CN111077853A - Modeling simulation method and device, computer equipment and storage medium - Google Patents
Modeling simulation method and device, computer equipment and storage medium Download PDFInfo
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- CN111077853A CN111077853A CN201911120292.1A CN201911120292A CN111077853A CN 111077853 A CN111077853 A CN 111077853A CN 201911120292 A CN201911120292 A CN 201911120292A CN 111077853 A CN111077853 A CN 111077853A
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- G05B19/00—Programme-control systems
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- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41865—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
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Abstract
The application relates to a modeling simulation method, a modeling simulation device, computer equipment and a storage medium. The method comprises the following steps: the method comprises the steps that computer equipment obtains modeling information of production equipment; the modeling information comprises structural information and operation action control information of the production equipment; constructing a digital twin model of the production equipment according to the modeling information; running a digital twin model through a process control program to obtain a simulation result; the process control program is a script constructed according to actual process explicit knowledge and operation action control information of the production equipment. The digital twin model which can be constructed by the method is stored in the database and can be repeatedly used, so that the time cost of production line simulation is reduced, the digital twin model also integrates process knowledge, the simulation result is improved, and the simulation efficiency of the production line is further improved.
Description
Technical Field
The present application relates to the field of internet technologies, and in particular, to a modeling simulation method, apparatus, computer device, and storage medium.
Background
With the development of internet technology, more and more production lines are designed in a simulation mode in a modeling mode.
The production line modeling simulation refers to three-dimensional solid modeling of all equipment on a production line, then layout design of equipment models is carried out to form a static virtual production line, and then a motion script is compiled on the static virtual production line to carry out simulation of the production line. In the present stage, when modeling is performed on the production line, models are built on all the equipment of the production line on the simulation platform, and then the production line model is operated according to the compiled action script to obtain an analysis simulation result.
However, the simulation model formed by the existing modeling simulation method cannot be reused, so that the simulation efficiency of the production line is low.
Disclosure of Invention
In view of the above, it is necessary to provide a modeling simulation method, apparatus, computer device and storage medium capable of improving the production line simulation efficiency.
In a first aspect, the present application provides a modeling simulation method, including:
obtaining modeling information of production equipment; the modeling information comprises structural information and operation action control information of the production equipment;
constructing a digital twin model of the production equipment according to the modeling information;
running a digital twin model through a process control program to obtain a simulation result; the process control program is a script constructed according to actual process explicit knowledge and operation action control information of the production equipment.
In one embodiment, the modeling information further includes interface information of the production equipment; if a production line comprises a plurality of production devices; the method further comprises:
obtaining modeling information of each production device;
constructing a digital twin model of each production device according to the modeling information of each production device;
and connecting the digital twin models of the production equipment through the interface information of the production equipment to form a production line model.
In one embodiment, the structural information at least comprises size information, appearance form information, internal structure information, assembly relation information and physical attribute information of the production equipment; wherein the physical attribute information represents physical characteristics of the production equipment.
In one embodiment, the operation action control information at least comprises control logic of the production equipment, action sequence, motion planning, response event and timing event; the motion plan represents the relation of speed, acceleration, time or space position of each action of the production equipment in the execution process; the response event represents an event triggered at an external condition.
In one embodiment, the interface information at least comprises a mechanical interface, an electric control interface, a network interface and a data interface of the production equipment; the electronic control interface is used for data interaction between the production equipment and the controller.
In one embodiment, the process of obtaining explicit knowledge of actual processes of the production facility comprises:
acquiring actual production parameters and production implicit knowledge of production equipment;
and carrying out structured display on the actual production parameters according to the production implicit knowledge to obtain actual process explicit knowledge.
In one embodiment, the actual production parameters of the production facility comprise at least equipment data, production data, process data, quality data of the production facility.
In one embodiment, after obtaining the simulation result, the method further includes:
judging whether the simulation result meets preset standard simulation data or not;
and if so, storing the digital twin model.
