A typical scenario created by extracting key requirements in the factory production process and integrating elements such as technology, equipment, processes and software.
By applying technologies such as cloud computing, big data, and blockchain, we realize the effective governance, analysis and utilization of internal enterprise data, and promote the secure circulation of data.
We optimize manufacturing resource allocation through networked collaboration, enhance human-machine interaction with AI, and provide high-quality, efficient product services.
To achieve the enterprise's "intelligent transformation and digital upgrading"
Intelligent manufacturing is not a simple case of "replacing humans with machines." Faced with the unfamiliar digital field, especially as digital transformation is showing new trends, some enterprises, particularly small and medium-sized ones, are adopting a wait-and-see attitude.
"Intelligent transformation and digital upgrading" (i.e., "smart and digital transformation") is not merely the combination and reset of software and hardware, but rather the reshaping and reconstruction of enterprises in an all-round, multi-dimensional, full-chain, and full-lifecycle manner.
Optimize procurement strategies to achieve intelligent supply chain management.
Deploy intelligent inspection equipment and other related measures to achieve refined quality control.
Implement order-driven production planning and scheduling to improve production efficiency.
Implement sensing and intelligent control for comprehensive production data monitoring.
Its core lies in improving production efficiency, reducing labor costs, and minimizing waste. This requires implementing data collection, process monitoring, equipment management, quality management, production scheduling, and data statistical analysis throughout the entire production process, and achieving the goals through real-time monitoring.