CN109934357A - Intelligent maintaining item recommendation method and system based on data analysis self-teaching - Google Patents
Intelligent maintaining item recommendation method and system based on data analysis self-teaching Download PDFInfo
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- CN109934357A CN109934357A CN201910041012.1A CN201910041012A CN109934357A CN 109934357 A CN109934357 A CN 109934357A CN 201910041012 A CN201910041012 A CN 201910041012A CN 109934357 A CN109934357 A CN 109934357A
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Abstract
The present invention relates to a kind of intelligent maintaining item recommendation method and system based on data analysis self-teaching, a kind of intelligent maintaining item recommendation method based on data analysis self-teaching includes: to obtain maintenance vehicle information；According to maintenance vehicle acquisition of information operation system data；According to maintenance vehicle acquisition of information vehicle initialization data；Method for maintaining is matched with vehicle initialization data according to operation system data；Recommend optimal repair scheme after the completion of matching.A kind of intelligent maintaining item recommendation method and system based on data analysis self-teaching of the present invention improves efficiency vehicle maintenance, save the cost.
Description
Technical field
The present invention relates to data analysis fields, and in particular to a kind of intelligent maintaining project based on data analysis self-teaching
Recommended method and system.
Background technique
For the call for responding national low-carbon life, with the development of the technology of electric motor, more and more city bus
Vehicle is phased out traditional petrol engine vehicles using pure electric car, for cope with this core component of bus structure change,
The vehicle salvage shop of public transport enterprises and institutions list subordinate needs through replacement personnel or arranges related training that hostler is allowed to learn
Grasp new maintenance method.
In the prior art in order to provide safeguard to citizen's daily trip, enterprises of public transport can only allow vehicle to tie up in the following manner
It repairs daily maintenance and maintenance method that work grasps new energy vehicle: recruiting the skilled worker for having grasped associative skills again, replace
Existing skilled worker.This mode there are two the shortage that short slab is corresponding skilled worker's resource, face it is difficult recruit either need relative to height at
This can just be caused.
Or existing skilled worker is arranged to carry out relevant skills training to producer is generated, the period is longer, and not can guarantee training
Instruct effect.On the whole, exactly existing mode needs relatively high time and fund cost.
Summary of the invention
Present invention solves the technical problem that be to provide it is a kind of based on data analysis self-teaching intelligent maintaining project push away
Recommend method and system.A kind of intelligent maintaining item recommendation method and system based on data analysis self-teaching is for vehicle
Maintenance improves efficiency, save the cost.
In order to solve the above technical problem, the present invention provides technical solution are as follows:
One kind analyzing self-teaching intelligent maintaining item recommendation method based on data, comprising:
Obtain maintenance vehicle information；
According to maintenance vehicle information extraction operation system data；
According to maintenance vehicle acquisition of information initialization data；
Method for maintaining is matched with initialization data according to operation system data；
Recommend optimal repair scheme after the completion of matching.
Preferably, before obtaining maintenance vehicle information further include:
Construct data initialization database and maintenance system service database.The initialization data library by vehicle factory
Family provides data, including system history data, the vehicle initiation parameter corresponding about vehicle model.The maintenance system
System service database forms experience think tank for the corresponding maintenance items scheme reported failure for repairment and maintain type.
Preferably, the maintenance vehicle information includes vehicle model, vehicle trouble or maintenance type.
Preferably, it is described according to maintenance vehicle information extraction operation system data be specially according to vehicle trouble or maintenance
Type information obtains method for processing business from service database.By in vehicle trouble or maintenance type and service database
Problem types are matched, and method for processing business is obtained, and rapid pin recommends out according to time-consuming and cost two failure of vehicle
Dimension provide optimal scheme.In view of time and artificial and material cost, according to the actual situation for car operation unit
Select optimal maintenance program.
Preferably, described that vehicle is specially obtained according to vehicle model according to maintenance vehicle acquisition of information initialization data
Initialization data.Initialization data by providing vehicle reaches the accuracy of scheme for matching optimal repair scheme.
