Weather Sensing in an Urban Environment with the Use of a UAV and WebRTC-Based Platform: A Pilot Study
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 sys...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-10-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/21/21/7113 |
_version_ | 1797511822317715456 |
---|---|
author | Agnieszka Chodorek Robert Ryszard Chodorek Alexander Yastrebov |
author_facet | Agnieszka Chodorek Robert Ryszard Chodorek Alexander Yastrebov |
author_sort | Agnieszka Chodorek |
collection | DOAJ |
description | 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. |
first_indexed | 2024-03-10T05:53:27Z |
format | Article |
id | doaj.art-f5fabf5d64e744bb83ceb4578e002c12 |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-03-10T05:53:27Z |
publishDate | 2021-10-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
spelling | doaj.art-f5fabf5d64e744bb83ceb4578e002c122023-11-22T21:36:47ZengMDPI AGSensors1424-82202021-10-012121711310.3390/s21217113Weather Sensing in an Urban Environment with the Use of a UAV and WebRTC-Based Platform: A Pilot StudyAgnieszka Chodorek0Robert Ryszard Chodorek1Alexander Yastrebov2Department of Applied Computer Science, Faculty of Electrical Engineering, Automatic Control and Computer Science, Kielce University of Technology, Al. 1000-Lecia P.P. 7, 25-314 Kielce, PolandInstitute of Telecommunications, Faculty of Computer Science, Electronics and Telecommunications, The AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Krakow, PolandDepartment of Applied Computer Science, Faculty of Electrical Engineering, Automatic Control and Computer Science, Kielce University of Technology, Al. 1000-Lecia P.P. 7, 25-314 Kielce, PolandThanks 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.https://www.mdpi.com/1424-8220/21/21/7113field studyInternet of Thingsunmanned aerial vehicleweather monitoringWebRTC |
spellingShingle | Agnieszka Chodorek Robert Ryszard Chodorek Alexander Yastrebov Weather Sensing in an Urban Environment with the Use of a UAV and WebRTC-Based Platform: A Pilot Study Sensors field study Internet of Things unmanned aerial vehicle weather monitoring WebRTC |
title | Weather Sensing in an Urban Environment with the Use of a UAV and WebRTC-Based Platform: A Pilot Study |
title_full | Weather Sensing in an Urban Environment with the Use of a UAV and WebRTC-Based Platform: A Pilot Study |
title_fullStr | Weather Sensing in an Urban Environment with the Use of a UAV and WebRTC-Based Platform: A Pilot Study |
title_full_unstemmed | Weather Sensing in an Urban Environment with the Use of a UAV and WebRTC-Based Platform: A Pilot Study |
title_short | Weather Sensing in an Urban Environment with the Use of a UAV and WebRTC-Based Platform: A Pilot Study |
title_sort | weather sensing in an urban environment with the use of a uav and webrtc based platform a pilot study |
topic | field study Internet of Things unmanned aerial vehicle weather monitoring WebRTC |
url | https://www.mdpi.com/1424-8220/21/21/7113 |
work_keys_str_mv | AT agnieszkachodorek weathersensinginanurbanenvironmentwiththeuseofauavandwebrtcbasedplatformapilotstudy AT robertryszardchodorek weathersensinginanurbanenvironmentwiththeuseofauavandwebrtcbasedplatformapilotstudy AT alexanderyastrebov weathersensinginanurbanenvironmentwiththeuseofauavandwebrtcbasedplatformapilotstudy |