US20250173592
2025-05-29
Physics
G06N5/046
The integrated platform aims to address climate change by utilizing advanced data analytics and predictive modeling to inform policy activation. It consolidates emissions data from various sources into a unified structure, allowing for in-depth analysis through artificial intelligence and machine learning. This approach enables the prediction of temperature changes, extreme weather events, and emissions patterns. The platform features interactive dashboards that visualize these predictions, facilitating the activation of targeted sustainability policies.
The invention focuses on systems for monitoring and governing climate change using data aggregation, machine learning, and policy activation. It addresses the limitations of current solutions that track emissions in isolation without integrated analysis. Existing approaches often lack flexibility due to their dependence on specific cloud platforms. The platform seeks to overcome these challenges by providing a comprehensive framework that leverages diverse climate data sources for effective climate governance.
The platform integrates diverse environmental data into a unified repository through robust ETL processes. It applies AI and machine learning techniques to deliver predictive insights into climate phenomena such as temperature changes and emissions patterns. These insights are translated into actionable recommendations via interactive dashboards and policy workflow tools, empowering administrators to mitigate climate impacts effectively. The cloud-agnostic design ensures easy integration with existing technology stacks.
The system's architecture comprises multiple layers, starting with data acquisition from varied sources like sensors and satellites. A robust ETL process standardizes this data for integration into a consolidated repository. This data lake provides a comprehensive view of climate factors by combining historical and real-time data. The analytics layer then applies AI algorithms to derive insights, while the action layer translates these insights into real-world policies through interactive dashboards and automated workflows.
This platform represents a paradigm shift in climate governance, offering an end-to-end solution that transforms raw climate data into actionable insights for evidence-based decision-making. By enabling the orchestration of data gathering, analysis, and policy activation, it provides a systematic approach to addressing global climate challenges. The innovative use of technology in this system showcases its potential to drive high-impact sustainability outcomes worldwide.