Automatic container wharf exit box space distribution method

Abstract

The invention discloses an automatic container wharf exit box space distribution method. The method comprises the following steps: solving an exit container space distribution problem by utilizing a genetic algorithm, wherein each gene site on the chromosome represents a selectable shellfish site; setting an optimal target function on the basis of the shipment turnover time of an exit container, solving the allocation quantity of each bay in each container area, simulating a port gathering sequence of all containers under the allocation quantity on the premise of knowing the allocation quantity of the bays, and outputting the stacking state information of all the containers according to a set container stacking rule. According to the method, the outlet box space distribution problem is optimized based on the genetic algorithm, more reasonable space distribution is achieved, and the method can be practically applied to various wharf scenes such as unknown ship berths and random harbor gathering sequences.

Description

technical field [0001] The invention relates to the technical field of wharf construction, and more particularly relates to a method for allocating space for export boxes of an automated container wharf. Background technique [0002] At present, port logistics has become an important participant in the country's foreign economic circulation, and the number of export container business at port terminals is also increasing. The port terminal is a multi-combined complex system. The efficiency of the entire terminal is composed of the frontier logistics subsystem, the storage yard box area subsystem and the landside logistics subsystem. At the same time, in order to enhance their competitiveness, major terminals, taking Qingdao Port, Shanghai Yangshan Port, Guangzhou Nansha Port and other high-throughput ports as examples, have gradually introduced automated terminal horizontal transportation equipment between the yard and the shore ( Automated Guided Vehicle, referred to as AG...

AI Technical Summary

Problems solved by technology

[0018] Most of the existing estimates for the number of container overturns are deduced by formulas, by establishing a relationship model between the number of boxes and the number of layers, and then using the number to perform reverse calculations; although this method is convenient and fast, it does not reflect the It is impossible to compare the advantages and disadvantages of the rules of rummaging, and it is also difficult to simulate the dynamics of rummaging and rummaging.

[0019] 3), details are too idealized

[0020] When dealing with the problem of container storage, most of the time, it is only stored according to the common storage rules. For example, when the boxes arrive, they are stored in separate piles or decibels according to their destinations. Random, separate stack storage, this highly differentiated storage method, is prone to disposable empty stacks or insufficient empty shells in the later stage, and finally the containers without space allocation may be put into other stacks in the form of compression

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