A Conceptual Framework of Facility Management with Artificial Intelligence for Sustainable Smart City

Abstract

Most cities under traditional operation mode, which does not use modern communication technologies, are facing urban issues such as energy crisis. To ensure the quality of living in cities, many governments and organizations are coming with different innovative ideas. Recently, the concept of a sustainable smart city has been introduced. Studies have indicated that facility management is the key to achieving sustainability; however, it is challenging to integrate heterogeneous data. The traditional computing tools are inefficient to process big data, and the operating platform for facility management is mostly two dimensional. This research introduces the framework based on GIS-BIM-AI to solve those problems. The framework is applied to energy demand management in the small part of the real city, its prototype is developed, and performance is evaluated where the most important achievement is the development of a smart city operating platform that has single 3D data repository, efficient AI-based urban analytics tools, and powerful 3D visualization with a control centre to visualize, operate and manage facilities. All these features improve the quality of services and citizen’s satisfaction, saves resources, time and cost, enhances transparency,and promote public participation in decision making, which are the core principles for sustainability.