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 16
- 239000003016 pheromone Substances 0.000 claims description 18
- 230000004044 response Effects 0.000 claims description 4
- 230000000694 effects Effects 0.000 abstract description 5
- 238000012423 maintenance Methods 0.000 abstract description 2
- 230000007547 defect Effects 0.000 abstract 1
- 230000008569 process Effects 0.000 description 6
- 230000004888 barrier function Effects 0.000 description 5
- 230000008859 change Effects 0.000 description 3
- 238000007599 discharging Methods 0.000 description 3
- 238000006555 catalytic reaction Methods 0.000 description 2
- 239000012141 concentrate Substances 0.000 description 2
- 230000008439 repair process Effects 0.000 description 2
- 230000028327 secretion Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 238000000151 deposition Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
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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 present invention relates to automobile technical field, more particularly to a kind of method for diagnosing faults of automobile rear server
And system.
Background technology
At present, automobile is commonly used in many cities, electronic especially as the continuous popularization of electric automobile
Charging pile and after-sale service point needed for automobile is also progressively set up, but these charging piles and after-sale service point
Set up and be relatively fixed.Break down when electric automobile, accident or during not enough power supply, need to find nearest
After-sale service point.
The method for adopting at present mainly uses GPRS positioning and searches for seek apart from itself nearest clothes after sale
Business point, but when network signal is bad or automobile due to faults itself cannot be scanned for when, it is difficult to find sell
Service point afterwards, causing the failure of automobile can not be processed in time, be not easy to on-call maintenance, it is impossible to ensure car
Safety in operation.
The content of the invention
In view of this, present invention is primarily targeted at providing a kind of fault diagnosis side of automobile rear server
Method and system, can dispatch after-sale service for fault car in time.
To reach above-mentioned purpose, the technical scheme is that what is be achieved in that：
A kind of method for diagnosing faults of automobile rear server, methods described includes：
When detecting fault car, the distance between fault car and the after-sale service point for prestoring are calculated；
The size of each distance of comparison, first is defined as after sale by the after-sale service point closest with fault car
Service point；
Fault car position and the first after-sale service point position are sent to the concentration background service point for prestoring.
A kind of fault diagnosis system of automobile rear server, the system includes：Computing unit, determination are single
Unit, transmitting element；Wherein,
The computing unit, for detecting during fault car, calculates fault car and prestores after sale
The distance between service point；
The determining unit, for the after-sale service point closest with fault car to be defined as into first after sale
Service point；
The transmitting element, for sending fault car position and the to the concentration background service point that prestores
One after-sale service point position.
The fault diagnosis method and system of automobile rear server provided in an embodiment of the present invention, are detecting event
During barrier vehicle, the distance of fault car and after-sale service point is calculated, it is determined that closest with fault car sells
Afterwards service point is the first after-sale service point, and the position of fault car and the first after-sale service point is sent to into collection
Middle after-sale service point, by concentration after-sale service point the first after-sale service point is dispatched, and can be nearby in time event
Barrier vehicle scheduling after-sale service point is its service, it is to avoid based on during GPRS positioning searchings because signal is not good
Situation Deng case search effect difference occurs, and saves resources costs, additionally it is possible to ensure that fault car is quick just
Prompt is keeped in repair, and improves the efficiency and vehicle operational efficiency of after-sale service, the safe operation of support vehicles.
Description of the drawings
Fig. 1 is that the method for diagnosing faults of automobile rear server provided in an embodiment of the present invention realizes flow process
Figure；
Fig. 2 is that the method for diagnosing faults of automobile rear server provided in an embodiment of the present invention implements stream
Cheng Tu；
Fig. 3 is the structural representation of the fault diagnosis system of automobile rear server provided in an embodiment of the present invention
Figure.
Specific embodiment
To make the object, technical solutions and advantages of the present invention become more apparent, simultaneously reference by the following examples
Accompanying drawing, the present invention is described in more detail.
Fig. 1 show it is provided in an embodiment of the present invention, as shown in figure 1, methods described comprises the steps：
Step 101, when detecting fault car, calculate fault car and the after-sale service point for prestoring it
Between distance；
Here it is possible to using ant group algorithm calculate between fault car and the after-sale service point that prestores away from
From.
Specifically, ant group algorithm (Ant Colony Optimization, ACO), is one also known as ant algorithm
Plant the probability type algorithm for being used for finding path optimizing.Ant algorithm is mainly by the information between ant colony
Transmit and reach the purpose of optimizing, detailed process is：Ant discharges a kind of special on the path for passing through
Secretion --- pheromones are just random when they encounter the crossing that is not also passed by finding path
Pick out a paths move ahead, while discharging the pheromones relevant with path.The path that ant walks
Longer, then the pheromones intensity for discharging is less.When ant later meets again this crossing, letter is selected
The probability in the larger path of the plain intensity of breath is relatively large, and the information content on other paths can be over time
Pass and gradually cut down, final whole ant colony can find out optimal path.Simultaneously ant colony can also adapt to environment
Change, when there is barrier suddenly on the motion path of ant colony, ant also can soon pick up optimum
Path.It can be seen that, during footpath is entirely sought, although the selective power of single ant is limited, but by letter
The effect of breath element makes whole ant colony behavior have very high self-organization, and routing information is exchanged between ant,
Optimal path is found out eventually through collective's self-catalysis behavior of ant colony.
