Elevator scheduling method and device, storage medium and electronic equipment

Abstract

The invention relates to the field of logistics storage, in particular to an elevator scheduling method and device, a storage medium and electronic equipment. The elevator scheduling method comprises the steps of selecting a preset number of tasks as to-be-planned tasks based on priorities of to-be-executed tasks of an elevator; wherein the elevator is provided with a plurality of carrying stations; acquiring an initial position of the elevator and starting points and terminal points corresponding to the to-be-planned tasks respectively; defining a state function and an operation cost function of the elevator according to the loading station of the elevator, so as to obtain a state transition equation according to the state function and the operation cost function; and performing iterative updating according to the state transition equation based on the initial position, the starting point and the ending point to obtain a driving path of the elevator. According to the elevator scheduling method provided by the invention, the elevator scheduling path optimization efficiency of multiple loading stations can be improved.

Description

technical field [0001] The present disclosure relates to the field of logistics and warehousing, in particular to a hoist scheduling method, a hoist scheduling device, a storage medium and electronic equipment. Background technique [0002] Elevator (Well Elevating Conveyor / Elevator) is a large-scale mechanical equipment that is transported by changing potential energy. It is usually used as a cargo conveying device in a multi-shuttle system. It can carry a platform or semi-enclosed platform that lifts cargo boxes on the vertical upper and lower channels. Pick and place goods at different positions to realize the in-out and out-of-warehouse operations of containers. [0003] The general hoist scheduling method takes the number of available workstations as the upper limit, finds nearby tasks and executes them. This method of selecting tasks by the principle of proximity only achieves the local optimum of the hoist task scheduling, and it is difficult to achieve the global op...

AI Technical Summary

Problems solved by technology

This method of selecting tasks based on the principle of proximity only achieves the local optimum of the elevator task scheduling, and it is difficult to achieve the global optimum.

In addition, with the increase in the number of available stations of the elevator, the lack of precise path planning between multiple simultaneous tasks often causes the elevator to run empty, reducing the efficiency of the elevator and the utilization of multi-layer stations

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