CN106682739A - Fault diagnosis method and fault diagnosis system for automotive background server - Google Patents
Fault diagnosis method and fault diagnosis system for automotive background server Download PDFInfo
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- CN106682739A CN106682739A CN201510765837.XA CN201510765837A CN106682739A CN 106682739 A CN106682739 A CN 106682739A CN 201510765837 A CN201510765837 A CN 201510765837A CN 106682739 A CN106682739 A CN 106682739A
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- 238000003745 diagnosis Methods 0.000 title claims abstract description 19
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The invention provides a fault diagnosis method and a fault diagnosis system for an automotive background server. The fault diagnosis method comprises the steps of when a faulted automobile is detected, calculating distances between the faulted vehicle and prestored after-sale service stations; comparing the magnitudes of the distances, and determining the after-sale service station with shortest distance to the faulted vehicle as a first after-sale service station; and transmitting the position of the faulted vehicle and the position of the first after-sale service station to the prestored after-sale service stations. The fault diagnosis method and the fault diagnosis system have advantages of realizing in-time scheduling of the after-sale service station to the faulted vehicle in a shortest-distance manner for providing service, preventing a defect of low searching effect caused by conditions such as low signal quality in searching based on GRPS positioning, saving resource cost, ensuring quick and convenient maintenance of the faulted vehicle, improving after-service efficiency and vehicle operation efficiency, and ensuring safe operation of the automobile.
Description
Technical Field
The invention relates to the technical field of automobiles, in particular to a fault diagnosis method and system for an automobile background server.
Background
At present, automobiles are commonly used in many cities, and particularly, as electric automobiles are popularized, charging piles and after-sales service points required by the electric automobiles are gradually established, but the establishment of the charging piles and the after-sales service points is relatively fixed. When the electric automobile breaks down, accidents occur or the electric quantity is insufficient, the nearest after-sales service point needs to be searched.
The method adopted at present mainly uses GPRS positioning search to search for the nearest after-sale service point, however, when the network signal is not good or the automobile cannot be searched due to self fault, the after-sale service point is difficult to find, so that the fault of the automobile cannot be processed in time, the maintenance is not convenient in time, and the running safety of the automobile cannot be ensured.
Disclosure of Invention
In view of the above, the main objective of the present invention is to provide a method and a system for diagnosing a fault of a background server of an automobile, which can schedule after-sale services for a faulty vehicle in time.
In order to achieve the purpose, the technical scheme of the invention is realized as follows:
a fault diagnosis method for an automobile background server, comprising the following steps:
when a fault vehicle is detected, calculating the distance between the fault vehicle and a pre-stored after-sale service point;
comparing the distances, and determining the after-sales service point closest to the fault vehicle as a first after-sales service point;
and sending the position of the fault vehicle and the position of the first after-sale service point to a pre-stored centralized background service point.
A fault diagnosis system for an automotive backend server, the system comprising: the device comprises a calculating unit, a determining unit and a sending unit; wherein,
the calculating unit is used for calculating the distance between the fault vehicle and a pre-stored after-sale service point when the fault vehicle is detected;
the determining unit is used for determining the after-sales service point closest to the fault vehicle as a first after-sales service point;
and the sending unit is used for sending the position of the fault vehicle and the position of the first after-sale service point to a pre-stored centralized background service point.
According to the fault diagnosis method and system of the automobile background server, provided by the embodiment of the invention, when a fault vehicle is detected, the distance between the fault vehicle and the after-sale service points is calculated, the after-sale service point closest to the fault vehicle is determined to be the first after-sale service point, the positions of the fault vehicle and the first after-sale service point are sent to the centralized after-sale service point, the centralized after-sale service point schedules the first after-sale service point, the after-sale service point can be timely and nearby scheduled for the fault vehicle to serve, the situation that the searching effect is poor due to conditions such as poor signals during GPRS positioning searching is avoided, the resource cost is saved, the fault vehicle can be quickly and conveniently maintained, the efficiency of after-sale service and the vehicle operation efficiency are improved, and the safe operation of the vehicle is guaranteed.
