CN110046719A - A kind of bicycle method for diagnosing status and device - Google Patents
A kind of bicycle method for diagnosing status and device Download PDFInfo
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- CN110046719A CN110046719A CN201910210755.7A CN201910210755A CN110046719A CN 110046719 A CN110046719 A CN 110046719A CN 201910210755 A CN201910210755 A CN 201910210755A CN 110046719 A CN110046719 A CN 110046719A
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Abstract
The embodiment of the present invention provides a kind of bicycle method for diagnosing status, which comprises obtains that vehicle under vehicle primary condition is in every kind of shape probability of state and vehicle history is ridden data；According to the environment where vehicle, vehicle riding apart from generating probability in each state is determined；Be in every kind of shape probability of state according to vehicle under vehicle primary condition, vehicle history is ridden data and vehicle riding apart from generating probability in each state, determine that vehicle's current condition and vehicle are in current each shape probability of state.The present invention can generate Different Effects to the driving behavior for the people that rides according to different vehicle-states, to propose according to less expensive, be easy to get, estimate convenient for the driving behavior feature of processing to vehicle-state, a kind of vehicle-state diagnostic method economical and practical, feasibility is strong is proposed.
Description
Technical field
The present invention relates to shared bicycle vehicle-state judgment technology fields, and in particular to a kind of bicycle method for diagnosing status
With device.
Background technique
The judgement of so-called vehicle-state is that people ride that influence carried out vehicle normal and various according to vehicle to car user
The judgement of grade failure.Directly vehicle is diagnosed by professional technician to determine whether vehicle normal and fault level,
It is most direct, most effective means, but since shared bicycle input amount is huge, mobility is strong, and this mode takes time and effort cost
It is huge, do not have feasibility in practice.
Summary of the invention
The embodiment of the present invention provides a kind of bicycle method for diagnosing status and device, can be to riding according to different vehicle-states
The behavior of pedestrian generates Different Effects, to propose according to less expensive, be easy to get, special convenient for the driving behavior of processing
Sign estimates vehicle-state, proposes a kind of vehicle-state diagnostic method economical and practical, feasibility is strong.
To achieve the above object, on the one hand, the embodiment of the invention provides a kind of bicycle method for diagnosing status, the sides
Method includes:
Obtain that vehicle under vehicle primary condition is in every kind of shape probability of state and vehicle history is ridden data；
According to the environment where vehicle, vehicle riding apart from generating probability in each state is determined；
Every kind of shape probability of state is according to vehicle under vehicle primary condition, vehicle history rides data and vehicle each
State is ridden apart from generating probability, determines that vehicle's current condition and vehicle are in current each shape probability of state.
On the other hand, the embodiment of the invention provides a kind of bicycle state diagnostic apparatus, described device includes:
Data capture unit is in every kind of shape probability of state and vehicle history for obtaining vehicle under vehicle primary condition
It rides data；
Probability analysis unit determines vehicle riding apart from generating probability in each state according to the environment where vehicle；
Current state determination unit is in every kind of shape probability of state according to vehicle under vehicle primary condition, vehicle history is ridden
Line number accordingly and vehicle riding apart from generating probability in each state, determines that vehicle's current condition and vehicle are in current each shape
Probability of state.
