TY - GEN
T1 - A FRAMEWORK FOR AUTOMATED DATA ACQUISITION FOR SAFETY-ORIENTED MAINTENANCE OF BUILDINGS
AU - Isaac, Shabtai
N1 - Publisher Copyright: © European Council on Computing in Construction (EC3).
PY - 2022/1/1
Y1 - 2022/1/1
N2 - Existing maintenance methods in the building industry are insufficient. A major factor contributing to this situation is the lack of in-service system data, which characterizes the building industry. A framework for automated data acquisition to support optimal safety-oriented maintenance of complex building systems is presented in this paper. It is inspired by methods used in the aviation industry but is tailored to the requirements of the building industry. The method is verified through an application in a real-life case study of an automated parking garage.
AB - Existing maintenance methods in the building industry are insufficient. A major factor contributing to this situation is the lack of in-service system data, which characterizes the building industry. A framework for automated data acquisition to support optimal safety-oriented maintenance of complex building systems is presented in this paper. It is inspired by methods used in the aviation industry but is tailored to the requirements of the building industry. The method is verified through an application in a real-life case study of an automated parking garage.
UR - https://www.scopus.com/pages/publications/85177194799
U2 - 10.35490/EC3.2022.156
DO - 10.35490/EC3.2022.156
M3 - Conference contribution
SN - 9788875902261
T3 - Proceedings of the European Conference on Computing in Construction
SP - 278
EP - 284
BT - Proceedings of the 2022 European Conference on Computing in Construction
A2 - Tagliabue, Lavinia Chiara
A2 - Hall, Daniel M.
A2 - Soman, Ranjith
A2 - Chassiakos, Athanasios
A2 - Nikolic, Dragana
PB - European Council on Computing in Construction (EC3)
T2 - European Conference on Computing in Construction, EC3 2022
Y2 - 24 July 2022 through 26 July 2022
ER -