JP6935107B2 - Distributed integration method for glass precision processing production line and its system - Google Patents

Description

The present invention belongs to the field of glass processing automation technology, and particularly relates to a distributed integration method and a system thereof for a glass precision processing production line.

The glass precision processing production line is a glass product with specific functions that is manufactured by adopting different processing technologies based on the usage needs, using primary molded flat glass as the basic raw material for the secondary processing of glass. It is a production line.
In the final verification of the design solution of the glass precision processing production line, it is necessary to integrate each unit equipment, install a management system, and carry out a joint tuning matching test.
However, since different equipment is custom-produced by different companies, each unit must be integrated when the entire line layout is completed, and distributed integration includes data integration, process integration, and application integration.
Off-site segmental testing between equipment from different suppliers, between equipment and the entire line, before delivering the entire line to the customer, to avoid excessive integration testing cycles and reduce funding and site occupancy costs (Communication test, control network test, whole line work test).

However, current test platforms are limited to testing and verifying the display performance and functionality of a single device, and off-site integration testing between equipment is limited to simple communication testing over a network. On the other hand, the real-time performance is inferior, and the actual production process cannot be realistically simulated by the virtual operation process of the entire line. On the other hand, since the dedicated equipment of each technical section is easily combined and configured, it is limited to the communication test and the work cooperative test cannot be carried out.
The integration and testing of the entire line can only be performed after the physical equipment assembly has been completed in the field, and the joint tuning matching test can only be performed, and the off-site segment integration and testing cannot be performed.

In the prior art, the integration and testing of the entire line can only be performed after the physical equipment assembly has been completed in the field, and the off-site segment integration and testing can be performed. It has the drawback of not being able to do it.

The distributed integration method and system of the glass precision processing production line according to the present invention can realize time sharing, off-site integration and testing, reduce the uncertainty from design to production and manufacturing, and reach the end customer. Synchronized Matching The test cycle can be shortened, design hazards can be detected and avoided in advance, and site costs and fund occupancy costs can be significantly reduced.

In the distributed integration method of the glass precision processing production line according to the present invention, the glass precision processing production line is divided into four physical units, and the four physical units are designed, manufactured and tested in different regions, respectively. The two physical units are the original glass piece warehouse physical unit, the steel bin physical unit, the tempering furnace glass piece array physical unit, the hollow pairing physical unit, and include the following steps.
In the 3D modeling step, in the simulation system, 3D modeling is performed for each of the four physical units, 3D modeling is performed for all single machine physical equipment of each physical unit, and the original glass piece warehouse unit is performed. A simulation model, a steel bin unit simulation model, a tempering furnace glass piece array unit simulation model, and a hollow pairing unit simulation model are formed, and based on the design requirement information of the glass precision processing production line, the original glass piece warehouse unit is used in the simulation system. Assemble a simulation model, a steel bin unit simulation model, a tempering furnace glass piece array unit simulation model, and a hollow pairing unit simulation model to build a glass precision machining production line simulation model.

All single machine equipment models of the glass precision machining production line simulation model and the corresponding single machine physical equipment of the glass precision machining production line are perfectly matched, the concrete layout of the production line, of each physical unit. Includes appearance and form, layout of each sensor in a single physical facility.
Off-site virtual physics synchronization step: Based on the requirements of the glass production technology process, the operation control script of all single machine equipment models of the glass precision machining production line simulation model is organized in the simulation system, and the operation control script is organized via the script. The machining operation of the single machine equipment model is linguistically controlled, and then the glass precision machining production line simulation model is operated offline in the simulation system.

The glass precision machining production line simulation model utilizes digital twin technology after successful offline operation, and the single machine physical equipment of each physical unit is the glass precision machining production line simulation model via the communication interface. Build a corresponding single machine equipment model and real-time communication and operation synchronization.
Off-site time sharing integrated test step: In the simulation system, 4 unit management modules are installed, and the 4 unit management modules are the original glass piece warehouse unit simulation model, steel bin unit simulation model, tempering furnace glass piece arrangement. The unit simulation model and the hollow pairing unit simulation model are controlled respectively.
A host computer is installed, which sends actual production information commands to the four unit management modules via Industrial Ethernet®.

In four physical units in different regions, in different time sections, through the communication interface and the glass precision machining production line simulation model, real-time communication and operation synchronization are constructed, and the host computer is the physical unit of the network. And the glass precision machining production line simulation model, the actual production information command is sent, the glass precision machining simulation production is performed, the distributed integration test is performed on the physical unit of the network, and the physical unit of the network Inspect whether the no-load action condition meets the specified production requirements.

The distributed integration test includes a vertical integration test and a horizontal integration test.

The vertical integration test consists of a down command channel test and an up information channel test, and the down command channel test shows the actual production information for the host computer to the physical unit of the network and the glass precision machining production line simulation model. When sending a command, it checks whether the physical unit of the network is operating based on the actual production information command.

The up-information channel test checks whether or not the physical unit of the network provides real feedback of operating state information to the host computer.

The horizontal integration test consists of an inter-equipment physical operation connection test and an inter-unit state information transmission test, and the inter-equipment physical operation connection test is a glass set by each single physical equipment of the physical unit of the network. It is inspected whether it is based on the production technology process and whether the downstream single machine physical equipment is constantly undergoing the machining operation of the upstream single machine physical equipment.

In the inter-unit state information transmission test, whether or not the physical unit of the network can receive the state information of the upstream physical unit during the glass precision machining simulation production, and further, the corresponding unit management module receives the state information. Based on the information, it is inspected whether the machining operation of each single machine physical equipment can be controlled, and whether the physical unit of the network can transmit its own state information to the downstream physical unit. do.

Preferably, the down command channel test comprises the following steps A1 through A5.
Step A1:
The physical unit of the network is bound (coupled) to the I / O point of the software PLC module of the corresponding unit simulation model through the PLC control network via the exchange interface in the form of I / O point information. The physical unit is driven by a PLC control network.

Step A2: The host computer sends an actual production information command to the four unit management modules via Industrial Ethernet.

Step A3: Each of the four unit management modules converts the received actual production information command into a device command, and transmits the device command to the glass precision machining production line simulation model via the OPC protocol and the database communication mechanism. , The unit management module corresponding to the physical unit of the network simultaneously transmits device commands to the PLC control network.

Step A4: The glass precision machining production line simulation model performs glass precision machining simulation production based on the received equipment command, and the PLC control network drives the operation of the physical unit of the network based on the received equipment command. Then, using digital twin technology, the corresponding unit simulation model and the physical unit of the network operate synchronously.

Step A5: The host computer builds a simulation model view and inspects the operating state of the glass precision machining production line simulation model through the simulation model view, whereby the physical unit of the network is actually produced. Check whether it is operating based on the information command.

Preferably, the up-information channel test comprises the following steps B1 through B3.
Step B1: The glass precision machining production line simulation model performs glass precision machining simulation production based on the received equipment command, and using digital twin technology, the corresponding unit simulation model and the physical unit of the network are operated synchronously. do.

Step B2: The PLC control network collects the state information of all the single physical equipments of the network by the SCADA system (that is, the data collection and monitoring control system), and the collected state information is used as the host computer. Upload to.

Step B3: The state information received by the host computer is compared with the state information collected by the PLC control network, and it is checked whether or not there is an exact match.

Preferably, the equipment-to-equipment physical operation connection test comprises the following steps C1 to C4.
Step C1: All single machine physical equipment of the physical unit of the network is connected via a physical interface based on the set glass production technology process to form one whole.

Step C2: The host computer sends an actual production information command to the four unit management modules via Industrial Ethernet.

Step C3: The glass precision machining production line simulation model performs glass precision machining simulation production based on the received equipment command, and the PLC control network drives the operation of the physical unit of the network based on the received equipment command. Then, using digital twin technology, the corresponding unit simulation model and the physical unit of the network operate synchronously.

Step C4: Through the simulation model view, the host computer determines whether or not the downstream single machine physical equipment always undertakes the machining operation of the upstream single machine physical equipment in the physical unit of the network. inspect.

Preferably, the inter-unit state information transmission test comprises the following steps D1 to D4.
Step D1: In the physical unit of the network, the state information of each single machine physical equipment is integrated into the data bus via industrial Ethernet, and the data bus and the unit management module are connected and correspond to the state information. Transmit to the unit management module.

Step D2: The host computer sends an actual production information command to the four unit management modules via Industrial Ethernet.

