Can LoRaWAN Networks Transform the Indian Meteorological Department into a World Leader in the Fight Against Global Warming?

Advantages of LoRaWAN Star-on-Star vs. LTE, GSM, NB-IoT, CAT-M1 and others:

  • Extend wireless network coverage 10+ km past existing LTE, GSM, NB-IoT, CAT-M1 coverage with LoRaWAN LTE gateways

  • LoRaWAN gateway affordability ensures deployment of double and triple-redundant wireless networks affordably due to its Star-on-Star approach vs. mesh networking.

  • Meteorological sensor nodes communicate with multiple gateways, ensuring reliability of wireless data transmission and interference resistance. In case of a gateway failure, data is automatically rerouted via other gateways.

  • LoRaWAN networks allow the addition of unlimited nodes without rebuilding the wireless infrastructure.

  • LoRaWAN networks naturally permit network expansion and do not require trained personnel in the field to support network operation since gateways act as only message forwarders (data pass-through) and sensor nodes do not join/pair with gateways, but directly with the application running at the Met Department.

 
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WMO Precision Wireless LoRaWAN Meteorological Sensors

For meteorological network building to the highest WMO measurement standards.

  • MeteoWind® IoT Pro exceeds WMO/NWS standards by 5X, making it maintenance free for a lifetime.

  • MeteoHelix® IoT Pro meets WMO/NWS standards and due to its helical shield is maintenance free for 2X longer than any other temperature humidity sensor solution.

  • MeteoRain® IoT Compact is designed for high-density deployment and affordability. Its measuring mechanism is more accurate than any other rain gauge under 1000 EURO. Soon to be released MeteoRain® IoT Pro with a larger and taller collector bucket will exceed all WMO and NWS measurement standards.

MeteoHelix® IoT Pro - LoRaWAN Micro-Weather Station
from €623.00

CURRENTLY SHIPPING WORLDWIDE

Professional all-in-one wireless micro-weather station ensures your measurements comply with WMO/NWS accuracy standards. Built into the helical MeteoShield® Professional to provide significantly lower air temperature uncertainties than any other all-in-one or compact weather station on the market. Designed for professional meteorological network building, smart-cities, resilient city initiatives in all-climates from Antarctica to the Deserts of Rajasthan.

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MeteoWind® IoT Pro - LoRaWAN
from €499.00

Compact wind sensor meeting the highest MEASNET accuracy requirements. Exceeds WMO and NWS specifications by a factor of 5, thus it can be considered maintenance free for a lifetime in most meteorological applications. Compared to ultrasonic anemometers, it offers faster response time at wind speeds greater than 4 m/s, thus its able to accurately capture even the shortest wind gusts. It has higher data availability that ultrasonic wind sensors in harsh stormy and winter weather.

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Wireless MeteoRain® IoT Compact -LoRaWAN
€324.00

Next ship date: April 2021

Wireless Ø200 cm² professional compact gauge for agriculture, smart-cities and research with 5+ years of battery life. Low maintenance rain gauge for agriculture and smart cities where long-term maintenance-free operation is essential. Uses a self-balancing magnetic tipping bucket measuring principle to reduce or resist the effects of dirt, vibration and leveling errors.

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The rise of Meteo Monopolies: Consolidation within the Meteorological Industry

The meteorological sensor industry is in the midst of a hasty wave of consolidations by investment firms ever since global warming has become their latest fad. What does this mean for consumers? Consolidation at this unprecedented pace (see tables below), together with a hasty investment rush, results in a reduction in market competition. While market consolidation can be a good thing, the current pace of consolidation of established players, not startups, can be a sign of concern. In the long-term, reduction in market competition can only lead to lower quality overpriced products and strengthens barriers to entry for small independent players. Having experienced it first hand, it is the case today. Only large players have enough lobbying power to “guide” government tender specifications in their favor through corrupt practices in the developing world. One company, Varysian, is aiming to change that by opening up the conversation with meteorological departments’ leadership and technical personnel at the local level while adhering to the work of WMO, the Alliance for Hydromet Development and the wider UN Sustainable Development Goal 13 mandate.

The following tables list just some of the latest consolidations in the industry. 13 independent companies are now owned by 3. You be the judge, whether it is good or bad for the industry.

