BIM-based sensors technologies implemented in the construction site: protocol for a systematic review

• Type: Article in International Scientific Journal
• Date: 2021

Authors

Adeeb Sidania (Author) Other; Joana Duarte (Author) FEUP; João Santos Baptista (Author) FEUP; Mário Vaz (Author) FEUP; João Poças Martins (Author) FEUP; Alfredo Soeiro (Author) FEUP

Journal

Title: International Journal of Occupational and Environmental Safety

Vol. 42

Pages: 25-31

ISSN: 2184-0954

Publisher: FEUP - Sociedade Portuguesa de Segurança e Higiene Ocupacionais

Scientific classification

CORDIS: Technological sciences

FOS: Engineering and technology

Other information

Authenticus ID: P-00T-TZ5

DOI: 10.24840/2184-0954_005.001_0003

Abstract (EN): <jats:p>Building Information Modelling (BIM) is used in construction projects to improve efficiency. In general, it improves project management and monitoring, reduces time and costs, strengthens collaboration among stakeholders, and reduces risks and injuries. Sensor technologies with various functionalities are being implemented in the construction site. Technologies such as tracking workers and transmitting real-time site inspections to support the BIM tools in various fields are being used. To evaluate sensor technologies¿ usability and effectiveness in Architecture, Engineering, Construction and Operations (AECO) sector, a literature review adapting PRISMA Statement is proposed. Consequently, this document represents a complementary manuscript as a PRISMA Protocol (PRISMA-P). Relevant articles are collected from top electronic databases in the construction field. This review aims to investigate the sensor connected BIM models and the technologies being utilised in the AECO sector, investigating the targeted groups, construction field, and the system architectures being used. Furthermore, the study will examine the case studies of the implemented sensors to evaluate each technology¿s effectiveness. Finally, the reliability of the tools and future proposals is projected.</jats:p>

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 7