Representing work spaces generically in construction method models

被引:55
作者
Akinci, B [1 ]
Fischer, M
Kunz, J
Levitt, R
机构
[1] Carnegie Mellon Univ, Dept Civil Engn, Pittsburgh, PA 15213 USA
[2] Stanford Univ, Ctr Integrated Facil Engn, Stanford, CA 94305 USA
[3] Stanford Univ, Dept Civil & Environm Engn, Stanford, CA 94305 USA
关键词
construction methods; workspace; scheduling; construction management;
D O I
10.1061/(ASCE)0733-9364(2002)128:4(296)
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Construction activities require a set of work spaces to be executed safely and productively. The locations and volumes of these spaces change in three dimensions and across time, according to project-specific design and schedule information. Previous research on construction space management requires users to specify the spatio-temporal data necessary to represent each project-specific space needed for construction. Since a construction schedule consists of hundreds of activities requiring multiple types of spaces, this approach is practically infeasible. There is a need for a generic (project-independent) representation of work spaces, from which the project-specific instances of spaces can be derived automatically based on project-specific design and construction schedule information. This paper formalizes such a generic space description as a computer-interpretable ontology. This ontology is general, reusable, and comprehensive. A prototype system developed uses this ontology to capture the spatial requirements associated with construction methods and to automate the generation of project-specific spaces represented in three dimensions and across time.
引用
收藏
页码:296 / 305
页数:10
相关论文
共 45 条
  • [11] CHOO HY, 1999, P IGLC, V7, P299
  • [12] Claus B., 1998, Spatial Cognition. An Interdisciplinary Approach to Representing and Processing Spatial Knowledge, P241
  • [13] Qualitative representation of positional information
    Clementini, E
    DiFelice, P
    Hernandez, D
    [J]. ARTIFICIAL INTELLIGENCE, 1997, 95 (02) : 317 - 356
  • [14] Darwiche A., 1988, AI EDAM, V2, P169, DOI DOI 10.1017/S0890060400000639
  • [15] POINT-SET TOPOLOGICAL SPATIAL RELATIONS
    EGENHOFER, MJ
    FRANZOSA, RD
    [J]. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SYSTEMS, 1991, 5 (02): : 161 - 174
  • [16] FOWLER M, 1999, UML DISTILLED
  • [17] Freksa C., 1998, SPATIAL COGNITION IN
  • [18] Halpin D. W., 1992, Planning and Analysis of Construction Operations
  • [19] EvoSite: Evolution-based model for site layout planning
    Hegazy, T
    Elbeltagi, E
    [J]. JOURNAL OF COMPUTING IN CIVIL ENGINEERING, 1999, 13 (03) : 198 - 206
  • [20] HETRICK M, 1987, 5 PENN STAT U DEP AR