CN106289794B - The data processing method and device of vehicle test - Google Patents
The data processing method and device of vehicle test Download PDFInfo
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- CN106289794B CN106289794B CN201510271685.8A CN201510271685A CN106289794B CN 106289794 B CN106289794 B CN 106289794B CN 201510271685 A CN201510271685 A CN 201510271685A CN 106289794 B CN106289794 B CN 106289794B
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Abstract
A kind of data processing method and device of vehicle test, the method comprise the steps that obtaining vehicle original sampling data；The vehicle original sampling data is compared with preset data form standard respectively, when the vehicle original sampling data and preset data form standard are inconsistent, corresponding regular processing is carried out to the vehicle original sampling data.By the method and device, the test data in complete vehicle test can be handled, realize the rapidly and efficiently analysis of data.
Description
Technical field
The present invention relates to the data processing method and device that technical field of data processing more particularly to a kind of vehicle are tested.
Background technique
Vehicle test is according to testing standard, working condition of the simulating vehicle under certain working condition.By to vehicle
Carry out vehicle test, can dynamic property, ride comfort, braking, economy and stability to vehicle assess, thus sharp
It is designed in subsequent exploitation.Specifically, the content of the detection of vehicle test may include: inspection outside vehicle, Vehicle Chassis Dynamic Tests,
Automobile exhaust detection, the detection of vehicle fuel consumption, the detection of draft hitch performance detection, engine performance, wheel balance
Spend detection, the detection of deflecting roller steering locking angle, wheel alignment detection, chassis gap detect, speedometer index error detect,
Automobile braking performance detection, the detection of skid amount, light detection, the detection of loudspeaker noise level etc..
In the analysis of test data, sampled data obtained may be complicated various, thus is difficult to carry out quickly and effectively
The analysis of ground data.
Summary of the invention
The embodiment of the present invention solves the problems, such as be how to handle the test data in complete vehicle test, realize data
Rapidly and efficiently analyze.
To solve the above problems, the embodiment of the present invention provides a kind of data processing method of vehicle test, comprising:
Obtain vehicle original sampling data；
The vehicle original sampling data is compared with preset data form standard respectively, is adopted when the vehicle is original
When sample data and preset data form standard are inconsistent, corresponding regular processing is carried out to the vehicle original sampling data.
Optionally, described to be compared the vehicle original sampling data with preset data form standard respectively, work as institute
When stating vehicle original sampling data and inconsistent preset data form standard, the vehicle original sampling data is accordingly advised
Whole processing, comprising:
Whether the sampling period for detecting different parameters in the original sampling data is identical；
When the sampling period of different parameters in the original sampling data is not identical, by adopting for the original sampling data
The sample time is divided into the standard sample period, and calculates the sampled data y1 of different parameters sampled point in the original sampling data
Are as follows:
Wherein, xiFor the sampling instant of sampled point i in original sampling data, xjFor the neighbouring sample point j of the sampled point i
Sampling instant, yiTo correspond to the sampling instant x in the original sampling dataiSampled data, yjThe crude sampling number
According to the middle correspondence sampling instant xjSampled data, x be the standard sample period, the sample point data y1Corresponding sampling
Point is between the sampled point i and the sampled point j.
Optionally, described to be compared the vehicle original sampling data with preset data form standard respectively, work as institute
When stating vehicle original sampling data and inconsistent preset data form standard, the vehicle original sampling data is accordingly advised
Whole processing, comprising:
Whether the unit for judging parameter in the original sampling data is preset standard unit；
When the unit of parameter in the original sampling data is not preset standard unit, the numerical value of the parameter is multiplied
It with conversion coefficient, and is the preset standard block by the Conversion of measurement unit of parameter in the original sampling data.
Optionally, described to be compared the vehicle original sampling data with preset data form standard respectively, work as institute
When stating vehicle original sampling data and inconsistent preset data form standard, the vehicle original sampling data is accordingly advised
Whole processing includes:
Conversion of measurement unit by the oil consumption that adds up in the original sampling data is default unit；
The sampled data of the cumulative oil consumption sampled point is subtracted to the sampled data of previous sampled point, and works as the sampling
When the sampled data of point is less than the sampled data of previous sampled point, the sampled data of the sampled point is subtracted into the previous sampling
The sampled data of point and the range for adding the oil consumption, obtain the sampled data of the sampled point.
Optionally, described to be compared the vehicle original sampling data with preset data form standard respectively, work as institute
When stating vehicle original sampling data and inconsistent preset data form standard, the vehicle original sampling data is accordingly advised
Whole processing, comprising:
Whether the sampled point for detecting the original sampling data is wild point；
When judging the sampled point of the original sampling data for open country point, the corresponding sampled data of the wild point is deleted,
And calculate the corresponding sampled data of the wild point are as follows:
Wherein, xaFor the sampling instant of the wild point neighbouring sample point a, xbIt is adopted for wild point the adjacent of neighbouring sample point b
The sampling instant of sampling point b, yaTo correspond to the sampling instant x in the original sampling dataaSampled data, ybIt is described original
The sampling instant x is corresponded in sampled databSampled data, x be the standard sample period.
Optionally, described to be compared the vehicle original sampling data with preset data form standard respectively, work as institute
When stating vehicle original sampling data and inconsistent preset data form standard, the vehicle original sampling data is accordingly advised
Whole processing, comprising:
Whether the sampled point for detecting the original sampling data is noise point；
When judging the sampled point of the original sampling data for noise point, multiplies exponential smoothing by two and update the noise point
Corresponding sampled data.
