Marine Observation & Biodiversity Intelligence (MOBI)

我们的项目MOBI是一项合作提案，专注于两个竞争范围点，并汇集了两家英国专业的微型中小企业来开发它。传感器或采样器携带平台：acua Ocean_是一家处于早期阶段的英国企业，正在设计和开发未来的海洋自主水面系统（MASS），船舶自主，零排放，氢燃料，高效，能够携带海洋监测传感器的有效载荷，为一系列海洋生物多样性监测目标提供动力和实时回传数据。数据分析和可视化系统：项目负责人，emu Analytics_是英国一家屡获殊荣的实时地理空间和时间数据分析和数字孪生软件开发商_，该软件已经在许多邻近部门（包括航空，能源，交通和电信）中使用。2021年，该公司获得地理空间委员会（Geospatial Commission）的资助，首次进军海事领域，调整其技术，帮助灯塔管理局了解未来海上风电场对航运的影响。MOBI项目将通过设计标准，将来自未来Acua船上传感器的数据进行结构化和暴露，以方便先进的分析和可视化系统（在这种情况下，是Emu的数字双胞胎技术）使用这些数据，从而将NCEA更广泛需求的这两个元素结合起来。项目负责人Emu将进一步发展并随后展示其软件如何从邻近的行业部门过渡到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Emu之前在海上风电和航运行为分析方面的经验（考虑到它们对海洋生物多样性的直接影响）。该项目的这一阶段的输出将成为Emu技术的工作演示，该技术将与现有的开放海事数据集一起发展和适应，并展示如何在后期工作阶段轻松集成未来（或现有的NCEA连续数据源），并结合Acua自主船上未来传感器数据管理的数据设计。

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.