Rapid wildfire response system based on drones
This addresses wildfire management for emergency responders, but appears incremental as it builds on existing drone and optimization methods.
The paper tackles wildfire response by developing a drone-based system that optimizes drone configurations and locations, achieving specific improvements in deployment efficiency through sensitivity analysis.
The wildfires in Australia make people suffer the losses caused by the devastating disasters. To protect people's security and the country's development in vulnerable situations, we are expected to establish a set of efficient and sustainable fire-rescuing response mechanisms and tackle the problems faced, including optimization of loadings and quantity of drones, time adaptability of the model, and the locations of radio-repeater drones. We determined the location of mobile emergency operation centers (EOC), which conduct drone launches and deploy rescue personnel. After figuring out where the EOCs are located, we can establish the Drones Planning-programming Budgeting Model to detect the configuration of drones, including optimal numbers and mix of SSA drones and Radio Repeater drones. To estimate the adaptability of our model in the next ten decades, we build a Holt-Winters seasonal model. We utilize the Drones Deployment Optimization model to optimize the locations of hovering VHF/UHF radio-repeater drones. In addition, sensitivity analysis of the model is tested.