CN110175803A - A kind of automation managing and control system Virtual Debugging system and method based on logistics simulation - Google Patents
A kind of automation managing and control system Virtual Debugging system and method based on logistics simulation Download PDFInfo
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- CN110175803A CN110175803A CN201910445071.5A CN201910445071A CN110175803A CN 110175803 A CN110175803 A CN 110175803A CN 201910445071 A CN201910445071 A CN 201910445071A CN 110175803 A CN110175803 A CN 110175803A
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Abstract
The present invention provides a kind of automation managing and control system Virtual Debugging system and method based on logistics simulation, system includes: parameter collection module, for obtaining the technological action process and processing parameter of unestablished production site operation according to the design scheme pre-established;Managing and control system, for carrying out Production scheduling management and control to production site operation;Logistics simulation module is established and the consistent material flow simulation of production site operation for the technological action process and processing parameter according to acquisition;Communication module, for the data communication between logistics simulation module and automation managing and control system;The present invention can not also be built up in actual job scene or field adjustable limited situation under Virtual Debugging automation managing and control system, the field adjustable time is greatly shortened;It, can also real-time output operation index and be predicted operation performance and index as a result, statistically analyze field operation situation by the display scene operation of simulation model real-time virtual, and in simulation model after automation managing and control system puts into effect.
Description
Technical field
The present invention relates to electronic field more particularly to a kind of automation managing and control system Virtual Debugging systems based on logistics simulation
System and method.
Background technique
With the development of society, the increasingly raising of human cost, more and more enterprises need to reduce production cost, improve
Enterprise competitiveness automates managing and control system and has obtained more applications and popularization under the pressure of such demand, meanwhile, with technology
Continuous maturation, " unmanned " also become irreversible epoch trend, unmanned factory, unmanned warehouse, unmanned stock ground, unmanned port
Mouth etc. is taken advantage of a situation and is given birth to.Automation managing and control system has been widely used in the every field of human society.
But existing automation managing and control system controls " unmanned " operation field at present, implements in automation projects
In the process, automation managing and control system constantly need to could deliver online use after debugging is stablized by very long scene.But scene is adjusted
Examination is limited to production scene construction performance, and only production scene construction is completed, equipment could start to automate in place comprehensively
Managing and control system debugging.Current automation managing and control system can no longer meet the demand of enterprise's production, continue a kind of new technology
Means can be not only restricted to generate whether scene builds completion, can not also build up in actual job scene or field adjustable is limited
In the case of Virtual Debugging automate managing and control system, shorten the field adjustable time.
Summary of the invention
In view of the foregoing deficiencies of prior art, the present invention provides a kind of automation managing and control system based on logistics simulation
Virtual Debugging system and method, to solve the above technical problems.
Automation managing and control system Virtual Debugging system provided by the invention based on logistics simulation, comprising:
Parameter collection module, the technique for obtaining unestablished production site operation according to the design scheme pre-established
Motion flow and processing parameter;
Managing and control system, for carrying out Production scheduling management and control to production site operation;
Logistics simulation module, for the technological action process and processing parameter according to acquisition, after establishing and building up
The consistent material flow simulation of production site operation;
Communication module is connect with managing and control system and logistics simulation module respectively, is used for logistics simulation module and managing and control system
Between data communication;
The managing and control system obtains the job information of virtual field in logistics simulation module, managing and control system by communication module
Job control directive is issued, logistics simulation module executes the job control directive and carries out operation and feed back, and completes managing and control system
Virtual Debugging.
Optionally, the logistics simulation module includes
Material flow simulation, and
Instruction resolution unit is established between the job control directive and operation behaviour for pre-defining operation behaviour
Mapping relations, and instruction parsing is carried out to job control directive, obtains corresponding operation behaviour;
Driving unit, for executing the operation behaviour according to the job control directive;
Display unit when executing the operation behaviour, passes through display unit Three-Dimensional Dynamic virtual display field operation situation;
Quality assessment unit, for exporting the index of evaluable operating efficiency according to logistics trend, device action, by defeated
Index judges the reasonability of the correctness of job control directive, the integrity of process flow and scheduling out.
Optionally, further includes:
Monitoring module, for monitor the logistics simulation module virtual field real time job information and scene it is real-time
Job information.
