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author:

Yao, Wenjie (Yao, Wenjie.) [1] | Zhang, Hao (Zhang, Hao.) [2] | Luo, Ruikai (Luo, Ruikai.) [3] | Fu, Jianding (Fu, Jianding.) [4] | Bai, Wei (Bai, Wei.) [5] | Zheng, Pengwei (Zheng, Pengwei.) [6] | Wei, Rongshan (Wei, Rongshan.) [7] (Scholars:魏榕山) | Chen, Zhizhong (Chen, Zhizhong.) [8]

Indexed by:

EI

Abstract:

—A wireless sensor network for positioning an inspection robot is developed for a transmission pipe gallery environment. The time difference of the arrival algorithm optimized by the least squares method is utilized to realize the wireless positioning function of the robot in the inspection process. The developed system adopts a spiral configuration to install the sensor nodes at equal intervals on the sidewall of the transmission pipe gallery, and only 10 sensor nodes closest to the wireless signal transmission source are activated for each measurement, which avoids the poor long-distance measurement effect of the sensor, ensures sufficient accuracy, and reduces calculation costs. A wireless positioning simulation test was conducted in an experimental transmission corridor environment. The error of the simulation results is equivalent to the measurement error of a single sensor, and the error is not accumulated in the calculation of the algorithm, indicating that the algorithm has achieved good results. © 2023 Institute of Physics Publishing. All rights reserved.

Keyword:

Errors Inspection Least squares approximations Robots Sensor nodes Time difference of arrival Transmissions

Community:

  • [ 1 ] [Yao, Wenjie]State Grid Fujian Electric Power Company Limited Information & Communication branch, Fuzhou; 350000, China
  • [ 2 ] [Zhang, Hao]State Grid Fujian Electric Power Company Limited Information & Communication branch, Fuzhou; 350000, China
  • [ 3 ] [Luo, Ruikai]State Grid Fujian Electric Power Co., Ltd. Fuzhou Electric Power Supply Company, Fuzhou; 350000, China
  • [ 4 ] [Fu, Jianding]State Grid Smart Grid Research Institute Co., Ltd., Beijing; 102209, China
  • [ 5 ] [Bai, Wei]State Grid Smart Grid Research Institute Co., Ltd., Beijing; 102209, China
  • [ 6 ] [Zheng, Pengwei]School of Physics and Information Engineering, Fuzhou University, Fujian; 350116, China
  • [ 7 ] [Wei, Rongshan]School of Physics and Information Engineering, Fuzhou University, Fujian; 350116, China
  • [ 8 ] [Chen, Zhizhong]State Grid Fujian Electric Power Co., Ltd. Fuzhou Electric Power Supply Company, Fuzhou; 350000, China

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ISSN: 1742-6588

Year: 2023

Issue: 1

Volume: 2584

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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