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Platform for rapid deployment of self-configuring and optimized predictive maintenance services

Deliverables

Visualization and AR Specifciations

Detailed Specifciations of the PROPHESY’s visualization capabilities, including interfacing to PROPHESY-CPS, PROPHESY-ML and the complex demonstrators

Digital Modelling and Interoperability v1

Report on the digital models and interoperability techniques based on Task 3.2.

Demonstrators Sites Preparation Report v1

A report on the preparation of the pilot sites, including mobilization of stakeholders, training of employees, revisions to processes, deployment of infrastructure and more.

Demonstrators Sites Preparation Report v2

A report on the preparation of the pilot sites, including mobilization of stakeholders, training of employees, revisions to processes, deployment of infrastructure and more.

Service Bricks Specifications v1

Report on the service components that will be made available to the PROPHESY-SOE.

PROPHESY-SOE Specifications

Detailed specifications of PROPHESY SOE platform, including specifications of its potential impact on RAMS and FMECA processes.

Machines and Tools Models v1

A report on the models of the machines and tools that will be supported by the PROPHESY-ML. It will reflect the outcomes of Task 4.2.

Report on Standardization Activities and Collaboration with Associations v1

Detailed report on the project’s participation and contribution to standardization bodies and EU associations.

Report on Dissemination and Communication Activities v1

A detailed report on the dissemination and communication activities of the project, including information about their assessment.

Platform Architectures and Ecosystem Specifications v2

This deliverable will detail the technical architecture of the PROPHESY platforms (PROPHESY-CPS, PROPHESY-SOE, market platform), as well as the specifications of the PROPHESY ecosystem that will be built around the project’s results.

Dissemination and Commination Plan

Detailed dissemination and communication plan.

Specification of Data Assets and Services

Detailed specifications of data collection and analytics components, including PROPHESY-ML and techniques for data sharing and interoperability.

PROPHESY-CPS Specifications

Detailed specifications of PROPHESY-CPS platform, including documentation of the requirements driving the specifications (i.e. stakeholders’ requirements, market analysis/market requirements etc.).

Platform Architectures and Ecosystem Specifications v1

This deliverable will detail the technical architecture of the PROPHESY platforms (PROPHESY-CPS, PROPHESY-SOE, market platform), as well as the specifications of the PROPHESY ecosystem that will be built around the project’s results.

PROPHESY-CPS Middleware Infrastructure v1

Prototype implementation of the PROPHESY-CPS infrastructure, including edge devices, streaming and cloud integration capabilities.

PROPHESY Data Visualization Portal v1

Prototype implementation of the sharable dashboards based on the outcomes of Task 5.2.

Training and Knowledge Sharing Platform v1

Prototype implementation of the cloud-based training and knowledge sharing platform, based on the outcomes of Task 5.3.

Automatic Data Collection v1

Prototype implementation of the IoT data collection infrastructure of PROPHESY.

Security, Trustworthiness and Data Protection Framework v1

Prototype implementation of PROPHESY-CPS security and data protection mechanisms.

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Publications

Configurable Distributed Data Management for the Internet of the Things

Author(s): Kefalakis, Roukounaki, Soldatos
Published in: Information, Issue 10/12, 2019, Page(s) 360, ISSN 2078-2489
DOI: 10.3390/info10120360

Who’s There? Evaluating Data Source Integrity and Veracity in IIoT Using Multivariate Statistical Process Control

Author(s): Iñaki Garitano, Mikel Iturbe, Enaitz Ezpeleta, Urko Zurutuza
Published in: Lectures on Quantum Statistics - With Applications to Dilute Gases and Plasmas, Issue 953, 2019, Page(s) 181-198
DOI: 10.1007/978-3-030-12330-7_9

NOVAAS: A Reference Implementation of Industrie4.0 Asset Administration Shell with best-of- breed practices from IT engineering

Author(s): Giovanni Di Orio, Pedro Maló, José Barata
Published in: onference: IECON'19 - IEEE 45th Annual Conference of the IEEE Industrial Electronics Society, At Lisbon, Portugal, 2019