CN113344505A

CN113344505A - Sanitary ware product assembly production management system and method based on digital twinning

Info

Publication number: CN113344505A
Application number: CN202110509913.6A
Authority: CN
Inventors: 杨瑞; 黎宇弘; 胡睿晗; 徐永谦; 莫庆龙
Original assignee: Institute of Intelligent Manufacturing of Guangdong Academy of Sciences
Current assignee: Institute of Intelligent Manufacturing of Guangdong Academy of Sciences
Priority date: 2021-05-11
Filing date: 2021-05-11
Publication date: 2021-09-03

Abstract

The invention provides a sanitary ware product assembly production management system and method based on digital twinning. The scheme comprises the following steps: a physical space subsystem, a virtual space subsystem and a digital twin model; the physical space subsystem is used for providing signal acquisition, the assembly working condition of the sanitary ware equipment and the production working condition of the sanitary ware equipment; the virtual space subsystem is used for simulating a three-dimensional physical model, a virtual intelligent assembly scene and a virtual intelligent production scene according to the information transmitted by the digital twin model; and the digital twin model is used for receiving sanitary equipment signal acquisition data provided by the physical space subsystem and acquiring twin data of body equipment, an assembly process, a production process and performance of the sanitary equipment according to the sanitary equipment signal acquisition data. According to the scheme, perception analysis, simulation, iterative optimization and decision management are carried out through a visual three-dimensional model, and remote visual management of intelligent assembly of sanitary equipment is realized by using data virtual scene numbers.

Description

Sanitary ware product assembly production management system and method based on digital twinning

Technical Field

The invention relates to the technical field of sanitary ceramics, in particular to a sanitary ware product assembly production management system and method based on digital twinning.

Background

Sanitary ceramic product assembly is a technology where discrete and continuous mixing coexist. In the traditional sanitary ware assembly field, experience is often a fuzzy and hard-to-grasp form, and the fuzzy and hard-to-grasp form is difficult to be taken as a basis for accurate judgment.

At present, a virtual reality simulation technology is adopted in a three-dimensional application scene of production management of sanitary ware products, data of a physical model and virtual simulation are asynchronous, self-learning and self-optimization capabilities of the simulation model are weak, computability and information interaction capability are lacked, and intelligent sensing, real-time monitoring, accurate guidance and health prediction cannot be carried out on intelligent assembly application management and operation equipment of the sanitary ware products.

With the increasing popularity of new personal products and personal service models, such as customized, intelligent interconnection, ceramic product-as-a-service, etc., customers are becoming more and more critical, and their expectations for personal product experience are rising to an unprecedented level. Thus, enterprises need to provide a more personalized customer experience and to be able to continually adjust and optimize products according to changes in customer needs, all the while maintaining a close relationship with the customer. However, to achieve this goal, enterprises need to overcome the serious obstacles: to create a new customer-oriented experience, enterprises need to more sharply capture changes in customer needs and have the ability to quickly respond to the changes. For example, products with faster iteration and shorter life cycle are personalized, so that the complexity of the products is increased, the uncertainty of demand fluctuation is larger, and higher requirements are put on the design, supply chain and manufacture of sanitary ware equipment.

Disclosure of Invention

In view of the problems, the invention provides a sanitary ware product assembly production management system and method based on digital twins.

According to a first aspect of the embodiment of the invention, a digital twin-based sanitary ware product assembly production management system is provided.

In one or more embodiments, preferably, the system for managing assembly and production of the digital twin-based sanitary ware product comprises: a physical space subsystem, a virtual space subsystem and a digital twin model;

the physical space subsystem is used for providing signal acquisition, assembly working condition conditions of the sanitary ware equipment and production working condition conditions of the sanitary ware equipment;

the virtual space subsystem is used for simulating a three-dimensional physical model, a virtual intelligent assembly scene and a virtual intelligent production scene according to the information transmitted by the digital twin model;

the digital twin model is used for receiving sanitary equipment signal acquisition data provided by the physical space subsystem and obtaining body equipment twin data, assembly process twin data, production process twin data and performance twin data of the sanitary equipment according to the sanitary equipment signal acquisition data.

In one or more embodiments, preferably, the existence of the cyber-physical mapping relationship between the physical space subsystem and the virtual space subsystem specifically includes:

the physical space subsystem includes: the system comprises sanitary ware equipment, a sanitary ware assembling equipment state, a sanitary ware assembling equipment assembling process module and an MES information acquisition device;

the virtual space subsystem comprises a sanitary ware assembly equipment physical model, a sanitary ware equipment virtual state and a virtual scene production process module;

the sanitary ware assembling equipment physical model is mapped with the sanitary ware assembling equipment through the digital twin model;

the states of the sanitary ware assembling equipment are mapped with the virtual states of the sanitary ware equipment through the digital twin model;

the sanitary ware assembling equipment assembling process module is mapped with the virtual scene generation process module through the digital twin model.

