KR20220134389A - Ai-based cloud server device, customized product production system and method including the same - Google Patents

Abstract

Provided is a customized product production system that generates a personal characteristic matching model to match customized products according to personal characteristic information input from a consumer, collects available information from a plurality of production server devices, generates a production server matching model to match a production server according to the customized product based on the available information, and delivers order information to the production server device.

Description

AI-BASED CLOUD SERVER DEVICE, CUSTOMIZED PRODUCT PRODUCTION SYSTEM AND METHOD INCLUDING THE SAME

The present invention relates to an AI-based cloud server device, a system and method for producing a customized product including the same, and more particularly, an AI-based cloud server device for producing a customized product tailored to a consumer, and a system and method for producing a customized product including the same is about

In modern times, there is a trend to introduce products customized to individual consumers rather than uniformly produced in factories, and the demand for them is gradually expanding.

However, existing product suppliers use a method of mass-producing products with the same specifications, performance and ingredients, and this method is generally produced and delivered by OEM or ODM manufacturers according to the order of the original contractor. Because of this method, there is a problem that it is not possible to supply a variety of small quantities of customized products in real time for each manufacturer.

The technical problem to be solved by the present invention is an AI-based cloud server device that collects information indicating a product that can be produced from a plurality of production servers, extracts a production server capable of producing a product according to a consumer's order, and delivers the consumer's order , to provide a customized product production system and method including the same.

One aspect of the present invention, a production server device provided to control the production of customized products; an e-commerce server device that receives personal characteristic information from a consumer and generates order information for a customized product ordered from the consumer; and generating a personal characteristic matching model so that the customized product is matched according to the personal characteristic information, collecting available information indicating raw materials available for production of the customized product from a plurality of production server devices, and based on the available information and a cloud server device that generates a production server matching model so that the production server is matched according to the customized product, and transmits the order information to the production server device.

Another aspect of the present invention may include: an information collecting unit that collects personal characteristic information and order information of consumers from an e-commerce server device, and collects available information indicating raw materials available for production of a customized product from a plurality of production server devices; a customized product learning unit that generates a personal characteristic matching model so that the customized product is matched according to the personal characteristic information; a customized product extraction unit for extracting the customized product matching the personal characteristic information based on the personal characteristic matching model; a production server learning unit for generating a production server matching model so that the production server device is matched according to the customized product based on the available information; the production server extraction unit for extracting a production server device matching the customized product based on the production server matching model; and a communication unit that transmits the order information to the production server device.

In addition, the available information may include raw material information added to the customized product, process information controllable by the production server device, and external appearance information in which the customized product is stored.

In addition, the customized product learning unit, when personal characteristic information input from the dispenser to match the customized product according to the formulation information and the formulation information input from the dispenser to indicate the formulation of the customized product is collected, the personal characteristics A customized product according to the preparation information may be applied to the matching model.

In addition, the customized product learning unit may generate the individual characteristic matching model by assigning a greater weight to the customized product according to the preparation information than the customized product according to the order information.

In addition, the production server extraction unit may recommend the preparation information to the production server that matches the customized product according to the preparation information based on the production server matching model when the preparation information input from the dispenser is collected. have.

In addition, the customized product extraction unit, when the personal characteristic information input from the consumer and the order information are transmitted, extracts the customized product matching the personal characteristic information based on the personal characteristic matching model, When the customized product is different from the customized product indicated from the order information, the extracted customized product may be recommended to the consumer through the e-commerce server.

Another aspect of the present invention provides a method for producing a customized product in a system for producing a customized product, the method comprising: receiving, by an e-commerce server device, personal characteristic information from a consumer, and generating order information for a customized product ordered from the consumer; ; collecting, by the cloud server device, personal characteristic information and order information of the consumer from the e-commerce server device, and collecting available information indicating raw materials available for production of the customized product from a plurality of production server devices; generating, by the cloud server device, a personal characteristic matching model such that the customized product is matched according to the personal characteristic information; generating, by the cloud server device, a production server matching model such that the production server is matched according to the customized product based on the available information; extracting, by the cloud server device, the customized product matching the personal characteristic information based on the personal characteristic matching model, and extracting a production server device matching the customized product based on the production server matching model; and transmitting, by the cloud server device, the order information to the production server device, and controlling, by the production server device, production of a customized product.

