Wildfire Risk Assessment and Detection for Remote Terrain
Many remote powerlines do not have enough wildfire surveillance to enable preventive or mitigation measures, resulting in massive destruction in the incidence of wildfires hitting powerlines. This project seeks to build a multi-sensor-based embedded system that monitors wildfire-related weather conditions to assess the risk and alert the appropriate fire management team, via a wireless data transfer protocol in case of outbreaks. The design of the system will prove useful at power stations where other safety features are incorporated to reduce the occurrences of fires. The embedded system works based on a Hot-Dry-Windy index that monitors fire weather conditions that directly affect the spread of wildfires.
Authors
- Jennifer Blain Christen (ORCID: https://orcid.org/0000-0002-4980-5577)
- Randy Essikpe
Institutions
- Arizona State University (US)
Publication Details
- Published
- 2024-08-11
- DOI
- https://doi.org/10.1109/mwscas60917.2024.10658939
- Primary Topic
- Fire effects on ecosystems
- Type
- article
- Field-Weighted Citation Impact
- 0.00