CN110411729A - Brake block life forecast method and device - Google Patents
Brake block life forecast method and device Download PDFInfo
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- CN110411729A CN110411729A CN201910726795.7A CN201910726795A CN110411729A CN 110411729 A CN110411729 A CN 110411729A CN 201910726795 A CN201910726795 A CN 201910726795A CN 110411729 A CN110411729 A CN 110411729A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M13/00—Testing of machine parts
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M17/00—Testing of vehicles
- G01M17/007—Wheeled or endless-tracked vehicles
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N3/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N3/56—Investigating resistance to wear or abrasion
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N2203/003—Generation of the force
- G01N2203/0032—Generation of the force using mechanical means
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N2203/02—Details not specific for a particular testing method
- G01N2203/026—Specifications of the specimen
- G01N2203/0262—Shape of the specimen
- G01N2203/0278—Thin specimens
- G01N2203/0282—Two dimensional, e.g. tapes, webs, sheets, strips, disks or membranes
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N2203/02—Details not specific for a particular testing method
- G01N2203/06—Indicating or recording means; Sensing means
- G01N2203/067—Parameter measured for estimating the property
- G01N2203/0682—Spatial dimension, e.g. length, area, angle
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Abstract
The embodiment of the present invention provides a kind of brake block life forecast method and device, belongs to technical field of vehicle detection.It include: the value for obtaining the wear-thickness critical value of brake block, and obtaining the corresponding parameter preset in different acceleration sections；Wherein, comprising parameter preset and abrasion duration parameters in wear equation, different acceleration sections are according to determined by vehicle acceleration value in brake process；According to the value of the corresponding parameter preset of wear-thickness critical value and different acceleration section, wear equation is solved, obtains the value of abrasion duration parameters, and the total duration that works as brake block.Due to can automatic Prediction brake block service life, thus relatively artificial prediction, prediction result is more accurate, also reduce simultaneously brake block because use be not enough caused by replacement cost.
Description
Technical field
The present invention relates to technical field of vehicle detection more particularly to a kind of brake block life forecast method and devices.
Background technique
Brake block is the important ring in vehicle safe driving, and the driving safety of vehicle is directly affected whether safe.It stops
Vehicle piece belongs to vulnerable part, and producer can only also provide a theoretical service life when leaving the factory, but the driving of each driver
It is accustomed to and is all different with vehicle environment, so that the service life of brake block also varies with each individual.In the related art, usually by
Staff determines a need for replacement brake block according to the mileage travelled of vehicle in the shop 4s, or by driver according to brake
Weak degree to determine whether needing replacing.The above process depends primarily on the experience of people to determine, the use of brake block
Life prediction it is not accurate enough.If brake block can also actually be used, arbitrarily replacement will lead to part waste.If brake block
It cannot actually continue to be used, then be changed without to continue to use and may result in traffic accident.Therefore, now it is badly in need of a kind of brake
The prediction technique of vehicle piece service life.
Summary of the invention
To solve the above-mentioned problems, the embodiment of the present invention provides one kind and overcomes the above problem or at least be partially solved
State the brake block life forecast method and device of problem.
According to a first aspect of the embodiments of the present invention, a kind of brake block life forecast method is provided, comprising:
The wear-thickness critical value of brake block is obtained, and obtains the value of the corresponding parameter preset in different acceleration sections；
Wherein, comprising parameter preset and abrasion duration parameters in wear equation, different acceleration sections are according to vehicle in brake process
Determined by middle acceleration value；
According to the value of the corresponding parameter preset of wear-thickness critical value and different acceleration section, to wear equation into
Row solves, and obtains the value of abrasion duration parameters, and the total duration that works as brake block.
According to a second aspect of the embodiments of the present invention, a kind of brake block life forecast device is provided, comprising:
First obtains module, for obtaining the wear-thickness critical value of brake block；
Second obtains module, for obtaining the value of the corresponding parameter preset in different acceleration sections；Wherein, wear equation
In comprising parameter preset and abrasion duration parameters, different acceleration sections be according to vehicle in brake process acceleration value institute really
Fixed；
Module is solved, for taking according to wear-thickness critical value and the different acceleration corresponding parameter preset in section
Value, solves wear equation, obtains the value of abrasion duration parameters, and the total duration that works as brake block.
According to a third aspect of the embodiments of the present invention, a kind of electronic equipment is provided, comprising:
At least one processor；And
At least one processor being connect with processor communication, in which:
Memory is stored with the program instruction that can be executed by processor, and the instruction of processor caller is able to carry out first party
Brake block life forecast method provided by any possible implementation in the various possible implementations in face.
