Collaborative Scheduling Optimization Of Operation Equipment In Automated Container Terminal Considering Energy Consumption

With the advent of the “Internet+” and 5G era,building green,smart,safe,professional and efficient ports is the main trend in global port development.As an important symbol of green and smart ports,automated container terminals are leading new changes in port construction.Whether it is a newly built terminal such as Shanghai Yangshan Port Automated Container Terminal or a traditional terminal upgrade to an automated container terminal such as Tianjin Port,the concept of a green,smart,economical and efficient port is always upheld.The construction,transformation and upgrading of the automated container terminal is mainly to realize the automation of production operations.By increasing the investment of automated operation resources,the use of advanced automated terminal operation equipment,such as dual-carriage automated quayside cranes,automatic guided vehicles and automated dual-track cranes,promotes the construction and application of automated container terminals by means of intelligent scheduling,remote control,energy consumption monitoring,and safety early warnings.Therefore,from the perspective of green energy conservation,studying the collaborative scheduling of automated container terminal operation equipment is of great significance to improve the overall operating efficiency of automated terminals,reduce energy consumption,and realize intelligent scheduling.The research object of this paper is the core operation equipment of automated container terminals.The focus of the research is on the optimization of collaborative scheduling among automated operating equipment.The dual optimization goals are minimum total operating time and total energy consumption and the target priority is set,with the minimum total operating time is the first priority,the minimum total operation energy consumption is the second priority.Under the premise of ensuring the production efficiency of terminal,the optimization goal of energy consumption is taken into account.By adjusting the number configuration relationship of AQC,AGV and ARMG,the importance of coordinated scheduling among automation equipment is highlighted.The main research contents of this paper are as follows:The definition of the boundary of research on the collaborative scheduling of automated container terminal operation resources and the optimization goals are proposed.Through the analysis of the core operation resources and import and export operation procedures of the automated container terminal,the scope of this paper is limited.To highlight the key research on the collaborative scheduling problem between the automated operation equipment,the upper limit of the research boundary is the automated dual-trolley quay crane loading and unloading operation,and the lower limit is the automatic double-track crane storage yard.Research on the dual optimization goals of terminal operation time and energy consumption.(1)A collaborative scheduling system based on low energy consumption for automated container terminal operation resources is developed.Based on the analysis of the automated container terminal operation system,this paper constructs the structural model,relational model and framework model of the scheduling of automated terminal operation equipment to provide the theoretical basis for the following research.(2)Research on automated dual-trolley quay crane and AGV collaborative scheduling considering the energy consumption is performed.Taking the loading and unloading equipment and horizontal transportation equipment in the core operation resources of the automated container terminal as the research object,by analysing the respective operation characteristics and energy consumption,the total operation time and total energy consumption are the dual optimization goals,and the target priority is set to construct AQC and AGV coordinated scheduling model,the AQC transfer platform capacity limit and other constraints are introduced in the modelling process,the two-stage tabu search algorithm is designed to solve the model,the effectiveness of the model and algorithm is verified through an example experiment,and the coordinated scheduling programme of the AQC and AGV is finally obtained.(3)Research on AGV and automated rail-mounted gantry coordinated scheduling considering energy consumption.Taking the horizontal transportation equipment and yard storage equipment in the core operation resources of the automated container terminal as the research object,by analysing the respective operation characteristics and energy consumption,the total operation time and total energy consumption are the dual optimization goals,the target priority is set to construct the AGV and ARMG coordinated scheduling model,introducing constraints such as dual ARMG mutual interference are introduced in the modelling process,a multi-layer genetic algorithm is designed to solve the model,and the effectiveness of the model and algorithm is verified through example experiments,and finally the AGV and ARMG collaborative scheduling programme is obtained.(4)Research on collaborative scheduling of AQC,AGV and ARMG considering energy consumption.Taking the loading and unloading equipment,horizontal transportation equipment and yard storage equipment in the core operation resources of the automated container terminal as the research objects,by analysing their respective operation characteristics and energy consumption,taking the total operating time and total energy consumption as dual optimization goals and based on a hybrid flow shop system,a integrated scheduling model of the AQC,AGV and ARMG is built,an improved drosophila optimization algorithm is designed to solve the model and an adaptive step-size strategy is introduced in the olfactory search stage,and a coordination mechanism is introduced.At last,the effectiveness of the model and algorithm is verified by calculation examples.