CN104850068A - Complex production process intelligent modeling method - Google Patents
Complex production process intelligent modeling method Download PDFInfo
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- CN104850068A CN104850068A CN201410055332.XA CN201410055332A CN104850068A CN 104850068 A CN104850068 A CN 104850068A CN 201410055332 A CN201410055332 A CN 201410055332A CN 104850068 A CN104850068 A CN 104850068A
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- 238000004519 manufacturing process Methods 0.000 title claims abstract description 119
- 238000000034 method Methods 0.000 title claims abstract description 116
- 230000008569 process Effects 0.000 claims abstract description 74
- 238000012800 visualization Methods 0.000 claims abstract description 35
- 238000012545 processing Methods 0.000 claims abstract description 25
- 238000005516 engineering process Methods 0.000 claims abstract description 12
- 239000000463 material Substances 0.000 claims abstract description 5
- 230000000007 visual effect Effects 0.000 claims description 36
- 238000012217 deletion Methods 0.000 claims description 5
- 230000037430 deletion Effects 0.000 claims description 5
- 230000009466 transformation Effects 0.000 claims description 5
- 238000006243 chemical reaction Methods 0.000 claims description 4
- 238000012546 transfer Methods 0.000 claims description 4
- 238000003754 machining Methods 0.000 claims description 2
- 238000003860 storage Methods 0.000 abstract description 3
- 238000012544 monitoring process Methods 0.000 abstract description 2
- 230000000712 assembly Effects 0.000 abstract 1
- 238000000429 assembly Methods 0.000 abstract 1
- 238000010586 diagram Methods 0.000 description 6
- 230000008859 change Effects 0.000 description 3
- 239000002994 raw material Substances 0.000 description 3
- 238000007792 addition Methods 0.000 description 2
- 230000007704 transition Effects 0.000 description 2
- 241001269238 Data Species 0.000 description 1
- 238000003335 Production assurance Methods 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005538 encapsulation Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000004321 preservation Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000004904 shortening Methods 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Classifications
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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
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41865—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P80/00—Climate change mitigation technologies for sector-wide applications
- Y02P80/40—Minimising material used in manufacturing processes
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to a complex production process intelligent modeling method in the manufacturing industry; the intelligent modeling technology comprises two parts: product manufacturing process model visualization and visualization form intelligent building product manufacturing process modeling technology; the product manufacturing process model visualization comprises the following steps: reading a product physical storage model; building a product processing craft assembly; building a product assembly; building hinges between all assemblies; traversing all technical nodes, if certain craft needs other processing product, then building a visualization tree, a father node assembly and a craft assembly of the processing product, and the building process repeats the said steps. The visualization form intelligent building product manufacturing process modeling technology comprises the following steps: building a product visualization tree; verifying the visualization tree; traversing the visualization tree and forming the physical storage model. The complex production process intelligent modeling method is the main base for production scheduling, production monitoring, production tracking, and production early warning, thus improving product quality, reducing material consumption, optimizing production composition, and improving company market competitiveness.
Description
Technical field
The present invention relates to advanced manufacture and technical field of automation, in particular to the complicated processing such as streamline, mixed production line manufacturing, in complex process, the method for intelligent mode treatment product structural information is a kind of intelligent modeling method of complicated production manufacture process.
Background technology
Manufacturing industry occupies and manufactures status in national economy, and in the last 500 enterprise of the whole world, manufacturing enterprise has 208, accounts for 41.6%, and its operation revenue accounts for 44.7% of gross income.The state of development of process industry directly affects the economic base of country and the power of overall national strength.
For improving the market competitiveness of enterprise, improve enterprise automation level, processing and manufacturing enterprise more and more payes attention to informatization.ERP(Enterprise Resource Planning), MES(ManufacturingExecution System), APS(Advanced Planning and Scheduling) etc. infosystem solve enterprise problem from different aspects respectively, improve enterprise management, automatization level, product quality, reduce production cost, shorten the production cycle, prediction manufacturing schedule.The modeling of process of producing product is whole information system ground foundation, the good and bad degree direct influence other system performance of model.Process of producing product model is the basis realizing production run tracking, manufacturing schedule monitoring, the production schedule, production scheduling, production run early warning, be the key realizing the production automation and production assurance, its importance is more obvious in streamline processing and manufacturing industry.In the market competition of fierceness, single and unalterable product cannot be met the need of market, and processing and manufacturing enterprise, for ensureing that it can be on a good wicket in the market, must realize the customizable of product and can put out a new product fast.No matter customizable or the new product of product, the key elements such as raw material required in product structure, production run or material, process equipment, processing technical ability all need to redefine, the processing technology of product becomes increasingly complex simultaneously, required technique more and more (at least tens, hundreds of at most), more and more higher to the demand of raw material and resource, the generation of production processing and manufacturing procedural information and maintenance difficulties and cost increasing.The intelligent modeling of production manufacture process and optimization, improve the quality of products for enterprise, improves market competitiveness of enterprises, and reduce production and protect cost, the shortening construction cycle has extremely important value, is also the difficult problem being eager to solve.