In addition, the cloud server device, when the personal characteristics information input from the dispenser to match the personalized product according to the preparation information and the preparation information input from the dispenser to indicate the preparation method of the customized product is collected, the personal characteristics A customized product according to the preparation information may be applied to the matching model.

Also, the cloud server device may generate the personal characteristic matching model by giving a greater weight to the customized product according to the preparation information than the customized product according to the order information.

In addition, when the preparation information input from the dispenser is collected, the cloud server device may recommend the preparation information to the production server that matches the customized product according to the preparation information based on the production server matching model. have.

In addition, when the personal characteristic information and the order information input from the consumer are transmitted, the cloud server device extracts the customized product matching the personal characteristic information based on the personal characteristic matching model, and extracts the extracted When the customized product is different from the customized product indicated from the order information, the extracted customized product may be recommended to the consumer through the e-commerce server.

According to one aspect of the present invention described above, by providing an AI-based cloud server device, a customized product production system and method including the same, information indicating products that can be produced from a plurality of production servers is collected, and products according to a consumer's order By extracting a production server capable of producing

1 is a schematic diagram of a system for producing customized products according to an embodiment of the present invention;
2 is a control block diagram of a cloud server device according to an embodiment of the present invention.
3 is a block diagram illustrating a process of generating a personal characteristic matching model in the customized product learning unit of FIG. 2 .
4 is a block diagram illustrating a process of generating a production server matching model in the production server learning unit of FIG.
5 is a block diagram illustrating a process in which the customized product extraction unit of FIG. 2 transmits order information to a production server device.
6 is a block diagram illustrating a process in which the customized product extraction unit of FIG. 2 recommends a customized product to a consumer.
FIG. 7 is a block diagram illustrating a process in which the production server extraction unit of FIG. 2 transmits the preparation information to the production server device.
8 is a flowchart of a method for producing a customized product according to an embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS [0012] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS [0014] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS [0016] Reference is made to the accompanying drawings, which show by way of illustration specific embodiments in which the present invention may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the present invention. It should be understood that the various embodiments of the present invention are different but need not be mutually exclusive. For example, certain shapes, structures, and characteristics described herein with respect to one embodiment may be implemented in other embodiments without departing from the spirit and scope of the invention. In addition, it should be understood that the location or arrangement of individual components within each disclosed embodiment may be changed without departing from the spirit and scope of the present invention. Accordingly, the detailed description set forth below is not intended to be taken in a limiting sense, and the scope of the present invention, if properly described, is limited only by the appended claims, along with all scope equivalents to those claimed. Like reference numerals in the drawings refer to the same or similar functions throughout the various aspects.

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

1 is a schematic diagram of a system for producing customized products according to an embodiment of the present invention;

The customized product production system 1 may include a production server device 300 , an e-commerce server device 200 , and a cloud server device 100 .

In addition, the customized product production system 1 may be implemented by more components than the components shown in FIG. 1 , and may be implemented by fewer components. Alternatively, in the customized product production system 1 , at least two components provided in the customized product production system 1 may be integrated into one component, and one component may perform a complex function. Hereinafter, the above-described components will be described in detail.

The production server device 300 may be provided to control the production of customized products. At this time, the production server device 300 may perform control of production facilities provided to produce customized products, and for this purpose, the production server device 300 is provided to control production facilities provided in a smart factory, etc. can

Here, the smart factory may refer to a factory facility in which production automation for products is established, and accordingly, the smart factory requires manpower only for operation tasks such as maintenance or management, and manpower is not required in the production process of the product. It may mean a factory facility that does not

In this regard, the production server device 300 receives from the producer the information required in the process of controlling the production facilities of the smart factory so that the customized product is produced until sufficient information is collected to automate the production process of the customized product. can

Accordingly, the production server device 300 may collect information required in the process of producing the customized product several times, and through this, the production server device 300 may request a purchase from the consumer based on the collected information. It is possible to automate the production process of custom products that are custom-made according to the requirements.

