A reliable communication and localization method for gas pipeline robot chain based on RSSI theory

Wen Zhao; Mitsuhiro Kamezaki; Kento Yoshida; Minoru Konno; Ryoichi Toriumi; Shigeki Sugano

doi:10.1109/SII.2017.8279226

A reliable communication and localization method for gas pipeline robot chain based on RSSI theory

Wen Zhao, Mitsuhiro Kamezaki, Kento Yoshida, Minoru Konno, Ryoichi Toriumi, Shigeki Sugano

Waseda Research Institute for Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

Abstract

Due to the huge microwave attenuation in small steel gas pipelines, the wireless in-pipe robots are unable to complete the inspection and maintenance in long distance. In this research, an approach of a reliable communication and localization method based on Received Signal Strength Indication (RSSI) theory and ultrasonic measurement for gas pipeline robot chain is proposed. Without any GPS modules in the pipe, the robots are able to measure and calculate a certain distance from the adjacent one by detecting and estimating the received wireless signal strength. Such approach enables the all members among the robot chain to cooperate and coordinate, and finally complete the pipeline inspection and maintenance. In addition, this paper describes a 'leader-follower' control approach in pipe to support the RSSI-based communication. The leader robot is responsible for the task of whole pipe inspection with wireless remote control by operator, and the follower robots act as the wireless 'signal relay station' for communication. Finally, such pipe robot chain cooperate and coordinate together, so that they are able to complete the inspection successfully. We evaluate the performance of the proposed method by using virtual reality simulation. The simulation result indicated that the proposed method could realize the reliable wireless communication and localization for the pipeline robots.

Original language	English
Title of host publication	SII 2017 - 2017 IEEE/SICE International Symposium on System Integration
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	282-287
Number of pages	6
Volume	2018-January
ISBN (Electronic)	9781538622636
DOIs	https://doi.org/10.1109/SII.2017.8279226
Publication status	Published - 2018 Feb 1
Event	2017 IEEE/SICE International Symposium on System Integration, SII 2017 - Taipei, Taiwan, Province of China Duration: 2017 Dec 11 → 2017 Dec 14

Other

Other	2017 IEEE/SICE International Symposium on System Integration, SII 2017
Country/Territory	Taiwan, Province of China
City	Taipei
Period	17/12/11 → 17/12/14

ASJC Scopus subject areas

Modelling and Simulation
Instrumentation
Artificial Intelligence
Computer Science Applications
Engineering (miscellaneous)
Materials Science (miscellaneous)
Control and Optimization

Access to Document

10.1109/SII.2017.8279226

Cite this

Zhao, W., Kamezaki, M., Yoshida, K., Konno, M., Toriumi, R., & Sugano, S. (2018). A reliable communication and localization method for gas pipeline robot chain based on RSSI theory. In SII 2017 - 2017 IEEE/SICE International Symposium on System Integration (Vol. 2018-January, pp. 282-287). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SII.2017.8279226

A reliable communication and localization method for gas pipeline robot chain based on RSSI theory. / Zhao, Wen; Kamezaki, Mitsuhiro; Yoshida, Kento et al.
SII 2017 - 2017 IEEE/SICE International Symposium on System Integration. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 282-287.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Zhao, W, Kamezaki, M, Yoshida, K, Konno, M, Toriumi, R & Sugano, S 2018, A reliable communication and localization method for gas pipeline robot chain based on RSSI theory. in SII 2017 - 2017 IEEE/SICE International Symposium on System Integration. vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 282-287, 2017 IEEE/SICE International Symposium on System Integration, SII 2017, Taipei, Taiwan, Province of China, 17/12/11. https://doi.org/10.1109/SII.2017.8279226

