Explore the words cloud of the MONSOON project. It provides you a very rough idea of what is the project "MONSOON" about.
The following table provides information about the project.
Coordinator |
ISTITUTO SUPERIORE MARIO BOELLA SULLE TECNOLOGIE DELL'INFORMAZIONE E DELLE TELECOMUNICAZIONI ASSOCIAZIONE
There are not information about this coordinator. Please contact Fabio for more information, thanks. |
Coordinator Country | Italy [IT] |
Project website | https://www.spire2030.eu/monsoon |
Total cost | 5˙497˙190 € |
EC max contribution | 5˙497˙190 € (100%) |
Programme |
1. H2020-EU.2.1.5.3. (Sustainable, resource-efficient and low-carbon technologies in energy-intensive process industries) |
Code Call | H2020-SPIRE-2016 |
Funding Scheme | RIA |
Starting year | 2016 |
Duration (year-month-day) | from 2016-10-01 to 2019-09-30 |
Take a look of project's partnership.
The MONSOON vision is to provide Process Industries with dependable tools to help achieving improvements in the efficient use and re-use of raw resources and energy. MONSOON aims at establishing a data-driven methodology supporting the exploitation of optimization potentials by applying multi-scale model based predictive controls in production processes. MONSOON features harmonized site-wide dynamic models and builds upon the concept of the cross-sectorial data lab, a collaborative environment where high amounts of data from multiple sites are collected and processed in a scalable way. The data lab enables multidisciplinary collaboration of experts allowing teams to jointly model, develop and evaluate distributed controls in rapid and cost-effective way. Hybrid simulation and seamless integration techniques are adopted for rapid prototyping and deployment in real conditions. MONSOON will be developed and evaluated in two sites from the aluminium and plastics domains. The aluminium scenario will be focused on predictive monitoring of potlines, targeting early detection of anomalies and identification of potential optimization gains. Aluminium cases will be implemented in the plant with the highest primary aluminium production in the EU-28, namely the AP Dunkerque smelter, France. The plastics scenario will focus on fusing data from data-intensive in-mould sensors with information from higher SCADA levels, enabling early and precise identification of potential issues. This use case will be implemented in the GLN plant in Maceira-Leiria. MONSOON addresses the SPIRE vision, providing advantages for the European industry competitiveness and sustainability through the realization of an overarching monitoring and control infrastructure. MONSOON aims at creating synergies within and between the process industry sectors, boosting European industry in the worldwide race for competitiveness and sustainability.
Final Requirements and Architecture Specifications | Documents, reports | 2020-03-17 14:12:18 |
Final Project Advertising Materials and Results | Websites, patent fillings, videos etc. | 2020-03-17 14:12:18 |
Updated Report on the standardization landscape and applicable standards | Documents, reports | 2020-03-17 14:12:18 |
Report on the contributions to standardization | Documents, reports | 2020-03-17 14:12:18 |
Final Multi-scale Model based Development Environment | Other | 2020-03-17 14:12:18 |
Final Demonstrators in the Aluminium and Plastics domain | Documents, reports | 2020-03-17 14:12:18 |
Final Online and Deep Machine Learning Functions | Other | 2020-03-17 14:12:18 |
Final Lifecycle Management plugin | Other | 2020-03-17 14:12:18 |
Final Virtual Process industries Resources Adaptation | Other | 2020-03-17 14:12:18 |
Final Big Data Storage and Analytics Platform | Other | 2020-03-17 14:12:18 |
Final Cross-sectorial Domain Model | Documents, reports | 2020-03-17 14:12:18 |
Initial Demonstrators Evaluation and Impact Report | Documents, reports | 2020-03-17 14:12:18 |
Final Semantic framework for dynamic multi-scale industry modelling | Other | 2020-03-17 14:12:18 |
Initial Project Advertising Materials and Results | Websites, patent fillings, videos etc. | 2020-03-17 14:12:18 |
Initial Demonstrators in the Aluminium and Plastics domain | Documents, reports | 2020-03-17 14:12:18 |
Final Trend Analysis Functions | Other | 2020-03-17 14:12:18 |
Initial Deployment and Maintenance Report | Documents, reports | 2020-03-17 14:12:18 |
Initial Lifecycle Management plugin | Other | 2020-03-17 14:12:17 |
