An Implementation of IoT-Based Weather Monitoring System

Tsao, Yung-Chung; Tsai, Yin Te; Kuo, Yaw-Wen; Hwang, Chaokung

doi:10.1109/iucc/dsci/smartcns.2019.00135

Cited by 18 publications

(4 citation statements)

References 22 publications

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“…The paper [5] presented a solution for monitoring weather conditions in real-time using IoT technology and implemented a system that uses multiple sensors to collect weather data, which is then transmitted to a central hub for processing and analysis. The system is based on the Message Queuing Telemetry Transport (MQTT) technology, which enables easy communication between heterogeneous Relational Database Management Systems (RDBMS).…”

Section: Existing Methodsmentioning

confidence: 99%

Real Time Weather Monitoring System using IoT

Murthy,

Kumar,

Saikiran

et al. 2023

E3S Web Conf.

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The proposed project aims to use IoT technology to build a weather monitoring and reporting system which has the potential to improve the accuracy and reliability of weather data. Weather monitoring systems can collect real-time data on various weather conditions, such as temperature and humidity, using sensors and other IoT devices. This data can then be analysed and used to generate accurate and timely weather reports, which individuals and organizations can use for various purposes, such as agriculture, aviation, and disaster management. The aim of real-time weather monitoring using IoT is to collect, analyse, and disseminate accurate and timely information about the current weather conditions to individuals and organizations through web and mobile dashboards for decision-making purposes.

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Section: Existing Methodsmentioning

confidence: 99%

Real Time Weather Monitoring System using IoT

Murthy,

Kumar,

Saikiran

et al. 2023

E3S Web Conf.

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“…Wireless sensor networks have carried out a selfconfiguration and reconfigurations, and can adapt well to mobility as well as to a remote control [13]. Rather than webbased technologies, messaging technologies such as MQTT can be used in IoT systems [14]. This can help to separate system migration complexity and make it easier to build a distributed information system.…”

Section: Related Workmentioning

confidence: 99%

An IoT-based handheld environmental and air quality monitoring station

Aashiq,

Kurera,

Thilekaratne

et al. 2023

Acta IMEKO

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Weather and air quality play an important role in determining environmental pollution. Fluctuation of these parameters not only causes environmental pollution but also causes severe injuries to human health. With the emergence of the Internet of Things (IoT), sensor-based weather devices with easy observation facilities started to develop. In this regard, this study focused on developing an IoT-based portable weather monitoring gadget that can measure weather and air parameters which are more often required in our day-to-day life. The proposed system is capable to measure temperature, pressure, humidity, altitude, PM2.5, PM10 level, VOC, and CO level. It consists of a portable display and a mobile app with a thing speak cloud platform. Further, the system has a Wi-Fi and GSM connection to communicate data. A mobile application was developed to monitor the readings in real-time which are stored in the cloud platform. The developed hardware was carefully calibrated in the national meteorological department to make sure our system is practically usable. Compared to existing models, our prototype is very handholdable, easily installable which does not require trained technicians, and is easily maintainable. Also, it is possible to access the data from anywhere in the world through Wi-Fi connectivity, and possible to make data visualization and analysis. On the other hand, it is very difficult to find a single, portable size, and low-cost device to collect all these parameters together. Nonetheless, our prototype has the potential of connecting with multiple similar devices to create a larger IoT network grid. Overall, our proposed product has a combination of weather and air quality parameters in a portable and handholdable size with low-cost and low power consumption which other devices do not have according to the latest literature.

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“…Taso et al [ 32 ] proposed a monitoring AWS system that utilizes IoT for the purpose of students’ learning at Wu-TSO elementary school in Taiwan. This system uses MQTT to transmit monitored data between sensors to the intended recipient instead of storing collected data into a relational database management system (RDBMS) and then visualized on a web server.…”

Section: Related Workmentioning

confidence: 99%

Scalable Lightweight IoT-Based Smart Weather Measurement System

Albuali

Srinivasagan

Aljughaiman

et al. 2023

Sensors

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The Internet of Things (IoT) plays a critical role in remotely monitoring a wide variety of different application sectors, including agriculture, building, and energy. The wind turbine energy generator (WTEG) is a real-world application that can take advantage of IoT technologies, such as a low-cost weather station, where human activities can be significantly affected by enhancing the production of clean energy based on the known direction of the wind. Meanwhile, common weather stations are neither affordable nor customizable for specific applications. Moreover, due to weather forecast changes over time and location within the same city, it is not efficient to rely on a limited number of weather stations that may be located far away from a recipient’s location. Therefore, in this paper, we focus on presenting a low-cost weather station that relies on an artificial intelligence (AI) algorithm that can be distributed across a WTEG area with minimal cost. The proposed study measures multiple weather parameters, such as wind direction, wind velocity (WV), temperature, pressure, mean sea level, and relative humidity to provide current measurements to recipients and AI-based forecasts. In addition, the proposed study consists of several heterogeneous nodes and a controller for each station in a target area. The collected data can be transmitted through Bluetooth low energy (BLE). The experimental results reveal that the proposed study matches the standard of the National Meteorological Center (NMC), with a nowcast measurement of 95% accuracy for WV and 92% for wind direction (WD).

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An Implementation of IoT-Based Weather Monitoring System

Cited by 18 publications

References 22 publications

Real Time Weather Monitoring System using IoT

Real Time Weather Monitoring System using IoT

An IoT-based handheld environmental and air quality monitoring station

Scalable Lightweight IoT-Based Smart Weather Measurement System

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