CN106447765A - Product data processing apparatus and method - Google Patents

Product data processing apparatus and method Download PDF

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Publication number
CN106447765A
CN106447765A CN201610848632.2A CN201610848632A CN106447765A CN 106447765 A CN106447765 A CN 106447765A CN 201610848632 A CN201610848632 A CN 201610848632A CN 106447765 A CN106447765 A CN 106447765A
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product
detection data
detection
parameter
model
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刘飞
翁九星
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Ningbo Sunny Intelligent Technology Co Ltd
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Ningbo Sunny Intelligent Technology Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations

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Abstract

The invention discloses a product data processing apparatus and method wherein the method comprises the following steps: dividing a product model into regions to obtain a plurality of region units; and based on the region-divided model, displaying the detection data of the product wherein in the display of the detection data, based on the positions of the product corresponding to the detection data, the region units of the model corresponding to the positions are determined and the detection data is displayed at the determined region units. According to the invention, a product model is divided into several regions where the detection data of the product is displayed. With the apparatus and method, it is possible to precisely position each parameter of the product in the model and to display them directly. This is of great help to rapidly analyze and gather information so as to provide basis for the follow-up manufacturing and processing.

Description

The processing meanss of product data and method
Technical field
The present invention relates to a kind of processing meanss of product data and method.
Background technology
After production manufactures, in detection test stage, the indices to product are needed to carry out detection inspection, thus Show whether product is qualified.At present, mainly the testing result of product is showed by the form of word or form.But, this Plant method for expressing very intuitively it is difficult to carry out statistics and analysis it is impossible to provide help for subsequent production well.
In the application for a patent for invention of Publication No. CN 104517011 A, disclose " the product based on 3D digital model Product component faults method for visualizing ".The scheme of this patent application publication is the development analysis probability of malfunction in product, and Represented in model.
But, the scheme of above-mentioned patent application is to design for the prediction of development product bug, so the program It is merely able to assess the probability of fault, and the position of fault appearance cannot be accurately positioned.Manufacture for product and detection-phase, need It is accurately positioned the corresponding position on product of product parameters, so that the quality of analysis product.Therefore, above-mentioned patent Shen Please be applied in the product manufacturing stage.
For the problems referred to above, effective solution is not yet proposed at present.
Content of the invention
For the problem in correlation technique, the present invention proposes a kind of processing method of product data, can be based on model pair The product data of test phase are intuitively shown, product data are accurately represented by a model.
According to an aspect of the invention, it is provided a kind of processing method of product data.
The processing method of the product data according to the present invention includes：
Region division is carried out to the model of product, obtains multiple unit areas；
Based on the model after region division, show the detection data of product, wherein, when showing detection data, according to inspection Survey the corresponding position on product of data, determine unit area corresponding with this position in model, and in the cellular zone determining Detection data is shown at domain.
In one embodiment, the processing method of the product data according to the present invention may further include：In display inspection Before surveying data, the detection information that product is detected is preserved to data base；Wherein, preserve detection information include following At least one：Detection mark, detection type, the quantity of detection, the type identification of product, detection content, detection Picture identification；And, when showing detection data, the detection information preserving is extracted, obtain in mould in data base The detection data being shown in type.
Additionally, above-mentioned detection data is obtained by carrying out multinomial detection to product；
When showing detection data, the result being detected according to each and each detection are between the execution position on product Corresponding relation between unit area in the execution position of each detection and model on corresponding relation and product, in model Corresponding testing result is shown in unit area.
Additionally, the above-mentioned step that model is divided can include：
The surface of model is divided into multiple flat unit regions；And/or
The interior zone of model is divided into multiple stereo-unit regions.
Above-mentioned detection data include by detect product surface region obtained by Surface testing data and/or pass through Inside detection data obtained by the interior zone of detection product；And, when showing detection data, for Surface testing number According to, determine in model with the flat unit region corresponding to surface region, and determine flat unit region at display surface Detection data；For internal detection data, determine in model with the stereo-unit region corresponding to interior zone, and determine Internal detection data is shown at stereo-unit region.
Further, in display surface detection data and internal detection data, table is carried out by word and/or figure Show.
On the one hand, Surface testing parameter includes：First parameter and the second parameter；Wherein, display surface in the following manner Detection data：By being labeled in the parameter value of the first parameter at flat unit region, to show the first parameter；By in plane Show figure and/or word at unit area, to show the second parameter.
Preferably, the first parameter includes at least one of：Surface texture size, hardness；Second parameter include with down to One of few：Surface roughness, surface are dirty.
Moreover, at flat unit region during display surface roughness, by spheroid or circular expression burr and hole Low-lying area, by spheroid or oval expression surface scratch；By showing that at flat unit region annulus represents that surface is dirty, its In, burr, hollow, the dirty quantity of cut and surface are represented by the quantity of figure, by the size Expressing burr of figure, hole The dirty size of hollow, cut and surface.
Further, when showing that annulus represents that surface is dirty, flat unit is represented by the colour darkness of annulus The significance level of product surface corresponding to region.
On the other hand, above-mentioned internal detection data includes：Inner structure size and/or internal trachoma parameter；Wherein, pass through The internal detection data of in the following manner display：By being labeled in the parameter value of inner structure size at stereo-unit region, to show Show inner structure size；By showing spheroid at stereo-unit region, to show internal trachoma parameter, wherein, the number of spheroid Amount represents the quantity of internal trachoma, the size of the internal trachoma of size Expressing of spheroid.
Alternatively, when showing that spheroid to represent internal trachoma parameter, represent three-dimensional single by the shade of spheroid The significance level in first region.
Additionally, in an embodiment of the present invention, above-mentioned detection data may further include：The specified location ginseng of product The qualification rate of number and/or disqualification rate；Showing qualification rate and/or during disqualification rate, by model with specified location pair The color at position answered brings this qualification rate of expression and/or disqualification rate.
Wherein, when representing disqualification rate, represent the pass stroke of specified location parameter by the shade of color belt Degree, by the size of the width means disqualification rate of color belt.
Specifically, when representing qualification rate, represent the detection parameter in detection data by the different weights of color belt Deviation between value and reference parameter value, the color belt width means parameter values for detection of every kind of weight is in identical deviation range Interior product quantity.
Additionally, beyond above-mentioned color belt may be located at the outer surface of model and with the outer surface of model spaced a predetermined distance, Or, color belt is attached at the outer surface of model.
Additionally, in the case that product is assembled by multiple single product, disqualification rate is that the product after assembling is carried out detecting Arrive, and, treatment in accordance with the present invention method further includes：According to disqualification rate and all lists of being assembled into each product The parameter of product, is adjusted to the matching method of single product.
Additionally, treatment in accordance with the present invention method may further include：
According to the detection data of display, the processing technology and/or design parameter of product is adjusted.
Additionally, treatment in accordance with the present invention method may further include：Product relevant position is shown at unit area The material at place and/or price.
Additionally, treatment in accordance with the present invention method may further include：
Assembled by multiple single product in product, and in the case of partly single product therein are selected, display is selected The model of single product simultaneously shows the detection data of this single product based on the model of this single product；
And, when showing the detection data of product, show the parameter connecting between single product at cooperation position further.
Additionally, treatment in accordance with the present invention method may further include：
When showing the detection data of product, according to the selection of user, show selected detection data.
