Design Of Remote Monitoring System For Tobacco Stem Sorting Device Based On Cloud Platform

The cloud-based remote monitoring system for tobacco stem sorting aims to improve production efficiency and product quality in tobacco stem sorting enterprises,and to promote enterprise transformation and upgrading.Traditional tobacco stem sorting methods mainly rely on mechanical and manual screening,which suffer from low efficiency,high labor costs,and high labor intensity.With the continuous development of technology,the combination of industrial production and intelligent control is becoming increasingly close,promoting the development of production industry towards intelligent,digital,and automated directions.Therefore,researching and designing a cloud-based remote monitoring system for tobacco stem sorting has significant academic significance and practical application value.This study aims to solve the traditional sorting device control mode,and achieve the automatic control of tobacco stem sorting through digital and intelligent remote monitoring mode.The system mainly consists of sensors,control circuits,clients,cloud platforms,and spectral image display visualization,thus realizing the function of remote monitoring.(1)A thorough analysis of the working principle and control principle of tobacco stem sorting was conducted,and based on the actual needs of users,the required functional modules for tobacco stem sorting were proposed.On this basis,a cloud-based remote monitoring system for tobacco stem sorting was proposed and a general scheme for the system was designed,while specific analysis of each module requirement was carried out.(2)The overall hardware framework of the designed remote monitoring system selects the hardware modules to implement the lower machine function of the remote monitoring system.The main control system with STM32F407 as the core processor is selected.The system includes temperature sensors,light source intensity sensors,camera modules,and PLC controller modules to achieve all-round monitoring of the tobacco stem sorting process.At the same time,the network communication module is used to achieve data information transmission between the lower machine and the upper machine client,in order to achieve the purpose of remote monitoring.(3)The upper machine client was designed and developed to integrate real-time status,sensor data,control execution,and other information of the various modules of tobacco stem sorting.The QT was used to develop a graphical user interface for human-machine interaction.Meanwhile,the client achieved communication connection with the lower machine hardware,color sorting module software,and spectral module software to complete data information exchange.The client has the characteristics of modularity,simplicity,ease of operation,and personalization,meeting the monitoring needs of tobacco stem sorting.Using the Django framework,an identity authentication login system was designed to improve the system’s security.On this basis,the interface development was carried out,and with the help of framework interfaces and components,combined with the database to achieve the monitoring web interface of tobacco stem sorting.The system has remote monitoring function,and avoids production safety issues,without involving control equipment function.(4)An improved spectral image visualization algorithm based on CIE1964 color matching is proposed in this study.By stretching the spectral weights of the CIE1964 standard,the algorithm can produce stable details and good colors while displaying spectral information within the visible light wavelength range.The method has been tested and evaluated by both visual perception and objective indicators,demonstrating the ability to generate results with structural details and good color performance that are consistent with real spectral images.The algorithm has low computational resource requirements and is suitable for displaying spectral images in both client and web applications.Through system testing and experimental analysis,the designed cloud-based remote monitoring system for tobacco stem sorting in this study has been verified to enable real-time remote monitoring of the tobacco stem sorting process.The system provides a good user experience with human-machine interaction.