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CyPhyLab
TU Berlin | Fak VI | Institut für Architektur
FG Städtebau und Nachhaltige Stadtentwicklung
CHORA Conscious City | A30 | Raum 609
Straße des 17. Juni 152 | DE-10623 Berlin
NOIISE is an interdisciplinary and international project lead by Technische Universität Berlin, Chair id Sustainable Urban Planning and Design, CyPhyLab – laboratory for cyber-physivcal systems in architecture and urban design. It is an an EIT Digital Innovation Activity in the Focus Area Digital Wellbeing. The Innovation Activity is funded by EIT Digital (European Institute of Innovation and Technology) as part of Horizon 2020, the largest EU Research and Innovation programme.
NOIISE is an EIT Digital Innovation Activity in the Focus Area Digital Wellbeing. Based on a consortial organisational structure the following partners are pooling their respective academic, research and industrial expertise: Technical University of Berlin (TUB), audEERING GmbH, Signify N.V., and Sensorberg GmbH. Our partners are long-term experts in the digitalisation of complex buildings and physical processes in offices, cowering spaces and hotels (Sensorberg), emotion and acoustic context analysis using artificial intelligence (audEERING), connected lighting products, systems, and services (Signify), as well as architecture and urban design (TUB).
With the NOIISE solution, stakeholders in office workspace management, as well as office workers, are enabled to take informed decisions on the acoustic comfort quality of workplaces. Their assessments are guided by representative and specific noise classifications obtained through accurate and continuous, sensor-based, space monitoring. This will result in a more productive work environment that satisfies acoustic comfort needs temporarily (e.g., by allowing to choose a desk in an appropriate area) or structurally (e.g., by re-stacking groups in the workspace).
Modern offices get transformed and designed into workspaces that flexibly and efficiently support office work activities with minimal real estate footprint. However, open plan offices and unclear policies regarding the intended use of work spaces often create environmental conditions with unsatisfactory acoustic comfort. People complain about noise levels and about being distracted from their work accordingly. This affects both, people’s wellbeing and comfort at work, as well as their performance with regard to their prime work activities.
NOIISE Leaflet
NOIISE EIT Digital Factsheet
The project validates the noise, sound and occupancy sensing capabilities of the sensor bundle in applications that address acoustic comfort for office workspaces. This is using a sample of a pre-product sensor bundle that allows fast application prototyping and exploration in the environment.
In the application for Android and iOS the end user can set up noise and space preferences. The app suggests the most suitable working spot. It refreshes in short intervals to track the noise development of space. Co-working space operators can use the ap to see how the space develops in different time periods.
This diagram shows how NOIISE is working. Nearly real-time data is shown to the end user. With multiple filter option a suitable workplace should be found with ease. Otherwise refinement of filters could be done.
European Institute of Innovation and Technology
Funding Body
Technische Universität Berlin
TUB is project lead; responsible for activity managements reports and Start-Up creation
Signify
Signify is responsible to provide a ceiling-based, connected sensor infrastructure; sound data acquisition and forwarding to a cloud
Sensorberg
Sensorberg Application and dashboard development, definition of user journeys, service design and UI moduls for app and web platform
audEERING
audEERING is involved in developing and licensing software for intelligent audio analysis, in particular speech and sound-scapes
betahaus
betahaus the pilot study is being carried out in premises of the coworking space of betahaus
Liss C. Werner
Lab Leader, computational architecture and cybernetics
Suryaveer Patnaik
Data Analysis and Development
Valmir Kastrati
Bio-Computation and Digital Architecture
Theresa Lohse
Research Support and Graphics
Martin Baier
Research Support and Websites
Liss C. Werner
Assist. Professor
computational architecture and cybernetics
CyPhyLab
TU Berlin | Fak VI | Institut für Architektur
FG Städtebau und Nachhaltige Stadtentwicklung
CHORA Conscious City | A30 | Raum 609
Straße des 17. Juni 152 | DE-10623 Berlin
+49 30 314-26122
cyphylab@architektur.tu-berlin.de
cyphylab.chora.tu-berlin.de