CN113516345A - Vehicle fault processing method and device and storage medium - Google Patents
Vehicle fault processing method and device and storage medium Download PDFInfo
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Abstract
The present disclosure relates to a vehicle fault processing method, apparatus and storage medium, comprising: acquiring first position information and a maintenance range of a service station, and fault data and second position information of a vehicle; determining a position distance between the vehicle and the service station, and determining the vehicle with the position distance within a preset distance range and fault data meeting a preset fault condition corresponding to the service station as a target vehicle corresponding to the service station; determining a maintenance index of the target vehicle according to the fault data of the target vehicle, wherein the maintenance index represents the fault severity of the target vehicle in all target vehicles corresponding to the service station; and pushing the target vehicle to the service station according to the maintenance index. Therefore, the fault severity of the vehicle relative to each matched service station can be determined according to the fault data of the vehicle, so that the service station can more conveniently and intuitively know the fault condition of the vehicle in advance, and the vehicle can be conveniently repaired.
Description
Technical Field
The present disclosure relates to the field of internet, and in particular, to a vehicle fault processing method, apparatus, and storage medium.
Background
In the prior art, in the process from the vehicle failure to the maintenance, the vehicle failure is primarily judged only by the vehicle owner, and the maintenance is determined only by the vehicle owner, or which service station is selected for maintenance. However, the problem that the driving safety of the vehicle owner is affected because the vehicle owner can not timely maintain the vehicle when the vehicle is in a serious fault due to inaccurate judgment of the vehicle owner on the vehicle fault often occurs. Moreover, when the owner selects the service station for maintenance, the problem that the maintenance can be completed only by going to a plurality of service stations due to the limited maintenance range of the service station often occurs, and the maintenance efficiency is low.
Disclosure of Invention
The invention aims to provide a vehicle fault processing method, a vehicle fault processing device and a storage medium, which can determine the fault severity of a vehicle relative to each matched service station according to the fault data of the vehicle, so that the service station can more conveniently and intuitively know the fault condition of the vehicle in advance to prepare for the maintenance of the vehicle.
In order to achieve the above object, the present disclosure provides a vehicle fault handling method, the method including:
acquiring first position information and a maintenance range of a service station, and fault data and second position information of a vehicle;
determining a position distance between the vehicle and the service station according to the first position information and the second position information, and determining the vehicle of which the position distance is within a preset distance range and the fault data meets a preset fault condition corresponding to the service station as a target vehicle corresponding to the service station;
determining a maintenance index of the target vehicle according to the fault data of the target vehicle, wherein the maintenance index represents the fault severity of the target vehicle in all target vehicles corresponding to the service station, and the higher the maintenance index is, the higher the fault severity is represented;
and pushing the target vehicle to the service station according to the maintenance index.
Optionally, the determining the repair index of the target vehicle according to the fault data of the target vehicle includes:
determining the fault score of the target vehicle according to the weighted sum of the self fault proportion and the fault quantity ranking, wherein the self fault proportion is the sum of the high-level fault and the medium-level fault and accounts for the proportion of the total number of the faults of the target vehicle, and the fault quantity ranking is the ranking of the total number of the faults of the target vehicle in all the target vehicles corresponding to the service station;
and determining the maintenance index according to the ranking of the fault score of the target vehicle in all the target vehicles corresponding to the service station.
Optionally, the pushing the target vehicle to the service station according to the repair index includes:
determining the maintenance sequence of the target vehicle according to the maintenance index;
and pushing the target vehicle and the maintenance sequence of the target vehicle to the service station.
Optionally, the determining the repair sequence of the target vehicle according to the repair index includes:
determining a maintenance sequence of the target vehicle according to the four indexes of the maintenance index, the position distance between the target vehicle and the service station, the full-load duration ratio and the thousand-kilometer driving behavior number, wherein the higher the maintenance index is, the closer the position distance is, the higher the full-load duration ratio is, the more the thousand-kilometer driving behavior number is, and the more the maintenance sequence is;
the sorting priority of the distance from the position is higher than that of the maintenance index, the sorting priority of the maintenance index is higher than that of the full-load duration ratio, and the sorting priority of the full-load duration ratio is higher than that of the kilometer driving behavior quantity.
Optionally, the preset fault condition is:
the fault type and the fault number included in the fault data satisfy a first condition; and
all faults included in the fault data are within the repair scope of the service station.
