CN106610622A - Processing method - Google Patents
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- CN106610622A CN106610622A CN201510699986.0A CN201510699986A CN106610622A CN 106610622 A CN106610622 A CN 106610622A CN 201510699986 A CN201510699986 A CN 201510699986A CN 106610622 A CN106610622 A CN 106610622A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/18—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form
- G05B19/19—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by positioning or contouring control systems, e.g. to control position from one programmed point to another or to control movement along a programmed continuous path
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Abstract
The invention discloses a processing method. The processing method is characterized by comprising the following steps: reading the graphic data of at least one 2D drawing in a way a primitive is read; building a database comprising at least one model based on the primitive and relevant coordinates; calibrating the characteristic parameters of a to-be-processed model through matching between input model parameters and models; and storing the parameters of the to-be-processed model, and processing a to-be-processed object according to the parameters. According to the processing method provided by the invention, the processing parameters of a to-be-processed object are obtained directly through a drawing to process a product, operation is simple and fast, the accuracy is high, and the time cost and error rate are reduced. By calibrating an obtained processing model, the characteristic parameters of the processing model are more accurate, and a processing object completely consistent with the drawing is obtained.
Description
Technical field
The present invention relates to parametrization manufacture field, especially designs a kind of processing method, i.e., it is a kind of based on two dimension
The method of graph paper parameterization processing object.
Background technology
In field of machining, numerically-controlled machine tool system is processed according to the X-Y scheme of user input.
It is so virtually higher to the input requirements of user.For planar graph processing, user perhaps can be given
Comparatively ideal figure.For more complicated solid figure is processed, such as require to process for ellipsoid, use
The figure that family is input into may not be the figure that user really wants.User input will necessarily so be produced
Figure and the error of the figure for accordingly processing, also increase the degree of difficulty of user input.
Chinese patent (A of CN 104698980) discloses a kind of numerical control vertical lathe parametrization of feature based
Processing control method, the processing control method includes：Step S11, pre-installs for processing product to be processed
The non-parameterized standard loop module of product and the global variable definition module for defining machined parameters；Step
S12, determines the feature machining region in processed product；Step S13, selected characteristic machining area
A certain feature, it is determined that the geometric parameter of the feature chosen；Step S14, it is determined that the cutting of the feature chosen
Parameter；Step S15, selects and the mark corresponding to selected feature in non-parameterized standard loop module
Quasi- cyclic program unit, the geometric parameter and cutting parameter of input feature vector, generates for selected feature
Processor, complete the processing of selected feature；Repeat step S13 to step S15, until
Complete the processing of all features in feature machining region.The patent needs user to be manually entered processed product
Geometric parameter so as to converted productss, loaded down with trivial details trouble.And be manually entered parameter and mistake easily occur, cause
The product defect ware for processing is more, increases the production cost of producer.
The content of the invention
For the deficiency of prior art, the present invention provides a kind of processing method, it is characterised in that described to add
Work method includes：
The graph data of at least one two-dimentional drawing is read in the way of to read pel；
The data base for including at least one model is set up based on the pel and dependent coordinate；
Calibrate the characteristic parameter of the model to be processed obtained by the model parameter being input into and Model Matching；
Store the parameter of the model to be processed and process the object to be processed according to the parameter.
According to a preferred implementation, described foundation based on the pel and dependent coordinate includes at least one
The method of the data base of individual model includes：
Based on coordinate system by least one meta graph recognition be at least one first processing models；
To respectively be stored in the way of mapping with model to be processed by the model parameter of outside input；
Second processing model is formed based on model to be processed and at least one model parameter；
The second processing model is stored to model database.
According to a preferred implementation, the mode of the reading pel includes：
The three-dimensional system of coordinate of only table diagram unit position is set up based on the direction signs of drawings marked；
With coordinate or function labelling primitive shapes and/or position；
The shape and position coordinateses of amendment pel.
According to a preferred implementation, the processing method includes：
Count each pel to be combined with each other combined probability together and store in probability database；
Early warning is sent to the abnormal meta graph recognition of the combined probability.
