CN105787229B - A kind of design of automatic production line and operation combined optimization method - Google Patents
A kind of design of automatic production line and operation combined optimization method Download PDFInfo
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- CN105787229B CN105787229B CN201610342540.7A CN201610342540A CN105787229B CN 105787229 B CN105787229 B CN 105787229B CN 201610342540 A CN201610342540 A CN 201610342540A CN 105787229 B CN105787229 B CN 105787229B
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- G06F30/00—Computer-aided design [CAD]
- G06F30/30—Circuit design
- G06F30/36—Circuit design at the analogue level
- G06F30/367—Design verification, e.g. using simulation, simulation program with integrated circuit emphasis [SPICE], direct methods or relaxation methods
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- G06F2119/18—Manufacturability analysis or optimisation for manufacturability
Abstract
The invention discloses a kind of design of automatic production line and operation combined optimization method, the optimization method includes：Step S1, obtains the design requirement information of the production line；Step S2, preliminary allocation plan is made to the production line according to the design requirement information；Step S3, the simulation model and algorithm engine of the production line are designed according to the allocation plan；Step S4, sets up the algorithm engine to the instruction path of the simulation model, sets up the simulation model to the information channel of the algorithm engine, is interacted so that the simulation model is realized with the algorithm engine；Step S5, receives the sample information of input, and the algorithm engine generates production ordering after performing, and the simulation model is run according to the production ordering, and operation result generation field data is fed back to the algorithm engine；Step S6, the operation result of the simulation model is analyzed, the algorithm engine and/or simulation model are optimized according to analysis result, step S5 is then performed, iteration operation between meeting the first preparatory condition backed off after random step S5 and step S6, performs step S7；Step S7, judges whether the scheme of the allocation plan meets the second preparatory condition, meets, then the placement scheme and/or intelligence for exporting the production line perform kernel；It is unsatisfactory for, then adjusts allocation plan, performs step S3.While can reducing the dependence to designer's experience by this method, the combined optimization method of design and operation is quickly and efficiently realized.
Description
Technical field
The invention belongs to technical field of automation in industry, and in particular to a kind of design of automatic production line is combined with operation
Optimize the method for layout.
Background technology
In order to promote industrialization and intelligent fusion, industry 4.0 is promoted to build, it is necessary to accelerate to promote Different Industries automation
With the intelligentized whole line construction of production.With the fast development of computer, intelligent manufacturing equipment and the communication technology, China's manufacturing industry
Demand to the whole line of automated production quickly design and reasonable implementation is increasingly urgent, how to make the design of production whole line quick rationally simultaneously
Can Effec-tive Function.The whole line of production of intellectually and automatically is, by integrated multiple automation equipments, to make reality between each equipment
Existing information and physical communication, and intelligentized command scheduling can be carried out on upper strata.The whole line energy Improving The Quality of Products of automated production,
Improve production efficiency and reduce recruitment number etc., the whole line of automated production has strong customized demand and industry dependence, specially
Machine equipment is closely related with technique, and intermediate equipment depends on the processing form and physical property in product, and whole line equipment must expire
The personalized plant layout's demand of foot and expected production capacity demand.How quickly to design and configure the efficient automation of reasonable, operation
It is problem of the pendulum in face of manufacturing enterprise with the intelligentized whole line of production.