Optionally, the method further comprises:
under the condition that fault data of the vehicle meet a second condition, determining all service stations which are within the preset distance range from the vehicle and comprise all faults in the fault data in the maintenance range as target service stations corresponding to the vehicle;
generating a vehicle maintenance recommendation according to the fault data;
and pushing the target service station and the vehicle maintenance suggestion to the vehicle.
Optionally, the pushing the target service station and the repair recommendation to the vehicle comprises:
and preferentially pushing the target service station and the vehicle maintenance suggestion to the vehicle under the condition that the vehicle maintenance suggestion comprises a preset field.
Optionally, the method further comprises:
and under the condition that the fault data of the vehicle do not meet the second condition, generating a vehicle maintenance suggestion according to the fault data, and pushing the vehicle maintenance suggestion to the vehicle.
The present disclosure also provides a vehicle fault handling device, characterized in that the device includes:
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring first position information and a maintenance range of a service station, and fault data and second position information of a vehicle;
the first determining module is used for determining a position distance between the vehicle and the service station according to the first position information and the second position information, and determining the vehicle of which the position distance is within a preset distance range and the fault data meets a preset fault condition corresponding to the service station as a target vehicle corresponding to the service station;
the second determining module is used for determining a maintenance index of the target vehicle according to the fault data of the target vehicle, wherein the maintenance index represents the fault severity of the target vehicle in all target vehicles corresponding to the service station, and the higher the maintenance index is, the higher the fault severity is represented;
and the first pushing module is used for pushing the target vehicle to the service station according to the maintenance index.
The present disclosure also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method described above.
Through the technical scheme, the vehicle with the fault can be pushed to one or more service stations nearby in time according to the position distance between the vehicle reporting the fault data and each service station and the matching degree between the fault data of the vehicle and the maintenance range of the service stations, so that the service stations can better provide maintenance or service for the owner with the fault, the fault severity of the vehicle relative to each matched service station can be determined according to the fault data of the vehicle, the service stations can know the fault condition of the vehicle visually in advance, and the vehicle can be maintained conveniently.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure without limiting the disclosure. In the drawings:
fig. 1 is a flowchart illustrating a vehicle fault handling method according to an exemplary embodiment of the present disclosure.
Fig. 2 is a flowchart illustrating a vehicle fault handling method according to yet another exemplary embodiment of the present disclosure.
Fig. 3 is a flowchart illustrating a vehicle fault handling method according to yet another exemplary embodiment of the present disclosure.
Fig. 4 is a flowchart illustrating a vehicle fault handling method according to yet another exemplary embodiment of the present disclosure.
Fig. 5 is a structural block diagram illustrating a vehicle failure processing apparatus according to an exemplary embodiment of the present disclosure.
Fig. 6 is a block diagram illustrating a structure of a vehicle fault handling apparatus according to still another exemplary embodiment of the present disclosure.
Detailed Description
The following detailed description of specific embodiments of the present disclosure is provided in connection with the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present disclosure, are given by way of illustration and explanation only, not limitation.
Fig. 1 is a flowchart illustrating a vehicle fault handling method according to an exemplary embodiment of the present disclosure. As shown in fig. 1, the method includes steps 101 to 104.
In step 101, first position information and a maintenance range of a service station, and failure data and second position information of a vehicle are acquired.
The service station may be any one or more service stations capable of providing service or maintenance services to vehicles, which may then be one or more vehicles of any registered make or model. The service station information and the vehicle information can be obtained through the internet of vehicles. The first location information of the service station may be provided in the form of latitude and longitude, and the maintenance range may include information such as fault codes that can support maintenance and clear reading, available parts and accessories and related attributes of the parts, the number of vehicles that can be serviced, whether the service is available. The fault data and the second position information of the vehicle may be obtained by a Controller Area Network (CAN) data uploaded by a vehicle terminal in real time, and the fault data may include various data information such as vehicle fault information, driving behavior data, load data, operating condition data, brake data, mileage, and the like.
In step 102, a position distance between the vehicle and the service station is determined according to the first position information and the second position information, and the vehicle, of which the position distance is within a preset distance range and the fault data meets a preset fault condition corresponding to the service station, is determined as a target vehicle corresponding to the service station.
After the fault data of the vehicle is collected, the vehicle owner can be remotely assisted to process the vehicle fault by pushing the relevant fault vehicle to the service station, and the pushed service station can be selected according to the position distance between the first position information of each service station and the second position information of the fault vehicle and the maintenance range of each service station.