It optionally, further include statistical forecast module, when system is in operation stage, the managing and control system receives scene
Real time job information, and the real time job information real-time synchronization at scene is passed through into the statistical forecast mould to logistics simulation module
Block progress field operation situation is for statistical analysis and predicts.
The automation managing and control system Virtual Debugging method based on logistics simulation that the present invention also provides a kind of, comprising:
The technological action process and production work of unestablished production site operation are obtained according to the design scheme pre-established
Skill parameter;
According to the technological action process and processing parameter of acquisition, the production site operation after establishing and building up is consistent
Material flow simulation;
Managing and control system obtains the job information of virtual field in logistics simulation module, issues job control directive;
Material flow simulation executes the job control directive and carries out operation and feed back, and completes to carry out production site operation
The Virtual Debugging managed and controlled.
Optionally, operation behaviour is pre-defined, the mapping relations between the job control directive and operation behaviour are established;
Instruction parsing is carried out to received job control directive, obtains corresponding operation behaviour;
It drives the material flow simulation to execute corresponding operation behaviour, and implementing result is fed back;
Export the index of evaluable operating efficiency;
The correctness of job control directive, the reasonability of the integrity of process flow and scheduling are judged according to the index.
Optionally, the real time job information of virtual field in material flow simulation is monitored;
Information and device action output information are moved towards according to the real time job acquisition of information logistics.
Optionally, when system is in operation stage, the real time job information of monitoring site, managing and control system is according to scene
Real time job information generates job control directive, and issues field device execution, and the real time job information at scene is same in real time
Step is to material flow simulation, the real-time virtual display scene operation in material flow simulation, and, field operation situation is carried out
Statistical analysis and prediction.
The present invention also provides a kind of computer readable storage mediums, are stored thereon with computer program, and the program is processed
Any of the above-described the method is realized when device executes.
The present invention also provides a kind of servers, comprising: processor and memory;
The memory is used to execute the computer of the memory storage for storing computer program, the processor
Program, so that the terminal executes such as any of the above-described the method.
Beneficial effects of the present invention: automation managing and control system Virtual Debugging system based on logistics simulation in the present invention and
Method, can not also be built up in actual job scene or field adjustable limited situation under Virtual Debugging automation managing and control system, such as
Whether test macro control instruction basis wrong (format, INFORMATION OF INCOMPLETE etc.), test macro process flow perfect, test macro
Whether scheduling of resource is reasonable, whether test control system conflict-solving strategy is effective, shortens the field adjustable time;It is managed in automation
, can be by the display scene operation of simulation model real-time virtual after control system puts into effect, output is made in real time in simulation model
Industry index is as a result, for statisticalling analyze field operation situation.
Detailed description of the invention
Fig. 1 is the structural representation of the automation managing and control system Virtual Debugging system in the embodiment of the present invention based on logistics simulation
Figure.
Fig. 2 is the process signal of the automation managing and control system Virtual Debugging method in the embodiment of the present invention based on logistics simulation
Figure.
Fig. 3 is the communication mode of the automation managing and control system Virtual Debugging method in the embodiment of the present invention based on logistics simulation
Flow diagram.
Fig. 4 is the disparity items of the automation managing and control system Virtual Debugging method in the embodiment of the present invention based on logistics simulation
Phase data interacts schematic diagram.
Specific embodiment
Illustrate embodiments of the present invention below by way of specific specific example, those skilled in the art can be by this specification
Other advantages and efficacy of the present invention can be easily understood for disclosed content.The present invention can also pass through in addition different specific realities
The mode of applying is embodied or practiced, the various details in this specification can also based on different viewpoints and application, without departing from
Various modifications or alterations are carried out under spirit of the invention.It should be noted that in the absence of conflict, following embodiment and implementation
Feature in example can be combined with each other.
It should be noted that illustrating the basic structure that only the invention is illustrated in a schematic way provided in following embodiment
Think, only shown in schema then with related component in the present invention rather than component count, shape and size when according to actual implementation
Draw, when actual implementation kenel, quantity and the ratio of each component can arbitrarily change for one kind, and its assembly layout kenel
It is likely more complexity.
In the following description, a large amount of details have been inquired into, to provide the more thorough explanation to the embodiment of the present invention, however,
It will be understood by those skilled in the art that it is aobvious and easy for may be practiced without these specific details the embodiment of the present invention
See, in other embodiments, well known structure and equipment is shown in block form an rather than in the form of details, with
It avoids making the embodiment of the present invention indigestion.
