USPTO Patent Grant: AI Environmental Planning and Decision Support
Summary
The USPTO has granted a patent (US12585971B2) to Klimanovus LLC for systems and methods using AI and data fusion from distributed sensor networks for environmental planning and natural hazard risk assessment. The patent covers AI-driven risk scoring and mitigation actions based on combined sensor, property, infrastructure, and environmental data.
What changed
The United States Patent and Trademark Office (USPTO) has issued patent US12585971B2, titled "Systems and methods for automatic environmental planning and decision support using artificial intelligence and data fusion techniques on distributed sensor network data." The patent, assigned to Klimanovus LLC, details a system that utilizes AI and data fusion from distributed sensor networks, property data, community infrastructure data, and environmental data to determine natural hazard risk scores. This allows for the generation of combined data and the implementation of machine learning methods to assess community risk and perform mitigating actions.
This patent grant represents a new technological development in the application of AI for environmental risk management. While patents do not impose direct regulatory obligations on other entities, they can influence industry standards, drive innovation, and potentially lead to future licensing or regulatory considerations. Companies operating in environmental monitoring, AI development, or disaster preparedness should be aware of this patented technology, as it may impact their product development or intellectual property strategies.
Archived snapshot
Mar 25, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
Systems and methods for automatic environmental planning and decision support using artificial intelligence and data fusion techniques on distributed sensor network data
Grant US12585971B2 Kind: B2 Mar 24, 2026
Assignee
Klimanovus LLC
Inventors
Venkata Reddy Modugula, Raghuveer Kaushik Vinukollu
Abstract
Disclosed are systems and methods for community-based multi-sensor fused data processing to determine natural hazard risk. In one embodiment, a system comprises one or more memory units storing instructions and one or more processors configured to execute the instructions to receive localized data from a distributed multi-sensor network, the distributed multi-sensor network including a plurality of sensor devices associated with a community, receive property data, community infrastructure data and environmental data from at least one external repository, generate combined data using data fusion, the combined data being based on the localized data from the distributed multi-sensor network and at least one of the property data, community infrastructure data or the environmental data, determine a community risk score for a natural hazard by implementing a machine learning method on the combined data, and perform a mitigating action based on the community risk score.
CPC Classifications
G06N 5/045
Filing Date
2023-02-15
Application No.
18169565
Claims
20
Named provisions
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Source
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