KR20230068028A - Method and device for providing reliability through linking manufacturing and production facility with block chain - Google Patents

Abstract

Disclosed are a method for providing reliability through linking manufacturing production facilities and a blockchain and a device thereof. According to one embodiment of the present invention, a method for providing reliability includes the steps of: setting up a network interface for data linkage with an add-on module coupled to a manufacturing production facility; collecting data about the manufacturing production facility from the add-on module through the set network interface; preprocessing the collected data; and storing the preprocessed data in a blockchain system.

Description

Method and device for providing reliability through linkage of manufacturing production facilities and blockchain

The following description relates to a method and device for providing reliability through linkage between manufacturing production facilities and blockchain.

Recently, as the manufacturing production environment becomes smart and digital transformation of the manufacturing environment is performed, various data in the manufacturing production environment are generated and collected. In particular, various production and manufacturing data, such as detection of defects using AI (Artificial Intelligence) technology and normal operation of the manufacturing process, can be used for product quality control, and the reliability of manufactured products is emerging as an important issue in an increasingly complex supply chain environment. It is becoming.

[Prior document number]

Korean Patent Registration No. 10-1990087

Provides a method and device for providing reliability through linkage with manufacturing production facilities and blockchain.

A reliability providing method for a computer device including at least one processor, comprising: setting a network interface for data linkage with an add-on module coupled to a manufacturing production facility by the at least one processor; collecting, by the at least one processor, data on the manufacturing production facility from the add-on module through the configured network interface; pre-processing the collected data by the at least one processor; and storing the preprocessed data in a blockchain system by the at least one processor.

According to one side, the step of preprocessing may be characterized in that a smart contract provided from the delivery destination or encryption required by the delivery destination is applied to the collected data.

According to another aspect, the reliability providing method may further include receiving, by the at least one processor, quality requirements from a plurality of suppliers and registering them in a pool of suppliers.

According to another aspect, the reliability providing method may further include matching, by the at least one processor, quality requirements for each supplier registered on the supplier pool with data stored in the blockchain system.

According to another aspect, the reliability providing method may further include processing, by the at least one processor, negotiation of a discount rate between a supplier and a producer according to the matching.

According to another aspect, the reliability providing method may further include transmitting, by the at least one processor, delivery destination information of a matched delivery destination to a production management system of a producer according to the matching.

According to another aspect, the reliability providing method may further include updating, by the at least one processor, Bill Of Distribution (BOD) information for a corresponding product of the producer.

According to another aspect, the reliability providing method includes registering, by the at least one processor, whether a product manufactured by the producer is normally delivered to the matched delivery destination, whether or not the delivery is normal, updated by the delivery destination. can include more.

According to another aspect, the reliability providing method may cause the supplier to settle costs to the producer using a smart contract as normal delivery of the product of the producer to the supplier is confirmed by the at least one processor. A processing step may be further included.

A computer program stored in a computer readable recording medium is provided in combination with a computer device to execute the method on the computer device.

A computer readable recording medium having a program for executing the method in a computer device is recorded.

It includes at least one processor implemented to execute instructions readable by a computer device, and by the at least one processor, a network interface for data linkage with an add-on module coupled to a manufacturing production facility is set, and the set network Provides a computer device characterized in that it collects data on the manufacturing production facilities from the add-on module through an interface, pre-processes the collected data, and stores the pre-processed data in a blockchain system.

The trust structure of manufacturing products using blockchain can be connected to the Supply Chain Management (SCM) system to improve the reliability of producers and promote quality trust throughout the supply chain. If blockchain is introduced in the SCM network, it will be possible to prove more explicitly in relation to quality if it can guarantee the trust of participants, fast contract processing, and data reliability in the production stage. In addition, reliability can be improved by improving supply chain transparency. It can perform various tasks such as preventing counterfeit products, tracing the country of origin, and tracking defects in a specific bill of distribution (BOM).

When blockchain is used, it not only manages the participants in the supply chain as a reliable target, but also manages the individual operation status and production stage of production devices by combining IoT (Internet of Things) and AI (Artificial Intelligence), and moves products. can be tracked based on the data. Through this, it is possible to secure transparency of the supply chain and respond more actively and quickly to reliability problems within the supply chain.