According to a further aspect in the invention, there is provided a kind of processing meanss of product data are it is characterised in that include：
Model partition module, for carrying out region division to the model of product, obtains multiple unit areas；
Display control module, for based on the model after region division, showing the detection data of product, wherein, in display During detection data, according to the corresponding position on product of detection data, determine unit area corresponding with this position in model, And show detection data at the unit area determining.
Wherein, this device may further include：Data processing module, for display detection data before, will be to product The detection information that product are detected preserves to data base；Wherein, preserve detection information to include：Detection mark, detection class Type, the quantity of detection, the type identification of product, detection content, the picture identification of detection；
And, when showing detection data, data processing module is used for the detection information preserving in data base is carried Take, obtain the detection data for being shown in a model.
Additionally, above-mentioned detection data is obtained by carrying out multinomial detection to product；
When showing detection data, display control module is used for being detected in product with each according to the result that each detects Execution position between corresponding relation and product on right between unit area in the execution position of each detection and model Should be related to, the unit area of model shows corresponding testing result.
Additionally, the mode that above-mentioned model partition module is divided to model includes：
The surface of model is divided into multiple flat unit regions；And/or
The interior zone of model is divided into multiple stereo-unit regions.
Specifically, above-mentioned detection data include by detect product surface region obtained by Surface testing data and/ Or by the inside detection data obtained by the interior zone of detection product；
And, show detection data when, for Surface testing data, display control module determine in model with surface district Flat unit region corresponding to domain, and display surface detection data at the flat unit region determining；For internal detection Data, display control module determine in model with the stereo-unit region corresponding to interior zone, and determine stereo-unit Internal detection data is shown at region.
Alternatively, in display control module display surface detection data and internal detection data, by word and/or figure Shape is indicated.
On the one hand, Surface testing parameter includes：First parameter and the second parameter；
Wherein, display control module display surface detection data in the following manner：
By being labeled in the parameter value of the first parameter at flat unit region, to show the first parameter；
By showing figure and/or word at flat unit region, to show the second parameter.
Alternatively, the first parameter includes at least one of：Surface texture size, hardness；Second parameter include with down to One of few：Surface roughness, surface are dirty.
Alternatively, at flat unit region during display surface roughness, display control module passes through spheroid or circular table Show burr and hollow, by spheroid or oval expression surface scratch；Display control module is also by flat unit region Place's display annulus represents that surface is dirty, wherein, represents burr, hollow, the dirty quantity of cut and surface by the quantity of figure, By the size Expressing burr of figure, hollow, the dirty size of cut and surface.
Alternatively, when showing that annulus represents that surface is dirty, display control module is by the colour darkness of annulus come table Show the significance level of product surface corresponding to flat unit region.
On the other hand, above-mentioned internal detection data includes：Inner structure size and/or internal trachoma parameter；
Wherein, display control module shows internal detection data in the following manner：By by the ginseng of inner structure size Numerical value is labeled at stereo-unit region, to show inner structure size；By showing spheroid at stereo-unit region, to show Show internal trachoma parameter, wherein, the quantity of spheroid represents the quantity of internal trachoma, the chi of the internal trachoma of size Expressing of spheroid Very little.
Specifically, when showing that spheroid to represent internal trachoma parameter, the shade by spheroid for the display control module To represent the significance level in stereo-unit region.
Additionally, above-mentioned detection data further includes：The qualification rate of specified location parameter of product and/or unqualified Rate；When showing qualification rate and/or disqualification rate, display control module passes through at position corresponding with specified location on model Color bring expression this qualification rate and/or disqualification rate.
Further, when representing disqualification rate, display control module represents specific bit by the shade of color belt Put the criticality of place's parameter, by the size of the width means disqualification rate of color belt.
Another reverse side, when representing qualification rate, display control module represents detection number by the different weights of color belt According in parameter values for detection and reference parameter value between deviation, at the color belt width means parameter values for detection of every kind of weight Product quantity in identical deviation range.
Alternatively, beyond above-mentioned color belt is located at the outer surface of model and with the outer surface of model spaced a predetermined distance, or Person, color belt is attached at the outer surface of model.
Additionally, in the case that product is assembled by multiple single product, disqualification rate is that the product after assembling is carried out detecting Arrive, and, treatment in accordance with the present invention device may further include：
Assembling optimization module, for the parameter according to disqualification rate and all single product being assembled into each product, to list The matching method of product is optimized adjustment.
Additionally, treatment in accordance with the present invention device may further include：
Process parameter optimizing module, for detection data, the processing technology to product and/or design parameter according to display It is adjusted.
Additionally, display control module is additionally operable to show material and/or the price of product corresponding position at unit area.
Additionally, product is assembled by multiple single product, in the case of partly single product wherein are selected, display control mould Block is shown the model of selected single product and is shown the detection data of this single product based on the model of this single product；And, produce in display During the detection data of product, display control module shows the parameter connecting between single product at cooperation position further.
Additionally, when showing the detection data of product, display control module is additionally operable to the selection according to user, display is selected The detection data selected.
The present invention is capable of following technique effect：
(1) by dividing to the model of product, and show the detection data of product wherein, being capable of essence in a model Really each parameter of positioning product, and intuitively shown, thus contributing to rapidly being analyzed and counting, it is subsequent production Processing provides foundation；
(2) entered by the corresponding units region in a model by the testing result obtained by each detection that product is executed Row shows respectively, can show more, more complicated data in a model without any confusion, and not result in and obscure, help In checking and analyze；
(3) by the surface of model and inner space are respectively divided into plane domain and solid region, can be orderly Ground shows different detection datas in a model, thus making model more comprehensive, reasonable for the displaying of product data, for example, leads to Cross display surface detection data in flat unit region, and show internal detection data in stereo-unit region, permissible Allow operator easily differentiate each item data correspondence position in the product, be not susceptible to misidentification；
(4) by flat unit region and stereo-unit region with figure and word by way of show product surface Roughness, hardness, size, dirty, trachoma etc., can by the various parameters that machinofacture generally involves carry out comprehensively, Clearly show, it is to avoid when showing quantity of parameters, the problems such as block and easily obscure occurs；Moreover, the present invention's In one embodiment, by using the size and dimension showing various defects and defect by figure of different shapes, energy Enough quality more intuitively showing product, contribute to quickly being analyzed and judging, are favorably improved operator Work efficiency；
(5) to show the parameter disqualification rate of some positions of product by way of with color belt, and by shade Represent parameter importance and disqualification rate size is represented by color bandwidth, can be in a very intuitive way by again The disqualification rate information alert wanted to operator, and can allow operator intuitively learn the underproof position of parameter, The size of disqualification rate and significance level；
(6) by bringing, with color, the qualification rate showing some positions of product, and it is inclined to represent parameter by shade Difference scope and by the width means product parameters of every kind of weight color belt each deviation range distribution, Neng Gouzhi See ground show product parameters error distribution, for following process and product quality control provide guide and help moreover it is possible to Enough appearance for predicting substandard product provide reference；
(7) by completed knocked down products are carried out with the displaying of disqualification rate, product component qualification rate and per unit area yield can quickly be drawn The corresponding relation of product qualification rate, is optimized to the assembling pairing scheme of product, effectively improves yields, reduce going out of defect ware Existing, thus reducing production cost, save the resources of production；
(8) by carrying out the adjustment of technical process according to the detection data shown, machining process can be controlled (for example, it may be closed loop control), and also product design parameter can be adjusted, thus improve mach automatization journey Degree, reduces labor management and the cost safeguarded；
(9) pass through to show material and/or the price of some positions of product, can aid in the data to product and carry out more Comprehensively show.Moreover, by material and price are combined displaying with the qualification rate/disqualification rate of product, can also be right The selection of product, the stocking up of concrete part, cost control etc. provide guides.
