面向冰凌密度监测的图像校正算法优化及系统设计  

Image Correction Algorithm Optimization and System Design for Ice Density Monitoring

作　　者：邓霄 王玎睿 冯健[3] 张琳 秦建敏 DENG Xiao;WANG Dingrui;FENG Jian;ZHANG Lin;QIN Jianmin(College of Physics and Optoelectronics,System,Ministry of Education and Shanxi Province,Taiyuan University of Technology,Taiyuan 030024,China;Key Laboratory of Advanced Transducers and Intelligent Control System,Ministry of Education and Shanxi Province,Taiyuan University of Technology,Taiyuan 030024,China;China Electronics Technology Group Corporation No.22 Research Institute,Qingdao Shandong 266107,China)

机构地区：[1]太原理工大学物理与光电工程学院,太原030024 [2]太原理工大学新型传感器与智能控制教育部与山西省重点实验室,太原030024 [3]中国电子科技集团公司第二十二研究所,山东青岛266107

出　　处：《太原理工大学学报》2020年第2期310-315,共6页Journal of Taiyuan University of Technology

基　　金：国家自然科学基金资助项目(51809190);水利部公益性行业专项经费资助项目(1261530110110);山西省重点研发计划(社发领域)资助项目(201903D321001);山西省面上自然科学基金资助项目(201901D111061);国家留学基金资助项目(201508140062)

摘　　要：针对开河期河流凌汛监测手段的不足,设计了一种可用于野外极端低温环境的河道定点冰凌图像监测系统,介绍了系统的组成及工作过程,探讨了对所采集冰凌图像的校准算法优化问题,进而获得了相对准确的观测区域河道水面冰凌密度数据。系统于2015年12月-2016年5月部署在黑龙江漠河县北极广场(53°28′43″N,122°21′38″E)的防洪堤上,在汛期有效获取了流冰密度分布、流速等相关参数,为提高该河段凌汛测报的精度提供了一种有效的技术装备。Aiming at the lack of ice flood monitoring approaches during the melt season,a fixed-point ice image monitoring system was designed,which was used in extremely low-temperature environments for field.The system composition and working process were reported,and the optimization of the correction algorithm of the collected images was studied.Moreover,the relatively accurate ice density data of the river surface at the testing site was obtained.We deployed this monitoring system on the floodwall(53°28′43″N,122°21′38″E)of the Beiji Square in Mohe County,Heilongjiang Province from December 2015 to May 2016.The results indicate that the relevant parameters such as ice density and flow rate were effectively obtained during the ice flood season.The system is proved to be an effective technical equipment for improving the accuracy of the ice flood forecast in this section.

关 键 词：冰凌密度 流速 图像处理 校正算法 监测系统 凌汛预报 

分 类 号：TP368[自动化与计算机技术—计算机系统结构]