In the present embodiment, using between the after-sale service point that ant group algorithm calculates fault car and prestores
Distance includes：According to the pheromones on path, the optimal path between fault car and after-sale service point is determined；
Wherein, the intensity of the pheromones on the path is stronger, selects the probability in the path bigger；Calculate the optimum
The length in path, and using the length as the distance between fault car and after-sale service point.
Step 102, the size of each distance of comparison, the after-sale service point closest with fault car is determined
For the first after-sale service point；
Step 103, sends fault car position and first and takes after sale to the concentration background service point for prestoring
Business point position.
Fig. 2 shows the concrete reality of the method for diagnosing faults of automobile rear server provided in an embodiment of the present invention
Existing flow process, as shown in Fig. 2 comprising the steps：
All concentration background service points and after-sale service point in itself application area are carried out initially by step 201
Change；Wherein, the after-sale service point receives the scheduling for concentrating background service point.
Step 202, when detecting fault car, calculate fault car and the after-sale service point for prestoring it
Between distance；
Here it is possible to using ant group algorithm calculate between fault car and the after-sale service point that prestores away from
From.
Specifically, ACO, is a kind of probability type algorithm for finding path optimizing also known as ant algorithm.
Ant algorithm mainly reaches the purpose of optimizing by the information transmission between ant colony, and detailed process is：
Ant discharges a kind of special secretion on the path for passing through --- pheromones finding path, when them
When encountering the crossing that is not also passed by, just randomly pick out a paths move ahead, while discharge with
The relevant pheromones of path.The path that ant walks is longer, then the pheromones intensity for discharging is less.When after
When the ant for coming meets again this crossing, select the probability in the larger path of pheromones intensity relatively large,
And the information content on other paths can be cut down as time goes by and gradually, final whole ant colony can be found out
Optimal path.Simultaneously ant colony can also adapt to the change of environment, when suddenly appearance hinders on the motion path of ant colony
When hindering thing, ant also can soon pick up optimal path.It can be seen that, during footpath is entirely sought, although
The selective power of single ant is limited, but it is very high to have whole ant colony behavior by the effect of pheromones
Self-organization, routing information is exchanged between ant, find out eventually through collective's self-catalysis behavior of ant colony
Optimal path.
In the present embodiment, using between the after-sale service point that ant group algorithm calculates fault car and prestores
Distance includes：According to the pheromones on path, the optimal path between fault car and after-sale service point is determined；
Wherein, the intensity of the pheromones on the path is stronger, selects the probability in the path bigger；Calculate the optimum
The length in path, and using the length as the distance between fault car and after-sale service point.
Step 203, the size of each distance of comparison, the after-sale service point closest with fault car is determined
For the first after-sale service point；
Step 204, sends fault car position and first and takes after sale to the concentration background service point for prestoring
Business point position.
Step 205, concentrates background service point according to the fault car position and the first after-sale service point for receiving
Position, the first after-sale service point of scheduling is responded to fault car；
Step 206, judges whether to finish the response of all of fault car, and if so, then current process terminates,
Otherwise, execution step 202.
A kind of fault diagnosis system of automobile rear server that the embodiment of the present invention is also provided, the system it is each
Functional module can be used for the flow process of said method embodiment, specifically refer to Fig. 3, including：Computing unit 31,
Determining unit 32 and transmitting element 33；Wherein,
The computing unit 31, for detecting during fault car, calculates fault car and selling for prestoring
The distance between service point afterwards；
The determining unit 32, sells for the after-sale service point closest with fault car to be defined as into first
Service point afterwards；
The transmitting element 33, for the concentration background service point that prestores send fault car position and
First after-sale service point position.
Optionally, the system also includes：Initialization unit 30, for all collection to itself application area
Middle background service point and after-sale service point are initialized；Wherein, the after-sale service point is received and concentrates backstage
The scheduling of service point.
Optionally, the computing unit 31, specifically for calculating fault car and depositing in advance using ant group algorithm
The distance between after-sale service point of storage.
Optionally, the computing unit 31 includes：Optimal path determination subelement 311, distance calculate son list
Unit 312；Wherein,
The optimal path determination subelement 311, for according to the pheromones in path, determine fault car with
Optimal path between after-sale service point；Wherein, the intensity of the pheromones in the path is stronger, selects the road
The probability in footpath is bigger；
It is described apart from computation subunit 312, for calculating the length of the optimal path, and using the length as
The distance between fault car and after-sale service point.
Optionally, concentration background service point (Fig. 3 is not shown), can be arranged with the system integration, also may be used
It is separately positioned, for according to the fault car position and the first after-sale service point position for receiving, scheduling first
After-sale service point is responded to fault car, until the response of all of fault car is finished.