Step D3: The glass precision machining production line simulation model performs glass precision machining simulation production based on the received equipment command, and the PLC control network drives the operation of the physical unit of the network based on the received equipment command. Then, using digital twin technology, the corresponding unit simulation model and the physical unit of the network operate synchronously.

Step D4: The host computer checks through the simulation model view whether the operation of the glass precision machining production line simulation model is smooth, and whether an operation delay or an operation error appears in the physical unit of the network. As a result, whether or not the physical unit of the network received the state information of the upstream physical unit in the glass precision machining simulation production, and the corresponding unit management module based on the received state information, each single machine physics. It is inspected whether or not the processing operation of the equipment is controlled and whether or not the physical unit of the network transmits its own state information to the downstream physical unit.

Preferably, the 3D modeling step comprises the following steps E1 through E5.
Step E1: Perform 3D modeling for the single machine physical equipment of four physical units, and based on the actual function and actual efficiency of the single machine physical equipment, the operation method of the single machine physical equipment The control method is enclosed, the standardized data interface and information interface are defined, and the equipment 3D model base is constructed in the simulation system.
The control scheme includes data collection and processing, sensor layout and control logic settings.

Step E2: In the simulation system, preset the layout model base corresponding to the glass precision processing production line industry.

Step E3: Based on the design requirement information of the glass precision processing production line, an appropriate layout model is selected in the layout model base, a necessary equipment model is selected in the equipment 3D model base, and based on the layout model. A layout plan and an equipment model are combined for the glass precision processing production line.

Step E4: Based on the layout plan, the motion method, control solution, execution algorithm engine, and simulation dynamic operation solution of each stage of the glass precision machining production line are designed, and the initial line overall model and initial stage of the glass precision machining production line are designed. Generate an execution kernel.

Step E5: In the simulation system, a dynamic simulation production process is performed to optimize the entire initial line model and the initial execution kernel, thereby generating the glass precision machining production line simulation model.

Preferably, the optimization of the entire initial line model and the initial execution kernel comprises the following steps E5.1 to E5.4.
Step E5.1: Build a command channel from the initial execution kernel to the initial line-wide model, build an information channel from the initial line-wide model to the initial execution kernel, thereby constructing the initial execution kernel and the initial stage. The entire line model realizes the interaction.

Step E5.2: The simulation system executes a dynamic simulation production process, the initial execution kernel generates an actual production information command, and the entire initial line model is operated and operated based on the actual production information command. The result is generated and the field information is fed back to the initial execution kernel.

Step E5.3: The operation efficiency and load are analyzed for the operation result, and based on the analysis result, the placement parameters of the entire initial line model and the algorithm structure of the initial execution kernel are optimized, thereby optimizing the line. Generate the whole model and the optimization execution kernel.

Step E5.4: The glass precision machining production line simulation model 15 is generated based on the entire optimization line model and the optimization execution kernel.

Preferably, in a system using the distributed integration method of the glass precision machining production line, the glass precision machining production line is divided into four physical units, each of which is designed, manufactured and tested in different regions. The four physical units are the original glass piece warehouse physical unit, steel bin physical unit, tempering furnace glass piece array physical unit, hollow pairing physical unit, simulation system and host computer. Including, the simulation system and the host computer construct a communication network via industrial Ethernet.

The simulation system performs 3D modeling for each of the four physical units, 3D modeling for all single machine physical equipment of each physical unit, and the original glass piece warehouse unit simulation model, steel. A bin unit simulation model, a tempering furnace glass piece array unit simulation model, and a hollow pairing unit simulation model are formed, and based on the design requirement information of the glass precision processing production line, the original glass piece warehouse unit simulation model, steel Assemble a bin unit simulation model, a tempering furnace glass piece array unit simulation model, and a hollow pairing unit simulation model to build a glass precision machining production line simulation model.

All single machine equipment models of the glass precision machining production line simulation model and the corresponding single machine physical equipment of the glass precision machining production line are perfectly matched, the concrete layout of the production line, of each physical unit. Includes appearance and form, layout of each sensor in a single physical facility.

Using digital twin technology, the single machine physical equipment of each physical unit can perform real-time communication and operation synchronization with the corresponding single machine equipment model of the glass precision processing production line simulation model via the communication interface. To construct.

The simulation system has four unit management modules installed, and the four unit management modules are the original glass piece warehouse unit simulation model, steel bin unit simulation model, tempering furnace glass piece arrangement unit simulation model, and hollow pairing unit. Control each simulation model.

The host computer sends actual production information commands to the four unit management modules via Industrial Ethernet.
In four physical units in different regions, in different time sections, through the communication interface and the glass precision machining production line simulation model, real-time communication and operation synchronization are constructed, and the host computer is the physical unit of the network. And the glass precision machining production line simulation model, the actual production information command is sent, the glass precision machining simulation production is performed, the distributed integration test is performed on the physical unit of the network, and the physical unit of the network Inspect whether the no-load action condition meets the specified production requirements.

The distributed integration test includes a vertical integration test and a horizontal integration test.

The vertical integration test consists of a down command channel test and an up information channel test, and the down command channel test shows the actual production information for the host computer to the physical unit of the network and the glass precision machining production line simulation model. When sending a command, it checks whether the physical unit of the network is operating based on the actual production information command.

The up-information channel test checks whether or not the physical unit of the network provides real feedback of operating state information to the host computer.

The horizontal integration test consists of an inter-equipment physical operation connection test and an inter-unit state information transmission test, and the inter-equipment physical operation connection test is a glass set by each single physical equipment of the physical unit of the network. It is inspected whether it is based on the production technology process and whether the downstream single machine physical equipment is constantly undergoing the machining operation of the upstream single machine physical equipment.

In the inter-unit state information transmission test, whether or not the physical unit of the network can receive the state information of the upstream physical unit during the glass precision machining simulation production, and further, the corresponding unit management module receives the state information. Based on the information, it is inspected whether the machining operation of each single machine physical equipment can be controlled, and whether the physical unit of the network can transmit its own state information to the downstream physical unit. do.

Preferably, a PLC control network is further included.

The physical unit of the network is bound (coupled) to the I / O point of the software PLC module of the corresponding unit simulation model through the PLC control network via the exchange interface in the form of I / O point information. The physical unit is driven by a PLC control network.

The unit management module converts the received actual production information command into an instrument command, transmits the instrument command to the glass precision machining production line simulation model via the OPC protocol and the database communication mechanism, and the physical of the network. The unit and the corresponding unit management module simultaneously transmit device commands to the PLC control network.

The glass precision machining production line simulation model performs glass precision machining simulation production based on the received equipment command.

The PLC control network further drives the operation of the physical unit of the network based on the received device command, and utilizes digital twin technology to synchronize the corresponding unit simulation model with the physical unit of the network.
The SCADA system (ie, data collection and monitoring control system) collects state information for all single physical equipment in the network and uploads the collected state information to the host computer.

The host computer includes a configuration monitoring unit and a MES management unit, which constructs a simulation model view and inspects the operating state of the glass precision machining production line simulation model through the simulation model view. , This inspects whether the physical unit of the network is operating based on the actual production information command.

The MES management unit compares the received status information with the status information collected by the PLC control network, and inspects whether or not there is an exact match.

Preferably, in the physical unit of the network, they are connected to form one whole through all the single machine physical equipment physical interfaces based on the set glass production technology process.
Moreover, the status information of each single physical equipment is integrated into the data bus via Industrial Ethernet, the data bus and the unit management module are connected, and the status information is transmitted to the corresponding unit management module.
Through the simulation model view, the configuration monitoring unit further determines whether or not the downstream single-machine physical equipment always undertakes the machining operation of the upstream single-machine physical equipment in the physical unit of the network. inspect.

The MES management unit further checks through the simulation model view whether the operation of the glass precision machining production line simulation model is smooth, and whether or not an operation delay or an operation error appears in the physical unit of the network. As a result, whether or not the physical unit of the network received the state information of the upstream physical unit in the glass precision machining simulation production, and the corresponding unit management module based on the received state information, each single machine physics. It is inspected whether or not the processing operation of the equipment is controlled and whether or not the physical unit of the network transmits its own state information to the downstream physical unit.

