Conference proceedings article
Ontology for Logistics Requirements on a 4D BIM for Semi-Automatic Storage Space Planning



Publication Details
Authors:
Weber, J.; Stolipin, J.; König, M.; Wenzel, S.
Editor:
ISARC 2019
Place:
Banff, Alberta, Canada
Publication year:
2019
Pages range:
560-567
Book title:
36th International Symposium on Automation and Robotics in Construction (ISARC2019)
Languages:
English

Abstract

Well-coordinated    construction   site  logistics  are important    for  the efficient  assembly   of  large-scale plants.  Delays  in  logistics have  a  negative  impact  on assembly  processes and  vice  versa.  Incorrect  storage or improper  transport  can lead  to  damage  to the  sensitive  plant  components.   All  relevant  logistical constraints must therefore be systematically  analyzed,  assessed and  evaluated  during the planning  of construction  site  and  assembly  processes.  For  this  purpose , precise  knowledge  of  the  logistical  requirements  of each  individual   component  is very  important.  Nowadays  this information  is not  available   in digital  form and  must be elaborately  compiled  and  evaluated manually.  The  logistical  requirements  are  also  essential for the planning  of processes. So-called  4D models  are already  being  created  and  used  in plant  construction, but  storage  and  transport  processes on  the  construction site are only rudimentarily  taken into account.  In general, the 4D models  only  describe the construction process. In  order  to  better  investigate  and  plan  construction  site logistics using 4D models,  the  logistical requirements must  be identified, classified, generated for  each  plant component   and  made  available   digitally.  Therefore,  an  ontology  for the description  of  logistic boundary   conditions  and  requirements  is presented  in this paper.  The  focus is on large-scale plant engineering  and   the  special  storage  and   transport conditions  of the various  components.  The  ontology  is also  a  knowledge  base  to  identify  which  informati on is required  for  the planning  of construction  site logistics and  which  may  need  to be added.  Then,  for example,  semi-automatic  allocation  of storage space can be  calculated,  an  analysis of  the  utilization  of  transport equipment  can be carried  out or the impact  on the assembly  processes can be  determined.


Last updated on 2019-08-07 at 16:52