In a second aspect, the present application provides a modeling simulation apparatus, comprising:
the first acquisition module is used for acquiring modeling information of the production equipment; the modeling information comprises structural information and operation action control information of the production equipment;
the construction module is used for constructing a digital twin model of the production equipment according to the modeling information;
the simulation module is used for operating the digital twin model through a process control program to obtain a simulation result; the process control program is a script constructed according to actual process explicit knowledge and operation action control information of the production equipment.
In a third aspect, the present application provides a computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the steps of any one of the embodiments of the first aspect when executing the computer program.
In a fourth aspect, the present application provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of any of the embodiments of the first aspect.
The modeling simulation method, the modeling simulation device, the computer equipment and the storage medium have the following beneficial effects that:
the computer equipment obtains modeling information of the production equipment, a digital twin model of the production equipment is constructed according to the modeling information, and a simulation result is obtained by operating the digital twin model through a process control program. The modeling information comprises structure information and operation action control information of the production equipment, and a process control program for controlling the operation of the digital twin model is a script constructed according to actual process explicit knowledge and the operation action control information of the production equipment, so that the digital twin model is more suitable for the actual production equipment. The digital twin model constructed by the method can be applied to different industries or production lines, can be repeatedly used, and is integrated with process knowledge; the simulation of the production line is more realistic and intelligent, the digital twin model of corresponding production equipment can be directly called to build a virtual production line, the time cost is reduced, and the simulation efficiency of the production line is improved.
Drawings
FIG. 1 is a diagram of an application environment of a modeling simulation method in an embodiment of the present application;
fig. 2 is a schematic flow chart of a modeling simulation method provided in an embodiment of the present application;
FIG. 3 is a schematic flow chart diagram of another modeling simulation method provided in an embodiment of the present application;
FIG. 3a is a schematic flow chart of another modeling simulation method provided in the embodiments of the present application;
FIG. 4 is a schematic flow chart diagram of another modeling simulation method provided in the embodiments of the present application;
FIG. 5 is a schematic flow chart diagram of another modeling simulation method provided in the embodiments of the present application;
FIG. 6 is a schematic flow chart diagram of another modeling simulation method provided in an embodiment of the present application;
FIG. 7 is a block diagram of a modeling simulation apparatus provided in an embodiment of the present application;
FIG. 8 is a block diagram of another modeling simulation apparatus provided in an embodiment of the present application;
FIG. 9 is a block diagram of another modeling simulation apparatus provided in an embodiment of the present application;
FIG. 10 is a block diagram of another modeling simulation apparatus provided in an embodiment of the present application;
fig. 11 is an internal structural diagram of a computer device provided in an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The modeling simulation method provided by the application can be applied to the application environment shown in FIG. 1. Fig. 1 provides a computer device, which may be a server, and its internal structure diagram may be as shown in fig. 1. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing modeling simulation data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a modeling simulation method.
The following describes in detail the technical solutions of the present application and how the technical solutions of the present application solve the above technical problems by embodiments and with reference to the drawings. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. It should be noted that, in the modeling simulation method provided in the embodiments of fig. 2 to fig. 6 of the present application, an execution subject may be a computer device, or may be a modeling simulation apparatus, and the modeling simulation apparatus may become a part or all of the computer device by software, hardware, or a combination of software and hardware. In the following method embodiments, the execution subject is a computer device as an example.
In an embodiment, as shown in fig. 2, a modeling simulation method is provided, where the embodiment relates to a specific process of obtaining modeling information of a production device, establishing a corresponding digital twin model, setting corresponding parameters, and operating the digital twin model through a process control program to obtain a simulation result, and the method includes the following steps:
s201, obtaining modeling information of production equipment; the modeling information includes structural information and operational motion control information of the production equipment.
