Abstract

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.

Highlights

  • Construction industries tend to have a dynamic and complex working environment

  • This review aims to investigate the sensor connected Building Information Modelling (BIM) models and the technologies being utilized in the AECO sector, investigating the targeted groups, construction field, and the system architectures being used

  • Construction safety is an international concern, with many injuries occurring in construction sites worldwide (Zhang, Teizer, Lee, Eastman, & Venugopal, 2013)

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Summary

INTRODUCTION

Construction industries tend to have a dynamic and complex working environment. safety and work efficiency are often inadequate (Zhang, Teizer, Pradhananga, & Eastman, 2015). To assist the supervisors and visual inspection of the onsite risks, automated safety monitoring such as using Building Information Modelling (BIM) is being adopted by the Architecture, Engineering and Construction (AEC) industry (Eleftheriadis, Mumovic, & Greening, 2017). BIM as a stand-alone tool cannot acquire real-time data, identify hazardous zones, monitor construction site, and help with the inspection. Particular technologies such as sensors and tracking devices are being deployed on-site to acquire real-time data (Carbonari, Naticchia, Giretti, & De Grassi, 2009). No review has been conducted on BIM sensors and the Digital Twin models in the construction industry. Paving the way for further investigation in this area, allowing the development of state-of-the-art sensors to target the Architectural, Engineering, Construction and Operations (AECO) sector's worker's health and safety of the workers

Objectives
Eligibility criteria
Participants
Information sources
Search strategy
Study records
Confidence in cumulative evidence
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