Research On Scheduling Optimization And Visual Simulation Of Segment AGV Machining Shop

With the change of market demand,China’s manufacturing industry has gradually formed the characteristics of multi variety,small batch and short cycle.It puts forward higher requirements for the optimization of production process and the formulation of production plan.Shortening the manufacturing cycle and improving the utilization of production resources have become the key to the development of manufacturing industry in the intelligent manufacturing environment.Most manufacturing processes only consider the optimal scheduling of personnel and machine tools.With the development of production technology,more and more resources are extended to the object of integrated optimization.As a typical means of transportation in intelligent manufacturing system,AGV plays an indispensable role in the workshop automation manufacturing process.It has become a research hotspot to consider AGV resources in production scheduling.In order to realize the optimization of Job Shop Scheduling Considering AGV and machine tool dual resources and the visual verification of scheduling scheme,the following research is carried out in this paper:Firstly,the domestic research results are analyzed to provide technical reference for the problem modeling and optimization algorithm design;By analyzing the system composition,work flow and production scheduling characteristics of the segmented AGV machining workshop,combined with the requirements of multi resource scheduling optimization and visual simulation verification of scheduling scheme,a framework of production scheduling optimization and visual deduction system integrated with AGV scheduling is designed.Secondly,aiming at the scheduling problem of machine shop with dual resources of section type AGV and machine tool,the mathematical optimization model of the scheduling problem is established by analyzing the material transfer type,AGV handling task type and machine tool operation state of the section type path system,and taking the minimum maximum completion time as the evaluation index of the scheduling scheme.The coding and decoding scheme is formulated,and a hybrid genetic algorithm is used to solve the model.The feasibility of the hybrid genetic algorithm is verified by solving the extended case.Then,in order to realize the verification and evaluation of the scheduling scheme,a visual deduction system of scheduling scheme is developed by using virtual reality technology.The class library of virtual object is established by using object-oriented modeling idea and unified modeling language,and a control method of virtual object is designed.The visual deduction process control of the scheduling scheme is carried out from three aspects:workshop scene initialization,simulation task initialization and scheduling task trigger mechanism.Finally,a prototype system of production scheduling optimization and visual deduction for AGV machining workshop is developed.Through the case to verify the feasibility of the system,the optimization scheme is obtained and verified by visual deduction.In the virtual space,the dynamic execution of the scheduling scheme is observed intuitively,and more morphological information is obtained.The relevant data are counted to provide the basis for the decision-maker to evaluate the scheme.This system is used to simulate the AGV quantity allocation and optimize the AGV quantity allocation in the same workshop layout and different production scale.