Wherein the structure information represents a three-dimensional structure and physical characteristics of the actual production equipment; for example, the physical characteristics may be the mass, density, friction coefficient, linear damping, collision detection, velocity, acceleration, and the like of the actual production equipment. The operation action control information represents action information which is completed by the mutual matching of all parts when the actual production equipment normally operates; for example, the action information may be a sequence, a control relationship, a spatial position relationship, and the like of each component when the actual production equipment completes one action by coordination of a plurality of components.
In this embodiment, the computer device may obtain modeling information of the production device from a terminal or a database, where the modeling information is a basis for constructing a digital twin model of the production device, and may be understood as information obtained by informationizing an entity according to an actual production device. Alternatively, the modeling information is obtained from actual production equipment. For example, modeling information of a cutting machine is obtained, and structural information is obtained according to the length, width and height of the cutting machine, the structure, shape, assembly relation, quality, density, friction force and the like of each part; and running action control information such as the sequence, the spatial path, the overturning, the rotation, the control relation and the like of the cutting action of each part is executed according to the cutting action of the saw teeth, the pressing sheet, the transmission wheel and other parts which are matched with each other in the cutting process of the cutting machine.
S202, constructing a digital twin model of the production equipment according to the modeling information.
The digital twin model is obtained by mapping entity equipment to a virtual space by integrating multiple disciplines, multiple physical quantities and multiple scales; the digital twin has the same size, shape, and structure as the physical device, and can perform the same actions and tasks as the physical device.
In this embodiment, the computer device may build a digital twin model of the production device through some simulation platforms, for example, a Demo3D virtual simulation platform, construct a digital twin model identical to the actual production device according to the modeling information, specifically, construct a static digital twin model identical to the actual production device in size, shape and structure according to the structure information of the production device, edit a control script for controlling the operation of the static digital twin model according to the operation action control information of the production device, and encapsulate the static digital twin model and the control script to obtain the digital twin model of the production device, where the digital twin model is identical to the actual production device in size, shape and structure and has the same physical characteristics as the actual production device, and can complete the same processing task of the production device.
S203, running a digital twin model through a process control program to obtain a simulation result; the process control program is a script constructed according to actual process explicit knowledge and operation action control information of the production equipment.
The actual process explicit knowledge represents the internal relation between the production parameters of the actual production equipment in the processing process, and the internal relation can be clearly and explicitly described. For example, when the edge grinding machine grinds a glass product, the edge grinding effect is easily affected by conditions such as edge breakage, bright edge, edge explosion and the like. Consequently at the in-process of polishing, the workman polishes according to production parameters such as glass's material, thickness, the rotational speed of emery wheel, material according to the experience of polishing of accumulation, avoids appearing circumstances such as collapsing limit, bright edge, edge explosion, and the experience of should polishing is exactly production implicit knowledge, carries out the domination with production implicit knowledge, acquires the inherent relation between the production parameter, obtains actual technology explicit knowledge. The quality of the polished glass product is better by obtaining the material and thickness of the processed product and the internal relation among the rotating speed, the material and the service time of the grinding wheel and integrating the explicit knowledge of the actual process in the polishing process.
In this embodiment, the computer device controls the digital twin model to operate according to the process control program to obtain a simulation result, and determines whether the digital twin model meets the condition according to the simulation result. The simulation result can be an action or a processing task, for example, corresponding parameters are set, so that the digital twin model of the cutting machine completes a rotation and overturning action, or a circular ring, a triangle and other tasks are cut. The computer equipment instantiates the internal relation between the production parameters of the actual production equipment in the machining process to obtain a process data table, binds the process data table with a control script obtained by the operation action control information of the production equipment to obtain a process control program, and controls the digital twin model to complete the corresponding machining process through the process control program. The digital twin model is operated through the control script, is more mechanized, and is integrated with a process control program obtained by a process data table, so that the digital twin model is more intelligent, and the processing task can be more intelligently finished aiming at a processed product, a production state and an equipment state when the processing task is executed. For example, corresponding parameters are set, so that the cutting machine can cut a ring, and the control script controls the ring cut by the digital twin model, so that cracks, uneven section and poorer quality are more likely to occur; the process control program controls the ring cut by the digital twin model, and according to the material, thickness, sawtooth length and the ring cut by the material of the product, the section is smoother, the possibility of crack is lower, and the quality is better.