Above-mentioned technical proposal has the following beneficial effects: that the present invention provides a kind of application vehicle data of riding to judge vehicle
Vehicle is divided into different conditions by the calculation method of state, this method, there is certain transition probability between state, constitutes Ma Erke
Husband's chain, and according under different vehicle state the ride probability of distance of hirer will be different, vehicle is ridden apart from conduct
The signal of vehicle-state constitutes hidden markov chain, utilizes range data estimating vehicle states probability of riding.Hold with data
Easily obtain, simple operation and it is low in cost the advantages that, before the fields such as shared bicycle, public bicycles have a wide range of applications
Scape.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is a kind of flow chart of bicycle method for diagnosing status of the embodiment of the present invention；
Fig. 2 is a kind of schematic diagram of bicycle state diagnostic apparatus of the embodiment of the present invention；
Fig. 3 is the schematic diagram of historical data acquiring unit in the embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
As shown in Figure 1, a kind of bicycle method for diagnosing status provided by the invention, comprising:
S101, obtain that vehicle under vehicle primary condition is in every kind of shape probability of state and vehicle history is ridden data；
It determines vehicle original state S, determines that vehicle is in the probability π of each statei, πiIndicate that vehicle-state is the first of i
Beginning probability；It is described vehicle original state to be divided according to the actual situation, for example, vehicle original state includes: good
State and service mode is needed, vehicle original state also may include: kilter, serviceable condition and need service mode；Root
According to need to the state to vehicle more accurately hold and distinguish.
Each state probability π of vehicleiIt can rule of thumb give, an initial value can also be first given, according to data of riding
It is corrected using Baum-Walch algorithm.
Vehicle history data of riding include distance of riding that vehicle uses every time, also may include vehicle ride total distance,
Vehicle frequency of use and vehicle come into operation total time etc..
It determines and rides range data section R according to vehicle history data of riding, ridden data, differently according to vehicle history
Area, season, weather and people (user ride data) have different divisions, the signal as vehicle-state；Range data of riding area
Between R classify to range data of riding, can according to associated specialist experience and historical data setting type and every one kind be wrapped
What is contained rides apart from section.
S102, according to the environment where vehicle, determine vehicle riding apart from generating probability in each state；
According to the environment where vehicle, vehicle riding apart from generating probability matrix B in each state is determined, wherein element bir
Indicate vehicle ride in state i range data section be r generating probability；
The element b of each state of vehicle to ride apart from generating probability matrix BirCan according to different regions, season, weather and
Personal and different, extreme situation is that the state generating probability ridden every time is different from, for example generator matrix is Bt, t is t
It is secondary to ride, elementRide for the t times, vehicle ride in state i range data section be r generating probability.
S103, every kind of shape probability of state is according to vehicle under vehicle primary condition, vehicle history is ridden data and vehicle
Riding apart from generating probability in each state determines that vehicle's current condition and vehicle are in current each shape probability of state.
It is ridden data according to the vehicle history, obtains vehicle and ride range data set OT, OTIt indicates to ride for first T times, institute
There is the distance type set of riding in riding；Element otIt rides for vehicle when riding for the t times the types value in range data section,
T ∈ { 1,2,3 ... ..., T }, T are the total degree that vehicle is ridden, ot∈R；R is range data section of riding；
Determine vehicle riding apart from generating probability matrix B in each state, wherein element birIndicate that vehicle is ridden in state i
Row distance data interval is the generating probability of r；
XtIndicate vehicle-state stochastic variable, subscript t indicates to ride for the t times, αt,iFor joint probability, αt,iT times before indicating
It rides, all distance type collection of riding are combined into otWhen, vehicle's current condition XtFor the probability of i, αt,i=P { Xt=i, ot}；
Vehicle-state transition probability matrix P is determined by following formula, wherein element pijIndicate vehicle by state i steering state j
Probability；
Then pass through following iterative calculating
In the known range data series O that ridesTIn the case where, current vehicle, which is calculated, using Bayesian formula is in each state
Probability (conditional probability) be
As t=T, probability P { XT=i | OTIt is the probability that vehicle is in current state i.
For vehicle-state transfer matrix P, wherein element pijIndicate vehicle by the probability of state i steering state j；Element
pijIt can change with aging actions such as vehicle driving distance or making times, extreme situation is the transition probability ridden every time
It is different from, for example transfer matrix is Pt, t is to ride for the t times, elementIt rides for the t times, vehicle-state is changed into j from i
Probability.
Further, the method also includes:
It is in current each shape probability of state according to vehicle, by expectation and square solution method, acquisition is currently at each
The vehicle number of kind state.