Updated Real time Communications Framework | Other | 2020-03-17 14:12:17 |
Updated Big Data Storage and Analytics Platform | Other | 2020-03-17 14:12:17 |
Updated Virtual Process industries Resources Adaptation | Other | 2020-03-17 14:12:17 |
Initial Process Industry Domain Analysis and Use Cases | Documents, reports | 2020-03-17 14:12:17 |
Test and Integration Plan | Documents, reports | 2020-03-17 14:12:17 |
Initial Runtime Container | Other | 2020-03-17 14:12:17 |
Project Website | Websites, patent fillings, videos etc. | 2020-03-17 14:12:17 |
Initial Virtual Process industries Resources Adaptation | Other | 2020-03-17 14:12:17 |
Initial Trend Analysis Functions | Other | 2020-03-17 14:12:17 |
Initial Requirements and Architecture Specifications | Documents, reports | 2020-03-17 14:12:17 |
Initial Big Data Storage and Analytics Platform | Other | 2020-03-17 14:12:17 |
Initial Multi-scale Model based Development Environment | Other | 2020-03-17 14:12:17 |
Initial Cross-sectorial Domain Model | Documents, reports | 2020-03-17 14:12:17 |
Initial Semantic framework for dynamic multi-scale industry modelling | Other | 2020-03-17 14:12:17 |
MONSOON platform usage scenarios | Documents, reports | 2020-03-17 14:12:17 |
Initial Real time Communications Framework | Other | 2020-03-17 14:12:17 |
Report on the standardization landscape and applicable standards | Documents, reports | 2020-03-17 14:12:17 |
Initial Online and Deep Machine Learning Functions | Other | 2020-03-17 14:12:17 |
Communication and Dissemination Strategy | Documents, reports | 2020-03-17 14:12:17 |
Initial Integrated MONSOON Platform | Other | 2020-03-17 14:12:16 |
Initial Evaluation Framework | Documents, reports | 2020-03-17 14:12:17 |
Initial Integrated Resource Optimization Toolkit, Decision Support | Other | 2020-03-17 14:12:16 |
Updated Process Industry Domain Analysis and Use Cases | Documents, reports | 2020-03-17 14:12:16 |
Take a look to the deliverables list in detail: detailed list of MONSOON deliverables.
year | authors and title | journal | last update |
---|---|---|---|
2017 |
Martin Sarnovsky, Peter Bednar (TUK) MONSOON project – design of big data analysis plaform in process industries (in Slovak) published pages: 93 - 97, ISSN: , DOI: |
Data a znalosti | 2020-03-17 |
2019 |
Claudio Pastrone The efficiency of production processes published pages: , ISSN: , DOI: |
Platinum | 2020-03-17 |
2019 |
Nikolaos Kolokas, Thanasis Vafeiadis, Dimosthenis Ioannidis, Dimitrios Tzovaras Anomaly detection in aluminum production with unsupervised machine learning classifiers published pages: , ISSN: , DOI: |
International Symposium on INnovations in Intelligent SysTems and Applications | 2020-03-17 |
2019 |
Achilleas Pasias, Thanasis Vafeiadis, Dimosthenis Ioannidis, Dimitrios Tzovaras Forecasting bath and metal height features in electrolysis process published pages: , ISSN: , DOI: |
International Workshop on IoT Applications and Industry 4.0 | 2020-03-17 |
2019 |
Bilal Azennoud, Ameline Bernard, Vincent Bonnivard, Hervé Pedroli Anode Quality Monitoring Using Advanced Data Analytics published pages: , ISSN: , DOI: |
Light Metals 2019: Electrode Technology for Aluminium Production | 2020-03-17 |
2019 |
Martin Sarnovsky, Peter Bednar, Miroslav Smatana Cross-Sectorial Semantic Model for Support of Data Analytics in Process Industries published pages: , ISSN: 2227-9717, DOI: |
\"Processes Journal, Special Issue: \"\"Big Data Analysis in the Process Industry\"\"\" | 2020-03-17 |
2018 |
Nikolaos Kolokas, Thanasis Vafeiadis, Dimosthenis Ioannidis, Dimitrios Tzovaras (CERTH) Forecasting faults of industrial equipment using machine and deep learning classifiers published pages: , ISSN: , DOI: |
IEEE International Conference on Innovations in Intelligent Systems and Applications | 2020-03-17 |
2018 |
Jose Antonio Jimenez (UNE) Optimizing industrial processes through MONSOON published pages: 24 - 25, ISSN: 2605-0013, DOI: |
Revista UNE | 2020-03-17 |
2018 |
Peter Bednar, Martin Sarnovsky, Miroslav Smatana (TUK) Big Data Processing and Analytics Platform Architecture for Process Industry Factories published pages: , ISSN: 2504-2289, DOI: |
Big Data and Cognitive Computing Journal | 2020-03-17 |
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The information about "MONSOON" are provided by the European Opendata Portal: CORDIS opendata.
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