Multi-Sensor Forest Fire Detection for Early Smoke Localization
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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 reliability and scalability.
Innovation Solution
A forest fire detection system utilizing a LoRaWAN network with a star-shaped architecture, incorporating stationary and mobile sensors, including infrared cameras and gas sensors, for precise detection and localization, followed by autonomous drone-based intervention for targeted fire suppression.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If optical sensors (rotating cameras) are used for forest fire detection, then the system can detect smoke columns, but it produces false detections and is less effective at night
Solution Approach 1:
The patent combines multiple detection methods (optical sensors, IR sensors, gas sensors) into a single integrated forest fire detection system. This multi-sensor approach allows the system to cross-validate signals and distinguish actual forest fires from false alarm sources like dust clouds, thereby improving reliability while reducing false detections.
2Area of stationary object
If IR cameras are installed in high orbit satellites for monitoring, then large areas can be covered, but the resolution prevents detection of early-stage forest fires
Solution Approach 1:
The patent transitions from space-based satellite monitoring to ground-based or aerial drone-based detection systems. This dimensional change from orbital height to ground level proximity enables high-resolution detection of early-stage forest fires while maintaining the ability to cover large areas through multiple distributed sensors and mobile drone units.
3Measurement precision
If low orbit satellites are used for monitoring, then better resolution is achieved, but the satellites are not geostationary and require time to complete orbits during which areas are not monitored
Solution Approach 1:
The patent implements continuous monitoring through ground-based stationary sensors that operate 24/7 without orbital gaps, complemented by mobile drone units that can be deployed immediately upon detection. This eliminates the monitoring gaps inherent in orbital satellite systems while maintaining high detection resolution.
4Measurement precision
If close-meshed monitoring is implemented to detect early-stage fires, then detection precision improves, but a large number of satellites are required which increases launch costs and carbon dioxide emissions
Solution Approach 1:
The patent replaces the mechanical system of launching multiple satellites with ground-based and aerial detection systems. This substitution eliminates the need for costly satellite launches and associated carbon dioxide emissions while achieving close-meshed monitoring through strategically positioned ground sensors and mobile drone units.
5Reliability
If satellite monitoring systems are purchased and maintained, then forest fire detection capability is provided, but the cost is expensive particularly at satellite launch
Solution Approach 1:
The patent employs cost-effective ground-based sensors and disposable or rechargeable drone units instead of expensive satellite systems. These terrestrial and aerial components can be deployed at fraction of the cost of satellites and replaced or recharged as needed, providing reliable forest fire detection capability at significantly lower cost.
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, cost-effective, and scalable forest fire detection and suppression, allowing for early intervention with reduced environmental impact.
Implementation Method 1
detection unit which is intended and suitable for detecting a fire source
Implementation Method 2
The first detection of the forest fire using the first terminal is preferably carried out by detecting and analyzing the gases (smoke) produced by a forest fire
Data Source
AI summary
The invention relates to a method for detecting and/or locating a forest fire, comprising the following method steps: receiving information, generating a control command, sending the control command and/or information and carrying out a forest fire detection process. The invention further relates to a forest fire detection system comprising a network device, a server unit, a gateway, a first terminal, the first terminal having a sensor unit, and a second terminal, the second terminal having a forest fire detection element.