Brief description
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to institute in embodiment Need use accompanying drawing be briefly described it should be apparent that, drawings in the following description be only the present invention some enforcement Example, for those of ordinary skill in the art, on the premise of not paying creative work, can also obtain according to these accompanying drawings Obtain other accompanying drawings.
Fig. 1 is the flow chart of the processing method of product data according to embodiments of the present invention；
Fig. 2 is the schematic diagram disqualification rate of product being shown according to one embodiment of the invention；
Fig. 3 is the schematic diagram qualification rate of product being shown according to one embodiment of the invention；
Fig. 4 is that the processing method of product data according to embodiments of the present invention was used for showing that machining flow process is optimized It is intended to；
Fig. 5 is the block diagram of the processing meanss of product data according to embodiments of the present invention.
Specific embodiment
The description of this illustrated embodiment should be combined with corresponding accompanying drawing, and accompanying drawing should be used as the one of complete description Part.In the accompanying drawings, the shape of embodiment or thickness can expand, and to simplify or convenient to indicate.Furthermore, respectively tie in accompanying drawing The part of structure will be illustrated it is notable that in figure is not shown or unit that illustrated by word with being respectively described Part, is the form known to a person of ordinary skill in the art in art.
The description of embodiments herein, about any reference in direction and orientation, is all for only for ease of description, and can not manage Solution is any restriction to the scope of the present invention.Relational language, as " lower ", " higher ", " level ", " vertical ", " On ", " under ", " on ", D score, " top " and " | bottom " and its derivative (such as " flatly ", " down ", " up " Etc.) orientation that discussed shown in described in illustrating or accompanying drawing all should be interpreted.These relational languages are just to side Just describe, and be not considered as explaining or the concrete operations in particular orientation to instrument and equipment.Term, such as " attached Upper ... " (attached), " being fixed on ... ", " connected " and " being connected with each other " refer to a kind of relation, wherein tie Structure, by directly or indirectly through insert structure, is fixed or is attached to another structure, describes unless there are clear and definite, described structure bag Include moveable or fixed or associated.Additionally, the features and advantages of the invention are by referring to preferred reality The scheme of applying illustrates.It is therefore preferable that the combination of the possible infinite feature of embodiment explanation, these features may be independent Exist or combination exists, the present invention is not especially defined in preferred embodiment.The scope of the present invention is by claim Book is defined.
According to embodiments of the invention, there is provided a kind of processing method of product data.
As shown in figure 1, the processing method of product data according to embodiments of the present invention includes：
Step S101, carries out region division to the model of product, obtains multiple unit areas；
Step S102, based on the model after region division, shows the detection data of product, wherein, in display detection data When, according to the corresponding position on product of detection data, determine unit area corresponding with this position in model, and determining Unit area at show detection data.
By above-mentioned process, the model of product can be divided, and show the detection data of product wherein, can It is accurately positioned each parameter of product in a model, and intuitively shown, thus contributing to rapidly being analyzed and counting, Processing for subsequent production provides foundation.In one embodiment, this model can carry out numeral according to the exact shape of product and builds Mould obtains, and mould shapes can be with being shaped like or identical of product, more accurately to carry out data display.
Above-mentioned detection data can be the set of the testing result obtained by multinomial detection.For example, for a class product, can Individually to be detected to its surface A, as testing result, the surface B for such product is carried out size a obtaining surface A Individually detect, roughness b that can obtain surface B is as testing result.When showing detection data, the knot being detected according to each Fruit and each detection execution position of each detection and mould on the corresponding relation between the execution position on product and product Corresponding relation between unit area in type, shows corresponding testing result in the unit area of model.That is, more than As a example stating surface A and the B of product, the surface A of the product corresponding region on model is A ', at this point it is possible to the area on model Domain A ' display size a；Corresponding region on model for the surface B of product is B ', at this point it is possible to the region B ' display on model Roughness b.
Carried out by the corresponding units region in a model by the testing result obtained by each detection that product is executed Show respectively, more, more complicated data can be shown in a model without any confusion, and not result in and obscure, contribute to Check and analyze.
Before display detection data, the detection information that product is detected is preserved to data base.In data base The detection information of middle preservation can include：Detection mark, detection type, the quantity of detection, the type identification of product, inspection Survey content, the picture identification of detection；And, when showing detection data, the detection information preserving can be entered in data base Row extracts, and obtains the detection data needing to be shown in a model.Wherein, detection type refers to size detection or table The defects detection such as surface roughness.What detection content referred to detection is length, hardness or diameter etc..Detection quantity is pointer When the detection that certain can be described with quantity detects, the quantity detecting, for example, is detecting to burr When, detection quantity just refers to the quantity of burr.
When being extracted, pretreatment can be carried out to some parameters extracted from data base, for example, for some phases The parameter value of same type carries out average operation, can also by some useless information (for example, detection mark etc. do not need to carry out The data of visual presentation) delete, shown again afterwards.
Additionally, in one embodiment of the invention, when dividing to model, the surface of model can be divided into Multiple flat unit regions, and the interior zone of model is divided into multiple stereo-unit regions.For inner area need not be shown The product in domain, only can carry out division to the model surface of this product and obtain flat unit region, or, for table need not be shown The product of face parameter, then only can obtain stereo-unit region to carrying out division inside the model of this product.
Further, in the case that division obtains flat unit region and stereo-unit region at the same time, in this Liang Lei area In domain, the detection data of display can include Surface testing data and internal detection data.Wherein, Surface testing data passes through inspection The surface region surveying product obtains, for example, it is possible to it is dirty etc. to include the size of surface texture, hardness, surface roughness, surface； Internal detection data is obtained by detecting the interior zone of product, can include inner structure size, internal trachoma parameter etc..
When based on ready-portioned model display detection data, for Surface testing data, for example, the surface A of product Detection data a, can determine and the flat unit region A ' corresponding to product surface A, the plane list determining afterwards in a model First region A ' place display surface detection data, i.e. flat unit region A ' display detection data a in a model；For inside Detection data, for example, detection data c of the interior zone C of product, can determine in a model first and interiors of products region C Corresponding stereo-unit region C ', and in internal detection data c of stereo-unit region C ' place display determining.
By the surface of model and inner space are respectively divided into plane domain and solid region, can systematically exist Showing different detection datas in model, thus making model more comprehensive, reasonable for the displaying of product data, allowing operator very Easily differentiate each item data correspondence position in the product, be not susceptible to misidentification.
In one embodiment of the invention, the mode of display surface detection data and internal detection data has in a model A lot, for example, it is possible to be indicated by word and/or figure.
For example, Surface testing data can include：Size, hardness, surface roughness and/or surface are dirty；
Specifically, can display surface detection data in the following manner：For size and hardness, can be by size And/or the parameter value of hardness is labeled at flat unit region, i.e. Direct Mark numerical value；Dirty for surface roughness and surface Dirt, is had a strong impact on it is possible to be indicated by more intuitive way, example because meeting produces to the quality of accurate device As shown that at flat unit region figure carrys out display surface roughness and surface is dirty, or it is also possible to adopt further It is indicated with word.
