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.

在自然灾害监测，植被地图和山区救援等场景中，无人驾驶汽车（UAV）被认为是具有成本效益且灵活的遥感平台。在山区救援领域，关键问题之一是由于缺乏证据或经验数据来衡量或符合由于变量数量而导致的山区救援无人机操作的有效性。这项研究旨在根据现有的建模技术（例如蒙特卡洛树搜索算法，全球灵敏度分析和共模拟）来调查和开发山区救援中系统的系统搜索模型。另一个主要的研究重点是发现搜索理论中最新的检测概率和有效扫描宽度的主要因素。一旦开发出无人机山救援模型，它将用于运行一系列虚拟现场试验和实用的山区救援标准操作程序。这项研究的潜在应用主要来自两个方面。首先，我们将设计和介绍一个搜索模型，该模型总结并列出了无用的山区救援行动中的一系列关键因素。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，路径计划轨迹，推荐的对象检测算法和其他相关的技术指导。山区救援标准操作程序旨在为山区救援队提供特定的相关建议和建议。