CN105488250A - Auxiliary analysis and detection method used for measurement data of automobile body dimensional deviation - Google Patents

Abstract

The invention relates to the technical field of automobile manufacture, and discloses an auxiliary analysis and detection method used for the measurement data of automobile body dimensional deviation. Through correlation analysis among automobile body parts, the diagnosis efficiency and the correctness of the automobile body dimensional deviation is improved. The auxiliary analysis and detection method has the technical scheme that the measuring point data of each automobile body part is imported through a computer, and correlation calculation on automobile body parts or measuring points with correlation in one automobile body part is carried out. The technical scheme can quickly, efficiently and simply collect part test data, timely and accurately judges the quality of an automobile body welding part according to correlation coefficient analysis, analyzes reasons for generating deformation errors, improves a processing technology in a targeted way, and improves product quality.

Description

A kind of assistant analysis of the measurement data for body dimensions deviation and detection method

Technical field:

The present invention relates to field of automobile, particularly a kind of assistant analysis of the measurement data for body dimensions deviation and detection method.

Background technology

The manufacturing issue of vehicle body is mainly derived from the dimensional discrepancy of vehicle body, and accounts for most of proportion.The dimensional discrepancy of vehicle body can bring the noise of vehicle, sealing, the reduction in life-span, outward appearance and ride comfort sense also can reduce, therefore, how more early, find more in time vehicle body dimensional discrepancy problem and utilize the regulating measures of follow-up property, be the necessary condition keeping the market competitiveness.

The reason of body dimensions deviation has a lot, one of them is exactly that the distortion of bodywork parts itself or the cause for quality of bodywork parts welding quality or bodywork parts gluing caused, and analyzes in prior art often through in manufacture process to the single-point on-line measurement of part.

Online laser measuring technique is the single-point on-line measurement mode commonly used the most at present, and it mainly adopts the technology such as laser, vision (CCD) sensor, image procossing and computing machine control to realize the new technology of object space size and position precision measurement.Laser on-line checkingi is divided into portable and fixed two kinds of forms, movable type is by laser measurement sensor and high precision machines people use in conjunction, laser measurement sensor is contained in the enterprising line programization of robot arm automatically to detect, combination can multiple size Control points in robot measurement range of operation; Fixed laser online detection instrument is made up of multiple laser vision sensor, the corresponding measured point of each sensor, number of sensors is measured requirement by concrete testing product position and is decided, all the sensors is fixedly mounted on a basic framework, and be connected to principal computer by field bus control system and video bus, form a complete checkout equipment.

Such as, there are two on-line checkingi stations in certain body workshop, is arranged in base plate 2 line repair welding station and total end of spelling 2 line repair welding stations, carries out online laser measurement to corresponding base plate 2 assembly and the total assort of body in white.Station is provided with sensor, and scanning license number just can distinguish H vehicle and F vehicle, allows robot measurement measure different positions.The time of measuring a chassis body or base plate is roughly consistent with productive temp, but always spells due to H vehicle body in white and arranged more than 150 measurement point, cannot all survey in a beat, therefore have employed the metering system of " must survey group+select survey group ".Important measuring point is arranged in must be surveyed in group, and every chassis body is all measured, and so unimportant measuring point is arranged in and selects in survey group, and a chassis body only measures the point that one of them selects survey group.The choosing survey group of the total assort of H vehicle has 4 groups, and namely every 4 chassis bodies complete one and take turns the measurement all selecting survey group point.On-line measurement data will be transferred to the client of measuring chamber computer by system control cabinet.Supplier's uncle's match provides corresponding software to carry out simple process to raw data, feeds back to technician with the simple form such as trend map, histogram.

The single-point on-line measurement of part is utilized to have the following disadvantages when solving practical problems:

One, trend map, the histogram of single-point can only be checked one by one by existing software, can not by direct for the data of multiple measuring point comparison.

Two, for problem newfound in production run, technician is difficult to the relating dot directly finding defective locations from hundreds of points.

Three, now for the data trend of still just checking single measuring point that on-line checkingi data are with the most use.For the mutual relationship between measuring point data, then do not further investigate.This is a kind of wastes greatly to abundant on-line checkingi data.

The utilization factor of four, on-line measurement data is low, by also slower for the corresponding process between the record of the knowledge of measurement data and vehicle body, model technician, adjustment.They can extend error source undoubtedly and diagnose the time expended.Technician often needs to spend plenty of time location defect, and is difficult to the question classification that finds the defect due to size to produce intuitively.

