Marine Observation & Biodiversity Intelligence (MOBI)

我们的项目，MOBI，是一个合作的建议，侧重于两个竞争范围点，并汇集了两个专业的英国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），这些船舶是自主的，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电力和实时数据回传。2. _数据分析和可视化系统_：项目负责人，_Emu Analytics_是一家屡获殊荣的_英国实时地理空间和时间数据分析和数字孪生软件开发商_，已被用于许多相邻部门（包括航空，能源，运输和电信）。2021年，该公司获得了地理空间委员会的资助，首次进军海事领域，调整其技术，以帮助灯塔总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要素结合起来，通过设计标准，从未来Acua船舶上的传感器获取数据，应进行结构化和公开，以便于高级分析和可视化系统使用这些数据（在这种情况下，鸸鹋的数字孪生技术）。项目负责人，Emu还将进一步发展并随后展示其软件如何从相邻的行业部门过渡到专门针对海洋生物多样性数据的应用（以及直接相关的数据-例如海上风电场位置），并利用EMU在海上风电和航运行为分析方面的经验（鉴于其对海洋生物多样性的直接影响）。该项目这一阶段的产出将是鸸鹋技术的工作演示器，该系统经过了不断的发展和调整，以适应现有的开放式海事数据集，并展示了未来（或现有的NCEA连续数据源）如何在后期工作中轻松集成到其中，同时结合数据设计，管理Acua自主船舶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.