Common Information Model Design And Data Correlation Analysis For Intelligent Control Of Cigarette Equipment

At present,intelligent manufacturing,which is characterized by the accelerated integration of information technology and manufacturing,has become the main trend of global manufacturing development.In response to the development trend of international manufacturing industry,it is necessary to respond to a new round of industrial revolution and industrial transformation with intelligent manufacturing as the core.China has formulated a series of national development strategies such as “Internet +” and “Made in China 2025” to improve the intelligence level of China’s manufacturing industry.As an important source of China’s fiscal revenue and an important part of China’s manufacturing industry,the tobacco industry has opened up a new journey to explore new models of cigarette manufacturing in the tobacco industry,promoting tobacco intelligent manufacturing,and the transformation and upgrading of cigarette manufacturing enterprises.This paper firstly studies the related theories of common information models(CIM),and takes Ningbo Cigarette Factory as the research object.It conducts a comprehensive and in-depth analysis of the cigarette production process and key processes,and then designs the CIM model of cigarette equipment based on this.The cigarette equipment is divided into a group of packages according to the cigarette process flow.The relationship between the classes in each package is described by using the Unified Modeling Language(UML),and the specific definition of the device model is given.The method aims to provide theoretical and method support for the construction of equipment figurative model in the tobacco intelligent manufacturing support platform.Then,according to the intelligent control of key process indexes of tobacco drying section,a large number of process parameters of drying equipment was analyzed by using Spearman correlation coefficient and random forest theory.The intelligent control parameter model of the drying section equipment is arranged and designed to provide a data model and basis for the intelligent control of the drying section.Finally,the cigarette equipment is provided in the intelligent control support platform.Common information model is applied and the results are compared and analyzed,verifying the validity of the model.The thesis innovatively proposes a cigarette equipment information model based on the common information model theory to serve the intelligent control platform of cigarette production process,and provides a theoretical basis for establishing a tobacco intelligent platform for equipment interconnection and system interconnection.Furthermore,the thesis analyzes the correlation between the parameters of the drying section and the key process index of the drying section-cooling moisture with random forest algorithm,establishing the equipment intelligent control parameter model,which provides equipment technology for quantifying the manual control experience in cigarette production and evaluating the undetectable quantity in production.This will effectively promote the lean manufacturing of China’s tobacco industry into the lean intelligent manufacturing,and provide a digital model and data basis for the analysis of quality control systems for cigarette production in the future.