In one or more embodiments, preferably, the digital twin model specifically includes: a sensing layer, a network layer, a data layer and a presentation layer;

the sensing layer is used for sensing the working condition environment of the intelligent assembly scene, the equipment operation parameters and the equipment working state and providing information flow for the object twins of the digital twins;

the network layer is used for unified networking, protocol conversion, edge calculation and network transmission of the intelligent assembly scene equipment and provides communication interfaces for the sensing layer and the data layer;

the data layer is used for convergence fusion, iterative computation, data twinning, analysis mining and storage management of multi-source data of an intelligent assembly scene, and provides data flow for performance twinning of digital twinning;

the presentation layer is used for providing digital twin and information interaction service for users, and state recognition, equipment positioning, real-time monitoring and online operation and maintenance of the intelligent assembly application scene equipment.

In one or more embodiments, preferably, the virtual space subsystem specifically includes: the system comprises a sanitary ware assembly equipment physical model, a sanitary ware equipment virtual state, a virtual scene production process module, a performance module, an equipment process optimization module and an equipment health prediction module;

the sanitary ware assembling equipment physical model is used for receiving object twin mapping data in the digital twin model;

the sanitary ware equipment virtual state is used for receiving a process twin module in the digital twin model for data interaction, acquiring process twin data and sending the data to the equipment health prediction module;

the virtual scene production process module is used for receiving the process twin model in the digital twin model for data interaction, acquiring process twin data and sending the process data of the virtual scene to the equipment process optimization module;

the performance module is used for analyzing and adjusting the performance according to the data of the equipment process optimization module;

the equipment process optimization module is used for receiving the data of the virtual scene production process module, performing online data optimization and then sending the data to the performance module;

the equipment health prediction module is used for evaluating the health degree of the equipment on line.

According to a second aspect of the embodiment of the invention, a digital twin-based sanitary ware product assembly production management method is provided.

The method for assembling, producing and managing the sanitary ware products based on the digital twin comprises the following steps:

selecting a physical entity in a physical space subsystem as a physical model for establishing three-dimensional visualization, determining the geometric attribute, the motion attribute, the functional attribute, the geometric shape and the mechanical structure of the physical entity, and determining simulation and evaluation optimization conditions;

establishing a controllable logic model in the digital twin model, mapping the physical model to the logic model in the digital twin model, describing the composition elements, the organization structure and the operation mechanism of the digital twin model through graphs, and reflecting the geometric attributes, the motion attributes, the functional attributes and the states of the sanitary ware equipment into a physical space subsystem;

converting the logical model into a visual image-based simulation model within a digital twin model;

acquiring real-time data and historical data according to the simulation model, training and optimizing the simulation model, extracting the external data when the output of the simulation model is closest to the actual output, and feeding the simulation result back into the physical model in the physical space subsystem;

carrying out consistency and confidence verification on the output result of the physical model and the data result of the logic model;

acquiring the current logic model meeting the consistency verification condition, and replacing data in the logic model on line through a data mining and multi-source data fusion algorithm according to a data acquisition result;

and the virtual space subsystem is used for carrying out data interaction between the physical space subsystem and the virtual space subsystem on line through the geometric attributes, the motion attributes, the functional attributes, the geometric shapes and the mechanical structures of the logic model and the physical entity, and optimizing the logic model in a mode of minimizing an objective function.

In one or more embodiments, the data processing method preferably further includes a data flow method, where the data flow method specifically includes:

establishing a three-dimensional model of a physical entity of a sanitary ware assembly scene by using a three-dimensional modeling tool, and solving structure parameters, geometric parameters, material parameters, state parameters and boundary conditions of the three-dimensional model through finite element analysis;

rendering a model structure perspective view or a point cloud picture by using a unity 3D/3DsMax3DsMax three-dimensional rendering tool for the physical entity three-dimensional model, adding materials, and performing repairing optimization on the edge of the physical entity three-dimensional model to generate a virtual three-dimensional model;

importing the virtual three-dimensional model into a virtual reality simulation engine, and constructing a visual production process and virtual display of a working scene by using a physical engine;

and multi-source sensor data in the physical entity and monitoring data in the physical model are used as input, the input data are transmitted to the virtual space subsystem after multi-source data are fused, information exchange with the physical entity is completed, and fused data of real-time sensor data, historical data and the simulation model are stored in a cloud database.