Fig. 1 is traditional design method flow chart, is typically carried out by planning and designing personnel according to mathematical analysis and experience whole
Line is designed, and is had to designer's experience compared with strong dependency, on the basis of the Mathematical Models of foundation are assumed in part, it is impossible to
Fully react practical problem.In the complicated manufacture system of current operation of going into operation both at home and abroad, up to 60% because planning unreasonable initial stage
Or slip up and cause to be not reaching to the index being pre-designed.With the development and the application of Virtual Simulation of computer technology,
The planning and designing that virtual emulation design carries out production line by emulation platform turn into a kind of feasible and effective method：First by biography
System mode carries out initial designs to production line, is then relying on emulation platform to be modeled, and to design mould in simulation software
Whether type carries out simulating, verifying its design reasonable, finds out the problem of design there may be, then is designed the optimization of scheme,
To determine final design scheme.Existing virtual emulation design can be imitative using computer virtual compared with traditional design method
True technical modelling goes out the following three-dimensional layout of production line and running status, and can verify its reasonability in advance, can quickly realize certainly
Dynamic Design of Production Line and the important research instrument of planning.But whole line automation system is often typical discrete event manufacture system
System, its is in large scale and complicated, there are numerous enchancement factors, and being planned for actual motion from initial stage all has complicated decision-making
Problem, and Multiple Attribute Decision Problems are widely present the various aspects of production.It is difficult clear in Manufacturing System Design and optimization process
Clear determination destination object, and object function is difficult to be solved in conventional resolution mode so that design and implement all to be extremely difficult to
Expected effect.The relevant factor of system can organically be combined according to actual operation logic by simulation modeling,
The true behavior for reflecting system, but simulation model is only the directviewing description to problem, and simulation run can only provide certain condition
Under feasible program.
Therefore, the present invention proposes a kind of design of the automatic production line based on emulation and operation combined optimization method.
The content of the invention
It is contemplated that at least solving one of technical problem present in prior art.Therefore, the present invention proposes one kind certainly
The design of dynamic metaplasia producing line and operation combined optimization method, this method have the experience that designer is relied on without height, quickly
Ground efficiently finds the optimization layout of production line.
In order to realize the above object the invention provides a kind of design of automatic production line and operation combined optimization side
Method, this method includes：Step S1, obtains the design requirement information of the production line；Step S2, according to the design requirement information
Make preliminary allocation plan to the production line；Step S3, the simulation model of the production line is designed according to the allocation plan
And algorithm engine；Step S4, sets up the algorithm engine to the instruction path of the simulation model, sets up the simulation model and arrives
The information channel of the algorithm engine, is interacted so that the simulation model is realized with the algorithm engine；Step S5, receives input
Sample information, the algorithm engine generates production ordering after performing, and the simulation model is run according to the production ordering, and
Operation result generation field data is fed back to the algorithm engine；Step S6, is carried out to the operation result of the simulation model
Analysis, the algorithm engine and/or simulation model are optimized according to analysis result, then perform step S5, pre- until meeting first
If the iteration operation between condition backed off after random step S5 and step S6, performs step S7；Step S7, judges the allocation plan
Whether scheme meets the second preparatory condition, meets, then the placement scheme and/or intelligence for exporting the production line perform kernel；No
Meet, then adjust allocation plan, perform step S3.
Due to establishing the interaction between simulation model and algorithm engine, looked for by interactive iteration between the two
Optimal production line mode, with it is traditional simply by the analogy method for carrying out simple production line is manually entered compared with,
The defect that designer lacks experience can largely be compensate for；, can be rapidly by adjustment allocation plan repeatedly
Efficiently search out the layout method being adapted with production line.It should be noted that the second above-mentioned preparatory condition in itself can also
It is the set of a preparatory condition, can export one for each condition inside the set of preparatory condition meets the condition
Placement scheme and/or intelligence perform kernel, that is to say, that it is not single to export optimal solution, near-optimum solution can also be exported, so
Selection of the designer to placement scheme is just greatly facilitated.
According to one embodiment of present invention, before above-mentioned steps S2 is performed, it is preset with relative with the production line industry
The placement model answered, can select different placement models, with the basis of the placement model according to the design requirement information
On make preliminary allocation plan to the production line.
The placement model (mainly for the part of production line general character) corresponding with production line industry is preset with, so can be with
The work of designer's repeatability is reduced, while also reducing the probability of error, the time of modeling is improved.
