Loading data processing method and device and storage medium

Abstract

The invention discloses a loading data processing method and device and a storage medium. The loading data processing method comprises the steps that to-be-loaded object information, bearing piece information and loading container information are acquired; calling a linear programming model, and determining first stacking data of the objects needing to be assembled and supported based on the first object information and the bearing piece information; calling a space search algorithm, and based on the to-be-loaded object information, the first stacking data and the loading container information, performing simulation stacking processing of the to-be-loaded object on at least one subspace of the current residual space of the target loading container to obtain second stacking data of the to-be-loaded object in the target loading container; and calling a target local search algorithm and a target reinforcement learning algorithm, and performing data optimization on the second stacking data to obtain target stacking data corresponding to the second stacking data. According to the loading data processing method disclosed by the invention, the optimized stacking mode of the to-be-loaded object can be quickly and accurately obtained.

Description

technical field [0001] The present application relates to the field of loading technologies, and in particular, to a loading data processing method, device and storage medium. Background technique [0002] During the transportation of the object to be loaded, the loading rate of the loading container occupies a large proportion of the transportation cost. Therefore, reasonably matching the loading container for the object to be loaded so as to improve the loading rate of the loading container becomes an important means to reduce the transportation cost. However, there are many types of objects to be loaded, different objects to be loaded correspond to various loading rules, and two storage types of carriers (such as pallets) and loading containers of different sizes (such as truck boxes) are included in transportation. These practical operations The rules in will affect the transport load rate of the object to be loaded. [0003] If only relying on manual stowage, it is dif...

AI Technical Summary

Problems solved by technology

However, there are many types of objects to be loaded, and different objects to be loaded correspond to a variety of loading rules, and the transportation includes two storage types: carriers (such as pallets) and loading containers (such as truck boxes) of different sizes and specifications. These practical operations The rules in will affect the transport loading rate of the object to be loaded

[0003] If only relying on manual stowage, it is difficult to quickly obtain a better stowage plan on the whole, and the loading rate of the loading container is related to the manual experience

Therefore, it is necessary to quickly obtain a reasonable loading scheme through an intelligent algorithm. Three-dimensional loading is an NP-hard problem, and the loading scene of the object to be loaded is complex and the calculation complexity is high. The existing loading algorithm often has strong problem dependence. , the generalization performance is poor, or the amount of calculation is too large, and the processing efficiency is low

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