一种面向目标操作系统的意图解析及智能控制方法及系统

By constructing an intent recognition model specific to the target operating system, the problems of insufficient ecosystem adaptation and high resource consumption in existing technologies are solved, achieving efficient and secure intelligent interaction and control, and improving the ease of use and autonomous controllability of the operating system.

CN122222038BActive Publication Date: 2026-07-17KYLIN CORP
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
KYLIN CORP
Filing Date
2026-05-18
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing operating system intent parsing and intelligent control technologies suffer from insufficient ecosystem adaptation, low intent recognition accuracy, excessive hardware resource consumption, and security risks, failing to meet user interaction needs in complex scenarios.

Method used

We construct an intent recognition model specific to the target operating system, and through pre-trained model transfer learning, data augmentation and optimization, combined with adversarial training and quantization techniques, we achieve accurate recognition of user intent and system control.

Benefits of technology

It improves the intelligent interaction efficiency and operational stability of the target operating system, achieves accurate recognition of simple, complex and fuzzy user commands, reduces memory usage and ensures the system's autonomy, controllability and security.

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Abstract

本发明公开了一种面向目标操作系统的意图解析及智能控制方法及系统,本发明面向目标操作系统的意图解析及智能控制方法包括获取用户输入指令;加载并利用预训练的意图识别模型解析用户输入指令并结合历史会话获取用户意图和槽位数组,所述槽位数组包括对目标操作系统控制所需的控制参数;判断槽位数组是否有缺失,如果有缺失则生成追问引导用户补充缺失信息,返回重新获取用户输入指令;否则将用户意图和槽位数组转换成系统控制命令及其控制参数并执行,完成对目标操作系统的智能控制。本发明旨在提升目标操作系统的智能交互效率与运行稳定性,助力目标操作系统在专业化应用场景中实现易用性与自主可控性的双重突破。
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