In one or more embodiments, it is preferable that the method further includes a production building flow method, where the production building flow method specifically includes:

acquiring a panoramic view of a physical model of a sanitary assembly scene in a three-dimensional scene;

defining a mechanical structure in a panoramic image of the sanitary ware assembly scene physical model;

adding production motion parameters, structural data and geometric data in the sanitary ware assembly scene physical model and optimizing boundary conditions;

importing the sanitary ware assembly scene physical model, rendering by using 3DsMax, performing rendering optimization on the edge of the sanitary ware assembly scene physical model, and outputting a rendering model;

driving a graphics rendering engine to render and draw the rendering model by using the calculation result of the Unity3D physics engine;

analyzing physical mechanical movement, production and control of a ceramic assembly scene, and solving the relation between the production efficiency and the movement state variable;

constructing a visual simulation production process by combining the panoramic picture in the sanitary ware assembly scene physical model by utilizing the relation between the production efficiency and the motion state variable;

optimizing and verifying the simulation production process, outputting the simulation model if the optimization iteration condition is met, and otherwise, continuing the iteration until the iteration optimization condition is met.

In one or more embodiments, preferably, the formula of the confidence verification is:

Confidence(A＝>B)＝P(B|A)＝(COUNT(A∪B))/(COUNT(A))

the Confidence level of the association rule from a to B is defined as Confidence level, P (B | a) is probability of performing a task after performing a task, COUNT (a ═ B) is frequency of occurrence of a task or B task, and COUNT (a) is frequency of occurrence of a task.

According to a third aspect of embodiments of the present invention, there is provided a computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the method according to any one of the first aspect of embodiments of the present invention.

According to a fourth aspect of embodiments of the present invention, there is provided an electronic device comprising a memory and a processor, wherein the memory is configured to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the steps of any one of the first aspect of embodiments of the present invention.

The technical scheme provided by the embodiment of the invention can have the following beneficial effects:

1) in the embodiment of the invention, various attributes of physical equipment are mapped into a virtual space by means of digital twin design combined with model three-dimensional simulation, Internet of things, virtualization and digitization, so that a detachable, reproducible, transferable, modifiable, deleteable and repeatedly-operable digital mirror image is formed, the understanding of operators to physical entities is accelerated, and a plurality of operations which cannot be finished originally because of physical condition limitation and dependence on real physical entities, such as analog simulation, batch replication, virtual assembly and the like, can be realized to form a function capable of realizing online design.

2) In the embodiment of the invention, the indexes which cannot be directly managed in the original sanitary equipment are inferred by machine learning by means of the Internet of things and a big data technology through collecting the direct data of the limited physical sensor indexes and by means of a big sample library.

3) In the embodiment of the invention, by combining data acquisition of the Internet of things, big data processing and artificial intelligent modeling analysis, the evaluation of the current state, the diagnosis of problems occurring in the past and the prediction of future trends are realized, the analysis result is given, various possibilities are simulated, more comprehensive decision support is provided, the expert experience which cannot be stored originally can be digitalized through a digitalized means, and the capabilities of storing, copying, modifying and transferring are provided.

Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

Fig. 1 is a block diagram of a digital twin-based sanitary product assembly production management system according to an embodiment of the present invention.

Fig. 2 is a schematic diagram of a digital twin-based sanitary ware product assembly production management system according to an embodiment of the invention.

Fig. 3 is a schematic diagram of a mapping relationship between the physical space subsystem and the virtual space subsystem in the digital twin-based sanitary product assembly production management system according to an embodiment of the present invention.

Fig. 4 is a structural diagram of the digital twin model in the digital twin-based sanitary product assembly production management system according to an embodiment of the invention.

Fig. 5 is a block diagram of the virtual space subsystem in a digital twin-based sanitary product assembly production management system according to an embodiment of the present invention.

Fig. 6 is a block diagram of a toilet assembly line in a digital twin-based sanitary ware product assembly production management system according to an embodiment of the present invention.

Fig. 7 is a flow chart of a method for managing assembly production of a digital twin-based sanitary ware product according to an embodiment of the invention.

Fig. 8 is a flowchart of a data flow method in the digital twin-based sanitary ware product assembly production management method according to an embodiment of the present invention.

Fig. 9 is a flowchart of a production build flow method in the digital twin-based sanitary product assembly production management method according to an embodiment of the present invention.

Fig. 10 is a block diagram of an electronic device in one embodiment of the invention.

Detailed Description

In some of the flows described in the present specification and claims and in the above figures, a number of operations are included that occur in a particular order, but it should be clearly understood that these operations may be performed out of order or in parallel as they occur herein, with the order of the operations being indicated as 101, 102, etc. merely to distinguish between the various operations, and the order of the operations by themselves does not represent any order of performance. Additionally, the flows may include more or fewer operations, and the operations may be performed sequentially or in parallel. It should be noted that, the descriptions of "first", "second", etc. in this document are used for distinguishing different messages, devices, modules, etc., and do not represent a sequential order, nor limit the types of "first" and "second" to be different.

