Publications / 2019 Proceedings of the 36th ISARC, Banff, Alberta, Canada

Government Open Data and Sensing Data Integration Framework for Smart Construction Site Management

Chiu-Ming Lee, Wei-Liang Kuo, Tzu-Jan Tung, Bo-Kai Huang, Shu-Hsiang Hsu and Shang-Hsien Hsieh
Pages 1261-1267 (2019 Proceedings of the 36th ISARC, Banff, Alberta, Canada, ISBN 978-952-69524-0-6)
Abstract:

This paper proposes a cloud-based data management framework that integrates open data from the government and monitoring data from construction site sensors. The integrated data can be consumed by artificial intelligence for smart construction project management, e.g. schedule control, resource arrangement and workersÂ’ safety. The framework includes two major parts: one is the IoT (Internet of Things) sensors and edge computing devices for collecting data from a construction site; the other one is a cloud database with Autodesk Forge for managing 3D Building Information Modeling (BIM) model information and government open data. In addition, web-based management interface and information dashboard for desktop computers and App software for hand held devices are provided for users to easily manage, query, and visualize the integrated data. Because weather and environmental conditions often affect management of a construction site, the proposed framework is prototyped for a feasibility test to see how the integration of Taiwan government open weather/environmental data and construction site monitoring data can be implemented and helpful for construction site management.

Keywords: BIM; Construction; Data Integration; Internet of Things; Edge computing; Data distribution Service