Aided analysis method and aided detection method how to set up an effective effectively judge that the reason of body dimensions defect has technical barrier to be solved at present.

Summary of the invention:

The object of this invention is to provide a kind of assistant analysis and detection method of measurement data of body dimensions deviation, can fast, the reason of accurate analysis bodywork parts dimensional discrepancy.Object of the present invention is realized by following technical scheme.

A kind of aided analysis method of the measurement data for body dimensions deviation, it is characterized in that: described method comprises one or adjacent two or three bodywork parts that are connected successively, be welding or gluing between its part of adjacent two, each part distributes some measuring points;

Measuring point data is imported computing machine, calculate the relative coefficient of two measuring points between an one part or adjacent two parts or corresponding to being separated by between two parts, do according to the relative coefficient calculated and setting value the deviating cause contrasting post analysis bodywork parts size;

Described deviating cause comprises gluing between the distortion of a part and adjacent two parts, welding.

Further, described relative coefficient be divided into successively by force from big to small, more by force, more weak and weak.

Further, the length of a described bodywork parts is at least 1 meter, divides three regions at its length direction, and distribute measuring point in each region.

Further, at adjacent two or be connected in three bodywork parts successively, its each part is 40cm along the length maximum range of closure.

Further, in the bodywork parts of adjacent three, the relative coefficient of two measuring points is weak or more weak corresponding to adjacent two or two parts of being separated by, then the welding judging between adjacent two or two parts of being separated by loosens or more loosening; The relative coefficient of two measuring points is for by force or comparatively strong corresponding to adjacent two or two parts of being separated by, then judge that welding between adjacent two or two parts of being separated by is normal or close to normal.

Further, in three regions of a described bodywork parts, the relative coefficient of two measuring points corresponding between adjacent two regions is strong, the relative coefficient of two measuring points corresponding between two adjacent regions and another region is weak, then judge that the adjacent area of its bodywork parts deforms.

Further, its relative coefficient scope divide: be set in by force the scope of more than less than 1 and 0.7, be set in more by force more than 0.5 and be less than 0.7 scope, more weak be set in more than 0.4 and be less than 0.5 scope, weak be set in more than 0 be less than 0.4 scope.

Further, described method also comprises after its relative coefficient and setting value compare and carries out exceptional value or/and the display of deviate.

Further, described bodywork parts is base plate part or always spells part.

For an aided detection method for the measurement data of body dimensions deviation, it is characterized in that: comprise the following steps:

A1: the data deriving each measuring point of bodywork parts in on-line measurement system, selects corresponding data file as requested;

A2: the measuring point data in the data file chosen is incorporated in tables of data, and rearrange by the data of part to measuring point, be integrated together by the measuring point under Same Part, the data between different part separate;

A3: the measuring point doing correlation analysis as required, and calculate relative coefficient required between two measuring points.

Further, described detection method is further comprising the steps of,

A4: described relative coefficient numerically exports, exhibit high brilliance or low-light level when being greater than or less than setting value.

Further, described detection method is further comprising the steps of,

A5: the dimensional discrepancy reason analyzing bodywork parts according to the relative coefficient of exhibit high brilliance or low-light level.

Further, also comprise vehicle corresponding to display measuring point number in described tables of data and/or detect date and/or Measuring Time and/or Part No..

Beneficial effect of the present invention, adopt the technical program can gather part testing data fast, efficiently, easily, the quality judging automobile body welding part in time and is exactly carried out according to correlation coefficient analysis, and analyze the reason producing distortion inaccuracy, processing technology pointedly, improves the quality of products.

Accompanying drawing explanation

Fig. 1 discloses vehicle body in an embodiment and always spells the measuring point A of part and the schematic diagram of measuring point B, its large deviations coordinate display figure, and and the distribution schematic diagram of the actual measuring point of vehicle body.

Fig. 2 discloses vehicle body in an embodiment and always spells the measuring point A of part and the schematic diagram of measuring point B, wherein the distribution schematic diagram of the actual measuring point of vehicle body.

Fig. 3 discloses the distribution schematic diagram that vehicle body in an embodiment always spells part (A, B, C, D) four actual measuring points.

Fig. 4 discloses the correlation analysis schematic diagram of a bodywork parts in an embodiment.

Fig. 5 discloses the correlation analysis schematic diagram of three automobile body welding parts in an embodiment.

Fig. 6 discloses the correlation analysis schematic diagram of three automobile body welding parts in an embodiment.

Fig. 7 discloses the correlation analysis schematic diagram of two automobile body welding parts in an embodiment.

