KR20220107662A - Method and system for providing service of smart physical distribution based on ict - Google Patents

Abstract

An ICT-based smart logistics service method according to the present invention may include the steps of: ordering a product to be sold online at a production site that produces one or more of agricultural and livestock products or a distribution center that distributes one or more of the agricultural and livestock products based on product sales requirement and product inventory by period based on big data; automatically sorting the quality status of the product to be sold through the online ordering using a quality sorter composed of a plurality of sensors and sorters; generating a barcode including production history information on the product to be sold for which the quality status has been selected, attaching the barcode to the product to be sold, and then storing the product; creating and registering warehousing status information including the quality status and the production history information in a big data DB; when a purchase order for a product is received online from a customer terminal, generating purchase order status information and registering the same in the big data DB; and delivering the arbitrary product for which the purchase order has been placed to a destination address using transportation equipment; and if a barcode recognition-based delivery completion message is received after the step of delivering, generating delivery completion status information and registering the same in the big data DB. Real-time monitoring and management can be effectively performed.

Description

ICT-based smart logistics system and service method

The present invention relates to a technique for providing a smart logistics service, and more particularly, selection and management of quality status for each product of agricultural, fishery and livestock products based on barcodes, and statistical management of product stocking status and order receipt status based on big data It relates to an ICT-based smart logistics system and service method that can provide statistical management of quality status of producers and production areas, and statistical management of flow by period.

As is known, the conventional product logistics system consists of a method in which the shipper and the borrower contact each other through an intermediary (for example, communication contact such as a telephone). The problem is that it is very inefficient.

In other words, in order to process cargo along the driver's movement, the borrower must inform the broker of the time, destination, and stopover in consideration of his or her movement in order to receive a cargo order. There is a problem that it is not only impossible, but also very cumbersome.

In order to solve these problems, a service such as attaching a barcode (product production history, etc.) to each product distributed through the logistics system and delivering it is provided. There are no countermeasures for a new service technique that uses this as big data.

Korean Patent Publication No. 10-2020-0129983 (published date: 2020. 11. 18.)

The present invention selects and manages the quality status of each product of agricultural, fishery and livestock products based on barcodes, statistical management of product stocking status and order receipt status based on big data, quality status statistical management of producers and production areas, and flow volume statistics management for each period We aim to provide an ICT-based smart logistics system and service method that can provide services.

The problem to be solved by the present invention is not limited to the above-mentioned, and another problem to be solved that is not mentioned can be clearly understood by those of ordinary skill in the art to which the present invention belongs from the following description. will be.

According to one aspect, the present invention provides a product to be sold in a production site that produces one or more of the agricultural and livestock products or a distribution that distributes one or more of the agricultural and livestock products based on the product sales requirement and product inventory for each period based on big data. placing an order; automatically selecting the quality status of the product for sale received through the online ordering using a quality selector composed of a plurality of sensors and selectors; A step of generating a barcode including production history information, attaching it to the product to be sold, and putting it in stock; Generating stocking status information including the quality status and the production history information and registering it in a big data DB; When a purchase order for an arbitrary product is received online from the terminal, generating purchase order status information and registering it in the big data DB, and delivering the purchased purchase order to a destination address using transportation equipment And, when a delivery completion message based on barcode recognition is received after the delivery step, it is possible to provide an ICT-based smart logistics service method comprising the step of generating delivery completion status information and registering it in the big data DB.

The quality state of the target product for sale of the present invention may include at least one of a product-specific quality grade, a freshness grade for each product, and a size grade for each product of any one of the agricultural, fishery and livestock products.

The production history information of the present invention is, production region, producer name, production method, production date and time, operation date and time, slaughter date, distribution location, distributor name, order date and time, stocked product name, stocked product quantity, quality status selection information, selection date and time , may include at least two or more of the wearing date and time.

In the present invention, after the step of registering the stocking status information in the big data DB, statistical management of the quality status of each product for each production region or producer based on the wearing status information registered in the big data DB may further include.

In the present invention, after the step of registering the delivery completion status information in the big data DB, the daily flow of each product, the weekly flow of each product, the monthly flow of each product, the quarterly flow of each product, the seasonal flow of each product The method may further include statistically managing at least one of the flow amount and the annual flow amount of each product.

The purchase order status information of the present invention may include purchaser information, purchase product name, purchase product quantity, and purchase order date and time.

The delivery completion status information of the present invention may include a name of a delivery person, a delivery location, and a delivery completion date and time.

