4D modeling of large industrial projects using spatio-temporal decomposition.

4D modeling of large industrial projects using spatio-temporal decomposition.


V.A. Semenov, K.A. Kazakov, S.V. Morozov, O.A. Tarlapan, V.A. Zolotov, T. Dengenis


There has been a growing interest in the emerging technology of four-dimensional modelling and planning of industrial projects. In comparison with traditional 3D CAD and project management systems, 4D modelling provides for more comprehensive visual analysis of the projects. As free and commercial applications are becoming more accessible, numerous attempts to employ it in different industrial domains and programs are undertaken. Nevertheless, most applications are faced with the fundamental problem of the performance degradation at large-scale projects. In this paper we discuss an approach to 4D modelling using spatio-temporal decomposition and providing special facilities to effectively access project data and to execute typical requests relevant to given time and space domains. Three partitioning schemas are presented and analysed to satisfy performance requirements. The schemas exploit peculiarities of spatial and temporal coherence of pseudo-dynamic scenes appearing in 4D modelling and planning applications. Theoretical complexity estimates are given to prove the suitability of the schemas for efficient modelling of large industrial projects.


eWork and eBusiness in Architecture, Engineering and Construction, ECPPM 2010 Proceedings. Publisher: CRC Press, Taylor & Francis Group, 2010. Pp. 69-78.

Research Group

System integration and multi-disciplinary collaborative environments

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