Specifically, the roughness on surface is mainly reflected in burr, hollow and the cut on surface etc., so, can pass through Different figures makes a distinction.In one embodiment, can be by spheroid or circular expression burr and hollow, by spheroid Or ellipse represents surface scratch；By showing that at flat unit region annulus represents that surface is dirty, wherein, by figure Quantity represents burr, hollow, the dirty quantity of cut and surface, by the size Expressing burr of figure, hollow, cut and surface Dirty size.For example, cut generally has certain length, then can represent its length by oval or ellipsoid shape, Length is longer, the eccentricity bigger (shape is more flat) of ellipse or ellipsoid.In actual applications, defect can be pre-set not With the corresponding relation between the corresponding relation between size and dimension of picture, and defects count and figure quantity.For example, for The burr that diameter is less than 0.5 μm, can be indicated by the spheroid of a diameter of 1CM, in a model for 0.5-1 μm of burr Then it is indicated by the spheroid of a diameter of 1.5CM, each spheroid represents and occurs in that 1-3 burr.Assume certain table of product 5 burrs are occurred in that on face, a diameter of 0.4 μm of wherein 4 burrs, a diameter of 0.7 μm of the 5th burr, now, on model The spheroid of 2 a diameter of 1CM and the ball of 1 a diameter of 1.5CM will be shown in flat unit region corresponding with this surface Body.Expression for dirty, hollow, cut, it would however also be possible to employ similar approach.
In a further embodiment, for the machinofacture of optical field, sensor devices surface dirty to quality There is vital impact, and a lot of non-photo-sensing device is then relatively low to the dirty requirement that whether there is.Therefore, passing through When display annulus represents that surface is dirty, the important journey in flat unit region can be represented further by the shade of annulus Degree.For example, it is possible to represent dirty by red annulus, for not allowing dirty sensor devices surface, Ke Yitong occur Cross wine-colored annulus to represent dirty quantity and size, for requiring relatively low surface, then carried out by ruddy annulus Represent.
Additionally, in one embodiment of the invention, above-mentioned internal detection data can include：Inner structure size and/ Or inside trachoma parameter.In the internal detection data of display, can be in the following manner：
By the size parameter values of certain internal structure of product being labeled in the stereo-unit being located at relevant position in model At region, to show inner structure size；Occur because the inside of product has been generally not allowed a large amount of trachomas, simultaneously for trachoma Size also can there are certain requirements it is possible to show that at stereo-unit region spheroid to represent internal trachoma parameter, and logical The mode crossing graphic display surface defect is similar to, and when representing trachoma parameter, the quantity that again may be by spheroid represents internal The quantity of trachoma, the size of the internal trachoma of size Expressing of spheroid.
In addition, when representing Surface testing data and internal detection data by multiple graphics combine, can be by difference Color distinguishing different parameters, the spheroid of redness for example, can be expressed as trachoma, can be expressed as dust red Color annulus, can be expressed as yellow ellipse etc. for cut.Alternatively, when showing that spheroid to represent internal trachoma parameter, can To represent the significance level in stereo-unit region by the shade of spheroid.
By in flat unit region and stereo-unit region with figure and word by way of show product surface The various parameters that machinofacture generally involves can be carried out comprehensive, clear by roughness, hardness, size, dirty, trachoma etc. Show, it is to avoid when showing quantity of parameters, the problems such as block and easily obscure occurs clearly；Moreover, the one of the present invention In individual embodiment, by using the size and dimension showing various defects and defect by figure of different shapes, can More intuitively show the quality of product, contribute to quickly being analyzed and judging, be favorably improved operator's Work efficiency.
Additionally, detection data not only includes, by testing the data directly obtaining, also including being united based on test result The data obtaining after meter.In one embodiment of the invention, above-mentioned detection data may further include：The specific bit of product Put qualification rate and/or the disqualification rate of place's parameter；When showing qualification rate and/or disqualification rate, by model and specified Color at the corresponding position in position brings this qualification rate of expression and/or disqualification rate.For example, representing a class product base position During the disqualification rate put, can be at the position base of model, Show Color band is indicated, due to represent data when do not conform to Lattice rate is it is possible to adopt more eye-catching redness etc..
Specifically, according to one embodiment of present invention, when representing disqualification rate, can be by the color of color belt The depth represents the criticality of specified location parameter on product, and passes through the size of the width means disqualification rate of color belt. For example, the dimensional parameters at key position on product, can be indicated by wine-colored color belt, for non-key position The dimensional parameters at place, can be indicated by ruddy color belt.
For example, with reference to shown in Fig. 2, the disqualification rate of product top dimension parameter is by positioned at model 1 top color belt 2 table Show, the disqualification rate of bottom size parameter is represented by the color belt 3 positioned at model 1 bottom.Due to top dimensional parameters more Increase will, so compared to color belt 3, color belt 2 darker.
To show the parameter disqualification rate of some positions of product by way of with color belt, and to represent by shade Parameter importance and represent disqualification rate size by color bandwidth, can in a very intuitive way will be important Disqualification rate information alert is to operator, and operator can be allowed intuitively to learn the underproof position of parameter, do not conform to The size of lattice rate and significance level.
Additionally, when representing qualification rate, representing the parameter values for detection in detection data by the different weights of color belt Deviation and reference parameter value between, the color belt width means parameter values for detection of every kind of weight is in identical deviation range Product quantity.
For example, with reference to shown in Fig. 3, when representing the qualification rate of product top open part, can pass through on the top of model 1 Color belt be indicated (color of this color belt can be different from represent disqualification rate when color belt used color, for example, can Select blue), wherein, figure 3 illustrates 1 shallower color belt of color 4 and the deeper color belt 5 of 1 color.Its In, the depth of color represents the deviation between actual parameter and preferable reference value, and for example, dark color belt 5 represents that top is opened Within 1%, the shallower color belt of color 4 represents actual parameter value to deviation between the actual parameter value of mouth and preferable reference value Deviation and preferable reference value between is in 2%-3%.Every color belt represent product quantity in corresponding deviation range it is assumed that Every color belt represents deviation between the actual parameter value of 10 products and preferable reference value within 1%, illustrated in fig. 3 The width of dark color belt 5 be 3 times of color belt 4 width then it represents that the actual parameter value of 30 products and preferable reference value it Between deviation within 1%, and the deviation between the actual parameter value of 10 products and preferable reference value is within 2%-3%.
By the qualification rate showing some positions of product is brought with color, and represent parameter error model by shade Enclose and by the width means product parameters of every kind of weight color belt each deviation range distribution, can be intuitively Show the error distribution of product parameters, provide guide for the control of following process and product quality and help additionally it is possible to be The appearance of prediction substandard product provides reference.
In example shown in Fig. 2 and Fig. 3, color belt is spaced beyond the outer surface of model and with the outer surface of model Preset distance, forms profiling with model surface.In other instances, color belt can also be attached at the outer surface of model.
When representing qualification rate and the disqualification rate of different parameters respectively by multigroup color belt, different parameters institute can be allowed Corresponding color belt is located at different positions, it is to avoid overlaps, allows display to become apparent from.
