LoRaWAN® Early Forest Fire Detection System at Florina, Greece

Project Details.

  • Customer: DECENTRALIZED ADMINISTRATION OF EPIRUS - WESTERN MACEDONIA

  • Project Partner: Teleglobal

  • Challenge: Deploy a LoRaWAN based environment monitoring sensor network in specific forest areas at Florina, Greece, able to detect possible forest fire at its ignition stage and notify accordingly the authorities.

  • Solution Provided

    • Establishment of LoRaWAN wireless coverage at the areas where the sensors must be deployed and installation of LoRaWAN battery powered environment monitoring sensors at the forest areas indicated by the customer. We deployed the LoRaWAN network and we performed a coverage study that indicated that the required coverage is provided. The sensors’ measurements are received by our cloud based IoT platform that stores, analyzes and presents the data. The platform also performs post-data analysis running a fire probability algorithm (fire index) resulting in the probability of fire at any given time of the day. If the fire index exceeds the pre-defined thresholds an alert is generated and the authorities are notified to respond to the incident.

      • LoRaWAN Network

        • 3 x Kerlink Wirnet iStation Outdoor LoRaWAN Gateways

      • Environment Monitoring Sensors

        • 75 x Milesight EM500-CO2 outdoor environment monitoring sensors - Measurement of Ambient Temperature, Ambient Humidity, Barometric Pressure and Carbon Dioxide (CO2)

      • LoRaWAN Network Server

        • Kerlink Wanesy LoRaWAN Network Server (Saas)

      • Web Platform & Mobile Application

        • CyRIC IoT Web Platform and CyRIC IoT Mobile Application

 

Project Devices.

 

IoT Platform & Mobile Application.

LoRaWAN Early Fire Detection System IoT Platform

Our suite of IoT tools including a could based platform and mobile devices applications are being used in the project providing:

  • Storage of Data.

  • Presentation of Data.

  • Post-Data Analysis generating the “Fire Index” which refers to the probability of fire deriving from the collected measurements from each sensor (Ambient Temperature, Ambient Humidity, Barometric Pressure and CO2).

  • Generation of alerts when the “Fire Index” exceeds the pre-defined thresholds.

  • Notify the system admins and user when an alert is generated through Email, SMS and Push Notifications.

 

Project Media.

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