A novel wildfire digital-twin framework using interactive wildfire spread simulator

a wildfire is a serious disaster to destroy an ecosystem and to lose a life of humans. A wildfire simulation can help to reduce damages by supporting a wildfire spread prediction. The existing wildfire simulations have a limitation for exactly predicting actual wildfire spreads because it is difficult and complex to preform simulating with reflecting dynamically changing environmental parameters. Therefore, this paper proposes a novel wildfire digital-twin framework using interactive wildfire spread simulator. The framework is designed to give a wildfire-twin including a wildfire simulator the sensing data gathered from oneM2M IoT server and make the digital twin wildfire prediction.

• Publication year

  2019

• Venue

  International Conference on Ubiquitous and Future Networks

• Publication date

  2019-07-01

• Fields of study

  Computer Science, Environmental Science

• Identifiers
  DOI 10.1109/ICUFN.2019.8806107
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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