Additionally, in one embodiment of the invention, the said goods can be assembled by multiple single product, now, for The disqualification rate of this product is obtained by carrying out detection to the product after assembling.When being combined assembling, assembling can be recorded Become the parameter of all single product of each product, so, after assembling by displaying, the disqualification rate of product is it becomes possible to analyze assembling Result afterwards, and can obtain participating in the relation between single product parameter of assembling and disqualification rate.Under normal circumstances, it is assembled into The parameter of each single product of one product can be floated in allowed limits although the parameter of these single product is all qualified, but It is that the parameter relation each other of these single product may be unsatisfactory for some requirements, the product obtaining after therefore leading to assemble is qualified Rate is relatively low.It is shown by disqualification rate is carried out to completed knocked down products, can aid in and judge the assembling effect of which single product not Good, thus being optimized to the assembling pairing scheme of product, effectively improving yields, reducing the appearance of defect ware, contributing to dropping Low production cost, the saving resources of production.
For example, it is assumed that the assembly of a certain type is combined and is assembled by single product A and single product B, 8 subassembly products are being entered Find after row detection, the parameter participating in all single product A and single product B of combination assembling is all qualified, and table 1 below shows 8 The result that subassembly product is detected.
Numbering Single product A parameter Single product B parameter Assembly Qualification
Subassembly product 1 15.8 16.2 Unqualified
Subassembly product 2 15.8 15.9 Unqualified
Subassembly product 3 15.9 16.1 Unqualified
Subassembly product 4 15.9 16.0 Unqualified
Subassembly product 5 15.9 15.9 Qualified
Subassembly product 6 15.8 15.8 Qualified
Subassembly product 7 15.9 15.8 Qualified
Subassembly product 8 15.8 15.7 Qualified
Table 1
It can be seen from Table 1 that, 4 subassembly products (that is, subassembly product 1 is to subassembly product 4) in 8 subassembly products are no Qualified, in addition 4 subassembly products (that is, subassembly product 5 is to subassembly product 8) are qualified, and disqualification rate reaches 50%.By to list After the parameter of product A and single product B is analyzed it is found that in underproof subassembly product 1 to 4 each subassembly product single product A Parameter is respectively less than the parameter of single product B.For qualified subassembly product 5 to 8, the parameter of single product A is more than or equal to the ginseng of single product B Number.Be can be seen that when single product A and single product B is carried out assembling pairing by analysis, each single product A is selected it should try one's best Single product B that parameter value is less than or equal to this single product A is assembled, such that it is able to improve the qualification rate of subassembly product, effectively therewith Reduces cost, improve product quality.
In addition, according to the detection data of display, the processing technology of product being controlled, and also product can be adjusted The design parameter of product, to improve product quality.By carrying out the adjustment of technical process and parameter, energy according to the detection data shown Enough machining process being controlled with (for example, it may be closed loop control), thus improve mach automaticity, reducing Labor management and the cost safeguarded.
Additionally, in one embodiment, the solution of the present invention can also show product corresponding position at unit area Material and/or price.Material and price are combined displaying with the qualification rate/disqualification rate of product, can aid in product Selection, the stocking up of concrete part, cost control etc. provide and guide.
Additionally, in one embodiment, treatment in accordance with the present invention method further includes：Product is assembled by multiple single product Form, in the case of partly single product wherein are selected, the display model of selected single product the model based on this single product Show the detection data of this single product；And, when showing the detection data of product, show further and between single product, connect cooperation position Put the parameter (for example, it may be connecting the dimensional parameters of each single product at cooperation position) at place.
Because, for the product that the assembling of single product obtains, the connection mated condition between single product is equally reaction completed knocked down products The key factor of quality, so connecting the parameter at cooperation position by display, can allow operator more easily recognize The practical situation of assembling, contributes to judging the quality of completed knocked down products.
Additionally, in one embodiment, treatment in accordance with the present invention method further includes：Detection number in display product According to when, according to the selection of user, show selected detection data.In actual applications, detection data potentially includes product Defective data on sized data, product etc., when showing these detection datas, user can be selected manually, so, will Only the detection data that user selectes can be shown, and nonoptional detection data is hidden, thus allowing the user can be optionally Check detection number, allow the content of display to become apparent from.
Process as described above can apply to machining field, will taking machining and Product checking as a example retouch below State technical scheme.
Step one：Every detection of single product (that is, single product) and its assembly and data preserve
Single product and assembly are detected, contact measurement and untouchable inspection can be divided into according to the detection way of contact Survey, size detection, SHAPE DETECTION, Surface testing etc. can be divided into according to detection content.For example：It is utilized respectively visual theory, laser The sensors such as principle, three-coordinates measuring machine and equipment measure to single product and its assembly, and result data is preserved to by each The big data platform that type data base (Oracle, MySql etc.) forms.
In this step, detection measurement can be carried out, for example based on various survey tools：Vision-based detection size, surface Defect etc., preserves related process picture and result data；Laser sensor carries out surface roughness, object various dimensions Measurement；Three-coordinates measuring machine carries out the measurement of size, surface roughness；Hardness tester carries out measurement of object hardness etc..In measurement Before, first carry out the data model of object detection item.After obtaining testing result, data can be preserved to data base.Its field Including：
(1) detection ID；
(2) detection type：Size, surface roughness, defect etc.；
(3) detection corresponds to single product ID；
(4) detection corresponds to assembly ID；
(5) detection particular content：Length, diameter, hardness etc.；
(7) detection content quantity：Burr quantity etc.；
(6) detection Image ID：ID of result picture etc..
Data is carried out above-mentioned classification be automatically imported or be manually entered big data platform.At related picture Reason adnexa is accompanied by unique ID and is saved in server.
Step 2：The threedimensional model of single product and its assembly is set up
If design phase detection object is threedimensional model, can directly invoke, if two-dimentional drawing or do not have correlation Model, then carry out threedimensional model modeling.Modeling pattern is modeled (Proe, UG, Solidworks, 3DMax using various instruments Deng).
In this step, need the 3D model by detected single product and its assembly, this model can be design rank The existing model of section；If the design phase does not have 3D model, need to carry out 3D modeling.Modeling tool includes：Proe、UG、 Solidworks, 3Dmax are in interior all kinds of 3D design softwares.3D model needs to divide all above attached band of position Good, it is divided into surface region and interior zone.
Surface region is divided into exterior surface area again, two kinds of inner surface area, in order to by detection position and surface region phase Association, surface region is carried out region division according to Surface Edge boundary line, each region has unique No. ID.On this basis, right Each surface region carries out two dimension again and is divided into little surface elemant (that is, obtaining flat unit region), each surface elemant There is unique No. ID.Each surface elemant is made up of the face region ID that is located, unit ID, the X of unit, Y-coordinate.
Interior of articles region is then by three-dimensional division, and each three-dimensional junior unit (that is, above-mentioned stereo-unit region) has There is unique No. ID, X, Y, Z coordinate.
After completing region division, detection attached for 3D model and surface region, interior zone coordinate can be carried out Coupling, preserves to data base.Its field includes：
(1) survey species type：Single product, assembly, per unit area yield category, assembly class
(2) detectable substance ID；
(3) detectable substance surface region detection group：Face ID, detection ID；
(4) detection interior zone detection group：Spatial coordinate, detection ID；
(5) composition of detection components：Single product ID1, single product ID2；
(6) detection disqualification rate；
(7) detection disqualification rate grade；
(8) the qualified distribution of detection
Step 3：Need the data prediction of display and analysis and extract
The requirement showing as needed and analyzing, from the data that large database concept platform carries out correlation is extracted and is made in advance Reason, for example：Data screening, computing etc..Data result after processing is preserved.