According to the fourth aspect of the invention, a kind of non-transient computer readable storage medium, non-transient computer are provided
Readable storage medium storing program for executing stores computer instruction, and computer instruction makes the various possible implementations of computer execution first aspect
In brake block life forecast method provided by any possible implementation.
Brake block life forecast method and device provided in an embodiment of the present invention is thick by the abrasion for obtaining brake block
Critical value is spent, and obtains the value of the corresponding parameter preset in different acceleration sections.According to wear-thickness critical value and difference
The value of the corresponding parameter preset in acceleration section, solves wear equation, obtains the value of abrasion duration parameters, and make
For the total duration that works of brake block.Due to can automatic Prediction brake block service life, thus relatively artificial prediction, prediction knot
Fruit is more accurate, also simultaneously reduce brake block because use be not enough caused by replacement cost.
It should be understood that above general description and following detailed description be it is exemplary and explanatory, can not
Limit the embodiment of the present invention.
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 this hair
Bright some embodiments for those of ordinary skill in the art without creative efforts, can be with root
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is a kind of flow diagram of brake block life forecast method provided in an embodiment of the present invention；
Fig. 2 is a kind of division schematic diagram in acceleration section provided in an embodiment of the present invention；
Fig. 3 is a kind of display schematic diagram of the brake block provided in an embodiment of the present invention using warning；
Fig. 4 is a kind of structural schematic diagram of brake block life forecast device provided in an embodiment of the present invention；
Fig. 5 is the block diagram of a kind of electronic equipment provided in an embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without creative efforts, shall fall within the protection scope of the present invention.
The relevant technologies there are aiming at the problem that, the embodiment of the invention provides a kind of brake block life forecast methods.
This method can be used for car-mounted terminal or mobile terminal, and the present invention is not especially limit this.For the ease of to this hair
The brake block life forecast method that bright embodiment provides is understood, now to the present embodiments relate to the material arrived abrasions
Equation is explained, specific as follows:
In above-mentioned formula, Δ V indicates the wear volume of material, and α is the abrasion constant for characterizing material property, and parameter beta
Calculating process at present still do not have unified approach.In brake block wear process, the variation of thickness δ is most obvious, other orientation
Variation can be ignored, then brake block wear rate formula are as follows:
Product in above-mentioned formula, between the changes delta δ (namely wear-thickness) and brake block area S of brake block thickness
The as wear volume Δ V of brake block.β/S is denoted as β ', is definite value since S is for each vehicle, so that β ' is suitable
Then β is scaled, the calculating process without influencing above-mentioned equation.Therefore, in conjunction with above-mentioned equation, brake block thickness is at any time
Between the equation that changes can be as follows:
Referring to Fig. 1, this method comprises: 101, obtain the wear-thickness critical value of brake block, and obtain different acceleration areas
Between corresponding parameter preset value；Wherein, parameter preset and abrasion duration parameters, different acceleration areas are included in wear equation
Between be according to determined by vehicle acceleration value in brake process；102, according to wear-thickness critical value and different acceleration
The value of the corresponding parameter preset in section, solves wear equation, obtains the value of abrasion duration parameters, and as brake
The total duration that works of piece.
Wherein, the equation changed over time in conjunction with the brake block thickness in above description, the β in equation indicate default ginseng
It counts, the t in equation indicates abrasion duration parameters.Since vehicle is in brake process, rate of depreciation may be subjected to brake block
To the contact area between the pressure of brake disc, the operating temperature of brake block and brake block and brake disc, the shadow of different factors is waited
It rings.And in different acceleration sections, the value of these actually measured factors is also all different.And just wear equation above,
The value of these factors can only be associated with the value of parameter preset.Therefore, it is corresponding pre- that different acceleration sections can first be obtained
The value of setting parameter, then the abrasion duration parameters in wear equation are solved, when working total of brake block can be obtained
Long namely brake block terminal life.
Method provided in an embodiment of the present invention by obtaining the wear-thickness critical value of brake block, and obtains different acceleration
Spend the value of the corresponding parameter preset in section.According to the corresponding parameter preset of wear-thickness critical value and different acceleration section
Value, wear equation is solved, the value of abrasion duration parameters, and the total duration that works as brake block are obtained.
Due to can automatic Prediction brake block service life, thus relatively artificial prediction, prediction result is more accurate, also reduces simultaneously
Brake block because use be not enough caused by replacement cost.