According to one embodiment of present invention, designing the simulation model of the production line includes：Step S3.1, to the life
The equipment of producing line carries out three-dimensional modeling；Step S3.2, determines the moving part and not moving part, and set the moving part in the model
Motion mode；Step S3.3, sets up the control mode of the model, wherein, include collection and processing, the cloth of sensor of data
Put, the setting of control logic；Step S3.4, is assembled according to described preliminary allocation plan to the model.
According to another embodiment of the invention, designing the algorithm engine of the production line includes：Step S4.1, to described
The model of production line carries out mathematical modeling；Step S4.2, mathematical modeling is carried out to the motion process of the moving part；Step S4.3,
Optimized algorithm is formulated according to the mathematical modeling of foundation；Step S4.4, formulates and implements and dispatches the optimization according to the production line
The algorithm engine of algorithm.
Different with traditional method to be, present invention algorithm engine also to the running configuration of the model of production line is led to
Algorithm engine running optimizatin algorithm is crossed, so as to reach the purpose of the arrangement for making model and optimizing operating mode.
It is possible to further carry out clustering according to the degree of coupling between model, thus model partition into multiple moulds
Type group, and formulate the optimized algorithm corresponding with Model Group.
By first carrying out clustering to model, model partition is formulated optimized algorithm into multiple Model Groups, so may be used
Quickly to find more excellent placement scheme.
An alternative embodiment of the invention discloses the specific interactive mode between simulation model and algorithm engine.Receive defeated
The sample information entered, generation production ordering is stored in instruction database after the algorithm engine is performed, and the simulation model is real
When receive corresponding instruction in the instruction database, and perform respective action；The field data for collecting simulation model is stored in
In field data database, carry out after state analysis, feed back to the algorithm engine.
By being provided with intermediate database, i.e. instruction database and field data database, be so conducive to back looking into, find
Abnormal data point, is more beneficial for optimized algorithm engine and simulation model.
An alternative embodiment of the invention discloses specific optimization object, and the algorithm is optimized according to the analysis result
Engine includes the algorithm structure for optimizing the algorithm engine；Optimize the simulation model according to the analysis result to imitate including optimizing this
The configuration parameter of true mode.
According to one embodiment of present invention, first preparatory condition includes：Make the algorithm engine and simulation model
Reach the optimization of balance-type.
According to one embodiment of present invention, second preparatory condition includes：To the production line carry out adaptability and
Analysis on its rationality, and analysis result is made comparisons with pre-set level parameter.
The additional aspect and advantage of the present invention will be set forth in part in the description, and will partly become from the following description
Obtain substantially, or recognized by the practice of the present invention.
Brief description of the drawings
Fig. 1 is traditional design method flow chart；
Fig. 2 is the Outline Design figure of design method of the present invention；
Fig. 3 is the detailed design figure of design method of the present invention.
Embodiment
Embodiments of the invention are described below in detail, the example of the embodiment is shown in the drawings, wherein from beginning to end
Same or similar label represents same or similar element or the element with same or like function.Below with reference to attached
The embodiment of figure description is exemplary, it is intended to for explaining the present invention, and be not considered as limiting the invention.
Following disclosure provides many different embodiments or example is used for realizing the different structure of the present invention.For letter
Change disclosure of the invention, hereinafter the part and setting of specific examples are described.Certainly, they are only merely illustrative, and
Purpose does not lie in the limitation present invention.In addition, the present invention can in different examples repeat reference numerals and/or letter.It is this heavy
It is the relation between itself not indicating discussed various embodiments and/or setting for purposes of simplicity and clarity again.This
Outside, the invention provides various specific techniques and material example, but those of ordinary skill in the art can be appreciated that
The applicable property of other techniques and/or the use of other materials.
