CN111580478A - Complex electronic equipment final assembly digital twin workshop - Google Patents

Abstract

The invention provides a construction method of a complex electronic equipment assembly digital twin workshop based on the characteristics of complex electronic equipment assembly, aims to increase the flexibility of a production line and improve the efficiency of the production line, and solves the problems of low production efficiency, poor resource allocation, high error rework rate, unstable quality, incapability of effectively meeting the requirement of a rapid production period and low one-time assembly power in the complex electronic equipment assembly.

Description

A digital twin workshop for the final assembly of complex electronic equipment

technical field

The invention belongs to the technical field of intelligent manufacturing, and in particular relates to a digital twin technology.

Background technique

The final assembly of complex electronic equipment has the characteristics of manual discrete operations, strict quality requirements, small production batches, large labor input, and long cycle times. Single-piece and small-batch production, there are factors such as a high incidence of design changes, unstable product quality by manual operations, and uncoordinated production resources. Therefore, the quality of the final assembly of complex electronic equipment is uncertain and needs to be solved urgently.

The technical characteristics of the final assembly of complex electronic equipment put forward high requirements for the synergy of the production process, the flexibility of the production plan, and the controllability of the production link. Once a major error occurs, the cost is extremely expensive.

Digital twin technology refers to the use of digital technology to describe and model a process or method that is consistent with the characteristics, behavior and performance of physical entities. It is an effective way to realize the interaction and integration of physical space and information space.

SUMMARY OF THE INVENTION

In order to solve the problems existing in the prior art, the present invention proposes a digital twin workshop for electronic equipment. In order to achieve the above purpose, the present invention adopts the following technical solutions.

The twin workshop includes four parts: complex electronic equipment assembly physical workshop, complex electronic equipment assembly virtual workshop, complex electronic equipment assembly workshop information fusion system, and complex electronic equipment assembly workshop intelligent operation platform.

The physical workshop for the final assembly of complex electronic equipment, and the establishment of a physical workshop intelligent perception system with highly integrated information, from the four dimensions of human, machine, object, and environment, intelligently perceive the required information in the physical environment, and realize the full physical level in the information center. Elements are interconnected.

The virtual workshop for the final assembly of complex electronic equipment models the human, machine, object and environment of the physical workshop from the four dimensions of geometry, physics, behavior and rules, and associates, combines and integrates the models to build a virtual workshop from the physical workshop to the virtual workshop. Height map.

The complex electronic equipment assembly workshop information fusion system compares, cleans, clusters, iterates, and corrects the data collected in real time from the physical workshop and the model data and simulation data of the virtual workshop on the basis of the height mapping of the physical workshop and the virtual workshop. , integration, realize the interaction between physical space and virtual space, intelligent operation platform, and truly describe the operation status and characteristics of the workshop.

The intelligent operation platform for the assembly workshop of complex electronic equipment, combined with information systems such as MES execution manufacturing system, artificial intelligence, big data and other means, provides production scheduling, collaborative processes, quality control, and risk prediction required in the process of workshop production and operation. and other services to realize intelligent assisted decision-making or intelligent decision-making.

Further, the key to the construction of a digital twin physical workshop is to build an on-site data acquisition system that comprehensively covers the complex electronic equipment assembly workshop environment, manufacturing equipment, and production process.

First, analyze the data that needs to be collected on site; then, combine the manufacturing resources, product information and related information systems involved in the assembly of complex electronic equipment to establish the objects to be collected, and determine the collection method based on the establishment of the collection model, such as Sensors, two-dimensional codes, equipment networking, human-computer interaction, etc.; finally, build a big data acquisition physical network, optimize the topology structure, and use a unified and efficient data exchange protocol and data interface through the Industrial Internet of Things to realize the final assembly site of complex electronic equipment Real-time, accurate and reliable collection and transmission of multi-source heterogeneous data.

