CN108171340A - For carrying out mirror method for distinguishing, equipment and storage medium to bicycle repairing information - Google Patents
For carrying out mirror method for distinguishing, equipment and storage medium to bicycle repairing information Download PDFInfo
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- CN108171340A CN108171340A CN201711350315.9A CN201711350315A CN108171340A CN 108171340 A CN108171340 A CN 108171340A CN 201711350315 A CN201711350315 A CN 201711350315A CN 108171340 A CN108171340 A CN 108171340A
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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
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
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Abstract
The embodiment of the present invention provides one kind for carrying out mirror method for distinguishing, equipment and storage medium to bicycle repairing information, belongs to bicycle field.The method includes：Receive the repairing information from client；Feature is extracted out of this repairing information；And the feature of the repairing information is input to discriminating model, to differentiate the authenticity of the repairing information；Wherein, the discriminating model is based on history repairing information and is established.Pass through the application above-mentioned technical proposal, the repairing information received can be differentiated by discriminating model, since the discriminating model is established based on history repairing information, so when being differentiated using the discriminating model to repairing information, it can be with history repairing information as a reference to differentiating to repairing information, therefore the identification result of the application above-mentioned technical proposal is more accurate credible relative to the prior art.
Description
Technical field
The present invention relates to bicycle fields, are used to carry out mirror method for distinguishing to bicycle repairing information more particularly to one kind, set
Standby and storage medium.
Background technology
The appearance of shared bicycle, the trip for people are provided convenience.But the high frequency of use of bicycle, also results in failure
The appearance of vehicle.After user's barcode scanning is unlocked, when finding that the bicycle is faulty, it can be reported for repairment.To encourage user to faulty
Bicycle guaranteed to keep in good repair, after user reports bicycle for repairment, providing the enterprise of the bicycle generally can be single free by this.But this can also lead
Certain customers are caused, maliciously report for repairment to obtain the chance freely ridden.Such case at least brings three sides to shared bicycle enterprise
The serious consequence in face：First, bring economic loss to bicycle enterprise；Second is that the bicycle that malice is reported for repairment, may not have failure,
But it can not find when operation maintenance personnel goes to return the vehicle to the garage and knock off, increase O＆M burden；Third, bring " noise ", dirty data, meeting to back-end data
Data analysis, research work to the later stage bring interference.
Invention content
The purpose of the embodiment of the present invention is to provide one kind for carrying out mirror method for distinguishing, equipment to bicycle repairing information and depositing
Storage media, at least solve the problems, such as in the prior art to the repairing information of bicycle do mirror method for distinguishing it is not accurate enough reliable.
To achieve these goals, the embodiment of the present invention provides a kind of side for being differentiated to bicycle repairing information
Method, this method are performed by server, the method includes：Receive the repairing information from client；It is carried out of this repairing information
Take feature；And the feature of the repairing information is input to discriminating model, to differentiate the authenticity of the repairing information；Its
In, the discriminating model is based on history repairing information and is established.
Optionally, it is described discriminating model be based on history repairing information and be established including：Determine a discriminating model；Acquisition is more
A history repairing information is as sample data；Extract the feature of each history repairing information in the multiple history repairing information；
Judge the authenticity of each history repairing information in the multiple history repairing information；And letter is reported for repairment according to the multiple history
The authenticity and feature of each history repairing information in breath are trained the discriminating model, to determine the discriminating model
Model parameter.
Optionally, the feature of the repairing information is identical with the type and dimension of the feature of the history repairing information.
Optionally, the authenticity for judging each history repairing information in the multiple history repairing information includes：If
Detect that history is reported for repairment in the first preset time after occurring, which reports corresponding bicycle for repairment and ridden by normal more than the
One pre-determined distance, then it is false repairing information to judge that the history reports corresponding history repairing information for repairment；If detecting, history reports hair for repairment
In the second preset time after before death, which reports corresponding bicycle for repairment and is reported for repairment more than preset times, and is not ridden normally
For row more than the second pre-determined distance, then it is true repairing information to judge that the history reports corresponding history repairing information for repairment.
