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

Passages(北极保护和高级监视系统：绿色、高效、安全)研究项目的目的是确定使用多个传感器和高级分析来监控加拿大北极航运交通的新方法。随着冰层一年比一年融化得更多，北方有可能出现更多与游轮旅游、海底采矿和近海石油和天然气开发等活动相关的交通。重要的是使用多个传感器监测交通，无论是陆基、面基、水下还是卫星基的，以便适当的机构能够在发生海上事故或泄漏或过境非法船只时提前计划。通过该项目，我们的行业合作伙伴精密地球有限公司和卡西迪安公司将与达尔豪西大学和德国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择，从而产生多种好处：为我们的合作伙伴提供这一领域的新产品和服务的商机；改善对加拿大北冰洋的保护，使我们的北方居民受益，并为该国整体的北方发展增加经济机会；多传感器融合和航海模式分析领域的新理论发展。达尔豪西大学的具体作用是找到新的方法来使用改进的融合数据源来创建典型船舶行为、异常检测和交通预测模型的模型。此外，北部航运增加的风险也可以用这一新信息来模拟，这将有助于平衡保护环境的需要和更充分地开发该地区的动力。我们开发的新方法和新技术还将创造机会，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.