Remote Monitoring System for Machinery-electric-hydraulic Coupling Vibration of Food Processing Rolling Mill Screw-down System

Xin Liu,Xuefeng Bai,Hongjuan Zhang,Baoquan Jin

doi:10.19026/ajfst.10.2083

Abstract

Machinery-electric-hydraulic coupling vibration seriously affects the control accuracy of the food processing rolling mill. In this study, a remote vibration sensor monitoring method based on network technology is put forward. By using Siemens PLC, the state monitoring device is designed to realize the parameters measurement, such as vibration, current, pressure, force and temperature, etc. Then the parameter information is transferred to the configuration software system through the ethernet interface. The research result shows that the network-based remote sensor monitoring system of machinery-electric-hydraulic coupling vibration plays a key role in ensuring the normal work for food processing rolling mill screw-down system.

Highlights

There is an increasing requirement of improving the operation quality of food processing rolling mill due to the severe operation condition which is characterized by high speed, high pressure and high precision
Temperature sensor classified in food processing rolling mills: torsional, third-octave mode and fifth-octave-mode chatter
The state monitoring device is Six sets of pre-acquisition and processing stations were designed to realize the parameters measurement, such configured in the system to realize the measurement of as vibration, current, pressure, force and temperature, machinery-electric-hydraulic coupling vibration etc

Summary

INTRODUCTION

There is an increasing requirement of improving the operation quality of food processing rolling mill due to the severe operation condition which is characterized by high speed, high pressure and high precision. By using the technologies of computer, network, sensor, fault diagnosis and signal processing, vibration fault identification and prewarning system based on the parameter state characteristic is designed. Focused on these problems, thorough researches have been conducted and a series of achievements have been achieved (Brusa et al, 2010). In Dongxiao et al (2014) the nonlinear dynamics equation of coupled electromechanical drive system of food processing rolling mill was established with nonlinear friction drag based on Lagrange-Maxwell theory, which was used for characteristics analysis of complex electromechanical coupling in the main drive system.

Current sensor

General scheme of the network monitoring system

CONCLUSION