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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
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| Paper Title: | Bio-Inspired Sensing Integration with UAVs for Real-Time Odor Localization in Gas Factories |
| Authors Name: | Bhargavi Wath , Anushka Sen , Ms. Krithiga RS , Dr. Prashant GK |
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IJRTI_212396
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| Published Paper Id: | IJRTI2605114 |
| Published In: | Volume 11 Issue 5, May-2026 |
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| Abstract: | Gas leakage detection in industrial environments is a critical safety challenge due to the rapid dispersion and invisibility of hazardous gases such as ammonia, methane, and hydrogen sulfide. Conventional gas sensing technologies often suffer from limitations in sensitivity, selectivity, and response time, particularly in turbulent conditions. This paper presents a bio-inspired UAV-based system for real-time odor detection and localization. The proposed system utilizes advanced sensing and signal processing techniques to detect volatile compounds with high sensitivity. To achieve efficient source localization, a biologically inspired cast-and-surge search algorithm is implemented, enabling the UAV to navigate odor plumes by alternating between upwind movement during detection (surge) and crosswind exploration during signal loss (cast). To further enhance performance, a plume-based modeling algorithm is integrated, which improves detection capability in highly dispersed and turbulent gas conditions. This addition significantly enhances the practicality, robustness, and efficiency of the system in real-world industrial environments. The system operates autonomously with onboard processing and navigation modules. Experimental results demonstrate improved localization accuracy (below 1 m), faster convergence, and enhanced selectivity compared to conventional systems. The proposed approach provides an effective and scalable solution for gas leak detection in industrial environments. |
| Keywords: | Unmanned Aerial Vehicle (UAV), Gas Leak Detection, Odor Localization, Bio-Inspired Systems, Cast-and-Surge Algorithm, Plume Modeling, Gaussian Plume Model, Autonomous Navigation, Industrial Safety, Gas Sensors |
| Cite Article: | "Bio-Inspired Sensing Integration with UAVs for Real-Time Odor Localization in Gas Factories ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 5, page no.b97-b109, May-2026, Available :http://www.ijrti.org/papers/IJRTI2605114.pdf |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2605114
Registration ID:212396
Published In: Volume 11 Issue 5, May-2026
DOI (Digital Object Identifier):
Page No: b97-b109 Country: Sonipat, Haryana, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2605114 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2605114 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
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