The glass precision machining production line distributed integrated system has the interaction and fusion action of the physical unit (or single machine physical equipment) and the glass precision machining production line simulation model, and satisfies the integration of the physical equipment of the entire line. The control logic and communication interface of the off-site fractionation test physical unit (or single machine physical equipment) are judged whether or not they match the operation plan of the glass precision processing production line, and the control logic and design distribution are performed. By locally avoiding the error of, the design of the physical unit (or single machine physical equipment) is continuously improved to meet the operating needs of the glass precision processing production line.

Under the drive of digital twin technology, the integration of all elements, all processes and all business data of the entire simulation production line and the actual production line by bidirectional real mapping and real-time information interaction between the virtual simulation platform and the production line physical equipment. And finally complete the development and construction of the entire glass precision processing production line.

It is a flowchart of the glass precision processing production line dispersion type integration of embodiment of this invention. It is a principle diagram of the system operation of the embodiment of this invention. It is a principle figure of the vertical integration test of embodiment of this invention. It is a principle figure of the horizontal integration test of embodiment of this invention.

(Embodiment)
Hereinafter, the technical solution of the present invention will be described by a specific implementation method with reference to the drawings.
The present invention is based on the following premise.

The glass precision processing production line by the distributed integration method of the glass precision processing production line of the present embodiment is divided into four physical units 2.
The four physical units 2 have been designed, manufactured and tested in different regions, and the four physical units 2 are the original glass piece warehouse physical unit 21, the steel bin physical unit 22, and the temper glass. The single-arranged physical unit 23 and the hollow pairing physical unit 24 include the following steps as shown in FIG.

3D modeling step: In the simulation system 1, modeling is performed for each of the four physical units 23D, modeling is performed for all single machine physical equipment 253D of each physical unit 2, and the original glass piece warehouse unit simulation. A model 11, a steel bin unit simulation model 12, a tempering furnace glass piece arrangement unit simulation model 13, and a hollow pairing unit simulation model 14 are formed.
Based on the design requirement information of the glass precision processing production line, in the simulation system 1, the original glass piece warehouse unit simulation model 11, the steel bin unit simulation model 12, the tempering furnace glass piece arrangement unit simulation model 13, and the hollow pairing unit simulation model. Assemble 14 to build a glass precision machining production line simulation model 15.

All single machine equipment model 16 of the glass precision machining production line simulation model 15 and the corresponding single machine physical equipment 25 of the glass precision machining production line are in perfect agreement, the concrete layout of the production line, each The appearance and form of the physical unit 2 and the layout of each sensor of the single physical equipment 25 are included.

Off-site virtual physics synchronization step: Based on the requirements of the glass production technology process, in the simulation system 1, the operation control scripts of all the single machine equipment models 16 of the glass precision machining production line simulation model 15 are organized and through the scripts. The machining operation of the single machine equipment model 16 is language-controlled, and subsequently, the glass precision machining production line simulation model 15 is operated offline in the simulation system 1.

The glass precision machining production line simulation model 15 utilizes digital twin technology after successful offline operation, and the single physical equipment 25 of each physical unit 2 is connected to the glass precision machining production line via a communication interface. Real-time communication and operation synchronization are constructed with the corresponding single machine equipment model 16 of the simulation model 15.

Off-site time-sharing integrated test step: In simulation system 1, four unit management modules 17 are installed, and the four unit management modules 17 are the original glass piece warehouse unit simulation model 11, steel bin unit simulation model 12, The tempering furnace glass piece arrangement unit simulation model 13 and the hollow pairing unit simulation model 14 are controlled.

Installation of host computer 3: The host computer 3 transmits an actual production information command to the four unit management modules 17 via Industrial Ethernet.

In four physical units 2 in different regions, in different time sections, real-time communication and operation synchronization are constructed via the communication interface and the glass precision machining production line simulation model 15, and the host computer 3 is a network. An actual production information command is transmitted to the physical unit 2 and the glass precision machining production line simulation model 15, glass precision machining simulation production is performed, and a distributed integrated test is performed on the physical unit 2 of the network. It is inspected whether or not the no-load action condition of the physical unit 2 of the network meets a predetermined production requirement.

The distributed integration test includes a vertical integration test and a horizontal integration test.

The vertical integration test is composed of a down command channel test and an up information channel test, and in the down command channel test, the host computer 3 is subjected to the physical unit 2 of the network and the glass precision machining production line simulation model 15. When the actual production information command is transmitted, it is inspected whether or not the physical unit 2 of the network is operating based on the actual production information command.

The up information channel test checks whether or not the physical unit 2 of the network actually feeds back the operating state information to the host computer 3.

The horizontal integration test is composed of an inter-equipment physical operation connection test and an inter-unit state information transmission test, and the inter-equipment physical operation connection test is set by each single physical equipment 25 of the physical unit 2 of the network. It is inspected whether or not it is based on the glass production technology process of the above, and whether or not the downstream single-machine physical equipment 25 is constantly undergoing the processing operation of the upstream single-machine physical equipment 25.

In the inter-unit state information transmission test, whether or not the physical unit 2 of the network can receive the state information of the upstream physical unit 2 during the glass precision machining simulation production, and the corresponding unit management module 17 further determines. Whether or not the machining operation of each single machine physical equipment 25 can be controlled based on the received state information, and the physical unit 2 of the network can transmit its own state information to the downstream physical unit 2. Inspect whether it is.

The distributed integration method of the glass precision processing production line realizes virtual physical synchronization of the physical unit 2 (or single physical equipment 25) and its simulation model by digital twin technology, thereby achieving high performance and general purpose. A highly flexible and expandable integrated physical and simulation distributed integrated test platform is constructed, and the physical unit 2 (or single machine physical equipment 25) provided by each supplier and the glass precision machining production line simulation model 15 are combined. Supports time sharing, off-site integration and testing, and whether the physical unit 2 (or single physical equipment 25) and the control logic of the simulation model meet the default design goals of the communication interface. , Test whether the overall line motion plan and the corresponding unit system continuously improve the design and production of physical unit 2 (or single physical equipment 25) in the work and performance of the entire line. Reduces uncertainty between design and production, shortens the cycle of joint matching matching test to the final customer, detects and avoids design hazards in advance, and greatly increases the cost of site and fund occupancy, etc. To reduce to.

The four physical units 2 have been designed, manufactured and tested in different regions, the original glass piece warehouse physical unit 21 including a gantry crane, a flip transport station, a vacuum suction cup holder and a glass T-frame.
The Steel bin physical unit 22 includes a high-speed trolley operation guide rail, a glass piece warehousing high-speed transportation trolley, a glass piece warehousing high-speed transportation trolley, a steel bin fixed grid rack, a bottom car, and a transportation buffer section. The tempering furnace glass piece array physical unit 23 includes a glass piece array table, a buffer table, and a transport table.
The hollow pairing physical unit 24 includes a high-speed trolley operation guide rail, a glass piece warehousing high-speed transportation trolley, a glass piece warehousing high-speed transportation trolley, a pairing warehouse fixed grid rack, a bottom car, and a transportation buffer section.

Therefore, in the glass precision processing production line simulation model 15, the original glass piece warehouse unit simulation model 11, the steel bin unit simulation model 12, and the tempering furnace glass piece arrangement unit simulation model 13 are sequentially obtained from upstream to downstream based on the production process. , Hollow pairing unit simulation model 14.
Moreover, each unit simulation model 12 is assembled to the single machine physical equipment 25 based on the design requirement information of the glass precision processing production line to form a virtual glass precision processing production line, and the production line can be speeded up. Achieve various customizations.
The simulation system 1 employs Demo3D simulation software, is equipped with an open platform capable of 3D digital design, can execute virtual equipment of a single machine equipment, and operates equipment or moves products via a script. It can be controlled and has a software PLC function.

Utilizing the digital twin technology, the single machine equipment model 16 corresponding to the single machine physical equipment 25 establishes real-time communication and operation synchronization, and realizes virtual physical synchronization.
This allows suppliers in different regions to time-share and offsite in the equipment production process, connect the single machine physical equipment 25 to the glass precision machining production line simulation model 15, perform line integration tests, region, site. Achieve a custom-designed parallelization process for the entire smart factory line, separated from space-time restrictions.
The digital twin technology fully utilizes data such as physical models, sensor updates, and operation histories, integrates simulation processes of complex fields, multi-physical quantities, multi-scales, and multiple probabilities, maps them to virtual space, and responds accordingly. It is also called "digital mirror" or "digital mapping", reflecting all the life cycle processes of the physical equipment.
The virtual physical synchronization uses PLC as a bridge to build a communication channel between 3D simulation (virtual sensor), equipment model and real PLC, and configuration software, realize interconnection of interconnection data and information, and down command. The binary synchronization technology of the update realizes real-time synchronization of equipment real-time data, configuration monitoring data and 3D virtual simulation data, and between virtual factory (simulation), real factory (equipment), site monitoring data, and MES system execution data. Achieve interaction and synchronization.

