WO2019076232A1

WO2019076232A1 - Distributed integration method and system for glass deep-processing production line

Info

Publication number: WO2019076232A1
Application number: PCT/CN2018/109854
Authority: WO
Inventors: 刘强; 严都喜; 魏丽军; 陈新; 张定
Original assignee: 广东工业大学
Priority date: 2017-10-17
Filing date: 2018-10-11
Publication date: 2019-04-25
Also published as: DE112018002431T5; JP6935107B2; JP2020522812A; CN107807539B; CN107807539A

Abstract

A distributed integration method and system for a glass deep-processing production line. Four physical units (2) in different regions establish real-time communication and synchronization actions by means of a communication interface and a glass deep processing production line simulation model (15) in different time periods. An upper computer (3) transmits an actual production information instruction to perform glass deep-processing simulation production, perform a distributed integration test on networked physical units (2), and detect whether the no-load action situation of the networked physical units (2) meets preset production requirements. The distributed integration test comprises a longitudinal integration test and a transverse integration test. Under the drive of a digital twin technology, integration and fusion of total factors, full process, and full service data of a whole simulation production line and a whole physical production line can be implemented by bidirectional real mapping and real-time information interaction of a virtual simulation platform and physical equipment of the production line, thereby finally completing the deployment and establishment of the whole glass deep-processing production line.

Description

Distributed integration method and system for glass deep processing production line

Technical field

The invention relates to the technical field of glass processing automation, in particular to a distributed integration method and system for a glass deep processing production line.

Background technique

The glass deep processing production line is a production line of glass products with specific functions made by secondary processing of glass, that is, flat glass which is formed once, as a basic raw material, according to the use requirements, using different processing techniques. The final verification of the design scheme of the glass deep processing production line requires the integration of each unit equipment, the establishment of a control system, and the implementation of the joint adjustment test. However, different devices are customized to be produced by different manufacturers. When the whole line layout is completed, each unit needs to be integrated. The distributed integration mainly includes data integration, process integration and application integration. In order to avoid excessive integration test cycle and reduce capital and site occupation cost, the whole line is sent to the customer's enterprise, and it is always desirable to perform segmentation test between devices of different suppliers and between the equipment and the whole line ( Communication test, control network test, complete line test).

However, the current test platform is limited to the test and verification of performance and function of the single machine. The remote integration test between the device and the device is limited to simple communication test through the network. On the one hand, the real-time performance is poor, so that the virtual operation process of the whole line cannot be simulated. In the production process, on the other hand, the special equipment of each process section is simply spliced, which is limited to the communication test and cannot be tested for cooperation. The integration and testing of the entire line can only be carried out after the physical equipment is assembled in the field, and the joint debugging test can not be carried out, and the integration and testing of the off-site segmentation cannot be realized.

Summary of the invention

The object of the present invention is to provide a distributed integration method and system for a glass deep processing production line, which can realize time-sharing and off-site integration and testing, reduce the uncertainty between design and manufacturing, and shorten the joint adjustment to the terminal customer. The cycle of joint testing, early detection and avoidance of design hazards, drastically reduce site costs and capital occupation costs.

To this end, the present invention employs the following technical solutions:

A distributed integration method for a glass deep processing production line, the glass deep processing production line is divided into four physical units, and four of the physical units are respectively designed, manufactured and tested in different regions, and the four physical units are original physical warehouses. The unit, the tempered physical unit, the tempered grate solid unit and the hollow paired physical unit comprise the following steps:

The three-dimensional modeling step is to perform three-dimensional modeling on the four physical units in the simulation system, respectively, including three-dimensional modeling of all the single physical devices in each of the physical units, forming an original film bin unit simulation model and a tempered bin unit. Simulation model, tempered furnace row unit simulation model and hollow pairing unit simulation model, and according to the design requirements of glass deep processing production line, the original film warehouse unit simulation model, tempered warehouse unit simulation model, tempered furnace row unit simulation model and hollow in the simulation system The pairing unit simulation model is assembled and built into a glass deep processing production line simulation model;

All the single-machine equipment models in the glass deep-processing production line simulation model are identical to the corresponding single-machine physical equipment in the glass deep-processing production line, including the specific layout of the production line, the appearance and shape of each physical unit, and the sensors of the single-machine physical equipment. Arrange

In the remote real-time synchronization step, according to the requirements of the glass production process flow, the action control scripts of all the stand-alone device models in the simulation model of the glass deep-processing production line are compiled in the simulation system, and the processing action of the single-machine device model is controlled by the script language, and then the The glass deep processing production line simulation model is run offline in the simulation system;

After the glass deep processing production line simulation model is successfully run offline, using the digital twinning technology, the single physical device of each physical unit establishes real-time communication and motion synchronization through the communication interface and the corresponding single-machine device model in the glass deep processing production line simulation model. ;

Different time-division integration test steps, four unit control modules are set in the simulation system, and the four unit control modules respectively control the original film bin unit simulation model, the tempered bin unit simulation model, the tempering furnace row unit simulation model and the hollow pairing unit simulation model;

Setting a host computer, and the host computer sends an actual production information instruction to the four unit control modules through the industrial Ethernet;

The four physical units in different regions establish real-time communication and motion synchronization through the communication interface and the glass deep processing production line simulation model at different time periods, and the upper computer performs deep processing on the physical unit and the glass. The production line simulation model sends the actual production information instruction, performs the glass deep processing simulation production, performs distributed integration test on the networked physical unit, and detects whether the no-load effect of the networked physical unit meets the preset production requirement;

The distributed integration test includes vertical integration test and horizontal integration test;

The vertical integration test consists of a downlink command channel test and an uplink information channel test. The downlink command channel test is used to detect when the upper computer sends the actual production information instruction to the networked physical unit and the glass deep processing production line simulation model. Whether the physical unit is in accordance with the actual production information instruction;

The uplink information channel test is to detect whether the physical unit of the network actually feeds back the running status information to the upper computer;

The horizontal integration test is composed of an inter-device physical action connection test and an inter-unit state information transmission test, wherein the inter-device physical action connection test is to detect whether each single physical device in the physical unit is connected according to a set glass production process. Process, whether the downstream single-machine physical equipment always undertakes the processing action of the upstream single-machine physical equipment;

The inter-cell state information transmission test is to detect whether the physical unit in the network can receive the state information of the upstream physical unit in the glass deep processing simulation production, and whether the corresponding unit management module can be based on the received state information. Controlling the processing actions of the individual stand-alone physical devices, and whether the physical unit being networked can transmit its own state information to the downstream physical unit.

Preferably, the downlink instruction channel test comprises the following steps:

Step A1, the physical unit of the network is bound by the PLC control network through the switch interface, in the form of I/O point information, and the I/O point of the soft PLC module of the corresponding unit simulation model is bound, The physical unit is driven by the PLC control network;

Step A2, the upper computer sends an actual production information instruction to the four unit management modules through the industrial Ethernet;

Step A3, the four unit control modules respectively convert the received actual production information instructions into machine instructions, and send the machine instructions to the glass deep processing production line simulation model through the OPC protocol and the database communication mechanism, and the networked The unit management module corresponding to the physical unit simultaneously delivers the machine instruction to the PLC control network;

Step A4, the glass deep processing production line simulation model performs glass deep processing simulation production according to the received machine instruction, and the PLC control network drives the networked physical unit to operate according to the received machine instruction, using digital twinning technology, corresponding unit The simulation model and the networked physical unit operate synchronously;

In step A5, the host computer establishes a simulation model view, and detects an operation state of the glass deep processing production line simulation model through the simulation model view, thereby detecting whether the networked physical unit operates according to the actual production information instruction.