In this case, the production server device 300 may automate the production process using artificial intelligence (AI) techniques such as machine learning and reinforcement learning.

Here, machine learning can be understood as a technique for generating a learning model to classify a plurality of information into one or more groups based on a plurality of information, and classifying arbitrary information based on the generated learning model, and In the same way, machine learning is supervised learning that creates a learning model to classify arbitrary information according to a plurality of information classified by an administrator, analyzes a plurality of information itself, or performs a clustering process and performs a learning model Unsupervised learning that generates It may include reinforcement learning (Reinforcement Learning) that generates a learning model according to the

Meanwhile, the customized product may mean a product produced by the production server device 300 . In this case, the customized product may mean a product that is customized and produced according to an order request from a consumer, and the customized product may mean a multi-variety product produced in a small amount.

For example, the customized product may be cosmetics, and in this case, the customized product may mean cosmetics customized according to personal characteristic information such as skin characteristics, dietary habits, and constitution of the consumer.

At this time, the customized product is the raw material added to the customized product according to the personal characteristic information of the consumer, the ratio between different raw materials, the process of controlling the equipment in the production server device 300, the order in which the raw material is added or mixed, and the customized product is stored can be produced differently.

In this regard, the production server device 300 may be installed in a facility capable of producing different customized products, respectively, and accordingly, the customized product production system 1 is provided to consumers among a plurality of different production server devices 300 . The production server device 300 capable of producing a customized product ordered by the company may be provided to produce a corresponding customized product.

At this time, the production server device 300 may perform production control according to the preparation information corresponding to the customized product, in this case, the preparation information includes the raw materials added to the customized product, the ratio between different raw materials, and the production server device 300 . This may include the process by which equipment is controlled, the order in which raw materials are added or mixed, and the appearance in which custom products are stored.

To this end, the cloud server device 100 may determine the production server device 300 most suitable for production of a customized product based on the consumer's order information, and the cloud server device 100 is the production server device 300 . It may be arranged to deliver the order information of the consumer to the maker to produce a corresponding customized product and provide it to the consumer.

On the other hand, the customized product is not limited to a specific occupation or product group, and for example, the customized product may be a product included in a product group in various fields such as food, cosmetics, and automobile parts.

The e-commerce server device 200 may receive personal characteristic information from a consumer, and the e-commerce server device 200 may generate order information for a customized product ordered from the consumer.

To this end, the e-commerce server device 200 may be connected to a terminal device 110 such as a personal computer or a smart phone used by a consumer through a wired or wireless network.

In this case, the terminal device 110 may receive personal characteristic information and a purchase request from the consumer, and the terminal device 110 may transmit the personal characteristic information and the purchase request to the e-commerce server device 200 .

Accordingly, the e-commerce server device 200 may receive personal characteristic information and a purchase request, and the e-commerce server device 200 may generate order information based on the purchase request.

Here, the order information may include the type and quantity of the customized product requested to be purchased by the consumer.

In other words, the e-commerce server device 200 may be provided to receive a purchase request from a consumer and perform a payment according to the transferred purchase request. A pre-prepared item may be provided to the consumer's terminal device 110 through a wireless or wired network so as to input a purchase request for .

For example, the e-commerce server device 200 may mean a server in which an Internet homepage or the like is provided to input a purchase request for a customized product.

As such, the electronic commerce server device 200 may be provided to perform an electronic commerce transaction (E-Commerce) representing a transaction such as buying or selling goods or services through a network.

Accordingly, the e-commerce server device 200 may be connected to a server provided in a bank, a credit card company, a consignment transaction company, etc. through a network to perform a payment for a purchase request of a consumer.