The MES system or its execution engine is arranged in the host computer 3, controls the process of the entire glass precision machining production, and analyzes the integrated test data of the physical unit 2 of the network.
The MES system is a management system executed by a manufacturing company in a production process, a production computerization management system for the execution layer of a manufacturing company factory, and is optimized by transmitting information to the entire production process from ordering to product completion. Manage.
The unit management module 17 drives the physical unit 2 of the corresponding network based on an actual production information command transmitted by the host computer 3.
As a result, the glass precision machining production line simulation model 15 is used to perform production simulation, and virtual physical synchronization technology is used to realize the interconnection of interconnection data and information, and the no-load action of the physical unit 2 of the network. Test whether the emotions meet the prescribed production requirements.

The glass precision machining production line distributed integrated system has an interaction and fusion action between the physical unit 2 (or single machine physical equipment 25) and the glass precision machining production line simulation model 15, and is used for the physical equipment of the entire line. Satisfying the integration, it determines whether the control logic and communication interface of the off-site fractionation test physical unit 2 (or single machine physical equipment 25) match the operation plan of the glass precision machining production line. By locally avoiding control logic and design logistics errors, we can continuously improve the design of physical unit 2 (or single physical equipment 25) to meet the operating needs of glass precision machining production lines.

Under the drive of digital twin technology, the integration of all elements, all processes and all business data of the entire simulation production line and the actual production line by bidirectional real mapping and real-time information interaction between the virtual simulation platform and the production line physical equipment. And finally complete the development and construction of the entire glass precision processing production line.

Preferably, as shown in FIGS. 2 and 3, the down command channel test comprises the following steps A1 to A5.
Step A1:
The physical unit 2 of the network passes through four PLC control networks via an exchange interface in the form of I / O point information, and is bound (coupled) to the I / O point of the software PLC module of the corresponding unit simulation model. The physical unit 2 of the network is driven by the PLC control network 4.

Step A2: The host computer 3 transmits an actual production information command to the four unit management modules 17 via Industrial Ethernet.

Step A3: The four unit management modules 17 convert the received actual production information commands into device commands, and transfer the device commands to the glass precision machining production line simulation model 15 via the OPC protocol and the database communication mechanism. Send.
The unit management module 17 corresponding to the physical unit 2 of the network simultaneously transmits a device command to the PLC control network 4.

Step A4: The glass precision machining production line simulation model 15 performs glass precision machining simulation production based on the received device command, and the PLC control network 4 is based on the received device command of the physical unit 2 of the network. Driving the operation and utilizing the digital twin technology, the corresponding unit simulation model and the physical unit 2 of the network operate synchronously.

Step A5: The host computer 3 constructs a simulation model view, and inspects the operating state of the glass precision machining production line simulation model 15 through the simulation model view, whereby the physical unit 2 of the network is subjected to the operation state. It is inspected whether or not it is operating based on the actual production information command.

The physical unit 2 of the network first independently performs a vertical integration test on each single physical equipment 25 after the design and manufacture are completed and before being transported to the customer site.
Subsequently, all the single machine physical equipments 25 are connected to the whole through the physical interface based on the set glass production technology process, and the horizontal integration test is carried out.
Here, in the vertical integration test, the down command channel test is first performed, and then the up information channel test is performed.
In the horizontal integration test, first the physical operation connection test between equipment is carried out, and then the state information transmission test between units is carried out.

The down command channel test is used to check whether the physical unit 2 of the network is operating based on the actual production information command.
The unit management module 17 converts the received actual production information command into an equipment command, and at the same time transmits it to the glass precision machining production line simulation model 15 and the PLC control network 4.
The PLC control network 4 drives the operation of the physical unit 2 of the network based on the received device command, and realizes management and control of the physical unit 2 of the network.
The host computer 3 inspects the operating state of the glass precision machining production line simulation model 15 via the simulation model view, whereby the operation of the physical unit 2 of the network operates based on the actual production information command. Inspect the physical unit 2 of the network, perform logic verification and control test, quickly identify the failure, identify the cause, eliminate possible design errors, and perform the physical of the network. Verify in advance whether the unit 2 meets the actual production requirements, and based on the test results, optimize and improve the design solution for the physical unit 2 of the network, avoid rework, and work in parallel. This can significantly reduce the time and cost of field debugging and testing.

Preferably, as shown in FIGS. 2 and 3, the up-information channel test comprises the following steps B1 through B3.
Step B1: The glass precision machining production line simulation model 15 performs glass precision machining simulation production based on the received equipment command, and using the digital twin technology, the corresponding unit simulation model and the physical unit 2 of the network are Synchronous operation.

Step B2: The PLC control network 4 collects the state information of all the single physical equipments 25 of the network by the SCADA system (that is, the data collection and monitoring control system), and collects the collected state information. Upload to host computer 3.

Step B3: The state information received by the host computer 3 is compared with the state information collected by the PLC control network 4, and it is inspected whether or not there is an exact match.

The up information channel test can be performed on the physical unit 2 of the network based on the actual production information command, that is, after the down command channel test is completed, the physical unit 2 of the network can perform the up information channel test. It is inspected whether or not the operating state information is fed back to the host computer 3 in real time.
The PLC control network 4 collects the state information of all the single physical equipments 25 of the network by the SCADA system (that is, the data collection and monitoring control system), and the collected state information is used as the host computer 3. Upload to the MES system of.
The MES system of the host computer 3 adjusts parameters for the automation process based on the feedback status information, transmits the next actual production information command, integrates the equipment status information, and integrates the control system and the equipment. To realize.

For example, the hollow pairing physical unit 24 is accessed by the glass precision processing production line simulation model 15.
The host computer 3 transmits an actual production information command, performs glass precision machining simulation production, and confirms whether or not the motions of the high-speed warehousing trolley and bottom car of the hollow pairing physical unit 24 and the corresponding single machine equipment model 16 match. We inspect whether the motion logic of the moving parts of the mastered hollow pairing physical unit 24 meets the motion requirements of the entire virtual line, thereby performing the hollow pairing physical unit 24 and glass precision machining production. Achieves a high degree of integration of the line simulation model 15, avoids control logic design errors in advance, and shortens the debug cycle to the customer end.

Preferably, as shown in FIGS. 2 and 4, the equipment-to-equipment physical operation connection test includes the following steps C1 to C4.
Step C1: All the single machine physical equipments 25 of the physical unit 2 of the network are connected via a physical interface based on the set glass production technology process to form one whole.

Step C2: The host computer 3 transmits an actual production information command to the four unit management modules 17 via Industrial Ethernet.

Step C3: The glass precision machining production line simulation model 15 performs glass precision machining simulation production based on the received device command, and the PLC control network 4 is based on the received device command of the physical unit 2 of the network. Driving the operation and utilizing the digital twin technology, the corresponding unit simulation model and the physical unit 2 of the network operate synchronously.

Step C4: In the host computer 3, the downstream single machine physical equipment always undertakes the machining operation of the upstream single machine physical equipment 25 in the physical unit 2 of the network through the simulation model view. Inspect whether or not.

In the inter-equipment physical operation connection test, after the vertical integration test is completed in each single machine physical equipment 25 of the physical unit 2 of the network, all the single machine physical equipment 25 are set in the glass production technology process. Based on, whether or not the downstream single machine physical equipment always undertakes the machining operation of the upstream single machine physical equipment 25 in the physical unit 2 of the network connected to the whole through the physical interface. inspect.
That is, the operation completeness and continuity between the equipments are inspected, and the production processing of the product based on the process in the glass precision processing production line is completed, and the smooth operation of the glass precision processing production line is guaranteed.

Preferably, as shown in FIGS. 2 and 4, the inter-unit state information transmission test includes the following steps D1 to D4.
Step D1: In the physical unit 2 of the network, the state information of each single physical equipment 25 is integrated into the data bus 5 via Industrial Ethernet.
The data bus 5 and the unit management module 17 are connected to each other, and status information is transmitted to the corresponding unit management module 17.