1 is a diagram illustrating an example of a production and consumption flow of a product according to an embodiment of the present invention.
2 is a diagram showing an example of a blockchain interworking module according to an embodiment of the present invention.
3 is a diagram showing an example of the internal structure of a blockchain interworking module according to an embodiment of the present invention.
4 is a flowchart illustrating an example of a method for linking manufacturing production data to a block chain according to an embodiment of the present invention.
5 is a diagram illustrating an example of linking and utilizing a supply chain using a block chain according to an embodiment of the present invention.
6 is a flowchart illustrating an example of supply chain linkage utilization using a block chain according to an embodiment of the present invention.
7 is a block diagram illustrating an example of a computer device according to an embodiment of the present invention.

Hereinafter, an embodiment will be described in detail with reference to the accompanying drawings.

1 is a diagram illustrating an example of a production and consumption flow of a product according to an embodiment of the present invention. In the case of manufactured goods, production and utilization are carried out through various stages, and in this process, the final product in a specific process is used as a part in another process, resulting in a complex life cycle. When data is acquired based on smart factories in the manufacturing production stage, the information is continuously linked to production companies or logistics companies, so that information on unique manufacturing products is cumulatively generated, and whenever a product changes hands, the corresponding Information is passed on or discarded.

An add-on module 110 is a function and device that can be included in the entire process for production of a product, and can play a role in acquiring product information. The embodiment of FIG. 1 shows an example in which the add-on module 110 is combined with points that can be linked with a blockchain in the process of producing a product. For example, when production is performed through a device on a production line, information related to the operating state of the production equipment and the production quality of the product (inspection information, etc.) corresponds to this.

Quality verification of products in the production stage using AI is becoming more active, and information related to the quality of products in the production stage is continuously collected and used in the form of big data for various reasons, such as production chain management and quality control of suppliers. In addition, as the complexity of the supply chain increases, manufactured goods (products) are actually used through various stages and physical movement, and thus external factors related to quality may occur during transportation and movement. Therefore, the producer should provide a quality verification method in the form of assurance to the supplier for his/her product, and through this, should be able to avoid or respond appropriately when a quality problem occurs.

2 is a diagram showing an example of a blockchain interworking module according to an embodiment of the present invention. In this embodiment, a block chain is configured so that stake holders can mutually trust the data collected in the manufacturing production stage, and the reliability of data collected by utilizing smart contracts based on each contract It shows an example of providing a blockchain interworking module 200 so as to secure. The blockchain interworking module 200 can be connected to a device or module that generates various data in a manufacturing environment, and transmits the collected data to a blockchain network through appropriate processing. At this time, data preprocessing can be performed based on smart contracts as needed, and authentication methods or encryption methods specified by the supply chain can be supported as needed.

The blockchain interworking module 200 according to this embodiment may have a separate hardware configuration so as to be effectively applicable to the existing manufacturing production environment, and may have a connection at the equipment level as well as a machine control facility and can work in tandem. At this time, interfaces of devices that can be connected include HMI (Human machine interaction), PLC (Programmable Logic Controller), RFID (radio frequency identification), barcode, signal through relay, SCADA (Supervisory Control And Data Acquisition), etc. A variety of interfaces can be supported.

In addition, the blockchain interworking module 200 may be connected to software used in a manufacturing production environment. The blockchain interworking module 200 can mount its own smart contract according to the hardware characteristics of the system. In this case, the blockchain interworking module 200 can be used to verify the authenticity and reliability of collected data by executing a smart contract according to a separately defined rule at the time of data collection. For example, if a specific product manufactured by company A is used as a major component in company B's product, company B requests a blockchain-based SCM (Supply Chain Management) proposal from company A at the time of ordering, and the main details include: Reliability can be demanded for monitoring values of specific quality-related data from production control facilities. At this time, Company A creates a smart contract that satisfies the characteristics required by Company B, mounts it on the blockchain linkage module 200, and links it to manufacturing production management facilities, so that B can trust the data at the time of production. It can be collected in the form and stored on the blockchain.