According to the modeling simulation method, the computer equipment obtains modeling information of the production equipment, a digital twin model of the production equipment is built according to the modeling information, and a process control program runs the digital twin model to obtain a simulation result. The modeling information comprises structure information and operation action control information of the production equipment, and a process control program for controlling the operation of the digital twin model is a script constructed according to actual process explicit knowledge and the operation action control information of the production equipment, so that the digital twin model is more suitable for the actual production equipment. The digital twin model constructed by the method can be applied to different industries or production lines, can be repeatedly used, and is integrated with process knowledge; the simulation of the production line is more realistic and intelligent, the digital twin model of corresponding production equipment can be directly called to build a virtual production line, the time cost is reduced, and the simulation efficiency of the production line is improved.
Fig. 2 provides a modeling method for constructing a digital twin model of a production facility, according to which digital twin models of a plurality of production facilities can be constructed, and a virtual production line is constructed for simulation. In one embodiment, as shown in fig. 3, if a production line includes a plurality of production devices. The process of establishing a virtual production line for simulation by using the digital twin model comprises the following steps:
s301, obtaining modeling information of each production device.
In this embodiment, the computer device obtains modeling information of all production devices of the production line. The modeling information of each production apparatus includes the same contents and the same acquisition process as those of step S201 in fig. 2 described above. Taking a hollow glass deep processing production line as an example, the production line comprises four production devices, namely a cutting machine, an edge grinding machine, a toughening furnace and a pairing bin; and the computer equipment respectively acquires the modeling information corresponding to the cutting machine, the edge grinding machine, the toughening furnace and the pairing bin.
S302, constructing a digital twin model of each production device according to the modeling information of each production device.
In this embodiment, the computer device respectively constructs corresponding digital twin models according to the modeling information of each production device, and the process of constructing the digital twin model of each production device is the same as that of step S202 in fig. 2. By the same example, the computer device constructs the digital twin model of each device according to the modeling information corresponding to the cutting machine, the edge grinding machine, the toughening furnace and the pairing bin.
And S303, connecting the digital twin models of the production equipment through the interface information of the production equipment to form a production line model.
Optionally, the modeling information further includes interface information of the production equipment. The interface information at least comprises a mechanical interface, an electric control interface, a network interface and a data interface of the production equipment; the mechanical interface is used for data interaction among all digital twin models in the production line model; the electric control interface is used for data interaction between the production equipment and the controller; for example, data interaction with controllers such as a Programmable Logic Controller (PLC) and a board; the network interface is used for interaction between the digital twin model and a communication protocol supporting industrial Ethernet communication; the data interface is used for accessing the interface of the database by the digital twin model.
In this embodiment, the computer device connects the digital twin models of the production devices according to the process route planning of the production line and the tact of the production line required for interconnection and interworking between the devices through the interface information of each production device, so as to construct a production line model, and simulate the production line through the production line model. Alternatively, if the digital twin model of each production device in the production line exists in the database, the computer device may directly obtain the corresponding digital twin model from the database to construct the production line model. By the same example, the computer device builds the model of the hollow glass deep processing production line for simulation by using the cutter model, the edge grinding machine model, the toughening furnace model and the matching bin model according to the interface information of each production device, as shown in fig. 3a, the hollow glass deep processing production line model only shows the connection relationship among the models, and the embodiment of the present invention is not limited thereto.
According to the modeling simulation method, the computer equipment acquires modeling information of each production equipment; constructing a digital twin model of each production device according to the modeling information of each production device; and connecting the digital twin models of the production equipment through the interface information of the production equipment to form a production line model. The production line is simulated through the production line model, the feasibility of the production line can be checked, and therefore the design scheme of the production line is adjusted according to the simulation.
