微型电脑应用2024,Vol.40Issue(5) :171-174.

基于人工智能算法模型的教育交互信息故障诊断

Fault Diagnosis of Educational Interactive Information Based on Artificial Intelligence Algorithm Model

李巧 李丰
微型电脑应用2024,Vol.40Issue(5) :171-174.

基于人工智能算法模型的教育交互信息故障诊断

Fault Diagnosis of Educational Interactive Information Based on Artificial Intelligence Algorithm Model

李巧 1李丰1
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作者信息

  • 1. 岑溪市中等专业学校,计算机专业部,广西,岑溪 543200
  • 折叠

摘要

针对现代教育信息技术存在异常交互结果以及效率低的问题,提出了一种新型的先进交互基础设施(AMI).通过内部的教育数据交互传感模块,调节旋钮能自动调节硬件校准、检测异常交互参数,使得AMI教育资源管理设备迅速地查到准确的交互异常信息.通过无线通信传输至后台管理系统,该系统采用点云配准(PCR)算法进行实时异常检测,判断教育数据异常时间,找到异常原因.通过在某地教育学院进行仿真测试,结果表明,在不同测试样本数量下,该研究采用的方法交互异常检测的准确率平均值高达95.24%.

Abstract

Aiming at the problems of abnormal interaction results and low efficiency of modern educational information technolo-gy,a new type of advanced measurement infrastructure(AMI)is proposed.Through the internal education data interactive sensing module,the adjustment knob can automatically adjust the hardware calibration detection abnormal interaction parame-ters,so that AMI educational resource management equipment can quickly find accurate interaction abnormal information.It was transmitted to the background management system through wireless communication.The point cloud registration(PCR)algorithm is used to conduct real-time anomaly detection,determine the abnormal time of the education data,and find the cause of the anomaly.Simulation tests are carried out in an education institute,and the results show that the average accuracy of the interaction anomaly detection method adopted in this study is as high as 95.24%under different test samples.

关键词

先进交互基础设施/点云配准算法/异常交互检测/大数据处理/无线通信技术

Key words

advanced measurement infrastructure/point cloud registration algorithm/abnormal measurement and detection/big data processing/wireless communication technology

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出版年

2024
微型电脑应用
上海市微型电脑应用学会

微型电脑应用

CSTPCD
影响因子:0.359
ISSN:1007-757X
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