Preferably, the method for maintaining that matched according to operation system data with initialization data is specially according to CAR SERVICE
Processing method matches optimal repair scheme with vehicle initiation parameter.
One kind analyzing self-teaching intelligent maintaining item recommendation system based on data:
Information of vehicles obtains module: the information of vehicles obtains module for obtaining maintenance vehicle information；
Operation system data acquisition module: the operation system data acquisition module is used for according to maintenance vehicle information extraction business
System data；
Initialization data obtains module: the initialization data obtains module and is used to initialize number according to maintenance vehicle acquisition of information
According to；
Data analysis module: the data analysis module is used to match maintenance side with initialization data according to operation system data
Method；
Scheme pushing module: the scheme pushing module is for recommending optimal repair scheme after the completion of matching.
Preferably, the information of vehicles obtains module for obtaining maintenance vehicle information.The information of vehicles includes vehicle
Model, vehicle trouble or maintenance type.
Preferably, the operation system data acquisition module is used for according to maintenance vehicle information extraction operation system data.
Business datum obtains module according to the method for processing business in vehicle trouble or maintenance type search maintenance system service database.
Preferably, the initialization data obtains module and is used for according to maintenance vehicle acquisition of information initialization data；Initially
Change the vehicle initiation parameter that data acquisition module is searched in data initialization database according to vehicle model and obtains.
Preferably, the data analysis module is used to match method for maintaining with initialization data according to operation system data；
Business diagnosis modular service system data matched with initialization data method for maintaining be specially according to CAR SERVICE processing method with
Vehicle initiation parameter matches optimal repair scheme.
Preferably, the scheme pushing module is for recommending optimal repair scheme after the completion of matching.
Preferably, the intelligent maintaining item recommendation system based on data analysis self-teaching, which is characterized in that also wrap
It includes:
Database sharing module: the database sharing module is for constructing data initialization database and maintenance system business number
According to library.
The present invention also provides a kind of computer readable storage medium, the computer-readable recording medium storage has computer
Program instruction, the program instruction are suitable for being loaded by processor and being executed the above-mentioned intelligent maintaining item based on data analysis self-teaching
Mesh recommended method.
The present invention also provides a kind of mobile terminals comprising processor and memory, the processor is for executing
The program stored in memory, to realize the above-mentioned intelligent maintaining item recommendation method based on data analysis self-teaching.
Compared with prior art, the device have the advantages that are as follows: provide a kind of based on data analysis self-teaching
Intelligent maintaining item recommendation method, improves efficiency vehicle maintenance, save the cost.Specifically, analyzing mould by creation data
Block solves manually experience by the analysis offer repairing preferred plan to historical data and goes to judge that failure and maintenance are corresponding
Maintenance items avoids judging by accident, improves accuracy rate；Simultaneously for the maintenance mans of not correlation experience provide for it is corresponding report for repairment failure with
The maintenance items scheme for maintaining type forms maintenance system service database reference learning, is quickly on duty；In addition it can automatic
Matching is generated before optimal processing scheme allows car operation unit to enter factory's maintenance and is chosen the best alternatives according to the actual situation.With existing skill
Art is compared, the present invention by building data initialization database and operation system database will be seen that vehicle maintenance it is whole when
Between and artificial and material cost information, two databases matched result recommendation more accurately maintenance program jointly.The method is logical
The accumulation precipitating of historical data is crossed, continuous self-teaching optimization improves the accuracy rate of recommendation.
Detailed description of the invention
Present invention will be further explained below with reference to the attached drawings and examples.
Fig. 1 is the process signal of the intelligent maintaining item recommendation method of the present invention based on data analysis self-teaching
Figure；
Fig. 2 is the structure chart of the intelligent maintaining item recommendation system of the present invention based on data analysis self-teaching.
Specific embodiment
In conjunction with the accompanying drawings, the present invention is further explained in detail.These attached drawings are simplified schematic diagram, only with
Illustration illustrates basic flow chart of the invention, therefore it only shows process related to the present invention.
