A Digital Twin–Based Carbon Footprint Monitoring System

Le résumé fourni par la source

Carbon emissions increase and affect the environment, and its monitoring and analysis in real time become important. The aim of this work is to develop carbon footprint monitoring system based on digital twin combining Internet of Things (IoT)–based sensors and cloud computing with real-time visualization. Gas sensors (MQ-135, MQ-7) and current, voltage, and temperature sensors are used by the model to sense the carbon emission and send the readings to an IoT beginner by using cloud-based protocol. A Python-based digital twin interface fetches the value of the sensor from the cloud, processes the information, and provides a graphical view of the emission levels. This approach would help in decision-making and would be a step toward environmental sustainability. It provides a practical solution to the industries and smart cities to manage their carbon footprints.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.