The assembly and manufacturing system of complex electronic equipment is a dynamic system with constantly generating and changing information, and its assembly site data has the characteristics of multi-source, real-time, massive and heterogeneous.

Field data acquisition system includes product data acquisition system, equipment data acquisition system, and production process data acquisition system.

Product data, including product basic data and status data, etc.; equipment data, including equipment basic data, status data, operation data, etc.; production process data, including personnel data, material data, quality data, task data, environmental data, and production exceptions information, etc.

Further, as the digital twin model of the physical workshop, the virtual workshop needs to build a unified structure of all elements in the physical workshop, and combine the data generated by the entity to build a twin model in the digital space.

In the final assembly production process, the key elements that affect production include people, machines, objects, and the environment, that is, people, equipment, materials, products, and environments in the production process. The digital twin model is expressed in a unified manner.

DT _workshop = DT _equipment ∪ DT _product ∪ DT _{production process}

DT _{production process} = DT _{personnel∪DT materials∪} …∪DT _environment

The DT _workshop is the workshop digital twin model, that is, the virtual workshop, the DT _equipment is the final assembly workshop equipment digital twin model, the DT _product is the product digital twin model, the DT _{production process} is the production process digital twin model, the DT _personnel is the personnel digital twin model, DT _{The material} is the material digital twin model, and the DT _environment is the environment digital twin model.

Human twins in the production process update data in real-time in terms of actions and locations.

The equipment in the assembly workshop is the operation equipment with functions such as processing, transportation and storage, including industrial robots, machine tools, cranes, etc. The models are consistent with the physical space in the dimensions of geometry, physics, behavior, and rules, and there is virtual communication between the twin models. Establish a virtual-real communication control interface with the physical space.

Products and materials correspond to different states in different assembly process stages. Along with status information such as codes and orders, physical labels are stored in the product labels in the virtual space through the data interface, and the status of products or materials changes in the virtual space.

The environmental information is perceived through the data acquisition system and added to the virtual space to display quantitative information.

Further, the information fusion system includes product information fusion, equipment information fusion, personnel information fusion, system information fusion, and environmental information fusion to realize real-time mutual mapping of digital twin virtual workshops and physical workshops.

Product information fusion, real-time data exchange of relevant information such as time, station, process, quality, geometric dimensions, etc., for the whole process of products from parts delivery to finished product warehousing.

Equipment information fusion, real-time mapping of the spatiotemporal position and running status of various equipment such as robots, machine tools, and cranes in the production line.

Personnel information fusion, real-time mapping of personnel's spatiotemporal position, identity, action and other information.

System information fusion, real-time mapping of production plan progress and changes, job plan progress, process progress, inventory status and other related information.

Environmental information fusion, real-time mapping of environmental temperature, humidity, production process-related, personnel activities and other information.

Further, the intelligent operation platform includes three parts: a digital twin-based data display system, a manufacturing execution management system, and a visual production decision-making system.

Data perception display system, based on data acquisition system and information fusion system, uses QR codes, sensors and other means to perceive various information such as physical workshop equipment, personnel, materials, etc., realize real-time data interaction, and transfer interactive information in real time. displayed on the visualization platform.

Manufacturing execution management system, including production twinning, planning and scheduling, production execution, quality management, material management and other modules, real-time mapping of virtual workshop and physical workshop, simulation operation, real-time monitoring and prediction of the final assembly production process, planning, simulation, and verification of production lines ability.

Visual production decision-making system, including data conversion import scene rendering module and UI editing module, monitor and predict workshop operation status, manage workshop operation process, and realize visualization.

The invention constructs a physical workshop and a virtual workshop, realizes real-time interaction of information between the two, online control, offline traceability of production status, provides a method for the construction of complex electronic equipment assembly workshop, and perceives and analyzes data in physical space and virtual space in real time. , predict risks, reduce costs, reduce quality instability, error rework rate, improve resource utilization, production efficiency and the success rate of one-time assembly in the assembly workshop.