Optionally, the feature includes the person's of reporting for repairment feature, bicycle feature and/or real-time characteristic.
Optionally, the person's of reporting for repairment feature include it is following at least one：Gender, place city, credit value, is ridden at the age
Number reports number for repairment and reports ratio for repairment.
Optionally, the bicycle feature include it is following at least one：Bicycle type, lock type, history ride number, go through
History reports number for repairment, history reports position for repairment, history reports geographical location for repairment and launches duration.
Optionally, the real-time characteristic include it is following at least one：It reports geographical location for repairment, reports the time for repairment, report position for repairment, open
It shuts the time and reports the movable information of bicycle in rear preset time for repairment.
Optionally, the method further includes：When the repairing information is identified as true repairing information, notice bicycle repair
System；When the repairing information is identified as false repairing information, the repairing information is marked.
Optionally, the method further includes：Receive the person of reporting for repairment complaint information, and according to it is described complaint information monitoring and/
Or correct the discriminating model.
The embodiment of the present application also provides a kind of equipment for being differentiated to bicycle repairing information, and the equipment includes place
Reason device and the memory for being stored with computer program, when the computer program is run by the processor, perform above-mentioned
Method.
The embodiment of the present application also provides a kind of machine readable storage medium, and finger is stored on the machine readable storage medium
It enables, the instruction is for so that machine performs above-mentioned method.
By the application above-mentioned technical proposal, the repairing information received can be differentiated by discriminating model, due to
The discriminating model is established based on history repairing information, so being differentiated using the discriminating model to repairing information
When, repairing information can be differentiated with reference to history repairing information, identification result is accurately credible.
The other feature and advantage of the embodiment of the present invention will be described in detail in subsequent specific embodiment part.
Description of the drawings
Attached drawing is that the embodiment of the present invention is further understood for providing, and a part for constitution instruction, under
The specific embodiment in face is used to explain the embodiment of the present invention, but do not form the limitation to the embodiment of the present invention together.Attached
In figure：
Fig. 1 is the flow for being used to carry out bicycle repairing information mirror method for distinguishing that a kind of embodiment of the application provides
Figure；
Fig. 2 is the flow chart for the method that the foundation that a kind of embodiment of the application provides differentiates model；And
Fig. 3 is the stream for being used to carry out bicycle repairing information mirror method for distinguishing that a kind of optional embodiment of the application provides
Cheng Tu.
Specific embodiment
The specific embodiment of the embodiment of the present invention is described in detail below in conjunction with attached drawing.It should be understood that this
Locate described specific embodiment and be merely to illustrate and explain the present invention embodiment, be not intended to restrict the invention embodiment.
Fig. 1 is the flow for being used to carry out bicycle repairing information mirror method for distinguishing that a kind of embodiment of the application provides
Figure.As shown in Figure 1, the application embodiment provide it is a kind of for carrying out mirror method for distinguishing to bicycle repairing information, this method by
Server performs, the method includes：
Step S101 receives the repairing information from client.
Step S102 extracts feature out of this repairing information.
The feature is input to discriminating model by step S103, to differentiate the authenticity of the repairing information.
Wherein, the discriminating model is based on history repairing information and is established.Wherein, the history repairing information refers to
Model is established before by the repairing information for different bicycles of user feedback, and the history repairing information for establishing model
To determine the history repairing information of its authenticity by other methods.
By the application above-mentioned technical proposal, the repairing information received can be differentiated by discriminating model, due to
The discriminating model is established based on history repairing information, so being differentiated using the discriminating model to repairing information
When, it can be with history repairing information as a reference to differentiating to repairing information, therefore the mirror of the application above-mentioned technical proposal
Other result is accurately credible.
Fig. 2 is the flow chart for the method that the foundation that a kind of embodiment of the application provides differentiates model.As shown in Fig. 2, it builds
The vertical method for differentiating model includes：
Step S201 determines a discriminating model；
Step S202 acquires multiple history repairing informations as sample data.
Step S203 extracts the feature of each history repairing information in multiple history repairing informations.
Step S204 judges the authenticity of each history repairing information in multiple history repairing informations.
