International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B3. Istanbul 2004
- provide recommendation scenarios for decision support;
- transfer the recommendation data to the control unit in order
to forward them to the other buildings.
2.4 Data
The GIS-based database will contain:
- topology (absolute and reciprocal position of the buildings);
- attributes of the buildings (kind of buildings, usage, etc.)
- present or expected attributes of the rooms in each building
(rooms utilization; target values for internal comfort: target
range of sensor-value, also according to the rooms utilization in
the building);
- additional attributes (dependencies/relationships of values and
parameters:
- static (pre-defined scenarios)
- dynamic (coming from the results of internal or
external simulation (on-line or off-line), also
according to users’ interactions and human
perception.
Collecting experiences and data, producing new information out
of the existing and provide decision support is the role of a GIS
system.
Other tools are not designed for system integration. Some of
them, like CAD and Simulation Programs, can provide data
sources and therefore can play the role of data acquisition tools
for our GIS-based system.
All other tools to be connected to our system must have an
open, known structure for input (data/interface) and output data
(DB structure or export file).
3. CONCLUSIONS
The present research is focused on increasing the Intelligent
Building's total performance by means of GIS technologies and
aims at giving an interdisciplinary approach to the problem.
Research, literature, design and construction have so far
provided high quality IBs capable of answering to the main
request of adaptability. This topic has been very well
investigated and now research is setting new targets and
challenges. It is not enough anymore to realize a very well
performing building but too much energy consuming and it is
not cost effective to design a new building for each new
location without taking into account the experience of other
buildings in other contexts.
Attempt of present research is to give a new solution to enhance
IB performance and contain energy usage by taking advantage
of disciplines that until now have never been connected to
building design.
The core functionalities of a Geographic Information System
are able to make a building "realize" where it finds itself, how
natural and built environment are, which resources are available
and which are the reciprocal relationships within all these
elements, in order to produce a cooperative organism able to
optimise the total behaviour. Each cell in the organism doesn't
loose its identity, because the whole system is able to respect
local constraints, but can take advantage of the community
behaviour to strengthen and power its quality and performance.
Our on going research is also trying to prove that not
necessarily a wide amount of very complex technologies have
to be used and connected to reach our target: by using the very
powerful GIS capabilities as the key of the whole project and
by focusing on a definite scenario we will be able to single out
the strictly needed technology, in the general attempt to lower
complexity and produce a prototype available and easy-to-use.
4. REFERENCES
Asimakopoulos, D. N., et al., Energy and climate in the urban
built environment, James & James, London, 2001.
Boed, V., et al, Networking and integration of facilities
automation systems, Boca Rato CTC Press, 2000.
Clark, G., Metha, P., Artificial intelligentce and networking in
integrated building management systems. - In: Automation in
Construction, vol. 6, pp. 481-498, 1997.
Clements-Croome, T., What do we mean by intelligent
buildings? - In: Automation in Construction, vol. 6, pp. 395-
400, 1997.
Daniels, K, at al., Bauen für die Zukunft, HL Technik AG,
München, 2002.
Daniels, K, The Technology of Ecological Building, Basel
„1997.
Dimson, B., Principles and challenges of sustainable design and
construction. - In Industry and Environment, vol. 19(2), 1996.
Flourentzou F.; Roulet C.-A., Multicriteria analysis of IEQ in
sustainable buildings outline of a methodology EPIC 2002
AIVC Conference Proceeding, Lyon ; October (2002).
Gallo, C.: Architettura ecosistemica, Gangemi, Roma, 1998.
Gassmann, O., Meixner, H., Sensors in Intelligent Buildings,
Wiley-VCH Verlag, 2001.
Gay J.-B.; Homem de Freitas J.; Ospelt Ch.; Rittmeyer P.;
Sindayigaya O., Standardizing Sustainability : Creating a
Sustainability Indicator for Buildings Journal of Urban
Technology // Vol 4, Number 2, pp. 53-67 ; (1997).
Gay J-B. Rittmeyer P., Impact environnemental des
constructions - Comparaison de variante d'implantation
CISBAT'97 - Lausanne ; octobre (1997)
Guillemin A., Morel N., Experimental results of a self-adaptive
integrated control system in buildings : a pilot study Solar
Energy, Elsevier Science Ltd // 75(5), pp. 397-403 ; May
(2002)
Guillemin A.; Molteni S., An energy-efficient controller for
shading devices self-adapting to the user wishes, in: Building
and Environment // 37(11), pp. 1091-1097 ; November (2002).
Guillemin A.; Molteni S.; Morel N., Application of Genetic
Algorithms to adapt an energy efficient blinds controller to the
user wishes CISBAT 2001 - EPFL // pp.331-336 ; 3 - 4 octobre
(2001).
Guillemin A.; Morel N., An innovative lighing controller
integrated in a self-adaptive building control system Energy &
Buildings, Elsevier Sciences // 33(5), pp. 477-487 ; May
(2001).
Intern
Jine
Guille
autom
2003
(2003
Hartke
engin
a C
Const
Hartk
perfor
393; |
Hendi
a wh
and E
Kua,
meth
built |
231-2
Merte
Analı
gesur
Molt
LC
Wind
Vent
(200!
Ngov
envir
Envii
Oest
gains
stock
(199
Roul
impa
33.p
Roul
the
Tran
(US,
Roul
Sola
Rou
Rest
Ener
Scar
N.(E
Schl
M. (
Desi
200.