According to a preferred implementation, the processing method includes：
The feature machining region of object to be processed is determined based on the characteristic parameter of the model to be processed；
Cutting for feature is determined based on the material of object to be processed, the stage property information for being used and characteristic parameter
Cut parameter；
Generate the processor for selected feature to add based on input characteristic parameter and cutting parameter
Work object to be processed.
According to a preferred implementation, the processing method includes：
Calculate each toroidal function for the model to be processed that the pel is formed；
The toroidal function is converted to the mechanical axis coordinates of motion matched with processing unit (plant).
According to a preferred implementation, the direction signs of the drawing include radially mark, laterally mark
Knowledge, coordinates logo and proportional marking.
According to a preferred implementation, the data base is also included according to the type and coordinates regional of pel
The graphic unit database of the classification storage pel.
Also a kind of processing unit (plant) of the present invention, it is characterised in that including figure input block, Database Unit,
Alignment unit, memory element, PLC control machining cells,
The figure input block to read pel in the way of read the figure number of at least one two-dimentional drawing
According to；
At least one model that the Database Unit storage is set up based on the pel and dependent coordinate；
The model to be processed that the alignment unit calibration is obtained by the model parameter being input into and Model Matching
Characteristic parameter；
The memory element stores the parameter of the model to be processed and makes the PLC controls machining cell
The object to be processed is processed according to the parameter.
According to a preferred implementation, described device also includes processing model signal generating unit, processing model
Signal generating unit includes first acquisition unit, second acquisition unit, the 3rd acquiring unit and the first creating unit,
The first acquisition unit is added at least one meta graph recognition at least one first based on coordinate system
Work model；
The second acquisition unit is obtained by the model parameter of outside input；
3rd acquiring unit obtains model parameter to be processed；
The second acquisition unit and the 3rd acquiring unit by by the model parameter of outside input with treat
Processing model parameter is stored respectively in the way of mapping；
First creating unit creates second and processes based on model to be processed and at least one model parameter
Model；
The second processing model is stored to Database Unit.
The Advantageous Effects of the present invention：
The present invention provides a kind of processing method, by drawing directly obtain the machined parameters of object to be processed with
Converted productss, simple and fast, accuracy rate is high, saves time cost and fault rate.The present invention is to obtaining
Processing model calibrated so that the characteristic parameter of the processing model is more accurate, obtain and figure
The on all four processing object of paper.
Description of the drawings
Fig. 1 is the schematic flow sheet of the processing method of the present invention；
Fig. 2 is a kind of schematic diagram of calculating machine axial coordinate of the invention；
Fig. 3 is the schematic flow sheet of the processing that the present invention completes selected feature；
Fig. 4 is the schematic flow sheet of the processing unit (plant) of the present invention；With
Fig. 5 is processing model signal generating unit schematic diagram of the present invention.
Specific embodiment
It is described in detail below in conjunction with the accompanying drawings.
Pel in the present invention be constitute image elementary cell, such as the point, line, surface in threedimensional model
Etc. the minimum grapheme that can be edited.
As shown in figure 1, the present invention provides a kind of processing method, it is particularly suited for two-dimentional graph paper parameterization and adds
Work, in the present embodiment, by taking two-dimentional drawing as an example, method includes：Read at least in the way of to read pel
The graph data of one two-dimentional drawing；
The data base for including at least one model is set up based on the pel and dependent coordinate；
Calibrate the characteristic parameter of the model to be processed obtained by the model parameter being input into and Model Matching；
Store the parameter of the model to be processed and process the object to be processed according to the parameter.
Embodiment one
Figure, direction signs and other special identifiers on the two-dimentional drawing of scanning first.Determine X-Y scheme
The direction signs of paper, including radially mark, laterally mark and coordinates logo.Three are set up according to direction signs
Dimension space coordinate system.The figure of two-dimentional drawing is divided into into some pels.Remembered using coordinate or functional equation
Record place area of space, shape and the particular location of each pel.Store the data letter of each pel
Cease to graphic unit database.Data base is also included according to the type and coordinates regional classification storage pel of pel
Graphic unit database.