Meanwhile, the e-commerce server device 200 may receive formulation information indicating a recipe for a customized product from a dispenser, and the e-commerce server device 200 may receive personal characteristic information matching a customized product according to the dispensing information from the dispenser. can be input.

To this end, the e-commerce server device 200 may be connected to a terminal device 130 such as a personal computer or a smart phone used by the dispenser through a wired or wireless network.

In this case, the terminal device 130 may receive the preparation information and personal characteristic information from the dispenser, and the terminal device 130 may transmit the preparation information and the personal characteristic information to the e-commerce server device 200 .

In this regard, the e-commerce server device 200 may separate and collect information transmitted from the consumer's terminal device 110 and information transmitted from the dispenser's terminal device 130 , and for this purpose, the e-commerce server device Reference numeral 200 may set a different approach from a method provided for a consumer to input information through the terminal device 110 and an approach method provided for a dispenser to input information through the terminal device 130 .

For example, the e-commerce server device 200 may set the Internet homepage provided to the consumer's terminal device 110 and the like provided to the dispenser's terminal device 130 differently.

Also, the e-commerce server device 200 may separate a server device that collects information from the consumer's terminal device 110 and a server device that collects information from the preparer's terminal device 130 .

Accordingly, the e-commerce server device 200 may transmit the consumer's personal characteristic information and order information to the cloud server device 100 through a wireless or wired network, and the e-commerce server device 200 may use a wireless or wired network. Through this, the preparation information and personal characteristic information may be transmitted to the cloud server device 100 .

Meanwhile, the e-commerce server device 200 may be provided to purchase raw materials used for preparing a customized product according to an order from a consumer or a preparer.

The cloud server device 100 may generate a personal characteristic matching model so that a customized product is matched according to the personal characteristic information, and the cloud server device 100 is available for production of customized products from a plurality of production server devices 300 . Available information indicating raw materials may be collected, and the cloud server device 100 may generate a production server matching model such that a production server is matched according to a customized product based on the available information, and the cloud server device 100 may produce Order information may be transmitted to the server device 300 .

Here, the available information may include information available for production of the customized product, for example, the available information includes raw material information added to the customized product, process information controllable by the production server device 300, and the customized product. Appearance information may be included.

In an embodiment, raw material information may mean different chemical substances added to cosmetics, process information may mean different cosmetic production processes by the production server device 300 , and appearance information may mean produced It may mean the appearance of a container in which cosmetics are stored.

Hereinafter, the cloud server device 100 according to an embodiment of the present invention will be described in detail.

2 is a control block diagram of a cloud server device according to an embodiment of the present invention.

The cloud server device 100 may include an information collection unit 110 , a customized product learning unit 120 , a customized product extraction unit 130 , a production server learning unit 140 , and a production server extraction unit 150 . .

In addition, the cloud server device 100 may be implemented by more components than the components shown in FIG. 2 , and may be implemented by fewer components than that. Alternatively, in the cloud server device 100 , at least two components provided in the cloud server device 100 may be integrated into one component, and one component may perform a complex function. Hereinafter, the above-described components will be described in detail.

The information collection unit 110 may collect consumer's personal characteristic information and order information from the e-commerce server device 200 , and the information collection unit 110 is configured to produce customized products from a plurality of production server devices 300 . Available information may be collected indicating available raw materials.

Meanwhile, the information collection unit 110 may collect preparation information and personal characteristic information input by the dispenser from the electronic commerce server device 200 .

In this regard, the communication unit 160 may receive the consumer's personal characteristic information and order information from the e-commerce server device 200 , and the communication unit 160 may receive available information from the plurality of production server devices 300 . can Also, the communication unit 160 may receive the dispensing information and personal characteristic information input by the dispenser from the e-commerce server device 200 .