Optionally, described to be compared the vehicle original sampling data with preset data form standard respectively, work as institute
When stating vehicle original sampling data and inconsistent preset data form standard, the vehicle original sampling data is accordingly advised
Whole processing, comprising:
Detect whether the parameter in the original sampling data includes instantaneous oil consumption；
When parameter does not include the instantaneous oil consumption in the original sampling data, the instantaneous oil consumption is calculated:
FC=0.1554 (0.866HC+0.429CO+0.273CO2)/D；
Wherein, FC is instantaneous oil consumption, and HC is the discharge amount of hydrocarbon, CO is nitric oxide production discharge amount, CO2It is two
The discharge amount of nitrogen oxide, D represent the density of gasoline.
Optionally, described to be compared the vehicle original sampling data with preset data form standard respectively, work as institute
When stating vehicle original sampling data and inconsistent preset data form standard, the vehicle original sampling data is accordingly advised
Whole processing, comprising:
The column name that the column name that parameter in the original sampling data arranges is arranged with preset standard parameter is compared；
When the column name of parameter arranges in the original sampling data column name and preset standard parameter column is inconsistent, by institute
State the column name that the column name that parameter arranges in original sampling data is revised as the preset standard parameter column.
Optionally, described to be compared the vehicle original sampling data with preset data form standard respectively, work as institute
When stating vehicle original sampling data and inconsistent preset data form standard, the vehicle original sampling data is accordingly advised
Whole processing, comprising:
Choose first sampling point detection range；
The detection range is divided into more parts according to the standard sample period, and calculates every a test speed line；
The goodness of fit being respectively compared between the more parts of test speed lines and standard speed line, and select the goodness of fit most
The starting point of high test speed line is as first sampling point；
Add up standard sample period of the first sampling point is determined into sampling terminating point.
Optionally, the goodness of fit being respectively compared between the more parts of test speed lines and standard speed line, and select
The starting point of the highest test speed line of the goodness of fit includes: as first sampling point
Pass through calculatingCompare coincideing between the more parts of test speed lines and standard speed line
Degree, and select the starting point of the smallest test speed line of the difference as first sampling point；
Wherein, fi (t) is the speed variation function that t changes at any time of the point by actual samples of sampled point xi, and g (t) is
The standard speed variation function that t changes at any time, x are the testing time, and i is the number of the test speed line.
In order to solve the above technical problems, the embodiment of the invention also discloses a kind of data processing dresses of vehicle test
It sets, comprising:
Acquiring unit, for obtaining vehicle original sampling data；
Comparing unit, for the vehicle original sampling data to be compared with preset data form standard respectively；
Regular unit is used for when the vehicle original sampling data and preset data form standard are inconsistent, to described
Vehicle original sampling data carries out corresponding regular processing.
Optionally, the comparing unit be used for detect different parameters in the original sampling data sampling period whether phase
Together；
The regular unit is used for when the sampling period of different parameters in the original sampling data is not identical, will be described
The sampling time of original sampling data is divided into the standard sample period, and calculates different parameters in the original sampling data and sample
The sampled data y of point1Are as follows:
Wherein, xiFor the sampling instant of sampled point i in original sampling data, xjFor the neighbouring sample point j of the sampled point i
Sampling instant, yiTo correspond to the sampling instant x in the original sampling dataiSampled data, yjThe crude sampling number
According to the middle correspondence sampling instant xjSampled data, x be the standard sample period, the sample point data y1Corresponding sampling
Point is between the sampled point i and the sampled point j.
Optionally, the comparing unit is for judging whether the unit of parameter in the original sampling data is preset mark
Quasi- unit；
The regular unit is used for when the unit of parameter in the original sampling data is not preset standard unit, will
The numerical value of the parameter is the preset mark multiplied by conversion coefficient, and by the Conversion of measurement unit of parameter in the original sampling data
Quasi- unit.
Optionally, the regular unit is used to the Conversion of measurement unit for the oil consumption that adds up in the original sampling data be default single
Position, and the sampled data of the cumulative oil consumption sampled point is subtracted to the sampled data of previous sampled point, and work as the sampled point
Sampled data be less than previous sampled point sampled data when, the sampled data of the sampled point is subtracted into the previous sampled point
Sampled data and add the oil consumption range, obtain the sampled data of the sampled point.
Optionally, the comparing unit is for detecting whether the sampled point of the original sampling data is wild point；The rule
Whole unit is used to delete the corresponding hits of the wild point when judging the sampled point of the original sampling data for open country point
According to, and calculate the corresponding sampled data of the wild point are as follows:
Wherein, xaFor the sampling instant of the wild point neighbouring sample point a, xbIt is adopted for wild point the adjacent of neighbouring sample point b
The sampling instant of sampling point b, yaTo correspond to the sampling instant x in the original sampling dataaSampled data, ybIt is described original
The sampling instant x is corresponded in sampled databSampled data, x be the standard sample period.
Optionally, the comparing unit is for detecting whether the sampled point of the original sampling data is noise point；It is described
Regular unit is used for when judging the sampled point of the original sampling data for noise point, is multiplied by two and is made an uproar described in exponential smoothing update
Sampled data corresponding to the point of articulation.
Optionally, whether the parameter that the comparing unit is used to detect in the original sampling data includes instantaneous oil consumption；
The regular unit is used to calculate the instantaneous oil when parameter does not include the instantaneous oil consumption in the original sampling data
Consumption: FC=0.1554 (0.866HC+0.429CO+0.273CO2)/D；Wherein, FC is instantaneous oil consumption, and HC is hydrocarbon
Discharge amount, CO are nitric oxide production discharge amount, CO2For the discharge amount of nitrogen dioxide, D represents the density of gasoline.