As shown in Figure 2,3, a kind of design of automatic production line and operation combined optimization method, this method is mainly supported whole
Quickly design is comprised the following steps that bar production line with performing iteration optimization, described method：
S1 is walked：Whole line design requirement information data is obtained, and the product of investigation production line processing simultaneously determines its processing technology
Path；Investigate process equipment and the productive temp of the process that the processing of each process needs；Investigate factory's actual field air-ground
Between and existing equipment specifying information；Production capacity that investigation factory planning production line requirement reaches etc..Need to obtain following
Details：Capacity requirements, factory floor, work flow, productive temp, the production schedule, Process Plans, process equipment etc.；
S2 is walked：Initial whole line allocation plan, tentatively quickly several Production Line Configureds are alternatively determined according to investigation information
Mode, or several layout type commonly used in the trade according to existing row are analyzed and summarized, it is determined that producing whole line preliminary placement side
Case is designed, including device resource configuration, whole line layout and processing route planning etc..1) resource distribution：What each process section needed sets
Standby and its quantity；2) processing route is planned：According to the processing route of product, the standard work force in each process, analysis production are determined
The corresponding process equipment of each technique of product is associated with the technique of operation；3) whole line layout：Added according to the factory floor space of enterprise, product
The production capacity that work process and wishing reaches, the equipment that come into operation to existing equipment, intermediate equipment and intending carries out rational space cloth
Office, physical interference analysis and logistics route planning, determine whole line layout.
The placement model corresponding with production line industry can be preset with, different cloth can be selected according to design requirement information
Office's model (the such as different placement model of In-put design require information Auto-matching), with right on the basis of the placement model
The production line makees preliminary allocation plan.The dependence to designer can be so reduced, basic error is reduced, cloth is improved
The efficiency of office.
S3 is walked：The static custom design of whole line, including whole line simulation model design are designed with whole line algorithm engine.
1) whole line simulation model design：
First, the threedimensional model of all devices is set up according to preliminary whole line allocation plan；Secondly, the moving part in model is determined
Moving part, does not plan the motion mode of active part；Then, the control program to whole line is designed, including data collection with
Processing, the design of the arrangement of sensor, control logic etc.；Finally, whole line cloth is carried out in simulation software according to whole line allocation plan
Office and assembling.
2) whole line algorithm engine design：
First, mathematical modeling is carried out to whole line according to preliminary whole line allocation plan；Secondly, mathematics is carried out to its motion process
Modeling；Then, the mathematical modeling set up according to each unit module, the intelligent optimization algorithm for researching and developing corresponding module is solved；
Finally, research and develop whole line to perform and dispatching algorithm engine, be used as the kernel of whole line production system.
S4, S5 are walked：The algorithm engine is set up to the instruction path of the simulation model, the simulation model is set up and arrives
The information channel of the algorithm engine, is interacted so that the simulation model is realized with the algorithm engine.Whole line is intelligently performed, main
With algorithm engine by instructing transmission and data acquisition to realize " instruction is descending " and " information upstream " when referring to simulation model operation
Dynamic interaction, simulation result is analyzed during Dynamic Execution, updates the optimized algorithm in algorithm engine and/or emulation
Configuration parameter in model.
1) instruction is descending, is simulated by input sample information (such as sample sequence information) into simulation software, algorithm
Sample order is converted into production ordering by enforcement engine, is stored in instruction database, according to the control in model during simulation run
Scheme processed and Lower level logical in instruction database receive corresponding instruction in real time, and perform respective action；
2) information upstream, by collecting the field data that the sensor of arrangement is gathered in real time in simulation model, carries out state
After analysis, algorithm performs engine apparatus instantaneous operating conditions are fed back to.
S6 is walked：" design-operation " Joint iteration optimizes, and passes through iterative the configuration parameter and intelligence for adjusting Static Design
The optimized algorithm of algorithm engine can be performed so that whole line simulation model and algorithm engine reaches the optimization of balance-type, here
The optimization of balance-type can make the cooperation of simulation model and algorithm engine reach the peak of production efficiency；It is pre- when meeting first
If after condition (optimization for reaching balance-type), the iteration operation exited between S5 and S6 down performs S7 steps.
