基于实时意图识别与感知的网络业务质量智能管控系统
The intelligent network service quality management system, which utilizes real-time intent recognition, multi-dimensional perception fusion, and deep reinforcement learning, solves the problems of lagging intent recognition and perception separation in existing technologies, and achieves end-to-end proactive prediction and adaptive optimization of service quality.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HANGZHOU HUASI COMM TECH CO LTD
- Filing Date
- 2026-04-14
- Publication Date
- 2026-07-17
AI Technical Summary
Existing network service quality control systems have technical deficiencies in the integration of intent recognition and network perception, making it difficult to achieve real-time dynamic adjustment and end-to-end collaborative assurance. This results in lagging intent recognition, a disconnect from user needs, and a lack of proactive pre-adjustment capabilities.
By employing a real-time intent recognition module, a multi-dimensional perception fusion module, an intelligent control and decision-making module, and a cross-layer collaborative execution module, and through implicit intent mining, multi-dimensional perception data fusion, deep reinforcement learning decision-making, and cross-layer collaborative scheduling, it achieves deep integration of intent and perception and end-to-end business quality assurance.
It achieves improved real-time performance and accuracy of intent recognition, enhanced dynamic adaptive decision-making capabilities, improved resource utilization efficiency, and upgraded business quality assurance from passive response to proactive prediction and optimization, solving the problems of intent recognition and perception separation, lagging control response, and difficulty in end-to-end collaboration in existing technologies.
Smart Images
Figure CN122027562B_ABST