Optionally, the column name and preset standard that the comparing unit is used to arrange parameter in the original sampling data are joined
The column name of ordered series of numbers compares；The regular unit is used for when the column name of parameter column and preset mark in the original sampling data
When the column name of quasi- parameter column is inconsistent, the column name that parameter in the original sampling data arranges is revised as the preset standard and is joined
The column name of ordered series of numbers.
Optionally, the regular unit is used for:
It chooses first sampling point and detects model, and the detection range is divided into more parts according to the standard sample period, and count
Calculate every a test speed line；
The goodness of fit being respectively compared between the more parts of test speed lines and standard speed line, and select the goodness of fit most
The starting point of high test speed line is as first sampling point；
Add up standard sample period of the first sampling point is determined into sampling terminating point.
Optionally, the regular unit is also used to pass through calculatingCompare the more parts of test speeds
The goodness of fit between line and standard speed line, and the starting point of the smallest test speed line of the difference is selected to originate as sampling
Point；
Wherein, fi(t) for sampled point xiFor the speed variation function that t changes at any time of actual samples point, g (t) is mark
The quasi- speed variation function that t changes at any time, x are the testing time, and i is the number of the test speed line.
Compared with prior art, the technical solution of the embodiment of the present invention has the advantages that
When vehicle original sampling data and preset data form standard it is inconsistent when, to the vehicle original sampling data into
The corresponding regular processing of row, convenient for follow-up data processing analysis, so as to improve the efficiency of data analysis, enhancing data analysis knot
The validity of fruit.
Further, whether identical the sampling period different in original sampling data is detected.When sampling period difference, by institute
The sampling time for stating original sampling data arranges to be repartitioned according to the standard sample period, obtains the sampled point calculated,
By carrying out interpolation calculation to the sampled point in the calculative sampled point adjacent both ends initial data, the needs are obtained
The sampled data of the sampled point of calculating is handled to complete the regular unification of the sample frequency of sampled data convenient for follow-up data
Analysis can be improved the efficiency of data analysis, enhance the validity of data analysis result.
Further, by comparing the Parameter units in the original sampling data with standard unit, and multiplied by turn
Coefficient is changed, realizes the regular unification to sampled data unit, consequently facilitating follow-up data processing analysis, improves the effect of data analysis
Rate enhances the validity of data analysis result.
Further, since the specification of testing tool limits, after the data value of cumulative fuel consumption parameters reaches certain threshold value, meeting
It is range value by its threshold transition achieved, therefore when calculating instantaneous oil consumption, it is possible to before there are cumulative fuel consumption parameters
The sample magnitude of one sampling instant is greater than the sample magnitude of latter sampling instant, i.e., instantaneous oil consumption is negative value.By calculating wink
When oil consumption when, supplement the range value, the case where sampled data for the instantaneous oil consumption that can be avoided the occurrence of is negative value, avoid
There is error in data, consequently facilitating follow-up data statisticallys analyze, is quickly obtained and accurately and effectively analyzes result.
Further, when determining that the sampled data of the sampled point is put for open country, by original to the wild point adjacent both ends
Sampled point in data carries out interpolation calculation, obtains the sampled data of the wild point, so that the wild point in sampled data is eliminated,
It avoids wild point interference from error in data occur, consequently facilitating follow-up data statisticallys analyze, is quickly obtained accurately and effectively analysis knot
Fruit.
Further, when determining the sampled point of the original sampling data for noise point, multiply exponential smoothing by two and update institute
Sampled data corresponding to noise point is stated, avoids noise point interference from error in data occur and influence to test, consequently facilitating subsequent number
It analyzes according to statistics, is quickly obtained and accurately and effectively analyzes result.
Further, when not including instantaneous fuel consumption parameters in the crude sampling parameter, by the discharge gas for detecting vehicle
The density of hydrocarbon, the content of nitric oxide and nitrogen dioxide and gasoline in body calculates the instantaneous oil consumption of vehicle,
To supplement instantaneous fuel consumption parameters, conveniently to the calculation process of data in the analysis of subsequent data, to be quickly obtained
Accurately and effectively analyze result.
Further, by by the original sampling data parameter arrange column name and preset standard parameter column column name into
Row comparison, and when inconsistent, the column name that parameter in the original sampling data arranges is revised as the preset standard parameter
The column name of column, the unification realized to parameter name is regular, thus at the convenient operation in the analysis of subsequent data to data
Reason, is quickly obtained and accurately and effectively analyzes result.
Further, the detection range of first sampling point is determined, and can be by the detection range according to the standard sample period
It is divided into multistage, to accordingly obtain the more parts of test speed lines using different sampled points as first sampling point.By comparing
The goodness of fit between these test speed lines and standard speed line, available one test closest with standard speed line
Speed line so that it is determined that its starting point is the first sampling point of vehicle test, and then obtains sampling eventually according to sample duration
Stop can be quickly obtained and accurately and effectively analyze result.
Detailed description of the invention
Fig. 1 is a kind of data processing method of vehicle test of the embodiment of the present invention；
Fig. 2 is the data processing method of another vehicle test of the embodiment of the present invention；
Fig. 3 is the data processing method of another vehicle test of the embodiment of the present invention；
Fig. 4 is the data processing method of another vehicle test of the embodiment of the present invention；
Fig. 5 is the data processing method of another vehicle test of the embodiment of the present invention；
Fig. 6 is the data processing method of another vehicle test of the embodiment of the present invention；
Fig. 7 is the data processing method of another vehicle test of the embodiment of the present invention；
Fig. 8 is the data processing method of another vehicle test of the embodiment of the present invention；
Fig. 9 is the data processing method of another vehicle test of the embodiment of the present invention；
Figure 10 is a kind of structural schematic diagram of the data processing equipment of vehicle test of the embodiment of the present invention.
