KR102514928B1 - System for providing blockchain based fresh inventory management service - Google Patents

Abstract

A blockchain-based food inventory management service provision system is provided. The blockchain-based food inventory management service provision system comprises: a logistics management terminal that manages the status of food inventory received, shipped, and loaded in a warehouse for food distribution by adding an expiration date, and sets up food with the expiration date approaching to be shipped first; and an inventory management service provision server including a warehouse register unit that receives and stores the size of a warehouse and the XYZ coordinates of each shelf cell from the logistics management terminal, a management unit that reads the names and expiration dates of foods entering the warehouse and maps and stores a unique identification code of the cell where the foods are stored, an expiry-based shipping unit that sorts the foods in the order in which the expiration date of the foods for which the shipping event is printed is approaching when a shipping event is output from the logistics management terminal, and then provides a unique identification code of the cell where the foods sorted at the top is located along with the XYZ coordinates for shipping, an inventory information unit that informs the logistics management terminal of the status of food in stock, excluding shipped food, and a blockchain unit that stores warehouse history data, including warehouse receipt, shipment, and inventory, on a blockchain. The present invention eliminates the possibility of forgery and alteration by storing warehouse history data in the blockchain as IPFS.

Description

Blockchain-based food inventory management service provision system {SYSTEM FOR PROVIDING BLOCKCHAIN BASED FRESH INVENTORY MANAGEMENT SERVICE}

The present invention relates to a system for providing a blockchain-based food inventory management service, and provides a system that can identify food warehousing, shipping, and inventory, store warehouse history data in a blockchain, and guide expiration dates and consumption dates. do.

The concept of Cold Chain varies from country to country and institution to country, but in general, logistics management that extends the value of a product by preserving freshness by continuously maintaining appropriate management conditions such as temperature and humidity required for each product throughout the supply chain. means system. Product quality and safety through appropriate temperature control for each item throughout the entire distribution process from production, storage, transportation, sale, delivery, and consumption of temperature-sensitive products such as agricultural, livestock, and marine products, foodstuffs, flowers, medicines, and processed foods Most foods, such as agricultural products, fishery products, livestock products, and processed foods, are temperature-sensitive products that affect quality if inappropriate temperatures are maintained for cold chain objects. are distinguishing Due to the nature of food that is directly related to health, health and hygiene problems may occur if the quality is damaged due to deviating from proper management conditions.

At this time, a configuration was researched and developed to prevent the occurrence of health and hygiene problems by preventing counterfeiting and falsification or notifying the expiration date by storing records of warehousing, shipping, and storage in the blockchain to maintain the cold chain. In Korean Patent Publication No. 2021-0112710 (published on September 15, 2021) and Korean Patent Publication No. 2022-0116724 (published on August 23, 2022), warehouses including warehouse history, warehouse history, and inventory history When ordering and paying for a product at the user terminal to manage history, store warehouse history as a block chain, analyze AI-based warehouse status, and notify expiration date, the storage method and expiration date of the product are included. Configurations for providing management information are disclosed.

However, in the case of the former, in order to create the warehousing and warehousing history that occurs from time to time and store it in the blockchain, the gas fee that is larger than the belly button leads to a rapid rise in management costs. Even in the latter case, only the configuration for notifying the user of the expiration date is initiated, not the configuration for promptly informing the user that the expiration date is approaching. Food has a significantly shorter storage and distribution period than general products, and requires continuous temperature and humidity control to maintain food quality for a long time in the distribution process. At this stage, it is accompanied by comprehensive logistics management at the system level to maintain an appropriate temperature suitable for the characteristics of food, observe expiration dates, and prevent contamination and spoilage. Therefore, research and development of a platform that allows managers to grasp the current status of inventory and expiration date of goods in the warehouse, while providing an expiration date notification function to preferentially process foods that are nearing or past their expiration date. It is required.

An embodiment of the present invention enables a logistics management terminal to grasp the status of inventory stored in, out of, and loaded in a warehouse by adding an expiration date, and provides a function to notify the user terminal of the expiration date of food, so that the expiration date is imminent. Priority is given to overdue or overdue food, and by storing warehouse history data in the blockchain as IPFS (InterPlanetary File System), the possibility of forgery and falsification is reduced while reducing gas consumption. By using deep learning, it is possible to provide a blockchain-based food inventory management service providing system that can automatically notify pre-distribution and pre-consumption while minimizing manager and user intervention. However, the technical problem to be achieved by the present embodiment is not limited to the technical problem as described above, and other technical problems may exist.