Fig. 8 discloses the correlation analysis schematic diagram of three automobile body welding parts in an embodiment.

Fig. 9 discloses the schematic flow sheet in an embodiment.

Embodiment

The present invention can carry out according to the analysis of relative coefficient the quality judging automobile body welding part in time and exactly fast and efficiently.

The theory of its correlation analysis is as described below.

The mathematical principle of correlation analysis: in theory of probability and statistics, covariance is for weighing the global error of Two Variables.

And the variance known by us, a kind of special circumstances of covariance can be regarded as, the situation that namely Two Variables is identical.

Be provided with Two Variables X, Y, their mathematical expectation is E (X), E (Y) respectively.Covariance then between them is defined as:

Cov(X,Y)＝E[(X-E(X))(Y-E(Y))]＝E(XY)-E(X)E(Y)(1)

On directly perceived, the expectation of Two Variables global error that what covariance represented is.If Two Variables variation tendency is consistent, so covariance be on the occasion of, no is then negative value.

If X, Y are statistical iteration, so must there is Cov (X, Y)=0, because now E (XY)=E (X) E (Y).Cov (X, Y)=0 do not mean that X, Y statistical iteration conversely speaking, but statistically claim X, this Two Variables of Y is incoherent.

Covariance, as the amount describing X and Y degree of correlation, has certain effect under Same Physical dimension, but same two amounts adopt different dimensions to make their covariance numerically show very large difference.We introduce the concept of related coefficient for this reason:

${\mathrm{\ρ}}_{xy}=\frac{Cov(X,Y)}{\sqrt{D\left(X\right)}\sqrt{D\left(Y\right)}}---\left(2\right)$

Wherein ρ _xyfor the related coefficient D (X) of X, Y, D (Y) are respectively their variance.

Also an accepted way of doing sth (3) can be represented during calculating:

${\mathrm{\ρ}}_{xy}=\frac{\underset{i=1}{\overset{n}{\Σ}}(x_i-\stackrel{\‾}{x})(y_i-\stackrel{\‾}{y})}{\sqrt{\underset{i=1}{\overset{n}{\Σ}}{(x_i-\stackrel{\‾}{x})}^2\·\underset{i=1}{\overset{n}{\Σ}}{(y_i-\stackrel{\‾}{y})}^2}}=\frac{n\underset{i=1}{\overset{n}{\Σ}}{x}_i{y}_i-\underset{i=1}{\overset{n}{\Σ}}{x}_i\underset{i=1}{\overset{n}{\Σ}}{y}_i}{\sqrt{\underset{i=1}{\overset{n}{\Σ}}{x}_i^2-{\left(\underset{i=1}{\overset{n}{\Σ}}{x}_i\right)}^2}\·\sqrt{\underset{i=1}{\overset{n}{\Σ}}{y}_i^2-{\left(\underset{i=1}{\overset{n}{\Σ}}{y}_i\right)}^2}}---\left(3\right)$

Can prove, | ρ _xy| the necessary and sufficient condition of=1 is: there is constant a, b, make P{Y=a+bX}=1.That is work as X, when having linear functional relation between Y, related coefficient absolute value is 1, now claims X, and Y is completely relevant.And ρ _xywhen=0, X, Y are completely uncorrelated.

The assistant analysis of correlation analysis as the measurement data of bodywork parts dimensional discrepancy and the application in detection method field: related coefficient can be used for the correlativity size between expression two measuring point datas.In general, if same part or sub-unit are furnished with multiple measuring point, between the data of these measuring points, correlativity can be there is.

With reference to figure 1, for vehicle body actual measuring point A and measuring point B always spells the distribution schematic diagram of part at vehicle body, can show with the coordinate form of Fig. 1 after the data importing computing machine measured, wherein longitudinal coordinate represents measuring point and theoretical deviate, and numerical value 0 wherein represents measuring point does not have deviation, and positive number and negative represent overgauge and the minus deviation of measuring point respectively, wherein horizontal ordinate represents vehicle body label, such as first car represents 1, and second car represents 2, the like.Again every portion car is shown after the data importing computing machine of measuring point A and measuring point B in the coordinate line of Fig. 1, coordinate line is used for icon and shows the trend analysis with error intuitively, can be observed the sudden change value of some measuring point and carry out the analysis of causes of follow-up property by such display mode.But such analysis can only for the analysis of the identical measuring point of A point or B point, the dimensional discrepancy reason of vehicle body can not be analyzed by the contiguity of A point and B point.

