Objective
The goal of this project is to develop novel information sensing research and innovation approaches for acquiring, communicating and processing a large volume of heterogeneous datasets in the context of smart buildings, by building an international, inter-disciplinary and inter-sectoral collaboration network through research and innovation staff exchanges and seamless exchange of ideas, expertise, data, testbeds, and know-how.
The need to sense and process ever increasing amount of data requires novel engineering that goes far beyond conventional centralised methods, where signal acquisition, communications and data processing are performed centrally and independently. Building on integrating signal acquisition, communications and information extraction into an overarching smart sensing approach, the project will provide a holistic decision support framework for non-residential buildings of the future. The key challenges of providing intelligence to the building lie in ubiquitous sensing, inside and outside the building, and connecting the sensing technology to people and outside world via meaningful decision support. Though significant research has been dedicated to developing novel sensing and instrumentation technologies, further research and innovation advances are needed to integrate physical sensing to data processing via distributed estimation and fusion approaches, giving actionable meaning to the suite of collected data. In that context, it is necessary not only to continuously monitor the environment, equipment, systems and processes, but also to sense occupants’ behaviour inside and outside the building and provide timely response and feedback.
The proposal will tackle the above challenges through several routes: (1) new information-driven sensor designs that connect technology with people and information; (2) new Internet-of-Everything based communications protocols for seamless distributed detection and estimation; (iii) intelligent data processing.
Fields of science
- engineering and technologyenvironmental engineeringenergy and fuelsrenewable energy
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensors
- natural sciencescomputer and information sciencesartificial intelligencemachine learningtransfer learning
- natural sciencescomputer and information sciencesdata sciencedata mining
- natural sciencescomputer and information sciencesdata sciencedata processing
Programme(s)
Coordinator
G1 1XQ Glasgow
United Kingdom
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Participants (6)
28006 Madrid
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010 26 Zilina
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21000 Novi Sad
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01001 Zilina
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SE1 8NW London
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2100 Novi Sad
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Partners (6)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
Participation ended
190-8518 Tokyo
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
2006 Sydney
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
200092 Shangai
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
H3A0G4 Montreal
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
V5A 1S6 Burnaby
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
M3JIP3 Toronto
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