Autonomous Swarm of Heterogeneous resources in infrastructure protection via threat prediction and prevention (TESTUDO)

通过威胁预测和预防实现基础设施保护中异构资源自治群 (TESTUDO)

• 批准号: 10078210
• 金额: $ 37.8万
• 依托单位: SHEFFIELD HALLAM UNIVERSITY
• 依托单位国家: 英国
• 项目类别: EU-Funded
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10078210
• 关键词: Autonomous; Swarm; Heterogeneous; resources; infrastructure

As its surroundings changes radically and climate conditions deteriorates, Europe and its Members adapt to these current challenges. To this end and in order to maximise their usability, the EC established a framework of a common policy (EU Security Market study) by categorizing potential technologies per security domain, including Critical Infrastructure (CI) Protection. This trend is indicative for the importance and significancy that the EC gives to these matters. Any potential disruption, either intentional as a terrorist attack or a natural disaster, may risk smooth operations of such structures that may have a severe impact on a local society and its daily activities or well-being. Current advancements in various technologies can be particularly beneficial in CI protection especially when they can provide a timely support without the necessity of a human in the loop. TESTUDO, aligned with the need of a holistic and autonomous security approach in CI protection domain and with the European Commission’s objectives, will utilize advanced unmanned vehicles along with existing equipment to deliver a highly mature platform for continuous monitoring even at harsh environments and remote territories. Tailored to the needs of the domain and targeting to maximize the platform’s autonomy capabilities, TESTUDO intends to incorporate state-of-the-art technologies for detection, prevention and prediction increasing their cognitive capabilities for different types of hazardous events. In addition, optimization techniques will identify the resources needed for the execution of high-level missions contributing to the total autonomy of the deployable system. A multidisciplinary group of technical innovators for AI-based models, CBRN, cyber-security detection, Digital twins and XAI along with the CI-related experts will collaborate to deliver an innovative action and solution to protect various CIs during a long operational period and completely autonomously.

随着周围环境的急剧变化和气候条件的恶化，欧洲及其成员国正在适应当前的挑战。为此，为了最大限度地提高其可用性，欧盟委员会建立了一个共同政策框架（欧盟安全市场研究），对每个安全领域的潜在技术进行分类，包括关键基础设施保护。这一趋势表明了欧盟委员会对这些问题的重视和重视。任何潜在的破坏，无论是故意的恐怖袭击还是自然灾害，都可能危及这些结构的顺利运作，从而可能对当地社会及其日常活动或福祉产生严重影响。目前各种技术的进步在CI保护方面特别有益，特别是当它们可以提供及时的支持而无需人工参与时。TECHNOO符合CI保护领域的整体和自主安全方法的需求以及欧盟委员会的目标，将利用先进的无人驾驶车辆沿着现有设备，提供一个高度成熟的平台，即使在恶劣的环境和偏远地区也能进行持续监控。根据该领域的需求量身定制，并以最大限度地提高平台的自主能力为目标，TECHNO打算采用最先进的检测、预防和预测技术，提高其对不同类型危险事件的认知能力。此外，优化技术将确定执行高级别任务所需的资源，有助于可部署系统的完全自主。一个由人工智能模型、CBRN、网络安全检测、数字孪生和XAI技术创新者组成的多学科小组将与CI相关专家合作，提供创新行动和解决方案，以在长期运营期间完全自主地保护各种CI。