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

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 mai

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Abstract 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. Keywords Internet of things diagnosis

 Printing machine  Fuzzy inference  Remote fault

1 Introduction With the rapid development of the publishing and printing industry, printing machines have distributed in every corner of the world. Although the production equipment are basically the same, but due to the uneven level of the maintenance personnel, the grasp of maintenance content, arrangements of maintenance period and the disposals of emergency maintenance tasks are all just relied on personal experience, resulting in remarkable differences in equipment fault reasons, fault phenomenon and solutions to the faults etc. Therefore, the fault diagnosis often needs many technical personnel to work together to complete the diagnosis, which H. Liang (&)  S. Cao (&)  X. Li  H. Xiang Beijing Key Laboratory of Signal and Information Processing for High-End Printing Equipment, Beijing Institute of Graphic Communication, Beijing, China e-mail: [email protected] S. Cao e-mail: [email protected] © Springer Nature Singapore Pte Ltd. 2017 P. Zhao et al. (eds.), Advanced Graphic Communications and Media Technologies, Lecture Notes in Electrical Engineering 417, DOI 10.1007/978-981-10-3530-2_103

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takes a long time and causes a high misdiagnosis rate. So, it is of important practical significance to develop the remote fault diagnosis system of printing machine.

2 Theoretical Foundation 2.1

Internet of Things Technology

In order to achieve the real-time judgment and analysis to the printing machine, we adopt the Internet of things technology and deploy the sensors in the key parts of the printing machine to collect the data periodically or in real time. Data acquisition includes voltage, current, temperature, pressure and flow of testing equipment, as well as the information of power state, communication state, alarm status, input and output interface state, sensor working state for data collection center [1]. First, the data is aggregated by the wireless communication and the sink node sends the preliminary processed data to the remote service platform for fault diagnosis by Ethernet. Then the service platform will store the real-time operating information of equipment and maintenance information into the database, providing th