Content based on the above embodiment, as a kind of alternative embodiment, obtaining, different acceleration sections are corresponding pre-
Before the value of setting parameter, further includes: influence data according to brake of the predeterminated frequency acquisition vehicle in brake process, brake shadow
Ring the acceleration that vehicle is included at least in data；The maximum value and minimum value in all acceleration are determined, to by maximum value and most
Value interval determined by small value is divided, and different acceleration sections is obtained.
Wherein, for vehicle in brake, the acceleration of vehicle is usually negative value.Correspondingly, the value of acceleration is smaller, then illustrates
It brakes in brake process heavier.By the Tbox on vehicle, movement is started as acquisition starting point with brake, is terminated with brake as acquisition
Terminal, the brake in this brake process can be acquired according to predeterminated frequency influences data, and brake influences to include vehicle in data
Acceleration.In collecting brake process after a series of acceleration, maximum value and minimum can be determined from these acceleration
Value.The value interval determined by maximum value and minimum value is divided, different acceleration sections can be obtained, can specifically join
Examine Fig. 2.(- a ,-b) is the one of acceleration section divided in Fig. 2.
Content based on the above embodiment, as a kind of alternative embodiment, it further includes following three item number that brake, which influences data,
At least one of in, three item datas are respectively the master data of brake block, the operational process data of vehicle and driving below
The driving behavior data of member.
Wherein, the master data of brake block may include the thickness change of brake block, the temperature of brake block working environment and
The abrasion constant of humidity and brake block.The thickness change of brake block is for characterizing the degree of wear.In general, temperature and wet
Degree is higher, and brake block is more prone to wear.The abrasion constant α of brake block and the material and manufacturing process of brake block have relationship, by supplying
Answer quotient by obtaining in experiment.The original depth of brake block can disposably be acquired when vehicle replaces brake block.The thickness of brake block
Degree variation is acquired using thickness transducer.Reality, can be when braking beginning according to 1s/ when acquiring the master data of brake block
Secondary frequency collection and the variable quantity for uploading thickness in 1s, and stop acquisition after braking.
Likewise, infrared temperature sensor can be used according to 1s/ frequency collection, humidity in temperature in brake process
Humidity sensor can be used according to 1s/ frequency collection.Wherein, the specific introduction of the master data of brake block can be with reference to such as
The following table 1:
Table 1
The operational process data of vehicle may include the normal pressure of tire pressure, the coefficient of friction on road surface and vehicle body.Wherein, tire pressure
It will affect brake effect.The coefficient of friction on road surface and the normal pressure of vehicle body can be used for calculating vehicle tire in brake process
The frictional force being subject to, the frictional force are in general proportional with brake block frictional force.Tire pressure is acquired by tyre pressure sensor,
It is acquired according to 1s/ frequency when braking and starting, and stops acquisition after brake.Surface friction coefficient is used and is rubbed
Sensor acquisition is wiped, it can be according to 1s/ frequency collection when brake.Normal pressure can be acquired by pressure sensor, according to 1s/ times
Frequency brake start when be acquired, after brake stop acquisition.Wherein, specific Jie of the operational process data of vehicle
Continuing can be with reference to such as the following table 2:
Table 2
Wherein it is possible to calculate Tire Friction x corresponding to each collected surface friction coefficientf, specifically refer to
Following formula:
In above-mentioned formula, μ indicates that collected surface friction coefficient, N indicate collected vehicle body normal pressure, and n is indicated
Tire number.Tire Friction x can be acquired according to predeterminated frequency by being equivalent to as a result,f。
The driving behavior data of driver may include the speed, acceleration, accumulative mileage travelled, last time replacement brake of vehicle
Mileage travelled after piece.Wherein, speed means that the deceleration time of parking is longer fastlyer, and the abrasion that brake block is subject to also can be tighter
Weight.Acceleration is smaller, illustrates to brake in moderating process heavier, and abrasion also can be more serious accordingly.The accumulative mileage travelled of vehicle
It is to calculate remaining brake block thickness can travel how many mileage for establishing the relationship of current worn-out amount and VMT Vehicle-Miles of Travel
Important judgment basis.Data are acquired by vehicle-mounted Tbox, start movement with brake as acquisition starting point, brake terminates every time
The data acquisition of a cycle, frequency acquisition 1s/ times are completed afterwards.Wherein, the specific introduction of the driving behavior data of driver can
With reference to such as the following table 3:
Table 3
In order to make it easy to understand, subsequent embodiment is influenced in data with brake specifically comprising each collected temperature xT、
Humidity xH, tire pressure xTP, Tire Friction xf, speed xv, acceleration xaAnd the thickness change Δ δ of brake blocksBased on, to carry out
It illustrates.Content based on the above embodiment, as a kind of alternative embodiment, the embodiment of the present invention is not to the different acceleration of acquisition
The mode of the value of the corresponding parameter preset in degree section specifically limits, including but not limited to: obtaining collected brake every time
The corresponding impact factor vector of data is influenced, for any acceleration section, the acceleration that determination includes is located at any acceleration
Impact factor vector in section, and as the corresponding object effects in any acceleration section because of subvector；To any acceleration
The corresponding object effects in section determine center vector because subvector is clustered, and center vector is input to any acceleration area
Between corresponding regression model, export the value of the corresponding parameter preset in any acceleration section, any acceleration section is corresponding
Regression model is based on determined by the impact factor vector for meeting preset condition.
