Research on intelligent early warning technology of abnormal state of multimedia classroom equipment
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 monitor-ing 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 associa-tion 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 intelli-gent 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.
multimedia classroomclassroom equipmentabnormal stateintelligent early warningearly warning technologyequipment integration
NETL
NSTL
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