KR-102963774-B1 - SMART LOGISTICS STORAGE SYSTEM

Abstract

The present disclosure relates to a smart logistics storage system that efficiently manages a logistics warehouse by determining the placement location of a product within the logistics warehouse according to the characteristics of the product and the logistics warehouse. According to the present disclosure, in a smart logistics storage system, a logistics management device receives logistics warehouse information regarding the characteristics of a logistics warehouse where a product is to be stored, and in response to the reception of the logistics warehouse information, acquires history information regarding the logistics history of comparison logistics warehouses according to the type of product, and using the logistics warehouse information and the history information, selects a corresponding warehouse corresponding to the logistics warehouse, collects text regarding a worker's reaction to the corresponding warehouse and status information regarding the product storage status within the corresponding warehouse, and can generate warehouse management information regarding the location where the product is to be placed within the logistics warehouse using the logistics warehouse information, the text, and the status information.

Inventors

• 고성희

Assignees

• 주식회사에이치앤씨

Dates

Publication Date

20260512

Application Date

20250102

Claims (4)

1. In the method of operation of a logistics management device, A step of receiving logistics warehouse information regarding the characteristics of the logistics warehouse where the product will be stored; A step of obtaining historical information regarding the logistics history of comparison logistics warehouses according to the type of product in response to the receipt of the above logistics warehouse information; A step of selecting a corresponding warehouse corresponding to the logistics warehouse using the above logistics warehouse information and the above history information; A step of collecting text regarding the worker's reaction to the above-mentioned corresponding warehouse and status information regarding the product storage status within the above-mentioned corresponding warehouse; and The method includes the step of generating warehouse management information regarding the location where the product is to be placed within the logistics warehouse using the logistics warehouse information, the text, and the status information. The step of selecting the above-mentioned corresponding warehouse is, A step of generating a basic matrix corresponding to the logistics warehouse from the above logistics warehouse information; A step of generating feature matrices corresponding to each of the comparison logistics warehouses from the above history information; A step of calculating association levels between the above-mentioned basic matrix and the above-mentioned feature matrix; and The method includes the step of selecting a warehouse corresponding to the largest association level among the above association levels as the corresponding warehouse, The above logistics warehouse information includes product information regarding the types and contents of products, environmental information regarding the environment within the logistics warehouse, and personnel information regarding personnel within the logistics warehouse. The step of generating the above warehouse management information is, A step of dividing the above text into multiple paragraphs; A step of extracting phrases from each of the above multiple paragraphs that indicate the worker's response to the storage of the goods in the corresponding warehouse; A step of determining a main phrase group based on the detection history of the above phrases; A step of generating area adjustment information using the above main phrase group; and The method includes the step of generating warehouse management information using the above logistics warehouse information, the product placement status according to the above status information, and the above area adjustment information. The above association level further includes a step of being calculated based on the following mathematical formula 1; and [Mathematical Formula 1] The above bc x indicates the association level between the elementary matrix and the x-th feature matrix, N1 indicates the number of first parameters, R indicates the number of first parameters for which the elementary matrix value and the feature matrix value are the same, N2 indicates the number of second parameters, c i indicates the weight greater than 0 and less than 1 corresponding to the i-th parameter, T i indicates the matrix value of the i-th parameter within the elementary matrix, and S i indicates the matrix value of the i-th parameter within the x-th feature matrix, and The step of determining a main phrase group based on the detection history of the above phrases; is, The method includes the step of extracting phrases included in the detection history of the above phrases as a main phrase group, wherein the calculated importance is greater than or equal to a preset threshold importance; and wherein the importance is determined based on <Equation 2>. <Mathematical Formula 2> dc x represents the importance of phrase x, M t represents the number of phrases constituting the text, K d represents the number of phrase x detected in the text, M a represents the number of paragraphs in the text, K f represents the number of paragraphs where phrase x is detected, L j represents the number of phrases constituting the i-th paragraph among the paragraphs where phrase x is detected, and P j represents the number of phrase x detected within the i-th paragraph among the paragraphs where phrase x is detected, and The step of generating area adjustment information using the above main phrase group is, Based on the meaning of the phrases within the main phrase group, the phrases within the main phrase group are classified into phrases for adjusting movement paths or phrases for adjusting product placement areas, and then area adjustment information is generated based on the classified phrases. method.
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Description

Smart Logistics Storage System The present disclosure generally relates to a smart logistics storage system, and more specifically, to an apparatus and method for efficiently managing a logistics warehouse by determining the placement location of goods within the logistics warehouse according to the characteristics of the goods and the logistics warehouse. A logistics management system refers to software or a platform used to systematically manage and optimize logistics-related processes. These systems provide various functions necessary for logistics and supply chain management, such as warehousing, inventory, transportation, and order processing. A diverse range of logistics management systems is currently in operation, including WMS (warehouse management system), TMS (transportation management system), and SCM (supply chain management). With the development of industry, the volume of goods distributed is increasing, and consequently, the demand for logistics warehouses that perform the function of storing goods is rising sharply. Companies require logistics warehouses to store products for a certain period when shipping goods for sale, and they either own their own warehouses or lease space from specialized logistics companies. Companies incur losses when logistics warehouses are not utilized properly, such as when errors occur in inventory management or the interior is not maintained in an optimal state. To prevent such losses, companies are continuously developing technologies for the systematic management of goods stored in their warehouses. The aforementioned technology is technical information that the inventor possessed for the derivation of the present invention or acquired during the process of deriving the present invention, and does not necessarily refer to known technology disclosed to the general public prior to the filing of the present invention. The accompanying drawings, included as part of the detailed description to aid in understanding the embodiments, provide various embodiments and explain the technical features of the various embodiments together with the detailed description. FIG. 1 illustrates a smart logistics storage system according to various embodiments of the present disclosure. FIG. 2 illustrates the configuration of a logistics management device in a smart logistics storage system according to various embodiments of the present disclosure. FIG. 3 illustrates a schematic diagram of a process for generating warehouse management information in a smart logistics storage system according to various embodiments of the present disclosure. FIG. 4 illustrates a flowchart regarding the operation method of a smart logistics storage system according to various embodiments of the present disclosure. FIG. 5 illustrates a flowchart regarding the operation method of a logistics management device in a smart logistics storage system according to various embodiments of the present disclosure. The terms used in this disclosure are used merely to describe specific embodiments and are not intended to limit the scope of other embodiments. A singular expression may include a plural expression unless the context clearly indicates otherwise. Terms used herein, including technical or scientific terms, may have the same meaning as generally understood by those skilled in the art described in this disclosure. Terms used in this disclosure that are defined in a general dictionary may be interpreted as having the same or similar meaning as they have in the context of the relevant technology, and are not to be interpreted in an ideal or overly formal sense unless explicitly defined in this disclosure. In some cases, even terms defined in this disclosure are not to be interpreted to exclude the embodiments of this disclosure. In the various embodiments of the present disclosure described below, a hardware-based approach is described as an example. However, since the various embodiments of the present disclosure include techniques using both hardware and software, the various embodiments of the present disclosure do not exclude a software-based approach. The present disclosure relates to a smart logistics storage system. Specifically, the present disclosure describes a technology for efficiently managing a logistics warehouse by determining the placement location of goods within the warehouse based on the characteristics of the goods and the logistics warehouse. Hereinafter, various embodiments are described in detail with reference to the attached drawings so that those skilled in the art can easily implement the present disclosure. However, since the technical concept of the present disclosure can be modified and implemented in various forms, it is not limited to the embodiments described in this specification. In describing the embodiments disclosed in this specification, if it is determined that specifically describing related prior art could obscure the essence of the technical concept of the present