Dynamic priority scheduling method and device for logistics system, and logistics system

Abstract

The invention discloses a dynamic priority scheduling method and device for a logistics system, and the logistics system. The method includes the steps of receiving material transport information including N warehouse output and input tasks, obtaining the spatial distance Di between a transport device and the start address of the ith task, obtaining the maximum spatial distance Dmax between all regions within the range of the transport device, obtaining the interface equipment material consumption demand degree Ri corresponding to the ith task, obtaining the maximum interface equipment material consumption demand degree Rmax, obtaining the available state E of the transport device, determining the priority Pi of the ith task according to Di, Dmax, Ri, Rmax and E, and controlling the transport device to execute the task with the maximum priority. According to the dynamic priority scheduling method and device and the logistics system, on the premise that the production process requirement is met, scheduling efficiency of the transport device can be improved, continuous production of interface equipment is ensured while logistics efficiency is ensured, the logistics resource, namely, the transport device, can not be wasted, and the unremittance of material transport can be ensured to a larger extent.

Description

technical field [0001] The invention relates to the field of automated logistics, in particular to a method and device for dynamic priority scheduling of a logistics system, and a logistics system. Background technique [0002] Task scheduling is a key process operating in automated logistics systems. The main task of this process is to schedule the control system to trigger the request according to the equipment layer, and follow a certain inbound and outbound policy to schedule the equipment in the equipment layer to perform the inbound and outbound tasks, and to ensure the continuous operation of all interface equipment. [0003] In the existing automated logistics system, the inbound and outbound policies are triggered by the equipment layer, and the equipment is dispatched in time to respond to the inbound and outbound tasks. Due to the lack of flow analysis and demand judgment of interface equipment, as well as analysis and calculation of the current status of equipme...

AI Technical Summary

Problems solved by technology

Due to the lack of flow analysis and demand judgment of interface equipment, as well as analysis and calculation of the current status of equipment at the equipment layer, logistics resources are wasted, and even logistics cannot supply interface equipment in time

It mainly has the following disadvantages: 1) The scheduling control system sends out the storage tasks according to the time sequence triggered by the equipment layer, which is very likely to cause the material shortage or even "cutting out" of the interface equipment; 2) The scheduling control system lacks monitoring of the equipment layer , when the device layer fails, the storage task is still issued, resulting in disordered execution of the device; 3) The scheduling control system cannot dynamically adjust the priority of the device layer device, resulting in the delivery task being unable to be adjusted

When there are many tasks, it is impossible to respond in time to the inbound and outbound tasks that need to be executed first

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