Advanced analysis of drifter experiments using drones to optimize data collection methods and refine flow-field assessment software

使用无人机对漂移实验进行高级分析，以优化数据收集方法并完善流场评估软件

• 批准号: 529643-2018
• 负责人: Joseph, Alain
• 金额: $ 1.82万
• 依托单位: Nova Scotia Community College
• 依托单位国家: 加拿大
• 项目类别: Applied Research and Development Grants - Level 1
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=654858
• 关键词: Advanced; analysis; drifter; experiments; using

Luna Ocean Consulting Ltd. (LOCL) has been researching cost-effective, environmentally friendly methods for mapping tidal and river flow. Traditional methods for hydrokinetic power assessments can be expensive, time consuming, and require advanced training. LOCL's methods are designed to provide accurate measurements while overcoming these challenges in order to assist with moving Canada's energy demands away from fossil fuels and towards clean hydrokinetic power from river and tidal currents. One of LOCL's flow field assessment methods uses aerial images of biodegradable ocean drifters observed by consumer-grade drones to measure current speeds. Proof-of-concept testing was successful, leading to a requirement to advance the accuracy and efficiency of this method through further experimentation and software development. The Nova Scotia Community College's Applied Geomatics Research Group (NSCC-AGRG) is very experienced with aerial imagery and drones in a geomatics environment, and is partnering with LOCL to evaluate and improve drone and drifter data collection methods, and to refine, simplify, and improve the accuracy of LOCL's software. LOCL's program, once improved for accuracy and efficiency, can also be used for other applications such as oil spill preparedness, pollution prevention, and search and rescue. These improvements and expansions will allow LOCL to license their software and expand the services they offer as part of their consulting operations.

Luna Ocean Consulting Ltd.（LOCL）一直在研究成本效益高、环境友好的潮汐和河流流量测绘方法。传统的流体动力学功率评估方法可能是昂贵的，耗时的，并需要先进的培训。LOCL的方法旨在提供准确的测量，同时克服这些挑战，以帮助加拿大的能源需求从化石燃料转向来自河流和潮流的清洁水力发电。LOCL的流场评估方法之一是使用消费级无人机观察到的可生物降解海洋漂流物的航空图像来测量流速。概念验证测试是成功的，导致需要通过进一步的实验和软件开发来提高这种方法的准确性和效率。新斯科舍省社区学院的应用地理信息学研究小组（NSCC-AGRG）在地理信息学环境中的航空图像和无人机方面非常有经验，并与LOCL合作评估和改进无人机和漂流者数据收集方法，并改进，简化和提高LOCL软件的准确性。LOCL的程序，一旦提高了准确性和效率，也可以用于其他应用，如溢油准备，污染预防和搜索和救援。这些改进和扩展将允许LOCL许可其软件并扩展其作为咨询业务的一部分提供的服务。