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Knowledge graph-based warehouse space allocation method and system

A knowledge map and space allocation technology, applied in logistics, instrumentation, semantic tool creation, etc., can solve problems such as unreasonable warehouse space allocation, achieve reasonable warehouse space matching, and improve storage efficiency

Inactive Publication Date: 2020-03-13
MIAOZHEN INFORMATION TECH CO LTD
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Problems solved by technology

[0004] Embodiments of the present invention provide a warehouse space allocation method and system based on knowledge graphs, to at least solve the problem of unreasonable warehouse space allocation caused by artificially matching goods and warehouse space conditions in the related art

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  • Knowledge graph-based warehouse space allocation method and system
  • Knowledge graph-based warehouse space allocation method and system
  • Knowledge graph-based warehouse space allocation method and system

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Embodiment Construction

[0023] Hereinafter, the present invention will be described in detail with reference to the drawings and examples. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

[0024] In this embodiment, a warehouse space allocation method based on big data and knowledge graph is provided, figure 1 is a flow chart of a method according to an embodiment of the present invention, such as figure 1 As shown, the process includes the following steps:

[0025] Step S102, the knowledge graph platform captures the placement and storage restriction elements of each category of goods, and digitizes the attributes of the goods;

[0026] Step S104, the knowledge graph platform analyzes the attributes of the goods, and forms portraits of goods of various categories based on the captured placement and storage restriction elements;

[0027] In step S106, the space optimization system a...

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Abstract

The invention provides a warehouse space allocation method and system based on a knowledge graph, and the method comprises the steps that a knowledge graph platform captures the placement and storagelimiting elements of various types of goods, and carries out the datamation of the attributes of the goods; the knowledge graph platform analyzes the attributes of the goods and forms goods portraitsof all categories based on the grabbed placement storage limiting elements; and a space optimization system performs warehouse storage space allocation on the warehoused goods according to the warehouse-in order prediction and the goods portrait. According to the method and the system, the attributes of the goods are analyzed by utilizing the knowledge graph platform to generate the goods portraits of various categories, so that the warehouse space matching of the warehoused goods is more reasonable, and the storage efficiency is improved.

Description

technical field [0001] The present invention relates to the field of warehouse management, in particular to a warehouse space allocation method and system based on knowledge graphs. Background technique [0002] With the rapid development of the logistics industry, warehousing technology has also been upgraded from flat storage to automated three-dimensional warehouse storage. However, space allocation, cargo placement and placement specifications still rely on experienced warehouse managers for layout. However, the properties of goods and storage constraints are complex, such as packaging strength, time of out / in storage, picking frequency, etc. Relying on the experience of managers makes planning artificial, poor in flexibility, difficult to inherit experience, and high inventory management costs. In addition, the efficiency of manual layout is low, and the lack of overall awareness is prone to misjudgment. [0003] At present, warehouse management still mostly relies on ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/08G06F16/36
CPCG06Q10/087G06F16/367
Inventor 李芳媛汪建新吴明辉
Owner MIAOZHEN INFORMATION TECH CO LTD
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