Designing automated digital safety systems for building health monitoring on construction sites

Abstract

Uncertainties in construction projects clarify a central problem in risk assessment and safety control of the background building construction during their lifecycles. Digital safety systems are presented for building an operated diffusion center for gathering information and possibly developing a digital twin in the safety construction management process. The essential technologies were reviewed and investigated to select proper systems that aim to automate the safety process with good information gathering. First, in this study, the role of digital-system elements is examined in shaping a diffusion center for gathering information and seeking to model integrated safety information. Then, it offers the data-physics-driven model for automating digital safety systems processes in minitoring construction site health and safety. A multi-criteria decision analysis is used to sort the alternatives. The results demonstrate that the selected technologies are required to gather enough information to shape a diffusion center for automating the safety process in construction management and building health monitoring. The results show that the model assumption has been validated by the value of “1.684” as the table value of T 95% confidence interval for all components. Additionally, an investigation into the Tehran municipality region demonstrated the applicability and usefulness of the method in practical settings. Furthermore, the selected digital safety strategy in collaboration with SEI/ASCE 7-02 has been proven to be implementable for all types of buildings mentioned in this study. The findings demonstrate that the methodology employed in this study can be used as a reliable tool for ensuring the safety of buildings. This study also identifies the pre-construction period (PrCP) as a primitive emergency for creating safety values for all types of buildings. The estimated values for very high importance, high importance, and medium importance buildings are in order 34%, 35%, and 31%, respectively, and also indicating that the PrCP can be the most safety data-driven stage of construction.

Graphical abstract

Keywords

safety management system / construction safety management / digitalized systems / technique for order of preference by similarity to ideal solution / decision making

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