From the above, the complicated production manufacture process model of product has very important significance for the informatization of enterprise, simultaneously because the variation of every profession and trade product structure causes manufacturing process model widely different, therefore need a kind of intelligent modeling method of effective complicated production manufacture process.
Summary of the invention
For the above-mentioned problems in the prior art, the present invention proposes a kind of intelligent modeling method of complicated production manufacture process.
The technical scheme that the present invention is adopted for achieving the above object is: a kind of intelligent modeling method of complicated production manufacture process, the physical store model comprising Product processing manufacture process changes to the transformation of visual logic model and visual logic model to physical store model, comprises the following steps:
Step 1: the manufacturing procedural abstraction of product is divided into two classes: physical store model P and logic Visualization Model L;
Step 2: according to step 1, is the set of records ends of a series of record composition by physical store Model Abstraction, is expressed as
wherein R
ifor record;
Step 3: according to step 1, by abstract for the logic Visualization Model L set being a series of node and link and forming, is expressed as
wherein M
ifor node, X
jfor link;
If physical store model changes to visual logic model, then perform step 4; If visual logic model changes to physical store model, then perform step 5;
Step 4: according to step 2 and step 3, definition physical store model is to the transfer process of visual logic model:
Described physical store model to the forward conversion relation of visual logic model: L=F (P), by R in physical store model
ithe M be mapped as in logic Visualization Model
i, by R
ibetween relationship map be X
j;
Described physical store model is to the visualization process of visual logic model: first realize all M
inode visual; Secondly according to the logical relation of link and node, the visual of all-links is realized;
Step 5: according to step 2 and step 3, definition visual logic model is to the transfer process of physical store model:
The reverse transformation relation of described physical store model and visual logic model:
by M in logic Visualization Model
ithe R be mapped as in physical store model
i, according to X
jto all R
iadjust.
Described record R
iproperty set be: { unique identification, product identification, order note identification, craft label, technique sequence number, manufacturing recourses/finished product mark, manufacturing recourses/finished product quantity, man-hour, front manufacturing time, rear manufacturing time, instruction type identifies, command identification, connected mode, instruction condition for validity, mobile minimum time, mobile maximum time, front technique }.
Described node M
itype comprise procedure-node type, product node type.
The logical relation of described link and node is defined as: θ=M
i∪ M
j(i, j) ∈ (1....n) (i ≠ j), wherein, M
irepresent source node, M
jrepresent destination node.
The property set of described process node is: { node unique identification, machining state, craft label, man-hour, front manufacturing time, rear manufacturing time, resource identification set, horizontal ordinate, ordinate, Z sequence, product identification, technique sequence number }.
The property set of described product node is: { node unique identification, product identification, horizontal ordinate, ordinate, Z sequence }.
The property set of described link is: and link unique identification, source node coordinate, destination node coordinate, source node identification, destination node identifies }.
Described process node is visual abstract to the processing technology of product, and existence form is self-defined control, comprises technique information and resource/material information, and user can Replacement procedure and resource.
Described product node is finished product information or needs processing and have the abstract of the semi-manufacture information of clear and definite process route, and existence form is self-defined control.
Also comprise: newly-built Node Events, i.e. newly-built process node event and newly-built product Node Events;
Or amendment Node Events, namely revise process node event, amendment product Node Events and link path amendment event;
Or deletion of node event, namely delete process node event, delete product Node Events and delete link event;
Or selection event comprises resource selection event, product information altering event and technique information altering event.
The present invention has the following advantages:
1. the information-based form of production manufacture process is automatically changeb to visual pattern, supports visualized operation.
2. visualized operation mode is provided, the modeling of production manufacture process can be realized with the form of " What You See Is What You Get ".
3. physical store model and the visual logic model of complicated production manufacture process can realize forward and reverse conversion, meet ISO9001:2000 standards system.
Accompanying drawing explanation
Fig. 1 is that physical store model of the present invention changes process flow diagram to visual logic model;
Fig. 2 is the visual enforcement illustration of the manufacturing process of product M1;
Fig. 3 is that visual logic model of the present invention changes process flow diagram to physical store model;
Fig. 4 is certain production manufacture process information of certain streamline processing and manufacturing enterprise.