With reference to figure 3, in general, measuring point A and measuring point B, measuring point C and measuring point A, the related coefficient between measuring point B and measuring point D is all very high, but the related coefficient between measuring point C and measuring point D is very low.But this situation not far from one another adhere to different part separately time likely occur, also can produce the random noise that can not cause too large impact on size after all when weld parts.But for being obviously subject to noise,structured interference, the measuring point of unusual fluctuations (data mean value changes suddenly or standard deviation increases suddenly) occurs, situation is just different, this is also main situation about inquiring into.If a measuring point generation deviation, so some measuring points may and correlativity grow between it, these measuring points more or less also can some deviation, this means that deviation there occurs transmission between two points.

With reference to figure 4, one piece of bodywork parts divides three regions, in order to principle of the present invention is described more clearly, adopt rectangle part in the present embodiment, but in practice, be not limited to rectangle, be divided into 3 region A divided equally in the present embodiment, region B and region C, 1 can be selected respectively on each zone, 2, 3, 4 points, first by the data importing computing machine of each measuring point, relative coefficient between the corresponding measuring point carrying out identical label again calculates, such as at 1 point of region A, relative coefficient between 1 and 1 of region C of region B calculates, as the measuring point distribution plan that Fig. 4 is under bodywork parts normal condition, can by calculating part using the relative coefficient record of the corresponding measuring point (between identical label) under normal condition and as reference value, if the related coefficient of reality equals reference value or falls in the rational scope of reference value, can think that the related coefficient under virtual condition belongs to normal condition, as the measuring point distribution plan under Tu4Shi A district and B district deformation state, such as, relative coefficient between the measuring point 1 of a-quadrant and the measuring point 1 in B region equals reference value or in the rational scope of reference value, relative coefficient between the measuring point 1 in a-quadrant measuring point 1 and C region measuring point 1 or B region and the measuring point 1 in C region is lower than the lower deviation of reference value, then can be out of shape or B region deformation by judging area A.Bodywork parts length in one embodiment can at about 1 meter, and in order to distinguish the distinctiveness of the relative coefficient between regional measuring point more significantly, the length of part can more than 1 meter.

With reference to figure 6, at three pieces of adjacent welded body part A, part B and part C select some measuring points, in the present embodiment, every block part selects 1 respectively, 2, 3, 4 points, first by the data importing computing machine of each measuring point, relative coefficient between the corresponding measuring point carrying out identical label again calculates, relative coefficient such as, between 1 and 1 of part B of part A or between 1 and 1 of part C of part A or between 1 and 1 of part C of part B, can first using the relative coefficient record under normal condition and as reference value, if related coefficient actual between part equals reference value or falls in the rational scope of reference value, can think that the related coefficient under virtual condition belongs to normal condition.

Fig. 6 is A part, B part and the C part measuring point distribution plan under normal weld state.The measuring point distribution plan of the welded condition between the part A of Fig. 7 and part B, if the relative coefficient between and is lower than the lower deviation of reference value, then can judge that certain region of the welding between part A and part B creates loosening at 1 of part A at 1 of part B.The measuring point of respective numbers and corresponding density can be set according to the weld length between part and area, thus accurately can judge the integral solder state of two adjacent soldering parts, certainly, two soldering parts of arbitrary neighborhood can judge according to this principle, such as, B part in the present embodiment and C part (not marking in figure).Fig. 8 is the virtual condition measuring point distribution plan of A part, B part and C part, 1 of such as part A is reference value with 1 relative coefficient of part B or falls in the rational scope of reference value, relative coefficient between 1 of part A and 1 of part C or part B 1 for part C 1 lower than the lower deviation of reference value, then can judge that certain region of welding between part B and part C produces and loosen.In another embodiment, also can using part C adjacent with it for part B as foundation, judge the welded condition of part A and part B, equally also can set the measuring point of fair amount and suitable Density Distribution according to the weld length between part and area, accurately can be judged the integral solder state of two adjacent soldering parts by the relative coefficient between the identical label of different part.

As a kind of preferred form of assistant analysis, also can be divided on a macro scale by force successively according to the size of relative coefficient, more by force, more weak and weak four kinds, the basis that also can divide at this specifies concrete numerical range, in one embodiment can in the bodywork parts of adjacent two or adjacent three, the relative coefficient scope of each part divides: be set in by force the scope of more than less than 1 and 0.7, be set in more by force more than 0.5 and be less than 0.7 scope, more weak be set in more than 0.4 and be less than 0.5 scope, weak be set in more than 0 and be less than 0.4 scope.

