Research On Intelligent Key Technology Of MES System For Domestic Ceramics

In the era of industry 4.0,traditional industries are transforming to intelligent manufacturing.As a local pillar industry,Tangshan daily ceramics industry is facing the pressure and opportunity of transformation and upgrading.On the one hand,the diversification of orders makes the ceramic production develop to the direction of more varieties and less batches,and the characteristics of many kinds,complicated processes and long production cycle lead to the long order scheduling decision cycle of business personnel,which leads to the failure of on-time delivery and the frequent occurrence of over short shipment.On the other hand,as a large-scale core equipment of ceramic firing process,the faults of industrial kiln in production often have the characteristics of non-linear,imprecise and multi parameter,and the lag of artificial diagnosis and treatment will have a serious impact on the quality and output of ceramic process,even a large number of waste products.Therefore,this thesis studies the intelligent scheduling algorithm and fault diagnosis expert system based on fuzzy reasoning,and then realizes an intelligent manufacturing execution system(MES)for daily ceramics.The main work of this thesis is as follows(1)Aiming at the problem of inaccurate manual planning and scheduling in ceramic enterprise production,this thesis establishes a scheduling model in advanced planning and scheduling(APS)to meet the process constraints of ceramic enterprise,and solves the scheduling problem by improving the coding mode,crossover and mutation operation of traditional population genetic algorithm.Finally,the simulation data and the actual orders of enterprises are taken as examples to verify the effectiveness of the method and solve the problem of diversified order scheduling in the daily ceramics industry.(2)Aiming at the problems of difficult matching of kiln equipment fault and symptom in ceramic production and lagging of artificial diagnosis,this thesis combines the expert system in the field of artificial intelligence with fuzzy theory,designs and constructs an expert knowledge base based on production rules The fuzzy reasoning algorithm design and output value clarity of forward reasoning control process are three processes to realize the reasoning of furnace fault diagnosis,and the effectiveness of the expert system is verified by practical cases.(3)Based on the architecture of Internet of things,an intelligent MES system for daily ceramic production is designed and implemented by integrating the functions of scheduling,production execution,data visualization and fault diagnosis.The design and implementation process of two key intelligent technologies,scheduling and fault diagnosis,proposed in this thesis are discussed in detail.