Accordingly, the information collection unit 110 may store the transmitted personal characteristic information and order information of the consumer, and the information collection unit 110 may store the transmitted available information. In addition, the information collection unit 110 may store the delivered preparation information and personal characteristic information.

The customized product learning unit 120 may generate a personal characteristic matching model so that a customized product is matched according to the personal characteristic information.

To this end, the customized product learning unit 120 may analyze a consumer's preference for a customized product according to order information and personal characteristic information, and the customized product learning unit 120 may provide order information or personal characteristic information input from the consumer. A personal characteristic matching model may be created so that a customized product with the highest preference for .

In this regard, the customized product learning unit 120 may set the consumer's preference for the customized product from the order information.

In this case, the customized product learning unit 120 may set a preference based on order information input from the same consumer. In this case, the customized product learning unit 120 may be configured according to the number of orders of the same customized product by the same consumer. You can set your preferences for the customized product.

For example, the customized product learning unit 120 based on one or more order information generated by the same consumer, according to the ratio of the number of orders of any one customized product to the total number of orders of different customized products You can set product preferences.

In addition, the customized product learning unit 120 may classify personal characteristic information into preset categories, and accordingly, the customized product learning unit 120 determines preferences based on order information input from different consumers in the same category. can be set. In this case, the customized product learning unit 120 may set the preference of the corresponding customized product according to the number of orders of the same customized product by different consumers in the same category.

For example, the customized product learning unit 120 is based on one or more orders generated by different consumers of the same category, based on the ratio of the number of orders for any one customized product to the total number of orders for different customized products You can set preferences for the corresponding customized product accordingly.

To this end, the customized product learning unit 120 may classify personal characteristic information into preset categories using an artificial intelligence technique such as machine learning, and the customized product learning unit 120 uses an artificial intelligence technique. A personal characteristic matching model can be created so that a customized product can be matched according to personal characteristic information.

On the other hand, the customized product learning unit 120 collects personal characteristic information input from the dispenser to match the customized product according to the dispensing information input from the dispenser and the dispensing information to indicate the recipe for the customized product, personal characteristics matching A customized product according to the formulation information can be applied to the model.

In this case, the personal characteristic matching model may be generated such that a customized product according to the preparation information is extracted according to the personal characteristic information input from the consumer.

In this regard, the customized product learning unit 120 may generate a personal characteristic matching model by assigning a greater weight to the customized product according to the preparation information than the customized product according to the order information.

To this end, the information collection unit 110 may further collect information on the dispenser in which the dispensing information has been input, and in this case, the dispenser information includes an ID, dispenser name, dispenser code, so as to distinguish a dispenser who has inputted dispensing information. It may include information such as

Accordingly, the customized product learning unit 120 may analyze the dispenser's preference according to the dispenser information and the preference of the customized product according to the dispensing information. For example, the customized product learning unit 120 may use the dispenser information so that the higher the preference of the customized product according to the dispensing information input by the arbitrary dispenser, the higher the preference of the corresponding dispenser.

In this case, the customized product learning unit 120 may generate a personal characteristic matching model by assigning a higher weight to the customized product according to the dispensing information input by the dispenser as the dispenser's preference shown from the dispenser information is higher.

The customized product extraction unit 130 may extract a customized product matching the personal characteristic information based on the individual characteristic matching model.

In this case, when the personal characteristic information and order information input from the consumer are transmitted, the customized product extraction unit 130 may extract a customized product matching the personal characteristic information based on the personal characteristic matching model, and extract the customized product When the extracted customized product is different from the customized product indicated from the order information, the unit 130 may recommend the extracted customized product to the consumer through the e-commerce server device 200 .

Here, recommending a customized product to the consumer may be understood as the communication unit 160 delivering information to the e-commerce server device 200 to provide information on the customized product to the consumer's terminal device 110 .

The production server learning unit 140 may generate a production server matching model so that the production server device 300 is matched according to a customized product based on the available information.

