| _version_ | 1866901530876051456 |
|---|---|
| author | P.Kavya Sri, R.Gyaneswar Naidu, S.Tarun Kumar, CH.Y.Sudhir Varma, N.Bhargav, N.Jahnavi, Mrs.P.Amrutha |
| author_facet | P.Kavya Sri, R.Gyaneswar Naidu, S.Tarun Kumar, CH.Y.Sudhir Varma, N.Bhargav, N.Jahnavi, Mrs.P.Amrutha |
| contents | <div class="box"> <div class="abs-text">Real-time weather and air quality monitoring systems are rapidly emerging as essential solutions for maintaining environmental safety and public health due to their ability to provide continuous and accurate data on atmospheric conditions. With increasing urbanization, industrialization, and rising pollution levels, the need for efficient and low-cost monitoring systems has become a major area of research. This paper presents the design and development of a real-time weather and air quality monitoring system using IoT sensors. The proposed system integrates an Arduino Nano, a PMS5003 Sensor for measuring particulate matter (PM1.0, PM2.5, PM10), and an SHT21 Sensor for sensing temperature and humidity. A PMIO module is used for efficient sensor interfacing, and an LED display is employed for real-time visualization of environmental parameters. The system is designed to continuously collect, process, and display data, ensuring reliable performance with optimized power consumption. Experimental results indicate that the developed prototype provides stable and reliable real-time monitoring of environmental parameters. The system demonstrates consistent performance in measuring temperature, humidity, and particulate matter levels under varying environmental conditions, with particulate matter detection in the range of PM1.0, PM2.5, and PM10. Although minor variations in accuracy may occur due to environmental factors and sensor limitations, the system remains cost-effective and suitable for practical applications such as campus monitoring and pollution analysis. The proposed weather and air quality monitoring system is particularly suitable for applications such as campus environmental monitoring, smart cities, and industrial pollution analysis. Furthermore, the design provides a scalable platform for future enhancements such as cloud-based data storage, mobile application integration, real-time alerts, and IoT-based remote monitoring systems, thereby improving system efficiency, accessibility, and overall performance.</div> </div> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19666653 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Real-Time Weather Monitoring Using IoT Sensors P.Kavya Sri, R.Gyaneswar Naidu, S.Tarun Kumar, CH.Y.Sudhir Varma, N.Bhargav, N.Jahnavi, Mrs.P.Amrutha <div class="box"> <div class="abs-text">Real-time weather and air quality monitoring systems are rapidly emerging as essential solutions for maintaining environmental safety and public health due to their ability to provide continuous and accurate data on atmospheric conditions. With increasing urbanization, industrialization, and rising pollution levels, the need for efficient and low-cost monitoring systems has become a major area of research. This paper presents the design and development of a real-time weather and air quality monitoring system using IoT sensors. The proposed system integrates an Arduino Nano, a PMS5003 Sensor for measuring particulate matter (PM1.0, PM2.5, PM10), and an SHT21 Sensor for sensing temperature and humidity. A PMIO module is used for efficient sensor interfacing, and an LED display is employed for real-time visualization of environmental parameters. The system is designed to continuously collect, process, and display data, ensuring reliable performance with optimized power consumption. Experimental results indicate that the developed prototype provides stable and reliable real-time monitoring of environmental parameters. The system demonstrates consistent performance in measuring temperature, humidity, and particulate matter levels under varying environmental conditions, with particulate matter detection in the range of PM1.0, PM2.5, and PM10. Although minor variations in accuracy may occur due to environmental factors and sensor limitations, the system remains cost-effective and suitable for practical applications such as campus monitoring and pollution analysis. The proposed weather and air quality monitoring system is particularly suitable for applications such as campus environmental monitoring, smart cities, and industrial pollution analysis. Furthermore, the design provides a scalable platform for future enhancements such as cloud-based data storage, mobile application integration, real-time alerts, and IoT-based remote monitoring systems, thereby improving system efficiency, accessibility, and overall performance.</div> </div> |
| title | Real-Time Weather Monitoring Using IoT Sensors |
| url | https://doi.org/10.5281/zenodo.19666653 |