For example, the service stations within a preset distance range around the failed vehicle may be determined in the case where the failure data of the vehicle is acquired, and the determination method may be as shown in step 102. If a plurality of service stations within a preset distance range around the fault vehicle can be matched with the fault vehicle, the fault vehicle can be determined as a target vehicle of the plurality of service stations. For the service station, there are a plurality of vehicles that satisfy the condition shown in step 102, and all of the plurality of vehicles may be determined as target vehicles corresponding to the service station.
In addition, the triggering condition for executing the determination method shown in step 102 may be, in addition to the above, triggering according to a preset period, that is, when the fault data of the vehicle is acquired, the service station that needs to be pushed is not determined immediately, the fault data may be stored first, and then the target vehicle corresponding to each service station is determined according to the preset period and the fault data of all vehicles received in the period.
In a possible implementation, the preset fault condition may be: the fault type and the fault number included in the fault data satisfy a first condition; and all faults included in the fault data are within the repair scope of the service station. The first condition may be, for example, 1 or more high-level faults and/or 3 or more medium-level faults, so that the fault data meeting the first condition can represent that the vehicle is in a state that needs to be maintained in time, and when the fault data uploaded by the vehicle does not meet the first condition, the fault data can represent that the fault degree of the vehicle is not in a state that needs to be maintained in time. The determination of whether the fault included in the fault data is within the maintenance range of the service station may include determination of information such as parts and components and attributes related to the parts and components that can be provided by the service station.
In step 103, according to the fault data of the target vehicle, a maintenance index of the target vehicle is determined, the maintenance index represents the fault severity of the target vehicle in all target vehicles corresponding to the service station, and the higher the maintenance index is, the higher the fault severity is represented.
After the target vehicles corresponding to the service stations are determined, the maintenance index of the target vehicles relative to the service stations can be further determined according to the fault data of the target vehicles. If there are a plurality of service stations matched with the vehicle, the maintenance indexes respectively corresponding to different service stations can be respectively determined when the vehicle is used as the target vehicle of different service stations.
The repair index may be determined by, for example, data information included in the fault data of the target vehicle, such as vehicle fault information, driving behavior data, load data, operating condition data, braking data, mileage, location data, and the like, or may be determined jointly based on the fault data of the target vehicle and fault data of other target vehicles corresponding to the service station.
In step 104, the target vehicle is pushed to the service stop according to the maintenance index.
Under the condition that the maintenance index of the target vehicle is determined, the fault data, the second position data and the maintenance index of the target vehicle can be directly pushed to the service station, so that the service station can prepare maintenance for the target vehicle or communicate maintenance matters with a target vehicle owner in time according to the state of the target vehicle. When the target vehicle is pushed to the service station, the target vehicle can be pushed according to the ranking of the maintenance indexes of the target vehicle in the maintenance indexes of all the target vehicles corresponding to the service station, so that the service station can more intuitively know the target vehicle which is in the maintenance range and possibly needs the service of in-station maintenance or out-of-station maintenance.
Through the technical scheme, the vehicle with the fault can be pushed to one or more service stations nearby in time according to the position distance between the vehicle reporting the fault data and each service station and the matching degree between the fault data of the vehicle and the maintenance range of the service stations, so that the service stations can better provide maintenance or service for the owner with the fault, the fault severity of the vehicle relative to each matched service station can be determined according to the fault data of the vehicle, the service stations can know the fault condition of the vehicle visually in advance, and the vehicle can be maintained conveniently.
Fig. 2 is a flowchart illustrating a vehicle fault handling method according to yet another exemplary embodiment of the present disclosure. As shown in fig. 2, the method further includes step 201 and step 202.
In step 201, determining a fault score of the target vehicle according to a weighted sum of a self fault proportion and a fault quantity ranking, wherein the self fault proportion is the sum of high-level faults and medium-level faults and accounts for the total fault quantity of the target vehicle, and the fault quantity ranking is the ranking of the total fault quantity of the target vehicle in all target vehicles corresponding to the service station.
The vehicle fault information in the fault data may include a plurality of faults, each fault may be resolved into a fault code, and the fault code may be used to determine specific fault content in a fault code library, so as to determine a fault level of the fault. The weight distribution between the self fault proportion and the fault number ranking can be preset to be 8:2, for example, and the weight can be adjusted according to the actual situation.
In step 202, the maintenance index is determined according to the ranking of the fault score of the target vehicle in all the target vehicles corresponding to the service station.
