Themis: Precision Fishing technologies to ‘catch better’
Themis:精准捕鱼技术“捕获更好”
基本信息
- 批准号:80891
- 负责人:
- 金额:$ 6.66万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Small Business Research Initiative
- 财政年份:2020
- 资助国家:英国
- 起止时间:2020 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
**Background** The need for precision fishing in becoming more acute, driven by environmental, commercial, regulatory and ethical factors. The fishing industry has invested heavily in research and development of fishing gear technology to address the issues that they face around bycatch, however the return is diminishing as we approach the limits of gear modification to address bycatch issues. Alternative approaches are needed and this project aims to facilitate precision fishing based on the parameters that surround the vessel in real time time and provide insight on the likely catch composition based on these. **The Idea** SNTech will work with technology partners and customers to develop groundbreaking sensor technology that can be affixed to the fishing gear alongside our Pisces bycatch reduction solution. The data will be collected in real time via an acoustic wireless data connection linking the sensors and the vessel. The data will then be presented to the fisherman in an intuitive and informative manner and also uploaded into the cloud where it can be accessed by permissioned 3rd parties. The solution will contain the following; * a set of Pisces lights * a rechargeable wireless sensor capable of measuring water depth / temperature / salinity / pH / Turbidity / dissolved oxygen / light intensity / 3 axis movement and transmitting the data back to the vessel acoustically in real time. * a gear recovery beacon which can be activated via an acoustic ping from the vessel in the event that the gear is lost and thus recovered. * an onboard transponder to receive the acoustic data from the sensors and supporting App to take the raw data and turn it into insightful information. * the project will look to integrate with onboard systems that collect and transmit data such as VMS and elog in order to add extra layers to data set or if not provide tools to gather and transmit this data to the cloud * A web App linked to the database providing UI for subscribers * API's for data sets accessible to subscribers **Benefits** The direct benefits of this project will see fishermen equipped with easy to use technology that will increase their understanding of their fishing environment and allow them to use our precision fishing tools to only catch the fish they need in an efficient and effective manner. Secondary benefits will come from sharing the gathered data with other stakeholders to improve science, management and the market.
**背景**在环境、商业、监管和道德因素的推动下,对精确捕捞的需求变得更加迫切。捕鱼业在渔具技术的研究和开发上投入了大量资金,以解决他们在副渔获物方面面临的问题,然而,随着我们接近改装渔具以解决副渔获物问题的极限,回报正在减少。需要其他办法,该项目旨在促进根据实时围绕船只的参数进行精确捕捞,并在此基础上对可能的渔获量构成提供洞察。**想法**SNTech将与技术合作伙伴和客户合作,开发突破性的传感器技术,该技术可以与我们的双鱼座副渔获物减少解决方案一起安装到渔具上。数据将通过连接传感器和船只的声学无线数据连接实时收集。然后,数据将以直观和信息丰富的方式呈现给渔民,并上传到云中,授权的第三方可以在云中访问这些数据。该解决方案将包括以下内容:*一组双鱼灯*一个可充电的无线传感器,能够测量水深/温度/盐度/pH/浊度/溶解氧/光强度/三轴运动,并将数据实时以声学方式传输回船舶。*渔具回收信标,在渔具遗失并寻回时,可透过船只的声学脉冲启动该信标。*车载应答器接收来自传感器的声学数据,并支持App获取原始数据并将其转化为有洞察力的信息。*该项目将寻求与收集和传输数据的船上系统集成,如VMS和ELOG,以便向数据集添加额外的层,或者如果不提供工具来收集并将这些数据传输到云中*Web App链接到数据库,为用户提供用户界面*用户可访问的数据集的API**好处**该项目的直接好处将看到渔民配备了易于使用的技术,将增加他们对捕鱼环境的了解,并允许他们使用我们的精准捕鱼工具,以高效和有效的方式仅捕获他们需要的鱼。与其他利益相关者共享收集的数据,以改善科学、管理和市场,将带来次要好处。
项目成果
期刊论文数量(0)
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其他文献
吉治仁志 他: "トランスジェニックマウスによるTIMP-1の線維化促進機序"最新医学. 55. 1781-1787 (2000)
Hitoshi Yoshiji 等:“转基因小鼠中 TIMP-1 的促纤维化机制”现代医学 55. 1781-1787 (2000)。
- DOI:
- 发表时间:
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LiDAR Implementations for Autonomous Vehicle Applications
- DOI:
- 发表时间:
2021 - 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
吉治仁志 他: "イラスト医学&サイエンスシリーズ血管の分子医学"羊土社(渋谷正史編). 125 (2000)
Hitoshi Yoshiji 等人:“血管医学与科学系列分子医学图解”Yodosha(涉谷正志编辑)125(2000)。
- DOI:
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Effect of manidipine hydrochloride,a calcium antagonist,on isoproterenol-induced left ventricular hypertrophy: "Yoshiyama,M.,Takeuchi,K.,Kim,S.,Hanatani,A.,Omura,T.,Toda,I.,Akioka,K.,Teragaki,M.,Iwao,H.and Yoshikawa,J." Jpn Circ J. 62(1). 47-52 (1998)
钙拮抗剂盐酸马尼地平对异丙肾上腺素引起的左心室肥厚的影响:“Yoshiyama,M.,Takeuchi,K.,Kim,S.,Hanatani,A.,Omura,T.,Toda,I.,Akioka,
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