Preferred as one, three adjacent or two adjacent parts, its each part can be set between 30cm-40cm along the maximal value model of the length of orientation.

Below by four correlativitys of relative coefficient between measuring point list more can expression correlation analysis intuitively in the application of the aided analysis method of the measurement data of bodywork parts dimensional discrepancy.

Above-mentioned theory is the theoretical foundation that whole correlation analysis is diagnosed error source.

Continuing with reference to figure 9, Fig. 9 is the schematic flow sheet of correlation analysis of the present invention at the aided detection method of the measurement data of bodywork parts dimensional discrepancy.

As follows according to the detailed process of the present embodiment:

Steps A 1: the data deriving each measuring point of bodywork parts in on-line measurement system, selects corresponding data file as requested;

Steps A 2: the measuring point data in the data file chosen is incorporated in tables of data, and rearrange by the data of part to measuring point, be integrated together by the measuring point under Same Part, the data between different part separate;

Steps A 3: the measuring point doing correlation analysis as required, and calculate relative coefficient required between two measuring points.

Steps A 4: described relative coefficient numerically exports, exhibit high brilliance or low-light level when being greater than or less than setting value.

Steps A 5: the dimensional discrepancy reason analyzing bodywork parts according to the relative coefficient of exhibit high brilliance or low-light level.In the present invention, the concrete implementation step of aided detection method is as follows:

The first step, reads data module, and in on-line measurement system, first derive base plate and total data of spelling each measuring point, data layout is txt, then according to selecting corresponding data file as requested in size analysis software.

Second step, disposal data module, be incorporated in a tables of data by the measuring point data in the multiple data files chosen, and rearrange measuring point data by part, be integrated together by the measuring point under Same Part, the data between different part separate.

3rd step, sampling module, selects as required to need the measuring point doing correlation analysis, and arranges required relative coefficient.

4th step, point of interest search module, technician can be found in " in related coefficient square formation " and look at all measuring points and its related coefficient size from certain measuring point, some related coefficient can not be missed like this and be less than but the measuring point of closely set relative coefficient.

The concrete implementation example of aided detection method in the present invention:

Can for EXCEL as development platform.First the critical value k (0<k<1) of related coefficient can be set as required, then bodywork parts is selected, such as base plate, total to spell, the data of gusset plate import in Microsoft Excel, be presented in EXCEL in sheeta, A row display license number, B row display date, C row reading scan time in sheeta, from F row, show corresponding A, the base plate of B, C row corresponding data, total measuring point data of spelling successively.Such as: the measuring point of part 1 on this 3 row display backpanel of F, G, H, the measuring point of part 2 on this 4 row display backpanel of I, J, K, L ... until the measuring point display on always being spelled by base plate is complete.Then in EXCEL, the corresponding button is pressed, software can automatically calculate each measuring point relative coefficient between any two according to total sample size and be presented in sheetb, and highlighted display relative coefficient is greater than the number of setting value, such as, in sheetb, B1 to XY2 (X, Y represent any letter) shows the title from the 1st measuring point to the n-th measuring point respectively, A2 to A (n+1) also shows the title from the 1st measuring point to the n-th measuring point, zone line display relative coefficient between any two.The algorithm of relative coefficient as shown in the formula:

${\mathrm{\&rho;}}_{xy}=\frac{\underset{i=1}{\overset{n}{\&Sigma;}}(x_i-\stackrel{\&OverBar;}{x})(y_i-\stackrel{\&OverBar;}{y})}{\sqrt{\underset{i=1}{\overset{n}{\&Sigma;}}{(x_i-\stackrel{\&OverBar;}{x})}^2\&CenterDot;\underset{i=1}{\overset{n}{\&Sigma;}}{(y_i-\stackrel{\&OverBar;}{y})}^2}}=\frac{n\underset{i=1}{\overset{n}{\&Sigma;}}{x}_i{y}_i-\underset{i=1}{\overset{n}{\&Sigma;}}{x}_i\underset{i=1}{\overset{n}{\&Sigma;}}{y}_i}{\sqrt{\underset{i=1}{\overset{n}{\&Sigma;}}{x}_i^2-{\left(\underset{i=1}{\overset{n}{\&Sigma;}}{x}_i\right)}^2}\&CenterDot;\sqrt{\underset{i=1}{\overset{n}{\&Sigma;}}{y}_i^2-{\left(\underset{i=1}{\overset{n}{\&Sigma;}}{y}_i\right)}^2}}$

Wherein x, y represent 2 measuring points respectively, and n is total sample size.Because total measuring point quantity is too many, conveniently check the relation locally between some, can select the several points needing to do correlation analysis in point of interest module, its result will be presented in sheetc, the same sheetb of display format.

