Research On Substrate Loss Prediction Analysis And Integrated System For Printing Production

In recent years,intelligent manufacturing has gradually become a development trend in the global manufacturing industry.In order to adapt to this new trend and promote the transformation and upgrading of printing enterprises,it is urgent to improve the development of information technology in production.As a production information management system for the manufacturing workshop execution layer,the Manufacturing Execution System provides a good solution for intelligent production transformation.However,due to the weak targeting of system functions,the application level of MES in most small and medium-sized printing enterprises is not high,resulting in many problems such as outdated production data storage and processing methods,poor production data interoperability,lack of production management and equipment maintenance technical means,and arbitrary material planning management.This article takes the printing production of an enterprise in Wenzhou as the research object.In response to the above-mentioned problems,a demand survey is conducted for the enterprise.Combined with the analysis of substrate loss prediction,an MES integrated system for printing production is designed,including production workshop data collection and upload,production management platform,and equipment maintenance client.The system has been successfully applied in the researched enterprise.The main work completed is summarized as follows:(1)A data acquisition method based on fieldbus was proposed.Firstly,the equipment data properties were classified,and then Modbus was determined as the communication protocol between the upper computer software and the equipment.Based on the design concept of the factory pattern,the communication rules of different equipment were encapsulated in the form of dynamic link libraries.The serial port instance object calls the dynamic link library as needed to realize data acquisition.Finally,a process guardian mechanism was designed to keep the upper computer software alive in the form of an APP.(2)A data upload method based on cloud-edge collaboration was proposed.Firstly,the cloud-edge communication standard was formulated based on MQTT.Secondly,the design concept of "publish/subscribe mode" was used to implement the design of cloud-edge upload service from the three layers of publisher,broker,and subscriber.The Webhook paradigm was used to optimize the design to ensure the completeness and continuity of data upload.Finally,the CBC encryption mode was used to complete the encrypted storage of cloud data.(3)Based on the front-end and back-end separation and microservices technology,an application software running on mobile phones and web platforms has been developed,which includes a production management platform,an equipment maintenance system Android and IOS client software.The production management platform mainly realizes functions such as order import,work order generation,MRP calculation,and production reporting.(4)Combining research on loss prediction methods and MRP in printing production,a CS-SVR model for substrate loss prediction in the printing process was proposed,and PCC was used to quantify the feature selection process.Finally,the feasibility of the model was verified based on actual enterprise data,and comparative experiments were conducted to demonstrate the superiority of the model construction.After a period of trial operation in a printing enterprise in Wenzhou,the integrated system has been proven to be feasible for printing production.It can operate stably and efficiently in the enterprise,supporting data collection and upload,production management,and equipment maintenance in the workshop.The system has improved the production efficiency and information level of the enterprise to a certain extent,reduced the dependence of the enterprise on production labor,and enhanced the competitiveness of the enterprise in the new trend of intelligent manufacturing development.