Drone-Based Real- Time Air Pollution Monitoring for Low-Access Areas by Developing Mobile-Smart Sensing Technology

2023 3rd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST) Pub Date : 2023-01-07 DOI:10.1109/ICREST57604.2023.10070050

Istiak Ahammad Limon, Ali Daud Hossain, Khan Farhan Ibne Faruque, Mohammad Rejwan Uddin, Mahady Hasan

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引用次数: 2

Abstract

Due to the presence of hazardous gasses at high levels, some regions are physically very difficult for humans to approach. This paper presents a project idea seeks to simplify the task of monitoring the air quality in hard-to-reach areas. This would help to know the air quality of that region. The system was developed using the Arduino Uno microcontrollers and the NodeMcu microcontroller is used in the IoT interfacing of the system. The real-time monitoring, analysis of the air quality, and data logging to a remote server, which allows for continuous data updating online, are all features of the air pollution monitoring system. The system's specified air quality readings were precise. This system detects air pollutants including Carbon Monoxide (CO), Ozone (O3), Nitrogen Dioxide (NO2), Particular Matter (PM), and Sulfur Dioxide (SO2) and the result was displayed on the LCD interface and could be accessed via the cloud on any smart device using the internet with hazardous limits indications.

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基于无人机的低人迹罕至地区空气污染实时监测——开发移动智能传感技术

由于存在高浓度的有害气体，有些地区在物理上很难让人类接近。本文提出了一个旨在简化难以到达地区空气质量监测任务的项目构想。这将有助于了解该地区的空气质量。系统采用Arduino Uno微控制器开发，系统的物联网接口采用NodeMcu微控制器。空气污染监测系统的特点是实时监测、分析空气质量，并将数据记录到远程服务器，从而实现数据的连续在线更新。系统指定的空气质量读数是精确的。该系统检测空气污染物，包括一氧化碳(CO)、臭氧(O3)、二氧化氮(NO2)、特殊物质(PM)和二氧化硫(SO2)，结果显示在LCD界面上，可以通过云在任何智能设备上使用互联网访问危险限值指示。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2023 3rd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST)

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