Fault Diagnosis of Educational Interactive Information Based on Artificial Intelligence Algorithm Model
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.
advanced measurement infrastructurepoint cloud registration algorithmabnormal measurement and detectionbig data processingwireless communication technology
万方数据
维普
