Design And Implemention Of Remote Monitoring Data Management System For Automobile Dynamic Balancing Equipment

Due to the company's production of dynamic balance testing equipment,sales to various parts of the country,even exported to eastern Europe and other countries.In order to control the operation of the balancing machine equipment,it is necessary to monitor the core sensor in the equipment remotely.Through the analysis of the working scenario of the monitoring data management system,use the web service of Microsoft.Net platform to build the server in the company,the monitoring data of automobile balancing machine in each factory is transmitted to the server through Internet.Monitoring data management system uses object-oriented development method for software development,and UML modeling language is used to describe the development process.In the requirement analysis stage,the entity relationship and use case of the system are analyzed.After analyzing the performance requirements,the monitoring data is transferred asynchronously to reduce the pressure on the server.The monitoring data management system uses MVC architecture mode.In the data storage layer,MS SQL Server 2008 database and file storage are used to manage monitoring data.Monitoring data is carried in XML form,transmitted and stored.According to the use case analysis,the business layer designs the following system functions: monitoring data reception,monitoring data storage,threshold monitoring,monitoring data retrieval,system login,etc.According to the performance analysis,the thread management and connection pool are designed to make rational use of the system resources.Aiming at the information interaction between database and business layer,a new ORM framework is designed,and the decoupling between the two layers is completed.By analyzing and monitoring the data sample set,the method of monitoring data divide and offset to storage is designed.The complete data set is stored by dividing it into small data sets of equal length.All the data nodes in the small data set are equal offset,the offset is the first node value of the small data set,and then the data file is generated in the form of XML structure and stored in the hard disk of the monitoring system server.Then the hashing calculation of the new small data set is carried out,the eigenvalue is obtained,and the information such as the eigenvalue and the file storage address are saved into the database.When a new small data-set needs to be stored,first query its eigenvalues in the database,and if the query hits,you don't need to create a file store,just in Create a file association in the database.Using the storage method of segmented data sets is expected to reduce the data storage.According to the analysis of entity relationship,the system class diagram isestablished,and according to the functions designed by the monitoring data management system,the functional modules are divided,and the design process of the modules is described by using the sequence diagram.The implementation process of the module designed by the system,using the method of drawing flow chart,describes the process of completing the functional tasks.Finally,the data management system uses black box and white box to test and verify the system function.The server obtains the monitoring data of the balancing machine and successfully divides it into small data-sets,which are saved in the server.By restoring the offset combined small data-sets,the original data-sets are successfully accessed.