Remote Locations Enhanced Safety Using Drone Technology

Abstract Drones, also referred to as unmanned aerial vehicles, or UAVs, have shown a growing potential for enhancing operational safety in high-risk industries. A low-cost, embedded UAV platform with environmental sensors and thermal imaging is presented in this paper for proactive safety monitoring at distant oil and gas locations. The system conducts autonomous inspections to identify early-stage anomalies prior to equipment start-up or human entry by combining sensors like flame, gas, smoke, humidity, temperature, and distance modules with an Arduino microcontroller. The platform's sensitivity to environmental risks, such as gas leaks and overheating, was confirmed by controlled field tests. The suggested system minimizes manual intervention and allows early risk detection because it runs continuously, unlike traditional survey drones. According to the findings, operational safety is greatly improved, downtime is decreased, and a foundation is provided by real-time drone-based monitoring for future AI-enabled inspection systems.

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Publication Details

Published
2025-09-16
DOI
https://doi.org/10.2118/227532-ms
Primary Topic
UAV Applications and Optimization
Type
article
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article

Remote Locations Enhanced Safety Using Drone Technology

A. Alkhawaher, M. Alzaben, F. Alkhawaher
UAV Applications and Optimization
article

Remote Locations Enhanced Safety Using Drone Technology

A. Alkhawaher, M. Alzaben, F. Alkhawaher
article en

Abstract

Abstract Drones, also referred to as unmanned aerial vehicles, or UAVs, have shown a growing potential for enhancing operational safety in high-risk industries. A low-cost, embedded UAV platform with environmental sensors and thermal imaging is presented in this paper for proactive safety monitoring at distant oil and gas locations. The system conducts autonomous inspections to identify early-stage anomalies prior to equipment start-up or human entry by combining sensors like flame, gas, smoke, humidity, temperature, and distance modules with an Arduino microcontroller. The platform's sensitivity to environmental risks, such as gas leaks and overheating, was confirmed by controlled field tests. The suggested system minimizes manual intervention and allows early risk detection because it runs continuously, unlike traditional survey drones. According to the findings, operational safety is greatly improved, downtime is decreased, and a foundation is provided by real-time drone-based monitoring for future AI-enabled inspection systems.

King Faisal University (SA)
Openalex Percentile: Top 67%
UAV Applications and Optimization
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Remote Locations Enhanced Safety Using Drone Technology — A. Alkhawaher, M. Alzaben, et al. · (2025) | TGRS Research Map | TGRS