%A Huaiyu ZHOU, Hailong LIU %T IoT-Based Operational Information Management for Built Landscape Projects: From Vacancy to Approaches %0 Journal Article %D 2021 %J Landsc. Archit. Front. %J Landscape Architecture Frontiers %@ 2096-336X %R 10.15302/J-LAF-0-030003 %P 83-95 %V 9 %N 2 %U {https://journal.hep.com.cn/laf/EN/10.15302/J-LAF-0-030003 %8 2021-04-15 %X

With the rapid advance of digital technology under the fourth industrial revolution, digital landscape and smart landscape architecture have gradually become the research hot spots in design professions. The Internet of Things (IoT), as an emerging digital tool, has shown great potential to assist operational information modeling for built landscape projects. This article, focusing on the post-operation for built projects, deliberates IoT-based approaches to operational information management (OIM) through vacancy analysis and literature review. It first argues that OIM’s main goals are performance evaluation and refined management, and points out the absence of effective monitoring tools for ecological performance and dynamic modeling tools for data storage, analysis, and visualization. Combing with existing cases, it also demonstrates and summarizes the methods for IoTbased ecological performance monitoring and dynamic information modeling, as well as the principles for related application. In addition, landscape architects and project managers should pay attention to emerging research trends of IoT technology, and more importantly, emphasize authentic application scenarios to avoid blind practice. As for the future of Landscape Architecture, this article attempts to reveal the profession development trajectory that technological upgrade leads to demand upgrade, which will also bring about changes in landscape architects’ contemporary mission and the methods for talent training, and about the innovations of landscape design and research tools.