As a technical means for achieving the above-described technical problem, an embodiment of the present invention manages the status of food, which is stock in, out of, and loaded in a warehouse for food distribution, by adding an expiration date, and the expiration date is approaching. Logistics management terminal that sets the food to be shipped first, and a warehouse register that receives and stores the size of the warehouse and the XYZ coordinates of each shelf cell from the distribution management terminal, reads the name and expiration date of food received in the warehouse, and food When a release event is output from the management unit and logistics management terminal that map and store the unique identification code of the cell to be stored, the food is sorted in the order of expiration date of the food for which the release event is output, and then the food is sorted at the top. A first-choice department that provides the unique identification code of the cell where it is located along with XYZ coordinates so that it is shipped, an inventory guidance department that guides the status of food, which is inventory excluding shipped food, to the logistics management terminal, and warehouse storage, shipping, and inventory It includes an inventory management service providing server including a block chain unit that stores warehouse history data including the storage history data in the block chain.

According to any one of the above-described problem solving means of the present invention, the logistics management terminal can grasp the status of inventory stored in, shipped from, and loaded in the warehouse by adding an expiration date, and a function to notify the user terminal of the expiration date of food By providing food that is near or past its expiration date, it can be processed with priority, and by storing warehouse history data in the block chain as IPFS (InterPlanetary File System), gas consumption is reduced while the possibility of forgery is zero. When recognizing, it can be informed so that it can be automatically pre-distributed and pre-consumed while minimizing the intervention of administrators and users by using image-based deep learning.

1 is a diagram for explaining a blockchain-based food inventory management service providing system according to an embodiment of the present invention.
FIG. 2 is a block diagram illustrating an inventory management service providing server included in the system of FIG. 1 .
3 and 4 are diagrams for explaining an embodiment in which a blockchain-based food inventory management service is implemented according to an embodiment of the present invention.
5 is an operational flowchart illustrating a method of providing a blockchain-based food inventory management service according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail so that those skilled in the art can easily practice the present invention with reference to the accompanying drawings. However, the present invention may be embodied in many different forms and is not limited to the embodiments described herein. And in order to clearly explain the present invention in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification.

Throughout the specification, when a part is said to be "connected" to another part, this includes not only the case where it is "directly connected" but also the case where it is "electrically connected" with another element interposed therebetween. . In addition, when a part "includes" a certain component, this means that it may further include other components, not excluding other components, unless otherwise stated, and one or more other characteristics. However, it should be understood that it does not preclude the possibility of existence or addition of numbers, steps, operations, components, parts, or combinations thereof.

As used throughout the specification, the terms "about", "substantially", etc., are used at or approximating that value when manufacturing and material tolerances inherent in the stated meaning are given, and do not convey an understanding of the present invention. Accurate or absolute figures are used to help prevent exploitation by unscrupulous infringers of the disclosed disclosure. The term "step of (doing)" or "step of" as used throughout the specification of the present invention does not mean "step for".

In this specification, a "unit" includes a unit realized by hardware, a unit realized by software, and a unit realized using both. Further, one unit may be realized using two or more hardware, and two or more units may be realized by one hardware. On the other hand, '~ unit' is not limited to software or hardware, and '~ unit' may be configured to be in an addressable storage medium or configured to reproduce one or more processors. Thus, as an example, '~unit' refers to components such as software components, object-oriented software components, class components, and task components, processes, functions, properties, and procedures. , subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays and variables. Functions provided within components and '~units' may be combined into smaller numbers of components and '~units' or further separated into additional components and '~units'. In addition, components and '~units' may be implemented to play one or more CPUs in a device or a secure multimedia card.

In this specification, some of the operations or functions described as being performed by a terminal, device, or device may be performed instead by a server connected to the terminal, device, or device. Likewise, some of the operations or functions described as being performed by the server may also be performed by a terminal, apparatus, or device connected to the server.

In this specification, some of the operations or functions described as mapping or matching with the terminal mean mapping or matching the terminal's unique number or personal identification information, which is the terminal's identifying data. can be interpreted as

Hereinafter, the present invention will be described in detail with reference to the accompanying drawings.

1 is a diagram for explaining a blockchain-based food inventory management service providing system according to an embodiment of the present invention. Referring to FIG. 1 , a blockchain-based food inventory management service providing system 1 may include at least one user terminal 100, an inventory management service providing server 300, and at least one logistics management terminal 400. can However, since the blockchain-based food inventory management service providing system 1 of FIG. 1 is only one embodiment of the present invention, the present invention is not limitedly interpreted through FIG. 1 .

At this time, each component of FIG. 1 is generally connected through a network (Network, 200). For example, as shown in FIG. 1 , at least one user terminal 100 may be connected to the inventory management service providing server 300 through the network 200 . Also, the inventory management service providing server 300 may be connected to at least one user terminal 100 and at least one logistics management terminal 400 through the network 200 . In addition, at least one logistics management terminal 400 may be connected to the inventory management service providing server 300 through the network 200 .

