节点文献
导线网平差系统的设计与实现
The Programming Design for the Traverse Network Adjustment
【作者】 徐文;
【导师】 萨贤春;
【作者基本信息】 西安科技大学 , 地图制图学与地理信息工程, 2011, 硕士
【摘要】 近年来,随着国家大力发展基础设施建设,工程项目日益增多,测绘工程在其中发挥着基础性并不可替代的作用,测绘工程中数据处理就显得尤其重要。本课题的研究目的是解决测绘外业测量中控制网智能化数据处理问题。课题主要研究了边角网、导线网的数据结构、最小独立闭合环和最短附合路线自动搜索、近似坐标自动计算、误差方程系数计算、法方程的组成与解算、平差值计算及其精度评定、粗差剔除、方差分量估计、计算机绘图比例尺和坐标系的设定、边角网、导线网展点图和误差椭圆图的自动绘制,以及数据录入、输出方式、数据的存储与管理等内容。利用Visual Studio2003编程环境,采用C++程序设计语言,GDI图形处理和软件工程技术进行研究相关内容的程序设计。程序设计成果实现了边角网、导线网平差的自动化、智能化和高精度。用户可根据实际需要设置平差方案,进行最适合实际问题的平差计算。
【Abstract】 In recent years, as the development of infrastructure, the number of projects is growing. Mapping project is playing the role of basis and irreplaceable. Data processing is especially important in mapping project.The purpose of the research project is solve the problem of control systern intelligent data processing .The main topics of the project .The topic mainly studies the data structure of triangulateration network and traverse net;automaticlly search of the minimal independence circuit and shortest conforms to route; automatic calculation of approximate coordinates; caculation of observationequation coefficient; the composition and calculation of normal equation; adjust value’s caculation and accuracy assess and eliminate gross; variance component estimate; computer graphics scale and coordinate system’s setting; exhibition spot diagram of triangulateration network and traverse networt’s automatic drawing; error ellipse figure’s automatic drawing;the way of data entry and export;the content of date’s storage and management.Programming environment using Visual Studio2003, using C + + programming language; using technology of GDI graphics processing and software engineering.Program design results achieved error compensation’s automation, intelligent , high accuracy of triangulateration network and traverse net.Users can set the adjustment program according to actual needs,and conduct the adjustment calculation that most suitable to the practical problems.
【Key words】 Adjustment Program; Measure; Eliminate Gross; Variance Components Estimates;
- 【网络出版投稿人】 西安科技大学 【网络出版年期】2012年 01期
- 【分类号】P207.2
- 【被引频次】4
- 【下载频次】613