3 is a diagram showing an example of the internal structure of a blockchain interworking module according to an embodiment of the present invention. The blockchain interworking module 200 according to the embodiment of FIG. 3 includes a data aggregation interface (Data Aggregation Interface, 310), a smart contract control module (Smart Contract Control Module, 320), a virtual machine (Virtual Machine, 330), and a storage module. (Storage Module, 340) and a data transport interface (Data Transport Interface, 350).

The data aggregation interface 310 may support various network interfaces for connection to manufacturing facilities such as production facilities or data transmission devices. For example, a control function for interworking between the addon module 110 and the blockchain interworking module 200 may be set by setting information such as an access control list (ACL).

The smart contract control module 320 is a module that executes a smart contract and may have actual smart contract information and at least a part of information about the ledger 321 as needed. The smart contract control module 320 may include a trust module 322, and the trust module 322 will provide a function of loading secure smart contract information based on contracts between suppliers and monitoring it. can Depending on the embodiment, the trust module 322 may provide an authentication function by interworking with an interface for authentication provided by a network provider, such as an embedded subscriber identity module (eSIM). In addition, when a provider provides or requests a separate hash algorithm or encryption mechanism, the trust module 322 may apply functions related to the hash algorithm or encryption mechanism to data.

The virtual machine 330 may provide a function of data interworking with the black chain network based on the conditions of the smart contract. To this end, the virtual machine 330 may include an opcode loader 331, a stack 332, a memory 333, and an execution engine 334.

The operation code loader 331 may be a module that loads operation codes for operating smart contracts and blockchain services.

The stack 332 may provide a stack structure, and the memory 333 may provide a memory for processing program data such as executing an operation code.

The execution engine 334 is an engine capable of directly executing an operation code, and may be implemented by, for example, a programming language such as Python, Go, or a Java Virtual Machine (JVM).

The storage module 340 may provide software required for the blockchain interworking module 200 and provide a function for temporarily storing collected data.

The data transmission interface 350 may support connection between the block chain interworking module 200 and a general network (Internet and wireless network). At this time, the data transmission interface 350 may support various protocols of a wired/wireless network, and may be equipped with an interface such as NB-IoT (NarrowBand-IoT) according to its characteristics.

4 is a flowchart illustrating an example of a method for linking manufacturing production data to a block chain according to an embodiment of the present invention. The linkage method according to this embodiment may be performed by the block chain linkage module 200 described above. At least some of the steps 410 to 460 included in the association method may be performed by a human, and in this case, a process performed by a human may be omitted from the association method according to the present embodiment.

In step 410, the block chain interworking module 200 may check the supply contract for the product. When a producer concludes a supply contract for a product with a supplier, the block chain linkage module 200 may receive information on the concluded supply contract.

In step 420, the blockchain interworking module 200 may check the quality requirements of the supplier. For example, if there is a request for separate production and manufacturing data for trust management of blockchain-based SCM or a separate blockchain network or product quality from the supplier, the information on this is interlocked with the blockchain according to a pre-set frame as a quality requirement. can be input into module 200 . In addition, quality requirements may include collection requirements such as smart contract application or encryption application.

In step 430, the blockchain interlocking module 200 may select a target device for installing the add-on module among production facilities. As an example, the blockchain interworking module 200 may select an installation target of an add-on module (eg, the add-on module 110 described with reference to FIG. 1 ) targeting main production facilities in the product production process. The installation targets are 1) a point to check the ratio of major raw materials, 2) a point to create key quality-related sensing data during key production procedures, 3) a point to check whether a device is malfunctioning, and 4) a unique serial number of the product. It can be a point to do.

Depending on the embodiment, the preceding steps 410 to 430 may be performed by a person, and in this case, the steps 410 to 430 may be omitted.

In step 440, the blockchain interworking module 200 may set a network interface with the add-on module 110 installed in the manufacturing production facility. After the add-on module 110 is mounted in major manufacturing production facilities related to quality, a network interface for data linkage between the block-chain interworking module 200 and the add-on module 110 may be set. At this time, the data of the manufacturing production facility may be connected to the next network device in the form of being relayed through an add-on module.

In step 450, the blockchain interworking module 200 may collect data on manufacturing production facilities from the add-on module 110 through the set network interface.

In step 460, the blockchain interworking module 200 may pre-process the collected data by applying a smart contract application or a collection requirement of encryption application. For example, the blockchain interworking module 200 may apply collection requirements, such as application of smart contracts or encryption previously described in step 420, to the data collected through the add-on module. Therefore, the collected data can be pre-processed according to the requirements of the supplier.

