Objective
The ever-increasing use of building monitoring and control systems has created an opportunity for data-driven approaches in the entire construction sector. At the same time, interaction and interoperability among data platforms remain a challenging issue.
MODERATE will formalize a set of procedures and techniques that enable building owners, policymakers, facility managers, utility companies, etc., to openly share their data, gain insights, and make decisions while complying with regulations such as the General Data Protection Regulation (GDPR). Moreover, MODERATE will enable uniform access to heterogeneous data sources on buildings' performance, usually dispersed in several non-interoperable data silos.
Although several projects have recently emerged to address the problem of defining a modular data architecture, they lack:
- A protocol for data sharing and anonymization, complying with the rules defined by the GDPR while avoiding losing the statistical properties that make them valuable.
- A solution enabling data owners to openly share their datasets while profiting both economically and in terms of knowledge on their data.
- A fully open platform. Commonly, most of the results (data, algorithms, software, etc.) of a project are owned by partners within the consortium, making it very difficult to use them later without their permission.
MODERATE will develop an open platform, embracing leading-edge technologies, such as artificial intelligence (AI), machine learning (ML), blockchain/distributed ledger technologies, the internet of things (IoT), and many more. This platform will enable its users to analyze real-time building data from various building systems and provide insight into the many dimensions of a building's performance. The use of synthetic data generation techniques, not yet widely applied in the construction industry, is one of the elements that allow open data sharing, enabling more reliable services and generating business opportunities.
Fields of science
Not validated
Not validated
- natural sciencescomputer and information sciencesinternetinternet of things
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcontrol systems
- natural sciencescomputer and information sciencescomputer securitydata protection
- natural sciencescomputer and information sciencescomputer securitycryptography
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Keywords
Programme(s)
Topic(s)
Funding Scheme
HORIZON-IA - HORIZON Innovation ActionsCoordinator
39100 Bolzano
Italy
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Participants (19)
1348 Louvain La Neuve
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30123 Venezia
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33203 Gijon
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1040 Wien
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1040 Wien
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
2400 Mol
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Participation ended
10437 Berlin
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1050 Bruxelles / Brussel
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39044 Egna Dz
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28043 Madrid
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46022 Valencia
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03330 Crevillent
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Participation ended
6167RD Geleen
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
12006 Castellon
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
76344 Eggenstein-Leopoldshafen
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
33602 Bielefeld
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
10138 Torino
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46001 VALENCIA
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
10129 Torino
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