If total vehicle number is m, the expectation and variance of every kind of state vehicle number are calculated
It is desired for
Variance is
Other than it is expected and variance is used to be in the judgement of each state vehicle number to certain bicycle station or certain maintenance area, also
Area's vehicle-state can be analyzed and be judged accordingly using descruotuve statu statistical method and index.
For public bicycle vehicle, since its input amount is big, mobility is strong, and vehicle state in which can not directly be seen
Measure, and when vehicle is ridden under different conditions, distance of riding will be different, according to vehicle each state ride away from
From generating probability difference, then would know that vehicle original state and initial state probabilities, state transition probability matrix and state with
It rides in the case where the generating probability matrix, so that it may according to ride signals or the signal collection such as distance that can observe, calculate
The probability of vehicle status can also calculate the optimum state sequence sets that vehicle is in each state using Viterbi algorithm.
If state transition probability matrix and state with ride unknown apart from generating probability matrix, Baum- can also be applied
Welch algorithm estimates the value of two probability matrixs.Hidden Markov Model is based on classical bayes rule and Markov
A kind of mathematical model of chain, makes full use of the Conversion Relations between state and signal, is conducive to will be unable to or cost price pole
High status monitoring is replaced with relatively easy or low-cost signal monitoring, has good operability and extremely strong cost
Advantage.
As shown in Fig. 2, a kind of bicycle state diagnostic apparatus provided by the invention, described device include:
Data capture unit 21, for obtaining, vehicle is in every kind of shape probability of state under vehicle primary condition and vehicle is gone through
History is ridden data；
Probability analysis unit 22 determines vehicle riding apart from generating probability in each state according to the environment where vehicle；
Current state determination unit 23 is in every kind of shape probability of state, vehicle history according to vehicle under vehicle primary condition
Data of riding and vehicle riding apart from generating probability in each state determine that vehicle's current condition and vehicle are in current each
Shape probability of state.
Further, the data capture unit 21 includes:
Original state determining module 221, the probability for determining that vehicle is in shape and needing service mode.
Further, the data capture unit 21 includes:
Vehicle history is ridden data acquisition module 222, the distance of riding used every time for obtaining vehicle.
Further, the current state determination unit 23 is specifically used for:
It is ridden data and vehicle riding apart from generating probability in each state according to vehicle history, determines that vehicle-state turns
Move probability；
It is in every kind of shape probability of state and vehicle-state transition probability according to vehicle under vehicle primary condition, determines vehicle
Current state and vehicle are in current each shape probability of state.
Further, described device further include:
Overall vehicle state judging unit passes through expectation and variance for being in current each shape probability of state according to vehicle
Method for solving obtains the vehicle number for being currently at each state.
It should be understood that the particular order or level of the step of during disclosed are the examples of illustrative methods.Based on setting
Count preference, it should be appreciated that in the process the step of particular order or level can be in the feelings for the protection scope for not departing from the disclosure
It is rearranged under condition.Appended claim to a method is not illustratively sequentially to give the element of various steps, and not
It is to be limited to the particular order or level.
In above-mentioned detailed description, various features are combined together in single embodiment, to simplify the disclosure.No
This published method should be construed to reflect such intention, that is, the embodiment of theme claimed needs to compare
The more features of the feature clearly stated in each claim.On the contrary, as appended claims is reflected
Like that, the present invention is in the state fewer than whole features of disclosed single embodiment.Therefore, appended claims
It is hereby expressly incorporated into detailed description, wherein each claim is used as alone the individual preferred embodiment of the present invention.
For can be realized any technical staff in the art or using the present invention, above to disclosed embodiment into
Description is gone.To those skilled in the art；The various modifications mode of these embodiments will be apparent from, and this
The General Principle of text definition can also be suitable for other embodiments on the basis of not departing from the spirit and scope of the disclosure.