In this step, can first select to need single product and the assembly of analysis, by the detection of all of pairing accordingly Item is automatically imported or is manually entered the data field of 3D model.The data of institute's typing obtains as requested from big data platform Carry out pretreatment, for example：Statistical average, all kinds of process such as data Fourier transformation.
Step 4：Generate single product and its assembly items testing result visualization 3D model
By pre-treatment after data possess color, size, word etc. and retouch with color belt, color ring, color solid circle etc. The unit stating information represents.When carrying out 3D display, user can individually select the 3D of single product to show, can by analysis So that the data of single product and assembly to be associated.
In this step, with 3D model as carrier, detection is attached on model, is shown by visual picture, and And carry out the display of product class.
In this step, different according to detection attribute, these detections can be carried out with classification display：
(1) product and its assembly surface size be (for example：Diameter, length etc.) directly can be shown with word on surface Show.
(2) product and its component internal size be (for example：Trachoma diameter, length etc.) can be in corresponding area coordinate Use text importing.
(3) data such as the rough surface of product and its assembly, defect can be in corresponding surface text importing.
(4) disqualification rate of the surface critical size of product class and its assembly class carries coloured colour band to represent, colour band Profile be close to body surface, form profiling；Or, colour band can be apart from surface a certain distance, i.e. parallel distance, parallel away from From length can arrange as requested.For example：The disqualification rate redness of certain crucial diameter dimension represents, the depth table of redness Show the grade of this disqualification rate, higher grade illustrates that this size is more important, and red range wide represents the size of disqualification rate If overlap in the colour band scope of detection, overlapping detection is carried out parallel distance setting respectively, is allowed to stagger.Certain The qualified distribution green (or blueness is it is also possible to select other colors) of crucial diameter dimension represents, by size in acceptability limit The depth of interior distribution green color represents, the width means of color belt ratio within the range.The number of certain internal trachoma Amount and mark carry coloured ball to represent, color is redness, and the red depth represents important level, and ball quantity represents trachoma Quantity.The pollution dust on certain surface carries coloured circle to represent, color is redness, and the red depth represents important level, Circle quantity represents quantity.
(5) when display module, shown analysis if necessary to upon and single product, then simultaneously permissible Select and open the 3D model of correlation using the mode of human-computer interaction interface.For example：Can rotate from different angles by model Sub-component or single product that degree shows required for selecting, then double-click and are loaded, show in another one interface.
Step 5：Result is fed back to design, production phase, forms closed loop manufacturing process
According to the analysis result of single product and its assembly, can to design, the change of production phase, improve provide data Foundation.Result is fed back, has been reached the closed loop control of whole manufacturing process, be allowed to the characteristic possessing industry 4.0.
Shown in Figure 4 as can be seen that in above process, product through design, manufacture, obtain after the operation such as assembling Product, the data after product is detected is stored into big data platform, detection data is carried out be entered into 3D after pretreatment In model, and then by the visualization of 3D model realization detection data, after data is analyzed, can be used for guide product Design, the manufacturing and assembling, thus improve yields.
In this step, data analysiss association can be carried out to (5th) item in step 4, for example：By two kinds of product keys The disqualification rate of the qualified distribution diagram of size and assembly can analyze assembling in the range of certain qualified size of two kinds of products Qualification rate highest；Show that some key Design stages, production technology need to improve by the off-dimension rate of product；By product Surface defect result feeds back to surface processing technique and forms improvement project.Thus data result is fed back to design, production phase Form the manufacturing process of closed loop.Cause effect relation is there is between single product testing result and component detection result, thus single The improvement of product can improve the yields of assembly.In addition, the testing result of single product can be used for feeding back to design, manufactures In the stage, can be used for improving related procedure.Moreover, component detection result can be used for feeding back to design, the manufacturing, assembling rank Section, for improving related procedure.
According to embodiments of the invention, additionally provide a kind of processing meanss of product data.
As shown in figure 5, the processing meanss of product data according to embodiments of the present invention include：
Model partition module 51, for carrying out region division to the model of product, obtains multiple unit areas；
Display control module 52, for based on the model after region division, showing the detection data of product, wherein, aobvious When showing detection data, according to the corresponding position on product of detection data, determine cellular zone corresponding with this position in model Domain, and show detection data at the unit area determining.
Wherein, above-mentioned detection data is obtained by carrying out multinomial detection to product；When showing detection data, display control mould The result that block 52 detects according to each and each detection are every on the corresponding relation between the execution position on product and product Corresponding relation between unit area in the execution position of item detection and model, shows corresponding inspection in the unit area of model Survey result.
When dividing to model, model partition module 51 is in the following ways：
The surface of model is divided into multiple flat unit regions；And/or
The interior zone of model is divided into multiple stereo-unit regions.
In one embodiment, the Surface testing number obtained by detection data is included by the surface region of detection product According to and/or by detect product interior zone obtained by inside detection data；And, when showing detection data, for Surface testing data, display control module determine in model with the flat unit region corresponding to surface region, and determine Display surface detection data at flat unit region；For internal detection data, display control module determine in model with inside Stereo-unit region corresponding to region, and show internal detection data at the stereo-unit region determining.
Specifically, in display control module display surface detection data and internal detection data, word can be passed through And/or figure is indicated.
In one embodiment, Surface testing parameter includes：First parameter and the second parameter；
Wherein, display control module display surface detection data in the following manner：
By being labeled in the parameter value of the first parameter at flat unit region, to show the first parameter；
By showing figure and/or word at flat unit region, to show the second parameter.
Specifically, the first parameter can include at least one of：Surface texture size, hardness；Second parameter is permissible Including at least one of：Surface roughness, surface are dirty.
In a specific embodiment, at flat unit region during display surface roughness, display control module is permissible By spheroid or circular expression burr and hollow, by spheroid or oval expression surface scratch；Display control module is also logical Cross and show that annulus represents that surface is dirty at flat unit region, wherein, burr, hollow, cut are represented by the quantity of figure The quantity dirty with surface, by the size Expressing burr of figure, hollow, the dirty size of cut and surface.
Further, when showing that annulus represents that surface is dirty, display control module can be by the shade of annulus Spend and to represent the significance level of product surface corresponding to flat unit region.
Additionally, above-mentioned inside detection data can include：Inner structure size and/or internal trachoma parameter；
Specifically, display control module shows internal detection data in the following manner：By by inner structure size Parameter value be labeled at stereo-unit region, to show inner structure size；By showing spheroid at stereo-unit region, To show internal trachoma parameter, wherein, the quantity of spheroid represents the quantity of internal trachoma, the internal trachoma of size Expressing of spheroid Size.
Furthermore, when showing that spheroid to represent internal trachoma parameter, the color by spheroid for the display control module The depth is representing the significance level in stereo-unit region.
Additionally, above-mentioned detection data may further include：The qualification rate of specified location parameter of product and/or do not conform to Lattice rate；When showing qualification rate and/or disqualification rate, display control module passes through position corresponding with specified location on model The color at place brings this qualification rate of expression and/or disqualification rate.
On the one hand, when representing disqualification rate, display control module can represent specific bit by the shade of color belt Put the criticality of place's parameter, by the size of the width means disqualification rate of color belt.