S7 is walked：Statistical analysis, including Adaptability Analysis, analysis on its rationality are carried out to the effect that whole line dynamic and intelligent is performed
Deng, analysis result is made comparisons with pre-set level parameter, sees whether meet requirement, satisfaction then export whole line design and intelligence
Kernel is performed, is unsatisfactory for, then improves whole line layout design scheme, S3 steps are re-executed.By designing with performing (operation)
A kind of optimal whole line design can be not only obtained after combining the optimization that iterates, is intelligently performed while whole line can be formed
Kernel.
Due to needing iteratively to adjust the configuration parameter of simulation model and the algorithm structure of algorithm engine, then on the basis of this
Optimal layout is found, operand and resource requirement to system are very big, occupy this, the invention also provides one kind reduction
The method of system operations amount.This method is exactly after being modeled to simulation model, to be gathered according to the degree of coupling between model
Alanysis, so that model is divided into multiple Model Groups, reenacts the optimized algorithm corresponding with Model Group, thus equivalent to handle
Production line divide into many sub- production lines according to the size of the degree of coupling, and the allocation plan to sub- production line is made to optimize, due to simply
Make computing for sub- production line, operand can then be greatly reduced, and can be with concurrent operation, significantly between each sub- production line
Ground reduces the time of computing.
In the description of the invention, it is to be understood that term " " center ", " length ", " width ", " thickness ", " on ",
" under ", "front", "rear", "left", "right", " vertical ", " level ", " top ", " bottom ", " interior ", " outer ", " axial direction ", " radial direction ", " week
To " etc. instruction orientation or position relationship be based on orientation shown in the drawings or position relationship, be for only for ease of description this hair
Bright and simplified description, rather than instruction or the signified device of hint or element must be with specific orientation, with specific orientation
Construction and operation, therefore be not considered as limiting the invention.
In addition, term " first ", " second " are only used for describing purpose, and it is not intended that indicating or implying relative importance
Or the implicit quantity for indicating indicated technical characteristic.Thus, define " first ", the feature of " second " can express or
Implicitly include one or more this feature.In the description of the invention, " multiple " are meant that two or more,
Unless otherwise specifically defined.
In the present invention, unless otherwise clearly defined and limited, term " installation ", " connected ", " connection ", " fixation " etc.
Term should be interpreted broadly, for example, it may be fixedly connected or be detachably connected, or integrally；Can be that machinery connects
Connect or electrically connect, can also be communication；Can be joined directly together, can also be indirectly connected to by intermediary, can be with
It is connection or the interaction relationship of two elements of two element internals.For the ordinary skill in the art, may be used
To understand the concrete meaning of above-mentioned term in the present invention as the case may be.
In the present invention, unless otherwise clearly defined and limited, fisrt feature can be with "above" or "below" second feature
It is that the first and second features are directly contacted, or the first and second features pass through intermediary mediate contact.Moreover, fisrt feature exists
Second feature " on ", " top " and " above " but fisrt feature are directly over second feature or oblique upper, or be merely representative of
Fisrt feature level height is higher than second feature.Fisrt feature second feature " under ", " lower section " and " below " can be
One feature is immediately below second feature or obliquely downward, or is merely representative of fisrt feature level height less than second feature.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means to combine specific features, structure, material or the spy that the embodiment or example are described
Point is contained at least one embodiment of the present invention or example.In this manual, to the schematic representation of above-mentioned term not
Identical embodiment or example must be directed to.Moreover, specific features, structure, material or the feature of description can be with office
Combined in an appropriate manner in one or more embodiments or example.In addition, in the case of not conflicting, the skill of this area
Art personnel can be tied the not be the same as Example or the feature of example and non-be the same as Example or example described in this specification
Close and combine.
Although an embodiment of the present invention has been shown and described, it will be understood by those skilled in the art that：Not
In the case of departing from the principle and objective of the present invention a variety of change, modification, replacement and modification can be carried out to these embodiments, this
The scope of invention is limited by claim and its equivalent.