In other words, the production server matching model may be generated to extract available information corresponding to the preparation information of the customized product, and accordingly, the production server matching model is generated to extract the production server device 300 that has transmitted the extracted available information. can be

To this end, the production server learning unit 140 may generate a production server matching model so that the production server device 300 is matched according to a customized product by using an artificial intelligence technique.

At this time, the production server learning unit 140 learns the available information transmitted from the different production server devices 300 to produce any one customized product among the plurality of production server devices 300 most efficiently. A production server matching model can be created to extract production server devices.

The production server extraction unit 150 may extract the production server device 300 matching the customized product based on the production server matching model.

In this case, when the order information is transmitted, the production server extraction unit 150 may extract the production server device 300 matching the customized product appearing from the order information.

On the other hand, when the preparation information input from the dispenser is collected, the production server extraction unit 150 recommends the preparation information to the production server device 300 that matches the customized product according to the preparation information based on the production server matching model. can

Here, recommending the preparation information to the production server device 300 may be understood as the communication unit 160 transmits information to the production server device 300 .

The communication unit 160 may transmit order information to the production server device 300 , and accordingly, the production server device 300 may extract a customized product from the order information, and the production server device 300 may extract the customized product. Control may be performed so that a customized product is produced according to the preparation information corresponding to the product.

3 is a block diagram illustrating a process of generating a personal characteristic matching model in the customized product learning unit of FIG. 2 .

Referring to FIG. 3 , the information collection unit 110 may collect the consumer's personal characteristic information and order information from the electronic commerce server device 200 .

Accordingly, the customized product learning unit 120 may generate a personal characteristic matching model so that the customized product is matched according to the personal characteristic information.

To this end, the customized product learning unit 120 may analyze a consumer's preference for a customized product according to order information and personal characteristic information, and the customized product learning unit 120 may provide order information or personal characteristic information input from the consumer. A personal characteristic matching model may be created so that a customized product with the highest preference for .

At this time, the customized product learning unit 120 may classify the personal characteristic information into preset categories using an artificial intelligence technique such as machine learning, and the customized product learning unit 120 uses an artificial intelligence technique. Thus, it is possible to create a personal characteristic matching model so that a customized product is matched according to the personal characteristic information.

4 is a block diagram illustrating a process of generating a production server matching model in the production server learning unit of FIG.

Referring to FIG. 4 , the information collection unit 110 may collect available information indicating raw materials available for production of a customized product from a plurality of production server devices 300 .

Accordingly, the production server learning unit 140 may generate a production server matching model so that the production server device 300 is matched according to a customized product based on the available information.

In this case, the production server matching model may be generated to extract available information corresponding to the preparation information of the customized product, and accordingly, the production server matching model is generated to extract the production server device 300 that has transmitted the extracted available information. can

To this end, the production server learning unit 140 may generate a production server matching model so that the production server device 300 is matched according to a customized product by using an artificial intelligence technique.

5 is a block diagram illustrating a process in which the customized product extraction unit of FIG. 2 transmits order information to a production server device.

Referring to FIG. 5 , the information collection unit 110 may collect the consumer's personal characteristic information and order information from the electronic commerce server device 200 .

Accordingly, the customized product extraction unit 130 may extract a customized product matching the personal characteristic information based on the individual characteristic matching model.

In this case, the customized product learning unit 120 may generate a personal characteristic matching model so that the customized product is matched according to the personal characteristic information.

Through this, the communication unit 160 may transmit order information to the production server device 300 , and accordingly, the production server device 300 may extract a customized product from the order information, and the production server device 300 may Control may be performed so that a customized product is produced according to the preparation information corresponding to the extracted customized product.

6 is a block diagram illustrating a process in which the customized product extraction unit of FIG. 2 recommends a customized product to a consumer.

Referring to FIG. 6 , the information collection unit 110 may collect the consumer's personal characteristic information and order information from the e-commerce server device 200 .

Accordingly, the customized product extraction unit 130 may extract a customized product matching the personal characteristic information based on the individual characteristic matching model.

