Low Cost IoT Enabled Weather Station

Singh, Dushyant; Jerath, Himani; Raja, Piyush

doi:10.1109/iccakm46823.2020.9051454

Cited by 19 publications

(25 citation statements)

References 3 publications

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“…Weather stations either are stationary [3][4][5][6][7][8]11], mobile [8][9][10][13][14][15][16][17][18][19][20], or portable [21]. The mobile ones, especially UAV-based ones intended for weather sensing in the urban environment, usually do not alter but extend the use of stationary weather stations.…”

Section: Related Workmentioning

confidence: 99%

“…For some time, weather stations were often built as Internet of Things (IoT) devices [3][4][5], which increases their availability. At the same time, the development of low-cost sensors, initially for the needs of the smartphone market, also entailed frequent use of such sensors in weather stations (e.g., [3][4][5][6][7][8][9][10]). This results in a reduction in the cost of weather stations, which indirectly contributes to an increase in the density of weather measurement points [7].…”

Section: Introductionmentioning

confidence: 99%

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Weather Sensing in an Urban Environment with the Use of a UAV and WebRTC-Based Platform: A Pilot Study

Chodorek

Yastrebov

2021

Sensors

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Thanks to IoT, Internet access, and low-cost sensors, it has become possible to increase the number of weather measuring points; hence, the density of the deployment of sources that provide weather data for the needs of large recipients, for example, weather web services or smart city management systems, has also increased. This paper presents a flying weather station that carries out measurements of two weather factors that are typically included in weather stations (ambient temperature and relative humidity), an often included weather factor (atmospheric pressure), and a rarely included one (ultraviolet index). In our solution, the measurements are supplemented with a visual observation of present weather phenomena. The flying weather station is built on a UAV and WebRTC-based universal platform proposed in our previous paper. The complete, fully operational flying weather station was evaluated in field studies. Experiments were conducted during a 6-month period on days having noticeably different weather conditions. Results show that weather data coming from the flying weather station were equal (with a good approximation) to weather data obtained from the reference weather station. When compared to the weather stations described in the literature (both stationary weather stations and mobile ones), the proposed solution achieved better accuracy than the other weather stations based on low-cost sensors.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Weather Sensing in an Urban Environment with the Use of a UAV and WebRTC-Based Platform: A Pilot Study

Chodorek

Yastrebov

2021

Sensors

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“…Usually, researchers model the energy problem as an optimization problem, tackled in different ways that we can group into two major categories, namely: Hardware optimization:the correct selection and integration of hardware components (microcontrollers, sensors, and communication technology) plays a vital role in achieving hardware optimization. For instance, in the context of low-power wide-area network communication technologies, LoRa (acronym of Long Range) is often considered as a suitable choice to develop a remote weather station ([ 25 , 26 ]), although there are also other technologies observed in the literature, such as WiFi [ 27 ] and Xbee [ 28 ]. Software optimization: the most used optimization strategy in this context is fine-tuning the operating system’s scheduling policy so as to reduce power consumption [ 29 ].…”

Section: Introductionmentioning

confidence: 99%

“…Hardware optimization:the correct selection and integration of hardware components (microcontrollers, sensors, and communication technology) plays a vital role in achieving hardware optimization. For instance, in the context of low-power wide-area network communication technologies, LoRa (acronym of Long Range) is often considered as a suitable choice to develop a remote weather station ([ 25 , 26 ]), although there are also other technologies observed in the literature, such as WiFi [ 27 ] and Xbee [ 28 ].…”

Section: Introductionmentioning

confidence: 99%

“…A battery-powered IoT weather station is introduced in Reference [ 32 ] bringing in the perspective of power consumption measurements in the weather station. However, most of the works dealing with the development of energy-neutral weather stations for precision agriculture is mere implementation and integration effort [ 21 , 27 , 28 , 33 , 34 ]. A holistic approach to solve the energy demand by using rechargeable batteries, low power electronics, optimization algorithms in embedded software as a whole package is not considered in the literature.…”

Section: Introductionmentioning

confidence: 99%

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Design and Implementation of an Energy-Efficient Weather Station for Wind Data Collection

Leelavinodhan

Vecchio

Antonelli

et al. 2021

Sensors

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Agriculture faces critical challenges caused by changing climatic factors and weather patterns with random distribution. This has increased the need for accurate local weather predictions and weather data collection to support precision agriculture. The demand for uninterrupted weather stations is overwhelming, and the Internet of Things (IoT) has the potential to address this demand. One major challenge of energy constraint in remotely deployed IoT devices can be resolved using weather stations that are energy neutral. This paper focuses on optimizing the energy consumption of a weather station by optimizing the data collected and sent from the sensor deployed in remote locations. An asynchronous optimization algorithm for wind data collection has been successfully developed, using the development lifecyle specifically designed for weather stations and focused on achieving energy neutrality. The developed IoT weather station was deployed in the field, and it has the potential to reduce the power consumption of the weather station by more than 60%.

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Development of a Weather Station with Water Level and Waterflow Detection using Arduino

Mamat

Shazali

Othman

2022

J. Phys.: Conf. Ser.

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Weather data monitoring is important due to the drastic changes of weather around the world in recent years. Weather-related parameters are commonly measured using weather stations. Low-cost Arduino based weather station is suitable for public use to monitor local weather conditions in the vicinity of their residential area. This will enable quick response in natural disaster caused by the weather. In this work, the integration of water level and waterflow rate detection to the weather station allows hydrological data measurement in addition to the meteorological data. This capability makes the weather station suitable for further expansion into a wireless sensor network for flood monitoring and prediction. This weather station was developed using NodeMCU ESP32 microcontroller, ultrasonic sensor, BMP280 sensor, rain sensor and waterflow sensor. The remote data monitoring capability was realized using Blynk IoT platform. A prototype of this weather station was developed and tested in a simulated environment. Results show that this weather station is able to provide good measurement of meteorological and hydrological data.

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Low Cost IoT Enabled Weather Station

Cited by 19 publications

References 3 publications

Weather Sensing in an Urban Environment with the Use of a UAV and WebRTC-Based Platform: A Pilot Study

Weather Sensing in an Urban Environment with the Use of a UAV and WebRTC-Based Platform: A Pilot Study

Design and Implementation of an Energy-Efficient Weather Station for Wind Data Collection

Development of a Weather Station with Water Level and Waterflow Detection using Arduino

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