Specific embodiment
In the analysis of test data, sampled data obtained may be complicated various, thus is difficult to carry out quickly and effectively
The analysis of ground data.Such as in vehicle testing, presently mainly based on new European driving cycle (New European Driving
Cycle, NEDC) standard tests vehicle.Since test original sampling data is needed through numerous different data acquisitions
Equipment is acquired, and the producer of data acquisition equipment is possibly different from, so the format of acquisition data can have complexity
Diversity, therefore to data analysis work cause inconvenience, delayed the process of test analysis.
The embodiment of the invention discloses a kind of data processing methods of vehicle test, to solve above-mentioned technical problem.For
The above objects, features and advantages of the present invention is set to become apparent understandable, with reference to the accompanying drawing to specific implementation of the invention
Example is described in detail.
Referring to Fig.1, the embodiment of the present invention a kind of vehicle test data processing method, may include:
Step S101 obtains the vehicle original sampling data.
In specific implementation, vehicle test can be executed according to preset standard condition, and obtain according to the needs of test
Corresponding vehicle
Original sampling data.For example, it may be new European Driving Cycle (New European Driving Cycle,
NEDC) standard condition, U.S.'s driving cycle (United State Driving Cycle, USDC) standard condition, or Japan
Driving cycle (Japan Driving Cycle, JDC) standard condition.
The vehicle original sampling data is compared with preset data form standard, when described by step S102 respectively
When vehicle original sampling data and preset data form standard are inconsistent, the vehicle original sampling data is carried out corresponding regular
Processing.
Using above-mentioned data processing method, by the vehicle original sampling data that will acquire respectively with preset data form mark
Standard is compared, original to the vehicle to adopt when the vehicle original sampling data and preset data form standard are inconsistent
Sample data carry out corresponding regular processing, with the data requirement of the unified original sampling data, reduce in follow-up data processing
It is inconvenient.
In specific implementation, regular processing can be carried out to data using a variety of methods, to make those skilled in the art more
Understand the embodiment of the present invention well, how illustrate the present invention in embodiment below by way of specific embodiment is to data
Carry out regular processing.
The embodiment of the invention also discloses the data processing methods of another vehicle test.Relative to embodiment illustrated in fig. 1
Vehicle test data processing method, the present embodiment can be used for the rule of the sample frequency to the vehicle original sampling data
It is whole.This is because the sampling period of initial data is to be determined by data acquisition equipment, for example instantaneous oil consumption is adopted in initial data
The sample period may be exactly to determine sample frequency by fuel consumption meter.It can be seen that the sampling period of instrument is unstable, it will cause different ginsengs
Several sampling periods is different, so needing to operate it into frequency normalization.
As shown in Fig. 2, the data processing method of the vehicle test may include following steps:
Step S201 obtains vehicle original sampling data.
Whether step S202, the sampling period for detecting different parameters in the original sampling data are identical.
When the sampling period of different parameters in the original sampling data is identical, step S203 is executed；When described original
When the sampling period of different parameters is not identical in sampled data, step S204 is executed.
Step S203 is kept for the sampling period.
The sampling time of the original sampling data is divided into the standard sample period, and is inserted by middle line by step S204
Value calculates the sampled data of different parameters sampled point in the original sampling data.
In specific implementation, the standard sample period can be presets according to the required precision of Parameter analysis.
In specific implementation, the sampled data y of different parameters sampled point in the original sampling data can be calculated1Are as follows:
Wherein, xiFor the sampling instant of sampled point i in original sampling data, xjFor the neighbouring sample point j of the sampled point i
Sampling instant, yiTo correspond to the sampling instant x in the original sampling dataiSampled data, yjThe crude sampling number
According to the middle correspondence sampling instant xjSampled data, x be the standard sample period, the sample point data y1Corresponding sampling
Point is between the sampled point i and the sampled point j.
For example, the sampling period of different parameters is different in original sampling data, as the sampling period of parameter A is
The sampling period of 0.15s, parameter B are 0.1s, and the standard sample period is 0.1s, it is therefore desirable to carry out sample frequency to parameter A
It is regular.In reference axis as shown in Figure 3, x-axis is time shaft, and y-axis is data axis, wherein sampling of the parameter A after regular
Period is Time [1]=0, Time [2]=0.1, Time [3]=0.2 ....With second sampled point corresponding to Time [2]
For illustrate how to calculate the sampled data of second sampled point.Second sample is in original sampling data
Between sampled point i (0.05,0.1) and j (0.2,0.4), therefore described second can be calculated according to above-mentioned formula (1)
The sampled data of sampled point is 0.1.
To sum up, through the foregoing embodiment in data processing method, may be implemented the parameter of different sample frequencys is regular
It is handled for identical sample frequency so as to realize the comparison in identical sampling period down-sampling parameter convenient for follow-up data
Analysis can be improved the efficiency of data analysis, enhance the validity of data analysis result.
Referring to Fig. 3, the embodiment of the invention also discloses the data processing method of another vehicle test, the present embodiment is available
The unit of parameter carries out regular in the vehicle original sampling data, specifically may include following steps:
Step S301 obtains vehicle original sampling data.
