NNUF-HR: National Nuclear User Facility for Hot Robotics

NNUF-HR：国家热机器人核用户设施

• 批准号: EP/T011491/1
• 负责人: Thomas Scott
• 金额: $ 457.77万
• 依托单位: University of Bristol
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FT011491%2F1
• 关键词: NNUF; HR; National; Nuclear; User

Scope and Operating VisionWe propose a facility that will become an internationally-recognised hive for collaborative research in nuclear robotics and sensors. The facility will provide necessary infrastructure and equipment to support significant sector change, both in terms of technology-innovation and culture. Complementary nuclear robotics-related equipment and mock-ups will be based at four strategic UK locations: Remote Applications in Challenging Environments (RACE) at UKAEA, Culham; the University of Bristol's Fenswood Facility on the outskirts of Bristol; the Workington Laboratory of National Nuclear Laboratory (NNL); and the University of Manchester's Dalton Cumbria Facility (DCF). The Hot Robotics facility will run via a coordinated "Hub and Spoke" approach, with RACE being the primary site. Together, these facilities will form a coordinated National Nuclear User Facility for hot nuclear robotics. Our aim is for NNUF-HR to be a national facility for the next 25 years, supporting UK ambitions for cheaper, faster decommissioning, nuclear new-build, advanced modular fission reactors and future fusion powerplants.Summary of EquipmentOur proposal is for a combination of robotic manipulators, ground vehicles, aerial vehicles, underwater vehicles, deployment robots, various sensors and cameras, plant mock-ups, and supporting infrastructure. By proposing such a breadth of equipment, across multiple sites, we are confident of having the widest possible reach and impact in terms of scientific output and user base.Why These Four Locations?We have specifically chosen four sites to build on existing infrastructure and relationships. It is essential, in terms of both geography and distribution of existing capabilities, that there are four sites in this proposal. Truly UK-wide benefits would not be able to be achieved by limiting this proposal to a single site. The Bristol site is ideally placed in respect of major nuclear sector activities in the South West, such as new-build at Hinkley Point C, Magnox site decommissioning (Berkeley, Winfrith and Oldbury) and substantial training/skills undertakings associated with the National College for Nuclear (NCfN) southern site at Bridgwater & Taunton College. At Culham, as well as UKAEA, there is close proximity to both Harwell (Magnox and other nuclear companies), AWE and support of the Oxfordshire LEP in terms of innovation and skills. In Cumbria, DCF and NNL Workington are ideally placed for Sellafield and also the NCfN northern training site at Lakes College, Workington.How Will Users Access the Facility and its Equipment?The facility will provide access to cutting-edge robotics equipment and experts, supporting research, innovation, commercialisation and training. There will be two modes of access: (1) Universities and their industrial partners will be able to book both space and equipment inside the facility for supported experiments, demonstrations and technology certification. (2) Users will also be able to hire-out, to their own laboratories or to nuclear sites, turn-key 'containerised' robotics solutions to facilitate development, integration and testing of new capabilities, control algorithms and sensory add-ons. This latter mode of access will enable a widening of academic and industrial participation to fully utilise the facility's resources.NNUF-HR funding is not expected to create a full decommissioning toolkit to decommission Sellafield - such a toolkit will cost £Bs over decades. NNUF-HR's ambition is to show what is possible and, hence, influence decision-makers and enable the routine use of robotics for high-hazard working. However, we envisage that the containerised decommissioning toolkit will be the proof-of-concept enabling rapid expansion with industry investment. Hence, NNUF-HR will create the prototype facilities for much wider use.