Preferably, the uplink information channel test comprises the following steps:

Step B1, the glass deep processing production line simulation model performs glass deep processing simulation production according to the received machine instruction, and uses the digital twinning technology, the corresponding unit simulation model and the networked physical unit to operate synchronously;

Step B2, the PLC control network collects state information of all the networked physical devices through the SCADA system (ie, the data acquisition and monitoring control system), and uploads the collected state information to the upper computer;

In step B3, the status information received by the upper computer and the status information collected by the PLC control network are compared to detect whether the consistency is completed.

Preferably, the inter-device physical action connection test comprises the following steps:

Step C1, all the single physical devices of the physical unit connected to the network are connected into a whole through a physical interface according to a set glass production process flow;

Step C2, the upper computer sends an actual production information instruction to the four unit management modules through the industrial Ethernet;

Step C3, the glass deep processing production line simulation model performs glass deep processing simulation production according to the received machine instruction, the PLC control network drives the networked physical unit operation according to the received machine instruction, and uses digital twinning technology, corresponding unit The simulation model and the networked physical unit operate synchronously;

In step C4, the host computer detects, through the simulation model view, whether the downstream single-machine physical device always undertakes the processing action of the upstream single-machine physical device in the physical unit that is connected to the network.

Preferably, the inter-cell state information transmission test comprises the following steps:

Step D1, in the physical unit of the network, the state information of each single physical device is integrated into the data bus through the industrial Ethernet, the data bus is connected with the unit management module, and the state information is transmitted to the corresponding unit management module;

Step D2, the upper computer sends an actual production information instruction to the four unit control modules through the industrial Ethernet;

Step D3, the glass deep processing production line simulation model performs glass deep processing simulation production according to the received machine instruction, and the PLC control network drives the networked physical unit to operate according to the received machine instruction, using digital twinning technology, corresponding unit The simulation model and the networked physical unit operate synchronously;

Step D4, the upper computer checks whether the action of the glass deep processing production line simulation model is smooth through the simulation model view, whether the physical unit of the network has an action delay or an operation error, thereby detecting that the physical unit of the network is in the In the glass deep processing simulation production, can the state information of the upstream physical unit be received, and whether the corresponding unit management module can control the processing action of each single physical device according to the received state information, and whether the physical unit of the network is connected It can transmit its own status information to the downstream physical unit.

Preferably, the three-dimensional modeling step comprises:

Step E1: performing three-dimensional modeling on the single physical device of the four physical units, and performing the encapsulation of the action mode and the control mode of the single physical device according to the actual function and actual efficiency of the single physical device, and defining a standardized data interface and information. An interface, thereby establishing a three-dimensional model library of the device in the simulation system; wherein the control manner includes data collection and processing, sensor arrangement, and control logic setting;

Step E2, preset a layout model library corresponding to the glass deep processing production line industry in the simulation system;

Step E3: selecting a suitable layout model in the layout model library and selecting a required device model in the device 3D model library according to design requirement information of the glass deep processing production line, and on the basis of the layout model The glass deep processing production line is used for layout planning and equipment model assembly;

Step E4: design, according to the layout plan, a motion mode, a control scheme, an execution algorithm engine, and a simulation dynamic operation scheme of each link in the glass deep processing production line, and generate an initial complete line model and an initial execution kernel of the glass deep processing production line;

In step E5, a dynamic simulation production process is performed on the simulation system, and the initial complete line model and the initial execution kernel are optimized to generate the glass deep processing production line simulation model.

Preferably, optimizing the initial line model and the initial execution kernel comprises:

Step E5.1, establishing an instruction channel of the initial execution kernel to the initial line model, establishing an information channel of the initial line model to the initial execution kernel, so that the initial execution kernel and the initial The entire line model implements interaction;

Step E5.2, performing a dynamic simulation production process on the simulation system, the initial execution kernel generates an actual production information instruction, the initial complete line model is executed according to the actual production information instruction, and the operation result is generated to generate on-site information. Feedback to the initial execution kernel;

In step E5.3, the running result and the load are analyzed, and the configuration parameters of the initial full-line model and the algorithm structure of the initial execution kernel are optimized according to the analysis result, thereby generating an optimized whole line model and an optimized execution kernel;

Step E5.4, generating the glass deep processing production line simulation model according to the optimized whole line model and the optimized execution kernel.

Preferably, a system using the distributed integration method of the glass deep processing line,

The glass deep processing production line is divided into four physical units, and the four physical units are designed, manufactured and tested in different regions. The four physical units are the original physical unit, the tempered solid unit, and the tempered furnace. a physical unit and a hollow paired physical unit;

The simulation system and the host computer are included, and the simulation system and the host computer establish a communication network through the industrial Ethernet;

The simulation system is configured to respectively perform three-dimensional modeling on four physical units, including three-dimensional modeling of all the single physical devices in each of the physical units, forming a simulation model of the original film bin unit, and simulating the steel bin unit. The model, the tempered furnace row unit simulation model and the hollow pairing unit simulation model, and according to the design requirements of the glass deep processing production line, the original film bin unit simulation model, the tempered bin unit simulation model, the tempered furnace row unit simulation model and the hollow pairing are simulated in the simulation system. The unit simulation model is assembled and built into a glass deep processing production line simulation model;

Using the digital twinning technology, the single physical device of each of the physical units establishes real-time communication and motion synchronization through a communication interface and a corresponding single-machine device model in the glass deep processing production line simulation model;

The simulation system is provided with four unit control modules, and the four unit control modules respectively control the original film bin unit simulation model, the tempered bin unit simulation model, the tempering furnace row unit simulation model and the hollow pairing unit simulation model;

The upper computer is configured to send an actual production information instruction to the four unit management modules through the industrial Ethernet;

Preferably, the PLC control network is further included, and the physical unit connected by the PLC is controlled by the PLC control network through the switch interface, and is tied with the I/O point of the soft PLC module of the corresponding unit simulation model in the form of I/O point information. The physical unit of the network is driven by the PLC control network;

The unit management module is configured to convert the received actual production information instruction into a machine instruction, and send the machine instruction to the glass deep processing production line simulation model through an OPC protocol and a database communication mechanism, and the networked The unit management module corresponding to the physical unit sends the machine instruction to the PLC control network at the same time;

The glass deep processing production line simulation model is used for performing glass deep processing simulation production according to the received machine instruction;

The PLC control network is further configured to drive the physical unit operation of the network according to the received machine instruction, and use a digital twinning technology, a corresponding unit simulation model, and the networked physical unit to operate synchronously;

And for collecting the status information of all the networked physical devices through the SCADA system (ie, the data acquisition and monitoring control system), and uploading the collected status information to the upper computer;

The upper computer includes a configuration monitoring unit and a MES management unit, wherein the configuration monitoring unit is configured to establish a simulation model view, and detect, by using the simulation model view, an operation state of the glass deep processing production line simulation model, thereby detecting the networked Determining whether the physical unit operates according to the actual production information instruction;

The MES management unit is configured to compare the received status information with the status information collected by the PLC control network to detect whether the consistency is completed.

Preferably, in the physical unit of the networking, according to the set glass production process flow, all the single physical devices are connected into one whole through a physical interface; and the state information of each single physical device is integrated into the data bus through the industrial Ethernet. The data bus is connected to the unit management module, and transmits the status information to the corresponding unit management module;

The configuration monitoring unit is further configured to detect, by using the simulation model view, whether the downstream single physical device in the networked physical unit always undertakes the processing action of the upstream single physical device;

The MES management unit is further configured to view, by using the simulation model view, whether the action of the glass deep processing production line simulation model is smooth, whether the physical unit of the network has an action delay or an operation error, thereby detecting the networked physical unit. In the glass deep processing simulation production, whether the state information of the upstream physical unit can be received, and whether the corresponding unit management module can control the processing action of each single physical device according to the received state information, and the physical unit of the network Whether it can transmit its own status information to the downstream physical unit.