Step S205 is right according to the authenticity and feature of history repairing information each in the multiple history repairing information
The discriminating model is trained, to determine the model parameter of the discriminating model.
Wherein, the multiple history repairing information may, for example, be over going through in one day, one week, two weeks or one month
History repairing information.It will be appreciated by persons skilled in the art that in this method, the sequence of above-mentioned steps S203 and step S204 are
It is can overturning or can be carried out at the same time.As the preferred embodiment of the application, the sample data of acquisition can be with
Repairing information to be judged has same or similar objective condition, such as bicycle type corresponding to them is identical or it
Corresponding bicycle in same city etc..
During discriminating model is established, extraction is characterized in extremely important as the history repairing information of sample data
A link.Since the behavior of reporting for repairment is really a kind of behavior of the people to bicycle, it is to weigh people and bicycle two actually to report discriminating for repairment
A kind of relationship between person, therefore following three types of feature can be chosen as the feature being extracted.
1st, the person's of reporting for repairment feature, the person's of reporting for repairment feature reflect the information of the person of reporting for repairment, can include static nature and behavioral characteristics.
For example, static nature can include the gender of the person of reporting for repairment, age, the feature that place city etc. generally will not change；Behavioral characteristics,
Statistical nature is referred to as, for example, the credit value of the person of reporting for repairment can be included and in history (past one week, two for a period of time
Week, one month) number of riding, report number for repairment and report for repairment ratio etc. can dynamic change information.
2nd, bicycle feature, bicycle feature reflect the information for being reported for repairment bicycle, can equally include static nature and dynamic
Feature.The static nature of bicycle can feature that for example type including bicycle, the type of lock etc. will not generally change；Bicycle
Behavioral characteristics, can be for example including being reported for repairment bicycle in history for a period of time (such as in the past one day, two days, one week, two weeks)
Normal number of riding, report number for repairment, report most positions for repairment and the geographical location reported for repairment and launch duration etc..These features
The health status for being reported for repairment bicycle can fully be reacted.
3rd, real-time characteristic, real-time characteristic reflects that bicycle is reported for repairment information at that time, such as bicycle was reported for repairment in the rear short time
The real time information that can be obtained.For example, the real-time characteristic can include：The geographical location of bicycle, reports the time for repairment when reporting for repairment, this
The position reported for repairment, this switch lock time report movable information of vehicle etc. in the rear short time for repairment.The wherein described short time for example may be used
To be 5 minutes.
In specific implementation, those skilled in the art can be according to the above-mentioned of actual conditions selective extraction history repairing information
Whole features or Partial Feature in feature, but for history repairing information each in multiple history repairing informations, the spy of extraction
The dimension and type of sign generally should be identical.
In addition, in order to establish discriminating model, it is necessary first to judge the true of each history repairing information as sample data
Reality, that is, judge that each history is reported for repairment and really report for repairment or vacation is reported for repairment, it in this way could be according to the history for having determined that authenticity
The feature of repairing information come to differentiate model be trained, determine differentiate model model parameter.For accurate judgement history report
The authenticity of information is repaiied, can be judged according to the information reported for repairment after time point corresponding to history repairing information, institute
It states the information reported for repairment after time point corresponding to history repairing information and is hereinafter referred to as judging information, which can be with
Situation about being used after time point is reported for repairment including the corresponding bicycle of history repairing information and situation about being reported for repairment etc., and
And in order to ensure judging result is more accurate, need to acquire judgement information as much as possible, such as the history report can be acquired
Repair all judgement information reported for repairment after the time in two hours (or more long) corresponding to information.As described above,
Reporting time point certain period of time (as escribed above two hour) after can obtain corresponding to history repairing information more has
Conducive to the judgement information for judging that the history reports authenticity for repairment, therefore judge information based on these, can relatively accurately determine should
The authenticity of history repairing information, so judging that the judging result of history repairing information that information obtains can be used for based on these
Determine the model parameter of discriminating model.