范围和运营愿景我们提出了一个设施，将成为一个国际公认的蜂巢，在核机器人和传感器的合作研究。该设施将提供必要的基础设施和设备，以支持技术创新和文化方面的重大部门变革。补充的核机器人相关设备和模型将设在英国的四个战略地点：卡勒姆的UKAEA的远程应用环境（RACE）;布里斯托大学位于布里斯托郊区的Fenswood设施;国家核实验室（NNL）的沃金顿实验室;以及曼彻斯特大学的道尔顿坎布里亚设施（DCF）。Hot Robotics工厂将通过协调的“中心辐射”方法运行，RACE是主要站点。这些设施将共同组成一个协调的热核机器人国家核用户设施。我们的目标是在未来25年内将NNUF-HR建成一个国家级设施，以支持英国在更便宜、更快的退役、新建核电站、先进的模块化裂变反应堆和未来聚变发电厂方面的雄心。设备概述我们的建议是将机器人机械手、地面车辆、飞行器、水下车辆、部署机器人、各种传感器和摄像机、工厂实物模型和配套基础设施相结合。通过在多个地点提供如此广泛的设备，我们有信心在科学产出和用户基础方面拥有尽可能广泛的覆盖面和影响力。为什么选择这四个地点？我们特别选择了四个地点，以建立现有的基础设施和关系。就地理和现有能力的分布而言，本提案中有四个地点是至关重要的。将这一建议限制在一个单一的地点，将无法实现真正的全英国利益。布里斯托厂址对于西南部的主要核部门活动而言位置理想，例如欣克利角C的新建、Magnox厂址退役（伯克利、温弗里斯和奥尔德伯里）以及与位于布里奇沃特和汤顿学院的国家核学院（NCfN）南部厂址相关的大量培训/技能项目。在卡勒姆，以及英国原子能机构，有两个哈威尔（镁诺克斯和其他核公司），AWE和牛津郡LEP在创新和技能方面的支持非常接近。在坎布里亚郡，DCF和NNL沃金顿是塞拉菲尔德的理想地点，也是位于沃金顿湖泊学院的NCfN北方培训基地。用户如何访问该设施及其设备？该设施将提供先进的机器人设备和专家，支持研究，创新，商业化和培训。将有两种访问模式：（1）大学及其工业合作伙伴将能够预订设施内的空间和设备，以进行支持的实验，演示和技术认证。(2)用户还可以向他们自己的实验室或核电站租用交钥匙的“集装箱化”机器人解决方案，以促进新功能、控制算法和传感器附件的开发、集成和测试。后一种访问模式将使学术界和工业界的参与范围扩大，以充分利用该设施的资源。NNUF-HR的资金预计不会创建一个完整的退役工具包来退役塞拉菲尔德-这样的工具包将花费数十亿英镑。NNUF-HR的目标是展示什么是可能的，从而影响决策者，并使机器人技术在高危险工作中的日常使用成为可能。然而，我们设想集装箱退役工具包将是概念验证，使行业投资能够快速扩展。因此，NNUF-HR将创建原型设施以供更广泛的使用。

项目成果

Examining the residual radiological footprint of a former colliery: An industrial nuclear archaeology investigation

检查前煤矿的残留放射性足迹：工业核考古调查

• DOI: 10.1016/j.jenvrad.2023.107292
• 发表时间: 2023
• 期刊: Journal of Environmental Radioactivity
• 影响因子: 2.3
• 作者: Parker E

An Introduction to Nuclear Industrial Archaeology

核工业考古学导论

• DOI: 10.3390/su15076178
• 发表时间: 2023
• 期刊: Sustainability
• 影响因子: 3.9
• 作者: Holland E

A highly scalable and autonomous spectroscopic radiation mapping system with resilient IoT detector units for dosimetry, safety and security

高度可扩展的自主光谱辐射测绘系统，具有弹性物联网探测器单元，用于剂量测定、安全和保障

• DOI: 10.1088/1361-6498/acab0b
• 发表时间: 2023
• 期刊: Journal of Radiological Protection
• 影响因子: 1.5
• 作者: Russell-Pavier F

An Open-Source Iterative Python Module for the Automated Identification of Photopeaks in Photon Spectra

用于自动识别光子光谱中光峰的开源迭代 Python 模块

• DOI: 10.3390/radiation2020014
• 发表时间: 2022
• 期刊: Radiation
• 作者: Fearn S

A Flexible Power Delivery System for Remote Nuclear Inspection Instruments

用于远程核检查仪器的灵活供电系统

• DOI: 10.1109/icara55094.2022.9738575
• 发表时间: 2022
• 作者: Verbelen Y