Building automatic control system intelligent regulation and control method and system based on artificial intelligence

CN120802810AActive Publication Date: 2025-10-17SHANGHAI FEIXIN SOFTWARE TECH CO LTD

Patent Information

Application Number
CN202511309348.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-09-15
Publication Date
2025-10-17
Estimated Expiration
2045-09-15

AI Technical Summary

Technical Problem

Traditional building automation systems lack an in-depth understanding of equipment and the environment and the ability to dynamically adjust and control them, resulting in energy waste and poor control effects, and are unable to adapt to complex and changing environments and equipment conditions.

Method used

By building an AI-based target-associated cognitive network, collecting equipment and environmental data, identifying situational features, and generating dynamic control plans, intelligent control and energy optimization of equipment can be achieved.

Benefits of technology

It realizes comprehensive perception and correlation analysis of the building's operating status, dynamically adapts to complex and changing environments and equipment conditions, improves energy utilization efficiency, reduces energy consumption, and ensures stable and efficient operation of buildings.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The invention provides an intelligent regulation and control method and system for a building automatic control system based on artificial intelligence, and the method comprises the steps: building a target association cognitive network through collecting the real-time operation data of all equipment in the building automatic control system and the real-time environment data of all functional regions; the target association cognitive network comprises an equipment entity node, an environment entity node and an association relationship between entities. The network is used for carrying out situation recognition to generate a target situation feature set, then situation cognition is carried out to recognize a current building operation situation type, a dynamic regulation and control scheme containing equipment regulation and control priorities and parameter regulation sequences is generated according to the situation type, and the dynamic regulation and control scheme is converted into a control instruction to be issued and executed. And data after regulation and control are acquired to update the target association cognitive network, so that intelligent, dynamic and efficient regulation and control of the building automatic control system are realized.
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Citation Information

Patent Citations

  • Building operation and maintenance method and system based on digital twinning

    CN119558689A

  • Production equipment intelligent regulation and control method and system based on real-time feedback

    CN120595751A

  • Operation control system and method for building equipment

    CN120630794A

  • Device identification on a building automation control network

    US20190356550A1

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