Induction Fence Placement Using eDNA, Images, and LiDAR Risk Mapping
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Solution Overview
Problem
Existing induction fence installations are inefficient and costly due to being installed without considering the specific vulnerabilities posed by harmful birds and animals, leading to excessive expenses and reduced effectiveness.
Innovation Solution
A system and method that utilizes image data, environmental DNA analysis, and LiDAR scanning to calculate a vulnerability index, identifying optimal locations for fence installation based on the presence of harmful species and their habitats.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If fences are installed all over the mountain or boundary surface without analysis, then coverage area is increased, but installation expenses are excessively paid
Solution Approach 1:
The system performs preliminary analysis of harmful bird and animal appearance data, frequencies, and environmental factors before fence installation to identify high-risk areas. This preliminary action enables targeted fence placement only where needed, avoiding unnecessary installation in low-risk areas and thus reducing overall installation expenses while maintaining effective coverage.
Solution Approach 2:
The system applies different installation strategies to different locations based on locally-specific risk assessments. By analyzing appearance frequencies and environmental characteristics of harmful species in specific areas, the system determines optimal fence installation locations, creating a non-uniform installation pattern that matches the actual distribution of threats rather than applying uniform coverage everywhere.
2Ease of operation
If fences are installed without information about harmful bird and animal species, then installation process is simplified, but efficiency of the fences is not high
Solution Approach 1:
The system performs preliminary identification and classification of harmful bird and animal species, their appearance frequencies, and behavioral patterns before fence installation. This preliminary analysis of biological data enables the system to provide specific installation guidance for different species types, improving fence effectiveness without significantly complicating the physical installation process.
Solution Approach 2:
The system incorporates feedback from analyzed data about harmful species' appearance frequencies, preferred habitats, and behavioral patterns to optimize fence installation decisions. This feedback mechanism allows the system to continuously improve installation efficiency by learning from observed patterns in harmful animal movements and species-specific characteristics.
Data Source
AI summary
The present invention relates to a technology capable of efficiently deriving a place to install an induction fence intended for blocking the invasion of harmful birds and animals, wherein an optimal location may be calculated in such a manner as to calculate, with respect to animal species and inhabitant species shown in an area where the harmful birds and animals appear, an index for vulnerability based on image data and information resulting from analyzing environmental DNA, and to match LiDAR scanning data based on the vulnerability index.