Here, the network refers to a connection structure capable of exchanging information between nodes such as a plurality of terminals and servers, and examples of such networks include a local area network (LAN) and a wide area network (WAN: Wide Area Network), the Internet (WWW: World Wide Web), wired and wireless data communications networks, telephone networks, and wired and wireless television communications networks. Examples of wireless data communication networks include 3G, 4G, 5G, 3rd Generation Partnership Project (3GPP), 5th Generation Partnership Project (5GPP), Long Term Evolution (LTE), World Interoperability for Microwave Access (WIMAX), Wi-Fi , Internet (Internet), LAN (Local Area Network), Wireless LAN (Wireless Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network), RF (Radio Frequency), Bluetooth (Bluetooth) network, NFC ( A Near-Field Communication (Near-Field Communication) network, a satellite broadcasting network, an analog broadcasting network, a Digital Multimedia Broadcasting (DMB) network, etc. are included, but not limited thereto.

In the following, the term at least one is defined as a term including singular and plural, and even if at least one term does not exist, each component may exist in singular or plural, and may mean singular or plural. It will be self-evident. In addition, the singular or plural number of each component may be changed according to embodiments.

At least one user terminal 100 arranges and guides food in order of expiration date using a web page, app page, program, or application related to a blockchain-based food inventory management service, and allows food to be consumed in order of expiration date. It may be a user's terminal that extracts and outputs the recipe, which is the material.

Here, at least one user terminal 100 may be implemented as a computer capable of accessing a remote server or terminal through a network. Here, the computer may include, for example, a laptop, a desktop, a laptop, and the like equipped with a navigation system and a web browser. In this case, at least one user terminal 100 may be implemented as a terminal capable of accessing a remote server or terminal through a network. At least one user terminal 100 is, for example, a wireless communication device that ensures portability and mobility, navigation, PCS (Personal Communication System), GSM (Global System for Mobile communications), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication)-2000, CDMA (Code Division Multiple Access)-2000, W-CDMA (W-Code Division Multiple Access), Wibro (Wireless Broadband Internet ) may include all types of handheld-based wireless communication devices such as terminals, smartphones, smart pads, tablet PCs, and the like.

The inventory management service providing server 300 may be a server that provides a blockchain-based food inventory management service web page, app page, program or application. In addition, the inventory management service providing server 300 may be a server that registers the warehouse by receiving the size of the warehouse, the cells of each shelf, and the XYZ coordinates of each cell from the logistics management terminal 400 . In addition, the inventory management service providing server 300 may be a server that manages food located in each cell by assigning a unique identification code to each XYZ coordinate of each cell. In addition, the inventory management service providing server 300 may be a server that stores the expiration date of each food together and controls the food to be released in order of expiration date. In addition, when food is purchased from the user terminal 100, the inventory management service providing server 300 arranges foods in the order of their expiration date, guides the expiration date, and selects the food whose expiration date is approaching as an ingredient. It may be a server that extracts a recipe and provides it to the user terminal 100 .

Here, the inventory management service providing server 300 may be implemented as a computer capable of accessing a remote server or terminal through a network. Here, the computer may include, for example, a laptop, a desktop, a laptop, and the like equipped with a navigation system and a web browser.

At least one logistics management terminal 400 may be a terminal of a warehouse and logistics manager using a web page, app page, program, or application related to a blockchain-based food inventory management service. The logistics management terminal 400 may be a terminal using a warehouse management system (WMS) that registers a warehouse in the inventory management service providing server 300 and outputs information when each food item is received, shipped, and loaded.

Here, at least one logistics management terminal 400 may be implemented as a computer capable of accessing a remote server or terminal through a network. Here, the computer may include, for example, a laptop, a desktop, a laptop, and the like equipped with a navigation system and a web browser. In this case, at least one logistics management terminal 400 may be implemented as a terminal capable of accessing a remote server or terminal through a network. At least one logistics management terminal 400 is, for example, a wireless communication device that ensures portability and mobility, navigation, PCS (Personal Communication System), GSM (Global System for Mobile communications), PDC (Personal Digital Cellular) , PHS(Personal Handyphone System), PDA(Personal Digital Assistant), IMT(International Mobile Telecommunication)-2000, CDMA(Code Division Multiple Access)-2000, W-CDMA(W-Code Division Multiple Access), Wibro(Wireless Broadband) It may include all kinds of handheld-based wireless communication devices such as Internet) terminals, smartphones, smart pads, tablet PCs, and the like.

2 is a block diagram illustrating an inventory management service providing server included in the system of FIG. 1, and FIGS. 3 and 4 are an implementation of a blockchain-based food inventory management service according to an embodiment of the present invention. It is a drawing for explaining an example.

Referring to FIG. 2, the inventory management service providing server 300 includes a warehouse registration unit 310, a management unit 320, an early election unit 330, an inventory information unit 340, a blockchain unit 350, and consumption promotion. unit 360, distributed storage unit 370, constant temperature maintenance unit 380, robot picking unit 390, IoT management unit 391, recipe recommendation unit 393, promotion promotion unit 395, 3PL unit 397 ) may be included.

