Unmanned intelligent intensive storage managing method and storage system

Abstract

The invention discloses an unmanned intelligent intensive storage managing method and an unmanned intelligent intensive storage system. The unmanned intelligent intensive storage managing method comprises a warehousing method and an IM-warehousing method. The unmanned intelligent intensive storage system comprises a warehouse management system, a warehouse control system, unstacking / stacking robots, track type storage racks, a shuttle robot track, shuttle robots, a wireless data transmission and communication android system and an electrical control system. The track type goods racks are provided with multiple layers. The end portions of the goods racks are provided with goods lifts communicating with all the corresponding goods rack layers. The shuttle robot track is laid between the goods racks and between the goods racks and the goods lifts. The unmanned intelligent intensive storage system can achieve operation manners of stacking warehousing, unstacking IM-warehousing and the like completely through the industrial robots, and achieves the functions of personalizing sorting, goods distributing, part taking and warehouse returning, by means of PLC detection and analysis technologies and upper layer and lower layer changing of the shuttle robots and the goods lifts, flexible warehousing and IM-warehousing processes of goods are achieved, the goods racks are assembled in a modular manner, and multilayer three-dimensional storage can be achieved.

Description

technical field [0001] The invention relates to the technical field of storage management, in particular to an unmanned intelligent intensive storage management method and a storage system. Background technique [0002] With the development of the economy, the market has higher and higher requirements for product production, transportation and storage, and higher efficiency in product logistics. In view of the current product warehousing, especially the intelligent warehousing system, there is still a defect that the product logistics process can only be controlled and managed. The Internet of Things and logistics informatization are still limited to the identification, automatic perception, and automatic positioning of items. In general applications such as , process tracking, and online scheduling, there are problems such as low efficiency of logistics information processing, inaccurate positioning, and insufficient utilization of logistics equipment. For example, in the ...

AI Technical Summary

Problems solved by technology

[0003] However, often there are many kinds of materials in a picking work order, even if there are multi-station picking materials, there must be a situation where the same station picks multiple materials, so the staff or intelligent picking vehicles wait at the same station and their equipment The time to move the material to the picking station will be prolonged, and this way of working will reduce the overall production efficiency

[0004] Traditional warehouses use labor and forklifts to operate on flat ground. Effective space utilization is not realized, the work is messy, and the efficiency of entering and exiting the warehouse is low. The traditional warehouse still has the problem that there is a vehicle walking passage between the roadways, and the turning radius is large. Take up a lot of space

The second-generation single- and double-extension stackers have sky-to-ground rails, but they still have the problems of large space occupation, complex structure, high failure rate, and high annual maintenance costs.

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