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

At present, virtual reality simulation technologies such as VR or AR are adopted in a three-dimensional application scene of sanitary ware product production management, data of a physical model and virtual simulation are asynchronous, self-learning and self-optimization capabilities of the simulation model are weak, computability and information interaction capability are lacked, and intelligent sensing, real-time monitoring, accurate guidance and health prediction cannot be carried out on intelligent assembly application management and operation equipment of sanitary ware products.

The embodiment of the invention provides a sanitary ware product assembly production management system and method based on digital twinning. According to the scheme, perception analysis, simulation, iterative optimization and decision management are carried out through a visual three-dimensional model, and remote visual management of intelligent assembly of sanitary equipment is realized by using data virtual scene numbers.

In one or more embodiments, as shown in fig. 1, preferably, the system for managing assembly and production of a digital twin-based sanitary product comprises: a physical space subsystem 101, a virtual space subsystem 102, and a digital twin model 103;

the physical space subsystem 101 is used for providing signal acquisition, assembly working condition conditions of the sanitary equipment and production working condition conditions of the sanitary equipment;

the virtual space subsystem 102 is used for simulating a three-dimensional physical model, a virtual intelligent assembly scene and a virtual intelligent production scene according to the information transmitted by the digital twin model;

the digital twin model 103 is used for receiving sanitary equipment signal acquisition data provided by the physical space subsystem, and obtaining body equipment twin data, assembly process twin data, production process twin data and performance twin data of the sanitary equipment according to the sanitary equipment signal acquisition data.

In the embodiment of the invention, the physical space is utilized to obtain data, the real-time running state and the real-time generation state are monitored, and the online data obtained by monitoring is mapped into the virtual space subsystem through the digital twin model to carry out secondary data processing. Finally, a twin three-dimensional physical model of the sanitary ware device is generated in the virtual space, the three-dimensional physical model is used for carrying out online operation state, historical operation data and predicted operation data operation on the sanitary ware device, and online evaluation is carried out by using the online operation state, the historical operation data and the predicted operation data.

Fig. 2 is a schematic diagram of a digital twin-based sanitary ware product assembly production management system according to an embodiment of the invention. As shown in fig. 2, in a specific implementation process, the sanitary ware product assembly production management system specifically includes a physical space, a virtual space, and a digital twin model, a three-dimensional physical model controllable logic model, a computable data model, and a visual simulation model exist in the digital twin model, and are formed by coupling and evolving the three-dimensional physical model, the controllable logic model, and the visual simulation model, and object twin, process twin, and performance twin of a physical entity are realized by using data mapped online by the digital twin model. The virtual scene which is consistent with the physical space in the geometric structure in the visual effect is constructed through the scheme, a man-machine interaction platform is provided for digital twins, the interactivity of the model is reflected, then the logical model is utilized to model the composition elements, the organization structure and the operation process of the physical space, the optimization of the physical model is realized through the fusion and analysis of multi-source data such as historical data, updated data and simulation data, the virtual scene which is consistent with the motion state of the physical model is achieved, and the controllability of the model is reflected. In addition, 1:1 mirroring of a physical space or a virtual space is realized by constructing data acquisition communication, data analysis, optimization and decision, and the computability of the model is reflected. The evolution process comprises the following steps: the method comprises the steps of carrying out simulation of a digital twinborn model based on simulation model verification of perception analysis and edge calculation, carrying out real-time monitoring and production process control of a digital twinborn scene based on data driving, carrying out data mining and model iterative optimization based on a convolutional neural network, and realizing mapping reconstruction and information interaction from a physical space to a virtual space, namely completing a full-period evolution closed-loop process from intelligent assembly scene virtualization to scene model digitization, then to digital scene mirroring and mirror scene digital twinning.

As shown in fig. 3, in one or more embodiments, preferably, an information physical mapping relationship exists between the physical space subsystem 101 and the virtual space subsystem 102, which specifically includes:

the physical space subsystem 101 includes: the system comprises sanitary ware equipment 301, a sanitary ware assembling equipment state 302, a sanitary ware assembling equipment assembling process module 303 and an MES information acquisition device 304;

the virtual space subsystem 102 comprises a sanitary ware assembling equipment physical model 305, a sanitary ware equipment virtual state 306 and a virtual scene production process module 307;

the sanitary assembling equipment physical model 301 is mapped with the sanitary assembling equipment 305 through the digital twin model;

the satellite equipment state 302 is mapped with the satellite equipment virtual state 306 through the digital twin model;

the sanitary ware assembling device assembling process module 303 is mapped with the virtual scene generation process module 307 through the digital twin model.

