PASSAGES: Protection & Advanced Surveillance System for the Arctic : Green, Efficient, Secure.

通道（北极保护和先进监视系统：绿色、高效、安全）研究项目的目的是确定使用多种传感器和先进分析技术监测加拿大北极地区航运交通的新方法。随着冰层每年融化的次数越来越多，有可能会有更多的交通流向北方，这些交通与游轮旅游、海底采矿、海上石油和天然气开发等各种活动有关。重要的是使用多种传感器监测交通，无论是陆基、水面、水下还是卫星，以便有关机构能够在海上事故或泄漏或过境非法船只的情况下提前计划。通过这个项目，我们的行业合作伙伴exactEarth有限公司和CASSIDIAN将与德国达尔豪西大学和弗劳恩霍夫研究所的研究人员合作，探索新的传感器技术、分析方法和系统集成选项，从而带来多重好处：为我们的合作伙伴提供该领域新产品和服务的商业机会；加强对加拿大北冰洋的保护，使我们的北部居民受益，并为整个国家增加北部发展的经济机会；多传感器融合和航迹分析领域的新理论发展。Dalhousie大学的具体作用是寻找新的方法来使用改进的融合数据源来创建典型船舶行为、异常检测和流量预测模型的模型。此外，北方航运增加的风险也可以使用这些新信息进行建模，这将有助于平衡保护环境的需要与更充分地开发该地区的动力。我们开发的新方法和新技术也将创造机会，将成果应用于北极其他地区和世界其他地方。

The aim of the PASSAGES (Protection & Advanced Surveillance System for the Arctic : Green, Efficient, Secure) research project is to determine new ways to monitor shipping traffic in the Canadian Arctic using multiple sensors and advanced analytics. As the ice melts more every year, there is the possibility of more traffic up North associated with various activities such as cruise ship tourism, seabed mining, and offshore oil and gas development. It is important to monitor the traffic using multiple sensors, whether land-based, areal, underwater or satellite based, so that the appropriate agencies can plan ahead in case of maritime accidents or spills or transiting illegitimate vessels. Through this project, our industry partners, exactEarth Ltd. and CASSIDIAN, will be collaborating with researchers at Dalhousie University and at the Fraunhofer Institute in Germany to explore new sensor technologies, analysis methods, and systems integration options, resulting in multiple benefits: business opportunities for new products and services in this domain for our partners; improved protection for the Canadian Arctic Ocean benefitting our northern residents and enhancing economic opportunities for northern development for the country as a whole; new theoretical developments in the fields of multi-sensor fusion and shipping pattern analysis. The specific role of Dalhousie University is to find novel ways to use the improved fused data sources to create models for typical ship behaviour, anomaly detection, and traffic projection models. Furthermore, the risk of increased shipping in the north can also be modeled using this new information, which will help balance the need to protect the environment with the drive to more fully develop the area. The new methods and technologies that we develop will also create opportunities to apply the results to other parts of the arctic and elsewhere in the world.