Claims (9)
1. a kind of design of automatic production line and operation combined optimization method, it is characterised in that including：
Step S1, obtains the design requirement information of the production line；
Step S2, preliminary allocation plan is made to the production line according to the design requirement information；
Step S3, the simulation model and algorithm engine of the production line are designed according to the allocation plan；
Step S4, sets up the algorithm engine to the instruction path of the simulation model, sets up the simulation model and is calculated to described
The information channel of method engine, is interacted so that the simulation model is realized with the algorithm engine；
Step S5, receives the sample information of input, and the algorithm engine generates production ordering after performing, the simulation model according to
The production ordering operation, and operation result generation field data is fed back to the algorithm engine；
Step S6, is analyzed the operation result of the simulation model, according to analysis result optimize the algorithm engine and/or
Simulation model, then performs step S5, the iteration fortune between meeting the first preparatory condition backed off after random step S5 and step S6
OK, step S7 is performed；
Step S7, judges whether the scheme of the allocation plan meets the second preparatory condition, meets, then exports the production line
Placement scheme and/or intelligence perform kernel；It is unsatisfactory for, then adjusts allocation plan, performs step S3.
2. the design of automatic production line according to claim 1 and operation combined optimization method, it is characterised in that perform
Before the step S2, the placement model corresponding with the production line industry is preset with, can be selected according to the design requirement information
Different placement models are selected, to make preliminary allocation plan to the production line on the basis of the placement model.
3. the design of automatic production line according to claim 1 and operation combined optimization method, it is characterised in that design
The simulation model of the production line includes：
Step S3.1, the equipment to the production line carries out three-dimensional modeling；
Step S3.2, determines the moving part and not moving part, and set the motion mode of the moving part in model；
Step S3.3, sets up the control mode of the model, wherein, include the collection and processing, the arrangement of sensor, control of data
The setting of logic processed；
Step S3.4, is assembled according to described preliminary allocation plan to the model.
4. the design of automatic production line according to claim 3 and operation combined optimization method, it is characterised in that design
The algorithm engine of the production line includes：
Step S4.1, mathematical modeling is carried out to the model of the production line；
Step S4.2, mathematical modeling is carried out to the motion process of the moving part；
Step S4.3, optimized algorithm is formulated according to the mathematical modeling of foundation；
Step S4.4, formulates and implements and dispatches the algorithm engine of the optimized algorithm according to the production line.
5. according to the design and operation combined optimization method of the automatic production line described in claim 4, it is characterised in that according to institute
State the degree of coupling between model and carry out clustering, so that the model partition, into multiple Model Groups, and is formulated and the Model Group
Corresponding optimized algorithm.
6. the design of automatic production line according to claim 1 and operation combined optimization method, it is characterised in that receive
The sample information of input, generation production ordering is stored in instruction database after the algorithm engine is performed, the simulation model
Corresponding instruction is received in real time in the instruction database, and performs respective action；Collect the field data storage of simulation model
At the scene in information database, carry out after state analysis, feed back to the algorithm engine.
7. the design of automatic production line according to claim 1 and operation combined optimization method, it is characterised in that according to
The analysis result, which optimizes the algorithm engine, to be included optimizing the algorithm structure of the algorithm engine；It is excellent according to the analysis result
Change the configuration parameter that the simulation model includes optimizing the simulation model.
8. the design of automatic production line according to claim 1 and operation combined optimization method, it is characterised in that described
First preparatory condition includes：The algorithm engine and simulation model is set to reach the optimization of balance-type.
9. the design of automatic production line according to claim 1 and operation combined optimization method, it is characterised in that described
Second preparatory condition includes：Adaptability and analysis on its rationality are carried out to the production line, and analysis result and pre-set level are joined
Number is made comparisons.
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| CN107832497B (en) | 2017-10-17 | 2018-08-28 | 广东工业大学 | A kind of intelligence workshop fast custom design method and system |
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