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Dryad launches ultra-early IoT wildfire detection technology

Dryad Networks, an environmental IoT startup, has announced the launch of Silvanet, its large-scale IoT network for the ultra-early detection of wildfires.

A live demonstration has been successfull conducted in a forest near Berlin, and Dryad is now working on ten Proof of Concept deployments with forest owners in the US, Europe, Australia, Indonesia and Africa. Mass production of the sensors and gateways is due to begin shortly in Germany.

Dryad uses a network of highly sensitive solar-powered gas sensors to monitor the air composition, temperature, humidity and air pressure. The small sensors attached to trees send alerts over the Silvanet IoT mesh network to a cloud-based monitoring platform, which immediately issues an alert to relevant parties in the case of a fire.

The solution can detect wildfires in under 60 minutes - even during the smoldering phase, before there is an open fire. By contrast, camera and satellite-based solutions can take hours or even days to identify a fire because they rely on the smoke plume and heat developing enough to be detected from a long distance. By the time fire fighters arrive at the scene, the fires have often grown too large to be extinguished and can no longer be controlled.

Wildfires are responsible for around 20% of annual global CO2 emissions, displace tens of thousands of people, endanger people’s health due to the inhalation of fine particulate matter, and have a devastating impact on biodiversity: in Australia during the 2019-2020 bushfire season alone, more than three billion animals were thought to have been killed or displaced. And in California in 2018, wildfires caused $150 billion in economic damage, equivalent to 0.7 percent of the GDP of the USA.

The Silvanet solution comprises:

  • Small solar-powered sensor devices that hang from trees and incorporate a new ‘digital nose’ in the form of a reliable high-precision gas sensor provided by Bosch Sensortec. The sensor uses artificial intelligence capabilities to reliably detect wildfires and to distinguish from other sources such as a diesel truck driving by.
  • Mesh gateways featuring Dryad’s patent-pending distributed mesh network architecture - an extension to the LoRaWAN open standard for long-range radio IoT networks. The solar-powered gateways attach easily to trees at a height of about three metres above ground level and establish a large-scale IoT infrastructure. By adding additional sensors, the network can also be used to monitor tree health and growth.
  • Border gateways that are located close to civilization – typically at the edge of a forest or clearing - and connect to the Dryad cloud platform either over wireless (LTE-M), or via Swarm’s satellite communications network, or over ethernet using a wired connection. Customers also have the option to use a Starlink (Space-X) satellite dish for a high speed, low latency broadband connection. The border gateways can be either mains or solar powered.
  • Dryad’s cloud-based dashboard and analytics platform, which lets customers analyze and monitor indicators and issues alerts to forest managers.

Dryad’s gateways interconnect in a multi-hop mesh network, making it possible to cover very large forests rather than the 12km range typically supported by existing LoRaWAN gateways. This technology makes it economically viable to build a communications network for large forests where there is no mobile network coverage.

Carsten Brinkschulte, CEO and co-founder of Dryad Networks, said, “It’s clear from the number and intensity of wildfires burning across the world today – such as those following the heat dome in British Columbia, Canada last month - that there is an urgent need for a solution that can detect wildfires in the smoldering stage before they get out of control. With the completion of our Silvanet architecture and device designs, we are on track to achieve our mission of digitizing forests, and combatting wildfires and climate change, by helping to protect the natural world."

Author
Neil Tyler

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