Iftekhar Uddin Mullick, Khan Atik Faisal, Tarikul Islam Nishat, Prof. Dr. Engr. Muhibul Haque Bhuyan
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The air pollution analyzer system was designed using a combination of hardware and software techniques to measure air pollution properly. \nPlace and Period of Study: The research was accomplished by the authors in a group of two students under the grasp of a professor as a part of one of his course capstone projects for the Bachelor of Science in Electrical and Electronic Engineering degree at the American International University Bangladesh (AIUB), Dhaka, Bangladesh. The authors performed their investigative tasks at AIUB from September 2023 to February 2024. \nMethodology: The air pollution analyzer was implemented using an Arduino Uno and dust sensor to generate and determine accurate air quality based on specific air contents. The system that was developed used a PM10 detection system that identified the amount of dust particles in the area. Based on PM10 readings, the air quality was identified. Moreover, the Air Quality Index (AQI) was determined using the PM10 readings. The LCD, buzzer, and multiple LEDs were used to display and indicate the air quality condition and levels. \nResults: The portable air pollution analyzer was successfully tested and found to be accurate and reliable in determining air quality. To indicate different hazardous states of air, red, green, and yellow color LEDs are used. The test outcomes were very satisfactory. \nConclusion: This system demonstrates the use of a microcontroller in building a simple yet effective portable air quality detector. 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引用次数: 0
摘要
研究目的:本研究的主要特点是设计一种能够分析系统周围空气并确定空气质量的电路。研究设计:本文报告了使用 Arduino Uno、DSM501A 灰尘传感器、LCD、开关、蜂鸣器和多个 LED 灯设计和实现的便携式空气污染分析仪。该空气污染分析仪系统的设计结合了硬件和软件技术,以正确测量空气污染。研究地点和时间:这项研究是作者在孟加拉国达卡的孟加拉国美国国际大学(AIUB)电气与电子工程理学学士学位课程的一个毕业设计项目中,在一名教授的指导下,由两名学生组成的小组完成的。作者于 2023 年 9 月至 2024 年 2 月在 AIUB 完成了调查任务。研究方法:空气污染分析仪是使用 Arduino Uno 和灰尘传感器实现的,可根据特定的空气含量生成并确定准确的空气质量。所开发的系统使用 PM10 检测系统来识别该地区的灰尘颗粒数量。根据 PM10 的读数,可以确定空气质量。此外,空气质量指数(AQI)也是通过 PM10 读数确定的。液晶显示屏、蜂鸣器和多个 LED 灯用于显示和指示空气质量状况和水平。结果便携式空气污染分析仪测试成功,在确定空气质量方面准确可靠。为了显示空气中不同的有害状态,使用了红色、绿色和黄色 LED 灯。测试结果非常令人满意。结论该系统展示了如何使用微控制器制造简单而有效的便携式空气质量检测器。它可以扩大规模,进行商业生产。
Portable Air Quality Detector Using DSM501A Dust Sensor and Arduino Uno
Aims: The primary feature of this research is to design a circuit that can analyze the air around the system and determine the quality of the air.
Study Design: This paper reports on the design and implementation of a portable air pollution analyzer using Arduino Uno, DSM501A dust sensor, LCD, switches, buzzer, and multiple LEDs. The air pollution analyzer system was designed using a combination of hardware and software techniques to measure air pollution properly.
Place and Period of Study: The research was accomplished by the authors in a group of two students under the grasp of a professor as a part of one of his course capstone projects for the Bachelor of Science in Electrical and Electronic Engineering degree at the American International University Bangladesh (AIUB), Dhaka, Bangladesh. The authors performed their investigative tasks at AIUB from September 2023 to February 2024.
Methodology: The air pollution analyzer was implemented using an Arduino Uno and dust sensor to generate and determine accurate air quality based on specific air contents. The system that was developed used a PM10 detection system that identified the amount of dust particles in the area. Based on PM10 readings, the air quality was identified. Moreover, the Air Quality Index (AQI) was determined using the PM10 readings. The LCD, buzzer, and multiple LEDs were used to display and indicate the air quality condition and levels.
Results: The portable air pollution analyzer was successfully tested and found to be accurate and reliable in determining air quality. To indicate different hazardous states of air, red, green, and yellow color LEDs are used. The test outcomes were very satisfactory.
Conclusion: This system demonstrates the use of a microcontroller in building a simple yet effective portable air quality detector. It can be scaled up for commercial production.