Mesh Gateway Network for Low-Power Forest Fire Detection
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Solution Overview
Problem
Existing forest fire detection systems are expensive, require high power consumption, and have limitations in early detection capabilities, especially in remote areas, due to reliance on satellites and centralized control terminals.
Innovation Solution
A mesh gateway network utilizing LoRaWAN technology with self-sufficient end devices and gateways, employing multi-hop communication and ACK signal generation to extend range and reduce power consumption, allowing for reliable and cost-effective early detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If satellite monitoring is used for forest fire detection, then detection coverage is improved, but cost and carbon dioxide emissions increase significantly
Solution Approach 1:
The patent divides the monitoring system into distributed ground-based sensor nodes that independently monitor local areas, replacing the centralized satellite approach. Each sensor node covers a specific zone, and collectively they provide comprehensive coverage without requiring expensive satellite infrastructure.
Solution Approach 2:
The patent introduces mesh gateway networks as intermediary devices that relay data between remote sensor nodes and the central server. This intermediary layer enables communication in areas without direct internet connectivity, maintaining detection coverage while using cost-effective ground-based infrastructure instead of satellites.
2Reliability
If control terminal with GPS units is used for forest fire detection, then detection capability is improved, but power consumption increases
Solution Approach 1:
The patent implements periodic sampling of environmental parameters rather than continuous monitoring. Sensors take measurements at predetermined intervals, which maintains detection capability while significantly reducing power consumption compared to continuous GPS tracking and data transmission.
Solution Approach 2:
The sensor nodes automatically manage their own operation, including local data processing, threshold-based decision making, and selective data transmission. This self-service approach eliminates the need for high-power centralized control and reduces overall system power consumption.
3Ease of operation
If centralized control terminal is used for forest fire detection, then alarm triggering is simplified, but system complexity and cost increase
Solution Approach 1:
The patent enables each sensor node to independently evaluate local conditions against predefined thresholds and trigger alarms autonomously when fire conditions are detected. This local decision-making capability simplifies the overall system architecture by eliminating complex centralized control logic while maintaining ease of alarm triggering.
Solution Approach 2:
Instead of having the centralized server manage alarm triggering logic, the patent inverts the control flow by allowing distributed sensor nodes to make alarm decisions locally. This inversion reduces system complexity by distributing intelligence to the edges rather than concentrating it in the center.
Data Source
AI summary
The invention relates to a forest fire early detection system comprising a mesh gateway network having a network server, a plurality of first gateways, a second gateway and a plurality of end devices, wherein the first gateway communicates directly with other gateways and end devices of the mesh gateway network only and the second gateway communicates with the network server, and a corresponding method for performing forest fire early detection.