The inventory management service providing server 300 according to an embodiment of the present invention or another server (not shown) operating in conjunction with at least one user terminal 100 and at least one logistics management terminal 400, based on a blockchain In the case of transmitting a food inventory management service application, program, app page, web page, etc., at least one user terminal 100 and at least one logistics management terminal 400, a blockchain-based food inventory management service application, program, You can install or open app pages, web pages, etc. In addition, the service program may be driven in at least one user terminal 100 and at least one logistics management terminal 400 by using a script executed in a web browser. Here, the web browser is a program that allows users to use the web (WWW: World Wide Web) service, and means a program that receives and displays hypertext described in HTML (Hyper Text Mark-up Language). For example, Netscape , Explorer, Chrome, and the like. In addition, an application means an application on a terminal, and includes, for example, an app running on a mobile terminal (smart phone).

Referring to FIG. 2 , the warehouse registration unit 310 may receive and store the size of the warehouse and the XYZ coordinates of each shelf cell from the logistics management terminal 400 . At this time, the arrangement position of each food can be said to be the most important factor in determining the efficiency during order picking. This is because the movement of order picking equipment can be minimized depending on the loading position, and thus cost reduction and work efficiency improvement can be expected. However, in determining the loading position of food, the reality is that it relies on the operator's intuition and experience rather than systematic and analytical techniques. Therefore, after receiving and storing the XYZ coordinates of each cell, the warehouse registration unit 310 is a logistics management terminal In (400), it is possible to guide and guide the loading position of each food.

<FP-Growth Algorithm>

The FP (Frequent Patterns Growth)-Growth algorithm is an algorithm that compensates for the shortcomings of the Apriori algorithm, which requires generating candidate frequent items and inspecting individual transactions in the database one by one. It is an approach that innovatively reduces the algorithm's execution time and memory usage. The FP-Growth algorithm is an approach that uses the DivideConquer technique. First, a database with frequent items is compressed into a frequent pattern tree (FP Tree), and then the frequent pattern tree divides the compressed database into conditional database sets. In connection with frequent items, each database is individually configured.

The frequent pattern tree is created according to the following procedure. First, create the root of the tree to store null values and retrieve individual transactions from the database. Items of each transaction are sorted in descending order based on support, and one branch is created for each transaction. In general, when adding a branch for one transaction, the number of each node belonging to a common prefix is increased by 1, and nodes are created and connected for items appearing after the prefix. For efficient tree search, after constructing an item header table, each item is connected to the corresponding node in the tree through the connection of node links. The procedure of frequent pattern tree search is as follows.

First, starting with a frequent pattern of length 1, a conditional pattern base is created, a conditional frequent pattern tree is created, and then the tree is searched recursively. By repeating this recursive method, the prefix is increased to find a pattern. The frequent pattern tree algorithm searches for short frequent patterns recursively in a smaller conditional database for a long frequent pattern discovery problem, and then converts the problem to join the corresponding suffixes. This method significantly reduces search costs by using the least frequent entry as the suffix, which provides a good selection.

Using this method, the layout arrangement designed by the workers' empirical intuition is divided into grades through the analysis of the release frequency of each food item, and the association analysis technique is used to focus on item groups with high-grade items and strong association rules. By relocating them around the warehouse, it is possible to increase the efficiency of the order picking process. In addition to robot picking, which will be described later, even if a person directly picks, the efficiency can be increased by reducing the moving distance of the forklift and the movement line. It can also solve the problem that delays in loading and unloading lead to delivery delays due to inefficiency in order picking. In this way, based on the order details data, it is possible to redetermine the loading position of food and to provide a layout consulting service. If this method is not used or the layout is maintained as it is, the warehouse registration unit 310 receives and stores the layout as it is from the logistics management terminal 400, which is then used to arrange and manage each food product.

<Rearrange layout>

Based on the shipping details of the logistics management terminal 400, shipping frequency analysis for each food product may be performed. After analyzing the frequency of shipment by item, it is divided into N stages in the order of highest frequency of shipment. Groups that do not significantly affect the movement distance of forklifts or robots can be excluded. When the first and second grade foods with the highest delivery frequency are widely scattered rather than near the warehouse, the movement of a forklift truck, a robot, or a person may be long. Therefore, pre-processing is performed after data is collected. In order to perform correlation analysis, it is only necessary to determine whether food is shipped out, not the number of products shipped out. can be done

An open source data mining tool can be used to identify release patterns for each food product, and the data to be used for the correlation analysis model can be the release history in terms of the number of transactions. At this time, after setting the minimum support of the above-described FP-Growth algorithm and setting the minimum reliability, as a result of performing correlation analysis, if the lift is greater than or less than 1, it means that it is superior to random chance. . Support is used as a criterion when finding good rules or reducing unnecessary calculations. Confidence is a conditional probability concept, meaning that the higher the confidence, the higher the possibility of a useful rule. The reason why these three scales are important is because a large number of association rules can appear when the association rules are analyzed, so the value of each one cannot be evaluated. It becomes possible to extract high-ranking foods with high aggregation.

