SIDAC2
System for intergrated, data-driven asset controlling of real estate

At a glance
- Project leader : Dr. Philipp Ackermann
- Project team : Andreas Bergmann, Prof. Dr. Carsten K. Druhmann
- Project status : completed
- Funding partner : CTI (KTI-Projekt / Projekt Nr. 18490.1 PFES-ES)
- Project partner : QualiCasa AG, a2-c AG
- Contact person : Philipp Ackermann
Description
The aim of the SIDAC2 project is an integrated system for the
valuation and management of existing real estate. The SIDAC2
project team was made up of ZHAW researchers from the Institute for
Facility Management (IFM), the Institute for Administration and
Management (IVM) and the Institute for Applied Information
Technology (InIT). QualiCasa AG and a2-c AG were involved in the
project as industrial partners. Together, the SIDAC2 software
system was further developed and new real estate services realized.
The two extended main functions of SIDAC2 relate to data collection
and simulation.
There is a great need for the collection of existing real estate,
since there are often no or not up-to-date 2D architectural plans
and the actual situation has to be tracked over the years. In the
SIDAC2 project, the following approaches were followed, developed
and field-tested:
• Modeling in CAD tools with manual maintenance of metadata
• Building and room acquisition using a laser scanner and
subsequent processing of 3D and meta data
• Automated generation of building envelopes from swisstopo aerial
photographs with derivation of metadata according to hedonic and
empirical approaches
• Indoor room capturing with mobile devices using Augmented Reality
(AR)
The R&D work by SIDAC2 focused on smart solutions in order to
obtain application-oriented 3D building models with the least
possible effort. For the mobile room capturing, the Google Tango
device with depth camera was first used. Towards the end of the
project, Apple released with ARKit a new technology that enables
new-generation iPhones (without a special camera) to provide
similar 3D recognition capabilities, which has been positively
demonstrated as a technological feasibility with the ARchi VR app.
Digital space capturing aims to improve downstream processes such
as asset & facility management, maintenance and cost controlling in
the usage phase of real estate. For this purpose, the geometric 2D
and 3D data must be supplemented with additional information (such
as metadata about object types, materialization, age, area
separations, etc.). This integrated building information (as
Building Information Model, BIM) can thus be used for more than
just in the classic construction phase. However, real estate
managers and financial service providers have different
requirements for the scope and precision of data than architects
and energy planners.
For this enhanced use of BIM, Qualicasa's data-driven pricing model
has evolved to holistically consider lifecycle costing (LCC). For
the integration of BIM and LCC, the classification of the trades
and components is the key to linking the widest variety of data
sources. For this purpose, the eBKP classification system
(electronic construction cost plan, eBKP, www.crb.ch) was used in
the field test for the coordination between BIM and LCC simulation.
In addition to empirical data on component lifetime, regional
factors (cantonal legislation, conditions of building insurance)
were also included in the calculation scheme. Based on the LCC
calculation, detailed simulations of investment and renovation
planning for the preservation of real estate can be calculated from
the collected building data, age of the trades, price development
and financing costs.
The integration of BIM and LCC increases the planning accuracy of
investment and renovation projects for housing inventories. This
approach is likely to show practical and financial improvements in
the construction industry and in real estate management.