The delivering may further include providing the current delivery location of the transportation equipment to the customer terminal in real time based on a location inquiry based on a GPS attached to the transportation equipment.

According to another aspect, the present invention provides a product for sale to a production site that produces one or more of the agricultural and livestock products or a distribution that distributes one or more of the agricultural, fishery and livestock products based on the big data-based period-by-period product sales requirements and product inventory. A product ordering unit for placing an order, a plurality of sensors and a selector, and a quality sorting unit for automatically selecting the quality status of the target product for sale received through the online ordering; A product marking and warehousing unit that generates a barcode including production history information and attaches it to the target product for sale, and generates stocking status information including the quality status and the production history information and registers it in the big data DB A stocking status management unit, when a purchase order for any product is received online from a customer terminal, an order status management unit that generates purchase order status information and registers it in the big data DB; to provide an ICT-based smart logistics system including a product delivery management unit that instructs delivery to the destination address using have.

According to an embodiment of the present invention, quality status selection for each product of agricultural, fishery and livestock products based on ICT and statistical management of product stocking status and order receipt status based on big data, quality status statistical management of producers and production areas, by period It is possible to provide services such as flow statistics management in real time, and through this, it is possible to effectively monitor and manage the status of production, ordering, quality selection, warehousing, shipment, and sales of each agricultural, fishery and livestock product in real time.

1 is a schematic diagram of a smart logistics distribution system to which an ICT-based smart logistics service model according to an embodiment of the present invention can be applied.
2 is a block diagram of an ICT-based smart logistics system according to an embodiment of the present invention.
3 is a flowchart illustrating a main process of providing a smart logistics service to each customer based on ICT according to an embodiment of the present invention.
4 is an exemplary diagram of a hardware (H/W) infrastructure structure that provides a smart logistics service to each customer based on ICT according to an embodiment of the present invention.

First, the advantages and features of the present invention, and a method for achieving them will become apparent with reference to the embodiments described below in detail in conjunction with the accompanying drawings. Here, the present invention is not limited to the embodiments disclosed below, but may be implemented in a variety of different forms, and only the present embodiments allow the disclosure of the present invention to be complete, and are commonly used in the technical field to which the present invention pertains. Since it is provided by way of example so that those with knowledge of the present invention can clearly understand the scope of the invention, the technical scope of the present invention should be defined by the claims.

In addition, in the following description of the present invention, if it is determined that a detailed description of a well-known function or configuration may unnecessarily obscure the gist of the present invention, the detailed description thereof will be omitted. In addition, the terms described below are terms defined in consideration of functions in the present invention, which may vary depending on the intention or custom of a user, an operator, etc., of course. Therefore, the definition should be made based on the technical idea described throughout the description of the present invention.

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

First, the smart logistics distribution system of the present invention can provide smart logistics services based on ICT, where ICT is, for example, barcode, RFID, Internet of Things (IoT), big data, artificial intelligence (AI) , cloud, and the like.

For example, the present invention provides a barcode-based smart logistics system, an RFID-based smart logistics system, an IoT-based smart logistics system, a big data-based smart logistics system, an artificial intelligence (AI)-based smart logistics system, and a cloud-based The name may be defined as any one of the smart logistics systems.

Hereinafter, a model for providing a smart logistics service based on a barcode will be described as an example in an embodiment of the present invention.

1 is a schematic diagram of a smart logistics distribution system to which an ICT-based smart logistics service model according to an embodiment of the present invention can be applied. It may include a customer terminal group 140 consisting of the customer terminals 140/1 to 140/n of .

Referring to FIG. 1 , the smart logistics system 110 is capable of providing barcode-based smart logistics services to each customer (eg, member customers or non-member customers) according to the present invention, and for this purpose, a smart logistics system ( 110) may have a configuration as shown in FIG. 2 as an example.

2 is a block diagram of an ICT-based smart logistics system according to an embodiment of the present invention.

2, the smart logistics system 110 includes a product ordering unit 202, a quality selection unit 204, a product marking and stocking unit 206, a stocking status management unit 208, an order status management unit 210, It may include a product delivery management unit 212 , a quality state statistics management unit 214 , and a flow amount statistics management unit 216 .

The product ordering unit 202 is one of the production areas or agricultural, livestock products that produce one or more of the agricultural and livestock products based on the product sales requirements and product inventory for each period based on the big data registered (stored) in the big data DB 120 . It is possible to provide a function such as placing an online order for a product to be sold to a distribution site that distributes the above.