On the other hand, when representing qualification rate, display control module can represent detection by the different weights of color belt Deviation between parameter values for detection in data and reference parameter value, the color belt width means parameter values for detection of every kind of weight It is in the product quantity in identical deviation range.
In a particular application, it is spaced pre- spacing beyond color belt may be located at the outer surface of model and with the outer surface of model From, or, color belt can also be attached at the outer surface of model.
Additionally, in the case that product is assembled by multiple single product, disqualification rate is that the product after assembling is carried out detecting Arrive, and, processing meanss according to an embodiment of the invention may further include：
Assembling optimization module (not shown), for the ginseng according to disqualification rate and all single product being assembled into each product Number, is optimized adjustment to the matching method of single product.
Additionally, processing meanss according to an embodiment of the invention may further include：
Process parameter optimizing module, for detection data, the processing technology to product and/or design parameter according to display It is adjusted.
Additionally, display control module can be additionally used in showing material and/or the valency of product corresponding position at unit area Lattice.
In one embodiment of the invention, product is assembled by multiple single product, and partly single product wherein are chosen In the case of, display control module is shown the model of selected single product and is shown the inspection of this single product based on the model of this single product Survey data；And, when showing the detection data of product, display control module shows connection cooperation position between single product further The parameter at place.
Alternatively, when showing the detection data of product, display control module can be also used for the selection according to user, shows Show selected detection data.
In sum, the present invention provides the new form of expression for product quality detection and analysis, solves word or chart Cannot be carried out system evaluation and record Deng traditional form of expression and cannot quickly show that product component qualification rate and single product close The corresponding relation of lattice rate, cannot quickly through data analysiss draw relative plan improve conforming product rate the problems such as.The present invention's Scheme can improve production, processing, assembly technology flow process, thus reaching the raising of yield, quality, precision and efficiency, saves The loss of material is additionally it is possible to save valuable time for modified technique.
From whole production procedure, the solution of the present invention can be extracted data from big data platform and be analyzed, and will divide Analysis result feed-forward, the improvement can be designed, produce, assembled is it might even be possible to feed-forward is to the acquisition phase.It is allowed to have The feature of standby industry 4.0.In addition, data type involved in the present invention is wider, this data is that all can be saved and energy Enough analyzed data, in addition to parameter, can also include the disqualification rate distribution of product, qualification rate distribution, defect distribution, The type declaration of material, material price etc..By intuitively showing the different parts qualification rate scattergram of like product, permissible According to the relatively low part of product position size qualification rate relatively low with the yield of product the reason carry out preliminary hypothesis and associate, and then Find out problem points, carry out the improvement of follow-up production and processing technology.By dimension control detection distribution and the group of analysis product Association between the yields of part, can find out the product best pairing mode of assembly assembling, for improving the yield of assembling assembly Improve and data foundation is provided.
The foregoing is only presently preferred embodiments of the present invention, not in order to limit the present invention, all essences in the present invention Within god and principle, any modification, equivalent substitution and improvement made etc., should be included within the scope of the present invention.

Claims (42)

1. a kind of processing method of product data is it is characterised in that include：
Region division is carried out to the model of product, obtains multiple unit areas；
Based on the described model after region division, show the detection data of described product, wherein, show described detection data When, according to the corresponding position on described product of described detection data, determine unit corresponding with this position in described model Region, and show described detection data at the described unit area determining.
2. processing method according to claim 1 is it is characterised in that further include：Show described detection data it Before, the detection information that described product is detected is preserved to data base；Wherein, preserve described detection information include following At least one：Detection mark, detection type, the quantity of detection, the type identification of described product, detection content, detection The picture identification of item；
And, when showing described detection data, the described detection information preserving is extracted, used in described data base In the described detection data being shown in described model.
3. processing method according to claim 1 is it is characterised in that described detection data is multinomial by carrying out to described product Detection obtains；
When showing described detection data, the result and each detection execution position on described product that are detected according to each it Between corresponding relation and described product on each detection execution position and unit area in described model between corresponding close System, shows corresponding testing result in the unit area of described model.
4. processing method according to claim 1 includes it is characterised in that carrying out to described model dividing：
The surface of described model is divided into multiple flat unit regions；And/or
The interior zone of described model is divided into multiple stereo-unit regions.
5. processing method according to claim 4 is it is characterised in that described detection data is included by detecting described product Surface region obtained by Surface testing data and/or by detect described product interior zone obtained by inside inspection Survey data；
And, show described detection data when, for described Surface testing data, determine in described model with described surface district Flat unit region corresponding to domain, and show described Surface testing data at the described flat unit region determining；For Described internal detection data, determine in described model with the stereo-unit region corresponding to described interior zone, and determining The described internal detection data of display at described stereo-unit region.
6. processing method according to claim 5 is it is characterised in that showing described Surface testing data and described inside During detection data, it is indicated by word and/or figure.
7. processing method according to claim 6 is it is characterised in that described Surface testing parameter includes：First parameter and Second parameter；
Wherein, show described Surface testing data in the following manner：
By being labeled in the parameter value of described first parameter at described flat unit region, to show described first parameter；
By showing figure and/or word at described flat unit region, to show described second parameter.
8. processing method according to claim 7 it is characterised in that
Described first parameter includes at least one of：Surface texture size, hardness；
Described second parameter includes at least one of：Surface roughness, surface are dirty.
9. processing method according to claim 8 it is characterised in that at described flat unit region display surface coarse When spending, by spheroid or circular expression burr and hollow, by spheroid or oval expression surface scratch；By described flat Show at the unit area of face that annulus represents that surface is dirty, wherein, burr, hollow, cut and surface are represented by the quantity of figure Dirty quantity, by the size Expressing burr of figure, hollow, the dirty size of cut and surface.
10. processing method according to claim 9 it is characterised in that show annulus represent that surface is dirty when, by circle The colour darkness of ring is representing the significance level of product surface corresponding to described flat unit region.
11. processing methods according to claim 6 are it is characterised in that described internal detection data includes：Internal structure chi Very little and/or internal trachoma parameter；
Wherein, show described internal detection data in the following manner：
By being labeled in the parameter value of inner structure size at described stereo-unit region, to show described internal structure chi Very little；
By showing spheroid at described stereo-unit region, to show internal trachoma parameter, wherein, the quantity of spheroid represents interior The quantity of portion's trachoma, the size of the internal trachoma of size Expressing of spheroid.
12. processing methods according to claim 11 are it is characterised in that to represent internal trachoma parameter in display spheroid When, the significance level in described stereo-unit region is represented by the shade of spheroid.
13. processing methods according to claim 1 are it is characterised in that described detection data further includes：Described product The qualification rate of specified location parameter and/or disqualification rate；
When showing described qualification rate and/or described disqualification rate, by corresponding with described specified location on described model Color at position brings this qualification rate of expression and/or disqualification rate.
14. processing methods according to claim 13 it is characterised in that represent disqualification rate when, by color belt Shade represents the criticality of described specified location parameter, by the size of the width means disqualification rate of color belt.
15. processing methods according to claim 13 it is characterised in that represent qualification rate when, by color belt not Represent the deviation between the parameter values for detection in detection data and reference parameter value, the color bandwidth of every kind of weight with weight Degree represents that parameter values for detection is in the product quantity in identical deviation range.
