Research And Implementation Of Intelligent Warehouse System Based On Digital Twin

As the traditional manufacturing industry is gradually developing towards automation,digitization and intelligence,and the market competition is becoming increasingly fierce,tobacco leaf redrying processing enterprises are actively planning digital transformation work with "intelligent redrying" as the core,and strive to create high-quality tobacco leaf redrying intelligent manufacturing platform system.As an important hub for the storage and transfer of tobacco leaves,the warehouse plays an important role in the production and manufacturing process.However,the existing warehouse system has problems such as opaque processing information,serious delay in information interaction,and complex and difficult production scheduling.In view of the above status quo,this subject takes the intelligent warehouse system as the research object,and carries out the design and implementation of the digital twin intelligent warehouse system around the warehouse business process.It has realized the functions of warehousing information transparency,remote intelligent monitoring,dynamic rescheduling,etc.,which effectively improves the level of warehouse information management,improves the efficiency of dispatching batch tasks,and promotes the development of enterprises to a high-level "intelligent manufacturing" industry.This system is also applicable to the construction of digital twin intelligent warehouse systems in other industrial fields.The main research work of the subject is as follows:（1）By analyzing and explaining the development requirements and system design goals of the digital twin intelligent warehouse system,the relevant functional modules of the system are designed,and based on this,the digital twin intelligent warehouse system architecture is proposed,which is divided into observable element layer,data collection And control entity layer,core entity layer,user layer,and introduce the composition of each level of the system architecture and related associations.（2）According to the digital twin smart warehouse system architecture,for the digital twin model construction process for smart warehouse,the twin model is constructed from four dimensions: geometric model construction,object model construction,data model construction,and application model construction.Through the hybrid modeling of 3ds Max and Unity,a data transmission architecture based on OPC UA technology to realize data acquisition,storage and transmission is designed to realize the construction of a datadriven twin system and complete the synchronous mapping of physical information.In order to improve the transparency of processing information and reduce the delay of information interaction Offers new feasible ideas.（3）The optimization method of outbound batch task scheduling for smart warehouse is studied.A method to solve the single-machine scheduling problem by integrating the SPT-EDD heuristic rules is proposed.According to the analysis of the solution quality in the experimental results,a method of minimizing weighted task block scheduling with early and late penalties is further proposed.Compared with other meta-heuristic algorithms,the effectiveness and superiority of the algorithm are verified,and the efficient production scheduling of the outbound batch task scheduling scheme is realized.（4）Combined with twin model construction and scheduling optimization method research,the digital twin smart warehouse system was integrated and developed,and the data-driven system roaming interaction,real-time simulation,production scheduling and other functions were verified and tested,all of which met the system design requirements..In addition,the system operation performance is effectively analyzed,and Draw Call optimization and Shader optimization methods are proposed to improve the system operation performance.