Here, the order (or raw material order) for each product of agricultural, fishery and livestock products is a producer communication terminal (eg, a communication terminal such as a desktop PC, a laptop computer, a smart pad, a smart phone, etc.) or distribution of a distribution site through the network 130 . It may be transmitted online to the own communication terminal (eg, a communication terminal such as a desktop PC, a laptop computer, a smart pad, a smart phone).

The quality sorting unit 204 includes a plurality of sensors (eg, a temperature and humidity sensor, a quantity detection sensor, etc.), a plurality of sorting devices (eg, a fruit sorter, a meat cell meter reader, etc.), a plurality of RFID readers, a plurality of RFID recorders, and a barcode printer. , which may be composed of a plurality of handy terminals, etc., it is possible to provide functions such as automatically selecting the quality status of various products (products to be sold) of agricultural, fishery and livestock products that are stored in the smart distribution center through online ordering.

The quality status information of each product (agricultural products, fishery products, livestock products, primary processed products (eg, nurungji, hamburg steak, fish cake, etc.) generated through the quality selection unit 204) is the quality of any one product among agricultural and fishery products. It may include a grade (eg, high-middle-low quality grade), a freshness grade for each product (eg, a high-middle-low freshness grade), a size grade for each product (eg, a large and small size grade), and the quality status information of each product is stored in the big data DB (120). ) can be registered.

The product marking and stocking unit 206 generates a barcode including production history information for each product whose quality status is selected through the quality selection unit 204 and attaches it to the product, for example, is stored in a low-temperature warehouse, refrigerated warehouse, etc. It can provide functions such as commanding .

Here, the production history information includes, for example, the production area of the product, the name of the producer of the product, the production method of the product (eg, pesticide-free, natural farming method, etc.), the production date and time of the product, the operation date and time of the aquatic product, the slaughter date and time of the meat, the distribution location , distributor name, product ordering date and time, stocked product name, stocked product quantity, product quality status selection information, product selection date and time, product stocking date and time, etc. may include information.

The stocking status management unit 208 may provide a function such as generating production history information and quality status information as stocking status information of each product, respectively, and storing the production history information and quality status information in the big data DB 120 .

The order status management unit 210 receives any product (eg, agricultural products, marine products, livestock products, primary processed products) from any customer terminal (eg, 140/1) in the customer terminal group 140 of FIG. 1 through the network 130 . When a purchase order for the product is received online, a function such as generating purchase order status information for the product and registering it in the big data DB 120 may be provided.

Here, the purchase order status of the product may include, for example, information such as purchaser information, product name to be purchased, quantity of product purchased, date of purchase order, etc., and this purchase order status information may be stored in the big data DB 120 .

The product delivery management unit 212 instructs delivery of the product received from the customer using the customer terminal 140/1 to the destination address (delivery address) using transportation equipment (eg, vehicle, two-wheeled bike, etc.) , when a delivery completion message based on barcode recognition is received through the network 130 from the not-shown deliverer terminal, it is possible to provide functions such as generating delivery completion status information and registering it in the big data DB 120 .

The product delivery management unit 212 provides the current delivery location of the transportation equipment to the customer terminal 140/1 based on the location inquiry (eg, the customer location inquiry using the customer terminal) based on the GPS attached to the transportation equipment. It can provide functions such as real-time service.

The quality status statistics management unit 214 may provide a function such as statistical management of the quality status of each product for each production region or producer based on the stocking status information of each product registered in the big data DB 120, and the like. Product order management, such as increasing the quantity ordered by production areas or producers that produce relatively high-quality products through functions can be performed.

The flow statistics management unit 216 is, based on the delivery completion status information of each product stored in the big data DB 120, the daily flow of each product, the weekly flow of each product, the monthly flow of each product, and the It can provide statistical management functions such as quarterly flow volume, seasonal flow volume of each product, and annual flow volume of each product. can be done

Referring back to FIG. 1 , the big data DB 120 may store (register) big data for each product of agricultural, fishery and livestock products ordered, received, and sold through the smart logistics service provided according to the present invention.

For example, in the big data DB 120, as production history information, the production region, producer name, production method (eg, pesticide-free, natural farming method, etc.), production date and time, operation date and time, slaughter date, distribution location, distributor name, order date and time, stock Information such as product name, stocked product quantity, quality state selection information, selection date and time, and stocking date and time may be stored.