Step S302 judges whether the unit of parameter in the original sampling data is preset standard unit.
When the unit of parameter in the original sampling data is preset standard unit, step S303 is executed, is otherwise held
Row step S304.
Step S303 keeps the unit of parameter in the original sampling data.
Step S304, by the numerical value of the parameter multiplied by conversion coefficient, and by the list of parameter in the original sampling data
Position is converted to the preset standard block.
For example, as shown in table 1, if the unit of speed is thousand ms/h in the original sampling data, and preset standard
Unit is meter per second, then by retrieving Conversion of measurement unit table as shown in the table, obtains thousand ms/h of conversion systems between meter per second
Number is 3.6, can be by the numerical value of sampled data in the original sampling data multiplied by the conversion coefficient, and original is adopted described
The Conversion of measurement unit of parameter is the preset standard block in sample data.It can also be corresponding from the Conversion of measurement unit table described in following table
It obtains in thousand ms/h of the unit conversion coefficients between miles per hour of speed parameter, or the unit of instantaneous oil consumption, rise/
The hour conversion coefficient between ml/hour, l/h and liter/second respectively.
Table 1
To sum up, data are handled using the above method, according to the unit of parameter in the original sampling data and in advance
If standard unit between conversion coefficient, may be implemented in the sampled data Parameter units it is regular, consequently facilitating after
Continuous Data Management Analysis, improves the efficiency of data analysis, enhances the validity of data analysis result.
Referring to Fig. 4, the embodiment of the invention also discloses a kind of data processing methods of vehicle test, can be used for throughput
The parameter that journey counts, such as cumulative oil consumption carry out unit conversion.The data processing method of vehicle test may include:
Step S401 obtains vehicle original sampling data.
Step S402, the Conversion of measurement unit by the oil consumption that adds up in the original sampling data are default unit.
Step S403, judges whether the sampled data of the cumulative oil consumption sampled point is less than the hits of previous sampled point
According to.
In practical applications, the parameter counted by range, such as cumulative oil consumption reach cumulative number in current sampled data
When the limit of value, current range value can be added to 1, and current sampled data is reset, count, will lead to so again
When carrying out the Conversion of measurement unit of parameter, in fact it could happen that the sampled data of latter sampling instant is less than the sampled data of previous sampling instant
The problem of.
When the sampled data of the cumulative oil consumption sampled point is less than or equal to the sampled data of previous sampled point, step is executed
Rapid S404, it is no to then follow the steps S405.
The sampled data of the sampled point is subtracted the sampled data of the previous sampled point and plus described by step S404
The range of oil consumption.
The sampled data of the sampled point is subtracted the sampled data of the previous sampled point by step S405.
In practical applications, it is limited by the restriction of sample devices, when sampled data reaches the accumulative limit of sample magnitude,
The sample magnitude of current sampling point will be reset, and range is added up, to avoid beyond detection range.Therefore it is calculating instantaneously
When oil consumption, it is possible to which the sample magnitude for the previous sampling instant of cumulative fuel consumption parameters occur is greater than the hits of latter sampling instant
Value, i.e., instantaneous oil consumption are negative value.Data are handled using the above method, by when calculating instantaneous oil consumption, described in supplement
The case where range value, the sampled data for the instantaneous oil consumption that can be avoided the occurrence of is negative value, error in data is avoided the occurrence of, thus
Convenient for follow-up data statistical analysis, it is quickly obtained and accurately and effectively analyzes result.
The embodiment of the invention also discloses a kind of data processing methods of vehicle test, can be used for the crude sampling number
According to the detection and processing of middle wild point.As shown in figure 5, the data processing method of the vehicle test may include:
Step S501 obtains vehicle original sampling data.
Step S502, whether the sampled point for detecting the original sampling data is wild point.
In specific implementation, can be come by detecting whether the original sampling data is messy code or whether includes 0x0
Whether the sampled point for determining the original sampling data is wild point.
When determining that the original sampling data is put for open country, step S503 is executed, it is no to then follow the steps S504.
Step S503 deletes the corresponding sampled data of the wild point, and calculates the corresponding sampled data of the wild point.
In specific implementation, the corresponding sampled data of the wild point that calculates can be by original sampling data
Data value carry out interpolation operation, can carry out calculating the sampled data y of the wild point by following formula2:
Wherein, xaFor the sampling instant of the wild point neighbouring sample point a, xbIt is adopted for wild point the adjacent of neighbouring sample point b
The sampling instant of sampling point b, yaTo correspond to the sampling instant x in the original sampling dataaSampled data, ybIt is described original
The sampling instant x is corresponded in sampled databSampled data, x be the standard sample period.
For example, in reference axis as shown in Figure 1, x-axis is time shaft, and y-axis is data axis in original sampling data, wherein
Sampling period of the parameter A after regular is Time [1]=0, Time [2]=0.1, Time [3]=0.2 ....If Time [2]
Second corresponding sampled point is wild point, and the wild point is located at sampled point i (0.05,0.1) and j in original sampling data
Between (0.2,0.4), therefore it is 0.1 that the sampled data of the wild point, which can be calculated, according to above-mentioned formula (1).
Step S504 keeps the sampled point of the original sampling data constant.
To sum up, data are handled using the above method, is by detecting the sampled point in the original sampling data
No is wild point, and when being determined as wild point, by carrying out interpolation to the wild sampled point put in adjacent both ends initial data
It calculates, obtains the sampled data of the wild point, to eliminate the wild point in sampled data, wild point interference is avoided data mistake occur
Accidentally, it consequently facilitating follow-up data statisticallys analyze, is quickly obtained and accurately and effectively analyzes result.
