Prediction of bushfire and wildfire risk is increasingly important in the management of fire fuel load. Weather stations that can measure environmental conditions and fuel load are used in many bushfire and wildfire prone areas. This monitoring allows hazard reduction burns to be optimised to remove excessive fuel load. Predicted fire risk can be monitored when hazard reduction burns are not a suitable management strategy.
The Peregian bushfires of September 2019 led Noosa Council’s Peregian Digital Hub to create the Firetech Connect program. This program was created to accelerate the adoption of bushfire resilience technologies. In December 2020 Noosa Council and ICT International collaborated to deploy a network of Fire Weather Stations across the Noosa Shire to collect data for use in bushfire prediction systems.
ICT International’s customised fire load and fire hazard Weather Stations packages provide real-time localised environmental data. This data is used for informing fire danger predictions, detection, and control strategies. Supported by the MFR-NODE with LoRaWAN communications, sensors installed included:
Data from the public LoRaWAN network (AS923 – managed by the public network provider, Meshed Pty Ltd), was handled by The Things Network (TTN). Near real time data is available to key stakeholders on Meshed dashboarding platform.
Data will also be made available to a global network of technology partners in Council’s Firetech Connect program. This program is an initiative to build resilience in bushfire prone regional communities by accelerating the adoption of innovative technologies. “It’s exciting to add this capability to our bushfire resilience toolbox” said James Ulyate, Noosa Council’s Disaster Management Officer “These sensors enable us to monitor environmental conditions and assess hazard risk in real time across seven bushland zones, all via a web dashboard.”
ICT International will work with Noosa Shire Council on further developing data analytics capabilities, and how to best expose datasets in for use in fire danger predictions and control strategies. “Predictive analytics solutions can help forecast where and when bushfires might start and how they are likely to behave.” said Chris Boden, Director of Council’s Peregian Digital Hub. “To help improve the accuracy of those solutions, we are making this data available via API to our Living Lab partners to incorporate into their software.”
For more information and to discuss your requirements, please contact ICT International: email@example.com