After the failure score is obtained, the ranking may be performed according to the failure score of the target vehicle. The failure score can be ranked from low to high, the lower the score is before ranking, and then the ratio of the ranking rank corresponding to the failure score to the total number of the target vehicles participating in ranking is determined as the maintenance index, that is, the closer the maintenance index is to 1, the larger the failure score is, and the higher the failure severity is.
Fig. 3 is a flowchart illustrating a vehicle fault handling method according to yet another exemplary embodiment of the present disclosure. As shown in fig. 3, the method further comprises step 301 and step 302.
In step 301, a maintenance sequence of the target vehicle is determined according to the maintenance index.
In step 302, the target vehicle and the repair sequence of the target vehicle are pushed to the service station.
The maintenance index can represent the fault severity of the target vehicle in all target vehicles corresponding to the service station, so that the maintenance sequence of all target vehicles corresponding to the service station can be predetermined according to the maintenance index for reference by the service station.
In one possible embodiment, the determining the repair sequence of the target vehicle according to the repair index includes: determining a maintenance sequence of the target vehicle according to the four indexes of the maintenance index, the position distance between the target vehicle and the service station, the full-load duration ratio and the thousand-kilometer driving behavior number, wherein the higher the maintenance index is, the closer the position distance is, the higher the full-load duration ratio is, the more the thousand-kilometer driving behavior number is, and the more the maintenance sequence is; the sorting priority of the distance from the position is higher than that of the maintenance index, the sorting priority of the maintenance index is higher than that of the full-load duration ratio, and the sorting priority of the full-load duration ratio is higher than that of the kilometer driving behavior quantity. That is, the target vehicles of the service station can be sorted according to the position distance, and the closer the position distance is, the closer the sorting is; the higher the maintenance index is, the higher the rank is, the more forward the target vehicles with the same position and distance are; the maintenance indexes of the target vehicles are the same, and the higher the full-load duration ratio is, the higher the ranking is; the vehicles with the same full-load duration ratio have the larger number of kilometer driving behaviors and are ranked more forward.
The full-load duration occupation ratio can be calculated according to the data in the last week, and the kilometric driving behavior data can be calculated according to the data in the last month. The driving behavior in the kilometer driving behavior data is not consistent with the bad operation behavior or abnormal operation behavior of the normal operation of the vehicle.
Fig. 4 is a flowchart illustrating a vehicle fault handling method according to yet another exemplary embodiment of the present disclosure. As shown in fig. 4, the method further includes steps 401 to 402.
In step 401, in a case that the fault data of the vehicle satisfies a second condition, all the service stations within the preset distance range from the vehicle and including all faults in the fault data in the maintenance range are determined as target service stations corresponding to the vehicle.
In step 402, vehicle repair recommendations are generated based on the fault data.
In step 403, the target service station and the vehicle repair recommendation are pushed to the vehicle.
The second condition may be the same as or different from the first condition, and may be determined in real time according to an actual vehicle, for example, the owner may customize and receive the second condition pushed by the target service station by himself. Under the condition that the fault data reported by the vehicle meets the second condition, no matter whether the vehicle is determined to be a target vehicle of a certain service station to be pushed to the service station or not, the target service station corresponding to the vehicle is determined by the method, and the vehicle maintenance suggestion is generated according to the fault data and then pushed to the vehicle together, so that maintenance service is provided for the vehicle owner in time.
In one possible embodiment, the pushing the target service stop and the repair recommendation to the vehicle includes: and preferentially pushing the target service station and the vehicle maintenance suggestion to the vehicle under the condition that the vehicle maintenance suggestion comprises a preset field. The preset field may be a field that suggests that the vehicle be serviced in a timely manner, such as "inbound service". Under the condition that the maintenance suggestion comprises the preset field, the maintenance suggestion and the target service station need to be pushed to the vehicle in time so as to remind the vehicle owner of maintaining the vehicle in time. In addition, the push may be sent preferentially when it is determined that the engine system, the brake system, and the transmission system of the vehicle have a high-level failure based on the failure data.
In the process of determining the target service station, a situation that no target service station is matched with the vehicle may occur, and at this time, a repair suggestion may be pushed directly under the condition that the fault data meets the second condition.
In one possible embodiment, in the case that the fault data of the vehicle do not satisfy the second condition, a vehicle maintenance recommendation is generated from the fault data and pushed to the vehicle. Even if the current fault condition of the vehicle does not need to recommend maintenance, corresponding maintenance recommendations can be generated according to specific faults in the fault data, for example, bad behaviors of a vehicle owner can be reminded when the number of driving behaviors of kilometres exceeds 5 times, or corresponding maintenance reminders can be carried out on a system where the faults in the fault data are located.
