Abstract
In order to achieve the intelligent control of production processes, a data-driven add-on cyber-physical system architecture of a CNC machine tool is proposed. And three key aspects of the configuration design of the cyber-physical system are also studied, i.e., node configuration of the add-on cyber-physical system, interconnection technology of the heterogeneous nodes and data-driven adaptive configuration method of the sensor networks. A Big Data analysis method is adopted to discover the unknown configuration rules and the optimal control. Finally, a cyber-physical system based on a small-scale flexible automated production line in our Manufacturing System Lab is taken as an application case.
| Original language | English |
|---|---|
| Pages (from-to) | 360-365 |
| Number of pages | 6 |
| Journal | Procedia CIRP |
| Volume | 56 |
| DOIs | |
| State | Published - 2016 |
| Event | 9th International Conference on Digital Enterprise Technology - Intelligent Manufacturing in the Knowledge Economy Era, DET 2016 - Nanjing, China Duration: 29 Mar 2016 → 31 Mar 2016 |
Keywords
- Big Data analysis
- CNC machine tool
- configuration design
- cyber-physical system