In the embodiment of the invention, the information physical mapping relation between the intelligent assembling scene in the physical space and the intelligent assembling scene in the virtual space is given. The digital twin model is composed of a three-dimensional physical model, a controllable logic model, a computable data model and a visual simulation model, and is formed by coupling the three-dimensional physical model, the controllable logic model and the visual simulation model. Object twinning, process twinning and performance twinning of physical entities are achieved based on digital twinning and data driving. Through the mapping mode, the visual simulation model can provide a human-computer interaction platform for digital twins by constructing a virtual scene with a geometric structure consistent with that of a physical space in visual effect, and the interchangeability of the model is reflected.

The MES information collection device is specifically an MES system (collectively referred to as a manufacturing execution system) which is a production information management system oriented to a workshop execution layer of a manufacturing enterprise. The MES system adopts a data acquisition engine and an integrated data acquisition channel to cover the whole factory manufacturing field, thereby ensuring the real-time, accurate and comprehensive acquisition of field data.

Fig. 4 is a structural diagram of the digital twin model 103 in the digital twin-based sanitary product assembly production management system according to an embodiment of the present invention.

As shown in fig. 4, in one or more embodiments, preferably, the digital twin model 103 specifically includes: a sensing layer 401, a network layer 402, a data layer 403, and a presentation layer 404;

the sensing layer 401 is used for sensing the working condition environment of the intelligent assembly scene, the equipment operation parameters and the equipment working state and providing information flow for the object twins of the digital twins;

the network layer 402 is used for unified networking, protocol conversion, edge calculation and network transmission of the intelligent assembly scene equipment, and provides a communication interface for the sensing layer and the data layer;

the data layer 403 is used for convergence fusion, iterative computation, data twinning, analysis mining and storage management of multi-source data of an intelligent assembly scene, and provides data flow for performance twinning of digital twinning;

the presentation layer 404 is used for providing digital twin and information interaction services for users, and state identification, device positioning, real-time monitoring and online operation and maintenance of intelligent assembly application scene devices.

In the embodiment of the invention, the sensing layer is used as the bottommost layer of the digital twin data model and is used for sensing the working condition environment, the equipment operation parameters and the equipment working state of the intelligent assembly scene and providing information flow for the twin of the digital twin object; the network layer is arranged above the perception layer of the data model and used for unified networking, protocol conversion, edge calculation and network transmission of the intelligent assembly scene equipment, provides communication interfaces for the perception layer and the data layer and provides a control flow for the twin in the digital twin process; the data layer is arranged above a network layer of the data model and is used for convergence fusion, iterative computation, data twinning, analysis mining and storage management of multi-source data of an intelligent assembly scene, and data flow is provided for performance twinning of the digital twinning; the presentation layer is arranged on the uppermost layer of the data model, digital twin and information interaction services are provided for users, intelligent identification, accurate positioning, real-time monitoring and reliable operation and maintenance of intelligent assembly application scene equipment are achieved, and decision flow is provided for the digital twin.

As shown in fig. 5, in one or more embodiments, preferably, the virtual space subsystem 102 specifically includes: the method comprises the following steps of a sanitary ware assembly equipment physical model 305, a sanitary ware equipment virtual state 306, a virtual scene production process module 307, a performance module 501, an equipment process optimization module 502 and an equipment health prediction module 503;

In the embodiment of the invention, the sanitary ware assembling equipment generates virtual data in a virtual space after digital twin mapping is carried out, and further forms data for equipment health prediction and equipment assembling process optimization by utilizing deep learning and intelligent analysis.

Fig. 6 is a block diagram of a toilet assembly line in a digital twin-based sanitary ware product assembly production management system according to an embodiment of the present invention. In a specific embodiment, as shown in fig. 6, the digital twin-based sanitary ware product can be used for the toilet bowl production process, specifically comprising manual blank trimming, blank turning machine, plate loading machine, seat sitting machine, liner machine and shell machine, and the online monitoring can be directly carried out on an interface twinned with the original production line by online monitoring the current states of various devices and operation processes, so as to realize the analysis of the past state, the health evaluation of the current state and the prediction of the future state.

As shown in fig. 7, the method for assembling, producing and managing the pottery products based on the digital twin comprises the following steps:

s701, selecting a physical entity in a physical space subsystem as a physical model for establishing three-dimensional visualization, determining the geometric attribute, the motion attribute, the functional attribute, the geometric shape and the mechanical structure of the physical entity, and determining simulation and evaluation optimization conditions;

s702, establishing a controllable logic model in the digital twin model, mapping the physical model to the logic model in the digital twin model, and reflecting the geometric attributes, the motion attributes, the functional attributes and the states of the sanitary ware equipment to a physical space subsystem through describing the composition elements, the organization structures and the operation mechanisms of the digital twin model by graphs;

s703, converting the logic model into a simulation model based on a visual image in the digital twin model;

s704, acquiring real-time data and historical data according to the simulation model, training and optimizing the simulation model, extracting the external condition when the output of the simulation model is closest to the actual output, and feeding the simulation result back to the physical model in the physical space subsystem;

s705, verifying consistency and confidence degree of the output result of the physical model and the data result of the logic model;

s706, acquiring the current logic model meeting the consistency verification condition, and replacing data in the logic model on line through data mining and multi-source data fusion algorithms according to a data acquisition result;

s707, performing online data interaction between the physical space subsystem and the virtual space subsystem through the virtual space subsystem according to the geometric attributes, motion attributes, functional attributes, geometric shapes and mechanical structures of the logical model and the physical entity, and optimizing the logical model in a mode of minimizing an objective function.

