RTK配合全站仪法在土石方工程量计算中的应用
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  • 作者:辜超 ; 赵十璧 ; 郑钧予
  • 关键词:全站仪 ; 土石方量 ; DTM法 ; 南方CASS
  • 英文关键词:total station;;earthwork;;DTM method;;southern CASS
  • 中文刊名:CXYY
  • 英文刊名:Technology Innovation and Application
  • 机构:武汉市测绘研究院;
  • 出版日期:2019-03-18
  • 出版单位:科技创新与应用
  • 年:2019
  • 期:No.264
  • 语种:中文;
  • 页:CXYY201908074
  • 页数:2
  • CN:08
  • ISSN:23-1581/G3
  • 分类号:178-179
摘要
目前国家基础建设较以前发展更加迅速,管理更加规范,各级政府对工程的质量,造价,安全等要求更高,土石方工程作为各类工程项目的第一项重要分部工程,其准确度和工期要求显得尤为重要。传统的土方测量工作是采用先挖后算,根据取运土量计算,精度极低,而且存在很多人为因素的影响,随着科技的飞速发展特别是测量技术的不断进步,利用RTK配合全站仪技术再结合先进的计算机辅助制图软件如南方CASS软件,不仅可以在开挖前得到土方数据,而且可以大大提高精度,减少人为干扰,为缩短工期,提高工程质量起到了关键作用。
        At present, the national infrastructure is developing more rapidly than before, the management is more standardized,and the governments at all levels have higher requirements for the quality, cost, and safety of the project. earthwork is the first important branch project of all kinds of engineering projects. Its accuracy and time limit requirements are particularly important. The traditional earthwork survey work is to dig first and then calculate. According to the amount of earth taken, the accuracy is very low,and there are many human factors, with the rapid development of science and technology, especially the continuous progress of surveying technology, By using RTK combined with total station technology and advanced computer aided mapping software such as southern CASS software, not only earthwork data can be obtained before excavation, but also accuracy can be greatly improved, human interference can be reduced, and in order to shorten the construction period, Improving the quality of the project has played a key role.
引文
[1]潘正风,程效军,等.数字地形测量学[M].武汉:武汉大学出版社,2015.
    [2]倪晓东.南方地形地籍成图软件CASS9.2参考手册[Z].广东南方数码科技有限公司,2014(2).
    [3]CH/T 2009-201.全球定位系统实时动态测量(RTK)技术规范[S].中华人民共和国测绘行业标准,2010.
    [4]唐军武,田国良,汪小勇,等.水体光谱测量与分析I:水面以上测量法[J].遥感学报,2004.
    [5]Curtis D.Mobley Estimation of the remote-sensing reflectance from above-surface measurements.
    [6]Gao,B.-C.and A.F.H.Goetz(1990)Column atmospheric water vapor retrievals from airborne imaging spectrometer data.

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