Autonomous Forest Fire Detection Unit With Sensor-Triggered Drone Locating
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Solution Overview
Problem
Existing forest fire detection systems are ineffective at early detection, prone to false alarms, costly, and environmentally harmful due to satellite-based monitoring, and lack the ability to operate autonomously and efficiently.
Innovation Solution
A forest fire detection unit comprising an autonomous drone equipped with infrared cameras and navigation systems for precise fire detection and location, utilizing a network of stationary sensors for initial detection and a mobile drone for accurate positioning and extinguishing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If satellite monitoring is used for forest fire detection, then coverage area is improved, but cost and environmental impact worsen
Solution Approach 1:
The system divides the monitoring task into two segments: stationary sensors for wide-area detection and mobile drones for focused investigation. This segmentation allows coverage of large areas without requiring expensive satellite infrastructure, as ground-based sensors provide continuous monitoring while drones perform detailed detection only when needed.
Solution Approach 2:
The patent introduces stationary sensors as an intermediary between satellites and drones. These sensors detect smoke or heat and trigger drone deployment, eliminating the need for continuous expensive satellite monitoring while maintaining effective coverage. The intermediary processes information locally and only activates expensive resources when necessary.
2Measurement precision
If optical sensors are used for forest fire detection, then detection capability is improved, but false detection rate worsens
Solution Approach 1:
The system merges multiple detection methods by combining stationary optical sensors with mobile drone-based sensors. The stationary sensors provide initial detection while drones perform verification using different sensing modalities, allowing cross-validation that reduces false positives while maintaining high detection capability.
Solution Approach 2:
The system implements feedback loops where stationary sensors trigger drone deployment, and drone detection results feed back to confirm or refute initial detections. This feedback mechanism allows the system to learn from false positives and adjust detection thresholds, improving reliability while maintaining sensitivity.
3Productivity
If low orbit satellites are used for forest fire monitoring, then monitoring frequency is improved, but system complexity and cost worsen
Solution Approach 1:
The system enables self-service monitoring where stationary sensors autonomously detect fires and automatically trigger drone deployment without requiring complex satellite scheduling or coordination. This self-service approach achieves frequent monitoring through localized autonomous response rather than complex centralized satellite operations.
Solution Approach 2:
The system transitions from static satellite monitoring to dynamic ground-based monitoring with mobile drones. The drones can dynamically adjust their flight paths, altitude, and detection parameters based on real-time conditions, achieving high monitoring frequency and adaptability without the fixed orbital constraints and high complexity of satellite systems.
4Device complexity
If stationary sensors alone are used for forest fire detection, then system simplicity is improved, but detection precision worsens
Solution Approach 1:
The system segments the detection task into two precision levels: stationary sensors provide initial detection with lower precision requirements, while mobile drones provide high-precision fire source location and characterization. This segmentation allows the simple stationary network to cover wide areas while the complex drone provides detailed precision only when needed.
Solution Approach 2:
The stationary sensors perform preliminary detection and filtering, identifying potential fire events before deploying drones for precise measurement. This preliminary action by simple sensors prevents the need for complex high-precision systems to operate continuously, reducing overall system complexity while maintaining detection precision when required.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables reliable, autonomous, and cost-effective detection and location of forest fires with precise positioning for targeted extinguishing, reducing environmental impact and operational costs.
Implementation Method 1
The detection unit is preferably an infrared camera for capturing thermal images
Data Source
AI summary
The invention relates to a forest fire detection unit comprising a drive, a detection unit designed and adapted to detect a source of fire, a navigation unit and a locating unit designed and adapted to locate a source of fire. The invention further relates to a method for detecting and/or locating a forest fire, comprising the following steps: receiving information, decoupling a forest fire detection unit from a forest fire detection station, and starting a forest fire detection process for detecting and/or locating a forest fire.