In addition, as the quality status of the product to be sold, the big data DB 120 may store information such as a quality grade for each product, a freshness grade for each product, and a size grade for each product, as the quality status of the product to be sold, and purchaser information as purchase order status information , purchase product name, purchase product quantity, purchase order date and time, etc. may be stored, and information such as a name of a delivery person, a delivery location, and a delivery completion date and time may be stored as delivery completion status information.

The network 130 is, for example, any one of a 2nd generation (2G) communication network, a 3rd generation (3G) communication network, a 4th generation (4G) communication network, a 5th generation (5G) communication network, and a next-generation communication network, or at least two or more communication networks in combination. It may include a wired communication network such as a wireless communication network and the wired Internet.

Each of the customer terminals 140/1 to 140/n in the customer terminal group 140 is, for example, a mobile phone, a smart phone, a smart pad, a smart book, a tablet PC, a netbook, a communication equipped with a wireless data communication function, such as a communication It may mean a terminal, and according to the present invention, a smart logistics service serviced by the smart logistics system 110 may be provided.

4 is an exemplary diagram of a hardware (H/W) infrastructure structure that provides a smart logistics service to each customer based on ICT according to an embodiment of the present invention.

Referring to FIG. 4 , the ICT-based smart logistics system according to the present invention may be built with a hardware infrastructure structure including a logistics center selectively including a plurality of electronic devices, a low-temperature warehouse, and a refrigerated warehouse.

3 is a flowchart illustrating a main process of providing a smart logistics service to each customer based on ICT according to an embodiment of the present invention.

Referring to FIG. 3 , the product ordering unit 202 produces one or more of agricultural, fishery and livestock products based on the product sales requirements and product inventory for each period based on big data registered (stored) in the big data DB 120. An online order for a product to be sold is placed in a production area or a distribution site that distributes one or more of agricultural, fishery and livestock products (step 302).

The order (or raw material order) for each product of agricultural, fishery and livestock products is transmitted online to the communication terminal of the producer of the production area or the communication terminal of the distributor of the distribution area through the network 130 .

The quality sorting unit 204 automatically selects the quality status of various products (products to be sold) of agricultural, fishery and livestock products that are stored in the smart distribution center through online ordering (step 304).

The quality status information of each product (agricultural products, aquatic products, livestock products, primary processed products (eg, nurungji, hamburger steak, fish cake, etc.)) It may include freshness grades (eg, upper-middle-low freshness grades), product-specific size grades (eg, large and small size grades), and the like.

The product marking and warehousing unit 206 generates a barcode including production history information for each product whose quality status is selected, attaches it to the product, and commands storage in, for example, a low-temperature warehouse or a refrigerated warehouse (step 306).

The production history information includes, for example, the production region of the product, the name of the producer of the product, the production method of the product (eg, pesticide-free, natural farming method, etc.), the production date and time of the product, the operation date and time of the aquatic product, the slaughter date and time of the meat, the distribution place, the name of the distributor , may include information such as the order date and time of the product, the name of the product in stock, the quantity of the product in stock, information on the quality status of the product, the date of selection of the product, the date and time of stocking of the product, and the like.

The stocking status management unit 208 generates production history information and quality status information as stocking status information of each product, and stores (registers) them in the big data DB 120 (step 308).

In the order status management unit 210, a purchase order for any product (eg, agricultural products, marine products, livestock products, primary processed products, etc.) is received online from any customer terminal (eg, 140/1) through the network 130 . Upon receipt (step 310), information on the purchase order receipt status of the corresponding product is generated and registered in the big data DB 120 (step 312).

The purchase order status of the product may include, for example, information such as purchaser information, a purchased product name, a purchased product quantity, and a purchase order date and time.

The product delivery management unit 212 instructs the customer to deliver the product ordered by the customer to the destination address (delivery address) using transportation equipment (eg, vehicle, two-wheeled bike, etc.) (step 314). As a result, the purchase order is received The goods are delivered to the destination address by means of transport equipment.

When a delivery completion message based on barcode recognition is received through the network 130 from the delivery terminal arriving at the destination in the product delivery management unit 212 (step 316), the product delivery management unit 212 generates delivery completion status information and registers it in the big data DB 120 do (step 318).

Meanwhile, although not illustrated in FIG. 3 , in the product delivery management unit 212 , the current delivery of the transportation equipment is based on a location inquiry based on a GPS attached to the transportation equipment (eg, a customer location inquiry using a customer terminal). The location may be provided to the customer terminal 140/1 in real time.

