Logistics warehouse management system based on big data

Abstract

The invention discloses a logistics warehouse management system based on big data, and the system comprises a frequency collection module, an amplitude collection module, a peak collection module, a data volume module, a database, a first controller, a second controller, a delay module, and a warehouse allocation module. The data volume module collects a data volume signal A of a to-be-allocated logistics order number in the logistics warehouse management system and sends the data volume signal A to the first controller; the peak collection module acquires a peak value signal B of the data volume signal and sends the peak value signal B to the first controller; the reliability of the data volume signal is improved by comparing a peak signal of the data volume signal with a rated peak value of the data volume module; meanwhile, the state of the allocation signal in the warehouse allocation module is determined by judging the amplitude signal and the allocation signal rated response frequency of the allocation signal in the warehouse allocation module, and then the second controller adjusts the storage allocation rate by controlling the time delay module and the warehouse allocation module, so that the logistics storage is prevented from being exploded.

Description

technical field [0001] The invention relates to the technical field of logistics warehouse management and management, in particular to a logistics warehouse management system based on big data. Background technique [0002] At present, with the rapid development of the Internet, more and more online shopping such as Taobao, and the rapid development of domestic parcel express business, the high-speed operation of logistics is inseparable from a complete warehouse management system, which plays an important role in improving logistics efficiency. With the continuous upgrading and optimization of the warehouse management system, especially the combination of big data and logistics warehouse management system, the pressure on the logistics warehouse management system has been greatly relieved. In the actual operation process, when important festivals like Double 11 come, logistics orders explode. , especially in second-tier or third-tier urban areas or even counties, the big da...

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Problems solved by technology

[0002] At present, with the rapid development of the Internet, more and more online shopping such as Taobao, and the rapid development of domestic parcel express business, the high-speed operation of logistics is inseparable from a complete warehouse management system, which plays an important role in improving logistics efficiency. With the continuous upgrading and optimization of the warehouse management system, especially the combination of big data and logistics warehouse management system, the pressure on the logistics warehouse management system has been greatly relieved. In the actual operation process, when important festivals like Double 11 come, logistics orders explode. , especially in second-tier or third-tier local urban areas or even counties, the big data logistics warehousing management system itself has limited storage allocation. At this time, the logistics order data information exceeds the upper limit of storage allocation of the big data logistics warehousing management system. The warehousing allocation signal will respond repeatedly, which will lead to the explosion of logistics warehousing, and even cause heavy losses in serious cases.

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