A novel automatic process for construction progress tracking based on laser scanning for industrial plants

Jian Chai, Hung-lin Chi, Xiangyu Wang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)


As-built modelling has potentials in progress tracking and quality control in industrial plants construction. Although noted work has been conducted, there remain gaps in sophistication of automation and the extent of recognition for semantic information during the process is low. This paper developed a new modelling process for industrial components to fill in these gaps by incorporating 3D object recognition and graph matching techniques. The new process firstly groups the point cloud data of industrial components into geometric primitives. The process is also developed to recognize industrial components by matching connection graph, which is retrieved from geometric primitives, of as-built model with that of as-designed model. Furthermore, the tracking process is able to identify schedule delays by deviation analysis between as-built and as-designed model. A pilot study is carried out and proves that the developed process enables as-built modelling with semantic information and automatic construction progress tracking. Results show that the developed method is promising in saving time and labor cost during construction.
Original languageEnglish
Title of host publicationCooperative Design, Visualization, and Engineering - 12th International Conference, CDVE 2015, Proceedings
PublisherSpringer Verlag
Number of pages9
ISBN (Print)9783319241319
Publication statusPublished - 1 Jan 2015
Externally publishedYes
Event12th International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2015 - Mallorca, Spain
Duration: 20 Sep 201523 Sep 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference12th International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2015


  • 3D object recognition
  • As-built modelling
  • Construction progress tracking
  • Graph matching
  • Laser scanning
  • Total life cycle support

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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