Based on the results of the correlation analysis, groups with a high frequency of shipment and frequent itemsets can be grouped together and rearranged in a clockwise direction as close as possible to the warehouse, and a layout model can be presented. At this time, before presenting the layout, simulation can be performed first and then verification can be performed, and the simulation method can be performed using the Manhattan distance measurement method on Excel. The Manhattan distance measurement method is the length of the shortest distance between two points and is suitable for evaluating a layout with a lattice-like moving structure, such as a rack in a distribution center. After relocating the layout, the moving distance of the forklift can be measured based on the round-trip distance for order picking, and the reduction rate can be measured based on the result of simulating the round-trip distance during order picking once for each grade, and this can be reported to the logistics manager together. can present

The management unit 320 may read the name and expiration date of the food stored in the warehouse, map and store the unique identification code of the cell in which the food is stored. When the expiration date is written together on the box containing each food, it leads as the expiration date. If the box containing each food does not have an expiration date, the barcode and expiration date of each box can be downloaded and stored in an Excel format from the manufacturer. At this time, a cell means a unit space where each food is stored, and there must be a unique identification code that can distinguish each cell so that a robot or person can figure out from which cell to bring it when order picking. Codes can be assigned and saved.

At this time, a LiDAR-based smart logistics robot may be further provided. In the case of a picking robot described later, it is an arm that can move vertically and horizontally between the cells of a shelf along a guide, whereas a smart logistics robot is an autonomous mobile robot that can move through the aisle of each shelf by itself. can do. A shared folder that C# programs can access by collecting information on the surrounding environment using LiDAR sensors and mapping the internal environment based on the collected information using Cartographer, a ROS-based Simultaneous Localization and Mapping (SLAM) algorithm provided by Google. can be sent to Using lidar sensors, smart logistics robots map the environment inside the warehouse. A C# program is used to designate the departure and arrival locations, and the optimal route is created through the Dijkstra algorithm. After that, the operation command is given to the main board mounted on the smart logistics robot using wireless communication. Based on the received command, the main board issues commands to the motor driver and actuator motor controller, and by executing them, the smart logistics robot moves or actuators rise and fall.

When a shipping event is output from the logistics management terminal 400, the first selection unit 330 sorts the food in the order of the expiration date of the food for which the shipping event is output (First Expiration), The unique identification code of the cell in which the food is arranged on the top is provided along with the XYZ coordinates so that it is first out. The logistics management terminal 400 manages the current status of food, which is stocked, shipped, and loaded in the warehouse for food distribution, by adding an expiration date, and may set the food to be shipped from the food with the expiration date approaching. At this time, if the setting is made only once in the logistics management terminal 400 or if RPA (Robotic Process Automation) is applied after setting the default in the platform of the present invention, even if the logistics manager does not pay attention, It can also be arranged so that the expiration date is sorted in the order of the earliest using a robot arm. For example, in the platform of the present invention, the location of each cell, the barcode of the box of food and the expiration date are mapped and stored, such as placing the items that came first in the convenience store to be first-in-first-out, and placing the ones that did not come in the back. So, if the order is sorted using RPA, and the RPA gives a direct command to the robot arm and informs in what order it should be placed, the robot arm can be placed in this order. Accordingly, whether a person picks or a robot arm picks, picking and loading into a vehicle can be performed in order of expiration date.

The stock information unit 340 may guide the current status of foods that are in stock, excluding shipped foods, to the logistics management terminal 400 . If the inventory in the warehouse before the platform of the present invention is applied, use a drone, or if it needs to be relocated according to the layout described above, use an autonomous guided vehicle (AGV) and a stacker crane After relocation, inventory can be identified. The Rover Picker is equipment developed based on these AGVs. It is also called a mini-load AGV, and it is a mobile equipment rather than a fixed equipment. In addition, in the stacker crane area, it can be equipped to store food after binding it using a strapping machine before storing it in the stacker crane to prevent overturning of food. It is also possible to provide a real-time control platform that tracks the location of all foodstuffs loaded in the warehouse and visualizes inventory in real time, and it can be built based on web and application to increase accessibility. In addition, real-time logistics information can be provided as text, graphs, and even infographics so that logistics managers can intuitively grasp it.

In a wide range of warehouses composed of wireless communication-based equipment by convergence of ICBM (IoT, Cloud Computing, Big Data, Mobile) technology, multiple equipment must be connected and communicate, and an environment capable of real-time monitoring and control must be prepared. The environment for smart factories and warehouses uses IoT networks through WiFi APs (Access Points), and remote monitoring using long-distance data can be implemented through wireless sensor networks. 5G can define its core features as enhanced mobile broadband (eMBB), ultra reliable & low latency communications (uRLLC), and massive machine type communications (mMTC). Therefore, 5G enables real-time communication and control of ultra-high-capacity realistic data, two-way real-time communication, augmented/virtual reality, and various sensors and devices. In order to build a 5G-based network for smart warehouses, the 5G transmission network should be considered to accommodate eMBB, uRLLC, and mMTC-specific services and various services to be released. Therefore, the initial commercialized 5G service introduces 5G base station equipment (New Radio, NR) in the 4G (LTE) network to satisfy the eMBB service. Afterwards, 5G coverage can be gradually expanded and 5G Core can be introduced to provide 5G-specific services (uRLLC, Network Slicing, Multi-access Edge Computing (MEC), etc.).

