多媒体教室设备异常状态智能预警技术研究  

Research on intelligent early warning technology of abnormal state of multimedia classroom equipment

作　　者：俸闻婧 Feng Wenjing(Information Science Department of Guiyang Vocational and Technical College,Guiyang 550081,China)

机构地区：[1]贵阳职业技术学院信息科学系,贵阳550081

出　　处：《现代计算机》2024年第12期37-41,共5页Modern Computer

摘　　要：当前的智能教室建设中,相关设备异常状态智能预警流程多为独立结构,预警的覆盖范围受限制,是异常状态监测中的一个难点问题。因此,研究一种多媒体教室设备异常状态智能预警技术。根据当前的预警需求,首先进行异常特征识别,采用特征关联的方式,打破预警覆盖范围的限制。设计自适应预警流程及预警趋势分析,并构建人工智能教室设备异常状态智能预警模型,采用持续追踪标定的方式来完善智能预警结果。测试结果表明:所提方法的预警模糊预测值整体保持在0.80以上,预警均值误差接近0,且预警灵敏度高,说明此次所设计的多媒体教室设备异常状态智能预警技术高效、细化、针对性强,具有实际的应用价值。In the current construction of intelligent classroom,the intelligent early warning process of abnormal state of related equipment is mostly independent structure,and the coverage of early warning is limited,which is a difficult problem in the monitoring of abnormal state.Therefore,an intelligent early warning technology of abnormal state of multimedia classroom equipment is studied.According to the current early warning requirements,the abnormal feature is identified first,and the way of feature association is adopted to break the limitation of early warning coverage.Design the adaptive warning process and early warning trend analysis,build the intelligent warning model of abnormal state of AI classroom equipment,and adopt the way to improve the intelligent warning results by continuous tracking and calibration.The test results show that the fuzzy prediction value of the proposed method remains above 0.80,the warning mean error is close to 0,and the warning sensitivity is high,indicating that the intelligent warning technology of abnormal state of multimedia classroom equipment designed this time is efficient,detailed,targeted,and has practical application value.

关 键 词：多媒体教室 教室设备 异常状态 智能预警 预警技术 设备整合 

分 类 号：G481[文化科学—教育学] TP277[文化科学—教育技术学]