Figure, direction signs and other special identifiers on the two-dimentional drawing of reading second.If second figure
Paper and first drawing belong to approximately the same plane, and figure is drawn with same ratio, then using same three-dimensional
The coordinate of coordinate system or functional equation record the place area of space of the pel on second drawing, shape and
Particular location.If second drawing belongs to different planes from first drawing, by pel according to corresponding
The coordinate of coordinates regional or functional equation are recorded.Other two dimension drawings are read using identical mode.
The data base for including at least one model is set up based on pel and dependent coordinate.Data base includes pel
Data base, model database, model parameter table and processing model parameter list.Same model will be belonged to
At least one pel is combined as the first processing model in same three-dimensional system of coordinate.Obtain outside input
Model parameter is stored respectively with model to be processed in the way of mapping.Will outside input model store to
In model parameter table.Model parameter in model parameter table is deposited with the processing model parameter list of model to be processed
In the relation of mapping.
The corresponding multiple model parameters of modeling parameters information are obtained in processing model parameter list to be included：Obtain
Mapping relations in processing model parameter list between modeling parameters group；Joined in processing model according to mapping relations
The corresponding model parameter group of model parameter of outside input is determined in number table；And the mould of acquisition outside input
The corresponding model parameter group of shape parameter.
Further, creating the second processing model according to the model parameter for getting includes：Obtain model ginseng
The first parameter item in array, wherein, the first parameter item is the parameter in model parameter group；Obtain and the
The corresponding parameter of first parameter item first of one parameter item, wherein, first the first parameter of parameter item is the first ginseng
Several parameters；And the second processing model is created according to first the first parameter of parameter item.
After the second processing model is obtained, count each pel and be combined with each other combined probability together and store up
Deposit in probability database.Early warning is sent to the abnormal meta graph recognition of combined probability.Count each pel mutual
Combined combined probability together.And combined probability is divided into into different brackets according to height.For example,
Meta graph recognition of the combined probability less than 1% is labeled as into unusual combination.Statistics forms the first processing model
The probability of each meta graph recognition, provides alert to the meta graph recognition of unusual combination.Remind user's manual confirmation
The correctness of meta graph recognition, the first processing model that mistake is formed to avoid the coordinate due to pel from slipping up.
Second processing model is model to be processed.The logical data of model to be processed is previously stored with device
Storehouse.After model to be processed is formed, the characteristic parameter of model to be processed is calibrated according to logical data base.Meter
Whether the position of each characteristic parameter and figure for calculating model to be processed meets the rule of logical data.It is right
Calibrated in the characteristic parameter for not meeting logical laws.Or, for each figure in model to be processed
The coordinate of unit is recalibrated.Count the characteristic parameter table that should be formed after model to be processed is formed.Root
The characteristic parameter of model to be processed is compared according to characteristic parameter table.To there is the feature of error with characteristic parameter table
Parametric calibration is corrected.If it was found that the error of characteristic parameter sample characteristics parameter corresponding with characteristic parameter table
Outside normal range of error, then the rule whether characteristic parameter meets logical data is calculated first.If
The rule of logical data is not met, then sends early warning, by the characteristic parameter of manual correction mistake.Through school
The model to be processed of quasi- process, error rate is lower.
Store the parameter of model to be processed and process object to be processed according to parameter.Specifically, based on to be added
The characteristic parameter of work model determines the feature machining region of object to be processed.
The a certain feature of selected characteristic machining area, the characteristic parameter chosen is determined according to drawing.
Specifically, after a certain feature of selected characteristic machining area, should first according to detail drawing extract
The driving geological information in feature machining region, it is determined that the characteristic parameter chosen.
Calculate each toroidal function for the model to be processed that pel is formed；Toroidal function is converted to and processing
The mechanical axis coordinates of motion of device matching.
For example, as shown in Fig. 2 the curved surface of model to be processed is sphere, coordinate transform formula is：
Due to for vertical projection,D points are A,Throwing on Z axis
Shadow
Again | O ' A ' |=r, are the radius of object to be processed.Then
Obtain
In above-mentioned formula, x, y are to carry out the plane coordinates after center-biased in graphics processing, and r is to be added
Work lenses spherical radius, LQW refers to and hold in the palm in lathe glasses bobbin axial length to be processed.
