Research Article
An Approach to Environmental Study from Observations and Sensing Towards a Digital Twin
@INPROCEEDINGS{10.1007/978-3-031-44668-9_20, author={Rossitza Goleva and Alexandar Savov and Vasko Tomanov and Valentin Monov and Zhivka Koleva and Radosveta Sokullu and Hristina Kostadinova and Svetoslav Mihaylov and Nuno Garcia}, title={An Approach to Environmental Study from Observations and Sensing Towards a Digital Twin}, proceedings={Computer Science and Education in Computer Science. 19th EAI International Conference, CSECS 2023, Boston, MA, USA, June 28--29, 2023, Proceedings}, proceedings_a={CSECS}, year={2023}, month={10}, keywords={Sensors Digital Twins Data Sharing Edge Dew Fog Cloud Computing Technologies Risk Analyses Disaster Prediction}, doi={10.1007/978-3-031-44668-9_20} }- Rossitza Goleva
Alexandar Savov
Vasko Tomanov
Valentin Monov
Zhivka Koleva
Radosveta Sokullu
Hristina Kostadinova
Svetoslav Mihaylov
Nuno Garcia
Year: 2023
An Approach to Environmental Study from Observations and Sensing Towards a Digital Twin
CSECS
Springer
DOI: 10.1007/978-3-031-44668-9_20
Abstract
Long-term well-living is highly correlated to the level of environmental studies. Arctic ice melting, global warming, storms, and forest fires occur more and more often. In the process of digitalization of life, a new technology of digital twins is becoming appropriate for better studies and prediction of disasters. Many papers and projects have been focused on wildfires last decade and some of them present the idea of forest fire simulation. In this work, we present an IoT-cloud-digital twin solution where a new sensor for environment sensing is developed, integrated with the drone observations of the area, and feeding the database on the server locally and in the cloud with fresh data from the observation. All data collected in real-time, near-real-time, and non-real-time feed a digital twin model where the fires are simulated. The unique combination of real data and simulated data in the virtual environment allows better prediction of disasters, coordination in prevention procedures, and clear analyses of the risk for the environment and citizens.