Present invention achieves the efficiency utilization to on-line measurement data, achieve the integration of bodywork parts (such as: always spell data, backplane data, gusset data), and can the related coefficient between measuring point and measuring point be calculated according to the demand of operating personnel and press the highlighted display of demand.This invention substantially increases accuracy rate and the speed of diagnosis defect root, adapts to the demand that in future automobile development, high-effect high-quality is produced.

Above-described embodiment is available to be familiar with person in the art to realize or to use of the present invention; those skilled in the art can be without departing from the present invention in the case of the inventive idea; various modifications or change are made to above-described embodiment; thus protection scope of the present invention not limit by above-described embodiment, and should be the maximum magnitude meeting the inventive features that claims are mentioned.

Claims (13)

1. the aided analysis method for the measurement data of body dimensions deviation, it is characterized in that: described method comprises one or adjacent two or three bodywork parts that are connected successively, be welding or gluing between its part of adjacent two, each part distributes some measuring points;

Measuring point data is imported computing machine, calculate the relative coefficient of two measuring points between an one part or adjacent two parts or corresponding to being separated by between two parts, do according to the relative coefficient calculated and setting value the deviating cause contrasting post analysis bodywork parts size;

Described deviating cause comprises gluing between the distortion of a part and adjacent two parts, welding.

2. aided analysis method according to claim 1, is characterized in that: described relative coefficient is divided into by force from big to small successively, more by force, more weak and weak.

3. aided analysis method according to claim 1, is characterized in that: the length of a described bodywork parts is at least 1 meter, divides three regions at its length direction, and distribute measuring point in each region.

4. aided analysis method according to claim 1, is characterized in that: at adjacent two or be connected in three bodywork parts successively, its each part is along the length maximum range of closure: 40cm.

5. the aided analysis method according to claim 1 or 4, it is characterized in that: in the bodywork parts of adjacent three, the relative coefficient of two measuring points is weak or more weak corresponding to adjacent two or two parts of being separated by, then the welding judging between adjacent two or two parts of being separated by loosens or more loosening; The relative coefficient of two measuring points is for by force or comparatively strong corresponding to adjacent two or two parts of being separated by, then judge that welding between adjacent two or two parts of being separated by is normal or close to normal.

6. the aided analysis method according to claim 1 or 3, it is characterized in that: in three regions of a described bodywork parts, the relative coefficient of two measuring points corresponding between adjacent two regions is strong, the relative coefficient of two measuring points corresponding between two adjacent regions and another region is weak, then judge that the adjacent area of its bodywork parts deforms.

7. aided analysis method according to claim 1 and 2, it is characterized in that: its relative coefficient scope divides: be set in by force the scope of more than less than 1 and 0.7, be set in more by force more than 0.5 and be less than 0.7 scope, more weak be set in more than 0.4 and be less than 0.5 scope, weak be set in more than 0 and be less than 0.4 scope.

8. according to the aided analysis method described in claim 1, it is characterized in that: described method also comprises after its relative coefficient and setting value compare carries out exceptional value or/and the display of deviate.

9. aided analysis method according to claim 1, is characterized in that: described bodywork parts is base plate part or always spells part.

10. for an aided detection method for the measurement data of body dimensions deviation, it is characterized in that: comprise the following steps,

A1: the data deriving each measuring point of bodywork parts in on-line measurement system, selects corresponding data file as requested;

A2: the measuring point data in the data file chosen is incorporated in tables of data, and rearrange by the data of part to measuring point, be integrated together by the measuring point under Same Part, the data between different part separate;

A3: the measuring point doing correlation analysis as required, and calculate relative coefficient required between two measuring points.

11. aided detection methods according to claim 10, is characterized in that: further comprising the steps of,

A4: described relative coefficient numerically exports, exhibit high brilliance or low-light level when being greater than or less than setting value.

12. aided detection methods according to claim 11, is characterized in that: further comprising the steps of,

A5: the dimensional discrepancy reason analyzing bodywork parts according to the relative coefficient of exhibit high brilliance or low-light level.

13., according to described aided detection method arbitrary in claim 10-12, is characterized in that, also comprise vehicle corresponding to display measuring point number and/or detect date and/or Measuring Time and/or Part No. in described tables of data.