3D Site Modeling for Faster, Accurate Solar Proposals
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Solution Overview
Problem
Existing methods for generating solar energy system proposals are time-consuming, prone to human error, and lack accurate, high-quality 3D data, especially in rural areas, leading to inefficient sales processes and potential customer dissatisfaction.
Innovation Solution
A system and method that uses automated, high-quality 3D data generation and neural networks to create interactive solar proposals, providing real-time, accurate solar production models and seamless customer education, without relying on LiDAR instruments, and includes features like roof face identification, solar panel placement, and energy production calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated 3D data generation is implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The system performs automated 3D data generation and solar panel placement calculations without requiring manual LiDAR scanning or complex human intervention. The neural network automatically processes satellite imagery and generates accurate 3D models, allowing the system to serve itself in data collection and analysis tasks.
Solution Approach 2:
The patent replaces traditional mechanical LiDAR scanning systems with software-based 3D generation from satellite imagery. The neural network substitutes complex manual measurement and calculation processes with automated computational algorithms, eliminating the need for physical measurement devices while improving productivity.
2Measurement precision
If high-quality 3D data is used, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The system pre-generates 3D data from satellite imagery before the actual proposal process. By having the neural network create 3D models and perform solar analysis in advance, the system eliminates time-consuming on-site measurements while maintaining high accuracy in the final proposal.
Solution Approach 2:
The patent creates digital 3D copies of physical sites using satellite imagery and neural network processing. These digital models serve as accurate replicas that can be analyzed repeatedly without requiring repeated physical site visits, thus preserving measurement precision while eliminating time loss.
3Device complexity
If manual proposal creation is used, then device complexity is reduced, but productivity decreases
Solution Approach 1:
The system automatically generates proposals by performing 3D data generation, solar panel placement optimization, and energy production calculations without human intervention. This self-service capability eliminates manual proposal creation steps, significantly improving sales cycle efficiency despite increased system complexity.
Solution Approach 2:
The system performs all necessary calculations, 3D modeling, and panel placement optimization in advance before generating the final proposal. This preliminary action allows the proposal to be created instantly, transforming a previously time-consuming manual process into an automated rapid-generation system.
Data Source
AI summary
Systems and methods are disclosed herein for generating and/or providing a model, such as may be utilized for designing and/or presenting a proposal for a project for a structure or site. The disclosed embodiments can include identifying installation surface faces, installation surface face benefit metrics, obstructions, obstacles affecting placement of elements of the project, and for providing an educational experience, comprising general information and at least one structure-specific installation proposal. A selected plan can be implemented from within a proposal platform of the disclosed systems and methods.