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Level: Advanced
TCM Section(s):
10.1. Project Performance Assessment
9.2. Progress and Performance Measurement
Venue: 2021 AACE International Conference & Expo
Abstract: Construction progress data are traditionally captured by individuals through manual efforts such as taking notes on a schedule print-out during site-walks. The quality and accuracy of the progress data collected manually depends on individuals' observation skills, experiences and semi-quantitative interpretations. In the absence of supportive visual data such as photos and video footage, the manually collected data cannot be peer reviewed or audited by others, thus remains as the single source of truth. In addition to being open to human errors and subjective interpretations, the traditional process of capturing construction progress data and updating project status can be complex, time-consuming, and misleading towards incorrect conclusions, regardless project size, type and delivery method. Even though commercially available hardware and software technologies offer automation and standardization in construction progress monitoring, they possess limitations and are not widely adopted. This paper aims to review both academic research and applications in the industry for new technological developments and recent evolution of existing technologies that relate to automated construction progress monitoring. The paper synthesizes the parallelism between academia and the industry, compares differences, and finally discusses the future trends.
Level: Advanced
TCM Section(s):
10.1. Project Performance Assessment
9.2. Progress and Performance Measurement
Venue: 2021 AACE International Conference & Expo
Abstract: Construction progress data are traditionally captured by individuals through manual efforts such as taking notes on a schedule print-out during site-walks. The quality and accuracy of the progress data collected manually depends on individuals' observation skills, experiences and semi-quantitative interpretations. In the absence of supportive visual data such as photos and video footage, the manually collected data cannot be peer reviewed or audited by others, thus remains as the single source of truth. In addition to being open to human errors and subjective interpretations, the traditional process of capturing construction progress data and updating project status can be complex, time-consuming, and misleading towards incorrect conclusions, regardless project size, type and delivery method. Even though commercially available hardware and software technologies offer automation and standardization in construction progress monitoring, they possess limitations and are not widely adopted. This paper aims to review both academic research and applications in the industry for new technological developments and recent evolution of existing technologies that relate to automated construction progress monitoring. The paper synthesizes the parallelism between academia and the industry, compares differences, and finally discusses the future trends.