date minus the sales date is used, and if the sales date is missing, the production date is used instead, so as to ensure the accuracy of the data.
In one embodiment, a base database is built: the basic database comprises a regional library, a system library, an assembly library, a part library and a sales volume library. The construction of the base library can provide support for subsequent data classification processing. Wherein, regional library: the 4S shop names of the sales vehicle types are divided into areas including east China, middle China, south China, north China, south west, north west and north east.
System library: the automobile parts are divided into an engine body, an engine system, an electric control system, a transmission system, a suspension system, a steering system, a braking system and a vehicle body system according to the system. In the source data, when the reliability of a certain system is analyzed without information of the system to which the part belongs, firstly, the system library to which the part belongs is required to be used for classifying the reason piece to acquire the fault information of each system, wherein the acquired fault of each system can know the reliability level of different systems, the system with important improvement of the reliability level of the next generation vehicle type can be locked, the reliability index can be checked in a classified manner, the fault information of each system can be acquired, and when the reliability of the whole vehicle is evaluated, the whole vehicle is divided into each system, and the relation from the whole vehicle to the assembly to the parts is equivalent to a layered relation, so that the reliability level of different systems/assemblies can be seen. For example, a suspension system, a steering system, an engine system, a vehicle body system and the like are arranged under the whole vehicle, and a wheel assembly is arranged under the steering system and comprises a tire and a wheel hub.
An assembly library: when the reliability of a certain assembly is analyzed, firstly, the system library to which the parts belong is used for classifying the reason parts to acquire the fault information of each assembly.
Part library: on the same vehicle, there are typically multiple identical parts, and the source data does not distinguish between these identical parts, so the parts library is required to provide the number of parts in a vehicle.
Sales volume library: the sales amount is distinguished according to the vehicle type, the production month and the sales month, and the sales amount information of the vehicle is not contained in the warranty database, so that the influence of the deleted data on the reliability index cannot be considered, and therefore, the sales amount database needs to be provided, and the reliability index considering the deleted data is calculated.
In one embodiment, the reliability indexes of the whole vehicle, the system and the parts are extracted according to the region, the vehicle type and the production time: according to the basic database established in the step, according to a reliability index calculation method, reliability indexes of different areas and different production months are respectively extracted, and according to data results, whether the reliability level is reduced after parts sensitive to the areas and new schemes are introduced into a market can be identified.
Step S102, estimating the deleted driving mileage of the vehicle which does not have faults according to the average driving mileage of the vehicle.
Specifically, the estimated deleted driving mileage of the vehicle without failure can be calculated by two modes according to the formula(expiration date-sales date), the deleted mileage of the vehicle that did not fail is estimated, where mu is the average mileage per month, and where the difference between the expiration date and the sales date is the travel time of the vehicle.
And estimating the deleted driving mileage of the vehicle which does not have the fault according to a formula (N-N) (expiration date-sales date) month average driving mileage, wherein N-N is the number of vehicles which do not have the first fault.
It should be noted that the missed mileage of the vehicle without failure may be directly estimated by using the average monthly mileage calculated by the maintenance data.
It can be understood that the deleted driving mileage of the vehicle is calculated according to the average driving mileage of the vehicle, so that the vehicle is convenient to understand and exemplify, and if N vehicles sold in a certain production time period have faults, and data of N-N vehicles are deleted, the N-N vehicles can be considered to not fail for the first time. The deleted mileage of the non-faulty vehicle is calculated according to the product between the number of vehicles without the first fault and the running time of the non-faulty vehicle and the calculated average monthly mileage. It will be appreciated that the existing mileage is utilized to supplement the unknown mileage, i.e., the deleted mileage.
For example, 100 users exist at present, 3 users have a fault in vehicles, the store is maintained, the mileage information of the three users is known, the mileage information of the remaining 97 users belongs to deleted data, the average monthly mileage of the whole users is obtained through maintenance and/or service data, and the mileage of 97 users is estimated through the average monthly mileage and the running time (expiration date-sales date).
Optionally, the market maintenance and/or maintenance data after cleaning is calculated according to the definition of the reliability index, and before the reliability index is calculated, the average driving mileage of the vehicle is counted for supplementing the deleted data. It will be appreciated that the mileage of a non-shop-serviced vehicle is estimated by maintaining the vehicle's average mileage, and for a shop-serviced vehicle, the mileage characteristic of itself is estimated.