In the embodiment of the invention, a physical entity is selected as a physical model for establishing three-dimensional visualization, the geometric attributes, the motion attributes and the functional attributes of the physical entity, the geometric shape and the mechanical structure are defined, and simulation analysis and evaluation optimization conditions are defined. Specifically, a product virtual prototype meeting the technical specification is developed by using a SolidWorks industrial design software tool, various physical parameters of the product are accurately recorded and displayed in a visual mode, and the design accuracy is checked through a series of verification means; simulation and emulation using unity 3D/3DsMax rendering software: the performance and the performance of the product under different external environments are verified through a series of repeatable, variable parameter and accelerated simulation experiments, and the adaptability of the product is verified at the design stage. Simulation of the production process by demo3d simulation software: before the production of the product, the production process under different products, different parameters and different external conditions can be simulated in a virtual production mode, the advance prejudgment of the productivity, the efficiency, the production bottleneck and other problems which may occur is realized, the process of importing a new product is accelerated, and a digital production line: integrating various elements of the production stage, such as raw materials, equipment, process formulas and process requirements, into a tightly cooperated production process by a digital means, and automatically completing the operation under different condition combinations according to a set rule to realize an automatic production process; meanwhile, various data in the production process are recorded, and a basis is provided for subsequent analysis and optimization; key index monitoring and process capability assessment: the method has the advantages that the visual monitoring of the whole production process is realized by collecting the real-time operation data of various production equipment on the production line, the monitoring strategies of key equipment parameters and inspection indexes are established through experience or machine learning, the abnormal conditions of violating the strategies are timely processed and adjusted, and the stable and continuously optimized production process is realized. Remote monitoring and predictive maintenance using a graph data engine knowledge graph: the method comprises the steps of establishing visual remote monitoring by reading various real-time parameters of a sensor or a control system of an intelligent industrial product, giving acquired historical data, establishing a health index system of layered components, subsystems and even the whole equipment, and realizing trend prediction by using artificial intelligence; based on the predicted result, the maintenance strategy and the management strategy of spare parts are optimized, so that the loss of a client caused by unplanned shutdown is reduced and avoided; optimizing the production indexes of customers: for many industrial customers who rely on industrial equipment to achieve production, the rationality of the parameter settings of the industrial equipment and the adaptability to different production conditions often determine the quality and lead time of the product of the customer. And industrial equipment manufacturers can construct experience models aiming at different application scenes and different production processes through mass collected data, and help customers to optimize parameter configuration so as to improve the product quality and the production efficiency of the customers. Product use feedback: by acquiring real-time operation data of the intelligent industrial product, an industrial product manufacturer can know the real requirements of a client on the product, so that the client can be helped to accelerate the leading-in period of the new product, avoid faults caused by wrong use of the product, improve the accuracy of product parameter configuration, more accurately grasp the requirements of the client, and avoid the error of research and development decision. (2) Establishing a controllable logic model, mapping the physical model to the logic model, describing the composition elements, the organization structure and the operation mechanism of the logic model in a graphical and formalized way, and feeding back the attributes and the behaviors of all the elements to the physical model through the logic model to realize the optimization of the physical model. (3) Constructing a visual simulation model based on an Open Scene Graph (OSG) Scene to realize twin object visualization, twin structure visualization and twin process visualization of a physical entity; (4) and (4) training and optimizing the simulation production based on real-time and historical data according to the simulation model established in the step (3), and feeding back the simulation result to the physical model. (5) Carrying out consistency and reliability verification on the physical model and the simulation production by using a model correlation and compatibility measurement and evaluation algorithm, if the target function iterative optimization condition of the simulation model is met, executing the step (6), otherwise, returning to the step (2); (6) and constructing a computable data model, and realizing data mirroring and data exchange of the physical entity and the virtual twin body by adopting a data acquisition, data mining and data decision system, a multi-source data fusion and deep learning algorithm, and an iterative optimization and intelligent decision method. (7) The method integrates a physical model, a controllable logic model, a visual simulation production and a computable data model, and realizes digital twinning, two-way communication and intelligent monitoring of an intelligent assembly scene physical entity and a digital twinning body through data driving and real-time interaction.