Step D2: The host computer 3 transmits an actual production information command to the four unit management modules 17 via Industrial Ethernet.

Step D3: The glass precision machining production line simulation model 15 performs glass precision machining simulation production based on the received device command, and the PLC control network 4 is based on the received device command of the physical unit 2 of the network. Driving the operation and utilizing the digital twin technology, the corresponding unit simulation model and the physical unit 2 of the network operate synchronously.

Step D4: Whether or not the operation of the glass precision machining production line simulation model 15 is smooth, and whether or not an operation delay or an operation error appears in the physical unit 2 of the network through the simulation model view. Whether or not the physical unit 2 of the network has received the state information of the upstream physical unit 2 in the glass precision machining simulation production, and the corresponding unit management module 17 has received the received state information. Based on this, it is inspected whether or not the machining operation of each single machine physical equipment 25 is controlled, and whether or not the physical unit 2 of the network transmits its own state information to the downstream physical unit 2.

After the completion of the inter-equipment physical operation connection test, an inter-unit state information transmission test is performed on the physical unit 2 of the network.
The four unit management modules 17 employ an OPC and a database access system interface to acquire system real-time data information, realize signal connection between the unit management modules 17, and information between the two unit management modules 17. Communicate data horizontally.
In the inter-unit state information transmission test, whether or not the physical unit 2 of the network can receive the state information of the upstream physical unit 2 during the glass precision machining simulation production, and the corresponding unit management module 17 further determines. Whether or not the machining operation of each single machine physical equipment 25 can be controlled based on the received state information, and the physical unit 2 of the network can transmit its own state information to the downstream physical unit 2. Inspect whether it is.
As a result, the control solution for the physical unit 2 of the network is adjusted and optimized, the smooth operation and normal operation of the entire production line are guaranteed, and the operation delay and the occurrence of uncertain errors in the flow production operation are avoided.

For example, in a glass precision processing production line, sensor signals and switch quantity information of a single physical equipment 25 of different physical units 2 such as a cutting machine, an edger, and a tempering furnace are transmitted via industrial Ethernet. , All integrated into the on-site bus, where equipment information is exchanged and interacted.
For example, a belt conveyor transports glass to the chamfer of an edger, the transported glass inspires a sensor on the belt conveyor, sensor information is transported to the edger via Industrial Ethernet, and the edger receives a sensor signal. After that, prepare for the chamfering operation of the glass.
At the same time, when the edger is performing a chamfering operation, information on the opening / closing amount (Switch quantity) is transmitted to the belt conveyor to stop the transfer of the flowing glass.

The horizontal integration test realizes horizontal transmission integration of information between the unit management module 17 and the single machine physical equipment 25, ensuring the smooth operation of the products on the glass precision processing production line.

Preferably, the 3D modeling step comprises the following steps E1 through E5.
Step E1: Perform 3D modeling on the single-machine physical equipment 25 of the four physical units 2, and based on the actual function and actual efficiency of the single-machine physical equipment 25, the single-machine physical equipment 25 The operation method and control method of the above are enclosed, and the standardized data interface and information interface are defined, thereby constructing the equipment 3D model base in the simulation system 1.
Here, the control method includes data collection and processing, sensor layout and control logic setting.

Step E2: In the simulation system 1, the layout model base corresponding to the glass precision processing production line industry is preset.

Step E3: Based on the design requirement information of the glass precision processing production line, an appropriate layout model is selected in the layout model base, a necessary equipment model is selected in the equipment 3D model base, and based on the layout model. A layout plan and an equipment model are combined for the glass precision processing production line.

Step E4: Based on the layout plan, the motion method, control solution, execution algorithm engine, and simulation dynamic operation solution of each stage of the glass precision machining production line are designed, and the initial line overall model and initial stage of the glass precision machining production line are designed. Generate an execution kernel.

Step E5: The simulation system 1 performs a dynamic simulation production process, optimizes the entire initial line model and the initial execution kernel, thereby generating the glass precision machining production line simulation model 15.

In the simulation system 1, a custom design platform is constructed to realize rapid customization of the entire line.
In the simulation system 1, the predetermined equipment 3D model base and layout model base are modularized and enclosed in a single physical equipment 25, and the glass precision processing production line simulation model 15 is quickly personalized and customized. And realize dynamic operation.

Utilization of the simulation system 1 in the design process of the glass precision machining production line: Based on the design requirement information of the glass precision machining production line, an appropriate layout model is selected in the layout model base, and it is necessary in the equipment 3D model base. Select a suitable equipment model.
The design requirement information of the glass precision processing production line includes a production capacity requirement, a factory site, a processing process, a production rhythm, a production plan, a technical plan, and a processing facility.
The layout model base is a production line initial layout solution designed by analysis based on several layout methods commonly used in the existing glass precision processing production industry, such as equipment resource allocation, entire line layout, and technical route. Including plans, etc.
The equipment resource allocation is the equipment required for each physical unit 2 and its quantity, and the technical route plan determines the standard working hours of each process based on the technical route of the product, and the processing equipment corresponding to each technology of the product. And analyze the technical relationship of operation.
The entire line layout is based on the company's factory space, product processing process and desired production capacity, with respect to existing equipment, intermediate equipment and equipment planned for input, rational spatial layout, physical interference analysis, distribution route. Make a plan, which will determine the layout of the entire line.
Subsequently, based on the layout model, the layout plan and the equipment model are combined for the glass precision processing production line, thereby shortening the design cycle, reducing human error, and improving the layout efficiency.

The initial line-wide model of step E4 includes a 3D model of the production line, a production line layout combination solution, an operation solution and a control solution.
The initial execution kernel includes mathematical modeling of the production line model, unit algorithms and line-wide scheduling algorithms.
Finally, the simulation system 1 executes a dynamic simulation production process, performs statistical analysis including efficiency analysis, load analysis, etc. on the effect of dynamic smart execution of the entire line, and compares the analysis structure with predetermined parameters. do.
If the requirements are not met, the entire initial line model and the initial execution kernel are modified to continue operation and analysis until the requirements are met.
As a result, the entire initial line model and the initial execution kernel are optimized, and the glass precision machining production line simulation model 15 is generated.

Preferably, the optimization of the entire initial line model and the initial execution kernel comprises the following steps E5.1 to E5.4.
Step E5.1: Build a command channel from the initial execution kernel to the initial line-wide model, build an information channel from the initial line-wide model to the initial execution kernel, thereby constructing the initial execution kernel and the initial stage. The entire line model realizes the interaction.

Step E5.2: The simulation system 1 executes a dynamic simulation production process, the initial execution kernel generates an actual production information command, and the entire initial line model is operated based on the actual production information command. The operation result is generated and the site information is fed back to the initial execution kernel.

Step E5.3: The operation efficiency and load are analyzed for the operation result, and based on the analysis result, the placement parameters of the entire initial line model and the algorithm structure of the initial execution kernel are optimized, thereby optimizing the line. Generate the whole model and the optimization execution kernel.

Step E5.4: The glass precision machining production line simulation model 15 is generated based on the entire optimization line model and the optimization execution kernel.

The initial execution kernel generates an actual production information command, whereby the initial line-wide model dynamic simulation production process can analyze the operation efficiency and load with respect to the operation result by the powerful data analysis ability of the simulation system 1. Achieve joint iterative and iterative optimization of design and operation, obtain the best overall line design solution, form a smart execution kernel for the entire line, and with the overall performance of the glass precision machining production line simulation model 15. Increase stability.

Preferably, in a system using the distributed integration method of the glass precision machining production line, the glass precision machining production line is divided into four physical units 2, as shown in FIG.
The four physical units 2 were designed, manufactured and tested in different regions, and the four physical units 2 were the original glass piece warehouse physical unit 21, the steel bin physical unit 22, and the tempering furnace. The glass piece array physical unit 23 and the hollow pairing physical unit 24 include a simulation system 1 and a host computer, and the simulation system 1 and the host computer construct a communication network via industrial Ethernet.

The simulation system 1 models each of the four physical units 23D, models all the single physical equipment 253D of each physical unit 2, and performs the original glass piece warehouse unit simulation model 11, A steel bin unit simulation model 12, a tempering furnace glass piece arrangement unit simulation model 13, and a hollow pairing unit simulation model 14 are formed.
Based on the design requirement information of the glass precision processing production line, in the simulation system 1, the original glass piece warehouse unit simulation model 11, the steel bin unit simulation model 12, the tempering furnace glass piece arrangement unit simulation model 13, and the hollow pairing unit simulation model. Assemble 14 to build a glass precision machining production line simulation model 15.

