应用光学, 2019, 40 (2): 246, 网络出版: 2019-03-26   

基于水下双目视觉的燃料组件变形检测系统

Deformation detection system of fuel assembly based on underwater binocular vision
作者单位
1 中国科学院 光电技术研究所, 四川 成都610209
2 电子科技大学 光电科学与工程学院, 四川 成都610054
3 中国科学院大学, 北京100049
摘要
燃料组件变形状态是堆芯运行过程中的重要监测指标, 基于水下双目视觉的变形检测系统不仅能获得燃料组件关键参数的三维尺寸, 还可以测量组件的整体轮廓。根据水下大型燃料组件的高热、高辐射特点, 研制了一种基于16台摄像单元的水下双目检测系统, 并给出各组成模块的详细设计; 通过联合Harris特征点和区域灰度互相关方法, 实现辐射噪声干扰下的双目摄像模块的组内快速图像配准。经模拟水池和核电现场实验, 验证系统局部参数测量精度优于0.2 mm, 全局参数测量精度满足0.5 mm, 为高热、高辐射的水下乏燃料组件的局部变形和整体弯曲等参数测量提供有力工具。
Abstract
The deformation state of fuel assembly is an important monitoring index during core operation. The deformation detection system of spent fuel assembly based on underwater binocular vision can not only obtain three-dimensional (3D) sizes of key parameters of spent fuel assembly, but also measure the overall outline of the assembly. Based on high temperature and high radiation characteristics of underwater large-scale target, an underwater binocular detection system based on 16 sets of camera units was developed. And the detailed design of its modules was given. By means of Harris feature point and regional grayscale cross correlation method, the fast stereo matching of binocular camera module with radiation noise was realized. According to the experiment results of simulated pool and nuclear power field,the local measurement accuracy of the system is better than 0.2 mm, and the global parameters satisfy the measurement accuracy of 0.5 mm. It can provide a powerful tool for the measurement of local deformation and bending parameters of underwater spent fuel assembly with high temperature and high radiation.

王从政, 胡松, 冯常, 高椿明. 基于水下双目视觉的燃料组件变形检测系统[J]. 应用光学, 2019, 40(2): 246. WANG Congzheng, HU Song, FENG Chang, GAO Chunming. Deformation detection system of fuel assembly based on underwater binocular vision[J]. Journal of Applied Optics, 2019, 40(2): 246.

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