Digital Twin Based Smart Building Management System

Authors

  • Mrs. M. Sandhya Rani Assistant Professor; Department of Electronics and Communication Engineering, Lords Institute of Engineering and Technology, Hyderabad, Telangana, India. Author
  • Mahima Tennyson B.E.Students; Department of Electronics and Communication Engineering, Lords Institute of Engineering and Technology, Hyderabad, Telangana, India. Author
  • Madhu B.E.Students; Department of Electronics and Communication Engineering, Lords Institute of Engineering and Technology, Hyderabad, Telangana, India. Author
  • Aravind B.E.Students; Department of Electronics and Communication Engineering, Lords Institute of Engineering and Technology, Hyderabad, Telangana, India. Author
  • Chandra sekhar B.E.Students; Department of Electronics and Communication Engineering, Lords Institute of Engineering and Technology, Hyderabad, Telangana, India. Author

DOI:

https://doi.org/10.63665/6gdbbv54

Keywords:

Digital Twin, Smart Building Management, Internet of Things (IoT), Raspberry Pi, Real-Time Monitoring, Building Automation, ThingSpeak, GSM Communication

Abstract

Transforming smart building management into a digital twin technology is operational efficiency and safety enhancement. This paper presents a digital smart building management system comprising an Raspberry Pi Model designed to successfully achieve communication between sensors and device-related activities. Focused features include gas detection alerts, theft detection based on vibration, air quality monitoring (MQ135), occupancy detection (IR sensors), adaptive lighting control (LDR), and temperature/humidity control via DHT11. Early hazard detection is ensured from fire sensors.

Real-time data processing with ThingSpeak integrated it contributed to continuous real-time monitoring. Emergency response would thus use a GSM module. The L293D driver controlled ventilation with both a CPU fan and DC motor. Feedbacks are relayed via real time on an oLED display too. This is a truly reliable, efficient, and safe building management system made possible through integrating digital twin technology with an IoT-based automation mechanism.

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Published

2026-06-15

Issue

Vol. 2 No. 2 (2026): April-June (In Press)

Section

Articles

License

Copyright (c) 2026 Authors

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite

Mrs. M. Sandhya Rani, Mahima Tennyson, Madhu, Aravind, & Chandra sekhar. (2026). Digital Twin Based Smart Building Management System. International Journal of Artificial Intelligence and Computer Electronics, 2(2), 36-44. https://doi.org/10.63665/6gdbbv54