This paper presents a case study of using Scan-to-BIM technology for evaluating the quantity and cost of a nuclear power plant during the decommissioning process. The study proposes a process for applying Scan-to-BIM in the dismantling stage and develops a BIM-based VPL (Visual Programming Language) to acquire accurate as-is databases that are crucial for nuclear power plants handling radioactive materials. The proposed process and system were applied to K-1 NPP (Nuclear Power Plant), the first nuclear power plant in Korea, and the results were compared to those obtained using the conventional method. The study found that errors in quantity evaluation using the conventional method ranged from around 10% to over 10 times, and were attributed to various causes such as outdated as-is drawings and limitations in expressing information in drawings. By using the Scan-to-BIM process and system, errors in quantity evaluation were significantly reduced, and the conventional method was found to have underestimated the dismantling cost by 20%. The findings of this study provide important insights for the efficient and accurate decommissioning of nuclear power plants, and demonstrate the effectiveness of the proposed method and system for evaluating the quantity and cost of a nuclear power plant during the decommissioning process.

本文介绍了使用 Scan-to-BIM 技术评估核电厂退役过程中的数量和成本的案例研究。该研究提出了在拆除阶段应用 Scan-to-BIM 的流程，并开发了基于 BIM 的 VPL（可视化编程语言）来获取准确的原样数据库，这对于处理放射性材料的核电站至关重要。所提出的工艺和系统应用于韩国第一座核电站 K-1 NPP（核电站），并将结果与​​使用传统方法获得的结果进行了比较。研究发现，使用传统方法进行的数量评估误差范围从10%左右到10倍以上，其原因有多种，例如过时的原样图纸以及图纸中表达信息的局限性等。通过使用Scan-to-BIM流程和系统，数量评估中的错误显着减少，并且发现传统方法低估了拆除成本20%。这项研究的结果为核电站的高效、准确退役提供了重要的见解，并证明了所提出的方法和系统在评估核电站退役过程中的数量和成本方面的有效性。