{"title":"Adjustment Model of CPIII Height Control Network which Taking Vertical Angle as Observation Value","authors":"Jianzhang Li","doi":"10.1109/ISCSIC54682.2021.00062","DOIUrl":null,"url":null,"abstract":"CPIII control network plays an important role in the construction and operation of high-speed railway. However, due to the large number of control points and the low efficiency of leveling, the field observation of CPIII elevation control network becomes a very time-consuming and laborious work. According to the fact that the vertical angle of CPIII control network is very small, a new adjustment model of CPIII elevation control network with vertical angle as observation value is proposed in this paper. The example shows that the model does not need to be weighted, and has the advantages of simple algorithm and higher precision.","PeriodicalId":431036,"journal":{"name":"2021 International Symposium on Computer Science and Intelligent Controls (ISCSIC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Symposium on Computer Science and Intelligent Controls (ISCSIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCSIC54682.2021.00062","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
CPIII control network plays an important role in the construction and operation of high-speed railway. However, due to the large number of control points and the low efficiency of leveling, the field observation of CPIII elevation control network becomes a very time-consuming and laborious work. According to the fact that the vertical angle of CPIII control network is very small, a new adjustment model of CPIII elevation control network with vertical angle as observation value is proposed in this paper. The example shows that the model does not need to be weighted, and has the advantages of simple algorithm and higher precision.