Proactive Construction Project Controls via Predictive Visual Data Analytics

Jacob J. Lin, Mani Golparvar-Fard

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

Abstract

This paper presents a new visual production management system for proactive project controls on construction sites. Taking advantage from the unprecedented growth of visual data on construction sites, the system continuously reconstructs and visualizes reality in form of 4D point clouds and maps it directly within 4D BIM. By putting schedule tasks and project performance data in a visual context for the entire team and mapping Reality to Plan, the system communicates "who does what work in what location", tracks actual progress and productivity at the weekly work plan and the look ahead schedule, and infers top locations at risk for potential delays. To validate the system and its impact on field reporting and project controls practices, a case study is conducted on a building construction project. Results demonstrate that such a system improves coordination and communication by providing transparency in project execution and helps project teams improve reliability of their short term plans.

Original languageEnglish (US)
Title of host publicationComputing in Civil Engineering 2017
Subtitle of host publicationSensing, Simulation, and Visualization - Selected Papers from the ASCE International Workshop on Computing in Civil Engineering 2017
EditorsKen-Yu Lin, Nora El-Gohary, Pingbo Tang
PublisherAmerican Society of Civil Engineers
Pages147-154
Number of pages8
ISBN (Electronic)9780784480830
DOIs
StatePublished - Jan 1 2017
Event2017 ASCE International Workshop on Computing in Civil Engineering, IWCCE 2017 - Seattle, United States
Duration: Jun 25 2017Jun 27 2017

Publication series

NameCongress on Computing in Civil Engineering, Proceedings
Volume2017-June

Other

Other2017 ASCE International Workshop on Computing in Civil Engineering, IWCCE 2017
CountryUnited States
CitySeattle
Period6/25/176/27/17

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Computer Science Applications

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