The distributed integration method of the glass deep processing production line satisfies the interaction and integration of the physical unit (or single physical equipment) and the glass deep processing production line simulation model, the integration of the whole line physical equipment, and the off-site segmentation test physical unit (or single physical equipment) Whether the control logic and the communication interface conform to the motion planning of the glass deep processing production line, the partial avoidance control logic, and the design logistics error. Continuously improve the design of physical unit (or single physical equipment) to meet the motion requirements of glass deep processing production line. Under the driving of digital twinning technology, realize the simulation production through the bidirectional real mapping and real-time information interaction between the virtual simulation platform and the physical equipment of the production line. The integration and integration of the full-element, full-process and full-service data of the entire line and the physical production line complete the deployment and construction of the entire glass deep processing production line.

DRAWINGS

The drawings further illustrate the invention, but the contents of the drawings do not constitute any limitation of the invention.

1 is a flow chart of distributed integration of a glass deep processing production line according to an embodiment of the present invention;

Figure 2 is a schematic diagram of the operation of the system of one embodiment of the present invention;

Figure 3 is a schematic diagram of a longitudinal integration test of one embodiment of the present invention;

4 is a schematic diagram of a lateral integration test of one embodiment of the present invention.

Wherein: physical unit 2; original film bin physical unit 21; tempered bin physical unit 22; tempered grate solid object unit 23; hollow mating physical unit 24; simulation system 1; single physical device 25; original film bin unit simulation model 11; Warehouse unit simulation model 12; tempering furnace row unit simulation model 13; hollow pairing unit simulation model 14; glass deep processing production line simulation model 15; stand-alone equipment model 16; unit management module 17; host computer 3; PLC control network 4; data bus 5 .

Detailed ways

The technical solution of the present invention will be further described below with reference to the accompanying drawings and specific embodiments.

The distributed integration method of the glass deep processing production line of the embodiment, the glass deep processing production line is divided into four physical units 2, and the four physical units 2 are respectively designed, manufactured and tested in different regions, and the four physical units 2 The original sheet bin physical unit 21, the tempered bin physical unit 22, the tempered grate solid object unit 23 and the hollow mating physical unit 24, as shown in FIG. 1, include the following steps:

The three-dimensional modeling step is to perform three-dimensional modeling on the four physical units 2 in the simulation system 1, respectively, including three-dimensional modeling of all the single physical devices 25 in each of the physical units 2 to form an original film bin unit simulation model. 11. The tempering bin unit simulation model 12, the tempering furnace row unit simulation model 13 and the hollow pairing unit simulation model 14, and according to the design requirements of the glass deep processing production line, the original film bin unit simulation model 11 and the tempered bin unit simulation are simulated in the simulation system 1 Model 12, tempered furnace row unit simulation model 13 and hollow pairing unit simulation model 14 are assembled, and a glass deep processing production line simulation model 15 is built;

All the single-machine equipment models 16 in the glass deep-processing production line simulation model 15 and the corresponding single-machine physical equipment 25 in the glass deep-processing production line are completely identical, including the specific layout of the production line, the appearance and shape of each physical unit 2, and the single-machine physical equipment. The arrangement of each sensor in 25;

In the remote real-time synchronization step, according to the requirements of the glass production process flow, the simulation control system 1 compiles the action control scripts of all the single-machine device models 16 in the glass deep-processing production line simulation model 15, and controls the processing action of the single-machine device model 16 through the script language. And then the glass deep processing line simulation model 15 is run offline in the simulation system 1;

After the glass deep processing production line simulation model 15 is successfully run offline, using the digital twinning technology, the single physical device 25 of each of the physical units 2 establishes real-time through the communication interface and the corresponding single device model 16 in the glass deep processing production line simulation model 15 Synchronization of communication and actions;

Different time-division integration test steps, four unit control modules 17 are set in the simulation system 1, and the four unit control modules 17 respectively control the original film bin unit simulation model 11, the steel bin unit simulation model 12, and the tempering furnace row unit simulation model. 13 and hollow pairing unit simulation model 14;

Setting the upper computer 3, the upper computer 3 sends the actual production information instruction to the four unit management modules 17 through the industrial Ethernet;

The four physical units 2 in different regions respectively establish real-time communication and action synchronization through the communication interface and the glass deep processing production line simulation model 15 at different time periods, and the upper computer 3 is connected to the physical unit 2 and the network. The glass deep processing production line simulation model 15 sends an actual production information instruction, performs glass deep processing simulation production, performs distributed integration test on the networked physical unit 2, and detects whether the no-load effect of the networked physical unit 2 conforms to the pre-measurement. Set production requirements;

The vertical integration test is composed of a downlink instruction channel test and an uplink information channel test, and the downlink instruction channel test is configured to detect that the host computer 3 sends the actual production information instruction to the networked physical unit 2 and the glass deep processing production line simulation model 15. When the physical unit 2 connected to the network operates according to the actual production information instruction;

The uplink information channel test is to detect whether the physical unit 2 connected to the network actually feedbacks the running status information to the upper computer 3;

The horizontal integration test is composed of an inter-device physical action connection test and an inter-unit state information transmission test, and the inter-device physical action connection test is to detect whether each single physical device 25 in the physical unit 2 connected to the network is based on the set glass. The production process, whether the downstream single-machine physical device 25 always undertakes the processing action of the upstream single-machine physical device 25;

The inter-cell state information transmission test is to detect whether the physical unit 2 connected to the network can receive the state information of the upstream physical unit 2 in the glass deep processing simulation production, and whether the corresponding unit management module 17 can be received according to the The status information controls the processing operations of the individual physical devices 25, and whether the networked physical unit 2 can transmit its own status information to the downstream physical unit 2.

The distributed integration method of the glass deep processing production line realizes the virtual and real synchronization of the physical unit 2 (or the single physical device 25) and its simulation model through digital twinning technology, thereby constructing a high performance, versatile and scalable integrated physical and simulation. The distributed integration test platform supports the physical unit 2 (or the stand-alone physical device 25) provided by each supplier to perform time-division and off-site integration and testing with the glass deep processing production line simulation model 15 to test the physical unit 2 (or a single physical device). 25) And the control logic of the simulation model, whether the communication interface meets the established design goals, whether it matches the whole line motion planning, etc., the operation and performance of the unit system in the whole line, and constantly improve the physical unit 2 (or the single physical device 25) Design and production reduce the uncertainty between design and manufacturing, shorten the cycle of joint testing to the end customer, discover and avoid design hazards in advance, and significantly reduce the cost of site and capital occupation.

The four physical units 2 are respectively designed, manufactured and tested in different regions, and the original film bin physical unit 21 includes a gantry crane, a reverse transport platform, a vacuum chuck frame group and a glass T frame, and the tempered bin physical unit 22 includes The high-speed trolley running guide rail, the in-piece high-speed transport trolley, the high-speed transport trolley, the tempered warehouse fixed grid rack, the bottom car and the transport buffer segment, the tempering furnace row physical unit 23 includes a row table, a buffer table and a conveying table. The hollow mating physical unit 24 includes a high speed trolley running rail, a high speed transport trolley, a high speed transport trolley, a paired bin fixed grid rack, a bottom cart and a transport buffer section.