In a kind of optional embodiment of the application, each history repairing information in the multiple history repairing information is judged
The method of authenticity include：If detecting, history is reported for repairment in the first preset time after occurring, which reports for repairment corresponding
Bicycle normally ridden more than the first pre-determined distance, then it is that letter is reported in vacation for repairment to judge that the history reports corresponding history repairing information for repairment
Breath；If detecting that history is reported for repairment to occur in the second front and rear preset time, which, which reports corresponding bicycle for repairment and reported for repairment, is more than
Preset times, and do not ridden more than the second pre-determined distance normally, then judge that the history reports corresponding history repairing information for repairment and is
True repairing information.Wherein, first preset time may, for example, be 2 hours, and the first pre-determined distance may, for example, be 500 meters,
Second preset time may, for example, be 12 hours, and the second pre-determined distance may, for example, be 200 meters, and the preset times can be such as
It is 3 times.If that is, detect that the corresponding bicycle of history repairing information in 2 hours, has and normally rides after being reported for repairment
It order and rides more than 500 meters, it is determined that the history repairing information is false repairing information；If the corresponding list of history repairing information
To be reported for repairment in front and rear 12 hours be more than 3 times to vehicle being reported for repairment, and the bicycle is not sent out being reported for repairment in front and rear 12 hours
The raw order ridden more than 200 meters, it is determined that the history repairing information is true repairing information.For not meeting above-mentioned two situations
History repairing information, due to being difficult to confirm its authenticity, thus not as sample data.It will be appreciated by those skilled in the art that
, the above embodiment is only a kind of preferred embodiment, and the application is not limited to above-mentioned specific embodiment, above-mentioned
Various conditions and numerical value in embodiment can be reconfigured and be changed according to actual conditions.
It is each in multiple history repairing informations for having determined authenticity in a kind of preferred embodiment of the application
The feature of history repairing information, can be by machine learning techniques come training pattern.Specifically, machine learning field may be used
Sorting algorithm train discriminating model, in the case of the feature of extraction is in tens to hundreds of dimension ranks, can for example pass through
Decision tree or similar algorithm train discriminating model, so as to improve efficiency.For by sorting algorithm come the tool of training pattern
Body method (such as by decision tree come the method for training pattern) belongs to the prior art, is repeated no more in this.
In addition, when the feature using extraction is to differentiating that model is trained, iteration optimization can be done in sample data,
I.e. in the training process, sample data is input to discriminating model, the output result for differentiating model is compared with actual conditions
Compared with, the model parameter for differentiating model is adjusted by comparing result, is then constantly repeated the above process, the mirror finally established with raising
The reliability of the output result of other model.Furthermore, it is possible to a part is taken to be used for differentiating that model carries out at random from sample data
Training, and another part is used for differentiating that model is tested, to determine better model parameter.
In the application above-mentioned technical proposal, after the authenticity for determining history repairing information, big data, machine can be utilized
Device learning art etc. carries out depth analysis, research and calculating with training to the feature of true repairing information and the feature of false repairing information
Differentiate model.
In a kind of embodiment of the application, the type and dimension of the feature of repairing information and the feature of history repairing information
Identical, i.e., the feature of repairing information can also include the above-mentioned person's of reporting for repairment feature, bicycle feature and real-time characteristic, and the report extracted
The feature for repairing information is identical with the type and dimension of the feature of the history repairing information as sample data extracted.It is in view of described
Differentiate that model is the feature based on history repairing information and is established, therefore in the feature for extracting repairing information, need to extract
The feature identical with the type of the feature of history repairing information, and in order to ensure the reliability of output result, letter is reported in extraction for repairment
The dimension of breath can be identical with the dimension of the feature of history repairing information, that is, feature and the history of the repairing information extracted report letter for repairment
Whole features of breath are corresponding.It will be appreciated by persons skilled in the art that the above embodiment is preferred as just one kind
Embodiment in specific implementation, can also be extracted only identical with the type of the feature of history repairing information in repairing information
A part of feature in feature is simultaneously input to and differentiates model to differentiate the authenticity of repairing information.
Fig. 3 is the stream for being used to carry out bicycle repairing information mirror method for distinguishing that a kind of optional embodiment of the application provides
Cheng Tu.As shown in figure 3, in a kind of optional embodiment of the application, the side for being differentiated to bicycle repairing information
Method further includes：
Step S301, judges identification result, when the repairing information is identified as true repairing information, goes to step
Rapid S302；When the repairing information is identified as false repairing information, step S303 is gone to.
