A Framework for Self-Inspection Buildings Based on Augmented Reality Agents

Autor: Outay, Fatma, Jabeur, Nafaa, Haddad, Hedi, Bouyahia, Zied
Rok vydání: 2022
Předmět:
Zdroj: COMPUTING AND INFORMATICS; Vol. 41 No. 2 (2022): Computing and Informatics; 479–502
ISSN: 2585-8807
1335-9150
DOI: 10.31577/cai_2022_2_479
Popis: Emergent technologies are being adopted at all the stages of smart building lifecycles. More specifically, mobile, pervasive, and communication technologies are being deployed to achieve a wide range of functions that improve the building performance (including ventilation, air conditioning, heating, lighting, and security) and reduce their related costs. Augmented Reality (AR) has arisen as a promising tool to achieve these goals. However, in spite of the multiple solutions that have integrated AR within smart buildings, several shortcomings are yet to be solved. In addition to the limited user experience and the lack of AR content, current solutions do not provide effective collaborations between construction stakeholders as well as do not include intelligent mechanisms for the management of inspection activities. In order to address some of the smart building challenges, we are proposing in this paper a new framework for intelligent collaborative self-inspection buildings based on the concept of awareness wheel as well as the multi-agent system paradigm.
Databáze: OpenAIRE