All single machine equipment model 16 of the glass precision machining production line simulation model 15 and the corresponding single machine physical equipment 25 of the glass precision machining production line are in perfect agreement, the concrete layout of the production line, each The appearance and form of the physical unit 2 and the layout of each sensor of the single physical equipment 25 are included.

Utilizing the digital twin technology, the single machine physical equipment 25 of each physical unit 2 communicates with the corresponding single machine equipment model 16 of the glass precision processing production line simulation model 15 via a communication interface in real time. Build an assembly line.

Four unit management modules 17 are installed in the simulation system 1, and the four unit management modules 17 are the original glass piece warehouse unit simulation model 11, the steel bin unit simulation model 12, and the tempering furnace glass piece arrangement unit simulation model 13. , Control the hollow pairing unit simulation model 14.

The host computer 3 transmits an actual production information command to the four unit management modules 17 via Industrial Ethernet.
In four physical units 2 in different regions, in different time sections, real-time communication and operation synchronization are constructed via the communication interface and the glass precision machining production line simulation model 15, and the host computer 3 is a network. An actual production information command is transmitted to the physical unit 2 and the glass precision machining production line simulation model 15, glass precision machining simulation production is performed, and a distributed integrated test is performed on the physical unit 2 of the network. It is inspected whether or not the no-load action condition of the physical unit 2 of the network meets a predetermined production requirement.

The distributed integration test includes a vertical integration test and a horizontal integration test.

The vertical integration test is composed of a down command channel test and an up information channel test, and in the down command channel test, the host computer 3 is subjected to the physical unit 2 of the network and the glass precision machining production line simulation model 15. When the actual production information command is transmitted, it is inspected whether or not the physical unit 2 of the network is operating based on the actual production information command.

The up information channel test checks whether or not the physical unit 2 of the network actually feeds back the operating state information to the host computer 3.

The horizontal integration test is composed of an inter-equipment physical operation connection test and an inter-unit state information transmission test, and the inter-equipment physical operation connection test is set by each single physical equipment 25 of the physical unit 2 of the network. It is inspected whether or not it is based on the glass production technology process of the above, and whether or not the downstream single-machine physical equipment 25 is constantly undergoing the processing operation of the upstream single-machine physical equipment 25.

In the inter-unit state information transmission test, whether or not the physical unit 2 of the network can receive the state information of the upstream physical unit 2 during the glass precision machining simulation production, and the corresponding unit management module 17 further determines. Whether or not the machining operation of each single machine physical equipment 25 can be controlled based on the received state information, and the physical unit 2 of the network can transmit its own state information to the downstream physical unit 2. Inspect whether it is.

The glass precision processing production line distributed integrated system realizes virtual physical synchronization of physical unit 2 (or single physical equipment 25) and its simulation model by digital twin technology, thereby achieving high performance and versatility. A high and expandable integrated physical and simulation distributed integrated test platform is constructed, and the time between the physical unit 2 (or single machine physical equipment 25) provided by each supplier and the glass precision machining production line simulation model 15. Supporting sharing, off-site integration and testing, whether the physical unit 2 (or single physical equipment 25) and the control logic of the simulation model meet the default design goals of the communication interface. Test whether the entire line motion plan and the corresponding unit system continuously improve the design and production of physical unit 2 (or single physical equipment 25) in the work and performance of the entire line. Reduces uncertainty between design and production, shortens the cycle of synchronized matching tests to the final customer, detects and avoids design hazards in advance, and significantly reduces costs such as site and fund occupancy. Reduce.

The glass precision machining production line distributed integrated system has an interaction and fusion action between the physical unit 2 (or single machine physical equipment 25) and the glass precision machining production line simulation model 15, and is used for the physical equipment of the entire line. Satisfying the integration, it determines whether the control logic and communication interface of the off-site fractionation test physical unit 2 (or single machine physical equipment 25) match the operation plan of the glass precision machining production line. By locally avoiding control logic and design logistics errors, we can continuously improve the design of physical unit 2 (or single physical equipment 25) to meet the operating needs of glass precision machining production lines.
Under the drive of digital twin technology, the integration of all elements, all processes and all business data of the entire simulation production line and the actual production line by bidirectional real mapping and real-time information interaction between the virtual simulation platform and the production line physical equipment. And finally complete the development and construction of the entire glass precision processing production line.

Preferably, as shown in FIG. 3, the PLC control network 4 is further included.
The physical unit 2 of the network is bound (coupled) to the I / O point of the software PLC module of the corresponding unit simulation model through the PLC control network 4 via the exchange interface in the form of I / O point information. The physical unit 2 of the network is driven by the PLC control network 4.

The unit management module 17 converts the received actual production information command into an equipment command, and transmits the equipment command to the glass precision machining production line simulation model 15 via the OPC protocol and the database communication mechanism.
The unit management module 17 corresponding to the physical unit 2 of the network simultaneously transmits a device command to the PLC control network 4.

The glass precision machining production line simulation model 15 performs glass precision machining simulation production based on the received equipment command.

The PLC control network 4 further drives the operation of the physical unit 2 of the network based on the received device command, and utilizing the digital twin technology, the corresponding unit simulation model and the physical unit 2 of the network are operated synchronously. do.

The SCADA system (that is, the data collection and monitoring control system) collects the state information of all the single physical equipment 25s in the network, and the collected state information is uploaded to the host computer 3.

The host computer 3 includes a configuration monitoring unit and a MES management unit, and the configuration monitoring unit constructs a simulation model view, and through the simulation model view, the operating state of the glass precision machining production line simulation model 15 is displayed. Inspect and thereby inspect whether the physical unit 2 of the network is operating based on the actual production information command.

The MES management unit compares the received status information with the status information collected by the PLC control network 4 and inspects whether or not there is an exact match.

The physical unit 2 of the network first independently performs a vertical integration test on each single physical equipment 25 after the design and manufacture are completed and before being transported to the customer site.
The host computer 3 inspects the operating state of the glass precision machining production line simulation model 15 via the simulation model view, whereby the operation of the physical unit 2 of the network operates based on the actual production information command. Inspect the physical unit 2 of the network, perform logic verification and control test, quickly identify the failure, identify the cause, eliminate possible design errors, and perform the physical of the network. Verify in advance whether the unit 2 meets the actual production requirements, and based on the test results, optimize and improve the design solution for the physical unit 2 of the network, avoid rework, and work in parallel. This can significantly reduce the time and cost of field debugging and testing.

The PLC control network 4 collects the state information of all the single physical equipments 25 of the network by the SCADA system (that is, the data collection and monitoring control system), and the collected state information is used as the host computer 3. Upload to the MES system of.
The MES system of the host computer 3 adjusts parameters for the automation process based on the feedback status information, transmits the next actual production information command, integrates the equipment status information, and integrates the control system and the equipment. To realize.

Preferably, as shown in FIG. 4, in the physical unit 2 of the network, based on the set glass production technology process, all the single machine physical equipment 25 are connected via the physical interface to form one whole. ..
Moreover, the status signals of each single physical equipment 25 are integrated into the data bus 5 via Industrial Ethernet.
The data bus 5 and the unit management module 17 are connected to each other, and status information is transmitted to the corresponding unit management module 17.

The configuration monitoring unit further, through the simulation model view, whether or not the downstream single machine physical equipment always undertakes the machining operation of the upstream single machine physical equipment 25 in the physical unit 2 of the network. Inspect.

The MES management unit further determines whether the operation of the glass precision machining production line simulation model 15 is smooth or not, and whether or not an operation delay or an operation error appears in the physical unit 2 of the network through the simulation model view. Based on the state information received by the corresponding unit management module 17, whether or not the physical unit 2 of the network received the state information of the upstream physical unit 2 in the glass precision machining simulation production. It is inspected whether or not the machining operation of each single physical equipment 25 is controlled, and whether or not the physical unit 2 of the network transmits its own state information to the downstream physical unit 2.

