Livrables
Description of the congnitive solutions and its relation with the platform at the IoT level and the data space to be used
CAPRI Industrial Analytics Platform and Data SpaceDescription of the congnitive solutions and its relation with the platform at the industrial analytics level
Operation Layer Reference ImplementationsDevelopment of the “Operation Layer” Reference Implementation (OLRI) of the CAP, paving the way to further customizations needed for the implementation of the three tailored instances of the CAP in the three use cases
Planning Layer Reference ImplementationsDevelop of the “Planning Layer” Reference Implementation (PLRI) of the CAP, paving the way to further customizations needed for the implementation of the three tailored instances of the CAP in the three use cases.
Control Layer Reference ImplementationsDevelopment of the “Control Layer” Reference Implementation (CLRI) of the CAP, paving the way to further customizations needed for the implementation of the three tailored instances of the CAP in the three use cases.
CAPRI Smart knowledge and semantic data modelsDescription of the cognitive solutions and its relation with the platform at the smart knowledge and semantic data models level
Visual IdentityCAPRI Smart decision support
Description of the cognitive solutions and its relation with the platform at the smart decision support level for the cognitive solutions
Cognitive Automation Platform BlueprintsFinal Blueprints of the platform used for the three cases targeted by CAPRI, by paving the way to the final integration of the pilot-specific interfaces that cover the interoperability of all the developed cognitive sensor-, control- and operational solution
Final Conference ReportReport reeview about the most important points talked about in the final conference meeting
Sensors Layer Reference ImplementationsDevelopment of the “Sensors Layer” Reference Implementation (SLRI) of the CAP, paving the way to further customizations needed for the implementation of the three tailored instances of the CAP in the three use cases.
Project Website and Social Media accounts and profilesReport 3 Minutes of project management meetings Provides minutes of discussions held Once every six months there will be a periodic meeting of all partners to assess progress on ongoing tasks review next steps and adjust the work plan accordingly if necessary
Validation report of methodology for digital transformation and replicability analysisUpdate of the Methodology developed in WP2 in association with specific improvements gained causing the most impact for a later replication in other process industries
Report 1 Minutes of project management meetingsReport 1 Minutes of project management meetings. Provides minutes of discussions held). Once every six months there will be a periodic meeting of all partners to assess progress on ongoing tasks, review next steps, and adjust the work plan accordingly if necessary
CAPRI final reference architectureFinal architecture of the cognitive automation platform
Final Report: Minutes of project management meetingsFinal Report Minutes of project management meetings
Kick-off meeting result report, financial and technical agreementsKick-off meeting result report, financial and technical agreements. Legal part
Reference architecture of Cognitive Automation PlatformPreliminar design of the CAP Architecture based on existing standards (FIWARE, RAMI4.0, IDSA, Apache) and requirements from use cases.
Report 2: Minutes of project management meetings.Report 2: Minutes of project management meetings. Provides minutes of discussions held). Once every six months there will be a periodic meeting of all partners to assess progress on ongoing tasks, review next steps, and adjust the work plan accordingly if necessary
Reference Implementation of Cognitive Process Plants and Alignment with other cognitive initiativesDescription of the cognitive solutions reference implementation with a focus on generalization for the the process industry and the CAPRI addressed sectors It will include and alignment of the Capri research work with the most recent avancements
Final Report: Training and Education program reportFinal document explaining the impact of the training program ensuring the toolkit’s evolution after project’s end, learn resources, will cover: lectures, seminars, workshops, conferences, in house training and on-line materials
Initial Report: Training and Education program reportDefinition of the strategy for a training program ensuring the toolkits evolution after projects end learn resources will cover lectures seminars workshops conferences in house training and online materials
Report 6: Minutes of project management meetings.Report 6 Minutes of project management meetings Provides minutes of discussions held Once every six months there will be a periodic meeting of all partners to assess progress on ongoing tasks review next steps and adjust the work plan accordingly if necessary
Final Report: Business Models InventoryDevelop of potential Business models using the business model canvas. Information on customer segments and market, value propositions, revenue streams and needs for resources and activities among other characteristics will be collected in a Business Models Inventory.
Report 5: Minutes of project management meetings.Report 5 Minutes of project management meetings Provides minutes of discussions held Once every six months there will be a periodic meeting of all partners to assess progress on ongoing tasks review next steps and adjust the work plan accordingly if necessary
Report 4: Minutes of project management meetings.Report 4 Minutes of project management meetings Provides minutes of discussions held Once every six months there will be a periodic meeting of all partners to assess progress on ongoing tasks review next steps and adjust the work plan accordingly if necessary
Digital Transformation methodology for process industries definitionStudy and implement a new methodology, which will evaluate the required digital transformation pathways for process industry in order to fully adopt the Cognitive Plant paradigm in the process industry
Final Report: SPIRE Digital Transformation EcosystemFinal description of how the project and the CAP will have an impact in the digital transformation of the process indsutries and how this willl channelled through SPIRE PPP
Potential Replication AreasAnalyse the potential replication options in 2 additional relevant sectors to the process industry
Initial Report: SPIRE Digital Transformation EcosystemInitial description of how the project and the CAP will have an impact in the digital transformation of the process indsutries and how this willl channelled through SPIRE PPP
Initial Report: Business Models inventoryDevelop of potential Business models using the business model canvas Information on customer segments and market value propositions revenue streams and needs for resources and activities among other characteristics will be collected in a Business Models Inventory
Publications
Auteurs:
Vega C., Gómez D. and Reñones A.
Publié dans:
2022, Page(s) 267-278, ISBN 978-989-758-612-5
Éditeur:
ETCIIM
DOI:
10.5220/0011562000003329
Auteurs:
Christoph Nölle, Asier Arteaga, Joseba Igia, Antonio Salis, Gabriele De Luca, Norbert Holzknecht
Publié dans:
2022
Éditeur:
ETCIIM
Auteurs:
Elisabeth Fink; Selma Celikovic; Jakob Rehrl; Stephan Sacher; Jesús Alberto Afonso Urich; Johannes Khinast
Publié dans:
Crossref, Numéro 1, 2023
Éditeur:
European Journal of Pharmaceutics and Biopharmaceutics
DOI:
10.2139/ssrn.4435095
Auteurs:
Antonio Salis, Angelo Marguglio, Gabriele De Luca, Sergio Gusmeroli, Silvia Razzetti
Publié dans:
2022
Éditeur:
ELSEVIER
DOI:
10.48550/arxiv.2202.06622
Auteurs:
Christoph Nölle, Petri Kannisto
Publié dans:
CompSci, 2023, ISSN 2352-6270
Éditeur:
CompSci
DOI:
10.48550/arxiv.2310.03761
Auteurs:
Selma Celikovic; Johannes Poms; Johannes Khinast; Martin Horn; Jakob Rehrl
Publié dans:
Crossref, Numéro 7, 2023, ISSN 0146-3063
Éditeur:
National Library of Medicine
DOI:
10.1016/j.ijpharm.2023.123038
Auteurs:
Anibal Reñones; Cristina Vega; Mario de la Rosa
Publié dans:
Sensors; Volume 23; Numéro 11; Pages: 5019, Numéro 1, 2023, ISSN 1424-8220
Éditeur:
Multidisciplinary Digital Publishing Institute (MDPI)
DOI:
10.3390/s23115019
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