Step S302 notifies bicycle maintenance system.
Step S303 marks the repairing information.
It by the above method of present embodiment, can realize when it is really to report for repairment to report for repairment, notify bicycle maintenance system, with
Follow-up operation maintenance personnel is enable to find in time and repairs the bicycle；When it is that vacation is reported for repairment to report for repairment, can to this repairing information into
Line flag to be treated in subsequent data analysis and using upper differentiation, so as to reduce the noise of back-end data, and is reported pair this for repairment
The order answered can still carry out fee deduction treatment, to reduce the loss in bicycle business economic.
In addition, although the feature that discriminating model is foundation history repairing information is established, its identification result may also go out
Existing mistake, therefore, in a kind of optional embodiment of the application, the method further includes：The complaint information of the person of reporting for repairment is received, and
According to the complaint information monitoring and/or correct the discriminating model.If that is, differentiate Model checking mistake, the person of reporting for repairment
It has objection to reporting recognition result for repairment, can walk to appeal flow.Operation maintenance personnel or repair reporting system can pass through the complaint information of the person of reporting for repairment
To monitor the robustness for differentiating model.It, can also be according to the person of reporting for repairment when operation maintenance personnel or repair reporting system find that complaint rate is excessively high
Complaint information, in turn correct differentiate model, with it is continuous promoted differentiate model judging result accuracy rate.
The application said program is by regarding the historical data information for having determined authenticity as sample data, and to sample
Data carry out depth analysis, extract relevant feature before and after time point is reported for repairment or at that time, differentiate true and false report to establish
Repair the discriminating model of information.Then by extracting the feature of repairing information to be identified, using the discriminating model come to be identified
The feature reported for repairment analyzed authenticity to determine repairing information to be identified.Relative to existing discrimination method, this Shen
Please said program with reference to history repairing information and be utilized posteriority rule, therefore identification result more it is reliable accurately.
The application embodiment provides a kind of equipment for being differentiated to bicycle repairing information, and the equipment includes place
Reason device and the memory for being stored with computer program, when the computer program is run by the processor, perform above-mentioned
Method.
The application embodiment also provides a kind of machine readable storage medium, and finger is stored on the machine readable storage medium
It enables, the instruction is for so that machine performs above-mentioned method.
The optional embodiment of the embodiment of the present invention is described in detail above in association with attached drawing, still, the embodiment of the present invention is simultaneously
The detail being not limited in the above embodiment, can be to of the invention real in the range of the technology design of the embodiment of the present invention
The technical solution for applying example carries out a variety of simple variants, these simple variants belong to the protection domain of the embodiment of the present invention.
It is further to note that specific technical features described in the above specific embodiments, in not lance
In the case of shield, it can be combined by any suitable means.In order to avoid unnecessary repetition, the embodiment of the present invention pair
Various combinations of possible ways no longer separately illustrate.
It will be appreciated by those skilled in the art that all or part of the steps of the method in the foregoing embodiments are can to pass through
Program is completed to instruct relevant hardware, which is stored in a storage medium, is used including some instructions so that single
Piece machine, chip or processor (processor) perform all or part of step of each embodiment the method for the application.It is and preceding
The storage medium stated includes：USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory
The various media that can store program code such as (RAM, Random Access Memory), magnetic disc or CD.
In addition, arbitrary combination can also be carried out between a variety of different embodiments of the embodiment of the present invention, as long as it is not
The thought of the embodiment of the present invention is violated, should equally be considered as disclosure of that of the embodiment of the present invention.
Claims (12)
- For carrying out mirror method for distinguishing to bicycle repairing information, 1. this method is performed one kind by server, which is characterized in that described Method includes：Receive the repairing information from client；Feature is extracted out of this repairing information；AndThe feature is input to discriminating model, to differentiate the authenticity of the repairing information,Wherein, the discriminating model is based on history repairing information and is established.
