Scaffolding progress monitoring of LNG plant maintenance project using BIM and image processing technologies

Hung-lin Chi, Jian Chai, Changzhi Wu, Junxiang Zhu, Chongyi Liu, Xiangyu Wang

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

3 Citations (Scopus)


Scaffolding tasks are the most significant workitems in Liquefied Nature Gas (LNG) plant maintenance projects and an effective progress monitoring approach can be beneficial to stakeholders through the better control to the budget and schedule of the entire project. This research is focused on discussing findings and lesson learnt from the scaffolding progress monitoring case study of a LNG plant maintenance project. A novel approach by using Building Information Modelling (BIM) and image processing technologies to automatically estimate scaffolding progress through site photos is being developing. The case study by adopting the developing approach at a real LNG plant is currently carried on. The collected scaffolding photos have been used to iteratively improve the developing approach. The plan of the case execution is outlined and introduced in the paper including the development of an image recognition algorithm for scaffolding progress estimations and a Navisworks plug-in for productivity analysis in terms of cost and schedule. By going through site data collections, observations, data analysis and discussions with related contractors and the operator at site, the feasibility of the approach adoption and related implementation issues are identified. The feedback from industry partners can be summarized into five perspectives: (1) the complexity of scaffolding structure affects the performance of the proposed recognition algorithm a lot; (2) the proposed approach is considered reliable if the average accuracy of the progress estimation can be slightly higher than that of the conventional way; (3) a guideline for data collection process is necessary; (4) reduce site work and shift the work load back to the office is preferred and; (5) the proposed approach benefits implementation contractors the most. It is expected that these findings among the ongoing study can further adjust the development direction and identify following studies for the proposed approach in the future.
Original languageEnglish
Title of host publication5th International Conference on Research and Innovation in Information Systems
Subtitle of host publicationSocial Transformation through Data Science, ICRIIS 2017
PublisherIEEE Computer Society
ISBN (Electronic)9781509030354
Publication statusPublished - 3 Aug 2017
Externally publishedYes
Event5th International Conference on Research and Innovation in Information Systems, ICRIIS 2017 - Adya Hotel, Langkawi, Kedah, Malaysia
Duration: 16 Jul 201717 Jul 2017


Conference5th International Conference on Research and Innovation in Information Systems, ICRIIS 2017
CityLangkawi, Kedah


  • Building information modelling
  • Image processing
  • LNG plant
  • Maintenance
  • Scaffolding

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Human-Computer Interaction
  • Information Systems

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