@inproceedings{560abf2f60184350a77a678b9fd6ae9e,

title = "A reliable communication and localization method for gas pipeline robot chain based on RSSI theory",

abstract = "Due to the huge microwave attenuation in small steel gas pipelines, the wireless in-pipe robots are unable to complete the inspection and maintenance in long distance. In this research, an approach of a reliable communication and localization method based on Received Signal Strength Indication (RSSI) theory and ultrasonic measurement for gas pipeline robot chain is proposed. Without any GPS modules in the pipe, the robots are able to measure and calculate a certain distance from the adjacent one by detecting and estimating the received wireless signal strength. Such approach enables the all members among the robot chain to cooperate and coordinate, and finally complete the pipeline inspection and maintenance. In addition, this paper describes a 'leader-follower' control approach in pipe to support the RSSI-based communication. The leader robot is responsible for the task of whole pipe inspection with wireless remote control by operator, and the follower robots act as the wireless 'signal relay station' for communication. Finally, such pipe robot chain cooperate and coordinate together, so that they are able to complete the inspection successfully. We evaluate the performance of the proposed method by using virtual reality simulation. The simulation result indicated that the proposed method could realize the reliable wireless communication and localization for the pipeline robots.",

author = "Wen Zhao and Mitsuhiro Kamezaki and Kento Yoshida and Minoru Konno and Ryoichi Toriumi and Shigeki Sugano",

year = "2018",

month = feb,

day = "1",

doi = "10.1109/SII.2017.8279226",

language = "English",

volume = "2018-January",

pages = "282--287",

booktitle = "SII 2017 - 2017 IEEE/SICE International Symposium on System Integration",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "2017 IEEE/SICE International Symposium on System Integration, SII 2017 ; Conference date: 11-12-2017 Through 14-12-2017",

}

TY - GEN

T1 - A reliable communication and localization method for gas pipeline robot chain based on RSSI theory

AU - Zhao, Wen

AU - Kamezaki, Mitsuhiro

AU - Yoshida, Kento

AU - Konno, Minoru

AU - Toriumi, Ryoichi

AU - Sugano, Shigeki

PY - 2018/2/1

Y1 - 2018/2/1

N2 - Due to the huge microwave attenuation in small steel gas pipelines, the wireless in-pipe robots are unable to complete the inspection and maintenance in long distance. In this research, an approach of a reliable communication and localization method based on Received Signal Strength Indication (RSSI) theory and ultrasonic measurement for gas pipeline robot chain is proposed. Without any GPS modules in the pipe, the robots are able to measure and calculate a certain distance from the adjacent one by detecting and estimating the received wireless signal strength. Such approach enables the all members among the robot chain to cooperate and coordinate, and finally complete the pipeline inspection and maintenance. In addition, this paper describes a 'leader-follower' control approach in pipe to support the RSSI-based communication. The leader robot is responsible for the task of whole pipe inspection with wireless remote control by operator, and the follower robots act as the wireless 'signal relay station' for communication. Finally, such pipe robot chain cooperate and coordinate together, so that they are able to complete the inspection successfully. We evaluate the performance of the proposed method by using virtual reality simulation. The simulation result indicated that the proposed method could realize the reliable wireless communication and localization for the pipeline robots.

AB - Due to the huge microwave attenuation in small steel gas pipelines, the wireless in-pipe robots are unable to complete the inspection and maintenance in long distance. In this research, an approach of a reliable communication and localization method based on Received Signal Strength Indication (RSSI) theory and ultrasonic measurement for gas pipeline robot chain is proposed. Without any GPS modules in the pipe, the robots are able to measure and calculate a certain distance from the adjacent one by detecting and estimating the received wireless signal strength. Such approach enables the all members among the robot chain to cooperate and coordinate, and finally complete the pipeline inspection and maintenance. In addition, this paper describes a 'leader-follower' control approach in pipe to support the RSSI-based communication. The leader robot is responsible for the task of whole pipe inspection with wireless remote control by operator, and the follower robots act as the wireless 'signal relay station' for communication. Finally, such pipe robot chain cooperate and coordinate together, so that they are able to complete the inspection successfully. We evaluate the performance of the proposed method by using virtual reality simulation. The simulation result indicated that the proposed method could realize the reliable wireless communication and localization for the pipeline robots.

UR - http://www.scopus.com/inward/record.url?scp=85050805230&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85050805230&partnerID=8YFLogxK

U2 - 10.1109/SII.2017.8279226

DO - 10.1109/SII.2017.8279226

M3 - Conference contribution

AN - SCOPUS:85050805230

VL - 2018-January

SP - 282

EP - 287

BT - SII 2017 - 2017 IEEE/SICE International Symposium on System Integration

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 IEEE/SICE International Symposium on System Integration, SII 2017

Y2 - 11 December 2017 through 14 December 2017

ER -

A reliable communication and localization method for gas pipeline robot chain based on RSSI theory

Abstract

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this