Therefore, in the glass deep processing production line simulation model 15, according to the production process from the upstream to the downstream, the original film bin unit simulation model 11, the tempered bin unit simulation model 12, the tempered furnace row unit simulation model 13 and the hollow pairing unit simulation model are sequentially included. And each unit simulation model 12 assembles the single physical device 25 according to the design requirement information of the glass deep processing production line to form a virtual glass deep processing production line, and realizes rapid customization of the production line. The simulation system 1 adopts Demo3D simulation software, and has an open platform capable of three-dimensional digital design, which can perform virtual equipment of a single machine, and can control the movement of the equipment or the movement of the product through a script, and has a soft PLC function.

Using digital twinning technology, the single-machine physical device 25 and its corresponding single-machine device model 16 can establish real-time communication and action synchronization, realizing virtual and real synchronization, so that suppliers in different regions can implement stand-alone physical devices in time-sharing and off-site production. The device 25 is connected to the glass deep processing production line simulation model 15 for online integration testing, and is separated from the geographical, site and space-time constraints, and achieves the parallelization process of the custom design of the intelligent workshop. The digital twinning technology fully utilizes physical model, sensor update, operation history and other data, integrates multi-disciplinary, multi-physical, multi-scale, multi-probability simulation processes, and completes mapping in virtual space to reflect corresponding physical equipment. The full life cycle process, also known as "digital mirroring", "digital twins" or "digital mapping." The virtual and real synchronization is to use PLC as a bridge to establish a communication channel between the three-dimensional simulation (virtual sensor), the device model and the physical PLC, and the configuration software, to realize the interconnection of data and information, and to pass the downlink command and the second information of the uplink information. Synchronization technology realizes real-time synchronization of equipment real-time data, configuration monitoring data and 3D virtual simulation data, and realizes interaction and synchronization between virtual workshop (simulation), real workshop (equipment), on-site monitoring data, and MES system execution data.

The upper computer 3 is provided with an MES system or an execution engine thereof for controlling the progress of the entire glass deep processing production, and analyzing the integrated test data of the networked physical unit 2. The MES system is a production process execution management system of a manufacturing enterprise. It is a production information management system for the execution layer of the manufacturing enterprise, and optimizes the management of the entire production process from the order to the completion of the product through information transmission. The unit management module 17 can drive the physical unit 2 corresponding to the network according to the actual production information command sent by the host computer 3, thereby performing production simulation using the glass deep processing production line simulation model 15, and realizing the interconnection of data and information by using the virtual real synchronization technology. And test whether the no-load effect of the physical unit 2 connected to the network meets the preset production requirements.

The distributed integration method of the glass deep processing production line satisfies the interaction and integration of the physical unit 2 (or the single physical device 25) and the glass deep processing production line simulation model 15 , the integration of the whole line physical equipment, and the off-site segmentation test physical unit 2 (or stand-alone The control logic and communication interface of the physical equipment 25) conform to the motion planning of the glass deep processing production line, the partial avoidance control logic, and the design logistics error. Continuously improve the design of physical unit 2 (or single physical equipment 25) to meet the motion requirements of glass deep processing production line. Under the driving of digital twinning technology, realize the bidirectional real mapping and real-time information interaction between virtual simulation platform and physical equipment of production line. Simulate the integration and integration of the full-factor, full-process and full-service data of the entire production line and the physical production line, and finally complete the deployment and construction of the entire glass deep processing production line.

Preferably, as shown in FIG. 2 and FIG. 3, the downlink command channel test includes the following steps:

Step A1, the networked physical unit 2 is bound by the PLC control network 4 through the switch interface, in the form of I/O point information, and the I/O point of the soft PLC module of the corresponding unit simulation model, networked The physical unit 2 is driven by the PLC control network 4;

Step A2, the upper computer 3 sends an actual production information instruction to the four unit management modules 17 through the industrial Ethernet;

Step A3, the four unit control modules 17 respectively convert the received actual production information instructions into machine instructions, and send the machine instructions to the glass deep processing production line simulation model 15 through the OPC protocol and the database communication mechanism, and The unit control module 17 corresponding to the physical unit 2 of the network is simultaneously sent to the PLC control network 4;

Step A4, the glass deep processing production line simulation model 15 performs glass deep processing simulation production according to the received machine instruction, and the PLC control network 4 drives the networked physical unit 2 to operate according to the received machine instruction, using digital twinning technology, Corresponding unit simulation model and the networked physical unit 2 are synchronously operated;

Step A5, the host computer 3 establishes a simulation model view, and detects an operation state of the glass deep processing production line simulation model 15 through the simulation model view, thereby detecting whether the networked physical unit 2 operates according to the actual production information instruction. .

After the design and manufacture of the physical unit 2 connected to the customer, the vertical integration test is performed on each of the single physical devices 25 before being transported to the customer's site, and then all the single physical devices 25 are arranged according to the set glass production process. Horizontal integration testing is performed by connecting them into a whole through physical interfaces. Among them, in the vertical integration test, the downlink command channel test is performed first, and then the uplink information channel test is performed; in the horizontal integration test, the physical action connection test between the devices is first performed, and then the inter-unit state information transmission test is performed.

The downlink command channel test is configured to detect whether the physical unit 2 connected to the network operates according to the actual production information instruction. The unit management module 17 can convert the received actual production information instructions into machine instructions and simultaneously distribute them to the glass deep processing production line simulation model 15 and the PLC control network 4. The PLC control network 4 drives the networked physical unit 2 to operate according to the received machine instruction, and realizes management and control of the networked physical unit 2. The operating state of the glass deep processing line simulation model 15 is detected by the host computer 3 through the simulation model view, thereby detecting whether the action of the networked physical unit 2 is in accordance with the actual production information instruction, and the physical object is connected to the network. Unit 2 performs logic verification and control test, quickly locates the cause of the fault finding, eliminates possible design errors, and checks in advance whether the physical unit 2 connected to the network can meet the actual production requirements, based on the test result, and the physical object is connected. Unit 2's design is optimized and improved to avoid rework and parallel work, greatly reducing the time and cost of on-site commissioning and testing.

Preferably, as shown in FIG. 2 and FIG. 3, the uplink information channel test includes the following steps:

Step B1, the glass deep processing production line simulation model 15 performs glass deep processing simulation production according to the received machine instruction, and uses the digital twinning technology, the corresponding unit simulation model and the networked physical unit 2 to operate synchronously;

Step B2, the PLC control network 4 through the SCADA system (ie, data acquisition and monitoring control system) to collect the state information of all the networked physical devices 25, and upload the collected state information to the host computer 3;

In step B3, the status information received by the upper computer 3 and the status information collected by the PLC control network 4 are compared to detect whether the consistency is completed.

The uplink information channel is tested to detect whether the physical unit 2 in the network is running after the physical unit 2 of the network can be operated according to the actual production information instruction, that is, after the downlink instruction channel test is completed. The information is actually fed back to the host computer 3. The PLC control network 4 collects the state information of all the networked physical devices 25 through the SCADA system (ie, the data acquisition and monitoring control system), and uploads the collected state information to the MES system of the host computer 3; The MES system of the upper computer 3 adjusts parameters of the automation process according to the feedback status information, and makes the next actual production information instruction transmission, realizes device state information integration, and integrates the control system and the device.

For example, the hollow mating physical unit 24 is connected to the glass deep processing production line simulation model 15, and the upper computer 3 issues an actual production information command for glass deep processing simulation production, and tests the high speed inbound and outbound trolley, bottom vehicle and phase of the hollow mating physical unit 24. Whether the motion of the corresponding single-machine device model 16 is consistent, and whether the motion logic of the movable component in the customized hollow paired physical unit 24 satisfies the motion requirement in the virtual whole line, thereby achieving the hollow paired physical unit 24 and the glass deep processing production line simulation model 15 Highly integrated, early avoidance of some control logic design errors, shortening the debugging cycle to the customer.

