Rapid selection method based on automatic equipment task scheduling

Abstract

The invention provides a rapid selection method based on automatic equipment task scheduling, comprising the following steps: step 1, acquiring position state information of a stocker and a shuttle vehicle in a warehouse, the stocker and the shuttle vehicle having an operation state and an idle state, the operation state needing to acquire a to-be-travelled distance of a current execution task, and the idle state needing to acquire a to-be-travelled distance; the to-be-walked distance in the idle state is 0; 2, according to the position state information, the distance between the starting position of each stacker and the position of the shuttle vehicle and the distance between the starting position of each stacker and the target position of the task are calculated, and if the current shuttle vehicle is in a long roadway, the current shuttle vehicle has two positions, and the distances need to be calculated respectively; and step 3, all stacker and shuttle vehicle calculation combinations in the step 2 are obtained, according to distance comparison, the stacker and the shuttle vehicle which can reach the task target position most recently are selected for task execution, and therefore the purpose of rapidly selecting the shuttle vehicle is achieved.

Description

technical field [0001] The invention relates to a quick selection method based on automatic equipment task scheduling. Background technique [0002] There is a large amount of storage files in the warehouse, and the loading and unloading of files needs to be completed by automation equipment. The operation of loading and unloading involves multiple shuttle cars and stackers, and there are many types of tasks (moving, picking up, releasing, inventory, etc.), automation equipment and Scheduling between devices often has a phenomenon of waiting and queuing. As a result, the devices cannot perform tasks in the most efficient manner, resulting in waste of resources, consuming a large amount of artificial waiting time, and affecting the normal development of services. [0003] At present, the archives industry is developing rapidly, and the development of smart warehouses has become a trend. With the continuous increase of warehouse stocks, the requirements for the speed of wareho...

AI Technical Summary

Problems solved by technology

[0002] There is a large amount of storage files in the warehouse, and the loading and unloading of files needs to be completed by automation equipment. The operation of loading and unloading involves multiple shuttle cars and stackers, and there are many types of tasks (moving, picking up, releasing, inventory, etc.), automation equipment and Scheduling between devices often has the phenomenon of waiting and queuing. As a result, the devices cannot perform tasks in the most efficient way, resulting in waste of resources, consuming a large amount of artificial waiting time, and affecting the normal development of business.

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