抄録
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.
本文言語 | English |
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ホスト出版物のタイトル | SII 2017 - 2017 IEEE/SICE International Symposium on System Integration |
出版社 | Institute of Electrical and Electronics Engineers Inc. |
ページ | 282-287 |
ページ数 | 6 |
巻 | 2018-January |
ISBN(電子版) | 9781538622636 |
DOI | |
出版ステータス | Published - 2018 2月 1 |
イベント | 2017 IEEE/SICE International Symposium on System Integration, SII 2017 - Taipei, Taiwan, Province of China 継続期間: 2017 12月 11 → 2017 12月 14 |
Other
Other | 2017 IEEE/SICE International Symposium on System Integration, SII 2017 |
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国/地域 | Taiwan, Province of China |
City | Taipei |
Period | 17/12/11 → 17/12/14 |
ASJC Scopus subject areas
- モデリングとシミュレーション
- 器械工学
- 人工知能
- コンピュータ サイエンスの応用
- 工学(その他)
- 材料科学(その他)
- 制御と最適化