The fault diagnosis system of the automobile rear server that the present invention is provided, each unit course of work and above-mentioned side
Method embodiment is similar to, and will not be described here.
The fault diagnosis method and system of automobile rear server provided in an embodiment of the present invention, are detecting event
During barrier vehicle, the distance of fault car and after-sale service point is calculated, it is determined that closest with fault car sells
Afterwards service point is the first after-sale service point, and the position of fault car and the first after-sale service point is sent to into collection
Middle after-sale service point, by concentration after-sale service point the first after-sale service point is dispatched, and can be nearby in time event
Barrier vehicle scheduling after-sale service point is its service, it is to avoid based on during GPRS positioning searchings because signal is not good
Situation Deng case search effect difference occurs, and saves resources costs, additionally it is possible to ensure that fault car is quick just
Prompt is keeped in repair, and improves the efficiency and vehicle operational efficiency of after-sale service, the safe operation of support vehicles.
One of ordinary skill in the art will appreciate that：Realize all or part of step of above-mentioned each method embodiment
Can be completed by the related hardware of programmed instruction.Aforesaid program can be stored in an embodied on computer readable
In storage medium.The program upon execution, performs the step of including above-mentioned each method embodiment；And it is aforesaid
Storage medium includes：ROM, RAM, magnetic disc or CD etc. are various can be with the medium of store program codes.
Finally it should be noted that：Various embodiments above only illustrating technical scheme, rather than to it
Limit；Although being described in detail to the present invention with reference to foregoing embodiments, the ordinary skill of this area
Personnel should be understood：It still can modify to the technical scheme described in foregoing embodiments, or
Equivalent is carried out to which part or all technical characteristic；And these modifications or replacement, do not make phase
Answer the scope of the essence disengaging various embodiments of the present invention technical scheme of technical scheme.
Claims (10)
1. a kind of method for diagnosing faults of automobile rear server, it is characterised in that methods described includes：
When detecting fault car, the distance between fault car and the after-sale service point for prestoring are calculated；
The size of each distance of comparison, first is defined as after sale by the after-sale service point closest with fault car
Service point；
Fault car position and the first after-sale service point position are sent to the concentration background service point for prestoring.
2. method according to claim 1, it is characterised in that methods described also includes：
All concentration background service points and after-sale service point in itself application area are initialized；
Wherein, the after-sale service point receives the scheduling for concentrating background service point.
3. method according to claim 1, it is characterised in that the calculating fault car with deposit in advance
The distance between after-sale service point of storage, including：
The distance between fault car and the after-sale service point for prestoring are calculated using ant group algorithm.
4. method according to claim 3, it is characterised in that the employing ant group algorithm calculates failure
The distance between vehicle and the after-sale service point for prestoring, including：
According to the pheromones on path, the optimal path between fault car and after-sale service point is determined；Wherein,
The intensity of the pheromones on the path is stronger, selects the probability in the path bigger；
Calculate the length of the optimal path, and using the length as between fault car and after-sale service point away from
From.
5. the method according to any one of Claims 1-4, it is characterised in that methods described also includes：
Background service point is concentrated according to the fault car position and the first after-sale service point position for receiving, scheduling
First after-sale service point is responded to fault car, until the response of all of fault car is finished.
6. a kind of fault diagnosis system of automobile rear server, it is characterised in that the system includes：Meter
Calculate unit, determining unit, transmitting element；Wherein,
The computing unit, for detecting during fault car, calculates fault car and prestores after sale
The distance between service point；
The determining unit, for the after-sale service point closest with fault car to be defined as into first after sale
Service point；
The transmitting element, for sending fault car position and the to the concentration background service point that prestores
One after-sale service point position.
7. system according to claim 6, it is characterised in that the system also includes：Initialization is single
Unit, for initializing to all concentration background service points and after-sale service point in itself application area；Its
In, the after-sale service point receives the scheduling for concentrating background service point.
8. system according to claim 6, it is characterised in that the computing unit, specifically for adopting
The distance between fault car and the after-sale service point for prestoring are calculated with ant group algorithm.
9. system according to claim 8, it is characterised in that the computing unit includes：Optimum road
Footpath determination subelement, apart from computation subunit；Wherein,
The optimal path determination subelement, for according to the pheromones in path, determine fault car with after sale
Optimal path between service point；Wherein, the intensity of the pheromones in the path is stronger, selects the path
Probability is bigger；
It is described apart from computation subunit, for calculating the length of the optimal path, and using the length as failure
The distance between vehicle and after-sale service point.
10. the system according to any one of claim 6 to 9, it is characterised in that the concentration backstage
Service point, for according to the fault car position and the first after-sale service point position for receiving, scheduling first to be sold
Afterwards service point is responded to fault car, until the response of all of fault car is finished.
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| Application Number | Priority Date | Filing Date | Title |
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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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| 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 |
|---|---|---|---|---|
| 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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| 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 |
| 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 |
-
2015
- 2015-11-11 CN CN201510765837.XA patent/CN106682739A/en active Pending
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 |
| 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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| 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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