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TECH-IOMES is a technology using ML to predict processes outputs, typically applied today in continuous processes, based on big data and basic process information.
About
The prediction of output parameters in complex industrial systems has been always targeted by operational experts, managers and the science itself. From the development of faster computers, the application of artificial intelligence, and specifically machine learning, has become more accessible. By coupling process expertise with the machine learning algorithms, the team at IOMES GROUP has developed an innovative to use automation data and upstream product quality information to predict all or the key variables that define quality in heavy industry processes. With few adjustment, this technology can applied to any casual/deterministic system with accuracies as high as 99%.
Key Benefits
By online prediction of product quality with TECH-IOMES, the process is monitored by acquiring data of several process parameters and analyzing direct effects as well as interactions among them. By using the online model, key personnel in industrial plants can react on data during process and take countermeasures to avoid scrapping. Feedback as well as feedforward control models can also be implemented.
Benefits : quality prediction, digital twin building, cost analysis, process and plant optimization
Applications
Heavy industry:
-metals (smelting, casting, rolling, surface finishing, other processes)
-industrial wastewater treatment
-cement making and mining processes
-other continuous or semi-continuous processes