Photovoltaic Zone Identification via Matrix Meshing
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Solution Overview
Problem
The large-scale deployment of photovoltaic panels requires identifying compatible zones in a territory, which is challenging due to the difficulty in mapping these zones distinct from predetermined obstacles.
Innovation Solution
A method involving image processing to detect obstacles, mesh the territory into matrices, and identify candidate zones compatible with photovoltaic panel installation, using compatibility criteria such as shape and surface area, and optionally determining irradiance levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual identification of zones compatible with photovoltaic panel installation is performed, then accuracy in identifying suitable zones can be achieved, but the process becomes time-consuming and inefficient
Solution Approach 1:
The patent replaces manual visual inspection and mechanical mapping methods with an automated image processing system using satellite or aerial imagery. The system uses computer algorithms to automatically detect obstacles, mesh the territory into portions, convert to matrices, and identify candidate zones, eliminating the need for manual field surveys and significantly reducing time while maintaining accuracy through systematic computational analysis
Solution Approach 2:
The patent creates a digital replica of the territory by receiving and processing satellite or aerial images of the terrain. This digital copy allows for automated analysis, matrix conversion, and zone identification without physically visiting or manually measuring each area, enabling rapid and accurate identification of photovoltaic-compatible zones through computational processing of the territorial copy
2Reliability
If comprehensive obstacle detection and zone analysis is performed across the entire territory, then complete identification of compatible zones is achieved, but the complexity of the processing system increases
Solution Approach 1:
The patent divides the territory into discrete mesh portions and represents them as matrix elements, breaking down the complex task of entire-territory analysis into manageable computational units. Each matrix element can be independently processed and evaluated according to photovoltaic compatibility criteria, making the overall system more tractable and less complex while maintaining comprehensive coverage
Solution Approach 2:
The patent transforms spatial and visual information into numerical matrix representations, changing the parameter space from continuous image data to discrete numerical values. This parameter transformation simplifies the processing by enabling the use of mathematical operations and algorithms to identify candidate zones based on predefined criteria such as surface area, shape, and obstacle presence
Data Source
AI summary
The present invention relates to a method for determining zones of a territory, called candidate zones, distinct from predetermined obstacles and compatible with the installation of photovoltaic panels, the method comprising the following steps:detecting images predetermined obstacles in an image of a territory seen from the sky, meshing the image in elementary portions,converting the mesh into a matrix, called main matrix, by assigning a first number to each elementary portion wherein an obstacle is located and a second number to the other portions,identifying the largest sub-matrix, called raw sub-matrix, comprising only second numbers and satisfying a compatibility criterion for the installation of photovoltaic panels, anddetermining a candidate zone compatible with the installation of photovoltaic panels according to the determined raw sub-matrix.