INTELLIGENT MANUFACTURING
Sentinel® is the predictive control system for metallic components manufacturing processes that, based on predictive control models and artificial intelligence, prevents defective manufacturing.
To achieve this Sentinel® detects any deviation happened in the production process and proposes the corrective actions to be implemented to ensure a quality outcome.
The data generated in the different areas and stations of the plant are collected, correlated and contextualized so they add value to the control of the process. As a result, they favor informed decision-making.
Starting from the data retrieved in real time and the aggregate information, Sentinel® uses Artificial Intelligence techniques to make predictions and generate alerts about the quality of the process and the expected results.
As a good controller, Sentinel® detects when a problem may appear and is in charge of calculating the best corrective actions that will prevent the appearance of problems during the manufacturing process.
Sentinel® platform adapts to differ metallic materials (aluminum, iron, steel) as well as to different manufacturing processes (foundry, HPDC, LPDC, forging, stamping).
Sentinel® systema is prepared to be installed from scratch or to adapt to the systems already implemented in the plant, also adjusting to the characteristics of the databases used. Its display system can also be deployed in different operating systems from Windows or GNU/Linux families.
Sentinel® focuses on the specific goals and/or objectives set by each plant, as well as on the needs presented by each production process. Thus, in addition to adapting the models and their operation, Sentinel® allows adjusting the control panels to the needs of each user, equipment or area.
Sentinel® allows data to be kept within the company’s own network and prevents its knowledge from being extracted through the encryption of its predictive models. In the same way, the use of Sentinel® and the interpretation of the results and notifications provided does not require expert knowledge.
«Our work is aimed at mastering the physics and the chemistry that govern the behavior of metallic alloys, the phenomena that take place during manufacturing processes and the conditions that affect the useful life of metallic components.
We rethink metallurgy to develop more effective, efficient and sustainable manufacturing processes that favor the manufacture of components with enhanced properties and that open up new fields of application».
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