Digital Transformation of the Design, Construction and Management Processes of the Built Environment

This open access book focuses on the development of methods, interoperable and integrated ICT tools, and survey techniques for optimal management of the building process. The construction sector is facing an increasing demand for major innovations in terms of digital dematerialization and technologies such as the Internet of Things, big data, advanced manufacturing, robotics, 3D printing, blockchain technologies and artificial intelligence. The demand for simplification and transparency in information management and for the rationalization and optimization of very fragmented and splintered processes is a key driver for digitization. The book describes the contribution of the ABC Department of the Polytechnic University of Milan (Politecnico di Milano) to R&D activities regarding methods and ICT tools for the interoperable management of the different phases of the building process, including design, construction, and management. Informative case studies complement the theoretical discussion. The book will be of interest to all stakeholders in the building process – owners, designers, constructors, and faculty managers – as well as the research sector

AI Knowledge Transfer from the University to Society

AI Knowledge Transfer from the University to Society: Applications in High-Impact Sectors brings together examples from the "Innovative Ecosystem with Artificial Intelligence for Andalusia 2025" project at the University of Seville, a series of sub-projects composed of research groups and different institutions or companies that explore the use of Artificial Intelligence in a variety of high-impact sectors to lead innovation and assist in decision-making. Key Features Includes chapters on health and social welfare, transportation, digital economy, energy efficiency and sustainability, agro-industry, and tourism Great diversity of authors, expert in varied sectors, belonging to powerful research groups from the University of Seville with proven experience in the transfer of knowledge to the productive sector and agents attached to the Andalucía TECH Campu

An Information Exchange Framework For BIM, BAS, And IoT Data Using Semantic Web Technologies

With digital technologies like Building Information Modeling (BIM), Internet of Things (IoT), and Building Automation System (BAS), an increasing amount of data is being created. Data silos in Architecture Engineering and Construction (AEC) industry emerged. The isolation between BIM-based building contextual information, IoT devices’ time-series data, and BAS metadata still exist. This research aims to develop a framework to facilitate information exchange between BIM-based building contextual data, IoT devices’ time-series data, and BAS metadata using Semantic Web technology. This research: i) conducts a comprehensive literature review on BIM and IoT integration based on domains of application and integration methods to summarized an optimal current approach; ii) proposes a framework which enables information exchange among semantically described building contextual data, BAS metadata, and time-series data; iii) the proposed framework uses BOT and BRICK schema to describe building contextual data and BAS metadata; iv) creates an MVD for BIM assisted BAS design and information exchange using BACnet and IFC use case; v) validates the framework with the use case and data from Georgia Tech campus buildings.Ph.D