A device path management method, system and server for intelligent warehousing

Abstract

The invention discloses a device path management method and system for intelligent warehousing. By loading the route configuration of each device into the HashMap data structure, the devices in the HashMap data structure are traversed according to the information of any receiving port and storage port. Route configuration, obtain all cargo routes connecting the receiving port and storage port as two endpoints, extract the starting point and end point information in the logistics task, select the optimal cargo route from all cargo routes according to the route priority, and press the optimal The equipment route in the cargo route is decomposed, and each logistics action is decomposed into each device on the cargo route, and the equipment task is formed and sent to the corresponding logistics equipment for execution. Through the scheduling management method and system, equipment route configuration is simplified and the workload of equipment route configuration is reduced under the premise of satisfying the WCS system to control logistics equipment.

Description

technical field [0001] The present invention relates to the field of industrial internet of things, in particular to a device path management method and system for intelligent storage. Background technique [0002] With the rapid development of e-commerce and logistics industries, the construction of automated warehouses is also accelerating. The development of the storage system in the automated warehouse is inseparable from the two key factors of logistics equipment and logistics software. Usually, automated warehousing logistics system software consists of two parts: warehouse management system WMS and warehouse equipment control system WCS. Among them, the WCS system is responsible for coordinating all the equipment in the warehouse, dispatching and commanding the equipment to carry goods, especially in the intelligent vertical warehouse, it is necessary to dispatch a large number of logistics equipment such as stacker cranes, RGVs, and conveyors to carry goods in the w...

AI Technical Summary

Problems solved by technology

If there are transfer delivery platforms in the route, assuming that the number of transfer delivery platforms is X, a multiplication factor must be added when calculating the cargo route, that is, 20*X routes need to be configured, which will eventually lead to the workload of equipment route configuration. Too large, the cargo route model is more complicated

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