Product modeling - Business Meets Research

An approach to collect building
sensors data based on Building
Information Models.
Pierre Brimont & Sylvain Kubicki
CRP Henri Tudor
CRP Henri Tudor, three objectives
Research: Contribute through scientific
excellence to the production and transfer of
knowledge and to the international recognition
of the scientific community in Luxembourg.
Innovation: Sustainably strengthen the
innovation capacity of companies and public
Policy support: Support through research and
innovation, the definition, implementation and
evaluation of national public policies.
CRP Henri Tudor
Scientific & Technological Domains:
Materials technologies
Environmental technologies
Health care technologies
Information and communication technologies
Business organisation and management
Key Economic Sectors:
• Industrial Production and
• Construction and Building
• Transport and Logistics
• Service Industry
• IT, Multimedia and Communication
• Finance and Banking
• Healthcare, Medical and Social
• Governmental and Public
Construction @ CRP Henri Tudor
Construction Program. Our competencies
• Business “experts” (Architects, Civil Engineer / Dr., PhD
• IT scientists
• Appropriation, networking, IPR
Our team is historically involved in CRTI-B innovation
projects (
Today Tudor is co-animator of the NeoBuild innovation
pole (
2020 challenge in the construction industry
Towards zero-energy buildings (EU
regulations for new buildings)
Passiv/Positiv energy buildings
Very high level of insulation and airtightness
of interior spaces
Heating, Ventilation and Air Conditioning
become high-tech systems
Most of new-built houses are passiv houses,
with high control of:
Heat recovery ventilation, insulation, solar
Issues are emerging from these technologydriven design choices (Hasselaar 2008)
Comfort (overheating), noise (from
installations/systems), health risks (legionella
contamination of domestic water buffers,
moistures because of low ventilation volumes)
Building pathology data
Usually comes from the assessment
of insurance agencies experience
Could be widely collected from
sensors implemented within
buildings, buildings elements and
Air-moisture sensor (Savory et al. 2012)
An example:
Multi-layer wall panels in wood
Source: Leverwood
Big Data relevance
Sensor mesures
Context metadata
Linear and trustfull sources
No real time
Security perspective
Modeling : use of the BIM
Challenges and Opportunities with Big Data
Computing Community Consortium
Source: Autodesk
According to most of the practitioners and researchers, BIM is both
Product modeling, i.e. modeling of building-related information,
Process modeling, i.e. the way practitioners contribute to a
single/interoperable model of the (future) building
Towards standardization (BuildingSMART, research community)
IFC: standardizing product model (expected software
IDM: standardizing process model (understanding collaborative
work process)
IFD: effort towards common definitions and translations
BIM through the life-cycle of a building/facility
BIM as a step to big data modeling
buildingSMART data model standard
• IFC (ISO 16739:2013)
• Usually implemented by AEC software
IFC Property Sets
• Define all dynamically extensible properties.
• Can be customely defined (e.g. for sensorsspecific data modeling?)
Thank you for your attention
[email protected]
[email protected]

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