Specifically, collected brake every time can be influenced into the temperature x in dataT, humidity xH, tire pressure xTP, tire rubs
Wipe power xf, speed xvAnd acceleration xaDirectly as impact factor vector.For example, by taking the rate for presetting frequency is 1s as an example, it can be by 1s
Collected temperature xT, humidity xH, tire pressure xTP, Tire Friction xf, speed xvAnd acceleration xaForm the corresponding influence of 1s because
Subvector.Due to including acceleration x in the collected impact factor vector of every 1sa, can be with hence for any acceleration section
In all impact factor vectors, acceleration x that determination includesaImpact factor vector in the acceleration section, and
As the corresponding object effects in acceleration section because of subvector.
In addition, since each collected brake influences the thickness change Δ δ that data further include brake blocks, in conjunction with above-mentioned
Wear equation influences the corresponding parameter preset of data when t value is 1s so as to which collected brake every time is calculated
Value namely the corresponding parameter preset of each impact factor vector value.With the corresponding target shadow in i-th of acceleration section
For ringing because of subvector, object effects specifically refer to following public affairs because of its calculating process of the value of the corresponding parameter preset of subvector
Formula:
In above-mentioned formula,In i indicate i-th of acceleration section,Indicate object effects because subvector is corresponding
The value of parameter preset, the explanation of other parameters can refer to the content of above-described embodiment.
Be with acceleration section (- 1.9, -1.5] for, then the corresponding object effects in acceleration section because of subvector and
Object effects are because of the corresponding parameter preset of subvectorIt can refer to such as the following table 4:
Table 4
In above-mentioned table 4, βiRefer to the value of the corresponding parameter preset in i-th of acceleration section.Every a line βiInfluence because
Son constitutes object effects because of subvector.If the corresponding object effects in i-th of acceleration section are m because of the quantity of subvector
It is a, then it can findCenter vector ci.By center vector ciIt is corresponding to be updated to i-th of acceleration section
Regression model fiIn, the value β that i-th of acceleration section corresponds to parameter preset can be exportedi。
Since in collected series of temperature, humidity, tire pressure and Tire Friction, variance is all smaller, such as temperature
Degree is generally concentrated in 273.15-305K ranges, so that MinMax pantography can be used by temperature, wet to enhance its stability
In degree, tire pressure and Tire Friction data zooming to a specified minimum and maximum value (namely identical value range).Base
In above description and the content of above-described embodiment, as a kind of alternative embodiment, the embodiment of the present invention is not to acquisition acquisition every time
To brake influence the mode of the corresponding impact factor vector of data and specifically limit, including but not limited to: to each brake shadow
The every item data rung in data zooms in and out, so that every item data is in identical value range, and by each brake
It influences each data after scaling in data and forms the corresponding impact factor vector of each brake influence data.
In order to make it easy to understand, the embodiment of the present invention by taking value range is 0 to 100 as an example, influences brake every in data
The process that item data zooms in and out can refer to following formula:
By taking temperature as an example, since each brake influences in data to include temperature, so that this series of temperature can form
Vector Indicate the minimum value in this series of temperature,It indicates in this series of temperature most
Big value,Vector after indicating scaling.
Center vector is being input to any acceleration as a kind of alternative embodiment by content based on the above embodiment
The corresponding regression model in section before the value for exporting the corresponding parameter preset in any acceleration section, can also establish recurrence
Model.The embodiment of the present invention does not limit the mode for establishing regression model specifically, including but not limited to: according to each target shadow
The value for ringing shadow vector and the corresponding parameter preset of each object effects shadow vector, determines the parameter in initial model
Value will determine the initial model of parameter value as any acceleration so that the corresponding loss function value of initial model is minimum
The corresponding regression model in section.
