Smart ocean Sensors Web Enabled ocean sensors for aquaculture

N. Cater
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引用次数: 7

Abstract

Ocean Observing systems provide a broad range of users with critical information. This can include information required for problem solving, decision making, prediction and forecasting as well as to support offshore engineering and design. In short, these systems enable us to better understand the oceans around us. Collecting and delivering data in an effective and timely manner is crucial to its viability and consequently its value to the end user. In broadest terms, an ocean observing system is comprised of three primary functional layers. The top layer, from the point of view of the end user, is the application layer, the software tools that enable the user to process, interpret and act upon data. The second layer is the service layer, the hardware and software necessary to move, store and manage data. The third layer is the data collection layer consisting of the sensors and systems that are the physical interface with the ocean environment. The vision of Sensor Web Enablement, sensors that are discoverable, accessible and usable over the World Wide Web, is one that will ultimately have application in all ocean sectors and industries. One area of particular applicability both provincially in Newfoundland and Labrador and regionally in Atlantic Canada is aquaculture. Real time access to site data describing the sometimes rapidly changing oceanographic and meteorological conditions is critical for effective management of a modern aquaculture operation. The School of Ocean Technology at the Fisheries and Marine Institute of Memorial University of Newfoundland is about to embark on a pre-commercial applied research project that will result in a new and innovative approach to ocean observation in support of the aquaculture industry. On a larger scale, the results of the Smart Ocean Sensors Project will create the framework for a new class of observation systems with the capability to be uniquely and independently located, addressed and accessed via the World Wide Web. The School of Ocean Technology will collaborate with the Newfoundland Aquaculture Industry Association to provide the industry with ready access to real time and archival data on marine environmental conditions in support of sustainable aquaculture production. The project is based in the Coast of Bays region, the frontier of the emerging aquaculture industry on the island of Newfoundland and the centre of the rapidly growing commercial salmonid aquaculture industry in the Province. The project will deliver information to the end user through collaboration with the SmartBay initiative. SmartBay is a trial implementation of a user-driven, operations-focused ocean observing system with the vision of integrating and delivering information to a broad base of marine users in a timely and user-friendly manner. Currently based in Placentia Bay, which is geographically adjacent to the Coast of Bays, SmartBay is set to expand its service footprint into the Coast of Bays region under a separate project. The results of the collaboration will provide a better understanding of the dynamic biophysical conditions that affect the planning, operation and commercial viability of aquaculture installations. Access to the information will support all aspects of the industry, from planning and environmental assessment to site operations to broader scale ocean resources management. It is hoped and expected that following a successful trial in the Coast of Bays, the model will be adopted by the growing aquaculture industry for other regions and other species including shellfish and ground-fish. Finally the project will serve to establish a unique R&D capability at the Marine Institute that will not only improve the competitiveness of the aquaculture industry but will also provide opportunity to sensor manufacturers, regionally and beyond.
智能海洋传感器用于水产养殖的网络海洋传感器
海洋观测系统为广大用户提供关键信息。这可能包括解决问题、决策、预测和预测以及支持海上工程和设计所需的信息。简而言之,这些系统使我们能够更好地了解我们周围的海洋。以有效和及时的方式收集和交付数据对于其可行性及其对最终用户的价值至关重要。广义地说,海洋观测系统由三个主要功能层组成。从最终用户的角度来看,顶层是应用层,即允许用户处理、解释和操作数据的软件工具。第二层是服务层,即移动、存储和管理数据所需的硬件和软件。第三层是数据收集层,由传感器和系统组成,是与海洋环境的物理接口。传感器网络实现的愿景是,在万维网上可以发现、访问和使用传感器,最终将在所有海洋部门和行业中得到应用。在纽芬兰和拉布拉多省和加拿大大西洋地区特别适用的一个领域是水产养殖。实时获取描述有时迅速变化的海洋和气象条件的现场数据对于有效管理现代水产养殖业务至关重要。纽芬兰纪念大学渔业和海洋研究所海洋技术学院即将开展一项商业前应用研究项目,该项目将为支持水产养殖业的海洋观测提供一种新的创新方法。在更大的范围内,智能海洋传感器项目的成果将为一种新型观测系统创建框架,该系统具有通过万维网进行独特和独立定位、寻址和访问的能力。海洋技术学院将与纽芬兰水产养殖业协会合作,为该行业提供有关海洋环境状况的实时和档案数据,以支持可持续水产养殖生产。该项目位于海湾海岸地区,这里是纽芬兰岛上新兴水产养殖业的前沿,也是该省快速增长的商业鲑鱼养殖业的中心。该项目将通过与SmartBay计划的合作向最终用户提供信息。SmartBay是一个以用户为导向、以业务为中心的海洋观测系统的试点,旨在以及时和用户友好的方式整合和向广大海洋用户提供信息。SmartBay目前位于Placentia Bay,地理位置与海湾海岸相邻,它将通过一个单独的项目将其服务范围扩展到海湾海岸地区。合作的结果将使人们更好地了解影响水产养殖设施的规划、操作和商业可行性的动态生物物理条件。获取这些信息将支持该行业的各个方面,从规划和环境评估到现场作业,再到更大规模的海洋资源管理。希望并期望在海湾海岸试验成功后,这一模式将被日益增长的水产养殖业采用,用于其他地区和其他物种,包括贝类和底栖鱼。最后,该项目将有助于在海洋研究所建立独特的研发能力,这不仅将提高水产养殖业的竞争力,而且还将为区域内外的传感器制造商提供机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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