Digitization and asset information modelling to support nuclear power plant decommissioning

世界上现有的核电站中有近三分之一的年龄超过30年，平均年龄为27年。在不久的将来，其中许多核电站将不得不退役，这一进程需要得到安全管理。具体到安大略，安大略发电公司（OPG）将于2025年开始退役皮克林设施，预计需要大约40年才能完成。退役过程的各个中间阶段包括安全储存、转移到临时废物管理设施、实际拆除设施以及将燃料转移到场外更永久的储存地。三维语义丰富的建成条件模型，俗称建筑信息模型，可以是一个强大的工具，拆除规划和自动化和半自动化拆除活动。该伙伴关系的主要目标是开发数字化工作流程，包括针对核设施关键退役活动的数据收集平台、方法和决策支持工具。 该提案的主要目标是：㈠开发数字扫描和随之而来的决策支持工具，以便迅速核实核资产并跟踪其在退役期间的演变情况; ㈡开发最佳包装退役期间产生的废物的算法和工作程序，并开发可视化工具，以协助包装过程;以及（iii）开发非破坏性方法来描绘具体的激活深度，并利用条件数据对象来增强数字模型。这些活动的最终目标是进行系统的退役管理和减少人类受到的总体辐射照射。所要求的预算的大部分将用于培训高素质的人员，即硕士和博士生。

Nearly a third of the existing nuclear power plants in the world are over 30 years of age, with an average age of 27 years. A large number of them will have to be decommissioned in the near future, and this process needs to be safely managed. Specific to Ontario, Ontario Power Generation (OPG) will start decommissioning the Pickering facility in 2025, which is expected to take approximately 40 years to complete. Various intermediate stages in the decommissioning process consist of safe storage, transfer to a temporary waste management facility, physical demolition of the facility and transfer of fuel to more permanent storage off site. Three dimensional semantically enriched models of as-built conditions, popularly known as building information models, can be a powerful tool in de-construction planning and automated and semi-automated dismantling activities. The main goal of this partnership is to develop digital workflows consisting of data collection platforms, methodologies and decision support tools targeting key decommissioning activities for nuclear facilities. The main objectives of this proposal are to: (i) develop digital scanning and the attendant decision support tools in order to rapidly digitize nuclear assets and track their evolution during decommissioning; (ii) develop algorithms and work processes for optimal packing of waste produced during decommissioning and develop visualization tools to aid in the packing process; and (iii) develop non-destructive methods to profile the activation depth in concrete and augment digital models with condition data objects. Ultimately, these activities are targeted towards systematic decommissioning management and reducing the overall radiation exposure to humans. A majority of the requested budget will be used to train highly qualified personnel, namely MASc and PhD students.