In this case, the customized product learning unit 120 may generate a personal characteristic matching model so that the customized product is matched according to the personal characteristic information.

On the other hand, the customized product extraction unit 130 may extract a customized product matching the personal characteristic information based on the personal characteristic matching model when the personal characteristic information and the order information input from the consumer are transmitted, and extract the customized product When the extracted customized product is different from the customized product indicated from the order information, the unit 130 may recommend the extracted customized product to the consumer through the e-commerce server device 200 .

Here, recommending a customized product to the consumer may be understood as the communication unit 160 delivering information to the e-commerce server device 200 to provide information on the customized product to the consumer's terminal device 110 .

FIG. 7 is a block diagram illustrating a process in which the production server extraction unit of FIG. 2 transmits the preparation information to the production server device.

Referring to FIG. 7 , the information collection unit 110 may collect available information indicating raw materials available for production of a customized product from a plurality of production server devices 300 .

Accordingly, the production server extraction unit 150 may extract the production server device 300 matching the customized product based on the production server matching model.

To this end, the production server learning unit 140 may generate a production server matching model so that the production server device 300 is matched according to a customized product based on available information.

In this case, the production server extraction unit 150 recommends the preparation information to the production server device 300 that matches the customized product according to the preparation information based on the production server matching model when the preparation information input from the dispenser is collected. can

Here, recommending the preparation information to the production server device 300 may be understood as the communication unit 160 transmits information to the production server device 300 .

8 is a flowchart of a method for producing a customized product according to an embodiment of the present invention.

Since the customized product production method according to an embodiment of the present invention proceeds on substantially the same configuration as the customized product production system 1 shown in FIG. 1 , for the same components as the customized product production system 1 of FIG. The same reference numerals are given, and repeated descriptions will be omitted.

The customized product production method includes the steps of: the e-commerce server device generating order information (800), the cloud server device collecting information (810), the cloud server device generating a personal characteristic matching model according to the personal characteristic information; (820), the cloud server device generates a production server matching model based on the available information (830), the cloud server device extracts a customized product matching the personal characteristic information, and a production server device that matches the customized product It may include the step of extracting (840) and the production server device controlling the production of the customized product (850).

The step 800 in which the e-commerce server device generates order information may be a step in which the e-commerce server device 200 receives personal characteristic information from a consumer and generates order information for a customized product ordered from the consumer.

In the step 810 in which the cloud server device collects information, the cloud server device 100 collects the consumer's personal characteristic information and order information from the e-commerce server device 200 , and is customized from a plurality of production server devices 300 . It may be a step of collecting available information indicating available raw materials for the production of a product.

The step 820 in which the cloud server device generates a personal characteristic matching model according to the personal characteristic information may be a step in which the cloud server device 100 generates a personal characteristic matching model so that a customized product is matched according to the personal characteristic information.

Step 830 of the cloud server device generating a production server matching model based on the available information is a step of generating the production server matching model so that the cloud server device 100 matches the production server according to the customized product based on the available information. can be

The cloud server device extracts a customized product that matches the personal characteristic information, and extracts the production server device that matches the customized product ( 840 ), the cloud server device 100 adds the personal characteristic information to the personal characteristic information based on the personal characteristic matching model. It may be a step of extracting the matching customized product and extracting the production server device 300 matching the customized product based on the production server matching model.

In the step 850 of the production server device controlling the production of the customized product, the cloud server device 100 transmits order information to the production server device 300, and the production server device 300 controls the production of the customized product. may be a step.

