Open AccessBIM-based sensors technologies implemented in the construction site: protocol for a systematic review
Author(s) -
Adeeb Sidani,
J. Duarte,
J. Santos Baptista,
Mário Vaz,
João Poças Martins,
Alfredo Soeiro
Publication year - 2021
Publication title -
international journal of occupational and environment safety
Language(s) - English
Resource type - Journals
ISSN - 2184-0954
DOI - 10.24840/2184-0954_005.001_0003
Subject(s) - usability , building information modeling , protocol (science) , systems engineering , field (mathematics) , reliability (semiconductor) , computer science , construction engineering , engineering , systematic review , construction management , engineering management , software engineering , human–computer interaction , civil engineering , operations management , scheduling (production processes) , medicine , power (physics) , physics , alternative medicine , mathematics , medline , pathology , quantum mechanics , law , pure mathematics , political science
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.