- 2. according to the method described in claim 1, it is characterized in that, the discriminating model is based on history repairing information and is established Including：Determine a discriminating model；Multiple history repairing informations are acquired as sample data；Extract the feature of each history repairing information in the multiple history repairing information；Judge the authenticity of each history repairing information in the multiple history repairing information；AndAccording to the authenticity and feature of history repairing information each in the multiple history repairing information, to the discriminating model into Row training, to determine the model parameter of the discriminating model.
- 3. according to the method described in claim 2, it is characterized in that, the feature of the repairing information and the history repairing information Feature type it is identical with dimension.
- 4. according to the method described in claim 2, it is characterized in that, described judge each to go through in the multiple history repairing information The authenticity of history repairing information includes：If detecting, history is reported for repairment in the first preset time after occurring, which reports corresponding bicycle for repairment and normally ridden More than the first pre-determined distance, then it is false repairing information to judge that the history reports corresponding history repairing information for repairment；If detecting that history is reported for repairment to occur in the second front and rear preset time, which, which reports corresponding bicycle for repairment and reported for repairment, is more than Preset times, and do not ridden more than the second pre-determined distance normally, then judge that the history reports corresponding history repairing information for repairment and is True repairing information.
- 5. according to the method described in any one of claim 1-4 claims, which is characterized in that the feature includes the person of reporting for repairment Feature, bicycle feature and/or real-time characteristic.
- 6. according to the method described in claim 5, it is characterized in that, the person's of reporting for repairment feature include it is following at least one：Gender, Age, credit value, number of riding, reports number for repairment and reports ratio for repairment at place city.
- 7. according to the method described in claim 5, it is characterized in that, the bicycle feature include it is following at least one：Bicycle class When type, lock type, history are ridden that number, history report number for repairment, history reports position for repairment, history reports geographical location for repairment and are launched It is long.
- 8. according to the method described in claim 5, it is characterized in that, the real-time characteristic include it is following at least one：Report ground for repairment Reason position reports the time for repairment, reports position, switch lock time and the movable information for reporting bicycle in rear preset time for repairment for repairment.
- 9. according to the method described in claim 1, it is characterized in that, the method further includes：When the repairing information is identified as true repairing information, bicycle maintenance system is notified；When the repairing information is identified as false repairing information, the repairing information is marked.
- 10. the method according to claim 1 or 9, which is characterized in that the method further includes：Receive the complaint of the person of reporting for repairment Information, and according to the complaint information monitoring and/or correct the discriminating model.
- 11. a kind of equipment for being differentiated to bicycle repairing information, which is characterized in that the equipment includes processor, with And the memory of computer program is stored with, when the computer program is run by the processor, perform such as claim 1- Method described in 10 any one.
- 12. a kind of machine readable storage medium, instruction is stored on the machine readable storage medium, the instruction is for so that machine Perform the method as described in claim 1-10 any one.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201711350315.9A CN108171340A (en) | 2017-12-15 | 2017-12-15 | For carrying out mirror method for distinguishing, equipment and storage medium to bicycle repairing information |
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| CN201711350315.9A CN108171340A (en) | 2017-12-15 | 2017-12-15 | For carrying out mirror method for distinguishing, equipment and storage medium to bicycle repairing information |
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| CN111369012A (en) * | 2018-12-06 | 2020-07-03 | 北京嘀嘀无限科技发展有限公司 | System and method for identifying damaged vehicles in online-to-offline service |
| CN111369704A (en) * | 2018-12-26 | 2020-07-03 | 北京骑胜科技有限公司 | Vehicle processing method and system |
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| CN111861625A (en) * | 2019-12-31 | 2020-10-30 | 北京骑胜科技有限公司 | Abnormal order determining method and device |
| CN111860878A (en) * | 2019-12-31 | 2020-10-30 | 北京骑胜科技有限公司 | Repair reporting method for shared bicycle, server, electronic device and storage medium |
| CN111429226A (en) * | 2020-03-30 | 2020-07-17 | 北京骑胜科技有限公司 | Order repairing method and device |
| CN113360628A (en) * | 2021-07-26 | 2021-09-07 | 广州市琪讯数码科技有限公司 | Network repair event layered maintenance method and system based on problem knowledge base |
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