Drawings
Fig. 1 is a flowchart illustrating an implementation of a fault diagnosis method for a background server of an automobile according to an embodiment of the present invention;
fig. 2 is a flowchart of a specific implementation of a fault diagnosis method for a background server of an automobile according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a fault diagnosis system of an automobile background server according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to the accompanying drawings by way of examples.
Fig. 1 shows an embodiment of the present invention, and as shown in fig. 1, the method includes the following steps:
step 101, when a fault vehicle is detected, calculating the distance between the fault vehicle and a pre-stored after-sale service point;
here, the ant colony algorithm may be employed to calculate the distance between the malfunctioning vehicle and the pre-stored after-market service points.
Specifically, Ant Colony Optimization (ACO), also called Ant algorithm, is a probabilistic algorithm for finding an optimized path. The ant algorithm mainly achieves the purpose of optimizing through information transmission among ant groups, and the specific process is as follows: ants release a special secretion-pheromone on the passing path to find the path, and when the ants touch a crossing which is not passed, a path is randomly selected to advance, and the pheromone related to the path length is released. The longer the path taken by the ant, the less the intensity of the released pheromone. When the subsequent ants touch the intersection again, the probability of selecting the path with higher pheromone strength is relatively higher, while the information amount on other paths gradually decreases with the lapse of time, and finally the whole ant colony can find out the optimal path. Meanwhile, the ant colony can adapt to the change of the environment, and when obstacles suddenly appear on the movement path of the ant colony, the ant can quickly find the optimal path again. Therefore, in the whole routing process, although the selection capacity of a single ant is limited, the whole ant colony behavior has very high self-organization property through the action of pheromone, path information is exchanged among the ants, and finally the optimal path is found out through the collective autocatalysis behavior of the ant colony.
In this embodiment, calculating the distance between the faulty vehicle and the pre-stored after-sales service point by using the ant colony algorithm includes: determining an optimal path between the fault vehicle and the after-sales service point according to the pheromones on the path; wherein the stronger the intensity of the pheromone on the path, the greater the probability of selecting the path; the length of the optimal path is calculated and taken as the distance between the failed vehicle and the after-market point.
Step 102, comparing the distances, and determining the after-sales service point closest to the fault vehicle as a first after-sales service point;
and 103, sending the position of the fault vehicle and the position of the first after-sale service point to a pre-stored centralized background service point.
Fig. 2 shows a specific implementation flow of the fault diagnosis method for the automotive background server provided by the embodiment of the present invention, and as shown in fig. 2, the method includes the following steps:
step 201, initializing all centralized background service points and after-sale service points of the self application area; and the after-sale service point receives the scheduling of the background service point in the collection.
Step 202, when a fault vehicle is detected, calculating the distance between the fault vehicle and a pre-stored after-sale service point;
here, the ant colony algorithm may be employed to calculate the distance between the malfunctioning vehicle and the pre-stored after-market service points.
Specifically, ACO, also called ant algorithm, is a probabilistic algorithm for finding an optimized path. The ant algorithm mainly achieves the purpose of optimizing through information transmission among ant groups, and the specific process is as follows: ants release a special secretion-pheromone on the passing path to find the path, and when the ants touch a crossing which is not passed, a path is randomly selected to advance, and the pheromone related to the path length is released. The longer the path taken by the ant, the less the intensity of the released pheromone. When the subsequent ants touch the intersection again, the probability of selecting the path with higher pheromone strength is relatively higher, while the information amount on other paths gradually decreases with the lapse of time, and finally the whole ant colony can find out the optimal path. Meanwhile, the ant colony can adapt to the change of the environment, and when obstacles suddenly appear on the movement path of the ant colony, the ant can quickly find the optimal path again. Therefore, in the whole routing process, although the selection capacity of a single ant is limited, the whole ant colony behavior has very high self-organization property through the action of pheromone, path information is exchanged among the ants, and finally the optimal path is found out through the collective autocatalysis behavior of the ant colony.