And step 103, determining the total driving mileage of the vehicle according to the driving mileage and the deleted driving mileage of the fault vehicle.
Specifically, the total driving range of the vehicle is determined according to the sum of the driving range of the faulty vehicle and the deleted driving range of the non-faulty vehicle.
For ease of understanding and illustration, the total range of a vehicle is composed of two parts:
and obtaining the mileage before the first failure of the failed vehicle according to the maintenance and/or maintenance data, and calculating the deleted mileage of the non-failed vehicle according to the average mileage per month by using a formula (N-N) (expiration date-sales date), wherein N-N is the number of vehicles without the first failure.
The total travel distance of the vehicle (total travel distance before occurrence of the first failure) is determined by the first-time failure travel distance of the failed vehicle (travel distance of the failed vehicle) and the deleted travel distance.
In one embodiment, the formula is based onCalculating the maximum fault mileage of each fault vehicle, wherein; s is(s) i The last fault mileage of each fault vehicle;
according to the formula Calculating the driving mileage between the last failure date of each failed vehicle and the expiration date;
and determining the total driving mileage of the vehicle by the sum of the maximum driving mileage of each faulty vehicle, the driving mileage from the last fault of each faulty vehicle to the expiration date and the deleted driving mileage of the non-faulty vehicle.
And the total driving mileage of the vehicle is determined by the sum of the maximum driving mileage of each fault vehicle, the driving mileage of each fault vehicle between the last time of the fault and the expiration date and the deleted driving mileage of the vehicle without the fault. Wherein the sum of the maximum mileage of each faulty vehicle and the mileage between the last time each faulty vehicle failed to the expiration date can be understood as the mileage of the faulty vehicle.
And step S104, calculating a reliability index of the vehicle by using the total driving mileage of the vehicle so as to evaluate the reliability of the vehicle.
Specifically, the reliability indexes of the whole vehicle, the system and the parts are divided into two main types, namely a time-related index and a mileage-related index, wherein the time-related index is taken as a unit of driving month, and the mileage-related index is taken as a unit of km.
The reliability of the vehicle is calculated through the time related index, and the reliability of the vehicle can be calculated through the mileage related index.
According to the vehicle maintenance and/or service data, acquiring the number of vehicles with first faults and the total number of faults of the vehicles; calculating the reliability index of the vehicle according to the ratio of the total driving mileage of the first failure of the vehicle to the number of vehicles with the first failure; and calculating the reliability index of the vehicle according to the ratio of the total driving mileage of the vehicle to the total failure times of the vehicle.
It is to be understood that there are two ways to calculate the vehicle reliability index, one is MTTFF, i.e., average time to first failure (mean time to first failure), which is a basic reliability parameter for a repairable product. The measuring method comprises the following steps: under the specified conditions, the ratio of the total number of product life units from the beginning of use to the first failure of the product to the total number of first failure of the product. For non-repairable systems, MTTFF is equal to MTTF (mean time to failure), where MTTFF can be obtained by integration by the following equation.
In the actual calculation process, for three different calculation objects of the whole vehicle, the system and the parts, the calculation method of MTTFF is also different, and the specific calculation method is as follows:
complete vehicle MTTFF calculation: MTTFF = first failure total mileage/total failure vehicle number;
system MTTFF calculation: MTTFF = first failure mileage of the system/number of systems failed;
part MTTFF calculation: MTTFF = part first failure mileage/number of parts failed.
In one embodiment, the MTTFF is equal to the total driving distance before the first failure occurs divided by the number of vehicles with the first failure, the number of vehicles with the first failure can be directly obtained according to the maintenance and/or maintenance data, and for the same vehicle with multiple failure data, the minimum maintenance distance (the failure time-sales time) of the vehicle is taken as the first failure distance of the failed vehicle, and the total driving distance of the N vehicles before the first failure occurs is composed of two parts: the first failure front mileage of the failure vehicle and the deleted vehicle driving mileage, wherein the first failure front mileage of the failure vehicle can be directly obtained according to maintenance and/or maintenance data.