The embodiment of the invention also discloses the data processing methods of another vehicle test.As shown in fig. 6, the vehicle is surveyed
The data processing method of examination may include:
Step S601 obtains vehicle original sampling data.
Step S602, whether the sampled point for detecting the original sampling data is noise point.
In specific implementation, the noise point be since the response time of detection device is too long or sensitivity problem,
Some sampled points for not meeting actual conditions may be measured in measurement process, so that experiment calculation precision is affected.
It in specific implementation, can be by being carried out to the sampled data between neighbouring sample point in the original sampling data
The mode compared detects whether sampled point is noise point, that is, compares whether the difference between the sampled data of neighbouring sample point exceeds
Threshold value, the image for being reflected in parameter show as there are zigzags, or skyrocket steep drop the phenomenon that when, that is, can determine that sampled point is
Noise point.
Step S603 multiplies exponential smoothing by two and updates sampled data corresponding to the noise point.
Step S604 keeps the sampled data of sampled point constant.
To sum up, data processing is carried out by the above method, exponential smoothing can be multiplied by two and is updated corresponding to the noise point
Sampled data, avoid noise point interference there is error in data and influence to test, consequently facilitating follow-up data statistically analyze, quickly
Accurately and effectively analyzed result in ground.
The embodiment of the invention also discloses the data processing methods of another vehicle test.As shown in fig. 7, the vehicle is surveyed
The data processing method of examination may include:
Step S701 obtains vehicle original sampling data.
Step S702 detects whether the parameter in the original sampling data includes instantaneous oil consumption.
When parameter includes the instantaneous oil consumption in the original sampling data, step S703 is executed, it is no to then follow the steps
S704。
Step S703 retains the instantaneous oil consumption in the original sampling data.
Step S704 calculates the instantaneous oil consumption.
In specific implementation, the instantaneous oil can be calculated by detecting the emission of vehicle according to Carbon balance principle
Consumption:
FC=0.1554 (0.866HC+0.429CO+0.273CO2)/D； (3)
Wherein, FC is instantaneous oil consumption, and HC is the discharge amount of hydrocarbon, CO is nitric oxide production discharge amount, CO2 bis-
The discharge amount of nitrogen oxide, D represent the density of gasoline.
To sum up, it samples above-mentioned method and carries out data processing, by Carbon balance principle, by the discharge gas for detecting vehicle
The density of middle hydrocarbon, the content of nitric oxide and nitrogen dioxide and gasoline can calculate the oil of instantaneous oil consumption
Consumption, thus the instantaneous fuel consumption parameters lacked in original sampling data described in completion, the convenient logarithm in the analysis of subsequent data
According to calculation process, accurately and effectively analyze result to be quickly obtained.
The embodiment of the invention also discloses the data processing methods of another vehicle test.As shown in figure 8, the vehicle is surveyed
The data processing method of examination may include:
Step S801 obtains vehicle original sampling data.
Step S802, the column name for judging that the column name that parameter arranges in the original sampling data is arranged with preset standard parameter are
It is no consistent.
When the column name that parameter arranges in the original sampling data is consistent with the column name that preset standard parameter arranges, step is executed
Rapid S803, it is no to then follow the steps S804.
Step S803 retains the column name that parameter arranges in the original sampling data.
The column name that parameter in the original sampling data arranges is revised as the preset standard parameter column by step S804
Column name.
To sum up, it samples above-mentioned method and carries out data processing, the column name that parameter in the original sampling data can be arranged
It carries out unified regular, so that the column name for arranging it with preset standard parameter is consistent, facilitates and subsequent sampled data is divided
Analysis.
The embodiment of the invention also discloses the data processing methods of another vehicle test.As shown in figure 9, the vehicle is surveyed
The data processing method of examination may include:
Step S901 obtains vehicle original sampling data.
Step S902 chooses first sampling point detection range.
The detection range of the first sampling point is the possible range of first sampling point when carrying out vehicle test.For example,
In specific implementation, the vehicle that is carried out based on NEDC testing standard is tested, by current existing test data analysis and
The test observation at scene, it is possible to determine that the front and back error at detection device record start moment and driver NEDC test start time
All within 2s, meanwhile, and since NEDC standard condition provides that test vehicle starts the dead time that must have 11s, just
The search range of first sampling point can be scheduled on 13s to preceding 9s in test speed data before first measurement point being not zero this
Within a section.
The detection range is divided into more parts according to the standard sample period by step S903, and calculates every a instruction carriage
Fast line.
For example, the 13s with first sampling point detection range in test speed data before first measurement point being not zero
For within to this section preceding 9s, if the sampling period be 0.1s, first sampling point possible so just first speed not
130 points are between preceding 90 points before the measurement point for being zero, that is to say, that have 40 different test speed lines.According to this
40 different test speed lines, available 40 corresponding speed function fi(t), i=40.
Step S904, the goodness of fit being respectively compared between the more parts of test speed lines and standard speed line, and select institute
The starting point of the highest test speed line of the goodness of fit is stated as first sampling point.
In specific implementation, it can be calculated using following formula, the more parts of test speed lines and standard vehicle
The goodness of fit between fast line, and select the starting point of the smallest test speed line of the difference as first sampling point:
Wherein, fiIt (t) is the speed variation function that t changes at any time of the point by actual samples of sampled point xi,g(t)For mark
The quasi- speed variation function that t changes at any time, x are the testing time, and i is the number of the test speed line.