Preferably, as shown in FIG. 2 and FIG. 4, the physical interaction test between the devices includes the following steps:

Step C1, all the single physical devices 25 of the physical unit 2 connected to the network are connected into a whole through a physical interface according to a set glass production process flow;

Step C2, the host computer 3 sends an actual production information instruction to the four unit management modules 17 through the industrial Ethernet;

Step C3, the glass deep processing production line simulation model 15 performs glass deep processing simulation production according to the received machine instruction, and the PLC control network 4 drives the networked physical unit 2 to operate according to the received machine instruction, using digital twinning technology, Corresponding unit simulation model and the networked physical unit 2 are synchronously operated;

In step C4, the host computer 3 detects, through the simulation model view, whether the downstream single physical device 25 always undertakes the processing action of the upstream single physical device 25 in the physical unit 2 connected to the network.

The inter-device physical action connection test is that after the single integrated physical device 25 of the physical unit 2 connected to the network completes the vertical integration test, all the single physical devices 25 are connected through a physical interface according to the set glass production process flow. In a whole, it is detected whether the downstream single physical device 25 always undertakes the processing action of the upstream single physical device 25 in the physical unit 2 connected to the network, that is, detects the operational integrity and continuity between the device and the device, and ensures that The glass deep processing production line completes the production and processing according to the process, and the glass deep processing production line runs smoothly.

Preferably, as shown in FIG. 2 and FIG. 4, the inter-cell state information transmission test includes the following steps:

Step D1, in the physical unit 2 connected to the network, the status information of each single physical device 25 is integrated into the data bus 5 through the industrial Ethernet, and the data bus 5 is connected with the unit management module 17 to transmit the status information to the corresponding Unit management module 17;

Step D2, the upper computer 3 sends an actual production information instruction to the four unit management modules 17 through the industrial Ethernet;

Step D3, the glass deep processing production line simulation model 15 performs glass deep processing simulation production according to the received machine instruction, and the PLC control network 4 drives the networked physical unit 2 to operate according to the received machine instruction, using digital twinning technology, Corresponding unit simulation model and the networked physical unit 2 are synchronously operated;

In step D4, the host computer 3 checks whether the action of the glass deep processing line simulation model 15 is smooth through the simulation model view, and whether the physical unit 2 connected to the network has an action delay or an operation error, thereby detecting the networked Whether the physical unit 2 can receive the state information of the upstream physical unit 2 in the glass deep processing simulation production, and whether the corresponding unit management module 17 can control the processing operations of the individual physical devices 25 according to the received state information, and Whether the physical unit 2 connected to the network can transmit its own status information to the downstream physical unit 2.

After the physical interaction test between the devices is completed, the inter-cell state information transmission test is performed on the networked physical unit 2. The four unit control modules 17 adopt OPC and database access system interfaces to acquire real-time data information of the system, realize signal connection between the unit management and control modules 17, and transmit information and data between the two unit control modules 17 horizontally. The inter-cell state information transmission test detects whether the physical unit 2 connected to the network can receive the state information of the upstream physical unit 2 in the glass deep processing simulation production, and whether the corresponding unit management module 17 can be received according to the received The status information controls the processing actions of the individual physical devices 25, and whether the networked physical unit 2 can transmit its own status information to the downstream physical unit 2, thereby adjusting and optimizing the networked physical unit 2 control scheme. To ensure smooth and normal operation of the production line, to avoid delays in operation and uncertainties in the production of water production.

For example, in the glass deep processing production line, the sensor signal and the switch quantity information on the single physical device 25 of the different physical unit 2, such as a cutting machine, an edger, a tempering furnace, etc., are all integrated on the field bus through the industrial Ethernet, and are performed on the bus. Exchange and interaction of device information. If the conveyor belt conveys the glass to the edging machine, the film triggers the sensor on the conveyor belt. The sensor information will be transmitted to the edging machine via Industrial Ethernet. After the edging machine receives the sensing signal, it will prepare the edging action of the glass. At the same time, if the edger is performing the edge grinding action, the switch amount information will be sent to the conveyor belt to stop the transfer of the flow glass.

The horizontal integration test realizes the horizontal transmission and integration of information between the unit management and control modules 17 and the single physical device 25 to ensure smooth running of the glass deep processing production line.

Preferably, the three-dimensional modeling step comprises:

Step E1, three-dimensional modeling of the single physical device 25 of the four physical units 2, performing the packaging of the action mode and the control mode of the single physical device 25 according to the actual function and actual efficiency of the single physical device 25, and defining a standardized a data interface and an information interface, thereby establishing a device three-dimensional model library in the simulation system 1; wherein the control mode includes data collection and processing, sensor arrangement, and control logic setting;

Step E2, preset a layout model library corresponding to the glass deep processing production line industry in the simulation system 1;

In step E5, a dynamic simulation production process is performed on the simulation system 1, and the initial integral line model and the initial execution kernel are optimized to generate the glass deep processing production line simulation model 15.

A custom design platform is built in the simulation system 1 to realize rapid customization of the entire line. The simulation system 1 presets the device three-dimensional model library and the layout model library, and modularizes the single physical device 25 to realize rapid personalized customization and dynamic operation of the glass deep processing production line simulation model 15.

In the design process of the glass deep processing production line, the simulation system 1 is used to select a suitable layout model in the layout model library and select a required device in the equipment 3D model library according to the design requirement information of the glass deep processing production line. Model, the design requirements information of the glass deep processing production line includes capacity requirements, factory site, processing flow, production cycle, production plan, process plan and processing equipment; the layout model library is based on the existing glass deep processing production industry commonly used The layout method is used to analyze and summarize the preliminary layout plan of the production line, including equipment resource allocation, whole line layout and process path planning: equipment resources are configured for the equipment and quantity of each physical unit 2; The process path of the product, determine the standard working hours of each process, and analyze the process correlation of the processing equipment and operation corresponding to each process of the product; the whole line layout is based on the factory space of the enterprise, the product processing process and the desired production capacity. Equipment, intermediate equipment and Reasonable spatial distribution equipment, physical interference analysis route planning and logistics to determine the layout of the entire line. Then, based on the layout model, the glass deep processing production line is subjected to layout planning and equipment model assembly, thereby shortening the design cycle, reducing human error, and improving layout efficiency.

The initial line model of the step E4 includes a three-dimensional model of the production line, a production line layout assembly scheme, an operation scheme, and a control scheme. The initial execution kernel includes a mathematical model of the production line model, a unit algorithm, and a whole line scheduling algorithm. Finally, a dynamic simulation production process is performed on the simulation system 1, and statistical analysis of the effect of the dynamic intelligent execution of the whole line is performed, including efficiency analysis, load analysis, etc., and the analysis structure is compared with preset parameters, and if the requirements are not met, The initial line model and the initial execution kernel are modified, and then the operation and analysis are continued until the requirements are met, thereby optimizing the initial line model and the initial execution kernel to generate the glass deep processing line simulation model.

Step E5.2, performing a dynamic simulation production process on the simulation system 1, the initial execution kernel generates an actual production information instruction, the initial complete line model is executed according to the actual production information instruction, and the operation result is generated on the scene. Information is fed back to the initial execution kernel;

Step E5.4, generating the glass deep processing production line simulation model 15 according to the optimized whole line model and the optimized execution kernel.

The initial execution kernel generates an actual production information instruction to dynamically simulate the production process by using the initial line model, and analyzes the operation efficiency and load of the operation result by the powerful data analysis capability of the simulation system 1, and realizes the combination of design and operation. The iterative optimization is repeated to obtain an optimal whole line design scheme and form a full-line intelligent execution core to improve the overall performance and stability of the glass deep processing production line simulation model 15.

