Introduction
At present, many manufacturing enterprises have a high degree of automation and informationization, but in the production management process is still faced with production links can not be seen, on-site management is difficult, the production schedule can not be adjusted in real time, the lack of equipment lifecycle management, the system data silos and many other problems can not be solved, resulting in the production efficiency of enterprises can not be further improved.
For this reason, many industrial manufacturing industries based on their own factory production logic, process flow, began to widely apply digital twin technology in the actual production, in order to achieve the purpose of cost reduction and efficiency.
Digital Twin Factory Solution
Digital twin factory uses digital twin technology to model and simulate the factory, realize real-time monitoring and analysis of the production process, optimize the production process, improve production efficiency and product quality. Based on intelligent scheduling control, it improves production planning and response speed; through data mining and analysis, it visualizes factory operation data and supports data-driven decision-making; it makes the production process transparent and realizes integrated factory control.
Based on the manufacturing pain points of enterprises, through the six elements of factory production management (man, machine, material, method, environment and measurement), docking information technology system, presenting the six elements in conjunction with the model, and realizing the transparency of the factory production management process.
Personnel Twin Reproduction
The digital twin factory realizes precise positioning of personnel by deploying UWB positioning equipment, creating an integrated control platform that is searchable, visible, preventable and controllable, realizing real-time positioning of personnel, historical track records, electronic fence, video linkage, alarm management, behavior analysis and other functions, helping enterprises realize precise control of personnel, improve management efficiency, grasp real-time personnel dynamics, and carry out command and scheduling of personnel in a timely manner.
Device Twin Replication
▲Real-time view of equipment status
Digital twin factory through the virtual reproduction of on-site equipment, real-time management of equipment and equipment alarms can be accurately located to help maintenance personnel accurate maintenance, but also to present the historical trajectory of the equipment, so as to achieve accurate control and optimization of the operation of on-site equipment. Its functional features are mainly:
Material twin reproduction
Access to WMS, MES and other platforms, the real mapping of the edge of the library materials and inventory materials, to help decision makers real-time scheduling of materials and management of on-site materials.
At the same time, the production line products with the process of material status changes, the twin system will be presented in real time to help decision makers understand the processing elements of each process.
In addition, the digital twin factory will restore the material information on the AGV carts to help decision makers understand the flow of materials on site, and fully control the site.
Process Twin Reproduction
▲Process Management
The digital twin factory can help enterprises realize process threshold control, standard operation guidance, process abnormality statistics Kanban, quality defect analysis. By importing standardized operation instructions, the digital twin factory can understand the changes of on-site operation instructions in real time, and it can also understand the real-time parameter information of the site through the presentation panel of process parameters, so as to carry out real-time beat statistics.
Environment Twin Reproduction
The digital twin factory monitors all kinds of waste values and environmental values by collecting relevant data from various sensors in the factory, and the whole process monitoring is combined with the enterprise asset data file to detect environmental indicators. At the same time, we analyze the data to study the weak environmental links, so as to provide data support for green development decision-making. In addition, we have developed auxiliary functions such as dynamic monitoring of environmental data, reverse control systems and weather change systems to help companies manage the environment more effectively.
Intelligent Environmental Management
Real-time detection of various types of environmental indicators in the plant and visual presentation of data analysis for ecological environment management.
Pollution Traceability
Establish enterprise pollution whole process monitoring and indicator dynamic analysis, and conduct indicator control at any time.
Green Development Assessment
Through data analysis within the basic support platform, provide information support for control and governance, and conduct process tracking and result assessment.
Quality Twin Reproduction
▲Combine with production site comprehensive presentation
Combine the quality data with 3D model, through charts and other forms of display, the quality defect warning card, quality problem list, quality requirements and other related data is presented, so that the twin quality and field quality combined management, improve the transparency of the site.
Fulima Cloud
The digital twin factory takes Fulima Cloud Platform as the technical base, and creates a unique system architecture of 3 sub-platforms (IoT platform, data governance platform, algorithm service platform) + 4 systems (data, model, simulation, application), which solidifies the foundation of factory digitization, intelligence, informatization, and futurization.
Fulima cloud platform is a service-oriented manufacturing demonstration platform recognized by the Ministry of Industry and Information Technology of the State, is committed to the digital technology, effectively help enterprises based on manufacturing, integrated into the service, improve enterprise manufacturing efficiency and product service capabilities, reshape the manufacturing value chain, and promote the transformation of manufacturing enterprises to service-oriented manufacturing.
The platform includes J3D digital twin development platform, RBI business intelligence development platform, model intelligence lightweight platform and application low-code development platform, supporting Web digital twin, digital decision-making application online development. At the same time, the platform builds an open industrial Internet technology service system, covering a series of products and technology solutions such as Internet of Things, data platform, digital twin application development, algorithm services, etc., to create an industrial Internet industrial ecology with abundant resources, information sharing and win-win cooperation, and to help enterprises in the digital transformation and upgrading of the whole value chain from the three dimensions of digital marketing, digital production, and digital management and control.