On the basis of the above-described embodiments shown in fig. 2 to 3, the modeling information used for constructing the digital twin model of the production facility includes the structural information and the operational motion control information of the production facility. Next, specific information included in the configuration information and the operation control information of the production apparatus will be described. Optionally, the structural information includes at least size information, appearance form information, internal structure information, assembly relationship information, and physical attribute information of the production equipment.
Wherein the physical attribute information represents physical characteristics of the production equipment.
In the embodiment, the computer device constructs the static digital twin model according to the size information, the appearance form information, the internal structure information, the assembly relation information and the physical attribute information of the production device, so that the size, the appearance information, the internal structure and the assembly relation and the physical attribute information among all parts of the static digital twin model are consistent with those of the actual production device; and storing the dimension information and the physical attribute information into a database, and inquiring basic information of the production equipment by calling the dimension information and the physical attribute information of the digital twin model in the database.
Optionally, the operation action control information at least includes control logic, action sequence, motion plan, response event, and timing event of the production equipment; the motion plan represents the relation of speed, acceleration, time or space position of each action of the production equipment in the execution process; the response event represents an event triggered at an external condition.
In this embodiment, motion control information of the production facility is used to edit a control script that controls the operation of the static digital twin model. The computer equipment determines the control relationship, the sequence and the spatial relationship of the action, the response event and the timing event of each part of the production equipment according to the operation action control information, edits the control script to enable the static digital twin model to be dynamic, and packages the static digital twin model by combining the interface information of the production equipment to obtain the digital twin model, so that the digital twin model can complete the same processing action as the actual production equipment.
According to the modeling simulation method, the computer equipment constructs the static digital twin model according to the structural information of the production equipment, and edits the control script according to the operation action control information to enable the static digital twin model to be dynamic, so that the digital twin model is obtained. According to the structural information and the operation action control information of the production equipment, a digital twin model is constructed, so that the digital twin model is more fit with the actual production equipment, and the simulation effect of the virtual production line is improved.
Further, the process control program for controlling the operation of the digital twin model is a script constructed according to the actual process explicit knowledge of the production equipment and the operation action control information, as shown in fig. 4, the process of acquiring the actual process explicit knowledge of the production equipment includes:
s401, acquiring actual production parameters and production implicit knowledge of production equipment.
The production implicit knowledge represents the implicit knowledge of production equipment in the production line processing process, the implicit knowledge represents the knowledge that can't clearly express and effectual transfer, and is relative with the implicit knowledge, and the knowledge that explicit knowledge can clearly express and effectual transfer expresses just can obtain the explicit knowledge with the explicit knowledge clearly, and the implicit knowledge is the domination promptly. For example, during the grinding process, a worker operates the edge grinding machine to analyze the material and thickness of a processed product and the rotating speed, the material and the service time of a grinding wheel according to the accumulated grinding experience, wherein the grinding experience is implicit knowledge in production. Optionally, the actual production parameters of the production device comprise at least device data, production data, process data, quality data of the production device.
In this embodiment, the computer device obtains actual production parameters and production stealth knowledge of the production equipment during the production line processing. And the obtained actual production parameters and the production invisible knowledge are checked, classified and encoded, and invalid actual production parameters and production invisible knowledge are filtered out. Optionally, the actual production parameters and production implicit knowledge are analyzed from the actual manufacturing process of the production facility.
S402, carrying out structured display on the actual production parameters according to the production implicit knowledge to obtain actual process explicit knowledge.
