Development of an Inductive Rain Gauge.

LoRaWAN eddy current internet of things rain gauge smart sensor

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
22 Jul 2022
Historique:
received: 17 06 2022
revised: 20 07 2022
accepted: 20 07 2022
entrez: 28 7 2022
pubmed: 29 7 2022
medline: 30 7 2022
Statut: epublish

Résumé

Measuring weather data in an urban environment is an important task on the journey towards smart cities. Heavy rain can cause flooding in cities and prevent emergency services from reaching their destination because roads or underpasses are blocked. In order to provide a high-resolution site-specific overview in urban areas during heavy rainfall, a dense measurement network is necessary. To achieve this, a smart low-cost rain gauge is needed. In this paper, the current status of the development of an inductive rain gauge is presented. The sensor is based on the eddy current principle and evaluates the frequency of an electrical resonant circuit. For this purpose, a coil is placed under a metal plate. When raindrops hit the plate, it starts to oscillate, which changes the distance to the coil accordingly and causes changes in the frequency of the resonant circuit. Since the sensor is cost-effective, operates self-sufficiently in terms of energy and transmits data wirelessly via LoRaWAN, it can be used flexibly. This enables dense, area-wide coverage over the urban area of interest. The first experimental investigations show a correlation between the size of the rain droplets and the frequency change. Small droplets cause a shift of about 8 kHz and larger droplets of up to 40 kHz. The results prove that raindrops can be detected and categorized using this measurement principle. These data will be used as a basis for future work on calculating precipitation.

Identifiants

pubmed: 35897989
pii: s22155486
doi: 10.3390/s22155486
pmc: PMC9331685
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : VDI/VDE Innovation + Technik
ID : 13N15556-13N15560
Organisme : Federal Ministry of Education and Research
ID : 13N15556-13N15560

Références

Sci Rep. 2020 Aug 13;10(1):13768
pubmed: 32792563
Sensors (Basel). 2022 Jun 09;22(12):
pubmed: 35746158

Auteurs

Christoph Clemens (C)

Institute for Measurement Engineering and Sensor Technology, Ruhr West University of Applied Sciences, 45479 Mülheim an der Ruhr, Germany.

Annette Jobst (A)

Institute for Measurement Engineering and Sensor Technology, Ruhr West University of Applied Sciences, 45479 Mülheim an der Ruhr, Germany.

Mario Radschun (M)

Institute for Measurement Engineering and Sensor Technology, Ruhr West University of Applied Sciences, 45479 Mülheim an der Ruhr, Germany.

Jörg Himmel (J)

Institute for Measurement Engineering and Sensor Technology, Ruhr West University of Applied Sciences, 45479 Mülheim an der Ruhr, Germany.

Olfa Kanoun (O)

Chair for Measurement and Sensor Technology, Chemnitz University of Technology, 09126 Chemnitz, Germany.

Markus Quirmbach (M)

Institute for Civil Engineering, Ruhr West University of Applied Sciences, 45479 Mülheim an der Ruhr, Germany.

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Classifications MeSH