Autonomous Mobile Robot for Gas Leak Localization

<div class="section abstract"><div class="htmlview paragraph">LIDAR-based autonomous mobile robots (AMRs) are gradually being used for gas detection in industries. They detect tiny changes in the composition of the environment in indoor areas that is too risky for humans, making it ideal for the detection of gases. This current work focusses on the basic aspect of gas detection and avoiding unwanted accidents in industrial sectors by using an AMR with LIDAR sensor capable of autonomous navigation and MQ2 a gas detection sensor for identifying the leakages including toxic and explosive gases, and can alert the necessary personnel in real-time by using simultaneous localization and mapping (SLAM) algorithm and gas distribution mapping (GDM). GDM in accordance with SLAM algorithm directs the robot towards the leakage point immediately thereby avoiding accidents. Raspberry Pi 4 is used for efficient data processing and hardware part accomplished with PGM45775 DC motor for movements with 2D LIDAR allowing 360° mapping. The adoption of LIDAR-based AMRs for gas detection is expected to increase in the future, as more industries realize the benefits of this technology.</div></div>

Authors

Publication Details

Journal
SAE technical papers on CD-ROM/SAE technical paper series
Published
2024-12-10
DOI
https://doi.org/10.4271/2024-01-5226
Citations
1
Primary Topic
Insect Pheromone Research and Control
Type
article
Field-Weighted Citation Impact
0.54
Controls
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article

Autonomous Mobile Robot for Gas Leak Localization

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1 citations
SAE technical papers on CD-ROM/SAE technical paper series
Insect Pheromone Research and Control
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article

Autonomous Mobile Robot for Gas Leak Localization

Jeffrey Scott Vitter, S. Madhankumar, Liakot Ali, V.C. Hariush, R. Jahath Pranav, J. Jayadeep
article en
1 citations

Abstract

<div class="section abstract"><div class="htmlview paragraph">LIDAR-based autonomous mobile robots (AMRs) are gradually being used for gas detection in industries. They detect tiny changes in the composition of the environment in indoor areas that is too risky for humans, making it ideal for the detection of gases. This current work focusses on the basic aspect of gas detection and avoiding unwanted accidents in industrial sectors by using an AMR with LIDAR sensor capable of autonomous navigation and MQ2 a gas detection sensor for identifying the leakages including toxic and explosive gases, and can alert the necessary personnel in real-time by using simultaneous localization and mapping (SLAM) algorithm and gas distribution mapping (GDM). GDM in accordance with SLAM algorithm directs the robot towards the leakage point immediately thereby avoiding accidents. Raspberry Pi 4 is used for efficient data processing and hardware part accomplished with PGM45775 DC motor for movements with 2D LIDAR allowing 360° mapping. The adoption of LIDAR-based AMRs for gas detection is expected to increase in the future, as more industries realize the benefits of this technology.</div></div>

SAE technical papers on CD-ROM/SAE technical paper seriesVol. 1
Industry, innovation and infrastructure
Openalex Percentile: Top 27%
Insect Pheromone Research and Control
0.54
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