Intelligent Experience Retention System (IERS)

在核电站（NPP）和OPG，由于经验丰富的人员不断调动到不同的部门或退休，大量的专业知识和系统特定知识丢失。这导致新员工的培训时间更长，有时对问题的反应也会延迟。专业知识的损失使OPG花费了大量资金，因为他们必须投资培训经验不足的员工，并导致延迟或错误活动的间接损失，特别是在反应堆维护和检查活动中。此外，没有专家系统限制了工作人员有效执行任务的能力。保留工程知识的另一个挑战和需要是特定的活动，如翻新或退役，这些活动在很长一段时间内（20-50年）重复进行，无法在这些领域建立专业知识，因此转移专业知识变得很重要。面临的挑战包括：核电站专业知识的退休；工厂运行和维护技术的转型和多样化；人-人、机器-人、大脑-机器、机器-机器之间的交流进展；以及对年轻一代工厂工程师和个人进行昂贵和耗时的培训。本项目旨在通过学习工程和运营数据以及人类经验，设计新型下一代运营经验支持系统，建立全面的知识库，及时支持关键运营活动。该项目将演示智能体验保留系统（IERS）的开发，在OPG内部进行一些案例研究，然后在多个部门进行广泛部署。该项目将包括IERS的概念设计、实施、测试和AFS（可用服务），作为一个自我学习的自动化智能系统，保留人员专业知识，对其进行分析，并准备好回答经验不足的员工提出的相关问题。

In nuclear power plants (NPP), and at OPG, due to continuous moves of experienced personnel to different department or retirements, a vast amount of expertise and systems-specific knowledge is lost. This leads to longer training periods for new employees and sometimes to delayed responses to problems. The loss of expertise costs OPG a large amount of money as they have to invest in training less experienced staff, and leads to indirect losses in delayed or wrong activities, in particular in reactor maintenance and inspection activities. Moreover, the unavailability of expert systems limited the ability of staff to perform their tasks effectively. Another challenge and need to retain engineering knowledge is specific activities such as refurbishment or decommissioning, which are repeated over a long period of time (20-50 years) which did not enable building expertise in these areas, and transferring expertise became important. The challenges include: retirement of expertise in NPP; transformation and diversity of technologies in plant operation and maintenance; advancement in communications between human-human, machine-human, brain-machine, and machine-machine; and expensive and time consuming training of young generation plant engineers and personal. This project is aiming at the design of novel next generation operation experience support system by learning from engineering and operational data, as well as human experience and build comprehensive knowledgebase to support critical operation activities in timely manner. The project will demonstrate the development of Intelligent Experience Retention System (IERS) to be demonstrated with a number of case studies within OPG, prior to wide deployment in a number of sections. The project will include conceptual design, implementation, testing and AFS (Available For Service) of the IERS as a self-learning automated intelligent system that retains the personnel expertise, analyses it, and makes it ready to answer related questions asked by inexperienced employees.