Specifically, for i-th of acceleration section, which can pass through because of subvectorIt is indicated.And by the content of above-described embodiment it is found that each object effects are corresponding pre- because of subvector
The value of setting parameter is also that can be calculated, these object effects can also because of the value of the corresponding parameter preset of subvector
To form vectorAccording toWithIt can establish the regression model in i-th of acceleration section.
As can be seen from the above embodiments, each object effects are because subvector is by temperature xT, humidity xH, tire pressure xTP, tire rubs
Wipe power xf, speed xvAnd acceleration xaComposition, it that is to say 6 dimensions.Certainly, 6 dimensions can be not limited to during actual implementation, it can be with
For n dimension.If the corresponding object effects in i-th of acceleration section because the quantity of subvector is m, these object effects factors to
Amount can form the matrix of n*mIf becoming column vector to matrix procession conversion namely row vector,
The then matrix of available m*nWherein, each column vector is that one kind can influence i-th of acceleration area
Between corresponding parameter preset value βiA kind of impact factor, a series of value.Correspondingly, according toWithIt can establish the regression model in i-th of acceleration section.
Wherein,WithIt may not be simple linear relationship, to introduce polynomial characteristic, newly
Impact factor general formulaIt can be expressed as:
In above-mentioned formula, p indicates the pth item of new feature,WithIndicate the general term of impact factor, g and h are indicated
The degree of polynomial, the maximum value C between g and h are multinomial highest numbers.Assuming that the impact factor β after multinomial expandsiHave
Q, along with constant term has q+1 altogether, namelyAnd it can be usedIt indicates.
Due to make some difference the factor may influence very little to regression result, so that selection of embodiment of the present invention Lasso is returned
Return model, the parameter of some duplicate impact factors unnecessary is directly reduced to zero.Correspondingly, i-th of acceleration area
Between loss function πiAre as follows:
In above-mentioned formula, [θi] indicate the corresponding regression model in i-th of acceleration section parameter vector,It indicates
Impact factorThe corresponding parameter of item.
It willWithIt is substituting to loss function πi, find so that πiValue corresponding [θ when minimumi], even if also introductory die
The corresponding the smallest parameter value of loss function value of type, and then the corresponding regression model in available i-th of acceleration section.Its
In, which can be used Open-Source Tools on the market and is calculated, such as TensorFlow, scikit-learn.
λ in multinomial highest number c and loss function is two and needs parameter predetermined, is referred to as hyper parameter,
Its value can be specifically determined by the way of grid search.For this purpose, the grid of hyper parameter can be pre-established, it is as shown in table 5 below:
Table 5
It, can be also by parameter to loss function be brought into simultaneously, to find π in training patterniCorresponding parameter when minimum
It is right, as best hyper parameter pairThe parameter of corresponding modelIt also is βiBest model ginseng
Number.
It by the above process, can be by i-th of acceleration area after obtaining the corresponding regression model in i-th of acceleration section
Between corresponding center vector ciIt is substituting in regression model, namely:
Content based on the above embodiment, as a kind of alternative embodiment, wear equation is as follows:
In above-mentioned formula, Δ δcriticalFor wear-thickness critical value, n is the total quantity in different acceleration sections, βiFor
The value of the corresponding parameter preset in i-th of acceleration section, ζiIt is the corresponding object effects in i-th of acceleration section because of subvector
The total accounting between the sum of all impact factor vectors, α be characterize brake pad material characteristic abrasion constant.Pass through
Wear equation is solved, the total duration T that works of brake block can be obtainedcritical。
Content based on the above embodiment, as a kind of alternative embodiment, according to wear-thickness critical value and difference
The value of the corresponding parameter preset in acceleration section, solves wear equation, obtains the value of abrasion duration parameters, and make
After the total duration that works of brake block, further includes: according to the total duration that can work, predict brake block work residue when
It is long；Alternatively, predicting the residual time length that works of brake block, and according to the residual time length that can work, prediction according to the total duration that can work
The travelable remaining distance of brake block.
Wherein, the total duration T that works of brake block is predictedremainIt can refer to following formula:
In above-mentioned formula, tiThe cumulative and total working duration accumulated before indicating.
After obtaining the residual time length that works of brake block, due to being between the working time of brake block and the distance of traveling
Proportional relation, so that the travelable remaining distance of brake block can refer to following formula and calculate:
In above-mentioned formula, s0The distance that vehicle has travelled when being the last replacement brake block, scurrIt is that vehicle is current
The distance travelled.It should also be noted that, after the service life of brake block is predicted, it can be according to its service life
Prompt driver.For example, if the residual time length that works of brake block reaches the first preset threshold and/or can travel for brake block remains
Remaining distance reaches the second preset threshold, then can prompt primary frequency according to every traveling 100km, warning message is pushed to instrument
On disk display, to remind driver to replace brake block, the display effect of instrument board can refer to Fig. 3.