In this embodiment, the computer device visualizes the production implicit knowledge in a structured design method through association, analysis, mining and other methods to obtain the internal relation between the actual production parameters, and visualizes the internal relation in a data form to obtain the actual process explicit knowledge, and stores the actual process explicit knowledge in a database in a structured manner. And highly abstracting the actual process explicit knowledge by adopting an objectification idea to obtain an abstract class of the corresponding knowledge, instantiating the abstract class and obtaining a process data table which can be identified by computer equipment. For example, the process data table analyzes the intrinsic relationship between the material and thickness of the processed product, the rotation speed and material and service time of the grinding wheel and the grinding thickness of the processed product according to the grinding experience, and determines the grinding thickness of the processed product by analyzing the material and thickness of the processed product, the rotation speed and material and service time of the grinding wheel according to the process data table.
According to the modeling simulation method, the computer equipment obtains actual production parameters and production implicit knowledge of the production equipment; and carrying out structured display on actual production parameters according to the production implicit knowledge to obtain actual process explicit knowledge. The digital twin model is integrated with process knowledge, the processing quality of the virtual product is improved, the digital twin model is more intelligent, and the simulation result of the virtual production line is more accurate by being more fit with actual production equipment.
On the basis of the embodiment shown in fig. 2, as shown in fig. 5, the digital twin model is run through a process control program to obtain a simulation result, and whether the digital twin model meets the design requirements or not is verified according to the simulation result.
S501, judging whether the simulation result meets preset standard simulation data.
The preset standard simulation data represent processing task data which can be completed by actual production equipment. For example, the standard simulation data of the digital twin model of the cutting machine may be cutting time, cutting path, cutting angle, and the like.
In this embodiment, the computer device determines preset standard simulation data according to the simulation result, and verifies whether the digital twin model meets the design requirements. The computer equipment sets corresponding parameters, runs the digital twin model through a process control program to complete a certain action task, and judges whether a simulation result meets preset standard simulation data. For example, parameters are set so that a digital twin model of the cutting machine cuts a ring, and whether the size and the shape of the ring meet preset requirements is judged according to a cutting result.
And S502, if the two twin models are matched, storing the digital twin model.
In this embodiment, after the computer device is judged, if the simulation result meets the preset standard simulation data, it indicates that the digital twin model meets the design requirement, and stores the digital twin model in the database, and when the production line model is constructed, the digital twin model of the corresponding production device can be obtained from the database as needed. And if the simulation result does not accord with the preset standard simulation data, debugging the digital twin model according to the simulation result so as to meet the design requirement.
According to the modeling simulation method, the computer equipment runs the digital twin model through the process control program to obtain the simulation model, judges whether the simulation result meets the preset standard simulation data, and stores the digital twin model if the simulation result meets the preset standard simulation data. By simulating the digital twin model, whether the design requirement is met is verified, the constructed digital twin model can complete the corresponding processing task, and the simulation result of the production line is improved. The digital twin model meeting the design requirements is stored in the database, so that the digital twin model can be reused, the time for building a virtual production line is saved, and the simulation efficiency of the production line is improved.
Based on all the embodiments described above, as shown in fig. 6, a flowchart of a modeling simulation method is provided, where the flowchart includes:
s601, three-dimensional modeling, namely establishing a static digital twin model by using structural information of production equipment;
and S602, carrying out model dynamization, and editing a control script of the static digital twin model according to the running motion control information of the production equipment.
And S603, encapsulating the model, setting interface information of the digital twin model, and encapsulating the digital twin model to obtain the data twin model.
S604, data processing, namely collecting actual production parameters and production implicit knowledge of production equipment, and checking, classifying and coding the actual production parameters and the production implicit knowledge.
And S605, making process knowledge explicit, and performing structured display on actual production parameters according to the production implicit knowledge to obtain the actual process explicit knowledge.
And S606, programming process knowledge, adopting an objectification thought to highly abstract actual process explicit knowledge to obtain an abstract class of corresponding knowledge, instantiating the abstract class, and obtaining a process data table which can be recognized by computer equipment.
And S607, repackaging the data twin model and the process data table, and binding the control script of the digital twin model and the process data table of the production equipment to obtain a process control program.
