CN111047936A - Variable intelligent production line training method and system - Google Patents
Variable intelligent production line training method and system Download PDFInfo
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- CN111047936A CN111047936A CN201911217600.2A CN201911217600A CN111047936A CN 111047936 A CN111047936 A CN 111047936A CN 201911217600 A CN201911217600 A CN 201911217600A CN 111047936 A CN111047936 A CN 111047936A
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- production line
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- slave control
- stereoscopic warehouse
- intelligent production
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- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B9/00—Simulators for teaching or training purposes
Abstract
The invention provides a variable intelligent production line practical training method and system, wherein the method comprises the following steps: arranging a plurality of virtual work and seed stations along an annular conveying line provided with a stereoscopic warehouse, so as to construct an intelligent production line; a Manufacturing Execution System (MES) system is used for issuing a production instruction to an intelligent production line; and the intelligent production line finishes the simulation processing process of the product at each virtual workstation after acquiring the production instruction so as to finish teaching demonstration. The system comprises: the system comprises N workstations arranged along a conveying loop, wherein each workstation is provided with a virtual machine, the conveying loop is provided with an RFID detection device and a truss robot at each work station, and each work station is provided with a slave control unit; the stereoscopic warehouse is arranged on the conveying loop and is provided with a stereoscopic warehouse slave control unit; the MES system is used for issuing production instructions; and the master control unit is connected with the MES system, the slave control unit and the stereoscopic warehouse slave control unit.
Description
Technical Field
The invention relates to the technical field of intelligent manufacturing virtual simulation, in particular to a variable intelligent production line practical training method and system.
Background
Leading intelligent production line integrators and research institutes have carried out years of work on "intelligent production lines," the key aspect of which is to integrate with manufacturing processes and processes, wherein the processing processes between the modules of the virtual production line are simulated and can be demonstrated through 3D model images.
So far, the learning of the operation skills of the intelligent production line can be generally completed only by the real production line. On these intelligence production lines, the module is relevant fixed, can't accomplish the change of different production line states.
In many intelligent manufacturing virtual production lines, only part of the functions of the intelligent production line are realized, such as simulation planning and building of the production line and simulation of equipment actions of the virtual production line, and the virtual production line cannot be controlled by the system to perform virtual production according to orders.
At present, due to the functional limitation of hardware, one production line can only produce products limited by certain specific processes, and processing equipment in the production line cannot change the processing function, so that the production line can not be used as teaching training for students to experience production lines in different production processes.
The production line provided by the invention aims to solve the problem that an operator can change the processing function attribute of each processing function module of the virtual production line (for example, a numerical control lathe is changed into a numerical control milling machine), so that the processing and production process of the whole production line is changed into various processes.
The control core of the intelligent production line is an MES system, and the existing MES systems in the market are used for controlling real production lines, so that the operation knowledge of the intelligent production line is greatly inconvenient to learn, the running cost of the real production lines is very high, and the teaching cost is greatly increased.
Disclosure of Invention
The invention aims to provide a variable intelligent production line training method and system, which are used for simulating all processes of intelligent production line production, including a process of issuing production instructions to an intelligent production line by an MES system.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows: a variable intelligent production line training method comprises the following steps: arranging a plurality of virtual work and seed stations along an annular conveying line provided with a stereoscopic warehouse, so as to construct an intelligent production line; a Manufacturing Execution System (MES) system is used for issuing a production instruction to an intelligent production line; and the intelligent production line finishes the simulation processing process of the product at each virtual workstation after acquiring the production instruction so as to finish teaching demonstration.
N work stations (1, 2,3, 4, 5, 6, 7, 8, 9, 10) arranged along a transport loop (100-1), each work station being provided with a virtual machine (10,20,30,40,50,60,70,80,90,100), the transport loop being provided with RFID detection means (11,21,31,41,51,61,71,81,91,101), a truss robot (12,22,32,42,52,62,72,82,92,102) at each work station, each work station being provided with a slave control unit;
a stereoscopic warehouse (100-2) arranged on the conveying loop and provided with a stereoscopic warehouse slave control unit;
an MES system (100-3) for issuing production instructions;
and the master control unit is connected with the MES system, the slave control unit and the stereoscopic warehouse slave control unit.
Compared with the prior art, the invention has the advantages that: under the input of one-time construction, the intelligent production line can be freely transformed into an intelligent production line with various forms, and specific skilled talents are cultivated for different enterprise production conditions.