Preferably, the system using the distributed integration method of the glass deep processing line, as shown in FIG. 2,

The glass deep processing production line is divided into four physical units 2, and the four physical units 2 are respectively designed, manufactured and tested in different regions, and the four physical units 2 are original sheet bin physical units 21 and tempered warehouse physical units. 22, the tempering furnace row physical unit 23 and the hollow mating physical unit 24;

The simulation system 1 and the upper computer are included, and the simulation system 1 and the upper computer establish a communication network through the industrial Ethernet;

The simulation system 1 is configured to respectively perform three-dimensional modeling on the four physical units 2, including three-dimensional modeling of all the single physical devices 25 in each of the physical units 2 to form an original film bin unit simulation model 11 The tempered warehouse unit simulation model 12, the tempering furnace row unit simulation model 13 and the hollow pairing unit simulation model 14, and according to the design requirements of the glass deep processing production line, the original film warehouse unit simulation model 11 and the tempered warehouse unit simulation model are simulated in the simulation system 1. 12. The tempering furnace row unit simulation model 13 and the hollow pairing unit simulation model 14 are assembled, and the glass deep processing production line simulation model 15 is built;

Using the digital twinning technology, the single physical device 25 of each of the physical units 2 establishes real-time communication and motion synchronization through the communication interface and the corresponding single device model 16 in the glass deep processing production line simulation model 15;

The simulation system 1 is provided with four unit control modules 17, and the four unit control modules 17 respectively control the original film bin unit simulation model 11, the tempered bin unit simulation model 12, the tempered furnace row unit simulation model 13 and the hollow pairing unit simulation. Model 14;

The upper computer 3 is configured to send an actual production information instruction to the four unit management modules 17 through the industrial Ethernet;

The distributed integrated system of the glass deep processing production line realizes the virtual and real synchronization of the physical unit 2 (or the single physical device 25) and its simulation model through digital twinning technology, thereby establishing a high performance, versatile and scalable integrated physical and simulation. The distributed integration test platform supports the physical unit 2 (or the stand-alone physical device 25) provided by each supplier. It can be integrated and tested with the glass deep processing production line simulation model 15 to test the physical unit 2 (or stand-alone physical equipment). 25) And the control logic of the simulation model, whether the communication interface meets the established design goals, whether it matches the whole line motion planning, etc., the operation and performance of the unit system in the whole line, and constantly improve the physical unit 2 (or the single physical device 25) Design and production reduce the uncertainty between design and manufacturing, shorten the cycle of joint testing to the end customer, discover and avoid design hazards in advance, and significantly reduce the cost of site and capital occupation.

The distributed integrated system of the glass deep processing production line satisfies the interaction and integration of the physical unit 2 (or the single physical device 25) and the glass deep processing production line simulation model 15, the integration of the whole physical device, and the off-site segmentation test physical unit 2 (or stand-alone The control logic and communication interface of the physical equipment 25) conform to the motion planning of the glass deep processing production line, the partial avoidance control logic, and the design logistics error. Continuously improve the design of physical unit 2 (or single physical equipment 25) to meet the motion requirements of glass deep processing production line. Under the driving of digital twinning technology, realize the bidirectional real mapping and real-time information interaction between virtual simulation platform and physical equipment of production line. Simulate the integration and integration of the full-factor, full-process and full-service data of the entire production line and the physical production line, and finally complete the deployment and construction of the entire glass deep processing production line.

Preferably, as shown in FIG. 3, a PLC control network 4 is further included, and the physical unit 2 connected to the network is controlled by the PLC control network 4 through the switch interface in the form of I/O point information, and the corresponding unit simulation model is soft. The I/O point of the PLC module is bound, and the physical unit 2 connected to the network is driven by the PLC control network 4;

The unit management module 17 is configured to convert the received actual production information instruction into a machine instruction, and send the machine instruction to the glass deep processing production line simulation model 15 through an OPC protocol and a database communication mechanism, and networked The unit management module 17 corresponding to the physical unit 2 simultaneously sends the machine instruction to the PLC control network 4;

The glass deep processing production line simulation model 15 is used for performing glass deep processing simulation production according to the received machine instruction;

The PLC control network 4 is further configured to drive the networked physical unit 2 to operate according to the received machine instruction, using a digital twinning technology, the corresponding unit simulation model and the networked physical unit 2 to operate synchronously;

And for collecting the status information of all the single physical devices 25 connected by the SCADA system (ie, the data acquisition and monitoring control system), and uploading the collected status information to the upper computer 3;

The upper computer 3 includes a configuration monitoring unit and a MES management unit. The configuration monitoring unit is configured to establish a simulation model view, and the operating state of the glass deep processing production line simulation model 15 is detected through the simulation model view, thereby detecting networking. Whether the physical unit 2 is in accordance with the actual production information instruction;

The MES management unit is configured to compare the received status information with the status information collected by the PLC control network 4 to detect whether the consistency is completed.

After the design and manufacture of the physical unit 2 connected to the network, the vertical integration test of each of the individual physical devices 25 is performed separately before being transported to the customer's site. The operating state of the glass deep processing line simulation model 15 is detected by the host computer 3 through the simulation model view, thereby detecting whether the action of the networked physical unit 2 is in accordance with the actual production information instruction, and the physical object is connected to the network. Unit 2 performs logic verification and control test, quickly locates the cause of the fault finding, eliminates possible design errors, and checks in advance whether the physical unit 2 connected to the network can meet the actual production requirements, based on the test result, and the physical object is connected. Unit 2's design is optimized and improved to avoid rework and parallel work, greatly reducing the time and cost of on-site commissioning and testing.

The PLC control network 4 collects the state information of all the networked physical devices 25 through the SCADA system (ie, the data acquisition and monitoring control system), and uploads the collected state information to the MES system of the host computer 3; The MES system of the upper computer 3 adjusts parameters of the automation process according to the feedback status information, and makes the next actual production information instruction transmission, realizes device state information integration, and integrates the control system and the device.

Preferably, as shown in FIG. 4, in the physical unit 2 connected to the network, according to the set glass production process flow, all the single physical devices 25 are connected as a whole through a physical interface; and, the state of each single physical device 25 The information is integrated into the data bus 5 through the industrial Ethernet, the data bus 5 and the unit control module 17 are connected, the status information is transmitted to the corresponding unit control module 17;

The configuration monitoring unit is further configured to detect, by using the simulation model view, whether the downstream single-machine physical device 25 always undertakes the processing action of the upstream single-machine physical device 25 in the networked physical unit 2;

The MES management unit is further configured to view, by using the simulation model view, whether the action of the glass deep processing line simulation model 15 is smooth, whether the networked physical unit 2 has an action delay or an operation error, thereby detecting the networked Whether the physical unit 2 can receive the state information of the upstream physical unit 2 in the glass deep processing simulation production, and whether the corresponding unit management module 17 can control the processing operations of the individual physical devices 25 according to the received state information, and Whether the physical unit 2 connected to the network can transmit its own status information to the downstream physical unit 2.

After the physical integration unit 2 performs the vertical integration test on each of the single physical devices 25, all the single physical devices 25 are connected to each other through a physical interface according to the set glass production process flow, and the horizontal integration test is performed. . According to the set glass production process flow, the physical unit is connected to form a whole, and it is detected whether the downstream single physical device 25 always undertakes the processing action of the upstream single physical device 25 in the physical unit 2 connected to the network, that is, the detecting device The integrity and continuity of the operation with the equipment ensure that the glass deep processing production line is finished in accordance with the process, and the glass deep processing production line runs smoothly. Detecting whether the physical unit 2 connected to the network can receive the state information of the upstream physical unit 2 in the glass deep processing simulation production, and whether the corresponding unit management module 17 can control each single physical device 25 according to the received state information. The processing action, and whether the physical unit 2 connected to the network can transmit its own state information to the downstream physical unit 2, thereby adjusting and optimizing the control scheme of the networked physical unit 2 to ensure smooth operation of the production line. Normal operation to avoid delays in operation and uncertainties in the production of water production.