Content based on the above embodiment, the embodiment of the invention provides a kind of brake block life forecast devices, should
Brake block life forecast device is for executing the brake block life forecast method provided in above method embodiment.Ginseng
See Fig. 4, which includes:
First obtains module 401, for obtaining the wear-thickness critical value of brake block；
Second obtains module 402, for obtaining the value of the corresponding parameter preset in different acceleration sections；Wherein, it wears
In equation comprising parameter preset and abrasion duration parameters, different acceleration sections be according to vehicle in brake process acceleration value
It is identified；
Module 403 is solved, for according to the corresponding parameter preset of wear-thickness critical value and different acceleration section
Value solves wear equation, obtains the value of abrasion duration parameters, and the total duration that works as brake block.
As a kind of alternative embodiment, the device further include:
Acquisition module, for influencing data according to brake of the predeterminated frequency acquisition vehicle in brake process, brake influences
The acceleration of vehicle is included at least in data；
Division module, for determining maximum value and minimum value in all acceleration, to true by maximum value and minimum value institute
Fixed value interval is divided, and different acceleration sections is obtained.
As a kind of alternative embodiment, brake influence data further include in following three item data at least one of, below three
Item data is respectively the driving behavior data of the master data of brake block, the operational process data of vehicle and driver.
Module 402 is obtained as a kind of alternative embodiment, second, comprising:
Acquiring unit influences the corresponding impact factor vector of data for obtaining collected brake every time；
Determination unit, for for any acceleration section, the acceleration that determination includes to be located in any acceleration section
Impact factor vector, and as the corresponding object effects in any acceleration section because of subvector；
Output unit, for, because subvector clusters, determining center to the corresponding object effects in any acceleration section
Center vector is input to the corresponding regression model in any acceleration section, it is corresponding pre- to export any acceleration section by vector
The value of setting parameter, the corresponding regression model in any acceleration section are based on meeting the impact factor vector institute of preset condition really
Fixed.
As a kind of alternative embodiment, acquiring unit contracts for influencing every item data in data to each brake
It puts, so that every item data is in identical value range, and every item number after scaling in data is influenced by each brake
The corresponding impact factor vector of data is influenced according to each brake is formed.
Module 402 is obtained as a kind of alternative embodiment, second, further includes:
Training unit, for corresponding pre- according to each object effects shadow vector and each object effects shadow vector
The value of setting parameter determines the parameter value in initial model, so that the corresponding loss function value of initial model is minimum, it will be true
The initial model of parameter value is determined as the corresponding regression model in any acceleration section.
As a kind of alternative embodiment, the wear equation solved in module 403 is as follows:
In above-mentioned formula, Δ δcriticalFor wear-thickness critical value, n is the total quantity in different acceleration sections, βiFor
The value of the corresponding parameter preset in i-th of acceleration section, ζiIt is the corresponding object effects in i-th of acceleration section because of subvector
The total accounting between the sum of all impact factor vectors, α be characterize brake pad material characteristic abrasion constant.
As a kind of alternative embodiment, the device further include:
First prediction module, for predicting the residual time length that works of brake block according to the total duration that can work；Alternatively,
Second prediction module, for according to that can work total duration, predicting the residual time length that works of brake block, and according to can
Work residual time length, predicts the travelable remaining distance of brake block.
Device provided in an embodiment of the present invention by obtaining the wear-thickness critical value of brake block, and obtains different acceleration
Spend the value of the corresponding parameter preset in section.According to the corresponding parameter preset of wear-thickness critical value and different acceleration section
Value, wear equation is solved, the value of abrasion duration parameters, and the total duration that works as brake block are obtained.
Due to can automatic Prediction brake block service life, thus relatively artificial prediction, prediction result is more accurate, also reduces simultaneously
Brake block because use be not enough caused by replacement cost.