In this embodiment, calculating the distance between the faulty vehicle and the pre-stored after-sales service point by using the ant colony algorithm includes: determining an optimal path between the fault vehicle and the after-sales service point according to the pheromones on the path; wherein the stronger the intensity of the pheromone on the path, the greater the probability of selecting the path; the length of the optimal path is calculated and taken as the distance between the failed vehicle and the after-market point.
Step 203, comparing the distances and determining the after-sale service point closest to the fault vehicle as a first after-sale service point;
and step 204, sending the position of the fault vehicle and the position of the first after-sale service point to a pre-stored centralized background service point.
Step 205, the centralized background service point schedules the first after-sales service point to respond to the fault vehicle according to the received position of the fault vehicle and the position of the first after-sales service point;
step 206, determining whether all the faulty vehicles have responded, if yes, ending the current process, otherwise, executing step 202.
In an embodiment of the present invention, further, a system for diagnosing a fault of an automobile background server is provided, where each functional module of the system may be used in a process of the foregoing method embodiment, and specifically, with reference to fig. 3, the method includes: a calculation unit 31, a determination unit 32, and a transmission unit 33; wherein,
the calculating unit 31 is configured to calculate a distance between the faulty vehicle and a pre-stored after-sales service point when the faulty vehicle is detected;
the determining unit 32 is configured to determine an after-sales service point closest to the faulty vehicle as a first after-sales service point;
the sending unit 33 is configured to send the location of the faulty vehicle and the location of the first after-sales service point to a pre-stored centralized back-office service point.
Optionally, the system further includes: the initialization unit 30 is used for initializing all centralized background service points and after-sale service points in the self application area; and the after-sale service point receives the scheduling of the background service point in the collection.
Optionally, the calculating unit 31 is specifically configured to calculate a distance between the faulty vehicle and a pre-stored after-sale service point by using an ant colony algorithm.
Optionally, the calculating unit 31 includes: an optimal path determination subunit 311, a distance calculation subunit 312; wherein,
the optimal path determining subunit 311 is configured to determine an optimal path between the faulty vehicle and the after-sales service point according to the pheromone of the path; wherein the stronger the intensity of the pheromone of the path, the greater the probability of selecting the path;
the distance calculating subunit 312 is configured to calculate the length of the optimal path, and use the length as the distance between the failed vehicle and the after-sales service point.
Optionally, the centralized background service point (not shown in fig. 3) may be integrated with the system, or may be separately configured, and is configured to schedule the first after-sales service point to respond to the faulty vehicle according to the received location of the faulty vehicle and the location of the first after-sales service point until all the faulty vehicles respond completely.
The working process of each unit of the fault diagnosis system of the automobile background server provided by the invention is similar to that of the method embodiment, and is not described again here.
According to the fault diagnosis method and system of the automobile background server, provided by the embodiment of the invention, when a fault vehicle is detected, the distance between the fault vehicle and the after-sale service points is calculated, the after-sale service point closest to the fault vehicle is determined to be the first after-sale service point, the positions of the fault vehicle and the first after-sale service point are sent to the centralized after-sale service point, the centralized after-sale service point schedules the first after-sale service point, the after-sale service point can be timely and nearby scheduled for the fault vehicle to serve, the situation that the searching effect is poor due to conditions such as poor signals during GPRS positioning searching is avoided, the resource cost is saved, the fault vehicle can be quickly and conveniently maintained, the efficiency of after-sale service and the vehicle operation efficiency are improved, and the safe operation of the vehicle is guaranteed.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A fault diagnosis method for an automobile background server is characterized by comprising the following steps:
when a fault vehicle is detected, calculating the distance between the fault vehicle and a pre-stored after-sale service point;
comparing the distances, and determining the after-sales service point closest to the fault vehicle as a first after-sales service point;
and sending the position of the fault vehicle and the position of the first after-sale service point to a pre-stored centralized background service point.
