How do manufacturing companies build digital workshops?

Through the deep integration of information technology and manufacturing, intelligent production lines will become the standard of future factories, helping enterprises to improve production efficiency, reduce costs, improve product quality, and promote the transformation and upgrading of enterprises to intelligent manufacturing and high-end manufacturing. In the era of smart manufacturing, enterprises need to keep up with the technology development trend, actively promote the integration of industrial Internet and smart factory, and continuously improve the level of digitalization and intelligence to maintain competitiveness and achieve sustainable development.

System Framework Composition

①Business Guide: Embodying Industrial Internet industry goals, business value, digitalization capabilities and business scenarios.

②Functional framework: clearly support the realization of business functions including basic elements, functional modules, interaction and scope of action.

③Implementation framework: describes the hardware and software deployment to realize the function, and specifies the hierarchical structure, bearing structure, key hardware and software and role relationship of system implementation.

④Technology framework: converge the hardware and software technology needed to support the business, function and implementation of industrial Internet.

Industrial Internet platform architecture is a kind of fusion application based on Internet technology and industrial field, aiming at realizing efficient integration, cooperative operation and optimized management of industrial production, equipment, resources and information through digitalization, intelligence and Internetization.

①Equipment Layer

Mainly for the various equipments and systems involved in the production and operation of smart factories, including CNC, AGV, six-axis robots, polishing equipments, weighing equipments, logistic lines, stand-up libraries, laser engraving and other production equipments, as well as sensors, I&C systems, SCADA systems (Supervision, Control, and Data Acquisition Systems), PLC (Programmable Logic Controllers), etc. ), etc. The equipment layer is the foundation of the industrial Internet platform, responsible for collecting, transmitting and processing real-time production data and equipment status information.

②Edge Layer

Located at the production site or a layer closer to the equipment, it is used to process real-time data, realize local decision-making and executive control, and provide edge computing capability. The edge layer can be regarded as part of the device layer and is responsible for data processing, computation and control on the device side, reducing the dependence on the cloud, thus reducing data transmission latency, improving data processing efficiency and supporting real-time production monitoring, intelligent diagnosis and predictive analytics and other applications.

3) Infrastructure Layer

It is the underlying infrastructure that supports the operation of the entire platform, including servers, storage devices, network resources, virtualization and cloud computing. The infrastructure layer provides the physical and logical foundation to support the operation of the industrial Internet platform, and provides the operating environment and support for the upper platform layer and application layer.

④Platform Layer

As the core of the industrial Internet platform, it provides rich functions and services to support various application scenarios and business requirements, including big data management platform, equipment management platform, Internet application platform and integration application platform, etc. It provides rich resources and tools for the upper application layer to realize the goal of intelligent manufacturing and digital transformation.

⑤Application Layer

As the top layer in the architecture of the industrial Internet platform, it is the layer that directly faces the users, and is responsible for providing all kinds of applications and solutions, which mainly include applications for order management, equipment management, production line management, offsite collaborative management, equipment health supervision, and digital twins, to satisfy the specific business needs of the enterprises in the areas of production, manufacturing, logistics, and quality management.

The integration of smart factory and industrial internet realizes the interconnection of equipment, production line and the whole production process, realizes data-driven production optimization, intelligent production decision-making, intelligent management of equipment and production line, supports digital supply chain management and promotes the construction of smart factory ecosystems, so as to improve the production efficiency, quality and flexibility, and to promote the manufacturing industry to a smarter, more efficient and sustainable direction.

Creating a lightweight smart factory management system. With the help of advanced technologies such as sensors, Internet of Things, big data and cloud computing, the data, information and status of the factory distribution and each production process are presented in real time on the large visualization screen, realizing real-time monitoring and analysis of the production data, allowing enterprise managers to have a better understanding of the production situation, thus improving production efficiency and quality, reducing production costs and energy consumption, and promoting the sustainable development of the enterprise.

In addition, using Web 3D technology, the industrial Internet platform architecture of the smart factory and the eco-platform architecture of the whole life cycle are constructed in a three-dimensional visualization, which can be more intuitive, comprehensive, more effective, more interactive, and express the spatial relationships and interactions between different objects better than the traditional two-dimensional flat map. The scene adopts a network distribution mode, distributing factories in multiple cities, combined with the 3D map, forming the construction of a complete map of enterprise distribution. The production situation of each factory can be visualized by clicking on the interactive events. Through the Internet technology and logistics distribution and other forms of production process optimization, to achieve the goal of reducing costs and improving efficiency.

At the same time, by integrating the factory's production data and operation data, using charts, tables, dashboards and other forms, the factory's warehouse total position, quality inspection results, production line conditions, order quantity and other key data indicators, in a visual way to help managers and production personnel quickly grasp the factory's real-time production status and operation. This allows for fine-grained management and real-time intervention in the production process, as well as optimized production planning and real-time scheduling of resources.

This scenario uses 3D modeling and virtual simulation technology to digitally model the actual production line's equipment, processes, and workflows to create a digital twin model of the production line. Through the sensors and monitoring equipment installed on the production line, real-time collection of production line operation data, including equipment status, process parameters, product quality and other information. The real-time collected production line data is transmitted to the digital twin model, and the use of big data processing and analysis technology allows real-time monitoring and data analysis of the production line's operating conditions, which facilitates real-time decision-making and scheduling by production managers.

Process View

Multi-dimensional dynamic display of the production process of the smart factory, allowing users to more intuitively understand each process, each step of the production process, as well as the correlation and dependence between the processes, Hightopo?2D, 3D graphic rendering engine outlines the accurate data model. It also supports integration with other information systems (e.g., ERP, MES, etc.) to achieve digital management and intelligent control of the production process, and efficient, accurate, and flexible management of the production process.

Energy Efficiency View

Based on real-time data acquisition and processing technology, energy consumption data and production efficiency indicators are presented in a visualized manner (red - high energy-efficiency equipment, blue - low-energy-efficiency equipment), which helps companies to visualize the energy-efficiency conversion of various equipment.

With the continuous progress of science and technology and the promotion of digital transformation, the era of intelligent manufacturing has arrived. The integration of industrial internet and smart factory brings unprecedented opportunities and challenges for enterprises.