Fig. 5 illustrates the entity structure schematic diagram of a kind of electronic equipment, as shown in figure 5, the electronic equipment may include: place
Manage device (processor) 510, communication interface (Communications Interface) 520,530 He of memory (memory)
Communication bus 540, wherein processor 510, communication interface 520, memory 530 complete mutual lead to by communication bus 540
Letter.Processor 510 can call the logical order in memory 530, to execute following method: obtaining the wear-thickness of brake block
Critical value, and obtain the value of the corresponding parameter preset in different acceleration sections；Wherein, in wear equation comprising parameter preset and
Duration parameters are worn, different acceleration sections are according to determined by vehicle acceleration value in brake process；It is thick according to abrasion
The value for spending the corresponding parameter preset of critical value and different acceleration section, solves wear equation, when obtaining abrasion
The value of long parameter, and the total duration that works as brake block.
In addition, the logical order in above-mentioned memory 530 can be realized by way of SFU software functional unit and conduct
Independent product when selling or using, can store in a computer readable storage medium.Based on this understanding, originally
Substantially the part of the part that contributes to existing technology or the technical solution can be in other words for the technical solution of invention
The form of software product embodies, which is stored in a storage medium, including some instructions to
So that a computer equipment (can be personal computer, electronic equipment or the network equipment etc.) executes each reality of the present invention
Apply all or part of the steps of a method.And storage medium above-mentioned include: USB flash disk, mobile hard disk, read-only memory (ROM,
Read-Only Memory), random access memory (RAM, Random AccessMemory), magnetic or disk etc. it is various
It can store the medium of program code.
The embodiment of the present invention also provides a kind of non-transient computer readable storage medium, is stored thereon with computer program,
The computer program is implemented to carry out the various embodiments described above offer method when being executed by processor, for example, obtain brake
The wear-thickness critical value of piece, and obtain the value of the corresponding parameter preset in different acceleration sections；Wherein, it is wrapped in wear equation
Containing parameter preset and abrasion duration parameters, different acceleration sections are that acceleration value is determined in brake process according to vehicle
's；According to the value of the corresponding parameter preset of wear-thickness critical value and different acceleration section, wear equation is asked
Solution obtains the value of abrasion duration parameters, and the total duration that works as brake block.
The apparatus embodiments described above are merely exemplary, wherein unit can be as illustrated by the separation member
Or may not be and be physically separated, component shown as a unit may or may not be physical unit, i.e.,
It can be located in one place, or may be distributed over multiple network units.It can select according to the actual needs therein
Some or all of the modules achieves the purpose of the solution of this embodiment.Those of ordinary skill in the art are not paying creative labor
In the case where dynamic, it can understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
It realizes by means of software and necessary general hardware platform, naturally it is also possible to pass through hardware.Based on this understanding, on
Stating technical solution, substantially the part that contributes to existing technology can be embodied in the form of software products in other words, should
Computer software product may be stored in a computer readable storage medium, such as ROM/RAM, magnetic disk, CD, including several fingers
It enables and using so that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation
Method described in certain parts of example or embodiment.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
Present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: it still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features；
And these are modified or replaceed, technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (11)
1. a kind of brake block life forecast method characterized by comprising
The wear-thickness critical value of brake block is obtained, and obtains the value of the corresponding parameter preset in different acceleration sections；Wherein,
Comprising the parameter preset and abrasion duration parameters in wear equation, the difference acceleration section was being braked according to vehicle
In journey determined by acceleration value；
According to the value of the corresponding parameter preset of the wear-thickness critical value and different acceleration section, to the abrasion side
Cheng Jinhang is solved, and obtains the value of the abrasion duration parameters, and the total duration that works as the brake block.
2. brake block life forecast method according to claim 1, which is characterized in that described to obtain different acceleration
Before the value of the corresponding parameter preset in section, further includes:
Acquiring brake of the vehicle in brake process according to predeterminated frequency influences data, and the brake influences in data at least
Acceleration including the vehicle；
The maximum value and minimum value in all acceleration are determined, to the value area determined by the maximum value and the minimum value
Between divided, obtain different acceleration sections.
3. brake block life forecast method according to claim 2, which is characterized in that the brake influences data also
Including in following three item data at least one of, following three item datas are respectively the master data, described of the brake block
The operational process data of vehicle and the driving behavior data of driver.
4. brake block life forecast method according to claim 1, which is characterized in that described to obtain different acceleration
The value of the corresponding parameter preset in section, comprising:
Obtaining collected brake every time influences the corresponding impact factor vector of data, for any acceleration section, determines packet
The acceleration contained is located at the impact factor vector in any acceleration section, and corresponding as any acceleration section
Object effects because of subvector；
To the corresponding object effects in any acceleration section because subvector clusters, center vector is determined, in described
Heart vector is input to the corresponding regression model in any acceleration section, and it is corresponding described to export any acceleration section
The value of parameter preset, the corresponding regression model in any acceleration section be based on meet the influence of the preset condition because
Determined by subvector.