2. The method of claim 1, further comprising:
initializing all centralized background service points and after-sale service points of the self application area;
and the after-sale service point receives the scheduling of the background service point in the collection.
3. The method of claim 1, wherein calculating the distance between the malfunctioning vehicle and the pre-stored after-market points comprises:
and calculating the distance between the fault vehicle and a pre-stored after-sale service point by adopting an ant colony algorithm.
4. The method of claim 3, wherein the calculating the distance between the malfunctioning vehicle and the pre-stored after-market points using an ant colony algorithm comprises:
determining an optimal path between the fault vehicle and the after-sales service point according to the pheromones on the path; wherein the stronger the intensity of the pheromone on the path, the greater the probability of selecting the path;
the length of the optimal path is calculated and taken as the distance between the failed vehicle and the after-market point.
5. The method according to any one of claims 1 to 4, further comprising:
and the centralized background service point dispatches the first after-sales service point to respond to the fault vehicle according to the received position of the fault vehicle and the position of the first after-sales service point until all the fault vehicles respond.
6. A system for diagnosing a failure of a background server of an automobile, the system comprising: the device comprises a calculating unit, a determining unit and a sending unit; wherein,
the calculating unit is used for calculating the distance between the fault vehicle and a pre-stored after-sale service point when the fault vehicle is detected;
the determining unit is used for determining the after-sales service point closest to the fault vehicle as a first after-sales service point;
and the sending unit is used for sending the position of the fault vehicle and the position of the first after-sale service point to a pre-stored centralized background service point.
7. The system of claim 6, further comprising: the initialization unit is used for initializing all centralized background service points and after-sale service points of the self application area; and the after-sale service point receives the scheduling of the background service point in the collection.
8. The system according to claim 6, characterized in that the calculation unit is specifically adapted to calculate the distance between the faulty vehicle and a pre-stored after-sales service point using an ant colony algorithm.
9. The system of claim 8, wherein the computing unit comprises: an optimal path determining subunit and a distance calculating subunit; wherein,
the optimal path determining subunit is used for determining an optimal path between the fault vehicle and the after-sales service point according to the pheromone of the path; wherein the stronger the intensity of the pheromone of the path, the greater the probability of selecting the path;
and the distance calculating subunit is used for calculating the length of the optimal path and taking the length as the distance between the fault vehicle and the after-sales service point.
10. The system according to any one of claims 6 to 9, wherein the centralized back-office service point is configured to schedule the first after-market service point to respond to the faulty vehicle according to the received location of the faulty vehicle and the location of the first after-market service point until all the faulty vehicles respond.
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| CN201510765837.XA CN106682739A (en) | 2015-11-11 | 2015-11-11 | Fault diagnosis method and fault diagnosis system for automotive background server |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108376289A (en) * | 2018-02-07 | 2018-08-07 | 安徽星网软件技术有限公司 | A kind of chain platform of vehicle service station Internet-based |
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| CN102708698A (en) * | 2012-06-12 | 2012-10-03 | 北京理工大学 | Vehicle optimal-path navigation method based on vehicle internet |
| CN103632513A (en) * | 2013-11-21 | 2014-03-12 | 深圳市卡讯尔车联网科技开发有限公司 | Vehicle emergency rescue interactive method and system on basis of cloud server |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101520883A (en) * | 2008-02-29 | 2009-09-02 | 鸿富锦精密工业（深圳）有限公司 | Vehicle maintenance system and method |
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| CN103632513A (en) * | 2013-11-21 | 2014-03-12 | 深圳市卡讯尔车联网科技开发有限公司 | Vehicle emergency rescue interactive method and system on basis of cloud server |
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