Although the above has been described with reference to the embodiments, those skilled in the art will understand that various modifications and changes can be made to the present invention without departing from the spirit and scope of the present invention as set forth in the following claims. will be able

1: Customized product production system
100: cloud server device
110: consumer's terminal device
130: dispenser's terminal device
200: e-commerce server device
300: production server device

Claims (12)

a production server device arranged to control the production of customized products;
an e-commerce server device that receives personal characteristic information from a consumer and generates order information for a customized product ordered from the consumer; and
generate a personal characteristic matching model so that the customized product is matched according to the personal characteristic information, collect available information indicating raw materials available for production of the customized product from a plurality of production server devices, and collect the available information based on the available information A cloud server device that generates a production server matching model so that the production server is matched according to a customized product, and transmits the order information to the production server device; A customized product production system comprising a.
an information collection unit that collects personal characteristic information and order information of consumers from the e-commerce server device, and collects available information indicating raw materials available for production of a customized product from a plurality of production server devices;
a customized product learning unit that generates a personal characteristic matching model so that the customized product is matched according to the personal characteristic information;
a customized product extraction unit for extracting the customized product matching the personal characteristic information based on the personal characteristic matching model;
a production server learning unit for generating a production server matching model so that the production server device is matched according to the customized product based on the available information;
the production server extraction unit for extracting a production server device matching the customized product based on the production server matching model; and
A cloud server device comprising; a communication unit for transmitting the order information to the production server device.
According to claim 2, wherein the available information,
The cloud server device, including raw material information added to the customized product, process information controllable in the production server device, and appearance information in which the customized product is stored.
According to claim 2, wherein the customized product learning unit,
When the formulation information input from the dispenser to indicate the formulation method of the customized product and personal characteristic information input from the dispenser to match the customized product according to the formulation information are collected, the personal characteristic matching model according to the formulation information Cloud server device to apply custom products.
According to claim 4, wherein the customized product learning unit,
A cloud server device for generating the personal characteristic matching model by giving a greater weight to the customized product according to the preparation information than the customized product according to the order information.
According to claim 4, The production server extraction unit,
When the dispensing information input from the dispenser is collected, the cloud server device recommends the dispensing information to the production server that matches the customized product according to the dispensing information based on the production server matching model.
According to claim 2, wherein the customized product extraction unit,
When the personal characteristic information and the order information input from the consumer are transmitted, the customized product matching the personal characteristic information is extracted based on the personal characteristic matching model, and the extracted customized product is displayed from the order information When different from the customized product, the cloud server device for recommending the extracted customized product to the consumer through the e-commerce server.
In the customized product production method in the customized product production system,
receiving, by the e-commerce server device, personal characteristic information from a consumer, and generating order information for a customized product ordered from the consumer;
collecting, by the cloud server device, personal characteristic information and order information of the consumer from the e-commerce server device, and collecting available information indicating raw materials available for production of the customized product from a plurality of production server devices;
generating, by the cloud server device, a personal characteristic matching model such that the customized product is matched according to the personal characteristic information;
generating, by the cloud server device, a production server matching model such that the production server is matched according to the customized product based on the available information;
extracting, by the cloud server device, the customized product matching the personal characteristic information based on the personal characteristic matching model, and extracting a production server device matching the customized product based on the production server matching model; and
The cloud server device transmitting the order information to the production server device, and the production server device controlling the production of the customized product; Containing, a customized product production method.
The method of claim 8, wherein the cloud server device,
When the formulation information input from the dispenser to indicate the formulation method of the customized product and personal characteristic information input from the dispenser to match the customized product according to the formulation information are collected, the personal characteristic matching model according to the formulation information How to make custom products, applying custom products.
The method of claim 9, wherein the cloud server device,
A customized product production method for generating the individual characteristic matching model by giving a greater weight to the customized product according to the preparation information than the customized product according to the order information.
The method of claim 9, wherein the cloud server device,
When the dispensing information input from the dispenser is collected, the dispensing information is recommended to the manufacturing server that matches the customized product according to the dispensing information based on the manufacturing server matching model.
The method of claim 8, wherein the cloud server device,
When the personal characteristic information and the order information input from the consumer are transmitted, the customized product matching the personal characteristic information is extracted based on the personal characteristic matching model, and the extracted customized product is displayed from the order information If different from the customized product, the extracted customized product is recommended to the consumer through the e-commerce server, the customized product production method.

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