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Autonomous Mobile Robot for Gas Leak Localization Sri Krishna College of Engineering and Technology, Mechatron

SAE Technical Papers (1906-current) Available online

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Format:
Book
Conference/Event
Author/Creator:
Feroz Ali, L., author.
Contributor:
Hariush, V.C.
Jahath Pranav, R.
Jayadeep, J.
Jeffrey, S.
Madhankumar, S.
Conference Name:
Automotive Technical Papers (2024-01-01 : Warrendale, Pennsylvania, United States)
Language:
English
Physical Description:
1 online resource cm
Place of Publication:
Warrendale, PA SAE International 2024
Summary:
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
Notes:
Vendor supplied data
Publisher Number:
2024-01-5226
Access Restriction:
Restricted for use by site license

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