5. brake block life forecast method according to claim 4, which is characterized in that the acquisition collects every time
Brake influence the corresponding impact factor vector of data, comprising:
It influences every item data in data to each brake to zoom in and out, so that every item data is in identical value range
It is interior, and influenced from each brake each data after being scaled in data form the corresponding impact factor of each brake influence data to
Amount.
6. brake block life forecast method according to claim 4, which is characterized in that described by the center vector
It is input to the corresponding regression model in any acceleration section, exports the corresponding default ginseng in any acceleration section
Before several values, further includes:
According to the value of each object effects shadow vector and the corresponding parameter preset of each object effects shadow vector,
It determines the parameter value in initial model, so that the corresponding loss function value of the initial model is minimum, will determine parameter value
Initial model as the corresponding regression model in any acceleration section.
7. brake block life forecast method according to claim 1, which is characterized in that the following institute of wear equation
Show:
Wherein, Δ δcriticalFor the wear-thickness critical value, n is the total quantity in different acceleration sections, βiAccelerate for i-th
Spend the value of the corresponding parameter preset in section, ζiIt is the corresponding object effects in i-th of acceleration section total because of subvector
Several accountings between the sum of all impact factor vectors, α are the abrasion constant for characterizing the brake pad material characteristic.
8. brake block life forecast method according to claim 1, which is characterized in that described thick according to the abrasion
The value for spending the corresponding parameter preset of critical value and different acceleration section, solves the wear equation, obtains institute
State abrasion duration parameters value, and as the total duration that works of the brake block after, further includes:
According to the total duration that works, the residual time length that works of the brake block is predicted；Alternatively,
According to the total duration that works, the residual time length that works of the brake block is predicted, and according to the residue that works
Duration predicts the travelable remaining distance of the brake block.
9. a kind of brake block life forecast device characterized by comprising
First obtains module, for obtaining the wear-thickness critical value of brake block；
Second obtains module, for obtaining the value of the corresponding parameter preset in different acceleration sections；Wherein, it is wrapped in wear equation
Containing the parameter preset and abrasion duration parameters, the difference acceleration section be according to vehicle in brake process acceleration value
It is identified；
Module is solved, for taking according to the wear-thickness critical value and the different acceleration corresponding parameter preset in section
Value, solves the wear equation, obtains the value of the abrasion duration parameters, and working as the brake block
Total duration.
10. a kind of electronic equipment characterized by comprising
At least one processor；And
At least one processor being connect with the processor communication, in which:
The memory is stored with the program instruction that can be executed by the processor, and the processor calls described program to instruct energy
Enough execute method as described in any of the claims 1 to 8.
11. a kind of non-transient computer readable storage medium, which is characterized in that the non-transient computer readable storage medium is deposited
Computer instruction is stored up, the computer instruction makes the computer execute method as described in any of the claims 1 to 8.
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| CN110905951A (en) * | 2019-12-10 | 2020-03-24 | 深圳鼎然信息科技有限公司 | Method, device, equipment and medium for dynamically monitoring automobile brake pad abrasion in real time |
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| CN111409615A (en) * | 2020-04-13 | 2020-07-14 | 朱永凤 | New energy automobile brake safety detection system based on big data |
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| CN112750103A (en) * | 2020-12-25 | 2021-05-04 | 成都主导科技有限责任公司 | Train brake pad thickness detection method and system thereof |
| CN112750103B (en) * | 2020-12-25 | 2024-02-02 | 成都主导科技有限责任公司 | Train brake pad thickness detection method and system thereof |
| CN113781752A (en) * | 2021-08-24 | 2021-12-10 | 武汉依迅北斗时空技术股份有限公司 | Brake pad early warning method and device, electronic equipment and storage medium |
| CN113781752B (en) * | 2021-08-24 | 2023-01-31 | 武汉依迅北斗时空技术股份有限公司 | Brake pad early warning method and device, electronic equipment and storage medium |
| CN114036635A (en) * | 2021-11-05 | 2022-02-11 | 中车株洲电力机车有限公司 | Method for evaluating residual life of brake shoe of rail transit vehicle |
| CN114781134A (en) * | 2022-04-01 | 2022-07-22 | 北京航空航天大学 | Brake pad online wear prediction method based on digital twin drive |
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| CN114776742B (en) * | 2022-04-27 | 2023-06-30 | 江西五十铃汽车有限公司 | Replacement reminding method and system for automobile brake pads based on Internet of vehicles platform |
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