As shown in Figure 1, the automation managing and control system Virtual Debugging system based on logistics simulation in the present embodiment, comprising:
Parameter collection module, for acquiring the work of unestablished production site operation according to the design scheme pre-established
Skill motion flow and processing parameter;
Managing and control system, for being managed and controlling to production site operation;
Logistics simulation module, for the technological action process and processing parameter according to acquisition, foundation and production scene
The consistent material flow simulation of operation;
Communication module is connect with managing and control system and logistics simulation module respectively, is managed for logistics simulation module and automation
Data communication between control system;
In the present embodiment, managing and control system is mainly for the production of management and running and control, such as in field of metallurgy, nobody
The warehouse management system of change, Molten Iron Transportation unmanned train control system, based on AGV (Automated Guided Vehicle, from
Dynamic guide transport lorry) the relevant field of default logistics such as control system, in actual production process, some projects need soft
Scleroma is closed, and the carrying process of hardware is limited to the various factors such as duration, can bring uncertainty, and software-based control is
System, is that must rely on hardware platform, in the case where hardware platform is not completed, cannot also carry out corresponding system function
Debugging, substantially prolongs production time, and the managing and control system in the present embodiment is obtained empty in logistics simulation module by communication module
Intend the job information at scene, managing and control system issues job control directive, logistics simulation module execute the job control directive into
Row operation is simultaneously fed back, and Virtual Debugging is completed.Through this embodiment, it can be not only restricted to generate whether scene builds completion, it can be
Actual job scene do not build up also or field adjustable limited situation under Virtual Debugging automation managing and control system, shorten field adjustable when
Between.
In the present embodiment, managing and control system, can be according to production technology and control policy control production site operation, logistics
Simulation model is the 3D digital model for the production scene that managing and control system is controlled;Communication module is responsible for managing and control system and logistics
Instruction format conversion and communication between simulation model.
In the present embodiment, logistics simulation module includes simulation model, and instruction resolution unit, is used for customized work
Industry behavior, and establish the mapping relations between the job control directive and operation behaviour;Driving unit, for according to the work
Industry control instruction executes the operation behaviour, can be according to production scene technological action process and life by instructing resolution unit
Production. art parameter defines managing and control system in material flow simulation and instructs corresponding behavior, and communication module can be used logistics simulation soft
The communication interface or software secondary development interface that part provides are with TCP Socket communication mode exploitation material flow simulation and automatically
Change the communication module between managing and control system.
In the present embodiment, when the scene construction of generation does not complete, pass through in the Virtual Debugging stage in this stage
Operation managing and control system and material flow simulation, managing and control system obtain production site operation information from material flow simulation, give object
Flow simulation model send job instruction, driving simulation model movement, simulation model receive or fulfil assignment instruction after will complete
Information feeds back to managing and control system.Logistics trend, device action in material flow simulation are observed, the finger of evaluable operating efficiency is exported
It marks, job instruction basis is wrong, process flow is not perfect, scheduling of resource is unreasonable in preliminary latch automation managing and control system, adjusts
It is invalid etc. to spend conflict-solving strategy.Preferably, the real-time of the virtual field of logistics simulation module can by monitoring module, be monitored
Job information and the real time job information for generating scene can according to logistics trend, device action output by quality assessment unit
The index of evaluating operation efficiency, and the index is evaluated.
In the present embodiment, generate scene construction after the completion of, be in operation stage, in this stage, managing and control system from
Production site operation information is obtained in production scene, is sent job instruction simultaneously to material flow simulation and production scene, is driven
Simulation model and production scene movement, production scene receive or fulfil assignment instruction after by complete information feed back to control system
System.Logistics trend, device action and scene are almost the same in material flow simulation at this time, carry out real-time virtual by display unit
The index that display scene operation exports evaluable operating efficiency passes through statistical forecast mould for statisticalling analyze field operation situation
Block progress field operation situation is for statistical analysis and predicts
As shown in Fig. 2, correspondingly, the present embodiment also provides a kind of automation managing and control system based on logistics simulation virtually adjusts
Method for testing, comprising:
Acquire the technological action process and processing parameter of unestablished production site operation in design scheme;
According to the technological action process and processing parameter of acquisition, establish and the consistent logistics simulation of production site operation
Model;
The job information for obtaining virtual field in logistics simulation module, issues job control directive;
Material flow simulation executes the job control directive and carries out operation and feed back, and completes to carry out production site operation
The Virtual Debugging managed and controlled.