In addition, although the illustration in FIG. 3 is omitted, the quality status statistics management unit 214 statistically manages the quality status of each product for each production region or producer based on the stocking status information of each product registered in the big data DB 120 . function can be provided.

It carries out product order management, such as increasing the order quantity of products to a production area or producer that produces a relatively large amount of high-quality products, and reducing the order quantity to a production area or producer that produces a relatively small amount of high-quality products. to do

In addition, although not shown in FIG. 3 , in the flow statistics management unit 216 , based on the delivery completion status information of each product stored in the big data DB 120 , the daily flow of each product and the weekly flow of each product It is possible to provide a function for statistical management of the flow amount, the monthly flow amount of each product, the quarterly flow amount of each product, the seasonal flow amount of each product, the annual flow amount of each product, and the like. This is so that the smart distribution center manager can manage the order quantity and order quantity for each period of products according to the flow amount for each period.

On the other hand, although the embodiment of the present invention has been described as providing a smart logistics service based on a barcode, this is only an exemplary presentation for convenience of explanation and enhancement of understanding, and the present invention is not necessarily limited thereto, and not only the barcode Of course, it can be applied as a service model that provides smart logistics services based on RFID, IoT, big data, artificial intelligence, and cloud.

The above description is merely illustrative of the technical idea of the present invention, and those of ordinary skill in the art to which the present invention pertains may make various substitutions, modifications, and changes within the scope not departing from the essential characteristics of the present invention. It will be easy to see that this is possible. That is, the embodiments disclosed in the present invention are not intended to limit the technical spirit of the present invention, but to explain, and the scope of the technical spirit of the present invention is not limited by these embodiments.

Therefore, the protection scope of the present invention should be interpreted by the claims described below, and all technical ideas within the scope equivalent thereto should be construed as being included in the scope of the present invention.

110: smart logistics system
120: Big data DB
140: customer terminal group
140/1 to 140/n: customer terminal
202: Product ordering department
204: quality selection unit
206: Product marking and stocking department
208: warehousing status management department
210: Order status management department
212: product delivery management unit
214: quality status statistics management department
216: flow statistics management unit

Claims (7)

Online ordering of products to be sold at a production site that produces at least one of the agricultural and livestock products or a distribution site that distributes one or more of the agricultural, fishery and livestock products based on the big data-based product sales requirements and product inventory for each period;
automatically selecting the quality status of the product to be sold, which is received through the online ordering, using a quality selector composed of a plurality of sensors and selectors;
generating a barcode including production history information on the product for sale whose quality status has been selected, attaching it to the product for sale, and putting it in stock;
Generating stock status information including the quality status and the production history information and registering it in a big data DB;
When a purchase order for any product is received online from a customer terminal, generating purchase order status information and registering it in the big data DB;
Shipping the arbitrary product ordered for purchase to a destination address using transportation equipment;
After the step of delivering, when a delivery completion message based on barcode recognition is received, generating delivery completion status information and registering it in the big data DB
ICT-based smart logistics service method. The method of claim 1,
The quality status of the product to be sold is
Including at least one of a quality grade for each product, a freshness grade for each product, and a size grade for each product of any one of the agricultural and livestock products
ICT-based smart logistics service method. 3. The method of claim 2,
The production history information is
Select at least two of production region, producer name, production method, production date and time, operation date and time, slaughter date, distribution location, distributor name, order date, product name in stock, product quantity in stock, quality status selection information, selection date and time, and delivery date and time. containing
ICT-based smart logistics service method. 4. The method of claim 3,
After the step of registering the wearing status information in the big data DB,
Further comprising the step of statistically managing the quality of each product by the production region or producer based on the stocking status information registered in the big data DB
ICT-based smart logistics service method. The method of claim 1,
After the step of registering the delivery completion status information in the big data DB,
The method further comprising the step of statistically managing at least one of the daily flow of each product, the weekly flow of each product, the monthly flow of each product, the quarterly flow of each product, the seasonal flow of each product, and the annual flow of each product
ICT-based smart logistics service method. The method of claim 1,
The purchase order status information is,
Buyer information, purchase product name, purchase product quantity, purchase order date and time
ICT-based smart logistics service method. The method of claim 1,
The shipping step is
Further comprising the step of providing the current delivery location of the transportation equipment to the customer terminal in real time based on a location inquiry based on a GPS attached to the transportation equipment
ICT-based smart logistics service method.

Images