Drawings
Fig. 1 is a flow chart of a virtual production line implementation in the embodiment of the present invention.
Fig. 2 is a diagram of a virtual production line structure in the embodiment of the present invention.
Detailed Description
The technical solution adopted by the present invention will be further explained with reference to the schematic drawings.
The invention provides a variable intelligent production line training method, which comprises the following steps: arranging a plurality of virtual work and seed stations along an annular conveying line provided with a stereoscopic warehouse, so as to construct an intelligent production line; a Manufacturing Execution System (MES) system is used for issuing a production instruction to an intelligent production line; and the intelligent production line finishes the simulation processing process of the product at each virtual workstation after acquiring the production instruction so as to finish teaching demonstration.
The variable intelligent production line teaching method is explained in detail below with reference to fig. 1:
step 1: and forming information of the enterprise production line.
Step 2: and (5) SMES simulation building.
And step 3: and the field simulator switches the models.
And 4, step 4: the SMES enterprise orders.
And 5: and (5) taking the three-dimensional warehouse out.
Step 6: and taking the blank by a truss robot of the processing station.
And 7: and (5) performing virtual machine simulation machining.
And 8: and putting the finished product into a conveying loop.
Step 10: and (6) warehousing the finished product.
The invention also provides a variable intelligent production line training system, which is shown in fig. 2 and comprises: n stations arranged along a conveying loop 100-1, 10 stations being illustrated in this embodiment, 10 stations being defined as a first station 1, a second station 2, a third station 3, a fourth station 4, a fifth station 5, a sixth station 6, a seventh station 7, an eighth station 8, a ninth station 9, and a tenth station 10, respectively, each station being provided with a virtual machine, the virtual machines arranged at the respective stations being defined as a first virtual machine 10, a second virtual machine 20, a third virtual machine 30, a fourth virtual machine 40, a fifth virtual machine 50, a sixth virtual machine 60, a seventh virtual machine 70, an eighth virtual machine 80, a ninth virtual machine 90, and a tenth virtual machine 100, respectively, the conveying loop being provided at the respective stations with RFID defining means, truss robots, the RFID detecting means of the respective stations being defined as first RFID detecting means 11, a second RFID detection device 21, a third RFID detection device 31, a fourth RFID detection device 41, a fifth RFID detection device 51, a sixth RFID detection device 61, a seventh RFID detection device 71, an eighth RFID detection device 81, a ninth RFID detection device 91, a tenth RFID detection device 101, which define the truss robots disposed at the respective corresponding work stations as a first truss robot 12, a second truss robot 22, a third truss robot 32, a fourth truss robot 42, a fifth truss robot 52, a sixth truss robot 62, a seventh truss robot 72, an eighth truss robot 82, a ninth truss robot 92, and a tenth truss robot 102, respectively, each work station is provided with a slave control unit, i.e., a first slave control unit is provided at the first work station, a second slave control unit is provided at the second work station, a third slave control unit is provided at the third work station, a fourth slave control unit is provided at the fourth work station, the fifth workstation is provided with a fifth slave control unit, the sixth workstation is provided with a sixth slave control unit, the seventh workstation is provided with a seventh slave control unit, the eighth workstation is provided with an eighth slave control unit, the ninth workstation is provided with a ninth slave control unit, the tenth workstation is provided with a tenth slave control unit, the slave control units arranged on the workstations are slave control PLCs, and the MES system is responsible for issuing production instructions to an intelligent production line.
And a stereoscopic warehouse 100-2 provided to the conveying loop, which is provided with a stereoscopic warehouse slave control unit, such as a stereoscopic warehouse slave control PLC.
A master control unit in the system adopts a master control PLC, and the master control PLC is connected with the MES system and the slave control units of the slave control unit stereoscopic warehouse.
In this embodiment, the conveying loop, the stereoscopic warehouse and the truss robot all adopt the prior art, and are not described herein, because the conveying loop is a real assembly line, the stereoscopic warehouse is a real material storage module, and the truss robot is also a real truss robot, in the whole system teaching process, after an instruction is issued by the MES, the stereoscopic warehouse can really take materials (blanks to be processed) from the material storage module and place the materials into the conveying loop, the blanks to be processed are conveyed to each workstation through the conveying loop, and the operation is completed through the virtual machine tool of each workstation.
The MES system is used as a manufacturing execution module for giving instructions to the intelligent production line.
And the computers at all the workstations are provided with virtual machine tools with variable production process modes, and different production processes are completed through the virtual machine tools.