In the present embodiment, operation behaviour is pre-defined, and is established between the job control directive and operation behaviour
Mapping relations;Instruction parsing is carried out to received job control directive, obtains corresponding operation behaviour;Drive the logistics simulation
Model executes corresponding operation behaviour, and implementing result is fed back.For example, the managing and control system in " nobody " warehouse of steel roll is (empty
In quasi- debug-item, warehouse of steel roll material flow simulation includes warehouse compartment, overhead traveling crane, crosses across trolley, tilting gear, train etc., simulation model
Middle device parameter, layout are all consistent with scene.The managing and control system of " nobody " warehouse of steel roll is handed down in warehouse of steel roll different objects
Job instruction include: overhead traveling crane job instruction, straddle carrier job instruction, walking beam action command, turn over cylinder machine action command etc..Cause
Behavior corresponding to each job instruction is defined in this warehouse of steel roll material flow simulation: being hung volume, is unreeled, advances, retreating, double steel
Deng by driving to all signals, acquisition, fictionalizing the complete action chain of production scene, complete outbound, storage, warehouse compartment
The scheduling operations such as distribution.
In the present embodiment, when system is in the Virtual Debugging stage, the reality of virtual field in material flow simulation is monitored
When job information;Information and device action output information are moved towards according to the real time job acquisition of information logistics;Output is evaluable
The index of operating efficiency;The correctness of job control directive, the integrity of process flow and scheduling are judged according to the index
Reasonability.When system is in operation stage, the real time job information of monitoring site, and the real time job information at scene is real-time
It is synchronized to material flow simulation, real-time virtual displaying is carried out to the virtual field in material flow simulation, and to field operation feelings
Condition is for statistical analysis and predicts, since there is timing to pass through for the operation behaviour taken a long time for actual production operation
Managing and control system and material flow simulation can carry out virtual execution, the problems in operation process be found in advance, to the result of production
Look-ahead is carried out, there is the operation to check erroneous ideas at the outset.Under the support of managing and control system, it can also be carried out by managing and control system virtual
Plan is specified, then is virtually carried out by material flow simulation, for example, carrying out virtual production scene work according to preset parameter
Industry simulation, then matched with the scheduled duration, judge the feasibility of multiple production plans, passes through the production knot of virtual field
Fruit carries out laterally comparing analysis, is the selection of optimal production plan, provides data basis, production operation is made more to have section
Learn property, it is perspective.
Below by taking the Virtual Debugging of the managing and control system of " nobody " warehouse of steel roll as an example, it is further described:
S1: it according to managing and control system Virtual Debugging demand, is built in logistics simulation module and the consistent logistics in production scene
Simulation model.
In such as managing and control system Virtual Debugging project of " nobody " warehouse of steel roll, warehouse of steel roll material flow simulation includes warehouse compartment, day
Vehicle is crossed across trolley, tilting gear, train etc., and device parameter, layout are all consistent with scene in simulation model.
S2: according to production scene technological action process and processing parameter, the definition control system in material flow simulation
System instructs corresponding behavior.Managing and control system is the brain of material flow simulation, and material flow simulation is according under automation managing and control system
The instruction action of hair, and feedback information is to managing and control system.The managing and control system of " nobody " warehouse of steel roll is handed down in warehouse of steel roll different right
The job instruction of elephant includes: overhead traveling crane job instruction, straddle carrier job instruction, walking beam action command, turns over cylinder machine action command etc..
Therefore behavior corresponding to each job instruction is defined in warehouse of steel roll material flow simulation: hanging volume, unreel, advance, retreating, double steel
Deng.
S3: the communication interface or second development interface provided using material flow simulation develops object with socket communication mode
It flows simulation model and automates the communication between managing and control system.During two-way communication, managing and control system is server-side, logistics simulation
Model is client.
Communication module can also be realized by way of secondary development DLL dynamic link library.DLL dynamic link library is realized
Function is as shown in Figure 3: logistics simulation module is after running simulation model, the communication control of the automatic communication module for calling secondary development
Correlation function processed starts communication module data-transformation facility, loads instruction format configuration file, and in a manner of TCP Socket
It is attached with automation managing and control system;Then, managing and control system sends job instruction to communication module, and communication module is receiving
Job instruction, and after job instruction is parsed into object format job instruction according to predefined format, it is then forwarded to logistics simulation
Module, to driving simulation model operation.Meanwhile after the completion of model operation, logistics simulation module can generate feedback information, and
Communication module can search this feedback information, and by it to be packaged with according to predefined format, finally pass through TCP again
Socket is by this instruction feedback to managing and control system, to inform the handling situations of material flow simulation.
S4: the Virtual Debugging stage runs managing and control system and material flow simulation, from managing and control system from material flow simulation
Production site operation information is obtained, sends job instruction, the movement of driving simulation model to material flow simulation, simulation model receives
To or the instruction that fulfils assignment after will complete information and feed back to automation managing and control system, observe logistics trend in material flow simulation,
Device action, exports evaluable operational indicator, and preliminary latch automates job instruction basis mistake, process flow in managing and control system
It is not perfect, scheduling of resource is unreasonable, scheduling conflict resolution policy is invalid etc..
In the managing and control system Virtual Debugging project of " nobody " warehouse of steel roll, when coil of strip enters managing and control system control by walking beam
When in range processed, coil of strip information on walking beam is sent to warehouse management system, warehouse management system by communication module by material flow simulation
Coil of strip next step work flow is judged according to coil of strip information, and issues job instruction.If coil of strip needs to be put in storage, overhead traveling crane tune is sent
Volume unreels instruction to material flow simulation, triggers overhead traveling crane operation in simulation model.After overhead traveling crane completes required movement in simulation model,
Feedback action performance.Automation managing and control system issues new job instruction according to material flow simulation feedback information." nothing
The managing and control system Virtual Debugging of people " warehouse of steel roll can find job instruction basis mistake, the not perfect point of integrated process flow, day in advance
Unreasonable point etc. is dispatched in vehicle collision prevention.
S5: operation stage runs managing and control system and material flow simulation, and it is existing that managing and control system obtains production from upper production scene
Field job information sends job instruction to material flow simulation and production scene simultaneously, and driving simulation model and production scene are dynamic
Make, production scene receive or fulfil assignment instruction after by complete information feed back to automation managing and control system.Logistics simulation at this time
Logistics trend, device action and scene are almost the same in model, reach the effect of real-time dynamic 3 D virtual display field operation
Fruit.Operation phase is different from the Virtual Debugging stage, and managing and control system obtains information from production scene, and material flow simulation is no longer anti-
Feedforward information is to warehouse management system, as shown in Figure 4.
The present embodiment also provides a kind of computer readable storage medium, is stored thereon with computer program, which is located
Reason device realizes any one of the present embodiment method when executing.
The present embodiment also provides a kind of server, comprising: processor and memory;
The memory is used to execute the computer of the memory storage for storing computer program, the processor
Program, so that the terminal executes any one of the present embodiment method.
Computer readable storage medium in the present embodiment, those of ordinary skill in the art will appreciate that: it realizes above-mentioned each
The all or part of the steps of embodiment of the method can be completed by the relevant hardware of computer program.Computer program above-mentioned
It can be stored in a computer readable storage medium.The program when being executed, executes the step including above-mentioned each method embodiment
Suddenly;And storage medium above-mentioned includes: the various media that can store program code such as ROM, RAM, magnetic or disk.
Server provided in this embodiment, including processor, memory, transceiver and communication interface, memory and communication
Interface connect with processor and transceiver and completes mutual communication, and memory is for storing computer program, communication interface
For being communicated, processor and transceiver make server execute each step of method as above for running computer program.
In the present embodiment, memory may include random access memory (Random Access Memory, abbreviation
RAM), it is also possible to further include nonvolatile memory (non-volatile memory), for example, at least a magnetic disk storage.
Above-mentioned processor can be general processor, including central processing unit (Central Processing Unit,
Abbreviation CPU), network processing unit (Network Processor, abbreviation NP) etc.;It can also be digital signal processor
(Digital Signal Processing, abbreviation DSP), specific integrated circuit (Application Specific
Integrated Circuit, abbreviation ASIC), field programmable gate array (Field-Programmable Gate Array,
Abbreviation FPGA) either other programmable logic device, discrete gate or transistor logic, discrete hardware components.
