Architectural and Software Model of an IoT System for Elevator Maintenance Monitoring and Management

Abstract

The article presents an architectural and software model of an IoT-based system for monitoring and managing elevator maintenance, which integrates data collection, processing, and analytics in real time. The proposed system is built on sensor nodes that transmit equipment operation parameters via the MQTT protocol to a central server, where data are stored in dynamic databases and subsequently analyzed within a CRM platform environment. The developed architecture ensures structured interaction between the hardware layer, system software, and the user interface of the control dashboard. The study describes the functionality of the control panel, including the scheduling of maintenance inspections, management of defect reports, protocol archiving, and statistical analysis of equipment performance. Experimental modeling confirmed the system’s effectiveness in reducing fault response time and improving the accuracy of elevator technical condition diagnostics. The integration of IoT technologies and CRM solutions enables a transition from preventive to predictive maintenance, thereby enhancing operational reliability and safety