基于载波相位差分的电力铁塔塔身主材形变检测算法

doi:10.13229/j.cnki.jdxbgxb.20230511

Abstract

Abstract:

At present， the detection algorithm cannot accurately detect the deformation of the main material of the power tower body. Therefore， a carrier phase difference based deformation detection algorithm for the main material of the power tower body was proposed. Firstly， combining local mean decomposition method and support vector regression machine to detect and repair cycle jumps in satellite signals.Secondly， a carrier phase differential detection model was established， and during the deformation detection process， the detection model was updated through Kalman filtering. Finally， the LAMBDA algorithm was used to calculate the integer ambiguity in the carrier phase differential detection model， and the calculation results are substituted into the model. The updated carrier phase differential detection model is used to detect the deformation of the main material of the power tower body. The experimental results show that the proposed algorithm has high cycle slip detection accuracy， good repair effect， and high deformation detection accuracy.

Key words: carrier phase difference, local mean decomposition, support vector regression machine, LAMBDA algorithm, deformation detection

CLC Number:

TN967.1

Yi-yan LIU,Jie DAI. Deformation detection algorithm for main materials of power tower based on carrier phase difference[J].Journal of Jilin University(Engineering and Technology Edition), 2024, 54(12): 3693-3698.

Figures/Tables 5

Fig.1

Fig.2

Fig.3

Fig.4

Table 1

References 13

1	孙启刚,宋卓彦,鉴庆之,等.基于无线传感网的输电铁塔结构健康状态监测技术及应用[J].工业建筑,2022,52(10):224-228.
	Sun Qi-gang, Song Zhuo-yan, Jian Qing-zhi, et al. Wireless sensor network-based health status monitoring technology for transmission tower structures and its application [J]. Industrial Construction, 2022, 52(10): 224-228.
2	王彦海,刘晓亮,任文强,等.滑坡区输电塔线体系抗变形能力及动力响应分析[J].科学技术与工程,2021,21(25):10725-10731.
	Wang Yan-hai, Liu Xiao-liang, Ren Wen-qiang, et al. Anti-deformation ability and dynamic response analysis of transmission tower-line system in landslide area[J]. Science Technology and Engineering, 2021,21(25): 10725-10731.
3	袁梦超,沈小军,杜勇.超特高压输电铁塔倾斜度数字化智能测量算法[J].高电压技术,2022,48(8):3001-3011.
	Yuan Meng-chao, Shen Xiao-jun, Du Yong. Digital intelligent measurement algorithm of inclination for EHV and UHV transmission line tower [J]. High Voltage Engineering, 2022,48 (8): 3001-3011.
4	陈广华,葛梦莹,黄白瑶,等.基于双目视觉的电力塔倾斜检测方法[J].北京交通大学学报,2022,46(2):128-137.
	Chen Guang-hua, Ge Meng-ying, Huang Bai-yao, et al. Binocular vision-based tilt detection method for power towers[J]. Journal of Beijing Jiaotong University, 2022,46(2): 128-137.
5	郭泽辉,庞春雷,张闯,等. INS辅助的动态北斗双频周跳探测与修复方法[J].航天控制,2021,39(3):43-48, 55.
	Guo Ze-hui, Pang Chun-lei, Zhang Chuang, et al. Dynamic BDS double-frequency cycle-slip detection and repair method aided by INS[J]. Aerospace Control, 2021,39(3): 43-48, 55.
6	章繁,柴洪洲,肖国锐,等. 一种Galileo五频周跳探测与修复新方法[J].中国惯性技术学报,2021,29(2):154-163.
	Zhang Fan, Chai Hong-zhou, Xiao Guo-rui, et al. A new method of Galileo five frequency cycle slip detection and repair[J]. Journal of Chinese Inertial Technology, 2021,29(2): 154-163.
7	门宝辉,常溶溶.基于局部均值分解和最大熵谱估计的径流分析[J].水力发电学报,2021,40(9):27-34.
	Bao-hui Men, Chang Rong-rong. Runoff analysis based on local mean decomposition and maximum entropy spectrum estimation[J]. Journal of Hydroelectric Engineering, 2021,40(9): 27-34.
8	郭广颂,高海荣,张勇.基于迁移学习灰支持向量回归机的交互式进化计算[J].控制与决策,2021,36(10): 2399-2408.
	Guo Guang-song, Gao Hai-rong, Zhang Yong. Interactive evolutionary computation based on transfer learning grey support vector regression[J]. Control and Decision, 2021,36(10): 2399-2408.
9	汪金胜,李永乐,杨剑,等.基于贝叶斯支持向量回归机的自适应可靠度分析方法[J].计算力学学报,2022,39(4):488-497.
	Wang Jin-sheng, Li Yong-le, Yang Jian, et al. Adaptive algorithm based on Bayesian support vector regression for structural reliability analysis[J]. Chinese Journal of Computational Mechanics, 2022, 39(4): 488-497.
10	范绍帅,荣志强,田辉,等.基于载波相位的高精度室内快速定位算法[J].通信学报,2022,43(1):172-181.
	Fan Shao-shuai, Rong Zhi-qiang, Tian Hui, et al. High-precision indoor fast positioning algorithm based on carrier phase[J]. Journal on Communications, 2022,43(1): 172-181.
11	何维,岳紫颖,周牧,等.基于载波相位差值的室内Wi-Fi定位方法[J].北京邮电大学学报,2021,44(4):19-25.
	He Wei, Yue Zi-ying, Zhou Mu, et al. Indoor Wi-Fi localization method based on carrier phase difference[J]. Journal of Beijing University of Posts and Telecommunications, 2021,44(4): 19-25.
12	包龙生,陶天阳,于玲,等.基于北斗系统的桥梁高精度监测算法研究[J].广西大学学报: 自然科学版,2022,47(2):311-319.
	Bao Long-sheng, Tao Tian-yang, Yu Ling, et al. Research on high precision monitoring algorithm for bridges based on Beidou system[J]. Journal of Guangxi University(Natural Science Edition), 2022,47(2): 311-319.
13	邓洪高, 程归, 纪元法,等. 基于AWDE算法的整周模糊度解算算法[J]. 计算机仿真, 2022, 39(8):327-332.
	Deng Hong-gao, Cheng Gui, Ji Yuan-fa, et al. Integer ambiguity resolution based on adaptive weighting differential evolution algorithm[J]. computer simulation, 2022,39(8): 327-332.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