The characteristic parameter of material according to processed product, the tool-information for being used and selection determines choosing
The cutting parameter of the feature for taking.Specifically, in the present embodiment, the characteristic parameter by choosing determines knife
Tool information；Tool-information at least includes tool type, tool characteristics parameter and tool sharpening mode etc..
Input external parameter is input characteristic parameter and cutting parameter, generates adding for selected feature
Engineering sequence, completes the processing of selected feature.As shown in figure 3, completing the processing of selected feature
Specifically include following steps：
Step S21, introduces external parameter, that is, introduce outside geometric parameter and cutting parameter；
Step S22, by the outside geometric parameter and cutting parameter of introducing, calculates feature others several
Data parameters needed for what size and formation knife rail.
Step S23, above-mentioned each parameter generates knife rail cutting route using above-mentioned each parameter.
Step S24, performs knife rail cutting route, completes required machining.
The similar product of other feature structures is modified or devised if there is drawing after programming
Etc. the situation that practical production status can be caused to change, or different knives are have selected in process of production
Tool, different processing modes, different cutting outputs etc., can directly to the (cutting of corresponding external parameter
Parameter) to modify, nc program just can significantly reduce the work of programming personnel with general
Intensity, shortens the Operational preparation cycle.
Additionally, in the present embodiment, if each parameter error of the cutting parameter mistake of input or formation knife rail
When, it is additionally included in the step of being reported to the police when generating the processor for selected feature.So,
If the parameter of mistake is provided with establishment or in changing program process or the tool-information of mistake is have input,
Program has in the process of implementation warning message appearance, to remind programming personnel or machine operation personnel timely
Corrected, it is to avoid the generation of produced on-site accident.
Embodiment two
The present embodiment also provides a kind of processing unit (plant), including figure input block, Database Unit, coordinate
Converting unit, alignment unit, memory element, PLC control machining cells.Figure input block is reading
The mode of pel reads the graph data of at least one two-dimentional drawing.Database Unit storage based on pel and
At least one model that dependent coordinate is set up.Alignment unit is calibrated by the model parameter and Model Matching being input into
The characteristic parameter of the model to be processed for obtaining.Memory element stores the parameter of model to be processed and makes PLC
Control machining cell processes object to be processed according to parameter.
According to a preferred implementation, device also includes coordinate transformation unit.Coordinate transformation unit is based on
The direction signs of drawings marked set up the three-dimensional system of coordinate of only table diagram unit position, with coordinate or function mark
Note primitive shapes and/or position, and/or the shape and position coordinateses of amendment pel.
As shown in figure 4, the schematic diagram of the processing unit (plant) for the present invention.
Figure, direction signs and other special marks on the two-dimentional drawing of figure input block scanning first
Know.It is determined that the direction signs of two-dimentional drawing, including radially mark, laterally mark and coordinates logo.According to
Direction signs set up three-dimensional coordinate system.The figure of two-dimentional drawing is divided into into some pels.Using seat
Mark or functional equation record place area of space, shape and the particular location of each pel.Storage is each
Graphic unit database in the data message of individual pel to Database Unit.Database Unit is also included according to figure
The graphic unit database of the type and coordinates regional classification storage pel of unit.
Figure, direction signs and other special marks on the two-dimentional drawing of figure input block reading second
Know.If second drawing and first drawing belong to approximately the same plane, figure is drawn with same ratio, then
The place of the pel on second drawing is recorded using the coordinate or functional equation of same three-dimensional system of coordinate
Area of space, shape and particular location.If second drawing belongs to different planes from first drawing,
Pel is recorded according to the coordinate or functional equation of corresponding coordinates regional.Other two dimension drawings adopt phase
Same mode reads.Coordinate transformation unit checks the coordinate of pel or functional equation labelling, and amendment has mistake
Poor labelling, so that the labelling of pel is more accurate, reduces the error that meta graph recognition forms afterwards figure together.
The Database Unit for including at least one model is set up based on pel and dependent coordinate.Database Unit
Including graphic unit database, model database, model parameter table and processing model parameter list.The present invention is also wrapped
Include model signal generating unit to be processed.As shown in figure 5, processing model signal generating unit includes：First obtains single
Unit 10, second acquisition unit 20, the 3rd acquiring unit 30 and the first creating unit 40.
