Systems and methods for ai-based climate system control

The AI-based framework addresses the limitations of current control systems by predicting user behaviors and adapting climate and security systems, enhancing user comfort and efficiency through dynamic management.

WO2026064367A1PCT designated stage Publication Date: 2026-03-26RESIDEO LLC
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Patent Information

Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Filing Date
2025-09-17
Publication Date
2026-03-26

AI Technical Summary

Technical Problem

Current control systems and security systems lack the ability to accurately predict human behaviors and adapt to real-time events to meet user needs, often being reactive rather than proactive, leading to inefficiencies in climate and security management.

Method used

A computerized framework leveraging AI, machine learning, and large language models to predict user preferences and adjust climate and security systems dynamically based on spatial, temporal, and logical data, integrating with smart home ecosystems for personalized control and energy efficiency.

Benefits of technology

Enables adaptive, personalized control of climate and security systems, improving user comfort, safety, and energy efficiency by anticipating user needs and reducing false alarms and energy costs.

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Abstract

Disclosed are systems and methods that provide a novel framework for automatically and dynamically controlling and managing a climate system at a location based on past, present and / or predicted spatial, temporal, logical and / or user / device data at the location. The disclosed framework can maximize the capabilities of an implemented control system (e.g., climate and / or security) to leverage AI / ML and / or LLM predictions via novel mechanisms to understand the current and / or future needs of a user(s) within such location. The framework can enable automated notifications and / or responses to control a current environment of a location, as well as the desired environment of a user at and / or within the location, such that framework can provide, in concert with the control system at the location, a dynamically adaptive, automated system that can leverage generative software to control how climate and / or security systems control an environment tied to the comfort and protection of a locations' occupants.
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Citation Information

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