Comments

Recommended 10

[1]	LI Shoutao, LI Yuanchun. Autonomous Mobile Robot Control Algorithm Based on Hierarchical Fuzzy Behaviors in Unknown Environments[J]. 吉林大学学报(工学版), 2005, 35(04): 391 -397 .
[2]	Liu Qing-min，Wang Long-shan，Chen Xiang-wei，Li Guo-fa. Ball nut detection by machine vision[J]. 吉林大学学报(工学版), 2006, 36(04): 534 -538 .
[3]	Li Hong-ying; Shi Wei-guang;Gan Shu-cai. Electromagnetic properties and microwave absorbing property of Z type hexaferrite Ba_3-xLa_xCo₂Fe₂₄O₄₁[J]. 吉林大学学报(工学版), 2006, 36(06): 856 -0860 .
[4]	Zhang Quan-fa，Li Ming-zhe，Sun Gang，Ge Xin . Comparison between flexible and rigid blank-holding in multi-point forming[J]. 吉林大学学报(工学版), 2007, 37(01): 25 -30 .
[5]	Yang Shu-kai, Song Chuan-xue, An Xiao-juan, Cai Zhang-lin . Analyzing effects of suspension bushing elasticity on vehicle yaw response character with virtual prototype method[J]. 吉林大学学报(工学版), 2007, 37(05): 994 -0999 .
[6]	. [J]. 吉林大学学报(工学版), 2007, 37(06): 1284 -1287 .
[7]	Che Xiang-jiu，Liu Da-you，Wang Zheng-xuan . Construction of joining surface with G¹ continuity for two NURBS surfaces[J]. 吉林大学学报(工学版), 2007, 37(04): 838 -841 .
[8]	Liu Han-bing, Jiao Yu-ling, Liang Chun-yu,Qin Wei-jun . Effect of shape function on computing precision in meshless methods[J]. 吉林大学学报(工学版), 2007, 37(03): 715 -0720 .
[9]	. [J]. 吉林大学学报(工学版), 2007, 37(04): 0 .
[10]	Li Yue-ying，Liu Yong-bing，Chen Hua . Surface hardening and tribological properties of a cam materials[J]. 吉林大学学报(工学版), 2007, 37(05): 1064 -1068 .

算法	方向	误差/mm
本文	x	0.03
	y	0.01
	z	0.02
文献［3］	x	0.56
	y	0.57
	z	0.61
文献［4］	x	0.48
	y	0.53
	z	0.69

Deformation detection algorithm for main materials of power tower based on carrier phase difference

RICH HTML

PDF (PC)

Abstract

Cite this article

share this article

Figures/Tables 5

References 13

Related Articles 1

Metrics

Comments

Recommended 10