The physical unit 2 of the network independently performs a vertical integration test on each single machine physical equipment 25, and then physically performs all the single machine physical equipment 25 based on the set glass production technology process. Connect to the whole through the interface and perform the horizontal integration test.
Based on the set glass production technology process, it is connected to the whole through a physical interface, and in the physical unit 2 of the network, the downstream single machine physical equipment performs the processing operation of the upstream single machine physical equipment 25. Always inspect whether to undertake, that is, inspect the operational completeness and continuity between equipment, complete production of process-based products in the glass precision processing production line, smoothness of the glass precision processing production line Guarantee good driving.
Whether or not the physical unit 2 of the network can receive the state information of the upstream physical unit 2 during the glass precision machining simulation production, and further, the corresponding unit management module 17 is based on the received state information. It is inspected whether or not the machining operation of the physical equipment 25 of one machine can be controlled, and whether or not the physical unit 2 of the network can transmit its own state information to the physical unit 2 downstream.
As a result, the control solution for the physical unit 2 of the network is adjusted and optimized, the smoothness and normal operation of the entire production line are guaranteed, and the operation delay and the occurrence of uncertain errors in the flow production operation are avoided.

The embodiments of the present invention described above do not limit the present invention, and therefore, the scope protected by the present invention is based on the claims described later.

1 Simulation system 11 Original glass piece warehouse unit simulation model 12 Steel bottle unit simulation model 13 Baking furnace glass piece arrangement unit simulation model 14 Hollow pairing unit simulation model 15 Glass precision machining production line simulation model 16 Single machine equipment model 17 units Management module 2 Physical unit 21 Original glass piece Warehouse Physical unit 22 Steel bin physical unit
23 Tempering furnace glass piece array physical unit 24 hollow pairing physical unit 25 single machine physical equipment 3 host computer 4 PLC control network 5 data bus

Claims (10)

