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.

翻译：澳大利亚的野火使人民遭受毁灭性灾害造成的损失。为了保护人民的安全以及国家在脆弱局势中的发展,预计我们将建立一套高效和可持续的消防应对机制,并解决面临的问题,包括优化无人驾驶飞机的装载量和数量、模型的时间适应性以及无线摧毁无人机的位置。我们确定了进行无人驾驶飞机发射和部署救援人员的移动应急行动中心的位置。在查明了EOC所在地之后,我们可以建立无人机规划和规划预算编制模型,以探测无人机的配置,包括SSA无人机和无线电重复式无人机的最佳数量和组合。为了估计未来10年我们模型的适应性,我们建造了霍尔特-冬季季节性模型。我们使用Droones部署Optimin化模型优化了高频/超高频无线电重复式无人机的悬浮位置。此外,还测试了该模型的灵敏度分析。