Embodiment
Required raw material or material in any product of the manufacturing procedure definition of product and half-finished product structure and production run are the most important basic datas of the infosystem such as ERP, MES and APS in Modern Manufacturing Enterprise.
Below in conjunction with accompanying drawing, the present invention is described further.
Fig. 1 is that physical store model of the present invention changes process flow diagram to visual logic model.What this process flow diagram described is the transition process of physical store model to visual logic model, and input source is the product information of order, i.e. the final products node of Visualization Model.According to the manufacturing procedural information of product, form the process node queue of product according to the order of sequence.If certain technique needs other products, then form the process node queue of this product, and link to this process node, final this production manufacture process information visuallization that formed is set.
Fig. 2 is the manufacturing process visualization layout of product M1.This figure, according to the manufacturing process physical memory model (see table 1) of product M1, generates the visual layout of this product automatically.
Fig. 3 is that visual logic model of the present invention changes process flow diagram to physical store model.What this process flow diagram described is the transition process of visual logic model to physical store model, first Visualization Model is verified, when meeting verification, the queue of generating process assembly, physical store model blotter is mapped as by technique component queue, judge whether record exists, upgrade/increase newly into permanent recording is preserved.For the product used in process, then judged by chained record, if source is technique component, end is product component, then generate new physical store record.
The present invention is described in detail below for certain production manufacture process information of certain streamline processing and manufacturing enterprise.See Fig. 4.
1) this product M1(is represented to the product of a certain type) the physical store model of manufacturing process be described.
Table 1 describes the product structure of product M1.Product M1 needs 2 road processing technology P1 and P2.Use resource NC1 at technique P1 place, use resource NC2 at technique P2 place.Product M2 and M3 is used at technique P2 place.M2 needs one processing technology P3, uses resource NC3.M3 needs one processing technology P4, uses resource NC4.
Table 1
| Unique identification | Product identification | Operation identifies | Instruction type | Product/resource | Method of attachment | Operation sequence number |
| 0001 | M1 | P1 | M | NC1 | ES | 1 |
| 0002 | M1 | P2 | M | NC2 | ES | 2 |
| 0003 | M1 | P2 | IN | M2 | ES | 2 |
| 0004 | M2 | P3 | M | NC3 | ES | 1 |
| 0005 | M1 | P2 | IN | M3 | ES | 2 |
| 0006 | M3 | P4 | M | NC4 | ES | 1 |
2) visualization process of this production manufacture process is described.
In the visualization process of production manufacture process, the present invention only needs to determine product type.After determining product type, the visualization process then full automation of production manufacture process, mainly comprise the processing technology queue automatically identifying product, generate visualization component, automatically form the processing technology queue using product, generate visualization component, automatically identify trunk and limb, create the link associating, automatically create inter-module of trunk and limb, all component and link and adopt built-in algorithms to carry out layout (allowing manually to adjust).The visual number of product M1 as shown in Figure 2.
3) visualized operation of this production manufacture process is described.
The visualized operation of production manufacture process is defined as some Action Events by the present invention, is divided into 3 classes according to event type: assembly event, system event and business event.All visualization components (technique component, product component and chain joint assembly, canvas component etc.) exist with dynamic link library form.
Assembly event: be to mouse event, KeyEvent, pull, the encapsulation of the event such as template replacement, provide default treatment in assembly, support third party's expansion, user can pass through expansion interface, replaces or the response of amendment interface processes.
System event: the definition preservation of Visualization Model, amendment, deletion, event and the processing mode such as newly-built.The storage mode of built-in default visual model, the information such as memory location, user can be modified by configuration, does not support that third party expands.
Business event: definition affects event and the processing mode of physics memory model.Mainly comprise: process node additions and deletions change event, link altering event, the additions and deletions of product node change event, process node resource altering event, process node technique altering event, product node change of product event.
4) be converted to physical store model to logic Visualization Model to be described.
Visualization Model is converted to physical store model and mainly comprises the following steps:
√ defines Visualization Model.The invention provides tool box, comprise associated component, support pulling mode.Can define human-computer interaction interface user, preserve, revise and delete Visualization Model.
√ model conversion.The present invention only transforms for the Visualization Model meeting format transformation requirement.By built-in checking method, Visualization Model is verified, undesirable Visualization Model, provide error message prompting.
