Prediction and Prevention of Wildfires
• Collection of data from various sources upfront ( e . g .: Satellite , Govt Agencies , Tribals , etc .) will help with a strong foundation for the solution .
• Use of Data Simulator for IoT Devices during development and testing phase helped in solution development .
• Device Health Dashboard is critical for IoT sensor-based solutions . It helps to avoid many unknowns and debugging with sensors .
• Establishing Networking Framework is the key to success for the solution .
• Designing IoT resilience and Disaster Solutions especially around networking approaches ( Eg : Alternatives around Cellular ) is a must for a successful working solution .
• Clear definition of RACI ( Responsible , Accountable , Consulted , Informed ) particularly working with various parties .
• Focus on building fire safety messages and techniques upfront to avoid major disasters while applying prevention techniques .
This section outlines key building blocks / components for the solution with an enterprise view . This section describes the solution holistically with all components included ( Primary and Support ).
This solution is a comprehensive approach for prevention through early detection of wildfire . It uses combined approaches for statutory IoT Devices and Mobile UAVs for data acquisition and then it utilizes the sensory data to produce an early warning .
128 April 2023