Proceedings of the 2015 International Conference on Management, Education, Information and Control

Research on the Path Planning in Desulfurization Plant

Authors
Jian Du, Wenjie Xie
Corresponding Author
Jian Du
Available Online June 2015.
DOI
10.2991/meici-15.2015.40How to use a DOI?
Keywords
Automatic Charging; Visibility Graph Algorithm; Detecting Robot; Path Planning
Abstract

With the gradual improvement of urban construction, hydrogen sulfide detection in desulfurization plant becomes increasingly intelligent. To solve the problem of the detecting robot automatic charging path planning in desulfurization plant, this paper presents an improved global path planning algorithm based on visibility graph algorithm, but overcomes the low efficiency and poor flexibility of the traditional visibility graph algorithms. In the process of modeling, this paper regards a variety of obstacles in the desulfurization plant environment as an approximate rectangle combination, draws a real-time obstacle map, and then simulates in the real-time obstacle map to verify the effectiveness and feasibility of the improved global path algorithm.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Conference on Management, Education, Information and Control
Series
Advances in Intelligent Systems Research
Publication Date
June 2015
ISBN
10.2991/meici-15.2015.40
ISSN
1951-6851
DOI
10.2991/meici-15.2015.40How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jian Du
AU  - Wenjie Xie
PY  - 2015/06
DA  - 2015/06
TI  - Research on the Path Planning in Desulfurization Plant
BT  - Proceedings of the 2015 International Conference on Management, Education, Information and Control
PB  - Atlantis Press
SP  - 202
EP  - 206
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-15.2015.40
DO  - 10.2991/meici-15.2015.40
ID  - Du2015/06
ER  -