As shown in fig. 8, in one or more embodiments, preferably, the method further includes a data flow method, where the data flow method specifically includes:

s801, establishing a three-dimensional model of a physical entity of a sanitary ware assembly scene by using a three-dimensional modeling tool, and solving structural parameters, geometric parameters, material parameters, state parameters and boundary conditions of the three-dimensional model through finite element analysis;

s802, rendering a model structure perspective view or a point cloud picture by using a unity 3D/3DsMax3DsMax three-dimensional rendering tool for the physical entity three-dimensional model, adding materials, and repairing and optimizing the edge of the physical entity three-dimensional model to generate a virtual three-dimensional model;

s803, importing the virtual three-dimensional model into a virtual reality simulation engine, and constructing a visual production process and virtual display of a working scene by using a physical engine;

s804, multi-source sensor data in the physical entity and monitoring data in the physical model are used as input, the input data are transmitted to the virtual space subsystem after multi-source data are fused, information exchange with the physical entity is completed, and fused data of real-time sensor data, historical data and the simulation model are stored in a cloud database.

In the embodiment of the invention, (1) a physical entity three-dimensional model of an intelligent assembly scene is established by using a three-dimensional modeling tool SolidWorks, and a finite element analysis method is adopted to solve the structural parameters, the geometric parameters, the material parameters, the state parameters and the boundary conditions of the three-dimensional model; (2) rendering the obtained three-dimensional model by using a three-dimensional rendering tool to a model structure perspective view or a point cloud picture, adding materials, and repairing and optimizing the edge part of the model structure perspective view or the point cloud picture; (3) importing the rendered model into a virtual reality simulation engine, and constructing visual simulation production based on an open source graph scene OSG by using a built-in physical engine of the virtual reality simulation engine to realize digital twin visual modeling and virtual display of a production process and an operation scene; (4) the multisource sensor data of the physical entity and the monitoring data of the simulation model are used as input and output after multisource data fusion, accordingly, the digital twin is driven to complete information exchange with the physical entity, and the real-time data of the sensor, the historical data and the fusion data of the simulation model are stored in the cloud database; (5) integrating all functions into an extensible framework through OPC UA and TCP/UDP protocols, being platform independent and service oriented; the OPC is called OLE for Process Control, and establishes an interface standard for communication between industrial Control system applications, and the OPC UA integrates all functions of each OPC class specification into an extensible framework for the Unified Architecture (UA) of OPC released in 2008, and is platform-independent and service-oriented. Wherein, the TCP/UDP protocol is the core of the TCP/IP protocol. TCP transport protocol: the TCP protocol is a TCP (transmission Control protocol) protocol and a udp (user data protocol) protocol, which belong to the transport layer protocol. Among other things, TCP provides reliable transmission of data in an IP environment, and provides services including data streaming, reliability, efficient flow control, full duplex operation, and multiplexing. Sending through connection-oriented, end-to-end and reliable data packets. In popular terms, a connected channel is opened for transmitted data in advance, and then the data is transmitted; while UDP does not provide reliability, flow control or error recovery functions for IP. Generally, TCP corresponds to applications with high reliability requirements, while UDP corresponds to applications with low reliability requirements and economical transmission. The communication interface realizes real-time data acquisition, remote communication and real-time update of multi-source dynamic data, provides Web Service for users through the video terminal, the man-machine interface and the database interface, and realizes real-time interaction and virtual monitoring of the intelligent assembly scene digital twin and the physical entity. The Web Service is a network server, is a platform-independent, low-coupling, self-contained and programmable-based network application program, can describe, publish, discover, coordinate and configure the application program by using an open standard universal markup language, and develops a distributed interactive operation application program.

As shown in fig. 9, in one or more embodiments, it is preferable that the method further includes a production building flow method, where the production building flow method specifically includes:

s901, acquiring a panoramic image of a physical model of a sanitary ware assembly scene in a three-dimensional scene;

s902, defining a mechanical structure in a panoramic image of the sanitary ware assembly scene physical model;

s903, adding production motion parameters, structural data and geometric data in the sanitary ware assembly scene physical model and optimizing boundary conditions;

s904, importing the sanitary ware assembly scene physical model, rendering by using 3DsMax, performing rendering optimization on the edge of the sanitary ware assembly scene physical model, and outputting a rendering model;

s905, driving a graphic rendering engine to render and draw the rendering model by using a calculation result of a three-dimensional physical engine;

s906, analyzing physical mechanical movement, production and control of the ceramic assembly scene, and solving the relation between the production efficiency and the movement state variable;

s907, constructing a visual simulation production process by combining a panoramic view in the sanitary ware assembly scene physical model by utilizing the relation between the production efficiency and the motion state variable;

and S908, optimizing and verifying the simulation production process, outputting the simulation model if the optimization iteration condition is met, and otherwise, continuing to iterate until the iteration optimization condition is met.

