The Integrated Monitoring System of the Internet of Things Improves the Safety of Steel Structure Residential Prefabricated Building Wall Installation

Abstract

The rapid development of Internet of Things (IoT) has reformed several sectors, providing innovative solutions to improve efficiency, safety, and overall performance. In residential buildings with steel structures (SS), integrating IoT monitoring systems is essential for maintaining the building's structural truthfulness and assuring the safety of its occupants. An integrated observing system is developed for pre-constructed building wall implementation in SS residential structures, incorporating the IoT for security, structural reliability, and operational efficiency. Real-time data on the key parameters (stress, vibration, temperature, etc.), and environmental factors are collected from the IoT sensors and wirelessly transmitted to a cloud-based platform for investigation. The structure uses advanced Machine Learning (ML) methods, such as Anomaly Detection (AD) and predictive modeling, to find trends, detect irregularities, and anticipate potential structural difficulties. Real-time warnings are set when anomalies exceed predetermined safety thresholds, allowing for early intervention and preventing catastrophic failures. The system also integrates cloud-based storage for centralized research and reporting, as well as edge computing for on-site data processing. Findings include the improvement of structural health, reduction in maintenance costs, and provision of valuable insights on long-term building management and safety adherence. KPI methods for proposing finding and analyzing the pre- and post-IoT application results provide measurable insights into performance and support preemptive maintenance strategies for optimal building management.  Research delivers a complete outcome for improving the lifetime and safety of steel residential constructions and domestic prefabricated building wall installation by combining predictive analytics, real-time monitoring, and IoT connection.