Design of the Remote Fault Diagnosis System for the Printing Machines Based on the Internet of Things and Fuzzy Inference

In view of the maintenance difficulties of printing machines due to their wide distributions and high degree of automation, a remote diagnosis system based on Internet of things and fuzzy inference is designed. By deploying a variety of sensors in the main parts of printing machines, the remote diagnosis system can obtain, analyze and process the real operation data of printing machines, achieving the intelligent diagnosis to the printing machine faults. Besides, combined with the web application, it can be connected with remote fault diagnosis center to provide remote fault diagnosis service together. The system overcomes the shortages of traditional fault diagnosis technology, achieving the purpose of diagnosing the printing machine faults remotely.