The block chain unit 350 may store warehouse history data including stock in, out of, and inventory in the block chain.

When food is photographed in the user terminal 100, the consumption promotion unit 360 identifies the food corresponding to the subject in the photographed screen through image-based deep learning, extracts the expiration date of the food, and uses the user terminal 100 to ) can guide you by sorting in the order of approaching expiration date. The user terminal 100 purchases food and stores it in a refrigerator, and when the expiration date of food approaches, it may guide consumption by arranging the foods in order of expiration date.

The distributed storage unit 370 may store warehouse history data in an InterPlanetary File System (IPFS). At this time, if each warehouse history data itself is continuously uploaded in real time, it costs a lot of GasFee, so contents such as files are stored in IPFS (InterPlanetary File System), and only data values are created as blocks, connected to and stored in the blockchain. way you can manage it.

The constant temperature maintenance unit 380 may store the temperature management history of food stored in the warehouse to correspond to the unique identification code of the food. At this time, in order to measure the temperature management history, the IoT management unit 391, which will be described later, also manages the temperature and humidity at each node using the IoT device, but the most important thing is to prevent the low-temperature refrigerator or freezer from malfunctioning. To this end, in addition to the temperature and humidity, a carbon dioxide sensor and a vibration sensor for measuring the vibration of the condenser are added to the IoT management unit 391 to be described later to collect in real time and compare the data collected from the local Edge server to immediately determine whether it is normal or abnormal. there is. At this time, the used learned model can be used by downloading the learned model to the local Edge server based on the data collected from the cloud server. Collected data is continuous data measured in unit time units. These time-series data are characterized by periodic, repetitive, and trending trends. Therefore, when analyzing a periodic pattern, a pattern that is different from the normal pattern is detected, and it is possible to predict malfunction or breakdown.

<Deep learning-based anomaly detection>

After transmitting the data collected from the IoT sensor to the cloud server, the cloud server obtains the threshold range of the artificial intelligence-based abnormal signal, downloads it from the local server, and applies the threshold value when collecting data in real time to detect abnormalities early. can be grasped in

<LSTM Algorithm>

LSTM is a type of RNN (Recurrent Neural Network) to solve the problem of loss of past information in RNN. Even if you lose, you do not lose any information from the past. Therefore, since it is an artificial neural network suitable for processing time-series data, it is suitable for anomaly detection using vibration data in a cold storage. The vibration data to be used for learning is time-series data that is continuously received and stored. The failure of the cold storage fan motor does not occur instantaneously, but causes accumulated damage over a long period of time, so the time flow of data must be considered. When learning, the algorithm compares the characteristics of the data to find patterns in normal data. If the differences in the characteristics of the data are large, learning becomes difficult. To prevent this, the characteristics of the data can be normalized so that the scale of the same degree is reflected, and Z-score normalization can be used. The model can be trained using the normal training data. If the verified loss value does not decrease more than 5 times, learning is terminated. When learning is finished, you can visualize and check the results.

The robot picking unit 390 is a picking robot that moves up, down, left and right along the rails provided between the cells of the shelf. An order picking process may be performed to pick and place food by moving to the XYZ coordinates of the cell. Recently, the order picking process in a warehouse is a process of collecting ordered items from warehouse inventory and shipping them. We talk about the entire process including picking, organizing, packing, sorting by delivery area, loading and unloading and order processing documents according to the order. do. Robotic picking is a series of technologies that mount grippers or suction tools on end-effector mounts such as vertical articulated robots or parallel robots, and use visual sensors to determine the location of objects to pick them up and place them in a specific location. You could say it's technology. In general robotic picking technology, when a predetermined object is placed in a predetermined position and direction, the robot grasps the object through robot teaching or control. way. At this time, with the introduction of deep learning-based artificial intelligence technology, a method for gripping mixed or unseen atypical objects that general robots could not perform has been added.

The IoT management unit 391 may collect the temperature and humidity of at least one cell of the shelf as at least one Internet of Things (IoT) device and then accumulate the temperature as a temperature management history. This temperature management history can be visualized and provided as a graph when a barcode is scanned when it is displayed in a store or delivered to a user after being shipped.