As shown in Figure 1, the present invention is a kind of intelligent maintaining item recommendation method based on data analysis self-teaching, it is described
Method specifically:
S1. maintenance vehicle information is obtained；
S2. according to maintenance vehicle information extraction operation system data；
S3. according to maintenance vehicle acquisition of information initialization data；
S4. method for maintaining is matched with initialization data according to operation system data；
S5. recommend optimal repair scheme after the completion of matching.
Step S1: maintenance vehicle information is obtained.Specially obtain vehicle model, vehicle trouble or maintenance type.
It further include building data initialization database and maintenance system service database before obtaining maintenance vehicle information.Institute
The initialization data library stated provides data, including system history data by the manufacturer of vehicle, right with it about vehicle model
The vehicle initiation parameter answered.The maintenance system service database is for the corresponding maintenance item for reporting failure for repairment and maintaining type
Mesh scheme forms system business database.
Step S2: being according to vehicle trouble or maintenance type according to maintenance vehicle information extraction operation system data
Information obtains method for processing business from service database.Pass through vehicle trouble or maintenance the problems in type and service database
Type is matched, and method for processing business is obtained, and rapid pin recommends the dimension according to time-consuming and cost two out to the failure of vehicle
Degree provides optimal scheme.In view of time and artificial and material cost, selected according to the actual situation for car operation unit
Optimal maintenance program.
Step S3: according to maintenance vehicle acquisition of information initialization data.Described is initial according to maintenance vehicle acquisition of information
Changing data is specially to obtain vehicle initialization data according to vehicle model.
Step S4: method for maintaining is matched with initialization data according to operation system data.It is described according to operation system data
Matched with initialization data method for maintaining be specially matched according to CAR SERVICE processing method with vehicle initiation parameter it is optimal
Repair scheme.
Step S5: recommend optimal repair scheme after the completion of matching.According to reality before car operation unit can be allowed to enter factory's maintenance
Border situation is chosen the best alternatives, and understands time and the cost information of vehicle maintenance entirety.
As shown in Fig. 2, the present invention provides a kind of intelligent maintaining item recommendation systems based on data analysis self-teaching:
Information of vehicles obtains module 1: the information of vehicles obtains module for obtaining maintenance vehicle information；
Operation system data acquisition module 2: the operation system data acquisition module is used for according to maintenance vehicle information extraction industry
Business system data；
Initialization data obtains module 3: the initialization data obtains module and is used to be initialized according to maintenance vehicle acquisition of information
Data；
Data analysis module 4: the data analysis module is used to match maintenance side with initialization data according to operation system data
Method；
Scheme pushing module 5: the scheme pushing module is for recommending optimal repair scheme after the completion of matching.
The information of vehicles obtains module 1: for obtaining maintenance vehicle information.The information of vehicles includes vehicle type
Number, vehicle trouble or maintenance type.
The operation system data acquisition module 2: for according to maintenance vehicle information extraction operation system data.Business number
According to acquisition module according to the method for processing business in vehicle trouble or maintenance type search maintenance system service database.
The initialization data obtains module 3: for according to maintenance vehicle acquisition of information initialization data；Initialization data
It obtains the vehicle initiation parameter that module is searched in data initialization database according to vehicle model and obtains.
The data analysis module 4: for matching method for maintaining with initialization data according to operation system data；Business point
It is specially according at the beginning of CAR SERVICE processing method and vehicle that analysis modular service system data, which matches method for maintaining with initialization data,
Beginningization parameter matches optimal repair scheme.
The scheme pushing module 5: for recommending optimal repair scheme after the completion of matching.
The intelligent maintaining item recommendation system based on data analysis self-teaching, which is characterized in that further include:
Database sharing module: the database sharing module is for constructing data initialization database and maintenance system business number
According to library.
Above-listed detailed description is illustrating for possible embodiments of the present invention, and above embodiments are not to limit this
The scope of the patents of invention, all equivalence enforcements or change without departing from carried out by the present invention, is intended to be limited solely by the scope of the patents of this case.