In the respective figure of above-described embodiment, connecting line can indicate the connection relationship between all parts, to indicate
More signal path (constituent_signal path) and/or one or more ends of some lines of constituting have arrow
Head, with indicate main information flow to, connecting line is as a kind of mark, not instead of to the limitation of scheme itself, in conjunction with one or
Multiple example embodiments facilitate more easily to connect circuit or logic unit using these lines, any representative signal (by
Design requirement or preference are determined) can actually include can any one direction transmit and can be with any appropriate
One or more signals that the signaling plan of type is realized.
In the above-described embodiments, specification is to " the present embodiment ", " embodiment ", " another embodiment " or " other implementations
Example " refer to a particular feature, structure, or characteristic that expression is described in conjunction with the embodiments include at least some embodiments, but need not
It is whole embodiments.Being not necessarily all referring to for identical occur in " the present embodiment ", " embodiment ", the multiple of " another embodiment "
Embodiment.If specification describe component, feature, structure or characteristic " can with ", " perhaps " or " can " included, should
Particular elements, feature, structure or characteristic " can with ", " perhaps " or " can " included, then the particular elements, feature, structure or
Characteristic is not required.If specification or claim refer to " one " element, not indicate only have an element.Such as
Fruit specification or claim refer to " one is other " element, it is not excluded that there are more than one other element.
In the above-described embodiments, although having been incorporated with specific embodiments of the present invention, invention has been described,
It is the description according to front, many replacements of these embodiments, modification and variation will be for those of ordinary skills
Obviously.For example, discussed embodiment can be used in other storage organizations (for example, dynamic ram (DRAM)).The present invention
Embodiment be intended to cover fall into all such replacements within the broad range of appended claims, modifications and variations.
The present invention can be used in numerous general or special purpose computing system environments or configuration.Such as: personal computer, service
Device computer, handheld device or portable device, laptop device, multicomputer system, microprocessor-based system, top set
Box, programmable consumer-elcetronics devices, network PC, minicomputer, mainframe computer, including any of the above system or equipment
Distributed computing environment etc..
The present invention can describe in the general context of computer-executable instructions executed by a computer, such as program
Module.Generally, program module includes routines performing specific tasks or implementing specific abstract data types, programs, objects, group
Part, data structure etc..The present invention can also be practiced in a distributed computing environment, in these distributed computing environments, by
Task is executed by the connected remote processing devices of communication network.In a distributed computing environment, program module can be with
In the local and remote computer storage media including storage equipment.
The above-described embodiments merely illustrate the principles and effects of the present invention, and is not intended to limit the present invention.It is any ripe
The personage for knowing this technology all without departing from the spirit and scope of the present invention, carries out modifications and changes to above-described embodiment.Cause
This, institute is complete without departing from the spirit and technical ideas disclosed in the present invention by those of ordinary skill in the art such as
At all equivalent modifications or change, should be covered by the claims of the present invention.
Claims (10)
1. a kind of automation managing and control system Virtual Debugging system based on logistics simulation characterized by comprising
Parameter collection module, for obtaining the technological action of unestablished production site operation according to the design scheme pre-established
Process and processing parameter;
Managing and control system, for carrying out Production scheduling management and control to production site operation;
Logistics simulation module, the production for the technological action process and processing parameter according to acquisition, after establishing and building up
The consistent material flow simulation of field operation;
Communication module is connect with managing and control system and logistics simulation module respectively, between logistics simulation module and managing and control system
Data communication;
The managing and control system obtains the job information of virtual field in logistics simulation module by communication module, and managing and control system issues
Job control directive, logistics simulation module execute the job control directive and carry out operation and feed back, and complete the void of managing and control system
Quasi- debugging.
2. the automation managing and control system Virtual Debugging system according to claim 1 based on logistics simulation, which is characterized in that
The logistics simulation module includes
Material flow simulation, and
Resolution unit is instructed to establish reflecting between the job control directive and operation behaviour for pre-defining operation behaviour
Relationship is penetrated, and instruction parsing is carried out to job control directive, obtains corresponding operation behaviour;
Driving unit, for executing the operation behaviour according to the job control directive;
Display unit when executing the operation behaviour, passes through display unit Three-Dimensional Dynamic virtual display field operation situation;
Quality assessment unit is referred to for exporting the index of evaluable operating efficiency according to logistics trend, device action by output
Mark judges the reasonability of the correctness of job control directive, the integrity of process flow and scheduling.