Claims (10)
1. an intelligent modeling method for complicated production manufacture process, is characterized in that, the physical store model comprising Product processing manufacture process changes to the transformation of visual logic model and visual logic model to physical store model, comprises the following steps:
Step 1: the manufacturing procedural abstraction of product is divided into two classes: physical store model P and logic Visualization Model L;
Step 2: according to step 1, is the set of records ends of a series of record composition by physical store Model Abstraction, is expressed as
wherein R
ifor record;
Step 3: according to step 1, by abstract for the logic Visualization Model L set being a series of node and link and forming, is expressed as
wherein M
ifor node, X
jfor link;
If physical store model changes to visual logic model, then perform step 4; If visual logic model changes to physical store model, then perform step 5;
Step 4: according to step 2 and step 3, definition physical store model is to the transfer process of visual logic model:
Described physical store model to the forward conversion relation of visual logic model: L=F (P), by R in physical store model
ithe M be mapped as in logic Visualization Model
i, by R
ibetween relationship map be X
j;
Described physical store model is to the visualization process of visual logic model: first realize all M
inode visual; Secondly according to the logical relation of link and node, the visual of all-links is realized;
Step 5: according to step 2 and step 3, definition visual logic model is to the transfer process of physical store model:
The reverse transformation relation of described physical store model and visual logic model:
by M in logic Visualization Model
ithe R be mapped as in physical store model
i, according to X
jto all R
iadjust.
2. the intelligent modeling method of a kind of complicated production manufacture process according to claim 1, is characterized in that, described record R
iproperty set be: { unique identification, product identification, order note identification, craft label, technique sequence number, manufacturing recourses/finished product mark, manufacturing recourses/finished product quantity, man-hour, front manufacturing time, rear manufacturing time, instruction type identifies, command identification, connected mode, instruction condition for validity, mobile minimum time, mobile maximum time, front technique }.
3. the intelligent modeling method of a kind of complicated production manufacture process according to claim 1, is characterized in that, described node M
itype comprise procedure-node type, product node type.
4. the intelligent modeling method of a kind of complicated production manufacture process according to claim 1, it is characterized in that, the logical relation of described link and node is defined as: θ=M
i∪ M
j(i, j) ∈ (1....n) (i ≠ j), wherein, M
irepresent source node, M
jrepresent destination node.
5. the intelligent modeling method of a kind of complicated production manufacture process according to claim 1, is characterized in that, the property set of described process node is: { node unique identification, machining state, craft label, man-hour, front manufacturing time, rear manufacturing time, resource identification set, horizontal ordinate, ordinate, Z sequence, product identification, technique sequence number }.
6. the intelligent modeling method of a kind of complicated production manufacture process according to claim 1, is characterized in that, the property set of described product node is: { node unique identification, product identification, horizontal ordinate, ordinate, Z sequence }.
7. the intelligent modeling method of a kind of complicated production manufacture process according to claim 1, is characterized in that, the property set of described link is: and link unique identification, source node coordinate, destination node coordinate, source node identification, destination node identifies }.
8. the intelligent modeling method of a kind of complicated production manufacture process according to claim 1, it is characterized in that, described process node is visual abstract to the processing technology of product, existence form is self-defined control, comprise technique information and resource/material information, user can Replacement procedure and resource.
9. the intelligent modeling method of a kind of complicated production manufacture process according to claim 1, is characterized in that, described product node is finished product information or needs processing and have the abstract of the semi-manufacture information of clear and definite process route, and existence form is self-defined control.
10. the intelligent modeling method of a kind of complicated production manufacture process according to claim 1, is characterized in that, also comprise: newly-built Node Events, i.e. newly-built process node event and newly-built product Node Events;
Or amendment Node Events, namely revise process node event, amendment product Node Events and link path amendment event;
Or deletion of node event, namely delete process node event, delete product Node Events and delete link event;
Or selection event comprises resource selection event, product information altering event and technique information altering event.
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| CN105467953A (en) * | 2015-11-11 | 2016-04-06 | 中国科学院软件研究所 | Knowledge representation facing industrial big data and automation application method thereof |
| CN107563606A (en) * | 2017-08-10 | 2018-01-09 | 北京工业大学 | A kind of electronic work order of Machine Manufacture digitlization workshop information transmission |
| CN108205454A (en) * | 2016-12-20 | 2018-06-26 | 中国科学院沈阳自动化研究所 | Data management automatic production of HTML page method and system based on Extensible template library |
| CN108501419A (en) * | 2018-04-09 | 2018-09-07 | 合肥万力轮胎有限公司 | Tire overall process intelligence manufacture new mode |
| CN109446654A (en) * | 2018-10-30 | 2019-03-08 | 宁夏力成电气集团有限公司 | A kind of processing method and device of distribution switchgear |
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| CN109446654A (en) * | 2018-10-30 | 2019-03-08 | 宁夏力成电气集团有限公司 | A kind of processing method and device of distribution switchgear |
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| CN104850068B (en) | 2017-04-05 |
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