Information visualization is a technology that transforms complex data into a visual form for people to understand.In the field of human-computer interaction,information visualization technology is widely used in various fields.With the development of the Internet,network transmission failure has become a common problem.Traditional network fault monitoring methods are ineffi-cient and prone to leakage.In order to solve this problem,the research firstly extracts the characteristic quantities of visually commu-nicated network transmission fault information through image processing technology and classifies them by image-based processing;then the image-based information is inputted into the classifier to classify and identify the fault information,and finally the image classification results and human-computer interaction technology are combined as a fault monitoring system.The results show that the fault monitoring system constructed by the study has an average fault monitoring accuracy of 85.29％and an average false alarm rate of 11.59％,while the average operating cost in the monitoring process is $ 4,135.83,and all the results are better than the compari-son methods.This verifies that the proposed method of the study can improve the accuracy of fault monitoring of visual communication network transmission and has high practical value.
维普
万方数据