Research And Development Of Data Integration System For Cement Intelligent Manufacturing

Considering the global competition to implement advanced manufacturing strategies for achieving smart manufacturing,the Industrial Internet Task Force of China has released the Industrial Internet Innovation and Development Action Plan(2021-2023).This plan is of significant importance as it supports the development of a robust manufacturing industry and a robust network infrastructure,promotes the modernization of the industrial chain,facilitates high-quality economic growth,and fosters the creation of a new development model.In this paper,we have integrated the present production condition of a cement enterprise in Linyi with the necessity for industrial transformation and upgrading of the enterprise.The purpose of this integration is to develop an intelligent manufacturing data integration system specific to cement enterprises.The objective of this paper is to develop a data integration system for intelligent manufacturing in the cement industry.The system aims to support transparent information management of the cement production process.The specific research topics covered in this paper are as follows:(1)An overall design and functional analysis of the intelligent manufacturing data integration system for cement is outlined by analyzing the production process of cement enterprises and identifying the major challenges in data integration specific to the cement industry.(2)The paper elaborates on the detailed design of the data collection subsystem,which is based on the functional design of the data integration system.In particular,the overall data acquisition scheme is designed for the multi-source heterogeneous data in cement enterprises,to resolve issues of multi-source,heterogeneity,and data synchronization.Moreover,the paper presents discussions on the OPC-based production process data acquisition and smart meter data acquisition process.(3)This paper presents a detailed design of the data storage subsystem,building upon the functional design of the data integration system.To standardize the data tag structure,the paper outlines the selection of data monitoring points in the cement production process.The naming of data tags is based on criteria such as the type of tag and the production process to which it belongs.Additionally,the paper designs the production process database,energy database,environmental database,quality database,and enterprise management database to facilitate efficient storage and management of the data.(4)The paper outlines a detailed design of the data query and analysis subsystem in accordance with the functional design of the data integration system.To address the issue of low data query efficiency,a data view is designed.Furthermore,to expedite the identification of associated data in the production process,the paper employs the path-based analysis method to conduct correlation analysis of cement clinker calcination process data.This analysis leads to achieving data query visualization.(5)The paper realizes an intelligent manufacturing data integration system specifically for cement enterprises.First,the development environment for the cement data integration system is introduced.Next,the paper presents and demonstrates the login module,error log module,production monitoring module,and correlation query module.Finally,a performance analysis is conducted,evaluating the system’s response time for data queries,the processing speed for large amount of data,and data refresh rate.The intelligent manufacturing data integration system is capable of providing services such as data monitoring,fault alarms,and decision support to help cement enterprises operate more efficiently.