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基于小模型和AI算法的智能感知监测系统研究

Research on Intelligent Sensing and Monitoring Systems Based on Small Models and AI Algorithms

  • 摘要: 随着风电行业向智能化、数字化转型,传统的设备监测与运维模式已难以满足高效、精准、预测性维护的需求。本文基于光纤传感技术与AI大模型,设计并实现了一套“智能感知在线监测系统”。该系统通过集成多源数据采集、智能预警、故障诊断、3D可视化与智能运维等功能,构建了从“感知-传输-诊断-运维”全流程的智能化监测体系。

     

    Abstract: with the transformation of the wind power industry to intelligent and digital, the traditional equipment monitoring and operation mode has been difficult to meet the needs of efficient, accurate and predictive maintenance. Based on optical fiber sensing technology and AI model, this paper designs and implements a set of "intelligent sensing online monitoring system". By integrating the functions of multi-source data acquisition, intelligent early warning, fault diagnosis, 3D visualization and intelligent operation and maintenance, the system constructs an intelligent monitoring system from the whole process of "perception transmission diagnosis operation and maintenance".

     

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