2. The General Framework of the RFID Based Manufacturing Process of Cloud MES
- Equipment control layer: The equipment in this layer is mainly based on the processing machine tool (or enterprise workshop), and the machine tool (or enterprise workshop) under the cloud MES system being virtualized and abstracted as a node, and as a basic manufacturing unit. Each manufacturing unit needs to be configured with RFID to match the corresponding RFID tags, providing hardware support for real-time tracking and monitoring functions in the cloud MES system.
- IoT layer: This layer mainly realizes the interconnection of devices between manufacturing units composed of various processing machine tools (or enterprise workshops). The main hardware devices include sensors, industrial Ethernet, fieldbus, switches and wireless network systems.
- Cloud MES layer: This layer integrates cloud storage, big data technology and an MES system, and is responsible for processing and feeding back the data indexes of the underlying devices uploaded through the IoT layer to realize the cloud-based, virtualized and intelligent management of the manufacturing process by the MES system. It mainly includes a cloud database, a cloud server and a big data processing system module. The cloud database is the integration of the MES database with other databases (such as ERP: Enterprise Resource Planning, SCM: Supply Chain Management, etc.). The cloud server is mainly laid on the public cloud, provided by third-party cloud providers (such as Amazon’s AWS, Microsoft’s Azure, and the domestic Alibaba Cloud, etc.), The big data processing system module is developed for the specific manufacturing process or as directed by a third-party vendor.
- User layer: This layer mainly realizes the real-time dynamic display for the tracking and monitoring of the manufacturing process by the cloud MES layer. Under any circumstances, the user can keep track of the real-time dynamic of current manufacturing processes by using various methods (such as a web browser, application software client, AR (Augmented Reality), VR (Virtual Reality) intelligent display device, etc.).
3. RFID Tracking Configuration and Cloud Processing for Manufacturing Process
3.1. Process Division of the Production Process
3.2. RFID Tracking Configuration Based on Process Division
3.3. Cloud MES Processing Based on RFID Configuration
4. Other Key Technologies
4.1. Network Automation Configuration
4.2. Cloud MES Monitoring Management
5. Case Analysis
5.1. Photovoltaic Slicing Production Case
5.2. Clothing Outsourcing Processing Case
- The data collection method based on RFID technology was convenient and fast, reduced manpower, saved time, improved data accuracy, and helped to automate the manufacturing process. At the same time, in view of the different enterprise production which requires corresponding RFID tracking configuration, it helped to achieve refinement of the management of the whole manufacturing process.
- Under the control of the cloud MES system, the introduction of key technologies based on cloud storage and big data processing, and data mining for RFID real-time data streams, the proposed system can find key data, and provide dynamic information for real-time decision-making to solve production problems and help to make the manufacturing process intelligent.
- The combination of the community model and the cloud MES system enables collaborative interactions, collaborative production and coordinated management and control among the cooperative enterprises, which contributes to the synergy of the manufacturing process.
7. Conclusions and Future Work
Conflicts of Interest
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