Therefore, the disclosure is not limited to embodiments set forth herein, but most wide with principle disclosed in the present application and novel features
Range is consistent.
Description above includes the citing of one or more embodiments.Certainly, in order to describe above-described embodiment and description portion
The all possible combination of part or method is impossible, but it will be appreciated by one of ordinary skill in the art that each implementation
Example can do further combinations and permutations.Therefore, embodiment described herein is intended to cover fall into the appended claims
Protection scope in all such changes, modifications and variations.In addition, with regard to term used in specification or claims
The mode that covers of "comprising", the word is similar to term " includes ", just as " including " solved in the claims as transitional word
As releasing.In addition, the use of any one of specification in claims term "or" being to indicate " non-exclusionism
Or ".
Those skilled in the art will also be appreciated that the various illustrative components, blocks that the embodiment of the present invention is listed
(illustrative logical block), unit and step can by electronic hardware, computer software, or both knot
Conjunction is realized.For the replaceability (interchangeability) for clearly showing that hardware and software, above-mentioned various explanations
Property component (illustrative components), unit and step universally describe their function.Such function
It can be that the design requirement for depending on specific application and whole system is realized by hardware or software.Those skilled in the art
Can be can be used by various methods and realize the function, but this realization is understood not to for every kind of specific application
Range beyond protection of the embodiment of the present invention.
Various illustrative logical blocks or unit described in the embodiment of the present invention can by general processor,
Digital signal processor, specific integrated circuit (ASIC), field programmable gate array or other programmable logic devices, discrete gate
Or transistor logic, discrete hardware components or above-mentioned any combination of design carry out implementation or operation described function.General place
Managing device can be microprocessor, and optionally, which may be any traditional processor, controller, microcontroller
Device or state machine.Processor can also be realized by the combination of computing device, such as digital signal processor and microprocessor,
Multi-microprocessor, one or more microprocessors combine a digital signal processor core or any other like configuration
To realize.
The step of method described in the embodiment of the present invention or algorithm can be directly embedded into hardware, processor execute it is soft
The combination of part module or the two.Software module can store in RAM memory, flash memory, ROM memory, EPROM storage
Other any form of storaging mediums in device, eeprom memory, register, hard disk, moveable magnetic disc, CD-ROM or this field
In.Illustratively, storaging medium can be connect with processor, so that processor can read information from storaging medium, and
It can be to storaging medium stored and written information.Optionally, storaging medium can also be integrated into the processor.Processor and storaging medium can
To be set in asic, ASIC be can be set in user terminal.Optionally, processor and storaging medium also can be set in
In different components in the terminal of family.
In one or more exemplary designs, above-mentioned function described in the embodiment of the present invention can be in hardware, soft
Part, firmware or any combination of this three are realized.If realized in software, these functions be can store and computer-readable
On medium, or it is transferred on a computer readable medium in the form of one or more instructions or code forms.Computer readable medium includes electricity
Brain storaging medium and convenient for so that computer program is allowed to be transferred to from a place telecommunication media in other places.Storaging medium can be with
It is that any general or special computer can be with the useable medium of access.For example, such computer readable media may include but
It is not limited to RAM, ROM, EEPROM, CD-ROM or other optical disc storages, disk storage or other magnetic storage devices or other
What can be used for carry or store with instruct or data structure and it is other can be by general or special computer or general or specially treated
The medium of the program code of device reading form.In addition, any connection can be properly termed computer readable medium, example
Such as, if software is to pass through a coaxial cable, fiber optic cables, double from a web-site, server or other remote resources
Twisted wire, Digital Subscriber Line (DSL) are defined with being also contained in for the wireless way for transmitting such as example infrared, wireless and microwave
In computer readable medium.The disk (disk) and disk (disc) includes compress disk, radium-shine disk, CD, DVD, floppy disk
And Blu-ray Disc, disk is usually with magnetic replicate data, and disk usually carries out optically replicated data with laser.Combinations of the above
Also it may be embodied in computer readable medium.
