The effective maintenance of government-owned housing is critical for sustaining public infrastructure, yet many developing countries face challenges with reactive, unstructured, and digitally unsupported maintenance systems, leading to inefficiencies and increased costs. This research addresses this gap by proposing and developing an integrated maintenance system that combines work breakdown structure (WBS), Building Information Modeling (BIM), and Internet of Things (IoT) technologies. WBS provides a hierarchical framework for organizing maintenance tasks, BIM offers a digital representation for visualization and data management, and IoT enables real-time monitoring and responsiveness through sensors.
A web-based prototype, CIVIoT, was developed to demonstrate the practical application of this integration. The system features a five-layered architecture-application, visualization, data processing, network, and sensing-allowing users to interact with 3D facility models, manage WBS tasks, and control IoT devices in real time. This triadic integration transforms maintenance from a reactive to a predictive and structured digital system, improving health, safety, comfort, and convenience. The findings underscore that while technological integration is crucial, organizational policies, budgeting, and clear role definitions are equally vital for successful implementation and broader goals of transparency and sustainability in public asset management. This scalable model offers a robust framework for smart maintenance in similar infrastructure environments.