It is a distributed integration method for glass precision processing production lines.
The glass precision machining production line is divided into 4 physical units, 4 physical units are designed, manufactured and tested in different regions, 4 physical units are the original glass piece warehouse physical unit, steel bin physics. A unit (Steel bin physical unit), a tempering furnace glass piece array physical unit, and a hollow pairing physical unit, each of which is equipped with a single physical facility and includes the following steps. Distributed integration method for processing production lines.
In simulation system for each of the four physical unit connected to the network, performs a 3D modeling for every single machine physical facilities of each physical unit performs 3D modeling, the original glass pieces A warehouse unit simulation model, a steel bin unit simulation model, a tempering furnace glass piece array unit simulation model, a hollow pairing unit simulation model, and each single machine equipment model are formed, and simulation is performed based on the design requirement information of the glass precision processing production line. in the system, by combining the original glass pieces warehouse unit simulation model, steel bin unit simulation model, the tempering furnace the glass pieces arranged unit simulation model and hollow pairing unit simulation model was constructed of glass precision machining production line simulation model,
All single machine equipment models of the glass precision machining production line simulation model and the corresponding single machine physical equipment of the glass precision machining production line are in perfect agreement, and the glass precision machining production line simulation model is the production line. 3D modeling steps, including the concrete layout of each physical unit, the appearance and form of each physical unit, the layout of each sensor in a single machine physical equipment,
Based on a request glass production technology process, the simulation system, and organized the operation control script all single Machine model of the glass precision machining production line simulation model, via a script, the unit of One machine installation model The machining operation is linguistically controlled, and then the glass precision machining production line simulation model is operated offline in the simulation system.
The glass precision machining production line simulation model utilizes digital twin technology after successful offline operation, and the single physical equipment of each physical unit is the glass precision machining production line simulation model via the communication interface. Offsite virtual physics synchronization step to build real-time communication and operation synchronization with corresponding single equipment model,
In simulation system, established four unit management module, four of the unit management module, the original glass pieces warehouse unit simulation model, steel bin unit simulation model, tempering furnace glass pieces arranged unit simulation model, hollow pairing Control each unit simulation model,
A host computer is installed, and the host computer sends actual production information commands to the four unit management modules via Industrial Ethernet.
In four physical units in different regions, in different time sections, through the communication interface and the glass precision machining production line simulation model, real-time communication and operation synchronization are constructed, and the host computer is the physical unit of the network. And the glass precision machining production line simulation model, the actual production information command is sent, the glass precision machining simulation production is performed, the distributed integration test is performed on the physical unit of the network, and the physical unit of the network Inspect whether the no-load action condition meets the specified production requirements ,
The distributed integration test includes a vertical integration test and a horizontal integration test.
The vertical integration test consists of a down command channel test and an up information channel test, and the down command channel test shows the actual production information for the host computer to the physical unit of the network and the glass precision machining production line simulation model. When sending a command, it checks to see if the physical unit in the network is operating based on the actual production information command.
The up-information channel test checks whether the physical unit of the network provides real feedback of operating state information to the host computer.
The horizontal integration test consists of an inter-equipment physical operation connection test and an inter-unit state information transmission test, and the inter-equipment physical operation connection test is a glass set by each single physical equipment of the physical unit of the network. Inspect whether it is based on the production technology process and whether the downstream single machine physical equipment is constantly undergoing the machining operation of the upstream single machine physical equipment.
In the inter-unit state information transmission test, whether or not the physical unit of the network can receive the state information of the upstream physical unit during the glass precision machining simulation production, and further, the corresponding unit management module receives the state information. Based on the information, it is inspected whether the machining operation of each single machine physical equipment can be controlled, and whether the physical unit of the network can transmit its own state information to the downstream physical unit. Offsite Time Sharing Integrated Exam Steps . The distributed integration method for a glass precision processing production line according to claim 1, wherein the down command channel test includes the following steps A1 to A5.
The physical unit of network is in the form of I / O point information, via PLC control network via the exchange interface is bound (coupled) to the software PLC module I / O points of the unit simulation models corresponding thereto, the network The physical unit is driven by a PLC control network in step A1,
Said host computer via the Industrial Ethernet, step A2 to be transmitted to four of the unit management module, the actual production information command,
Each of the four unit management modules converts the received actual production information command into a device command, and transmits the device command to the glass precision machining production line simulation model via the OPC protocol and the database communication mechanism to transmit the device command to the network. The unit management module corresponding to the physical unit simultaneously transmits the device command to the PLC control network in step A3.
The glass precision machining production line simulation model performs glass precision machining simulation production based on the received equipment command, and the PLC control network drives the operation of the physical unit of the network based on the received equipment command and digitally. Using twin technology, the corresponding unit simulation model and the physical unit of the network operate synchronously in step A4,
The host computer builds a simulation model view and inspects the operating state of the glass precision machining production line simulation model through the simulation model view, whereby the physical unit of the network is sent to the actual production information command. Step A5 to check whether the operation is based on the above. The distributed integration method for a glass precision processing production line according to claim 2, wherein the up-information channel test includes the following steps B1 to B3.
The glass precision machining production line simulation model performs glass precision machining simulation production based on the received equipment command, and uses digital twin technology to synchronize the corresponding unit simulation model with the physical unit of the network in step B1. ,
The PLC control network collects the state information of all the single physical equipments of the network by the SCADA system (that is, the data collection and monitoring control system), and uploads the collected state information to the host computer. Step B2,
Step B3 of status information and the PLC control network to which the host computer is received by comparing the collected condition information, completely inspect whether match. The distributed integration method for a glass precision processing production line according to claim 2, wherein the equipment-to-equipment physical operation connection test includes the following steps C1 to C4.
Network of every single machine physical facilities of the physical unit, based on a glass production technology process that has been set through the physical interface, step C1 to form the entire one connected,
Said host computer via the Industrial Ethernet, for four of the unit management module, the step C2 of transmitting the actual production information command,
The glass precision machining production line simulation model performs glass precision machining simulation production based on the received equipment command, and the PLC control network drives the operation of the physical unit of the network based on the received equipment command and digitally. Using twin technology, the corresponding unit simulation model and the physical unit of the network operate synchronously in step C3,
Step said host computer via the simulation model view, in the physical unit of the network, downstream of the single machine physical equipment, checking whether the upstream of the processing operation of a single machine physical facilities always assume C4 . The distributed integration method for a glass precision processing production line according to claim 2, wherein the inter-unit state information transmission test includes the following steps D1 to D4.
In the physical unit of the network, status information of each single machine physical equipment via the Industrial Ethernet, is integrated into the data bus, the data bus and the unit management module is connected, the corresponding unit manages the status information Step D1 to transmit to the module,
Said host computer via the Industrial Ethernet, step D2 to be transmitted to four of the unit management module, the actual production information command,
The glass precision machining production line simulation model performs glass precision machining simulation production based on the received equipment command, and the PLC control network drives the operation of the physical unit of the network based on the received equipment command and digitally. Using twin technology, the corresponding unit simulation model and the physical unit of the network operate synchronously in step D3,
Said host computer via the simulation model view, the glass precision machining production line simulation model operates either smooth or not, checks whether the physical unit in operation delay or operation error of the network does not appear, thereby Whether or not the physical unit of the network received the state information of the upstream physical unit in the glass precision machining simulation production, and the corresponding unit management module based on the received state information of each single machine physical equipment. Step D4 to check whether the machining operation is controlled and whether the physical unit of the network transmits its own state information to the downstream physical unit. The distributed integration method for a glass precision processing production line according to claim 1, wherein the 3D modeling step includes the following steps E1 to E5.
For a single machine physical facilities of the four physical unit performs 3D modeling, based on the actual efficiency and actual function of a single machine physical facilities, operating system and control method of a single machine physical facilities Encapsulation, standardized data interface and information interface are defined, thereby constructing the equipment 3D model base in the simulation system, the control method includes data collection and processing, sensor layout and control logic setting. Step E1,
In simulation system, step E2 to preset the layout model base corresponding to the glass precision processing production line,
Based on design requirements information glass precision machining production line, in the layout model based, select the appropriate layout model, in said equipment 3D model-based, select the equipment models required, based on the layout model, the glass Step E3, which combines the layout plan and equipment model for the precision machining production line,
On the basis of the layout plan, each phase of movement method of the glass precision machining production line, control solutions, execution algorithm engine, designed to simulate the dynamic operating solution, the initial line entire model and initial running kernel of the glass precision machining production line Step E4 to generate,
In the simulation system performs dynamic simulation production process, optimizes against initial line entire model and initial running kernel, thereby producing the glass precision machining production line simulation model step E5. The distributed integration method for a glass precision processing production line according to claim 6, wherein the optimization of the entire initial line model and the initial execution kernel includes the following steps E5.1 to E5.4.
Constructs a command channel from the initial execution kernel until initial line entire model, building information channels from the initial line entire model to the initial running kernel is thereby initial running kernel and initial line entire model, Step E5.1 to realize the interaction,
In the simulation system, a dynamic simulation production process is executed, the initial execution kernel generates an actual production information command, and the entire initial line model is operated based on the actual production information command to generate an operation result. Step E5.2, which feeds back the site information to the initial execution kernel.
For the operation result, the operation efficiency and load are analyzed, and based on the analysis result, the placement parameters of the initial line whole model and the algorithm structure of the initial execution kernel are optimized, thereby optimizing the optimization line whole model and optimization. Step E5.3 to generate the execution kernel,
Based on the optimized line entire model and optimization run kernel to generate the glass precision machining production line simulation model step E5.4. Glass precision machining production line is divided into four physical units, four physical units, designed in different regions respectively, is performed to manufacture and test, four physical units original glass pieces warehouse physical unit, steel bottle Physical unit (Steel bin physical unit), tempering furnace glass piece array physical unit, hollow pairing physical unit, each physical unit is equipped with a single physical equipment.
The simulation system and the host computer include a simulation system and a host computer, and the simulation system and the host computer construct a communication network via Industrial Ethernet.
The simulation system performs 3D modeling for each of the four physical units connected to the network, 3D modeling for all single machine physical equipment of each physical unit, and the original glass piece warehouse. A unit simulation model, a steel bin unit simulation model, a tempering furnace glass piece array unit simulation model, a hollow pairing unit simulation model, and each single machine equipment model are formed, and a simulation system is based on the design requirement information of the glass precision machining production line. in, by combining the original glass pieces warehouse unit simulation model, steel bin unit simulation model, the tempering furnace the glass pieces arranged unit simulation model and hollow pairing unit simulation model was constructed of glass precision machining production line simulation model,
All single machine equipment models of the glass precision machining production line simulation model and the corresponding single machine physical equipment of the glass precision machining production line are in perfect agreement, and the glass precision machining production line simulation model is the production line. Includes the specific layout of each physical unit, the appearance and form of each physical unit, the layout of each sensor in a single physical facility,
Using digital twin technology, the single machine physical equipment of each physical unit can perform real-time communication and operation synchronization with the corresponding single machine equipment model of the glass precision processing production line simulation model via the communication interface. Build and
The simulation system has four unit management modules installed, and the four unit management modules are the original glass piece warehouse unit simulation model, steel bin unit simulation model, tempering furnace glass piece arrangement unit simulation model, and hollow pairing unit. Control each simulation model,
The host computer sends actual production information commands to the four unit management modules via Industrial Ethernet.
In four physical units in different regions, in different time sections, through the communication interface and the glass precision machining production line simulation model, real-time communication and operation synchronization are constructed, and the host computer is the physical unit of the network. And the glass precision machining production line simulation model, the actual production information command is sent, the glass precision machining simulation production is performed, the distributed integration test is performed on the physical unit of the network, and the physical unit of the network Inspect whether the no-load action condition meets the specified production requirements,
The distributed integration test includes a vertical integration test and a horizontal integration test.
The vertical integration test consists of a down command channel test and an up information channel test, and the down command channel test shows the actual production information for the host computer to the physical unit of the network and the glass precision machining production line simulation model. When sending a command, it checks to see if the physical unit in the network is operating based on the actual production information command.
The up-information channel test checks whether the physical unit of the network provides real feedback of operating state information to the host computer.
The horizontal integration test consists of an inter-equipment physical operation connection test and an inter-unit state information transmission test, and the inter-equipment physical operation connection test is a glass set by each single physical equipment of the physical unit of the network. Inspect whether it is based on the production technology process and whether the downstream single machine physical equipment is constantly undergoing the machining operation of the upstream single machine physical equipment.
In the inter-unit state information transmission test, whether or not the physical unit of the network can receive the state information of the upstream physical unit during the glass precision machining simulation production, and further, the corresponding unit management module receives the state information. Based on the information, it is inspected whether the machining operation of each single machine physical equipment can be controlled, and whether the physical unit of the network can transmit its own state information to the downstream physical unit. A glass precision processing production line distributed integration system using the distributed integration method of the glass precision processing production line according to claim 1. The glass precision machining production line dispersion equation integrated system further seen including a PLC control network
The physical unit of the network is bound (coupled) to the I / O point of the software PLC module of the corresponding unit simulation model through the PLC control network via the exchange interface in the form of I / O point information. The physical unit is driven by a PLC control network
The unit management module converts the received actual production information command into an instrument command, transmits the instrument command to the glass precision machining production line simulation model via the OPC protocol and the database communication mechanism, and the physical of the network. The unit and the corresponding unit management module simultaneously send device commands to the PLC control network.
The glass precision machining production line simulation model performs glass precision machining simulation production based on the received equipment command.
The PLC control network further drives the operation of the physical unit of the network based on the received device command, and utilizes digital twin technology to synchronize the corresponding unit simulation model with the physical unit of the network.
The SCADA system (ie, data collection and monitoring control system) collects state information for all single physical equipment in the network and uploads the collected state information to the host computer.
The host computer includes a configuration monitoring unit and a MES management unit, which constructs a simulation model view and inspects the operating state of the glass precision machining production line simulation model through the simulation model view. This inspects whether the physical unit of the network is operating based on the actual production information command.
The glass precision processing production line distributed integrated system according to claim 8, wherein the MES management unit compares the received state information with the state information collected by the PLC control network, and inspects whether or not there is an exact match. In the physical unit of the network, based on the set glass production technology process, all the single machine physical equipment are connected through the physical interface to form one whole, and each single machine physical equipment. The state information is integrated into the data bus via industrial Ethernet, the data bus and the unit management module are connected, and the state information is transmitted to the corresponding unit management module.
Through the simulation model view, the configuration monitoring unit further determines whether or not the downstream single-machine physical equipment always undertakes the machining operation of the upstream single-machine physical equipment in the physical unit of the network. Inspect and
The MES management unit further checks through the simulation model view whether the operation of the glass precision machining production line simulation model is smooth, and whether operation delay or operation error appears in the physical unit of the network. As a result, whether or not the physical unit of the network received the state information of the upstream physical unit in the glass precision machining simulation production, and the corresponding unit management module based on the received state information, each single machine physics. The glass according to claim 9, wherein it is inspected whether or not the processing operation of the equipment is controlled and whether or not the physical unit of the network transmits its own state information to the downstream physical unit. Precision machining production line distributed integrated system.

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