Research On Optimization Of Parameter Configuration And Operation Of AGV System In Production Workshop Based On Intelligent Simulation

AGV(Automated Guided Vehicle)is a kind of flexible automatic logistics equipment which integrates automation,information and intelligence.Due to its high flexibility,high efficiency,high reliability and intelligent characteristics,AGVS(Automated Guided Vehicle System)has been widely used in production and manufacturing systems,storage and logistics systems,logistics distribution centers,automated container terminals and other fields,and has played a huge role in improving logistics efficiency.From the perspective of design and operation of AGVS,optimal allocation of AGVS parameters,dynamic and real-time collision free path planning of AGVS,multi-resource integrated dynamic and real-time scheduling of AGVS and dynamic real-time intelligent control of AGVS are the key technologies to ensure the efficient and low-cost operation of AGVS.Scholars at home and abroad have done a lot of theoretical and practical work in this field.Although a lot of achievements have been made,there are still many problems to be solved or improved.Since AGVS is a complex,stochastic and dynamic system,it is difficult to accurately describe the authenticity of AGVS by establishing mathematical models due to model simplification,constraint deletion and other reasons.therefore,it is difficult to use traditional methods to establish mathematical analytical models combined with intelligent optimization algorithms to obtain the optimal solution in the real scene.However,the intelligent simulation method can use the system simulation technology to simulate the essential characteristics of AGVS operation,obtain more detailed information,and combine the intelligent optimization method to solve the problem better.So this paper adopts the intelligent simulation method to study the configuration and operation optimization of AGVS,the main research works and achievements are as follows:(1)Optimized configuration of AGVS parametersThe intelligent simulation method based on surrogate model is used to realize the optimization configuration of AGVS parameters.The discrete event simulation and response surface optimization method are combined,the AGVS simulation model is established by discrete event simulation,and the parameter sensitivity analysis is carried out.The Central Composite Design test method is used to conduct simulation tests and fit the first-order and second-order response surface models,and the optimal configuration of AGVS parameters is obtained by response surface analysis.Finally,the validity of the method is verified by a case study.(2)AGVS dynamic real-time collision-free path planningThe intelligent simulation method based on multi-agent simulation is adopted to realize dynamic real-time collision-free path planning of AGVS.Multi-agent hierarchical structure is built to realize multi-agent modeling and simulation of AGVS.The improved A* path optimization algorithm and six types of AGV conflict prediction and elimination strategies are integrated into AGVS multi-agent simulation.Multi-agv dynamic real-time path optimization and collision avoidance are realized.Finally,the validity of the method is verified by a case study.(3)AGVS multi-resource integrated dynamic real-time schedulingAiming at the dynamic real-time scheduling problem of multi-resource integration of AGVS with machine tools and workpieces in flexible manufacturing system,the intelligent simulation method based on hybrid simulation is adopted.The discrete event simulation and multi-agent simulation are mixed to establish the AGVS scheduling simulation model.The multi-agent hierarchical architecture is established and the immune autonomous negotiation mechanism of multi-agents is integrated in the hybrid simulation.the self-decision-making and adaptive dynamic real-time scheduling of AGV integrated with machine tools and artifacts is realized.Finally,the effectiveness of the method is verified by a simulation case.(4)AGVS virtual-real fusion intelligent management and control method based on digital twin.The intelligent simulation method based on digital twin technology is used to solve the problem of AGVS virtual-real fusion intelligent management and control.The system architecture of AGVS intelligent management and control is established based on the digital twin five-dimensional model.The data acquisition and instruction execution mechanism of AGV physical system,real-time simulation optimization mechanism of virtual simulation system,twin data fusion and interaction mechanism,intelligent control and optimal decisionmaking mechanism are analyzed.On this basis,the AGVS digital twin management and control engineering test bed is developed and built,the intelligent simulation and optimization decision-making methods including AGVS parameter configuration method,AGVS dynamic real-time collision-free path planning method and AGVS multi-resource integration scheduling method are integrated into the test bed to realize self-decision-making and selfadaptation of AGVS management and control driven by digital twin.Finally,the effectiveness and practicability of the method are verified by an engineering case.