Description of drawings

Figure 1 is the architecture of the complex electronic assembly digital twin workshop, and Figure 2 is the architecture of the complex electronic assembly site data acquisition system.

Detailed ways

The technical solutions of the present invention will be described in detail below with reference to the accompanying drawings.

The composition of the twin workshop is shown in Figure 1, including four parts: the physical workshop of complex electronic equipment assembly, the virtual workshop of complex electronic equipment assembly, the information fusion system of complex electronic equipment assembly workshop, and the intelligent operation platform of complex electronic equipment assembly workshop.

The physical workshop for the final assembly of complex electronic equipment, and the establishment of a physical workshop intelligent perception system with highly integrated information, from the four dimensions of human, machine, object, and environment, intelligently perceive the required information in the physical environment, and realize the full physical level in the information center. Elements are interconnected.

The key to the construction of a digital twin physical workshop is to build an on-site data acquisition system that comprehensively covers the complex electronic equipment assembly workshop environment, manufacturing equipment, and production process.

First, analyze the data that needs to be collected on site; then, combine the manufacturing resources, product information and related information systems involved in the assembly of complex electronic equipment to establish the objects to be collected, and determine the collection method based on the establishment of the collection model, such as Sensors, two-dimensional codes, equipment networking, human-computer interaction, etc.; finally, build a big data acquisition physical network, optimize the topology structure, and use a unified and efficient data exchange protocol and data interface through the Industrial Internet of Things to realize the final assembly site of complex electronic equipment Real-time, accurate and reliable collection and transmission of multi-source heterogeneous data.

The assembly and manufacturing system of complex electronic equipment is a dynamic system with constantly generating and changing information, and its assembly site data has the characteristics of multi-source, real-time, massive and heterogeneous.

The field data acquisition system is shown in Figure 2, including product data acquisition system, equipment data acquisition system, and production process data acquisition system.

Product data, including product basic data and status data, etc.; equipment data, including equipment basic data, status data, operation data, etc.; production process data, including personnel data, material data, quality data, task data, environmental data, and production exceptions information, etc.

The virtual workshop for the final assembly of complex electronic equipment models the human, machine, object and environment of the physical workshop from the four dimensions of geometry, physics, behavior and rules, and associates, combines and integrates the models to build a virtual workshop from the physical workshop to the virtual workshop. Height map.

As the digital twin model of the physical workshop, the virtual workshop needs to build a unified structure of all elements in the physical workshop, and combine the data generated by the entity to build a twin model in the digital space.

In the final assembly production process, the key elements that affect production include people, machines, objects, and the environment, that is, people, equipment, materials, products, and environments in the production process. The digital twin model is expressed in a unified manner.

DT _workshop = DT _equipment ∪ DT _product ∪ DT _{production process}

DT _{production process} = DT _{personnel∪DT materials∪} …∪DT _environment

The DT _workshop is the workshop digital twin model, that is, the virtual workshop, the DT _equipment is the final assembly workshop equipment digital twin model, the DT _product is the product digital twin model, the DT _{production process} is the production process digital twin model, the DT _personnel is the personnel digital twin model, DT _{The material} is the material digital twin model, and the DT _environment is the environment digital twin model.

Human twins in the production process update data in real-time in terms of actions and locations.

The equipment in the assembly workshop is the operation equipment with functions such as processing, transportation and storage, including industrial robots, machine tools, cranes, etc. The models are consistent with the physical space in the dimensions of geometry, physics, behavior, and rules, and there is virtual communication between the twin models. Establish a virtual-real communication control interface with the physical space.

Products and materials correspond to different states in different assembly process stages. Along with status information such as codes and orders, physical labels are stored in the product labels in the virtual space through the data interface, and the status of products or materials changes in the virtual space.

The environmental information is perceived through the data acquisition system and added to the virtual space to display quantitative information.