Fig. 5 is a block diagram illustrating a configuration of a vehicle failure processing apparatus according to an exemplary embodiment of the present disclosure. As shown in fig. 5, the apparatus includes: the system comprises an acquisition module 10, a service station and a management module, wherein the acquisition module is used for acquiring first position information and a maintenance range of the service station, and fault data and second position information of a vehicle; a first determining module 20, configured to determine a location distance between the vehicle and the service station according to the first location information and the second location information, and determine the vehicle, of which the location distance is within a preset distance range and the fault data meets a preset fault condition corresponding to the service station, as a target vehicle corresponding to the service station; the second determining module 30 is configured to determine, according to the fault data of the target vehicle, a maintenance index of the target vehicle, where the maintenance index represents fault severity of the target vehicle in all target vehicles corresponding to the service station, and the higher the maintenance index is, the higher the fault severity is represented; and the first pushing module 40 is used for pushing the target vehicle to the service station according to the maintenance index.
Through the technical scheme, the vehicle with the fault can be pushed to one or more service stations nearby in time according to the position distance between the vehicle reporting the fault data and each service station and the matching degree between the fault data of the vehicle and the maintenance range of the service stations, so that the service stations can better provide maintenance or service for the owner with the fault, the fault severity of the vehicle relative to each matched service station can be determined according to the fault data of the vehicle, the service stations can know the fault condition of the vehicle visually in advance, and the vehicle can be maintained conveniently.
In a possible implementation, the second determining module 30 includes: the first determining submodule is used for determining the fault score of the target vehicle according to the weighted sum of the self fault proportion and the fault quantity ranking, wherein the self fault proportion is the sum of the high-level fault quantity and the medium-level fault quantity and accounts for the proportion of the total fault quantity of the target vehicle, and the fault quantity ranking is the ranking of the total fault quantity of the target vehicle in all target vehicles corresponding to the service station; and the second determining submodule is used for determining the maintenance index according to the ranking of the fault score of the target vehicle in all the target vehicles corresponding to the service station.
In a possible embodiment, the first pushing module 40 comprises: the third determining submodule is used for determining the maintenance sequence of the target vehicle according to the maintenance index; and the pushing submodule is used for pushing the target vehicle and the maintenance sequence of the target vehicle to the service station.
In a possible implementation, the third determining sub-module is further configured to: determining a maintenance sequence of the target vehicle according to the four indexes of the maintenance index, the position distance between the target vehicle and the service station, the full-load duration ratio and the thousand-kilometer driving behavior number, wherein the higher the maintenance index is, the closer the position distance is, the higher the full-load duration ratio is, the more the thousand-kilometer driving behavior number is, and the more the maintenance sequence is; the sorting priority of the distance from the position is higher than that of the maintenance index, the sorting priority of the maintenance index is higher than that of the full-load duration ratio, and the sorting priority of the full-load duration ratio is higher than that of the kilometer driving behavior quantity.
In a possible embodiment, the preset fault condition is: the fault type and the fault number included in the fault data satisfy a first condition; and all faults included in the fault data are within the repair scope of the service station.
Fig. 6 is a block diagram illustrating a configuration of a vehicle failure processing apparatus according to an exemplary embodiment of the present disclosure. As shown in fig. 6, the apparatus further includes: a third determining module 50, configured to determine, when the fault data of the vehicle satisfies a second condition, all the service stations that are within the preset distance range from the vehicle and include all faults in the fault data in the maintenance range as target service stations corresponding to the vehicle; a first generating module 60 for generating vehicle repair advice based on the fault data; a second pushing module 70 for pushing the target service station and the vehicle repair advice to the vehicle.
In a possible implementation, the second pushing module 70 is further configured to preferentially push the target service station and the vehicle repair recommendation to the vehicle if a preset field is included in the vehicle repair recommendation.
In a possible embodiment, the first generating module 60 is further configured to generate a vehicle maintenance recommendation according to the fault data of the vehicle if the fault data does not satisfy the second condition; the second pushing module 70 is further configured to push the vehicle maintenance recommendation to the vehicle.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
In another exemplary embodiment, there is also provided a computer readable storage medium comprising program instructions which, when executed by a processor, implement the steps of the vehicle fault handling method described above.
