Automated Mining of Construction Schedules for Easy and Quick Assembly of 4D BIM Simulations

Wilfredo Torres-Calderon, Yumo Chi, Fouad Amer, Mani Golparvar-Fard

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Over the past two decades, hundreds of studies have been published that demonstrate the benefits of 4D building information modeling (BIM) for optimizing construction planning and scheduling. Nonetheless to date, 4D BIM has only been adopted by 35-40% of top engineering news-record (ENR) companies and only used on a small fraction of their projects. The longevity of using 4D BIM also rarely outlasts the pre-construction phase. While the value associated with using 4D BIMs during the construction phase is well documented, the level of effort required to create them has significantly impacted perceptions about their return of investment (ROI) and limited their adoption. To address these inefficiencies, this paper presents a new method - comprised of text mining and machine learning (ML) techniques. Our method parses the description of construction schedule activities, assembles a breakdown structure of work locations/areas, and maps each activity to its corresponding 3D BIM element. Our method also labels each activity to a project phase such that these activities can be animated with different visual cues. Experiment results on 10 real-world construction projects show that the method achieved 89% accuracy in the parsing task. The benefits of the proposed method are discussed in detail.

Original languageEnglish (US)
Title of host publicationComputing in Civil Engineering 2019
Subtitle of host publicationVisualization, Information Modeling, and Simulation - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019
EditorsYong K. Cho, Fernanda Leite, Amir Behzadan, Chao Wang
PublisherAmerican Society of Civil Engineers
Pages432-438
Number of pages7
ISBN (Electronic)9780784482421
DOIs
StatePublished - 2019
EventASCE International Conference on Computing in Civil Engineering 2019: Visualization, Information Modeling, and Simulation, i3CE 2019 - Atlanta, United States
Duration: Jun 17 2019Jun 19 2019

Publication series

NameComputing in Civil Engineering 2019: Visualization, Information Modeling, and Simulation - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019

Conference

ConferenceASCE International Conference on Computing in Civil Engineering 2019: Visualization, Information Modeling, and Simulation, i3CE 2019
CountryUnited States
CityAtlanta
Period6/17/196/19/19

ASJC Scopus subject areas

  • Computer Science(all)
  • Civil and Structural Engineering

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  • Cite this

    Torres-Calderon, W., Chi, Y., Amer, F., & Golparvar-Fard, M. (2019). Automated Mining of Construction Schedules for Easy and Quick Assembly of 4D BIM Simulations. In Y. K. Cho, F. Leite, A. Behzadan, & C. Wang (Eds.), Computing in Civil Engineering 2019: Visualization, Information Modeling, and Simulation - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019 (pp. 432-438). (Computing in Civil Engineering 2019: Visualization, Information Modeling, and Simulation - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019). American Society of Civil Engineers. https://doi.org/10.1061/9780784482421.055