Six companies are now owned by one.
Davis Instruments Jul 31, 2019 Davis Instruments acquired by AE Monitoring
LAMBRECHT meteo Mar 31, 2019 LAMBRECHT meteo acquired by AE Monitoring
FTS Forest Technology Systems Jan 2, 2019 FTS Forest Technology Systems acquired by AE Monitoring
Vieux & Associates Jul 31, 2018 Vieux & Associates acquired by AE Monitoring
OneRain Mar 8, 2018 OneRain acquired by AE Monitoring
High Sierra Electronics Mar 8, 2018 High Sierra Electronics acquired by AE Monitoring
Three to one consolidation.
Nielsen-Kellerman Oct 12, 2017 Nielsen-Kellerman acquired by Clearview Capital Investments for an undisclosed amount
Ambient Weather Jan 2, 2020 Ambient Weather acquired by Nielsen-Kellerman for an undisclosed amount
RainWise Jan, 2020 RainWise acquired by Nielsen-Kellerman for an undisclosed amount
Four to one consolidation.
Leosphere Oct 5, 2018 Leosphere acquired by Vaisala
3TIER Dec 17, 2013 3TIER acquired by Vaisala
Second Wind Sep 15, 2013 Second Wind acquired by Vaisala
Veriteq Instruments Mar 29, 2010 Veriteq Instruments acquired by Vaisala

Data for these tables was acquired from https://www.crunchbase.com.

 
Manufacturer of high-quality meteorological solutions for Smart-City environmental sensor networks including the MeteoHelix IoT, MeteoRain IoT and MeteoWind IoT wireless weather station and sensors.

Manufacturer of high-quality meteorological solutions for Smart-City environmental sensor networks including the MeteoHelix IoT, MeteoRain IoT and MeteoWind IoT wireless weather station and sensors.

Zu vermeidende Smart-City-Fehler: die Frage der großen gegen genaue Daten

DIE SMART-CITY-FEHLER DIE ZU VERMEINDEN SIND: DIE QUALITÄT VON DATENSÄTZEN MIT NIERIGER QUALITÄT WIRD NICHT VERBESSERT, WENN DIE DATENSÄTZE GRÖßER WERDEN

DIE SMART-CITY-FEHLER DIE ZU VERMEINDEN SIND: DIE QUALITÄT VON DATENSÄTZEN MIT NIERIGER QUALITÄT WIRD NICHT VERBESSERT, WENN DIE DATENSÄTZE GRÖßER WERDEN

Wenn Sensornetzwerke nicht dem grundlegenden Messstandards entsprechen, werden Smart-City-Sensornetzwerke zu einem Geldfresser. Sie können großartige Ideen in eine sinnlose Infrastruktur und Wolken von falschen oder bedeutungslosen Daten verwandeln.

Zu Beginn des 21. Jahrhunderts begannen Städte im Rahmen der vierten industriellen Revolution (Industrie 4.0), mit Smart-City-Projekten zu experimentieren, noch bevor der Begriff Internet-of-Things (IoT) populär wurde. Jetzt, auf dem Höhepunkt des durch künstliche Intelligenz und Datenverarbeitung ausgelösten IoT-Hype, werden die ersten Anzeichen für die Notwendigkeit, die grundlegenden Messstandards von  NIST, WMO/CIMO, NWS/NOAA, ASTM und ISO zu treffen, offensichtlich.

Das klarste Beispiel für die Notwendigkeit, grundlegende Messstandards zu treffen, kann man in Überwachung des Stadtklimas finden, da die Städte eine Reihe von Herausforderungen an die genaue Messung der Lufttemperatur stellen. Die Fußwege und Gebäudewände in der Nähe von Wetterstationen reflektieren und strahlen Sonnenenergie viel stärker als Grasrasen und aus jeder Richtung auf einen Temperatursensor ab, was zu großen Fehlern bei der Lufttemperaturmessung führt. Da die Verteilung der Fehler bei der Lufttemperaturmessung nicht symmetrisch rund um tatsächlichen Temperaturwert und für jede Wetterstationsinstallation einzigartig ist, hat die Praxis gezeigt, dass sich die Qualität von Daten geringer Qualität nicht mit der Größe des Datensatzes verbessert.

Die Qualität der Lufttemperaturmessung kann leicht beurteilt werden, indem die Sonneneinstrahlung (W / m²) und die Lufttemperatur (° C / ° F) zusammen eingezeichnet werden. Lufttemperatursensoren niedriger Qualität zeigen zusammen mit billigen Sonnenschutzschildern eine Erhöhung der Lufttemperatur um +0,5 ° C (+1 ° F) oder mehr innerhalb weniger Minuten, nachdem die Sonne von hinter her Wolken oder die Wetterstation aus dem Schatten hervorkommt.

 
Manufacturer of high-quality and affordable meteorological solutions for Smart-City environmental sensor networks including the MeteoHelix IoT, MeteoRain IoT and MeteoWind IoT wireless weather station and sensors.

Manufacturer of high-quality and affordable meteorological solutions for Smart-City environmental sensor networks including the MeteoHelix IoT, MeteoRain IoT and MeteoWind IoT wireless weather station and sensors.