The preferred embodiments of the present disclosure are described in detail with reference to the accompanying drawings, however, the present disclosure is not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solution of the present disclosure within the technical idea of the present disclosure, and these simple modifications all belong to the protection scope of the present disclosure.
It should be noted that the various features described in the above embodiments may be combined in any suitable manner without departing from the scope of the invention. In order to avoid unnecessary repetition, various possible combinations will not be separately described in this disclosure.
In addition, any combination of various embodiments of the present disclosure may be made, and the same should be considered as the disclosure of the present disclosure, as long as it does not depart from the spirit of the present disclosure.
Claims (10)
1. A vehicle fault handling method, characterized in that the method comprises:
acquiring first position information and a maintenance range of a service station, and fault data and second position information of a vehicle;
determining a position distance between the vehicle and the service station according to the first position information and the second position information, and determining the vehicle of which the position distance is within a preset distance range and the fault data meets a preset fault condition corresponding to the service station as a target vehicle corresponding to the service station;
determining a maintenance index of the target vehicle according to the fault data of the target vehicle, wherein the maintenance index represents the fault severity of the target vehicle in all target vehicles corresponding to the service station, and the higher the maintenance index is, the higher the fault severity is represented;
and pushing the target vehicle to the service station according to the maintenance index.
2. The method of claim 1, wherein determining the repair index for the target vehicle based on the fault data for the target vehicle comprises:
determining the fault score of the target vehicle according to the weighted sum of the self fault proportion and the fault quantity ranking, wherein the self fault proportion is the sum of the high-level fault and the medium-level fault and accounts for the proportion of the total number of the faults of the target vehicle, and the fault quantity ranking is the ranking of the total number of the faults of the target vehicle in all the target vehicles corresponding to the service station;
and determining the maintenance index according to the ranking of the fault score of the target vehicle in all the target vehicles corresponding to the service station.
3. The method of claim 1, wherein said pushing the target vehicle to the service stop according to the repair index comprises:
determining the maintenance sequence of the target vehicle according to the maintenance index;
and pushing the target vehicle and the maintenance sequence of the target vehicle to the service station.
4. The method of claim 3, wherein the determining a repair sequencing of the target vehicle from the repair index comprises:
determining a maintenance sequence of the target vehicle according to the four indexes of the maintenance index, the position distance between the target vehicle and the service station, the full-load duration ratio and the thousand-kilometer driving behavior number, wherein the higher the maintenance index is, the closer the position distance is, the higher the full-load duration ratio is, the more the thousand-kilometer driving behavior number is, and the more the maintenance sequence is;
the sorting priority of the distance from the position is higher than that of the maintenance index, the sorting priority of the maintenance index is higher than that of the full-load duration ratio, and the sorting priority of the full-load duration ratio is higher than that of the kilometer driving behavior quantity.
5. The method of claim 1, wherein the preset fault condition is:
the fault type and the fault number included in the fault data satisfy a first condition; and
all faults included in the fault data are within the repair scope of the service station.
6. The method of claim 1, further comprising:
under the condition that fault data of the vehicle meet a second condition, determining all service stations which are within the preset distance range from the vehicle and comprise all faults in the fault data in the maintenance range as target service stations corresponding to the vehicle;
generating a vehicle maintenance recommendation according to the fault data;
and pushing the target service station and the vehicle maintenance suggestion to the vehicle.
7. The method of claim 6, wherein the pushing the target service stop and the repair recommendation to the vehicle comprises:
and preferentially pushing the target service station and the vehicle maintenance suggestion to the vehicle under the condition that the vehicle maintenance suggestion comprises a preset field.
8. The method of claim 6, further comprising:
and under the condition that the fault data of the vehicle do not meet the second condition, generating a vehicle maintenance suggestion according to the fault data, and pushing the vehicle maintenance suggestion to the vehicle.
9. A vehicle fault handling apparatus, characterized in that the apparatus comprises:
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring first position information and a maintenance range of a service station, and fault data and second position information of a vehicle;
the first determining module is used for determining a position distance between the vehicle and the service station according to the first position information and the second position information, and determining the vehicle of which the position distance is within a preset distance range and the fault data meets a preset fault condition corresponding to the service station as a target vehicle corresponding to the service station;
the second determining module is used for determining a maintenance index of the target vehicle according to the fault data of the target vehicle, wherein the maintenance index represents the fault severity of the target vehicle in all target vehicles corresponding to the service station, and the higher the maintenance index is, the higher the fault severity is represented;
and the first pushing module is used for pushing the target vehicle to the service station according to the maintenance index.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 8.
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