In addition, the mean time between failure (mean time between failures), also an essential reliability parameter for the repairable product, can be passed through the MTBF. The measuring method comprises the following steps: and under the specified condition and within the specified period, calculating the reliability index of the vehicle by comparing the total number of product life units with the failure times.
There are different calculation methods for MTBF for different calculation objects. The specific calculation method for different objects is as follows:
complete vehicle MTBF calculation: mtbf=total range/total number of faults
System MTBF calculation: mtbf=total driving range/total number of faults per system
Part MTBF calculation: mtbf= (total driving range. Number of parts per vehicle)/total number of failures of the parts.
MTBF calculation method: if the total sales of one vehicle is N, the number of the fault vehicles is N, and the last fault mileage of each fault vehicle is si. The result, according to its MTBF definition, is equal to the total mileage of the N vehicles divided by the total number of failures of the N vehicles.
Therefore, the total number of times of the N vehicles in failure can be easily obtained according to the total number of times of maintenance cases, namely the total number of times of failure. And the total mileage of N vehicles is composed of three parts, as follows:
according to the formulaCalculating the maximum fault mileage of each fault vehicle, wherein; s is(s) i The last failure mileage for each failed vehicle.
According to the formula And calculating the driving mileage between the last failure date and the expiration date of each failed vehicle.
According to the formulaAnd calculating the deleted driving mileage of the vehicle which does not have the fault.
I.e., the sum of the maximum range of each failed vehicle and the range between the last failed vehicle and the expiration date and the deleted range of the non-failed vehicle.
The reliability index of the vehicle was evaluated for one year and three months of marketing, and the one year and three months are the deadlines.
The expiration date minus the last failure date can be understood as the travel time from the last failure date to the observation point. The last failure date minus the sales date can be understood as the travel time of the vehicle.
In one embodiment, the unit warranty cost calculation method includes: (1) Grouping the driving month sections by taking 1 month as a unit; (2) obtaining the number of vehicles in each group from the sales table; (3) Calculating the total number of vehicles with the driving mileage reaching a certain driving month; (4) Grouping the source data according to the running time (failure date-sales date), and recording the sum of the number of failed vehicles in each group and the maintenance cost corresponding to the maintenance case; (5) calculating maintenance cost in each mileage: maintenance cost/(total number of vehicles with mileage up to the number of driving months) corresponding to the number of driving months; (6) And summing all the fees before each mileage to obtain the ratio of the warranty fee to the driving mileage, and determining the warranty fee level.
Optionally, the warranty expense evaluation index: the whole car/system/parts are taken as analysis objects, and all the cost generated by fault maintenance is defined as unit maintenance cost in a half-year time interval. The ratio of warranty cost to mileage is defined as the warranty cost level of the product.
It can be understood that the application fully considers the deleted data of the maintenance, calculates the average driving mileage of the vehicle by using the data of the maintenance of the vehicle, supplements the mileage distribution of the deleted data and accurately evaluates the reliability level of the vehicle.
Referring to fig. 2, fig. 2 is a schematic diagram of a vehicle reliability evaluation apparatus according to the present application, and as shown in fig. 2, the apparatus includes:
the calculation unit 201: the method is used for acquiring the driving mileage of the fault vehicle according to the derived vehicle maintenance and/or service data and calculating the average driving mileage of the vehicle.
The estimation unit 202: the method is used for estimating the deleted driving mileage of the vehicle which does not have faults according to the average driving mileage of the vehicle.
Determination unit 203: the method is used for determining the total driving mileage of the vehicle according to the driving mileage and the deleted driving mileage of the fault vehicle.
The calculation unit 201: and the method is also used for calculating the reliability index of the vehicle by using the total driving mileage of the vehicle so as to evaluate the reliability of the vehicle.
Further, in a possible implementation manner, the calculating unit 201 is further configured to perform the following formulaThe deleted driving mileage of the vehicle without failure is estimated, wherein mu is the average driving mileage of the month, and the difference between the expiration date and the sales date is the driving time of the vehicle.
Further, in one possible implementation manner, the calculating unit 201 is further configured to estimate the deleted driving range of the vehicle that does not fail according to the average driving range of month of formula (N-N) (expiration date-sales date), where N-N is the number of vehicles that do not fail for the first time.