The recipe recommendation unit 393 sorts foods in the order of approaching consumption dates, extracts at least one recipe in which the sorted food is an ingredient, and considers the user's preference of the user terminal 100 among the at least one recipe. After filtering the recipe, the recipe may be recommended to the user terminal 100 . Most recipes are in the form of ingredients mapped on a menu, but in one embodiment of the present invention, since the purpose is to exhaust the ingredients, a recipe whose expiration date is the first as the main ingredient or sub ingredient can be recommended. For example, assume that radish, shiitake mushroom, and fish cake exist in the user's refrigerator in order of expiration date. At this time, it may be recommended to boil fish cake soup using radish, shiitake mushrooms, and fish cake. At this time, the menu should consider the user's taste or season. Recommending fish cake soup on a cold day such as autumn or winter may be more satisfying than recommending fish cake soup in midsummer, so the user's taste and season may be considered more. .

Promotion recommendation unit 395, when the expiration date of the food is imminent, may guide to proceed with the promotion of the expiration date imminent food. If the food is not owned by the logistics management terminal 400 but exists separately from the shipper, a promotion for food near expiration date may be proposed to the shipper terminal (not shown). If it does not sell, the shipper will have to bear the cost of disposal. The 3PL (Third Party Logistics) unit 397 may guide the warehousing, shipping, and distribution steps to the shipper terminal (not shown) of the shipper when there is a shipper who has requested warehousing, shipping, and distribution of food.

Hereinafter, an operation process according to the configuration of the inventory management service providing server of FIG. 2 described above will be described in detail with reference to FIGS. 3 and 4 as examples. However, it will be apparent that the embodiment is only any one of various embodiments of the present invention, and is not limited thereto.

Referring to FIG. 3, (a) the inventory management service providing server 300 receives warehouse registration from the logistics management terminal 400, and maps and stores food, warehousing, shipping, inventory, unique cell identification codes, and XYZ coordinates. there is. And, (b) the inventory management service providing server 300 allows the logistics management terminal 400 to output the real-time increase or decrease for the stock, shipment, and leftover food, and reads the expiration date as shown in (c). Therefore, the expiry date can be set to be shipped out in the fastest order, and as shown in (d), WMS (Warehouse Management System) is provided so that products in the warehouse can be stored and shipped efficiently and inventory management can be performed. As shown in (a) of FIG. 4, since it takes too much gas to create blocks on the blockchain and record all of the warehouse history data as transactions, it is possible to forge and falsify by distributing and storing it in IPFS and storing only the metadata in the blockchain. and cost of use can all be reduced. And, as in (b), the cold chain of food can be maintained using the IoT device, and the details can be provided to the user terminal 100. In addition, as in (c), not only the expiration date is provided to the user terminal 100, but after sorting in the order of expiration date, recipes containing foods with early expiration dates may be searched for and recommended to the user. Yes, you can simply give a notification. As in (d), each logistics manager may be induced to the platform of the present invention by providing consulting to re-change the layout when providing the order picking process.

Matters not described in the method of providing the blockchain-based food inventory management service of FIGS. 2 to 4 are the same as those described in the method of providing the blockchain-based food inventory management service through FIG. Since it can be easily inferred, the following description will be omitted.

5 is a diagram illustrating a process of transmitting and receiving data between components included in the blockchain-based food inventory management service providing system of FIG. 1 according to an embodiment of the present invention. Hereinafter, an example of a process of transmitting and receiving data between each component will be described through FIG. 5, but the present application is not limited to such an embodiment, and according to various embodiments described above, It is obvious to those skilled in the art that a process of transmitting and receiving data may be changed.

Referring to FIG. 5 , the inventory management service providing server receives and stores the size of the warehouse and the XYZ coordinates of each shelf cell from the logistics management terminal (S5100).

In addition, the inventory management service providing server reads the name and expiration date of the food stored in the warehouse, maps and stores the unique identification code of the cell in which the food is stored (S5200), and outputs a release event from the logistics management terminal. In this case, after arranging the food in the order of approaching expiry date of the food for which the food delivery event is output, the unique identification code of the cell where the food is located is provided along with the XYZ coordinates to be shipped (S5300).

The inventory management service providing server guides the current status of food, which is inventory, excluding shipped food, to the logistics management terminal (S5400), and stores warehouse history data including stocking, shipping, and inventory in the blockchain (S5500). .

The order between the above-described steps (S5100 to S5500) is only an example, and is not limited thereto. That is, the order of the above-described steps (S5100 to S5500) may be mutually changed, and some of the steps may be simultaneously executed or deleted.

Matters that have not been explained about the blockchain-based food inventory management service provision method of FIG. 5 are the same as those described for the blockchain-based food inventory management service provision method through FIGS. Since it can be easily inferred, the following description will be omitted.

The method for providing a blockchain-based food inventory management service according to an embodiment described with reference to FIG. 5 may be implemented in the form of a recording medium including instructions executable by a computer, such as an application or program module executed by a computer. can Computer readable media can be any available media that can be accessed by a computer and includes both volatile and nonvolatile media, removable and non-removable media. Also, computer readable media may include all computer storage media. Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data.

