An Optimization Model of UAV-aided Searching Procedures for Mountain Rescue

山地救援无人机辅助搜索流程优化模型

• 批准号: 2595814
• 金额: --
• 依托单位: Newcastle University
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2595814
• 关键词: Optimization; Model; UAV; aided; Searching

Unmanned aerial vehicles (UAVs) have been considered as cost-effective and flexible remote sensing platforms in scenarios like natural disaster monitoring, vegetation mapping and mountain rescue. In the field of mountain rescue, one of the critical problems comes from the lack of evidence or empirical data to measure or qualify the effectiveness of mountain rescue UAV-aided operations due to the number of variables. This research aims to investigate and develop a systematic UAV-aided searching model in mountain rescue based on the existing modelling techniques, such as the Monte Carlo tree search algorithm, global sensitivity analysis, and co-simulation. Another main research focus is finding the primary factors for both detection probabilities and effective sweep width from the current state-of-art in search theories. Once the UAV-aided mountain rescue model is developed, it will be used to run a series of virtual field trials and practical mountain rescue standard operating procedures.The potential applications of this research mainly come from two aspects. First, we will design and introduce a searching model, which summarises and lists a series of critical factors in UAV-aided mountain rescue operations. The second contribution is providing UAV operating procedures for search and rescue teams, including detailed rescue strategies, path planning trajectories, recommended object detection algorithms and other associated technical guidance. The mountain rescue standard operating procedures aim to provide specific UAV related advice and recommendation to the mountain rescue teams.

无人驾驶飞行器（UAV）被认为是自然灾害监测、植被测绘和山地救援等场景中具有成本效益和灵活性的遥感平台。在山地救援领域，由于变量众多，缺乏证据或经验数据来衡量或量化山地救援无人机辅助行动的有效性是一个关键问题。本研究的目的是研究和开发一个系统的无人机辅助搜索模型在山区救援现有的建模技术，如蒙特卡洛树搜索算法，全局灵敏度分析，协同仿真的基础上。另一个主要的研究重点是从当前最先进的搜索理论中找到影响检测概率和有效扫描宽度的主要因素。一旦无人机辅助山地救援模型被开发出来，它将被用来运行一系列的虚拟现场试验和实用的山地救援标准操作程序。首先，我们将设计和介绍一个搜索模型，总结和列出了一系列的关键因素，在无人机辅助山地救援行动。第二个贡献是为搜索和救援团队提供无人机操作程序，包括详细的救援策略，路径规划轨迹，推荐的目标检测算法和其他相关技术指导。山地救援标准作业程序旨在向山地救援队提供具体的无人机相关咨询和建议。