In the embodiment of the invention, the physical space production working surface implementing the intelligent assembly scene oriented digital twin evolution mechanism and method realizes mutual mapping and information interaction with the virtual space production working surface through digital twin. Among them, embodiment digital twinning includes object twinning, process twinning, and performance twinning. The digital twin model is integrated by a physical model, a logic model, a data model and simulation production evolution, and object twinning, process twinning and performance twinning between a physical entity and the digital twin are realized in a data driving mode. Based on an assembly intelligent monitoring system design theory and a data model, bidirectional mapping and real-time interaction are realized at an object element level, a production process level and an equipment performance level through a physical assembly working surface and a virtual digital twin assembly working surface, and object twinning, process twinning and performance twinning are realized. According to the embodiment, real-time updating and synchronization of data are carried out according to the twin database of the production assembly working face, historical data and real-time equipment operation data, and full-element, full-flow and full-data integration and fusion of twin data of the physical unmanned working face and the virtual unmanned working face are achieved. Under the drive of twin data, the embodiment realizes the production element management, the production process pre-simulation and the equipment performance real-time monitoring of the assembly working face through the iterative operation of a physical space assembly working face, a virtual space assembly working face, an assembly working face digital twin model and the twin data, thereby realizing the remote control and the intelligent monitoring of the assembly working face production system under a virtual digital twin scene.

Confidence(A＝>B)＝P(B|A)＝(COUNT(A∪B))/(COUNT(A))

In the embodiment of the invention, the hidden connection relation between given data, especially the closeness degree between data can be found through the calculation formula, so that whether the accuracy of the model reflects the original physical model or not is confirmed.

According to a third aspect of embodiments of the present invention, there is provided a computer-readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the method according to any one of the first aspect of embodiments of the present invention.

According to a fourth aspect of the embodiments of the present invention, there is provided an electronic apparatus. Fig. 10 is a block diagram of an electronic device in one embodiment of the invention. The electronic device shown in fig. 10 is a general-purpose satellite product assembly production management apparatus, which includes a general-purpose computer hardware structure including at least a processor 1001 and a memory 1002. The processor 1001 and the memory 1002 are connected by a bus 1003. The memory 1002 is adapted to store instructions or programs executable by the processor 1001. Processor 1001 may be a stand-alone microprocessor or may be a collection of one or more microprocessors. Thus, the processor 1001 implements the processing of data and the control of other devices by executing instructions stored by the memory 1002 to perform the method flows of embodiments of the present invention as described above. The bus 1003 connects the above components together, and also connects the above components to a display controller 1004 and a display device and an input/output (I/O) device 1005. Input/output (I/O) devices 1005 may be a mouse, keyboard, modem, network interface, touch input device, motion sensing input device, printer, and other devices known in the art. Typically, input/output devices 1005 are connected to the system through an input/output (I/O) controller 1006.

As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims

1. A sanitary ware product assembly production management system based on digital twinning is characterized by comprising: a physical space subsystem, a virtual space subsystem and a digital twin model;

2. The system for assembling and producing a pottery product based on digital twin as claimed in claim 1, wherein there is an information physical mapping relationship between the physical space subsystem and the virtual space subsystem, specifically comprising:

3. The system for assembling and managing pottery products based on digital twinning as claimed in claim 1, wherein said digital twinning model specifically comprises: a sensing layer, a network layer, a data layer and a presentation layer;

4. The system for assembling and producing a digital twin-based sanitary ware product as claimed in claim 1, wherein said virtual space subsystem specifically comprises: the system comprises a sanitary ware assembly equipment physical model, a sanitary ware equipment virtual state, a virtual scene production process module, a performance module, an equipment process optimization module and an equipment health prediction module;

5. A sanitary ware product assembly production management method based on digital twinning is characterized by comprising the following steps:

6. The method for assembling, producing and managing the pottery products based on the digital twin as claimed in claim 5, further comprising a data transfer method, wherein the data transfer method specifically comprises:

7. The digital twin-based sanitary ware product assembly production management method as claimed in claim 5, further comprising a production construction process method, wherein the production construction process method specifically comprises:

8. The method for managing the assembly production of digital twin-based sanitary ware products as claimed in claim 5, wherein the confidence level verification formula is as follows:

Confidence(A＝>B)＝P(B|A)＝(COUNT(A∪B))/(COUNT(A))

9. A computer-readable storage medium on which computer program instructions are stored, which computer program instructions, when executed by a processor, implement the method of any one of claims 5-8.

10. An electronic device comprising a memory and a processor, wherein the memory is configured to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the steps of any of claims 5-8.