First acquisition unit 10, for obtaining model parameter table, wherein, model parameter table is used to store right
The corresponding multiple modeling parameters of first processing model, wherein, multiple modeling parameters are to the first processing model
Multiple modeling parameters are performed and are stored in model parameter table after classification by the parameter being modeled.
Preferably, first acquisition unit 10 includes：First determining module, for determining the first processing mould
The type of the corresponding modeling parameters of type；Processing module, for according to the type of modeling parameters, to processing mould
The corresponding multiple modeling parameters of type perform classification and process, and obtain multiple modeling parameters groups；
First creation module, for creating model parameter table；And memory module, for by multiple modelings
Parameter group is stored into model parameter table.
Second acquisition unit 20, for obtaining the processing model parameter information of outside input.
3rd acquiring unit 30, for obtaining the corresponding multiple moulds of modeling parameters information in model parameter table
Shape parameter.
Preferably, the 3rd acquiring unit 30 includes：First acquisition module, for obtaining model parameter
Mapping relations in table between modeling parameters group；Second determining module, for according to mapping relations in model
The corresponding modeling parameters group of processing model parameter of outside input is determined in parameter list；And second obtain mould
Block, the corresponding model parameter group of the model parameter for obtaining outside input.
First creating unit 40, the modeling parameters for getting create the second processing model.
Preferably, first creating unit 40 includes：3rd acquisition module, for obtaining model parameter
The first parameter item in group, wherein, the first parameter item is the parameter in model parameter group；4th obtains mould
Block, for obtaining the first parameter of the first parameter item corresponding with the first parameter item, wherein, the first parameter item
First parameter is the parameter of the first parameter item；And second creation module, for according to the first parameter item
One parameter creates the second processing model.
The present embodiment obtains model parameter table by first acquisition unit 10, wherein, model parameter table is used
In storage multiple model parameters corresponding to the first processing model, wherein, multiple modeling parameters are to first
Multiple modeling parameters are performed after classification and are stored in model parameter table by the parameter that processing model is modeled
In.Second acquisition unit 20 obtains the processing model parameter information of outside input.3rd acquiring unit 30
The corresponding multiple modeling parameters of modeling parameters information are obtained in model parameter table.And first creating unit
40 modeling parameters for getting create the second processing model, solve and be based in prior art existing processing
The modeling parameters of model treat processing model and carry out the low problem for the treatment of effeciency of retrofiting.
After the second processing model is obtained, statistic unit counts each pel and is combined with each other combination together
Probability is simultaneously stored in probability database.Early warning is sent to the abnormal meta graph recognition of combined probability.Statistics is each
Individual pel is combined with each other combined probability together.And combined probability is divided into according to height not equal
Level.For example, the meta graph recognition by combined probability less than 1% is labeled as unusual combination.Statistics forms first
The probability of each meta graph recognition of processing model, provides alert to the meta graph recognition of unusual combination.Remind and use
The correctness of family manual confirmation meta graph recognition, to avoid the coordinate due to pel from slipping up the first of mistake is formed
Processing model.
Second processing model is model to be processed.Patrolling for model to be processed is previously stored with Database Unit
Collect data base.After model to be processed is formed, alignment unit calibrates model to be processed according to logical data base
Characteristic parameter.Whether alignment unit calculates the position of each characteristic parameter of model to be processed and figure
Meet the rule of logical data.For the characteristic parameter for not meeting logical laws is calibrated.Or, it is right
The coordinate of each pel in model to be processed is recalibrated.Counting should after model to be processed is formed
The characteristic parameter table of the formation.The characteristic parameter of model to be processed is compared according to characteristic parameter table.Will be with spy
Levy the characteristic parameter calibration correction that parameter list has error.If it was found that characteristic parameter is right with characteristic parameter table
Whether the error of the sample characteristics parameter answered then calculates characteristic parameter first outside normal range of error
Meet the rule of logical data.If not meeting the rule of logical data, early warning is sent, by manual correction
The characteristic parameter of mistake.Through the model to be processed of calibration process, error rate is lower.