The system can import an NC program programmed by external CAM software and issue a plurality of sections of NC programs to each relevant processing unit (namely each workstation) according to the production process requirements.
The system can switch the production and processing functions (for example, turning, milling and drilling) of each processing unit on the virtual production line in sequence according to different production and processing technologies of different parts, so that the virtual production line becomes a special production line for customizing the product, and corresponding skill talents can be cultivated according to different production technologies of different enterprises.
According to the invention, according to the specific production process of a product production line of an enterprise, production line simulation building is carried out according to the enterprise products in the virtual production line configuration module, then the production line simulation building is guided into the manufacturing execution module, each production processing unit is adjusted to the corresponding production processing functional state according to the production process, and at the moment, a production instruction can be issued to each production unit through the manufacturing execution module, and each production unit is controlled to carry out coordinated production.
The intelligent production line can also be provided with a function of quickly simulating production, so that the simulation speed can be increased, and various index data (such as production time, beat, Gantt chart, qualification rate, energy consumption and the like) of the virtual production line for completing the production of a certain order task can be quickly obtained.
The virtual intelligent production line is configured to simulate the production process of different intelligent production lines using NC control data, order data, process data, and scheduling data based on product data and PLC control data. According to the invention, the working process of the intelligent production line is simulated in a system, the platform comprises a plurality of processing cores, the working process is simulated by local simulation running on different processing cores in parallel, and the plurality of processing cores can be converted into shapes to simulate different processing technologies.
The above description is only a preferred embodiment of the present invention, and does not limit the present invention in any way. It will be understood by those skilled in the art that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (2)
1. A variable intelligent production line practical training method is characterized by comprising the following steps:
arranging a plurality of virtual work and seed stations along an annular conveying line provided with a stereoscopic warehouse, so as to construct an intelligent production line;
a Manufacturing Execution System (MES) system is used for issuing a production instruction to an intelligent production line;
and the intelligent production line finishes the simulation processing process of the product at each virtual workstation after acquiring the production instruction so as to finish teaching demonstration.
2. The utility model provides a real standard system of production line of variable intelligence which characterized in that, it includes:
n work stations (1, 2,3, 4, 5, 6, 7, 8, 9, 10) arranged along a transport loop (100-1), each work station being provided with a virtual machine (10,20,30,40,50,60,70,80,90,100), the transport loop being provided with RFID detection means (11,21,31,41,51,61,71,81,91,101), a truss robot (12,22,32,42,52,62,72,82,92,102) at each work station, each work station being provided with a slave control unit;
a stereoscopic warehouse (100-2) arranged on the conveying loop and provided with a stereoscopic warehouse slave control unit;
an MES system (100-3) for issuing production instructions;
and the master control unit is connected with the MES system, the slave control unit and the stereoscopic warehouse slave control unit.
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| CN201911217600.2A CN111047936A (en) | 2019-12-03 | 2019-12-03 | Variable intelligent production line training method and system |
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| CN108510866A (en) * | 2018-04-04 | 2018-09-07 | 广东机电职业技术学院 | A kind of integrated practice tutoring system of intelligent Manufacturing Technology |
| CN208889177U (en) * | 2018-04-04 | 2019-05-21 | 广东机电职业技术学院 | A kind of integrated practice tutoring system of intelligent Manufacturing Technology |
| CN109917764A (en) * | 2019-03-26 | 2019-06-21 | 北京市工业技师学院 | A kind of intelligent plant experience system |
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2019
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Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11212621A (en) * | 1998-01-28 | 1999-08-06 | Nec Yamagata Ltd | Method and device for controlling robot |
| WO2009097895A1 (en) * | 2008-02-05 | 2009-08-13 | Abb Technology Ab | An industrial robot system |
| CN103106559A (en) * | 2013-01-28 | 2013-05-15 | 北京交通大学 | Virtual-actual fusion industrial engineering comprehensive experiment system |
| CN106354109A (en) * | 2016-10-13 | 2017-01-25 | 上海犀浦智能系统有限公司 | Laboratory-based flexible intelligent production line and production method |
| CN106652742A (en) * | 2016-10-19 | 2017-05-10 | 塔普翊海（上海）智能科技有限公司 | Teaching training system and teaching method |
| CN108510866A (en) * | 2018-04-04 | 2018-09-07 | 广东机电职业技术学院 | A kind of integrated practice tutoring system of intelligent Manufacturing Technology |
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Application publication date: 20200421 |