The complex electronic equipment assembly workshop information fusion system compares, cleans, clusters, iterates, and corrects the data collected in real time from the physical workshop and the model data and simulation data of the virtual workshop on the basis of the height mapping of the physical workshop and the virtual workshop. , integration, realize the interaction between physical space and virtual space, intelligent operation platform, and truly describe the operation status and characteristics of the workshop.

The information fusion system includes product information fusion, equipment information fusion, personnel information fusion, system information fusion, and environmental information fusion to realize real-time mutual mapping of digital twin virtual workshops and physical workshops.

Product information fusion, real-time data exchange of relevant information such as time, station, process, quality, geometric dimensions, etc., for the whole process of products from parts delivery to finished product warehousing.

Equipment information fusion, real-time mapping of the spatiotemporal position and running status of various equipment such as robots, machine tools, and cranes in the production line.

Personnel information fusion, real-time mapping of personnel's spatiotemporal position, identity, action and other information.

System information fusion, real-time mapping of production plan progress and changes, job plan progress, process progress, inventory status and other related information.

Environmental information fusion, real-time mapping of environmental temperature, humidity, production process-related, personnel activities and other information.

The intelligent operation platform for the assembly workshop of complex electronic equipment, combined with information systems such as MES execution manufacturing system, artificial intelligence, big data and other means, provides production scheduling, collaborative processes, quality control, and risk prediction required in the process of workshop production and operation. and other services to realize intelligent assisted decision-making or intelligent decision-making.

The intelligent operation platform includes three parts: a digital twin-based data display system, a manufacturing execution management system, and a visual production decision-making system.

Data perception display system, based on data acquisition system and information fusion system, uses QR codes, sensors and other means to perceive various information such as physical workshop equipment, personnel, materials, etc., realize real-time data interaction, and transfer interactive information in real time. displayed on the visualization platform.

Manufacturing execution management system, including production twinning, planning and scheduling, production execution, quality management, material management and other modules, real-time mapping of virtual workshop and physical workshop, simulation operation, real-time monitoring and prediction of the final assembly production process, planning, simulation, and verification of production lines ability.

Visual production decision-making system, including data conversion import scene rendering module and UI editing module, monitor and predict workshop operation status, manage workshop operation process, and realize visualization.

The above-mentioned embodiments of the present invention do not limit the present invention, and any modifications, equivalent replacements and improvements made within the spirit and principle of the present invention are all included within the protection scope of the present invention.

Claims (7)