The parameter of memory element model to be processed simultaneously processes object to be processed according to parameter.Specifically, it is based on
The characteristic parameter of model to be processed determines the feature machining region of object to be processed.PLC controls machining cell
Object to be processed is processed according to parameter.PLC control machining cell according to the characteristic parameter of model to be processed with
And the cutting parameter for being formed, calculating machine axial coordinate parameter.PLC controls machining cell according to product to be processed
The characteristic parameter of the material of product, the tool-information for being used and selection determines the cutting ginseng of the feature chosen
Number.Specifically, in the present embodiment, the characteristic parameter by choosing determines tool-information.Tool-information
At least include tool type, tool characteristics parameter and tool sharpening mode etc..
It is input characteristic parameter and cutting parameter that PLC controls machining cell according to input external parameter, is generated
For the processor of selected feature, the processing of selected feature is completed.Complete selected spy
The processing levied specifically includes following steps：
Step S21, introduces external parameter, that is, introduce outside geometric parameter and cutting parameter；
Step S22, by the outside geometric parameter and cutting parameter of introducing, calculates feature others several
Data parameters needed for what size and formation knife rail.
Step S23, above-mentioned each parameter generates knife rail cutting route using above-mentioned each parameter.
Step S24, performs knife rail cutting route, completes required machining.
Each step in PLC control machining cell monitoring processors, and gather in production process
The pressure of model to be processed, temperature parameter and its operating mode.According to operating mode and material, the situation of cutting tool
Adjustment pressure, temperature parameter so that the material of model to be processed does not deform, so as to reduce mould to be processed
Type error in process.
Specifically, PLC controls machining cell includes：
Input setup module, for selecting working cell on the touchscreen, compiles to each working cell
Number, while being each working cell setting position key point, wherein position key point bag according to number order
Include two or more location point；.Fieldbus module, for each job note of real-time collecting
The status information and/or solicited message of unit simultaneously send it to PLC, and wherein status information includes current
Location point, solicited message includes location point, the action executing information that request is entered；
PLC control modules, for being entered by the status information and/or solicited message to all working unit
Row analysis, judges the solicited message that whether can respond each working cell, the work if it can respond
Make unit to perform according to its solicited message, on the contrary then the working cell waits into predeterminated position.
Further, PLC control modules are specifically included：
Depositor module, for by fieldbus module by the status information of each working cell and/or
Solicited message is deposited into respectively in the depositor of different address, and general function is preset with each depositor
Instruction；
Decoding module, for by solution code instruction positioned at different address depositor in status information and
/ or solicited message decode and carry out and be sent to judgement module；
Judge module, for judge location point that the request of each working cell enters whether with other job notes
The location point that the current location point of unit and/or request are entered has conflict, if Lothrus apterus, the working cell
Perform its solicited message by calling the function command in its depositor, on the contrary then the working cell and and its
The working cell for clashing waits into predeterminated position and is simultaneously emitted by alarm.
Therefore, all parameters of the PLC controls machining cell monitoring processing model in mechanical processing process,
And according to Operating condition adjustment parameter sample and parameter, it is ensured that error of the processing model during processing
Rate reduce, so as to get processing model it is more accurate.
It should be noted that above-mentioned specific embodiment is exemplary, those skilled in the art can be at this
Various solutions are found out under the inspiration of disclosure of the invention content, and these solutions also belong to the present invention
Open scope and fall under the scope of the present invention.It will be understood by those skilled in the art that this
Bright description and its accompanying drawing are illustrative and not constitute limitations on claims.The protection of the present invention
Scope is limited by claim and its equivalent.
Claims (10)
1. a kind of processing method, it is characterised in that the processing method includes：
The graph data of at least one two-dimentional drawing is read in the way of to read pel；
The data base for including at least one model is set up based on the pel and dependent coordinate；
Calibrate the characteristic parameter of the model to be processed obtained by the model parameter being input into and Model Matching；
Store the parameter of the model to be processed and process the object to be processed according to the parameter.