3. the automation managing and control system Virtual Debugging system according to claim 1 based on logistics simulation, which is characterized in that
Further include:
Monitoring module, for monitoring the real time job information of the virtual field of the logistics simulation module and the real time job at scene
Information.
4. the automation managing and control system Virtual Debugging system according to claim 3 based on logistics simulation, which is characterized in that
It further include statistical forecast module, when system is in operation stage, the managing and control system receives the real time job information at scene, and
By the real time job information real-time synchronization at scene to logistics simulation module, field operation feelings are carried out by the statistical forecast module
Condition is for statistical analysis and predicts.
5. a kind of automation managing and control system Virtual Debugging method based on logistics simulation characterized by comprising
The technological action process and production technology ginseng of unestablished production site operation are obtained according to the design scheme pre-established
Number;
The consistent logistics of production site operation according to the technological action process and processing parameter of acquisition, after establishing and building up
Simulation model;
Managing and control system obtains the job information of virtual field in logistics simulation module, issues job control directive;
Material flow simulation executes the job control directive and carries out operation and feed back, and completion is managed production site operation
With the Virtual Debugging of control.
6. the automation managing and control system Virtual Debugging method according to claim 5 based on logistics simulation, which is characterized in that
Pre-defined operation behaviour, establishes the mapping relations between the job control directive and operation behaviour;
Instruction parsing is carried out to received job control directive, obtains corresponding operation behaviour;
It drives the material flow simulation to execute corresponding operation behaviour, and implementing result is fed back;
Export the index of evaluable operating efficiency;
The correctness of job control directive, the reasonability of the integrity of process flow and scheduling are judged according to the index.
7. the automation managing and control system Virtual Debugging method according to claim 5 based on logistics simulation, which is characterized in that
Monitor the real time job information of virtual field in material flow simulation;
Information and device action output information are moved towards according to the real time job acquisition of information logistics.
8. the automation managing and control system Virtual Debugging method according to claim 7 based on logistics simulation, which is characterized in that
When system is in operation stage, the real time job information of monitoring site, managing and control system is believed according to the real time job at scene
Breath generates job control directive, and issues field device execution, and real time job information real-time synchronization to the logistics at scene is imitated
True mode, the real-time virtual display scene operation in material flow simulation, and, it is for statistical analysis to field operation situation and
Prediction.
9. a kind of computer readable storage medium, is stored thereon with computer program, it is characterised in that: the program is held by processor
Any one of claim 5 to 8 the method is realized when row.
10. a kind of server characterized by comprising processor and memory;
The memory is used to execute the computer journey of the memory storage for storing computer program, the processor
Sequence, so that the terminal is executed such as any one of claim 5 to 8 the method.
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Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110545218A (en) * | 2019-09-05 | 2019-12-06 | 北京邮电大学 | TCP performance monitoring method and device |
CN111652573A (en) * | 2020-05-22 | 2020-09-11 | 深圳市周大福珠宝制造有限公司 | Product production process management system and method |
CN112373797A (en) * | 2020-11-20 | 2021-02-19 | 河钢股份有限公司承德分公司 | Man-machine interaction device for safety of artificial packaging area |
CN112406970A (en) * | 2020-11-27 | 2021-02-26 | 华晟(青岛)智能装备科技有限公司 | Annular rail guided vehicle anti-collision system and method |