Further, in one possible implementation manner, the determining unit 203 is further configured to determine a total driving range of the vehicle according to a sum of the driving range of the faulty vehicle and the deleted driving range of the non-faulty vehicle.
Further, in a possible implementation manner, the determining unit 203 is further configured to perform the following formulaCalculating the maximum fault mileage of each fault vehicle, wherein; s is(s) i The last fault mileage of each fault vehicle;
according to the formula Calculating the driving mileage between the last failure date of each failed vehicle and the expiration date;
and determining the total driving mileage of the vehicle by the sum of the maximum driving mileage of each faulty vehicle, the driving mileage from the last fault of each faulty vehicle to the expiration date and the deleted driving mileage of the non-faulty vehicle.
Further, in one possible implementation manner, the calculating unit 201 is further configured to obtain an average annual mileage of the same type of vehicle based on the maintenance and/or service data of the vehicle, and calculate an average monthly mileage of the same type of vehicle by comparing the corresponding mileage at the preset percentage position with the number of months.
Further, in a possible implementation manner, the system further comprises an optimizing unit, which is used for cleaning the vehicle maintenance and/or service data so as to correct and reject the data of missing sales date and failure date;
when the sales date of the vehicle is missing, replacing the sales date with the production date of the vehicle;
and when the failure date is smaller than the sales date, eliminating the failure date from the vehicle repair and/or maintenance data.
An electronic device 300 according to this embodiment of the application is described below with reference to fig. 3. The electronic device 300 shown in fig. 3 is merely an example and should not be construed as limiting the functionality and scope of use of embodiments of the present application.
As shown in fig. 3, the electronic device 300 is embodied in the form of a general purpose computing device. Components of electronic device 300 may include, but are not limited to: the at least one processing unit 310, the at least one memory unit 320, and a bus 330 connecting the various system components, including the memory unit 320 and the processing unit 310.
Wherein the storage unit stores program code that is executable by the processing unit 310 such that the processing unit 310 performs the steps according to various exemplary embodiments of the present application described in the above-mentioned "example methods" section of the present specification.
The storage unit 320 may include a readable medium in the form of a volatile storage unit, such as a Random Access Memory (RAM) 321 and/or a cache memory 322, and may further include a Read Only Memory (ROM) 323.
The storage unit 320 may also include a program/utility 324 having a set (at least one) of program modules 325, such program modules 325 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.
Bus 330 may be one or more of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.
The electronic device 300 may also communicate with one or more external devices (e.g., keyboard, pointing device, bluetooth device, etc.), one or more devices that enable a user to interact with the electronic device 300, and/or any device (e.g., router, modem, etc.) that enables the electronic device 300 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 350. Also, electronic device 300 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet, through network adapter 360. As shown, the network adapter 360 communicates with other modules of the electronic device 300 over the bus 330. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with electronic device 300, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, including several instructions to cause a computing device (may be a personal computer, a server, a terminal device, or a network device, etc.) to perform the method according to the embodiments of the present disclosure.
According to an aspect of the present disclosure, there is also provided a computer-readable storage medium having stored thereon a program product capable of implementing the method described above in the present specification. In some possible embodiments, the various aspects of the application may also be implemented in the form of a program product comprising program code for causing a terminal device to carry out the steps according to the various exemplary embodiments of the application as described in the "exemplary methods" section of this specification, when said program product is run on the terminal device.
Referring to fig. 4, a program product 400 for implementing the above-described method according to an embodiment of the present application is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present application is not limited thereto, and in this document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer readable signal medium may include a data signal propagated in baseband or as part of a carrier wave with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).
Furthermore, the above-described drawings are only schematic illustrations of processes included in the method according to the exemplary embodiment of the present application, and are not intended to be limiting. It will be readily appreciated that the processes shown in the above figures do not indicate or limit the temporal order of these processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, for example, among a plurality of modules.
In summary, the present application provides a vehicle reliability evaluation method, device, equipment and storage medium, wherein the method includes the following steps: acquiring the driving mileage of the fault vehicle according to the derived vehicle maintenance and/or service data, and calculating the average driving mileage of the vehicle; estimating the deleted driving mileage of the vehicle which does not have faults according to the average driving mileage of the vehicle; determining the total driving mileage of the vehicle according to the driving mileage and the deleted driving mileage of the fault vehicle; and calculating a reliability index of the vehicle by using the total driving mileage of the vehicle so as to evaluate the reliability of the vehicle. The application can calculate the average driving mileage of the vehicle by using the data of the maintenance of the vehicle, supplement the mileage distribution of the deleted data and fully consider the deleted data of the maintenance, thereby accurately evaluating the reliability level of the vehicle.