2. processing method as claimed in claim 1, it is characterised in that it is described based on the pel and
Dependent coordinate sets up the method for the data base for including at least one model to be included：
Based on coordinate system by least one meta graph recognition be at least one first processing models；
To respectively be stored in the way of mapping with model to be processed by the model parameter of outside input；
Second processing model is formed based on model to be processed and at least one model parameter；
The second processing model is stored to model database.
3. processing method as claimed in claim 2, it is characterised in that the mode of the reading pel
Including：
The three-dimensional system of coordinate of only table diagram unit position is set up based on the direction signs of drawings marked；
With coordinate or function labelling primitive shapes and/or position；
The shape and position coordinateses of amendment pel.
4. processing method as claimed in claim 3, it is characterised in that the processing method includes：
Count each pel to be combined with each other combined probability together and store in probability database；
Early warning is sent to the abnormal meta graph recognition of the combined probability.
5. processing method as claimed in claim 3, it is characterised in that the processing method includes：
The feature machining region of object to be processed is determined based on the characteristic parameter of the model to be processed；
Cutting for feature is determined based on the material of object to be processed, the stage property information for being used and characteristic parameter
Cut parameter；
Generate the processor for selected feature to add based on input characteristic parameter and cutting parameter
Work object to be processed.
6. processing method as claimed in claim 5, it is characterised in that the processing method includes：
Calculate each toroidal function for the model to be processed that the pel is formed；
The toroidal function is converted to the mechanical axis coordinates of motion matched with processing unit (plant).
7. processing method as claimed in claim 2, it is characterised in that the direction signs of the drawing
Including radial direction mark, laterally mark, coordinates logo and proportional marking.
8. processing method as claimed in claim 7, it is characterised in that the data base also include according to
Classify according to the type and coordinates regional of pel and store the graphic unit database of the pel.
9. a kind of processing unit (plant), it is characterised in that including figure input block, Database Unit, school
Quasi- unit, memory element, PLC control machining cells,
The figure input block to read pel in the way of read the figure number of at least one two-dimentional drawing
According to；
At least one model that the Database Unit storage is set up based on the pel and dependent coordinate；
The model to be processed that the alignment unit calibration is obtained by the model parameter being input into and Model Matching
Characteristic parameter；
The memory element stores the parameter of the model to be processed and makes the PLC controls machining cell
The object to be processed is processed according to the parameter.
10. processing unit (plant) as claimed in claim 9, it is characterised in that described device also includes processing
Model signal generating unit, processing model signal generating unit include first acquisition unit, second acquisition unit, the 3rd
Acquiring unit and the first creating unit,
The first acquisition unit is added at least one meta graph recognition at least one first based on coordinate system
Work model；
The second acquisition unit is obtained by the model parameter of outside input；
3rd acquiring unit obtains model parameter to be processed；
The second acquisition unit and the 3rd acquiring unit by by the model parameter of outside input with treat
Processing model parameter is stored respectively in the way of mapping；
First creating unit creates second and processes based on model to be processed and at least one model parameter
Model；
The second processing model is stored to Database Unit.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510699986.0A CN106610622A (en) | 2015-10-24 | 2015-10-24 | Processing method |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510699986.0A CN106610622A (en) | 2015-10-24 | 2015-10-24 | Processing method |
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| CN106610622A true CN106610622A (en) | 2017-05-03 |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108907453A (en) * | 2018-08-03 | 2018-11-30 | 英诺激光科技股份有限公司 | A kind of laser processing analytical equipment and method with self-learning function |
| CN109732788A (en) * | 2019-02-27 | 2019-05-10 | 泉州华中科技大学智能制造研究院 | A method of utilizing saw blade processing stone material railing |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108907453A (en) * | 2018-08-03 | 2018-11-30 | 英诺激光科技股份有限公司 | A kind of laser processing analytical equipment and method with self-learning function |
| CN108907453B (en) * | 2018-08-03 | 2020-10-30 | 英诺激光科技股份有限公司 | Laser processing analysis device and method with self-learning function |
| CN109732788A (en) * | 2019-02-27 | 2019-05-10 | 泉州华中科技大学智能制造研究院 | A method of utilizing saw blade processing stone material railing |
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