Design Of Paper Machine Remote Health Management System Based On Cloud Platform

The paper machine is the important equipment that can make the paper fiber suspension into finished paper and plays an irreplaceable role throughout the process of papermaking.However,once the paper machine has a partial safety fault,it will cause a large-scale production suspension,which will bring high maintenance costs,damaging accidents and other problems to the paper enterprise.In order to avoid these problems,it is necessary to monitor the status of the paper machine,diagnose the failure of the paper machine,predict the health status of the paper machine,propose maintenance strategy of the paper machine,and manage system resources of the paper machine.However,the papermaking enterprises of China are huge.According to the data from the National Bureau of Statistics,by the end of 2017,there are 2,328 papermaking enterprises all above the national scale,aiming at the health management of paper machine for such a huge papermaking industry in China.The general health management system can not meet the needs,so it is necessary to design a remote health management system of paper machine with powerful computing and storage capabilities.After researching the related theories,characteristics and key technologies of health management technology and cloud computing technology,contacting the above-mentioned problems,this paper has designed a remote health management system of paper machine based on cloud platform.This system can collect the on-site parameters of the paper machine through the field collection terminal and transmit it to the health management center(the remote service end of the system)through the mobile communication technology.The paper machine health management center mainly establish the business logic layer of the health management center based on the resource and platform layer of the cloud platform,so which makes the tasks of calculating,analyzing,and storing the health management system to be completed by the cloud platform,and thenincreases system computing,analysis,storage and sharing capabilities.The system remote clients can access this system through mobile terminal applications and Personal Computer client.The main work of this paper includes the following aspects:(1)Analyze the requirements of paper machine remote health management system,and design a field acquisition terminal that can collect the relevant parameters of the paper machine in real time,and then upload to the health management center.The terminal can collect relevant data on the vulnerable parts of the paper machine(For example: temperature signal,humidity signal and vibration signal,etc.).Then,through the global mobile communication system,these data are transmitted in real time to the database of the resource layer of the cloud platform,and then the cloud services provided by the platform layer make these data available to the business logic layer of the system.Moreover,the terminal provides a friendly human-computer interaction interface,which facilitates on-site personal to manage and maintain the terminal.(2)Focus on the problem of BP neural network which leads to low recognition rate in fault diagnosis,this paper presents a neural network bearing fault diagnosis method based on the combination of PSO algorithm(Particle Swarm Optimization)and GSA(Gravitational Search Algorithm).This method can accurately identify a variety of paper machine bearing faults.The method firstly extracts the feature vector from the original vibration signal of the rolling bearing,then uses the memory ability and information sharing ability of PSO to improve the GSA,and uses this dual optimization algorithm to optimize the initial weights and thresholds of the BP(Back Propagation)neural network.A dual-optimized neural network model suitable for bearing fault diagnosis was formed.The experimental results show that the method of this paper can provide solutions for bearing fault diagnosis of the paper machine equipment.Therefore,the way can be applied to the fault diagnosis module of the system designed in the paper.(3)Design and implementation of the health management center(the remote server of the system)based on the cloud platform.Based on the cloud platform's cloud services,through the MYSQL database and JSP+Servlert+JavaBean technology to complete the development of the business logic layer,and thencomplete the establishment of the health management center of the system.In addition,when display the monitoring data,the latest open source data graphic design tool—Echarts is used to the system,which can realize personalized display of paper machine parameters and increase user experience.(4)In order to make the system easier for users to use through mobile terminals,this paper designs a mobile terminal application for the mobile client of the system through Android technology.When implementing the system APP,the functional structure of the APP is first designed,and then the data synchronization function is completed between the APP and the database.Finally,the interface of each functional module of the APP is designed and implemented,including: login,registration,and status Monitoring,resource management and other functional modules.(5)Testing and debugging of the whole system and the functional modules of this system,verifying the correctness and feasibility of the paper machine remote health management system based on the cloud platform.From the experimental results,it can be seen that this paper basically achieve the remote health management of the paper machine through cloud platform and health management technology,and then completes the prototype development of the system designed in the paper.