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Artificial Intelligence to predict and control the behavior even in the most complex industrial processes

Objective

With the digitalization of the industry, smart electronics and sensors that control and supervise every stage of the paper production process are available. However, current solutions to process the data such as manual data processing, neural networks design or other machine learning models cannot keep up with the amount of gathered data, providing inefficient decision-making models that ultimately do not solve the problem completely. PerfectPattern has developed, Pythia, An Artificial Intelligence (AI) solution based on deep learning algorithms, capable of autonomously gathering, cleaning and analysing data within seconds. Pythia is able to forecast error behavior of a highly complex production system around 30 minutes ahead, with a model that takes under a second to compute data. Thanks to this long pre-warning time, it is possible to build smart strategies to prevent the error. The system even allows to check with Pythia if the strategy will effectively avoid the future error. We not only deploy the leading edge research in AI from Mathematics, we understand key influences coming from leading edge science in Physics (string theory, quantum field theory). Therefore Pythia’s AI is a leapfrog in technology. Pythia has already reported economic benefits to the paper production industry. But the potential of Pythia goes beyond the paper industry. With its unsupervised data analytics and anomaly detection capabilities, Pythia can be expanded as a prediction and production control system for many other industrial applications. With the PoC of Pythia giving successful initial results; there are several big decisions to make before we can continue with the project. We are seeking now to conduct a feasibility study in order to direct our development and commercial efforts.

Call for proposal

H2020-SMEInst-2018-2020-1
See other projects for this call

Coordinator

PERFECTPATTERN GMBH
Address
Boschetsrieder Strasse 71
81379 Munchen
Germany
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
EU contribution
€ 50 000