The above-described method for providing a blockchain-based food inventory management service according to an embodiment of the present invention is performed by an application basically installed in a terminal (this may include a program included in a platform or operating system basically installed in the terminal). It may be executed, or it may be executed by an application (ie, a program) directly installed in the master terminal by a user through an application providing server such as an application store server, an application or a web server related to the corresponding service. In this sense, the above-described blockchain-based food inventory management service providing method according to an embodiment of the present invention is implemented as an application (i.e., a program) that is basically installed in a terminal or directly installed by a user, and is implemented as a computer such as a terminal. It can be recorded on a readable recording medium.

The above description of the present invention is for illustrative purposes, and those skilled in the art can understand that it can be easily modified into other specific forms without changing the technical spirit or essential features of the present invention. will be. Therefore, the embodiments described above should be understood as illustrative in all respects and not limiting. For example, each component described as a single type may be implemented in a distributed manner, and similarly, components described as distributed may be implemented in a combined form.

The scope of the present invention is indicated by the following claims rather than the detailed description above, and all changes or modifications derived from the meaning and scope of the claims and equivalent concepts should be construed as being included in the scope of the present invention. do.

Claims (10)

A logistics management terminal that manages the status of food, which is warehoused, shipped, and loaded stock for food distribution by adding a shelf life, and sets the food to be shipped from the food with the expiration date approaching; and
A warehouse register that receives and stores the size of the warehouse and the XYZ coordinates of each shelf cell from the logistics management terminal, reads the name and expiration date of food stored in the warehouse, and uniquely identifies the cell in which the food is stored When a delivery event is output from the management unit that maps and stores the code, and the distribution management terminal, the food is sorted in the order of approaching expiry date of the food for which the delivery event is output, and the cell in which the food sorted at the top is located is unique. A first-choice unit that provides an identification code along with XYZ coordinates to be shipped out, an inventory guide unit that guides the status of food that is in stock, excluding shipped food, to the logistics management terminal, and a warehouse that includes storage, delivery, and inventory in the warehouse A blockchain unit that stores history data in a blockchain, an IoT management unit that collects the temperature and humidity of at least one cell of the shelf with at least one Internet of Things (IoT) device and then accumulates it as a temperature management history, the food Foods are sorted in the order of approaching consumption dates, at least one recipe of which the sorted food is an ingredient is extracted, and among the at least one recipe, the recipe is filtered in consideration of the user's preference of the user terminal, and then sent to the user terminal. Including; inventory management service providing server including a recipe recommendation unit for recommending a recipe,
The recipe recommendation unit,
For material exhaustion, we recommend a recipe in which the main ingredient is the one whose expiration date is the earliest among multiple ingredients.
The temperature management history,
If it is displayed in a store or delivered to a user after it is shipped, it is provided as a graph by scanning the barcode.
The warehouse register,
Based on the release details of the logistics management terminal, the frequency of release for each food is analyzed and divided into grades, and through a correlation analysis technique, the food with the highest frequency of release is placed near the warehouse. Food inventory management service provision system.
According to claim 1,
The blockchain-based food inventory management service providing system,
a user terminal that purchases and stores the food in a refrigerator, and guides consumption by arranging the food in order of expiration date when the expiration date of the food approaches;
Blockchain-based food inventory management service providing system further comprising a.
According to claim 2,
The inventory management service providing server,
When the user terminal photographs the food, the food corresponding to the subject in the photographed screen is identified by image-based deep learning, and the expiration date of the food is extracted and the expiration date is approaching to the user terminal. A consumption promotion unit that sorts and guides;
Blockchain-based food inventory management service providing system further comprising a.
According to claim 1,
The inventory management service providing server,
a distributed storage unit for storing the warehouse history data in IPFS (InterPlanetary File System);
Blockchain-based food inventory management service providing system further comprising a.
According to claim 1,
The inventory management service providing server,
a constant temperature maintenance unit for storing the temperature management history of the food stored in the warehouse to correspond to the unique identification code of the food;
Blockchain-based food inventory management service providing system further comprising a.
According to claim 1,
The inventory management service providing server,
A picking robot that moves up, down, left, and right along the rails provided between the cells of the shelf, when the delivery event is output, to the XYZ coordinates of the cells in which the food is arranged in the order of the expiration date approaching A robot picking unit that proceeds with an order picking process to pick and place food by moving it;
Blockchain-based food inventory management service providing system further comprising a.
delete delete According to claim 1,
The inventory management service providing server,
When the expiration date of the food is imminent, a promotion recommendation unit for guiding a promotion to proceed with the food nearing the expiration date;
Blockchain-based food inventory management service providing system further comprising a.
According to claim 1,
The inventory management service providing server,
If there is a shipper who requested warehousing, shipping and distribution of the food, a 3PL (Third Party Logistics) unit for guiding the warehousing, shipping and distribution steps to the shipper's terminal of the shipper;
Blockchain-based food inventory management service providing system further comprising a.

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