常规岛管道壁厚可视化管理和减薄预测的技术研究
Technology Research on Visualization Management and Reduction Prediction for Pipeline Thickness in Conventional Island
DOI: 10.12677/NST.2022.103014, PDF,   
作者: 覃 坤, 肖调兵, 陈 明, 张 帆:中核核工业仿真技术重点实验室,湖北 武汉
关键词: 虚拟现实壁厚减薄三维可视化Virtual Reality Pipeline Thickness Reduction 3D Visualization
摘要: 本文介绍了一种核电站管道壁厚管理系统的主要技术和实施过程。建立电厂常规岛系统的管道基础信息和测厚数据库实现信息化存储,结合虚拟现实三维可视化技术,实现管道壁厚减薄现状的可视化展示,并且根据电厂现有历次大修测厚数据,通过可行的数学计算模型,实现壁厚减薄趋势分析和预测,从而促进二回路FAC系统管道数据的信息化建设,解决电厂评估二回路管道壁厚减薄状况及计算部件腐蚀速率工作效率低下且容易造成疏漏的问题。
Abstract: This paper introduces the main technology and implementation process of a pipe wall thickness management system in nuclear power plant. The system can realize the information storage by establishing the pipeline basic information and thickness measurement database of the conventional island system of the power plant, and realize the visual display of the current situation of pipeline wall thickness reduction by combining virtual reality three-dimensional visualization technology. According to the existing thickness measurement data of previous overhauls of the power plant, the wall thickness reduction trend analysis and prediction are realized through a feasible mathematical calculation model, so as to promote the information construction of the pipeline data of the secondary circuit FAC system, and solve the problems of low efficiency and easy leakage in evaluating the wall thickness reduction of secondary circuit pipeline and calculating the corrosion rate of components in power plant.
文章引用:覃坤, 肖调兵, 陈明, 张帆. 常规岛管道壁厚可视化管理和减薄预测的技术研究[J]. 核科学与技术, 2022, 10(3): 132-140. https://doi.org/10.12677/NST.2022.103014

参考文献

[1] 栾兴峰, 郑会, 等. 提高核电厂二回路汽水管道壁厚管理的有效性[J]. 发电设备, 2014, 28(1): 37-40.
[2] 郑会, 彭欣然, 李杰, 等. 核电厂二回路汽水管道流动加速腐蚀管理的工程实践[C]//2011核电厂二回路管道壁厚管理研讨会会议论文集. 上海: 中国核能行业协会, 2011: 70-72.
[3] 吴发辉, 张玲, 余文森. 基于图形学算法的纹理映射技术的研究与实现[J]. 现代电子技术, 2018(24): 71-74.
[4] 李丽亚. 基于VC++的图像纹理映射算法的应用[J]. 吕梁学院学报, 2017, 7(2): 43-46.
[5] 严蔚敏, 吴伟民. 数据结构C语言版[M]. 北京: 清华大学出版社, 2002: 278-283.
[6] Munson, D. and Horowitz, J. (2006) Recommendations for an Effective Flow-Accelerated Corro-sion Program. Final Report, Electric Power Research Institute 1011838, Palo Alto, 4.11-4.13.