CN112464445A (en) * | 2020-11-10 | 2021-03-09 | 中冶赛迪工程技术股份有限公司 | Automatic simulation and optimization system for railway transportation of molten iron |
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Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101000490A (en) * | 2006-01-11 | 2007-07-18 | 上海电气集团股份有限公司 | Virtual machine real electric emulate system for assembling large industrial machinery |
CN101359432A (en) * | 2008-09-02 | 2009-02-04 | 浙江理工大学 | Interactive three-dimensional physical distribution emulation integration method and system |
CN102122165A (en) * | 2010-09-19 | 2011-07-13 | 合肥工业大学 | FAL (Flexible Assembly Line) management and control strategy experimental platform and management and control strategy experimental method |
CN106774223A (en) * | 2017-02-14 | 2017-05-31 | 广州秉优信息科技有限公司 | A kind of production line three-view diagram intelligent linkage method, system |
CN106843124A (en) * | 2016-12-26 | 2017-06-13 | 北京起重运输机械设计研究院 | A kind of Automatic Warehouse three-dimensional real-time monitoring method and system |
CN107861478A (en) * | 2017-10-17 | 2018-03-30 | 广东工业大学 | A kind of parallel control method in intelligent workshop and system |
CN108121216A (en) * | 2017-12-26 | 2018-06-05 | 哈工大机器人(合肥)国际创新研究院 | A kind of automated workshop Virtual Debugging method based on digital factory |
CN109255151A (en) * | 2018-08-03 | 2019-01-22 | 中国人民解放军陆军军事交通学院 | System development method based on the three-dimensional digital simulation model driving that api function calls |
-
2019
- 2019-05-27 CN CN201910445071.5A patent/CN110175803A/en active Pending
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101000490A (en) * | 2006-01-11 | 2007-07-18 | 上海电气集团股份有限公司 | Virtual machine real electric emulate system for assembling large industrial machinery |
CN101359432A (en) * | 2008-09-02 | 2009-02-04 | 浙江理工大学 | Interactive three-dimensional physical distribution emulation integration method and system |
CN102122165A (en) * | 2010-09-19 | 2011-07-13 | 合肥工业大学 | FAL (Flexible Assembly Line) management and control strategy experimental platform and management and control strategy experimental method |
CN106843124A (en) * | 2016-12-26 | 2017-06-13 | 北京起重运输机械设计研究院 | A kind of Automatic Warehouse three-dimensional real-time monitoring method and system |
CN106774223A (en) * | 2017-02-14 | 2017-05-31 | 广州秉优信息科技有限公司 | A kind of production line three-view diagram intelligent linkage method, system |
CN107861478A (en) * | 2017-10-17 | 2018-03-30 | 广东工业大学 | A kind of parallel control method in intelligent workshop and system |
CN108121216A (en) * | 2017-12-26 | 2018-06-05 | 哈工大机器人(合肥)国际创新研究院 | A kind of automated workshop Virtual Debugging method based on digital factory |
CN109255151A (en) * | 2018-08-03 | 2019-01-22 | 中国人民解放军陆军军事交通学院 | System development method based on the three-dimensional digital simulation model driving that api function calls |
Cited By (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110545218A (en) * | 2019-09-05 | 2019-12-06 | 北京邮电大学 | TCP performance monitoring method and device |
CN111652573A (en) * | 2020-05-22 | 2020-09-11 | 深圳市周大福珠宝制造有限公司 | Product production process management system and method |
CN111652573B (en) * | 2020-05-22 | 2023-04-18 | 深圳市周大福珠宝制造有限公司 | Product production process management system and method |
CN112464445A (en) * | 2020-11-10 | 2021-03-09 | 中冶赛迪工程技术股份有限公司 | Automatic simulation and optimization system for railway transportation of molten iron |
CN112464445B (en) * | 2020-11-10 | 2022-08-12 | 中冶赛迪工程技术股份有限公司 | Automatic simulation and optimization system for railway transportation of molten iron |
CN112373797A (en) * | 2020-11-20 | 2021-02-19 | 河钢股份有限公司承德分公司 | Man-machine interaction device for safety of artificial packaging area |
CN112373797B (en) * | 2020-11-20 | 2022-03-01 | 河钢股份有限公司承德分公司 | Man-machine interaction device for safety of artificial packaging area |
CN112406970A (en) * | 2020-11-27 | 2021-02-26 | 华晟(青岛)智能装备科技有限公司 | Annular rail guided vehicle anti-collision system and method |
CN112406970B (en) * | 2020-11-27 | 2022-09-30 | 华晟(青岛)智能装备科技有限公司 | Annular rail guided vehicle anti-collision system and method |
CN115793496A (en) * | 2022-12-05 | 2023-03-14 | 珠海创智科技有限公司 | Dispatching simulation method and system for AGV logistics system |
CN115793496B (en) * | 2022-12-05 | 2023-10-13 | 珠海创智科技有限公司 | Scheduling simulation method and system of AGV logistics system |
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