Accumulation and classification of smart living framework from academic studies and real sector

Name: Suchanad Phuprasoet

Organization : Chulalongkorn University. Faculty of Architecture

Email : ping_phuprasert@hotmail.com

Name: Terdsak Tachakitkachorn

Organization : Chulalongkorn University. Faculty of Architecture

Email : Terdsak.t@chula.ac.th

Name: Kaweekrai Srihiran

Organization : Chulalongkorn University. Faculty of Architecture

Email : Kaweekrai.s@chula.ac.th

LCSH: Structural frames

LCSH: Smart cities

LCSH: Home automation

LCSH: Sustainable development

LCSH: Internet of Things

Abstract: Information & Communication Technologies (ICTs) and Internet of Things (IoTs) are fundamental technologies of Industry 4.0. The technologies can be globally used to manage several fields. Due to 56% of the world's population living in cities nowadays, the management of Smart city projects over the World is increasingly getting attention. Integrating ICTs and IoTs with the electricity grid in a smart city creates alternative solutions for energy management and helps to increase the amount of energy saving in cities. This way of integration not only helps to handle urbanization and climate changes but also improves the citizens’ all aspects of quality of life, which is called ‘Smart living’. Smart living in an aspect of housing quality, also began to integrate IoTs into Smart buildings or Smart homes to enhance the quality of life. A Smart living idea is widely known but still lacks comprehensive and up-to-date data accumulation and classification to create a Smart living framework in an aspect of housing quality, used as the tool for considering several dimensions of Smart living projects from the real sector. This research aims to accumulate and classify the Smart living framework, which is comprehensive and applicable nowadays. A research methodology based on guidelines for performing systematic literature reviews. The researcher screened up to 30 academic studies about Smart buildings or Smart homes in a literature review. Academic studies that have proposed the kind of guidelines, main criteria, indicators, or conceptual models of Smart homes, Smart buildings, or Smart living, and have been published within five years were selected. Subsequently, data exploration, accumulation, and classification of similar keywords relating to Smart living have been done respectively. Later, the researcher refines the details and synthesizes the Smart living framework used to consider Smart living projects from the real sector. The result showed that the Smart living framework could be classified into 2 classes; Management and Enhancement. This Smart living framework includes 9 criteria and 32 indicators, and findings of gaps in Smart living studies were found. In this paper, academic studies have conceptual Smart living frameworks as guidelines, which are more comprehensive than the real sector. In other words, the real sector will not be able to completely follow academic studies until the levels of technological advancement can support them.

King Mongkut's University of Technology North Bangkok. Central Library

Address: BANGKOK

Email: library@kmutnb.ac.th

Created: 2023

Modified: 2024-04-10

Issued: 2024-04-10

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BibliograpyCitation : In Chulalongkorn University. 5th International Conference on Civil and Building Engineering Informatics (ICCBEI 2023) (pp.494-500). Bangkok : Chulalongkorn University

eng

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