The technical principles of the present invention have been described above in connection with specific embodiments. The descriptions are merely illustrative of the principles of the invention and are not to be construed as limiting the scope of the invention. Based on the explanation herein, those skilled in the art can devise various other embodiments of the present invention without departing from the scope of the invention.

Claims

A distributed integration method for a glass deep processing production line, characterized in that: the glass deep processing production line is divided into four physical units, and four of the physical units are respectively designed, manufactured and tested in different regions, and the four physical units are The original film bin physical unit, the tempered bin physical unit, the tempered grate solid unit and the hollow mating physical unit include the following steps:

The three-dimensional modeling step is to perform three-dimensional modeling on the four physical units in the simulation system, respectively, including three-dimensional modeling of all the single physical devices in each of the physical units, forming an original film bin unit simulation model and a tempered bin unit. Simulation model, tempered furnace row unit simulation model and hollow pairing unit simulation model, and according to the design requirements of glass deep processing production line, the original film warehouse unit simulation model, tempered warehouse unit simulation model, tempered furnace row unit simulation model and hollow in the simulation system The pairing unit simulation model is assembled and built into a glass deep processing production line simulation model;

All the single-machine equipment models in the glass deep-processing production line simulation model are identical to the corresponding single-machine physical equipment in the glass deep-processing production line, including the specific layout of the production line, the appearance and shape of each physical unit, and the sensors of the single-machine physical equipment. Arrange

In the remote real-time synchronization step, according to the requirements of the glass production process flow, the action control scripts of all the stand-alone device models in the simulation model of the glass deep-processing production line are compiled in the simulation system, and the processing action of the single-machine device model is controlled by the script language, and then the The glass deep processing production line simulation model is run offline in the simulation system;

After the glass deep processing production line simulation model is successfully run offline, using the digital twinning technology, the single physical device of each physical unit establishes real-time communication and motion synchronization through the communication interface and the corresponding single-machine device model in the glass deep processing production line simulation model. ;

Different time-division integration test steps, four unit control modules are set in the simulation system, and the four unit control modules respectively control the original film bin unit simulation model, the tempered bin unit simulation model, the tempering furnace row unit simulation model and the hollow pairing unit simulation model;

Setting a host computer, and the host computer sends an actual production information instruction to the four unit control modules through the industrial Ethernet;

The four physical units in different regions establish real-time communication and motion synchronization through the communication interface and the glass deep processing production line simulation model at different time periods, and the upper computer performs deep processing on the physical unit and the glass. The production line simulation model sends the actual production information instruction, performs the glass deep processing simulation production, performs distributed integration test on the networked physical unit, and detects whether the no-load effect of the networked physical unit meets the preset production requirement;

The distributed integration test includes vertical integration test and horizontal integration test;

The vertical integration test consists of a downlink command channel test and an uplink information channel test. The downlink command channel test is used to detect when the upper computer sends the actual production information instruction to the networked physical unit and the glass deep processing production line simulation model. Whether the physical unit is in accordance with the actual production information instruction;

The uplink information channel test is to detect whether the physical unit of the network actually feeds back the running status information to the upper computer;

The horizontal integration test is composed of an inter-device physical action connection test and an inter-unit state information transmission test, wherein the inter-device physical action connection test is to detect whether each single physical device in the physical unit is connected according to a set glass production process. Process, whether the downstream single-machine physical equipment always undertakes the processing action of the upstream single-machine physical equipment;

The inter-cell state information transmission test is to detect whether the physical unit in the network can receive the state information of the upstream physical unit in the glass deep processing simulation production, and whether the corresponding unit management module can be based on the received state information. Controlling the processing actions of the individual stand-alone physical devices, and whether the physical unit being networked can transmit its own state information to the downstream physical unit.
The distributed integration method for a glass deep processing line according to claim 1, wherein the downlink command channel test comprises the following steps:

Step A1, the physical unit of the network is bound by the PLC control network through the switch interface, in the form of I/O point information, and the I/O point of the soft PLC module of the corresponding unit simulation model is bound, The physical unit is driven by the PLC control network;

Step A2, the upper computer sends an actual production information instruction to the four unit management modules through the industrial Ethernet;

Step A3, the four unit control modules respectively convert the received actual production information instructions into machine instructions, and send the machine instructions to the glass deep processing production line simulation model through the OPC protocol and the database communication mechanism, and the networked The unit management module corresponding to the physical unit simultaneously delivers the machine instruction to the PLC control network;

Step A4, the glass deep processing production line simulation model performs glass deep processing simulation production according to the received machine instruction, and the PLC control network drives the networked physical unit to operate according to the received machine instruction, using digital twinning technology, corresponding unit The simulation model and the networked physical unit operate synchronously;

In step A5, the host computer establishes a simulation model view, and detects an operation state of the glass deep processing production line simulation model through the simulation model view, thereby detecting whether the networked physical unit operates according to the actual production information instruction.
The distributed integration method for a glass deep processing line according to claim 2, wherein the uplink information channel test comprises the following steps:

Step B1, the glass deep processing production line simulation model performs glass deep processing simulation production according to the received machine instruction, and uses the digital twinning technology, the corresponding unit simulation model and the networked physical unit to operate synchronously;

Step B2, the PLC control network collects state information of all the networked physical devices through the SCADA system (ie, the data acquisition and monitoring control system), and uploads the collected state information to the upper computer;

In step B3, the status information received by the upper computer and the status information collected by the PLC control network are compared to detect whether the consistency is completed.
The distributed integration method for a glass deep processing line according to claim 2, wherein the physical action connection test between the devices comprises the following steps:

Step C1, all the single physical devices of the physical unit connected to the network are connected into a whole through a physical interface according to a set glass production process flow;

Step C2, the upper computer sends an actual production information instruction to the four unit management modules through the industrial Ethernet;

Step C3, the glass deep processing production line simulation model performs glass deep processing simulation production according to the received machine instruction, the PLC control network drives the networked physical unit operation according to the received machine instruction, and uses digital twinning technology, corresponding unit The simulation model and the networked physical unit operate synchronously;

In step C4, the host computer detects, through the simulation model view, whether the downstream single-machine physical device always undertakes the processing action of the upstream single-machine physical device in the physical unit that is connected to the network.
The distributed integration method for a glass deep processing line according to claim 2, wherein the inter-cell state information transmission test comprises the following steps:

Step D1, in the physical unit of the network, the state information of each single physical device is integrated into the data bus through the industrial Ethernet, the data bus is connected with the unit management module, and the state information is transmitted to the corresponding unit management module;

Step D2, the upper computer sends an actual production information instruction to the four unit control modules through the industrial Ethernet;

Step D3, the glass deep processing production line simulation model performs glass deep processing simulation production according to the received machine instruction, and the PLC control network drives the networked physical unit to operate according to the received machine instruction, using digital twinning technology, corresponding unit The simulation model and the networked physical unit operate synchronously;

Step D4, the upper computer checks whether the action of the glass deep processing production line simulation model is smooth through the simulation model view, whether the physical unit of the network has an action delay or an operation error, thereby detecting that the physical unit of the network is in the In the glass deep processing simulation production, can the state information of the upstream physical unit be received, and whether the corresponding unit management module can control the processing action of each single physical device according to the received state information, and whether the physical unit of the network is connected It can transmit its own status information to the downstream physical unit.
The method of distributed integration of a glass deep processing line according to claim 1, wherein the three-dimensional modeling step comprises:

