Marine Observation & Biodiversity Intelligence (MOBI)

我们的MOBI项目是一项合作提案，重点关注两个竞争范围点，并将两家总部位于英国的专业微型中小企业聚集在一起开发IT1。_传感器或采样器携带平台_：_Acua Ocean_是英国一家处于早期阶段的企业，正在设计和开发未来的海洋自主水面系统(MASS)，即自主、零排放、氢燃料、高效并能够携带海洋监测传感器的有效载荷的船只，为一系列海洋生物多样性监测目标提供电力和实时回程数据。数据分析和可视化系统：项目负责人，EMU Analytics是英国获奖的实时地理空间和时间数据分析和数字孪生软件开发商，已在许多邻近行业(包括航空、能源、交通和电信)使用。2021年，该公司得到了地理空间委员会的资助，首次进军海事领域，调整了其技术，以帮助总灯塔当局了解未来海上风电场对航运的影响。MOBI项目将着手将NCEA更广泛需求的这两个元素结合在一起，通过设计来自未来ACUA船只上的传感器的数据的结构和暴露标准，以促进高级分析和可视化系统(在这种情况下，是EMU的数字孪生技术)使用这些数据。项目领导，动车组还将进一步发展，并随后演示如何将其软件从相邻的行业部门过渡，并应用于专门关注海洋生物多样性数据(以及直接相关的数据，例如海上风电场位置)，并利用动车组在分析近海风能和航运行为方面的先前经验(考虑到它们对海洋生物多样性的直接影响)。该项目这一阶段的输出将是动车组技术的实际演示，演变和调整以与现有的开放海洋数据集合作，并展示未来(或现有的NCEA连续数据源)如何在以后的工作阶段轻松地整合到其中。与数据设计相结合，用于管理来自Acua自主船只上未来传感器的数据。

Our project, MOBI, is a collaborative proposal focusing on two of the competition scope points, and bringing together two specialist UK-based micro-SMEs to develop it.1. _sensor or sampler carrying platforms_: _Acua Ocean_ is an early stage UK business that is designing and developing future Marine Autonomous Surface Systems (MASS), vessels that are autonomous, zero-emissions, hydrogen fuelled, efficient and capable of carrying payloads of marine monitoring sensors, providing power and real-time backhaul of data for a range of marine biodiversity monitoring objectives.2. _data analysis and visualisation systems_: project lead, _Emu Analytics_ is an award-winning _UK developer of real-time geospatial & temporal data analytics and digital twin software_, that has already been used in a number of adjacent sectors (including aviation, energy, transportation and telco). In 2021 the company was funded by the Geospatial Commission for its first foray into the maritime sector, adapting its technology to help the General Lighthouse Authorities understand the shipping navigational impact of future offshore windfarms.The MOBI project will set about to bring together these two elements of the broader needs of NCEA, by designing the standards by which data sourced from sensors on future Acua vessels, should be structured and exposed to facilitate the use of this data by advanced analytics and visualisation systems (in this case, Emu's digital twin technology).Project lead, Emu will additionally evolve and subsequently demonstrate how its software could be transitioned from adjacent industry sectors and applied to focus specifically on marine biodiversity data (and directly related data - for example offshore wind farms locations) , and leveraging Emu's prior experience in the analysis of offshore wind and shipping behaviours (given their direct impact on marine biodiversity).The output of this phase of the project will be a working demonstrator of Emu's technology, evolved and adapted to work with existing available open maritime data sets, and showcasing how future (or existing NCEA continuous data sources) could be easily integrated into it in later phases of work, combined with a data design for the management of data derived from future sensors aboard Acua's autonomous vessels.