| Title |
An innovative approach to plant and process supervision, Danieli Intelligent Plant |
| ID_Doc |
64044 |
| Authors |
Ometto, M |
| Title |
An innovative approach to plant and process supervision, Danieli Intelligent Plant |
| Year |
2022 |
| Published |
Ifac Papersonline, 55, 40 |
| DOI |
10.1016/j.ifacol.2023.01.091 |
| Abstract |
Under the push of the European Green Deal [1], a transformation to "make things" is taking place. The Danieli Intelligent Plant DIP has the ambition to enable the Sustainability of metals manufacturing. DIP is a new fully immersive control and supervision model based on augmented, mixed and virtual reality sensing and processing technologies. Processes, machines and equipment are holistically integrated with operators/decision makers using data-driven approaches and AI and ML. This allows to extensively control, supervise processes and machines characterized by large degree of autonomy to optimize processes, quality and maintenance operations. Firstly, a new concept of HCI (Human Computer Machine Interface) has been realized based on the evolution of 3Q philosophy allowing local and remote monitoring and control of processes through the same approach customized for different technological scenarios. Remote cooperation, assistance and maintenance is also part of the environment for having no-man-on-floor increasing safety and putting the focus on control and human centrality. Not less important, the extensive use of mobile solutions (wireless Local Control Station) have an important role to reduce the human factor whenever a shop floor operation is mandatory. |
| Author Keywords |
IIOT; Plant Management; Plant Operator Support; Decision Making Support; HCI; Human in the loop; Human Factor; Artificial Intelligence; AR; VR; MR; Digital Twin; POI Point of interest |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000925770700053 |
| WoS Category |
Automation & Control Systems |
| Research Area |
Automation & Control Systems |
| PDF |
https://doi.org/10.1016/j.ifacol.2023.01.091
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