Process intelligent manufacturing

- Jun 21, 2019-


  1. The overall design, process flow and layout of the factory have established digital models and simulated simulation to realize production process data visualization and production process optimization.


2. Realize the whole process monitoring of logistics, energy flow, physical property and assets, establish a data acquisition and monitoring system, and the automatic data recovery rate of production process data reaches over 90%.

Realize the collection and integration of raw materials, key processes and finished product inspection data, and establish real-time quality warning.


3, using advanced control system, the factory self-control investment rate reached more than 90%, the key production links to achieve advanced model-based control and online optimization.


4. Establish production execution system (MES), establish models for production planning and scheduling, realize production model analysis and decision making, process quantitative management, cost and quality dynamic tracking, and integrated collaborative optimization from raw materials to finished products.

Establish an Enterprise Resource Planning (ERP) system to achieve intelligent optimization of business operations, management, and decision making.


5. For projects with high safety and environmental risks, realize automatic detection and monitoring of toxic and hazardous substances and dangerous sources, and comprehensive monitoring of safety production, and establish an online emergency command linkage system.


6. Establish a factory communication network architecture to achieve process, manufacturing, inspection, logistics and other manufacturing processes, and between manufacturing processes and data acquisition and monitoring systems, production execution systems (MES), and enterprise resource planning systems (ERP). Information interconnection.


7. It has an industrial information security management system and technical protection system, and has the ability of information security for network protection and emergency response. A functional safety protection system is built, which uses a full life cycle method to effectively avoid system failure.


Through continuous improvement, the production process is dynamically optimized, and the entire process of manufacturing and management information is visualized. The intelligent level of resources in resource allocation, process optimization, process control, industrial chain management, energy saving and emission reduction and safety production is significantly improved.