By taking i=40 as an example, it is only necessary to find out 40 groups of above-mentioned integrals, and therefrom find out the corresponding f of the smallest integrated valuei
(t), fi(t) first sampled point corresponding to is the starting point of the sampling.
Add up standard sample period of the first sampling point is determined sampling terminating point by step S905.
By taking the test of NEDC vehicle as an example, in specific implementation, since NEDC standard provides entire test duration 1180s, because
This works as through the step S904, after the first sampling point is calculated, then the 11800th measurement after sampling enlightenment point
Point is the sampling terminating point of vehicle test.
In actual test, due to it is difficult to ensure that equipment sampling beginning and end at the time of be exactly driver carry out it is whole
The starting and end time of vehicle test, so needing to judge the starting point and ending point of data record.It samples above-mentioned
Method carries out data processing, can be by determining the detection range of first sampling point, and is divided into a plurality of examination according to the sampling period
It validates the car fast line, and judges the goodness of fit between test speed line and standard speed line, can determine first sampling point, and then determine
The terminating point of sampling can be quickly obtained and accurately and effectively analyze result.
It is understood that in specific implementation, according to the actual situation, can be obtained to the sampling in above-described embodiment
Various sampled datas carry out regular processing, therefore, can be to the data that sampling obtains using the method in said one embodiment
Sampled data is handled, respective handling can also be carried out to data using the method in above-mentioned multiple embodiments, according to need
It wants, regular processing can also be carried out to sampled data using other regular methods, in order to carry out fast and effeciently vehicle survey
Examination and Data Analysis Services.
The embodiment of the invention also discloses a kind of data processing equipments of vehicle test.As shown in Figure 10, the vehicle is surveyed
The data processing equipment of examination may include:
Acquiring unit 1001, for obtaining vehicle original sampling data；
Comparing unit 1002, for comparing the vehicle original sampling data with preset data form standard respectively
Compared with；
Regular unit 1003 is used for when the vehicle original sampling data and preset data form standard are inconsistent, right
The vehicle original sampling data carries out corresponding regular processing.
In specific implementation, the comparing unit 1002 can be used for detecting adopting for different parameters in the original sampling data
Whether the sample period is identical；
The regular unit 1003 is used for when the sampling period of different parameters in the original sampling data is not identical, will
The sampling time of the original sampling data is divided into the standard sample period, and calculates different parameters in the original sampling data
The sampled data y of sampled point1Are as follows:
Wherein, xi is the sampling instant of sampled point i in original sampling data, xjFor the neighbouring sample point j of the sampled point i
Sampling instant, yiTo correspond to the sampling instant x in the original sampling dataiSampled data, yjThe crude sampling number
According to the middle correspondence sampling instant xjSampled data, x be the standard sample period, the sample point data y1Corresponding sampling
Point is between the sampled point i and the sampled point j.
In specific implementation, the comparing unit 1002 can be used for judging that the unit of parameter in the original sampling data is
No is preset standard unit；
The regular unit 1003 is used to when the unit of parameter in the original sampling data not be preset standard unit
When, it by the numerical value of the parameter multiplied by conversion coefficient, and is described pre- by the Conversion of measurement unit of parameter in the original sampling data
If standard block.
In specific implementation, the regular unit 1003 can be used for the unit for the oil consumption that adds up in the original sampling data
Default unit is converted to, and the sampled data of the cumulative oil consumption sampled point is subtracted to the sampled data of previous sampled point, and
When the sampled data of the sampled point is less than the sampled data of previous sampled point, the sampled data of the sampled point is subtracted into institute
It states the sampled data of previous sampled point and adds the range of the oil consumption, obtain the sampled data of the sampled point.
In specific implementation, the comparing unit 1002 can be used for detecting the original sampling data sampled point whether be
Wild point.The regular unit 1003 can be used for deleting the open country when judging the sampled point of the original sampling data for open country point
The corresponding sampled data of point, and calculate the corresponding sampled data of the wild point are as follows:
Wherein, xaFor the sampling instant of the wild point neighbouring sample point a, xbIt is adopted for wild point the adjacent of neighbouring sample point b
The sampling instant of sampling point b, yaTo correspond to the sampling instant x in the original sampling dataaSampled data, ybIt is described original
The sampling instant x is corresponded in sampled databSampled data, x be the standard sample period.
In specific implementation, the comparing unit 1002 is for detecting whether the sampled point of the original sampling data is to make an uproar
The point of articulation；The regular unit 1003 is used for when judging the sampled point of the original sampling data for noise point, is multiplied by two flat
Sliding method updates sampled data corresponding to the noise point.
In specific implementation, whether the comparing unit 1002 can be used for detecting the parameter in the original sampling data
Include instantaneous oil consumption；
The regular unit 1003 can be used for when parameter does not include the instantaneous oil consumption in the original sampling data,
Calculate the instantaneous oil consumption:
FC=0.1554 (0.866HC+0.429CO+0.273CO2)/D；
Wherein, FC is instantaneous oil consumption, and HC is the discharge amount of hydrocarbon, CO is nitric oxide production discharge amount, CO2 bis-
The discharge amount of nitrogen oxide, D represent the density of gasoline.
In specific implementation, the comparing unit 1002 can be used for by the original sampling data parameter arrange column name with
The column name of preset standard parameter column compares；
The regular unit 1003 can be used for joining when the column name and preset standard of parameter column in the original sampling data
When the column name of ordered series of numbers is inconsistent, the column name that parameter in the original sampling data arranges is revised as the preset standard parameter and is arranged
Column name.
