摘要
针对Zedgraph在大数据变形监测可视化表达中存在的数据交互性差、多数据同时显绘难以区分等不足,基于C#编程语言,对程序源代码中的数据内核进行二次开发和算法优化,通过拓展数据载入接口,实现与多维变形监测数据表格的关联匹配。应用嵌入式窗体控件,设计了对图表进行个性化定制的人机交互界面,同时,融合常规Kalman滤波和方差补偿自适应Kalman滤波两种变形信息处理算法,实现大量监测数据的快速分析和处理。最后,通过大量工程项目的应用,检验了改进优化后Zedgraph图表类库的先进性和实用性,取得了较好的效果。
In view of Zedgraph’s inadequacies in visualizing large data deformation monitoring,such as poor data interactivity and difficulty in simultaneous display of multiple data,the data kernel in the source code of the program is redeveloped and the algorithm is optimized based on C#programming language.By expanding the data loading interface,the association matching with the multi-dimensional deformation monitoring data table is achieved.An embedded form control is applied to design a personalized human-machine interface for the chart.At the same time,two deformation information processing algorithms,conventional Kalman filter and variance compensation adaptive Kalman filter,are combined to achieve fast analysis and processing of a large amount of monitoring data.Finally,through the application of a large number of engineering projects,the advancement and practicability of the improved Zedgraph chart class library are verified,and achieved significant results.
作者
罗保林
张拯
金飞
LUO Bao-lin;ZHANG Zheng;JIN Fei(ChenDu Institute of Survey&Investigation,Chengdu Sichuan 610031,China;Chengdu Tianyou Intelligent Cloud Technology Development Co.,Ltd.,Chengdu Sichuan 610031,China)
出处
《现代测绘》
2022年第3期53-57,共5页
Modern Surveying and Mapping
基金
成都市科技项目(VQ21SS1135Y17004)。
关键词
变形可视化
Zedgraph图表类库
二次开发
卡尔曼滤波算法
deformation information visualization
Zedgraph chart class library
add-on functions’development
Kalman filtering
