Multimedia analysis and interactive control management system based on artificial intelligence

By employing modules for multi-source data perception, event fusion, state estimation, and adaptive control strategy generation, the problems of analysis uncertainty and control conflict in intelligent interactive systems are solved, achieving stable and reliable multi-objective collaborative control and improving the overall operational performance of the system.

CN122241180APending Publication Date: 2026-06-19BEIJING HUAKE ZHONGHE TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING HUAKE ZHONGHE TECH CO LTD
Filing Date
2026-03-18
Publication Date
2026-06-19

AI Technical Summary

⚠Technical Problem

Existing intelligent interactive systems lack a closed-loop decision management framework that coordinates "analysis uncertainty", "control stability" and "multi-objective conflict", resulting in unstable control decisions, oscillating execution effects and difficulties in multi-objective coordination.

⚗Method used

Employing a multi-source data perception and event-based module, a multi-modal event fusion module, a state estimation module, an adaptive control strategy generation module, and a control strategy arbitration and conflict resolution module, this system achieves real-time processing of multimedia data, event correlation, state estimation, and smooth adjustment of control strategies through probabilistic reasoning models and adaptive damping factors, generating a conflict-free executable control instruction set.

🎯Benefits of technology

It effectively overcomes the problems of overreaction and oscillation caused by perception misjudgment, improves the stability and reliability of the system in complex environments, and ensures the orderly and efficient execution of multi-objective control.

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Abstract

This invention relates to the field of artificial intelligence application technology, and more particularly to a multimedia analysis and interactive control management system based on artificial intelligence, comprising: a multi-source data perception and event generation module for collecting and processing multimodal raw data to generate atomic event streams; a multimodal event fusion module for spatiotemporally correlated aggregation of atomic events to form composite events; a state estimation module for analyzing composite events using a probabilistic inference model and outputting a state confidence vector; an adaptive control strategy generation module for generating and adjusting the final control strategy instructions based on the confidence vector using a damping factor; a control strategy arbitration and conflict resolution module for arbitrating conflicts in the instructions and generating a conflict-free executable instruction set; and an instruction distribution and execution feedback module for executing the instructions and collecting environmental feedback data to form a closed loop. This invention achieves complete automated closed-loop management from environmental perception to intelligent decision-making and robust control.
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