S608, performing model simulation, running a digital twin model through a process control program to obtain a simulation result,
and S609, verifying whether the model is in accordance, judging whether the simulation result is in accordance with the preset standard simulation data, if so, executing S6010, and otherwise, executing S601 and S602.
S6010, warehousing the model, and storing the digital twin model meeting the design requirement in a database.
S6011, building a virtual production line, and calling a digital twin model to build the virtual production line.
The specific implementation of fig. 6 may refer to the implementation process of the embodiment corresponding to the modeling simulation method, and is not described herein again.
According to the modeling simulation method, a static digital twin model consistent with the size, the appearance and the structure of production equipment is established through the structural information of the production equipment; and editing a control script of the static digital twin model according to the running motion control information of the production equipment, enabling the static digital twin model to be dynamic, setting corresponding interface information, and packaging to obtain the digital twin model. Collecting and screening actual production parameters and production implicit knowledge of production equipment, displaying the actual production parameters by the production implicit knowledge to obtain actual process explicit knowledge, programming the actual process explicit knowledge to obtain a process data sheet, binding the process data sheet and a control script of a digital twin model to obtain a process control program, verifying whether the design requirements are met by operating the digital twin model, storing the digital twin model meeting the design requirements into a database, and calling the digital twin model to build a virtual production line. The digital twin model obtained by the method has the same size, appearance and structure as those of actual production equipment, and can complete the same work task as the actual production equipment. The process control program of the digital twin model is further integrated with process knowledge, is more intelligent, the quality of processed products is higher, the simulation result of the virtual production line is more accurate, the constructed digital twin model is stored in the database and can be called along with the database, the time for building the virtual production line is reduced, and the simulation efficiency of the production line is improved.
It should be understood that although the various steps in the flow charts of fig. 2-6 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-6 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternating with other steps or at least some of the sub-steps or stages of other steps.
In one embodiment, as shown in FIG. 7, there is provided a modeling apparatus 700, comprising: a first obtaining module 701, a building module 702 and a simulation module 703, wherein:
a first obtaining module 701, configured to obtain modeling information of a production device; the modeling information comprises structural information and operation action control information of the production equipment;
a construction module 702, configured to construct a digital twin model of the production equipment according to the modeling information;
the simulation module 703 is used for running the digital twin model through a process control program to obtain a simulation result; the process control program is a script constructed according to actual process explicit knowledge and operation action control information of the production equipment.
In one embodiment, the modeling information further includes interface information of the production equipment; if a production line comprises a plurality of production devices; as shown in fig. 8, the apparatus 700 further includes:
a first obtaining module 701, configured to obtain modeling information of each production device;
a building module 702, configured to build a digital twin model of each production device according to the modeling information of each production device;
and the connecting module 704 is used for connecting the digital twin models of the production equipment through the interface information of the production equipment to form a production line model.
In one embodiment, the structural information includes at least size information, appearance form information, internal structure information, assembly relationship information, physical attribute information of the production equipment; wherein the physical attribute information represents physical characteristics of the production equipment.
In one embodiment, the operational motion control information includes at least control logic, motion sequences, motion plans, response events, timing events for the production facility; the motion plan represents the relation of speed, acceleration, time or space position of each action of the production equipment in the execution process; the response event represents an event triggered at an external condition.
In one embodiment, the interface information at least comprises a mechanical interface, an electric control interface, a network interface and a data interface of the production equipment; the electric control interface is used for the interface information of data interaction between the production equipment and the controller.
In one embodiment, as shown in fig. 9, the apparatus 700 further comprises:
a second obtaining module 705, configured to obtain actual production parameters and production implicit knowledge of the production equipment;
and the display module 706 is used for performing structured display on the actual production parameters according to the production implicit knowledge to obtain actual process explicit knowledge.
In one embodiment, the actual production parameters of the production plant comprise at least plant data, production data, process data, quality data of the production plant.
