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Forgex WaterGrid

A Digital Twin platform for a novel building-integrated Atmospheric Water Harvesting (AWH) system.

MVP v1.0
License: Apache 2.0 & Commercial

Live Digital Twin

Vision

A Digital Twin platform built to model, simulate, and verify the performance of a novel Atmospheric Water Harvesting (AWH) façade system. This software is based on my invention — an Atmospheric Water Harvesting System for Building Facades using PEG-SiO₂ Nanocomposite and Adaptive Mechanisms. The concept was formally described in my article on TechRxiv: DOI: 10.36227/techrxiv.175735328.82069490/v1. The system combines: - PEG-SiO₂ nanocomposite coatings to enhance condensation - Adaptive façade mechanisms to dynamically regulate environmental exposure - Digital simulation & verification layers to model and optimize performance

Invention & Project Vision

The invention addresses a critical challenge: providing scalable, sustainable water generation in urban environments. By integrating nanomaterials with building facades and augmenting them with adaptive controls, buildings themselves can act as distributed water harvesting infrastructure. Forgex WaterGrid turns this invention into a digital twin simulation platform — making it possible to: - Forecast water yields based on climate, façade surface, and adaptive settings - Compare scenarios across cities and regions - Provide transparent, verifiable models for municipalities, investors, and policymakers - Build the foundation for future IoT-enabled façade systems This project therefore serves a dual role: 1. As the software expression of my invention 2. As the first digital twin ecosystem for decentralized atmospheric water harvesting

Key Features

Real-World Weather Data Integration

Adaptive Mechanism Modeling

AI-Powered Anomaly Detection

Dashboard Visualization

Tech Stack

Python
FastAPI
Pydantic
Scikit-learn
Plotly.js
Bootstrap

Getting Started

git clone https://github.com/your-username/forgex-watergrid.git
cd forgex-watergrid
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt

Run

uvicorn api.main:app --reload

API Specification

{
  "location": "string",
  "surface_area": "float"
}