Infrastructure Route Determination Using Segmented Satellite and LiDAR Analysis
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Solution Overview
Problem
The planning and construction of infrastructure such as transmission lines require significant resources due to the need to consider various terrain, infrastructure, and societal factors, making it inefficient to determine optimal positioning without excessive resource expenditure.
Innovation Solution
A method involving satellite imaging data for macro and micro route analysis, followed by LiDAR data analysis to determine a precise route corridor, optimizing resource usage by reducing the area scanned and energy consumption, thereby minimizing resource requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If higher resolution satellite imagery and extensive LiDAR scanning are used to determine infrastructure routing, then measurement precision and route optimization are improved, but energy consumption and resource expenditure increase significantly
Solution Approach 1:
The patent divides the route determination process into three sequential stages: macro-analysis using coarse satellite imagery to identify broad corridor options, micro-analysis using higher resolution imagery to refine specific routes within corridors, and detailed LiDAR scanning only along the final selected route. This segmentation allows high-precision methods to be applied only where necessary, significantly reducing overall energy consumption while maintaining route determination accuracy.
Solution Approach 2:
The patent performs preliminary macro-analysis using low-resolution satellite imagery to identify multiple potential route corridors before committing to expensive LiDAR scanning. By pre-filtering options at lower cost and energy levels, the system narrows down the area requiring detailed scanning, thereby reducing the total energy expenditure for high-precision measurements.
2Measurement precision
If LiDAR scanning is performed over large areas to ensure complete coverage, then measurement completeness is improved, but helicopter fuel consumption increases
Solution Approach 1:
The patent segments the study area into three zones: excluded areas (outside all corridors), corridor areas (within identified corridors but not final route), and final route area. LiDAR scanning is applied only to the final route area, while corridor areas are analyzed using lower-resolution satellite imagery. This segmentation ensures adequate coverage of potential routes while minimizing fuel consumption by avoiding unnecessary scanning in excluded areas.
Solution Approach 2:
The patent applies partial action by performing LiDAR scanning only on the portion of the terrain that corresponds to the final selected route, rather than scanning the entire region. This partial coverage is sufficient because the macro and micro analyses have already filtered out unsuitable areas, making exhaustive scanning of the entire area unnecessary.
3Manufacturing precision
If comprehensive analysis of terrain, infrastructure, and societal factors is conducted, then route optimization quality is improved, but resource consumption for data processing increases
Solution Approach 1:
The patent segments the route optimization process into multiple passes, each considering different factors at appropriate levels of detail. Macro-analysis evaluates broad terrain and infrastructure factors using coarse satellite imagery, micro-analysis refines the route based on more detailed satellite data, and final LiDAR-based analysis optimizes the specific alignment. This segmented approach allows comprehensive factor analysis while managing computational resources efficiently by applying detailed analysis only where needed.
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
This approach results in a 10% reduction in resources needed for infrastructure construction by determining an optimal route that considers multiple factors efficiently, reducing unnecessary energy and fuel expenditure.
Implementation Method 1
taking satellite imaging data from a region that includes a first and second location
Implementation Method 2
taking liDAR data of the determined route corridor and analysing the liDAR data to determine one or more liDAR parameters
Data Source
AI summary
A computer implemented method determines a route for an infrastructure element by analysing the satellite and lidar information. A method determines a route for an infrastructure element from satellite and liDAR information. Satellite information is analysed and a route corridor between a first location and a second location is determined from the satellite information. LiDAR information is analysed and a route between the first location and the second location is determined from the liDAR information.