Research and Application of Precise Trigonometric Leveling to Replace Second-order Leveling Based on Intelligent Total Station

doi:10.13474/j.cnki.11-2246.2016.0062.

测绘通报 ›› 2016, Vol. 0 ›› Issue (2): 107-109.doi: 10.13474/j.cnki.11-2246.2016.0062.

Previous Articles Next Articles

Research and Application of Precise Trigonometric Leveling to Replace Second-order Leveling Based on Intelligent Total Station

KONG Ning, LIN Hong, OU Haiping, LIU Yeguang, LUO Feng

Received:2015-01-26 Online:2016-02-25 Published:2016-03-08

Abstract

CLC Number:

P258

KONG Ning, LIN Hong, OU Haiping, LIU Yeguang, LUO Feng. Research and Application of Precise Trigonometric Leveling to Replace Second-order Leveling Based on Intelligent Total Station[J]. 测绘通报, 2016, 0(2): 107-109.

[1]	ZHOU Zhiwei, CHENG Xiang, ZHOU Wei, HAO Weifeng, XIAO Haibin, CHEN Hongjie, YANG Kui. Application of ground SAR in landslide deformation monitoring [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 60-63.
[2]	LI Jiahao, ZHOU Lü, MA Jun, YANG Fei, XIAN Lingxiao. Deformation monitoring and mechanism analysis of urban subway line based on PS-InSAR technology [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 20-25.
[3]	ZHANG Chi, BAI Zhihui, LI Liang, CHEN Ranli, WU Kan. Deformation monitoring of bridge structure in mining area using 3D laser scanning technology [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 122-129.
[4]	PAN Dongfeng, YANG Chao, WU Yitong, TAN Tian, ZHANG Delin. Section extraction and deformation monitoring analysis of metro tunnel using TLS technology [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 130-133.
[5]	XIONG Chunbao, PANG Hongxing, WANG Meng, SHI Qingfa. Application of multi-filter algorithm based on ICEEMDAN in dynamic deformation monitoring of super high-rise structures [J]. Bulletin of Surveying and Mapping, 2022, 0(3): 152-156.
[6]	JIANG Liutao, WANG Huiqing, HU Qian. Application of automatic measurement system for pipe jacking used in curve designed axis tunnel [J]. Bulletin of Surveying and Mapping, 2021, 0(11): 161-164,168.
[7]	LIU Shaoping, YANG Yongbo, ZHANG Dongsheng, ZHAO Fang, ZOU Yu. An improved method of the non-contact measuring method of bridge deflections based on monocular vision [J]. Bulletin of Surveying and Mapping, 2021, 0(10): 98-102.
[8]	YANG Chunyu, REN Xingda, JIANG Huinan, YUAN Yue, WANG Zilin. Analysis of combined prediction model of subway deformation based on wavelet denoising [J]. Bulletin of Surveying and Mapping, 2021, 0(10): 127-131.
[9]	PENG Shugang, WANG Dacheng, TAN Junhui, AO Xuanfeng, YU Jiaying. A video intelligent detection method for urban underground drainage pipe based on improved convolutional neural network [J]. Bulletin of Surveying and Mapping, 2021, 0(10): 132-135,167.
[10]	YU Jianwei, LIAO Jianghai, CHEN Zhipeng, XIONG Yonggang, XIONG Zhimin. A tunnel segment segmentation and section extraction based on point cloud model of cross-section datum plane [J]. Bulletin of Surveying and Mapping, 2021, 0(10): 159-162.
[11]	HUANG Jiabin, GUO Yunkai, LUO Weimao. Monitoring land subsidence in Wuhan city based on Sentinel-1 [J]. Bulletin of Surveying and Mapping, 2021, 0(9): 53-58.
[12]	CHEN Youliang, CHEN Yang, XIAO Gang, TAO Jianhui. Dam deformation prediction model based on IBA-ELM model [J]. Bulletin of Surveying and Mapping, 2021, 0(9): 68-73.
[13]	HAN Fuqing, GUO Guohe, YANG Chengkun, WU Yongsheng, WANG Weili, LI Cailin. Automatic detection method of position and posture of high bridge piers based on detecting projection line of point cloud [J]. Bulletin of Surveying and Mapping, 2021, 0(9): 130-135,150.
[14]	LIU Xinyu, WANG Yong, TANG Chao. Application of static leveling automatic measurement technology in subway tunnel structure monitoring [J]. Bulletin of Surveying and Mapping, 2021, 0(8): 69-73.
[15]	ZHAO Lifeng, TANG Chao, WANG Li, WANG Yong. Analysis on the deformation law of the cross-river shield tunnel of Wuhan metro line 4 in flood season [J]. Bulletin of Surveying and Mapping, 2021, 0(8): 74-77.

Research and Application of Precise Trigonometric Leveling to Replace Second-order Leveling Based on Intelligent Total Station

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments