| Today,a new generation of information technology marked by innovative applications of the Internet is becoming a new kinetic energy for economic development.The digital economy led by big data and artificial intelligence technology is changing the traditional economic model.Since 2018,the introduction of relevant national support policies,coupled with the advancement of the manufacturing process of intelligence,China's manufacturing industry has gradually transformed into a smart manufacturing direction.As an important part of the manufacturing industry,the petrochemical industry generally has problems such as high production energy consumption,backward resource management mode,and scattered management information.To this end,under the framework of the integrated platform for production and operation management of petrochemical enterprise completed by the research group,this paper specifically studies the two parts of ethylene energy efficiency monitoring and evaluation methods and warehousing information management system.The main work is summarized as follows:(1)Through investigation of a petrochemical enterprise,the current problems and technical needs of the enterprise 's ethylene energy efficiency monitoring and evaluation and warehouse information management are summarized.Based on the integrated platform for production and operation management of petrochemical enterprise completed by the research group,this article put forward the integrated function framework of ethylene energy efficiency evaluation and warehouse information management,which laid the foundation for the improvement of system functions.(2)Ethylene energy efficiency evaluation methods: Ethylene cracking furnace is one of the most energy-consuming devices in the petrochemical industry.In order to achieve energy saving and improve energy utilization,the energy supply and output of the cracking furnace are analyzed,and a new energy efficiency indicator – diene yield of unit energy consumption is established.Through the mechanism analysis and Pearson correlation coefficient to select the variables,a soft-sensing prediction model of the diene yield of unit energy consumption based on the GA-LSSVM divided by the working conditions is established.On the basis of the energy efficiency level prediction model,a control strategy for optimizing the energy efficiency level of the ethylene cracking furnace is proposed.The fuel flow rate and the 3.5Mpa steam flow rate are optimized by the PSO algorithm to maximize the yield of diene yield of unit energy consumption,greatly improving the ethylene cracking furnace and economic benefits of the enterprise.Finally,the model and the ethylene energy efficiency monitoring and evaluation system are integrated to realize real-time monitoring,predicting and evaluating of the ethylene production process.(3)Warehouse Information Management System: The inventory management of petrochemical enterprises has problems such as using manual statistics,low work efficiency,error-prone statistic.On the basis of optimizing existing business processes and functional requirements,the functional design and module design of the warehouse information management system were completed.Based on B / S and MVC design models,this article design six functional modules of system management,user management,storage location management,material management,warehouse management,statistical analysis using SSM and EasyUi framework technology.And we completed module development and system functional testing,indicating that the system can greatly improve the efficiency of the enterprise's warehouse management,solve the error-prone problem of manual statistics,and realize the informationization and intelligence of the warehouse management. |
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