In specific implementation, the regular unit 1003 can be used for: choosing first sampling point and detects model, and by the detection
Range is divided into more parts according to the standard sample period, and calculates every a test speed line；It is respectively compared the more parts of instruction carriages
The goodness of fit between fast line and standard speed line, and select the starting point of the highest test speed line of the goodness of fit as sampling
Starting point；Add up standard sample period of the first sampling point is determined into sampling terminating point.
In above-mentioned specific implementation, the regular unit 1003 can be also used for be counted using following formula
It calculates, the goodness of fit between the more parts of test speed lines and standard speed line, and selects the smallest instruction carriage of the difference
The starting point of fast line is as first sampling point:
Wherein, fi(t) for sampled point xiFor the speed variation function that t changes at any time of actual samples point, g (t) is mark
The quasi- speed variation function that t changes at any time, x are the testing time, and i is the number of the test speed line.
Those of ordinary skill in the art will appreciate that all or part of the steps in the various methods of above-described embodiment is can
It is completed with instructing relevant hardware by program, which can store in computer readable storage medium, and storage is situated between
Matter may include: ROM, RAM, disk or CD etc..
Although present disclosure is as above, present invention is not limited to this.Anyone skilled in the art are not departing from this
It in the spirit and scope of invention, can make various changes or modifications, therefore protection scope of the present invention should be with claim institute
Subject to the range of restriction.
Claims (4)
1. a kind of data processing method of vehicle test characterized by comprising
Obtain vehicle original sampling data；
The vehicle original sampling data is compared with preset data form standard respectively, when the vehicle crude sampling number
According to it is inconsistent with preset data form standard when, corresponding regular processing is carried out to the vehicle original sampling data；
It is described to be compared the vehicle original sampling data with preset data form standard respectively, it is adopted when the vehicle is original
When sample data and preset data form standard are inconsistent, carrying out corresponding regular processing to the vehicle original sampling data includes:
Conversion of measurement unit by the oil consumption that adds up in the original sampling data is default unit；
The sampled data of cumulative oil consumption sampled point is subtracted to the sampled data of previous cumulative oil consumption sampled point, and when described cumulative
When the sampled data of oil consumption sampled point is less than the sampled data of previous cumulative oil consumption sampled point, by the cumulative oil consumption sampled point
Sampled data subtracts the sampled data of the previous cumulative oil consumption sampled point and plus the range of cumulative oil consumption, obtains described cumulative
The sampled data of oil consumption sampled point；Alternatively,
It is described to be compared the vehicle original sampling data with preset data form standard respectively, it is adopted when the vehicle is original
When sample data and preset data form standard are inconsistent, corresponding regular processing is carried out to the vehicle original sampling data, comprising:
Choose first sampling point detection range；
The detection range is divided into more parts according to the standard sample period, and calculates every a test speed line；It is respectively compared
The goodness of fit between the more parts of test speed lines and standard speed line, and select the highest test speed line of the goodness of fit
Starting point is as first sampling point；
Add up standard sample period of the first sampling point is determined into sampling terminating point.
2. the data processing method of vehicle test as described in claim 1, which is characterized in that described to be respectively compared described more parts
The goodness of fit between test speed line and standard speed line, and the starting point of the highest test speed line of the goodness of fit is selected to make
Include: for first sampling point
Pass through calculatingCompare the goodness of fit between the more parts of test speed lines and standard speed line, and
Described in selection calculatesIn more parts of obtained calculated results, the smallest test speed line of calculated result is risen
Initial point is as first sampling point；
Wherein, fi(t) for sampled point xiFor the speed variation function that t changes at any time of actual samples point, g (t) is standard vehicle
The speed variation function that t changes at any time, x are the testing time, and i is the number of the test speed line.
3. a kind of data processing equipment of vehicle test characterized by comprising
Acquiring unit, for obtaining vehicle original sampling data；
Comparing unit, for the vehicle original sampling data to be compared with preset data form standard respectively；
Regular unit is used for when the vehicle original sampling data and preset data form standard are inconsistent, to the vehicle
Original sampling data carries out corresponding regular processing；
Wherein:
The regular unit is used to the Conversion of measurement unit for the oil consumption that adds up in the original sampling data be default unit, and will add up
The sampled data of oil consumption sampled point subtracts the sampled data of previous cumulative oil consumption sampled point, and works as the cumulative oil consumption sampled point
Sampled data be less than previous cumulative oil consumption sampled point sampled data when, the sampled data of the cumulative oil consumption sampled point is subtracted
It goes the sampled data of the previous cumulative oil consumption sampled point and adds the range of cumulative oil consumption, obtain the cumulative oil consumption sampled point
Sampled data；
Alternatively,
The regular unit is used for:
It chooses first sampling point and detects model, and the detection range is divided into more parts according to the standard sample period, and calculate every
A test speed line；
The goodness of fit being respectively compared between the more parts of test speed lines and standard speed line, and select the goodness of fit highest
The starting point of test speed line is as first sampling point；
Add up standard sample period of the first sampling point is determined into sampling terminating point.
4. the data processing equipment of vehicle test as claimed in claim 3, which is characterized in that the regular unit is also used to lead to
Cross calculatingCompare the goodness of fit between the more parts of test speed lines and standard speed line, and selects to count
Described in calculationIt obtains in more parts of calculated results, the starting point conduct of the smallest test speed line of calculated result
First sampling point；Wherein, fi(t) for sampled point xiFor the speed variation function that t changes at any time of actual samples point, g (t)
For the standard speed variation function that t changes at any time, x is the testing time, and i is the number of the test speed line.
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