The foregoing is only a specific embodiment of the application to enable those skilled in the art to understand or practice the application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

Claims (10)

1. A vehicle reliability evaluation method, characterized by comprising:
acquiring the driving mileage of the fault vehicle according to the derived vehicle maintenance and/or service data, and calculating the average driving mileage of the vehicle;
estimating the deleted driving mileage of the vehicle which does not have faults according to the average driving mileage of the vehicle;
determining the total driving mileage of the vehicle according to the driving mileage and the deleted driving mileage of the fault vehicle;
and calculating a reliability index of the vehicle by using the total driving mileage of the vehicle so as to evaluate the reliability of the vehicle.
2. The method of claim 1, wherein estimating the missed range of the non-failed vehicle based on the monthly average range of the vehicle comprises:
according to the formulaEstimating a vehicle's missed driving range without failure, wherein mu is a monthly average driving range, wherein the difference between the expiration date and the sales date is the driving range of the vehicleTravel time.
3. The method as recited in claim 1, further comprising:
and estimating the deleted driving mileage of the vehicle which does not have the fault according to a formula (N-N) (expiration date-sales date) month average driving mileage, wherein N-N is the number of vehicles which do not have the first fault.
4. The method of claim 1, wherein determining the total range of the vehicle based on the range and the deleted range of the failed vehicle comprises:
and determining the total driving mileage of the vehicle according to the sum of the driving mileage of the fault vehicle and the deleted driving mileage of the non-fault vehicle.
5. The method of claim 1, wherein determining the total range of the vehicle based on the range and the deleted range of the failed vehicle further comprises:
according to the formulaCalculating the maximum fault mileage of each fault vehicle, wherein; s is(s) i The last fault mileage of each fault vehicle;
according to the formula Calculating the driving mileage between the last failure date of each failed vehicle and the expiration date;
and determining the total driving mileage of the vehicle by the sum of the maximum driving mileage of each faulty vehicle, the driving mileage from the last fault of each faulty vehicle to the expiration date and the deleted driving mileage of the non-faulty vehicle.
6. The method of claim 1, wherein calculating a monthly average range of the vehicle comprises:
based on the maintenance and/or the maintenance data of the vehicles, the annual average driving mileage of the vehicles of the same type is obtained, the ratio of the corresponding mileage at the preset percentage position to the month number is calculated, and the monthly average driving mileage of the vehicles of the same type is calculated.
7. The method of claim 1, wherein the step of, prior to the deriving vehicle repair and/or maintenance data, comprises:
cleaning the vehicle maintenance and/or service data to correct and reject the data missing the sales date and the failure date;
when the sales date of the vehicle is missing, replacing the sales date with the production date of the vehicle;
and when the failure date is smaller than the sales date, eliminating the failure date from the vehicle repair and/or maintenance data.
8. A vehicle reliability evaluation device characterized by comprising:
a calculation unit for acquiring the driving mileage of the faulty vehicle according to the derived vehicle maintenance and/or service data, and calculating the average driving mileage of the vehicle;
the estimating unit is used for estimating the deleted driving mileage of the vehicle which does not have faults according to the average driving mileage of the vehicle;
a determining unit for determining a total driving distance of the vehicle according to the driving distance and the deleted driving distance of the fault vehicle;
the calculation unit is further used for calculating a reliability index of the vehicle by using the total driving mileage of the vehicle so as to evaluate the reliability of the vehicle.
9. An electronic device, the electronic device comprising:
a processor;
a memory having stored thereon computer readable instructions which, when executed by the processor, implement the method of any of claims 1 to 7.
10. A computer readable storage medium, characterized in that it stores computer program instructions, which when executed by a computer, cause the computer to perform the method according to any one of claims 1 to 7.
CN202310622732.3A 2023-05-25 2023-05-25 Vehicle reliability assessment method, device, equipment and storage medium Pending CN116611619A (en)

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Application Number Priority Date Filing Date Title
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Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
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