16. processing methods according to claim 13 are it is characterised in that described color belt is located at the outer surface of described model In addition and with the outer surface of described model spaced a predetermined distance, or, described color belt is attached at the outer surface of described model.
17. processing methods according to claim 14 are it is characterised in that situation about being assembled by multiple single product in described product Under, described disqualification rate is to carry out detection to the described product after assembling to obtain, and, described processing method further includes：
According to the parameter of described disqualification rate and all single product being assembled into each product, the matching method of single product is adjusted Whole.
18. processing methods according to claim 1 are it is characterised in that further include：
According to the described detection data of display, the processing technology and/or design parameter of described product is adjusted.
19. processing methods according to claim 1 are it is characterised in that further include：
Material and/or the price of described product corresponding position is shown at described unit area.
20. processing methods according to any one of claim 1 to 19 are it is characterised in that further include：
Assembled by multiple single product in described product, and in the case of partly single product therein are selected, display is selected The model of described single product simultaneously shows the detection data of this single product based on the model of this single product；
And, when showing the detection data of described product, show the ginseng connecting between described single product at cooperation position further Number.
21. processing methods according to any one of claim 1 to 19 are it is characterised in that further include：
When showing the described detection data of described product, according to the selection of user, show selected detection data.
A kind of 22. processing meanss of product data are it is characterised in that include：
Model partition module, for carrying out region division to the model of product, obtains multiple unit areas；
Display control module, for based on the described model after region division, showing the detection data of described product, wherein, When showing described detection data, according to the corresponding position on described product of described detection data, determine in described model with The corresponding unit area in this position, and show described detection data at the described unit area determining.
23. processing meanss according to claim 22 are it is characterised in that further include：Data processing module, for Before showing described detection data, the detection information that described product is detected is preserved to data base；Wherein, preserve institute State detection information to include：Detection mark, detection type, the quantity of detection, the type identification of described product, detection are interior Appearance, the picture identification of detection；
And, when showing described detection data, described data processing module is used for the described inspection preserving in described data base Measurement information is extracted, and obtains the described detection data for being shown in described model.
24. processing meanss according to claim 22 are it is characterised in that described detection data is many by carrying out to described product Item detection obtains；
When showing described detection data, described display control module is used for being detected in institute with each according to the result that each detects State in the execution position of each detection and described model on corresponding relation and the described product between the execution position on product Corresponding relation between unit area, shows corresponding testing result in the unit area of described model.
25. processing meanss according to claim 22 are it is characterised in that described model partition module is carried out to described model The mode dividing includes：
The surface of described model is divided into multiple flat unit regions；And/or
The interior zone of described model is divided into multiple stereo-unit regions.
26. processing meanss according to claim 25 are it is characterised in that described detection data is included by detecting described product Surface testing data obtained by the surface region of product and/or by detecting the inside obtained by the interior zone of described product Detection data；
And, when showing described detection data, for described Surface testing data, described display control module determines described mould With the flat unit region corresponding to described surface region in type, and show described table at the described flat unit region determining Face detection data；For described internal detection data, described display control module determine in described model with described interior zone Corresponding stereo-unit region, and the described internal detection data of display at the described stereo-unit region determining.
27. processing meanss according to claim 26 are it is characterised in that show described surface in described display control module When detection data and described internal detection data, it is indicated by word and/or figure.
28. processing meanss according to claim 27 are it is characterised in that described Surface testing parameter includes：First parameter With the second parameter；
Wherein, described display control module shows described Surface testing data in the following manner：
By being labeled in the parameter value of described first parameter at described flat unit region, to show described first parameter；
By showing figure and/or word at described flat unit region, to show described second parameter.
29. processing meanss according to claim 28 it is characterised in that
Described first parameter includes at least one of：Surface texture size, hardness；
Described second parameter includes at least one of：Surface roughness, surface are dirty.
30. processing meanss according to claim 29 it is characterised in that at described flat unit region display surface thick During rugosity, described display control module passes through spheroid or circular expression burr and hollow, by spheroid or oval expression table Face cut；Also by described flat unit region, described display control module shows that annulus represents that surface is dirty, wherein, lead to The quantity crossing figure represents burr, hollow, the dirty quantity of cut and surface, by the size Expressing burr of figure, hollow, draws The dirty size of trace and surface.
31. processing meanss according to claim 30 it is characterised in that show annulus represent that surface is dirty when, described Display control module represents the important journey of product surface corresponding to described flat unit region by the colour darkness of annulus Degree.
32. processing meanss according to claim 27 are it is characterised in that described internal detection data includes：Internal structure Size and/or internal trachoma parameter；
Wherein, described display control module shows described internal detection data in the following manner：
By being labeled in the parameter value of inner structure size at described stereo-unit region, to show described internal structure chi Very little；
By showing spheroid at described stereo-unit region, to show internal trachoma parameter, wherein, the quantity of spheroid represents interior The quantity of portion's trachoma, the size of the internal trachoma of size Expressing of spheroid.
33. processing meanss according to claim 32 are it is characterised in that to represent internal trachoma parameter in display spheroid When, described display control module represents the significance level in described stereo-unit region by the shade of spheroid.
34. processing meanss according to claim 22 are it is characterised in that described detection data further includes：Described product The qualification rate of specified location parameter of product and/or disqualification rate；
Showing described qualification rate and/or during described disqualification rate, described display control module pass through on described model with institute State the color at the corresponding position of specified location and bring this qualification rate of expression and/or disqualification rate.
35. processing meanss according to claim 34 it is characterised in that represent disqualification rate when, described display control Module represents the criticality of described specified location parameter by the shade of color belt, by the width means of color belt The size of disqualification rate.
36. processing meanss according to claim 34 it is characterised in that represent qualification rate when, described display control mould Block represents the deviation between the parameter values for detection in detection data and reference parameter value by the different weights of color belt, every kind of The color belt width means parameter values for detection of weight is in the product quantity in identical deviation range.
37. processing meanss according to claim 34 are it is characterised in that described color belt is located at the outer surface of described model In addition and with the outer surface of described model spaced a predetermined distance, or, described color belt is attached at the outer surface of described model.
38. processing meanss according to claim 35 are it is characterised in that situation about being assembled by multiple single product in described product Under, described disqualification rate is to carry out detection to the described product after assembling to obtain, and, described processing meanss further include：
Assembling optimization module, for the parameter according to described disqualification rate and all single product being assembled into each product, to list The matching method of product is optimized adjustment.
39. processing meanss according to claim 22 are it is characterised in that further include：
Process parameter optimizing module, for described detection data, the processing technology to described product and/or design according to display Parameter is adjusted.
40. processing meanss according to claim 22 are it is characterised in that described display control module is additionally operable in described list Material and/or the price of described product corresponding position is shown at first region.
41. processing meanss according to any one of claim 22 to 40 are it is characterised in that described product is by multiple single product Assemble, in the case of partly single product wherein are selected, described display control module shows selected described single product Model and show the detection data of this single product based on the model of this single product；
And, when showing the detection data of described product, described display control module shows further and connects between described single product Connect the parameter at cooperation position.
42. processing meanss according to any one of claim 22 to 40 are it is characterised in that in the institute showing described product When stating detection data, described display control module is additionally operable to the selection according to user, shows selected detection data.
CN201610848632.2A 2016-09-26 2016-09-26 Product data processing apparatus and method Pending CN106447765A (en)

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