1. A complex electronic equipment assembly digital twin workshop is characterized in that, comprising: a complex electronic equipment assembly physical workshop, from four dimensions of human, machine, material, and environment, perceives information under the physical environment, and realizes the physical level in the information center. full-element interconnection; complex electronic equipment final assembly virtual workshop, from the four dimensions of geometry, physics, behavior, and rules, modeling of people, machines, objects, and environment in the physical workshop, associating, combining, and integrating various models, constructing a physical workshop from the four dimensions. Height mapping to the virtual workshop; complex electronic equipment assembly workshop information fusion system, on the basis of the height mapping between the physical workshop and the virtual workshop, compares and cleans the data collected in real time in the physical workshop with the model data and simulation data of the virtual workshop , clustering, iteration, correction, and integration, to realize the interaction between physical space and virtual space, and intelligent operation platform, to describe the operation status and characteristics of workshop; intelligent operation platform of complex electronic equipment assembly workshop, combined with information system, artificial intelligence, big data technology, Provide the production scheduling, collaborative process, quality control, and risk prediction services required during the production and operation of the workshop, and realize intelligent auxiliary decision-making or intelligent decision-making. 2. The complex electronic equipment final assembly digital twin workshop according to claim 1, wherein the complex electronic equipment final assembly physical workshop comprises: an on-site data acquisition system that comprehensively covers the complex electronic equipment final assembly workshop environment, production and manufacturing equipment , the production process, analyze the data that needs to be collected on site, combine the manufacturing resources, product information and related information systems involved in the assembly of complex electronic equipment, establish the objects to be collected, and determine the collection method on the basis of the establishment of the collection model. Big data acquisition physical network, optimized topology structure, through the Industrial Internet of Things, using unified and efficient data exchange protocols and data interfaces, to achieve real-time, accurate and reliable collection and transmission of multi-source heterogeneous data on complex electronic equipment assembly sites. 3. The complex electronic equipment assembly digital twin workshop according to claim 2, wherein the on-site data collection system comprises: a product data collection system, an equipment data collection system, and a production process data collection system; product data, including : Product basic data and status data; equipment data, including: equipment basic data, status data, operation data; production process data, including: personnel data, material data, quality data, task data, environmental data, production exception information. 4. The complex electronic equipment assembly digital twin workshop according to claim 1, wherein the complex electronic equipment assembly virtual workshop comprises: a unified expression of the digital twin model DT _workshop = DT _equipment ∪ DT _product ∪ DT _{production process} DT _{production process} = DT _{personnel∪DT materials∪} …∪DT _environment , in which DT _workshop is the digital twin model of the workshop, that is, the virtual workshop, DT _equipment is the digital twin model of the final assembly workshop equipment, and DT _products are the product digital twin model. DT _{production process} is the digital twin model of production process, DT _personnel is the digital twin model of personnel, DT _material is the digital twin model of material, and DT _environment is the digital twin model of environment, which will affect the key elements of production, including human, machine, material, and environment. That is, people, equipment, materials, products, and environments in the production process build a unified structure for all elements in the physical workshop, and combine the data generated by the entity to build a twin model in the digital space. 5. The complex electronic equipment assembly digital twin workshop according to claim 4, wherein the person comprises: Personnel twins in the production process update data in real time in terms of actions and positions; the machines, including: equipment twins in the assembly workshop, generate working equipment with processing, transportation, and storage functions, including industrial robots, machine tools, and cranes The model is consistent with the physical space in the dimensions of geometry, physics, behavior, and rules, establishes virtual communication between the twin models, and establishes a virtual-real communication control interface with the physical space; the objects, including product and material twins, are in different The assembly process stage corresponds to different states. Along with the code and order status information, the physical label is stored in the product label in the virtual space through the data interface, and the product or material state changes in the virtual space; the environment includes: environmental information Twins, perceived through a data acquisition system, are added to the virtual space to quantify information display. 6. The complex electronic equipment assembly digital twin workshop according to claim 1, wherein the complex electronic equipment assembly workshop information fusion system realizes the real-time mutual mapping of the digital twin virtual workshop and the physical workshop, comprising: Product information fusion, the whole process of products from parts delivery to finished product storage, including real-time data exchange of information related to time, station, process, quality, and geometric dimensions; equipment information fusion, the integration of robots, machine tools, and crane equipment in the production line real-time mapping of the spatiotemporal position and operating status of the personnel information fusion, real-time mapping of the spatiotemporal position, identity, and action information of the personnel; system information fusion, real-time mapping of the production plan progress and changes, job plan progress, process progress, and inventory status related information ;Environmental information fusion, real-time mapping of environmental temperature, humidity, production process-related, personnel activities and other information. 7. The complex electronic equipment assembly digital twin workshop according to claim 1, wherein the complex electronic equipment assembly workshop intelligent operation platform comprises: a data perception display system, based on a data acquisition system and an information fusion system, using two Dimension code and sensor means, perceive physical workshop equipment, personnel, material information, real-time data interaction, and display interactive information on the visualization platform; manufacturing execution management system, including production twinning, planning and scheduling, production execution, quality management, material management modules, Real-time mapping of virtual workshop and physical workshop, simulation operation, real-time monitoring and prediction of final assembly production process, planning, simulation and verification of production line capabilities; visual production decision-making system, including data conversion import scene rendering module and UI editing module, monitoring and prediction workshop Operation status, manage workshop operation process, and realize visualization.

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