In one embodiment, as shown in fig. 10, the apparatus 700 further comprises:
a judging module 707, configured to judge whether the simulation result meets preset standard simulation data;
a storage module 708, configured to store the digital twin model if the two models are matched.
The implementation principle and technical effect of all the embodiments of the modeling simulation apparatus are similar to those of the embodiments corresponding to the modeling simulation method, and are not described herein again.
For specific limitations of the modeling simulation apparatus, reference may be made to the above limitations of the modeling simulation method, which are not described herein again. The modules in the modeling simulation apparatus can be wholly or partially implemented by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 11. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a modeling simulation method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 11 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
obtaining modeling information of production equipment; the modeling information comprises structural information and operation action control information of the production equipment;
constructing a digital twin model of the production equipment according to the modeling information;
running a digital twin model through a process control program to obtain a simulation result; the process control program is a script constructed according to actual process explicit knowledge and operation action control information of the production equipment.
The implementation principle and technical effect of the computer device provided by the above embodiment are similar to those of the above method embodiment, and are not described herein again.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
obtaining modeling information of production equipment; the modeling information comprises structural information and operation action control information of the production equipment;
constructing a digital twin model of the production equipment according to the modeling information;
running a digital twin model through a process control program to obtain a simulation result; the process control program is a script constructed according to actual process explicit knowledge and operation action control information of the production equipment.
The implementation principle and technical effect of the computer-readable storage medium provided by the above embodiments are similar to those of the above method embodiments, and are not described herein again.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (11)
1. A modeling simulation method, the method comprising:
obtaining modeling information of production equipment; the modeling information comprises structural information and operation action control information of the production equipment;
constructing a digital twin model of the production equipment according to the modeling information;
running the digital twin model through a process control program to obtain a simulation result; the process control program is a script constructed according to the actual process explicit knowledge of the production equipment and the operation action control information.
2. The method of claim 1, wherein the modeling information further includes interface information of the production equipment; if a production line comprises a plurality of said production devices; the method further comprises:
obtaining modeling information of each production device;
constructing a digital twin model of each production device according to the modeling information of each production device;
and connecting the digital twin models of the production equipment through the interface information of the production equipment to form a production line model.
3. The method according to claim 1 or 2, wherein the structural information includes at least size information, appearance form information, internal structure information, fitting relationship information, physical property information of the production equipment; wherein the physical attribute information represents a physical characteristic of the production device.
4. The method according to claim 1 or 2, wherein the operational motion control information comprises at least control logic, motion sequences, motion plans, response events, timing events of the production equipment; wherein the motion plan represents the relation of speed, acceleration, time or space position of each action of the production equipment in the execution process; the response event represents an event triggered at an external condition.
5. The method according to claim 1 or 2, wherein the interface information comprises at least a mechanical interface, an electronic control interface, a network interface, a data interface of the production equipment; wherein, the electric control interface is used for data interaction between the production equipment and the controller.
6. The method of claim 1, wherein the obtaining of the explicit knowledge of the actual process of the production facility comprises:
acquiring actual production parameters and production implicit knowledge of the production equipment;
and carrying out structured display on the actual production parameters according to the production implicit knowledge to obtain the actual process explicit knowledge.
7. The method according to claim 6, characterized in that the actual production parameters of the production plant comprise at least plant data, production data, process data, quality data of the production plant.
8. The method of claim 1, wherein after obtaining the simulation results, the method further comprises:
judging whether the simulation result meets preset standard simulation data or not;
and if so, storing the digital twin model.
9. A modeling simulation apparatus, the apparatus comprising:
the first acquisition module is used for acquiring modeling information of the production equipment; the modeling information comprises structural information and operation action control information of the production equipment;
the construction module is used for constructing a digital twin model of the production equipment according to the modeling information;
the simulation module is used for operating the digital twin model through a process control program to obtain a simulation result; the process control program is a script constructed according to the actual process explicit knowledge of the production equipment and the operation action control information.
10. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 7 when executing the computer program.
11. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
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