Above-described specific embodiment has carried out further the purpose of the present invention, technical scheme and beneficial effects
It is described in detail, it should be understood that being not intended to limit the present invention the foregoing is merely a specific embodiment of the invention
Protection scope, all within the spirits and principles of the present invention, any modification, equivalent substitution, improvement and etc. done should all include
Within protection scope of the present invention.
Claims (10)
1. a kind of bicycle method for diagnosing status, which is characterized in that the described method includes:
Obtain that vehicle under vehicle primary condition is in every kind of shape probability of state and vehicle history is ridden data；
According to the environment where vehicle, vehicle riding apart from generating probability in each state is determined；
Every kind of shape probability of state is according to vehicle under vehicle primary condition, vehicle history rides data and vehicle in each state
Ride apart from generating probability, determine that vehicle's current condition and vehicle are in current each shape probability of state.
2. a kind of bicycle method for diagnosing status as described in claim 1, which is characterized in that the vehicle-state includes: good
Good state and need service mode.
3. a kind of bicycle method for diagnosing status as described in claim 1, which is characterized in that the vehicle history is ridden data
The distance of riding used every time including vehicle.
4. a kind of bicycle method for diagnosing status as described in claim 1, which is characterized in that described according to vehicle primary condition
Lower vehicle is in every kind of shape probability of state, vehicle history is ridden data and vehicle riding apart from generating probability in each state,
Determine that vehicle's current condition and vehicle are in current each shape probability of state, comprising:
It is ridden data and vehicle riding apart from generating probability in each state according to vehicle history, determines that vehicle-state transfer is general
Rate；
It is in every kind of shape probability of state and vehicle-state transition probability according to vehicle under vehicle primary condition, determines that vehicle is worked as
Preceding state and vehicle are in current each shape probability of state.
5. a kind of bicycle method for diagnosing status as described in claim 1, which is characterized in that the method also includes:
It is in current each shape probability of state according to vehicle, by expectation and square solution method, acquisition is currently at each shape
The vehicle number of state.
6. a kind of bicycle state diagnostic apparatus, which is characterized in that described device includes:
Data capture unit, for obtaining, vehicle is in every kind of shape probability of state under vehicle primary condition and vehicle history is ridden
Data；
Probability analysis unit determines vehicle riding apart from generating probability in each state according to the environment where vehicle；
Current state determination unit is in every kind of shape probability of state according to vehicle under vehicle primary condition, vehicle history is ridden number
Accordingly and vehicle riding apart from generating probability in each state, determine that vehicle's current condition and vehicle are in current each state
Probability.
7. a kind of bicycle state diagnostic apparatus as claimed in claim 6, which is characterized in that the data capture unit packet
It includes:
Original state determining module, the probability for determining that vehicle is in shape and needing service mode.
8. a kind of bicycle state diagnostic apparatus as claimed in claim 6, which is characterized in that the data capture unit packet
It includes:
Vehicle history is ridden data acquisition module, the distance of riding used every time for obtaining vehicle.
9. a kind of bicycle state diagnostic apparatus as claimed in claim 6, which is characterized in that the current state determination unit
It is specifically used for:
It is ridden data and vehicle riding apart from generating probability in each state according to vehicle history, determines that vehicle-state transfer is general
Rate；
It is in every kind of shape probability of state and vehicle-state transition probability according to vehicle under vehicle primary condition, determines that vehicle is worked as
Preceding state and vehicle are in current each shape probability of state.
10. a kind of bicycle state diagnostic apparatus as claimed in claim 6, which is characterized in that described device further include:
Overall vehicle state judging unit passes through expectation and square solution for being in current each shape probability of state according to vehicle
Method obtains the vehicle number for being currently at each state.
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| CN201910210755.7A CN110046719A (en) | 2019-03-20 | 2019-03-20 | A kind of bicycle method for diagnosing status and device |
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