Step E1: performing three-dimensional modeling on the single physical device of the four physical units, and performing the encapsulation of the action mode and the control mode of the single physical device according to the actual function and actual efficiency of the single physical device, and defining a standardized data interface and information. An interface, thereby establishing a three-dimensional model library of the device in the simulation system; wherein the control manner includes data collection and processing, sensor arrangement, and control logic setting;

Step E2, preset a layout model library corresponding to the glass deep processing production line industry in the simulation system;

Step E3: selecting a suitable layout model in the layout model library and selecting a required device model in the device 3D model library according to design requirement information of the glass deep processing production line, and on the basis of the layout model The glass deep processing production line is used for layout planning and equipment model assembly;

Step E4: design, according to the layout plan, a motion mode, a control scheme, an execution algorithm engine, and a simulation dynamic operation scheme of each link in the glass deep processing production line, and generate an initial complete line model and an initial execution kernel of the glass deep processing production line;

In step E5, a dynamic simulation production process is performed on the simulation system, and the initial complete line model and the initial execution kernel are optimized to generate the glass deep processing production line simulation model.
The method of distributed integration of a glass deep processing line according to claim 6, wherein optimizing the initial line model and the initial execution kernel comprises:

Step E5.1, establishing an instruction channel of the initial execution kernel to the initial line model, establishing an information channel of the initial line model to the initial execution kernel, so that the initial execution kernel and the initial The entire line model implements interaction;

Step E5.2, performing a dynamic simulation production process on the simulation system, the initial execution kernel generates an actual production information instruction, the initial complete line model is executed according to the actual production information instruction, and the operation result is generated to generate on-site information. Feedback to the initial execution kernel;

In step E5.3, the running result and the load are analyzed, and the configuration parameters of the initial full-line model and the algorithm structure of the initial execution kernel are optimized according to the analysis result, thereby generating an optimized whole line model and an optimized execution kernel;

Step E5.4, generating the glass deep processing production line simulation model according to the optimized whole line model and the optimized execution kernel.
A system for using the distributed integration method of a glass deep processing line according to claim 1, wherein:

The glass deep processing production line is divided into four physical units, and the four physical units are designed, manufactured and tested in different regions. The four physical units are the original physical unit, the tempered solid unit, and the tempered furnace. a physical unit and a hollow paired physical unit;

The simulation system and the host computer are included, and the simulation system and the host computer establish a communication network through the industrial Ethernet;

The simulation system is configured to respectively perform three-dimensional modeling on four physical units, including three-dimensional modeling of all the single physical devices in each of the physical units, forming a simulation model of the original film bin unit, and simulating the steel bin unit. The model, the tempered furnace row unit simulation model and the hollow pairing unit simulation model, and according to the design requirements of the glass deep processing production line, the original film bin unit simulation model, the tempered bin unit simulation model, the tempered furnace row unit simulation model and the hollow pairing are simulated in the simulation system. The unit simulation model is assembled and built into a glass deep processing production line simulation model;

All the single-machine equipment models in the glass deep-processing production line simulation model are identical to the corresponding single-machine physical equipment in the glass deep-processing production line, including the specific layout of the production line, the appearance and shape of each physical unit, and the sensors of the single-machine physical equipment. Arrange

Using the digital twinning technology, the single physical device of each of the physical units establishes real-time communication and motion synchronization through a communication interface and a corresponding single-machine device model in the glass deep processing production line simulation model;

The simulation system is provided with four unit control modules, and the four unit control modules respectively control the original film bin unit simulation model, the tempered bin unit simulation model, the tempering furnace row unit simulation model and the hollow pairing unit simulation model;

The upper computer is configured to send an actual production information instruction to the four unit management modules through the industrial Ethernet;

The four physical units in different regions establish real-time communication and motion synchronization through the communication interface and the glass deep processing production line simulation model at different time periods, and the upper computer performs deep processing on the physical unit and the glass. The production line simulation model sends the actual production information instruction, performs the glass deep processing simulation production, performs distributed integration test on the networked physical unit, and detects whether the no-load effect of the networked physical unit meets the preset production requirement;

The distributed integration test includes vertical integration test and horizontal integration test;

The vertical integration test consists of a downlink command channel test and an uplink information channel test. The downlink command channel test is used to detect when the upper computer sends the actual production information instruction to the networked physical unit and the glass deep processing production line simulation model. Whether the physical unit is in accordance with the actual production information instruction;

The uplink information channel test is to detect whether the physical unit of the network actually feeds back the running status information to the upper computer;

The horizontal integration test is composed of an inter-device physical action connection test and an inter-unit state information transmission test, wherein the inter-device physical action connection test is to detect whether each single physical device in the physical unit is connected according to a set glass production process. Process, whether the downstream single-machine physical equipment always undertakes the processing action of the upstream single-machine physical equipment;

The inter-cell state information transmission test is to detect whether the physical unit in the network can receive the state information of the upstream physical unit in the glass deep processing simulation production, and whether the corresponding unit management module can be based on the received state information. Controlling the processing actions of the individual stand-alone physical devices, and whether the physical unit being networked can transmit its own state information to the downstream physical unit.
The distributed processing system for a glass deep processing production line according to claim 8, further comprising: a PLC control network, wherein the physical unit of the network is controlled by the PLC through the switch interface, in the form of I/O point information, The I/O point binding of the soft PLC module of the corresponding unit simulation model, and the physical unit of the network is driven by the PLC control network;

The unit management module is configured to convert the received actual production information instruction into a machine instruction, and send the machine instruction to the glass deep processing production line simulation model through an OPC protocol and a database communication mechanism, and the networked The unit management module corresponding to the physical unit sends the machine instruction to the PLC control network at the same time;

The glass deep processing production line simulation model is used for performing glass deep processing simulation production according to the received machine instruction;

The PLC control network is further configured to drive the physical unit operation of the network according to the received machine instruction, and use a digital twinning technology, a corresponding unit simulation model, and the networked physical unit to operate synchronously;

And for collecting the status information of all the networked physical devices through the SCADA system (ie, the data acquisition and monitoring control system), and uploading the collected status information to the upper computer;

The upper computer includes a configuration monitoring unit and a MES management unit, wherein the configuration monitoring unit is configured to establish a simulation model view, and detect, by using the simulation model view, an operation state of the glass deep processing production line simulation model, thereby detecting the networked Determining whether the physical unit operates according to the actual production information instruction;

The MES management unit is configured to compare the received status information with the status information collected by the PLC control network to detect whether the consistency is completed.
The distributed processing system for a glass deep processing line according to claim 9, wherein in the physical unit of the network, all the single physical devices are connected into a whole through a physical interface according to the set glass production process flow; The status information of each single physical device is integrated into the data bus through the industrial Ethernet, and the data bus is connected with the unit management module to transmit the status information to the corresponding unit management module;

The configuration monitoring unit is further configured to detect, by using the simulation model view, whether the downstream single physical device in the networked physical unit always undertakes the processing action of the upstream single physical device;

The MES management unit is further configured to view, by using the simulation model view, whether the action of the glass deep processing production line simulation model is smooth, whether the physical unit of the network has an action delay or an operation error, thereby detecting the networked physical unit. In the glass deep processing simulation production, whether the state information of the upstream physical unit can be received, and whether the corresponding unit management module can control the processing action of each single physical device according to the received state information, and the physical unit of the network Whether it can transmit its own status information to the downstream physical unit.