Claims (10)
1. a kind of intelligent maintaining item recommendation method based on data analysis self-teaching characterized by comprising
Obtain maintenance vehicle information；
According to maintenance vehicle acquisition of information operation system data；
According to maintenance vehicle acquisition of information vehicle initialization data；
Method for maintaining is matched with vehicle initialization data according to operation system data；
Recommend optimal repair scheme after the completion of matching.
2. a kind of intelligent maintaining item recommendation method based on data analysis self-teaching according to claim 1, special
Sign is, before obtaining maintenance vehicle information further include:
Construct data initialization database and maintenance system service database.
3. a kind of intelligent maintaining item recommendation method based on data analysis self-teaching according to claim 1, special
Sign is that the maintenance vehicle information includes vehicle model, vehicle trouble or maintenance type.
4. a kind of intelligent maintaining item recommendation method based on data analysis self-teaching according to claim 1, special
Sign is, described specially according to vehicle trouble or to maintain type information according to maintenance vehicle information extraction operation system data
Method for processing business is obtained from service database.
5. a kind of intelligent maintaining item recommendation method based on data analysis self-teaching according to claim 1, special
Sign is, described specially to obtain vehicle initialization ginseng according to vehicle model according to maintenance vehicle acquisition of information initialization data
Number data.
6. a kind of intelligent maintaining item recommendation method based on data analysis self-teaching according to claim 1, special
Sign is that the method for maintaining that matches according to operation system data with initialization data is specially according to CAR SERVICE processing method
Optimal repair scheme is matched with vehicle initiation parameter.
7. a kind of intelligent maintaining item recommendation system based on data analysis self-teaching characterized by comprising
Information of vehicles obtains module: the information of vehicles obtains module for obtaining maintenance vehicle information；
Operation system data acquisition module: the operation system data acquisition module is used for according to maintenance vehicle information extraction business
System data；
Initialization data obtains module: the initialization data obtains module and is used to initialize number according to maintenance vehicle acquisition of information
According to；
Data analysis module: the data analysis module is used to match maintenance side with initialization data according to operation system data
Method；
Scheme pushing module: the scheme pushing module is for recommending optimal repair scheme after the completion of matching.
8. the intelligent maintaining item recommendation system according to claim 7 based on data analysis self-teaching, feature exist
In, further includes:
Database sharing module: the database sharing module is for constructing data initialization database and maintenance system business number
According to library.
9. a kind of computer readable storage medium, which is characterized in that the computer-readable recording medium storage has computer journey
Sequence instruction, which is suitable for by processor load and perform claim requires 1 ~ 6 described in any item methods.
10. a kind of mobile terminal, which is characterized in that including processor and memory, the processor is for executing storage
The program stored in device, to realize the described in any item methods of claim 1 ~ 6.
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| CN111401586A (en) * | 2020-04-09 | 2020-07-10 | 东风小康汽车有限公司重庆分公司 | Method and device for generating vehicle maintenance recommendation information |
| CN112328875A (en) * | 2020-10-30 | 2021-02-05 | 北京精密机电控制设备研究所 | Intelligent equipment maintenance scheme recommendation method based on big data |
| CN113255943A (en) * | 2021-06-16 | 2021-08-13 | 河南卓瑞智能科技有限公司 | Equipment maintenance reminding and maintenance scheme intelligent management system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111401586A (en) * | 2020-04-09 | 2020-07-10 | 东风小康汽车有限公司重庆分公司 | Method and device for generating vehicle maintenance recommendation information |
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| CN113255943A (en) * | 2021-06-16 | 2021-08-13 | 河南卓瑞智能科技有限公司 | Equipment maintenance reminding and maintenance scheme intelligent management system |
| CN113255943B (en) * | 2021-06-16 | 2022-12-09 | 河南卓瑞智能科技有限公司 | Equipment maintenance reminding and maintenance scheme intelligent management system |
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