In step 470, the blockchain interworking module 200 may link the pre-processed data with a blockchain system and/or a corporate information system. As an example, the blockchain interworking module 200 may store preprocessed data collected through an add-on module in a blockchain system and/or a company information system. The stored data can be provided to users, such as suppliers, and can provide reliability for various data in the manufacturing environment.

5 is a diagram illustrating an example of linking and utilizing a supply chain using a block chain according to an embodiment of the present invention. The supply chain-linked blockchain network 510 according to this embodiment can be used for automatic payment or supplier matching through data-based quality trust. As an example, the supply chain-linked blockchain network 510 may provide information related to the quality at the time of production of the product to a supplier through a blockchain connection with a manufacturing production facility (eg, the corporate production management system 520). . In addition, information such as quality requirements for each supplier may be registered in the supplier pool 520 through the supply chain-linked blockchain network 510, and negotiations may be conducted on products based on quality or price. Depending on the embodiment, the supply chain linkage blockchain network 510 may include the above-described blockchain linkage module 200.

When it is confirmed that normal quality conditions are satisfied through the supply chain-linked blockchain network 510, it is possible to automate payment by using the smart contract provided by the supplier based on the information. In addition, even if a product is partially damaged or of poor quality, the product can be excluded from payment or a discount rate can be applied using the smart contract provided by the supplier.

If the quality requirements required by a specific supplier are not met, but a business network requiring a different quality is connected, the supply chain of the product can be automatically changed. To this end, when producing a product in the BOM (Bill Of Material) unit, if the quality requirements for the quality of the product cannot be satisfied, a smart contract that changes the BOD (Bill Of Distribution) to the producer that requires differential quality is connected. can

6 is a flowchart illustrating an example of supply chain linkage utilization using a block chain according to an embodiment of the present invention.

In step 610, the supply chain-linked blockchain network 510 may obtain quality information of smart contract-based products through a device in which an add-on module is installed. Information on each producer and supplier may be registered in the supply chain-linked blockchain network 510 in advance. This step 610 may correspond to step 450 described above with reference to FIG. 4 .

In step 620, the supply chain linkage blockchain network 510 may register quality information on the supply chain linkage blockchain network 510. Accordingly, quality information of products produced by producers may be disclosed through the supply chain linked blockchain network 510 . This step 620 may correspond to or be included in step 470 described above with reference to FIG. 4 .

In step 630, the supply chain-linked blockchain network 510 may match quality requirements for each supplier on the supplier pool. The supply chain-linked blockchain network 510 may receive quality requirements from each of a plurality of suppliers and disclose the quality requirements of the suppliers to blockchain network participants based on the superiority of the supply chain. The supply chain-linked blockchain network 510 may register the received quality requirements for each supplier on the supplier pool. At this time, the supply chain-linked blockchain network 510 may compare the quality information of the product and the quality requirements for each supplier using a smart contract to perform a matching operation between the producer and the supplier. Here, the product quality information may be product quality information registered in the supply chain-linked blockchain network 510, and may be data preprocessed in step 460 of FIG. 4 and stored in the blockchain system.

At this time, the priority of the connection may be determined according to various forms, such as based on the delivery price or, in the case of a Point of Sales (PoS)-based network, based on pre-order priority distribution.

In step 640, the supply chain-linked blockchain network 510 may negotiate discount rate information according to matching. For example, the supply chain-linked blockchain network 510 may process negotiations between the supplier and the producer by connecting the matched supplier and the producer. Depending on the embodiment, step 640 may be performed by a person, in which case step 640 may be omitted.

In step 650, the supply chain-linked blockchain network 510 may deliver matched supplier information on the manufacturing company's production management system. The manufacturing company (producer) may receive information on the supplier for the successful bid product through the smart contract of the supply chain-linked blockchain network 510.

In step 660, the supply chain linkage blockchain network 510 may update the received BOD information on the corresponding product (product) of the manufacturing company. The producer can update the delivery information of the product and record it on the BOD or ERP so that the supply chain linkage blockchain network 510 can grasp it.

In step 670, the supply chain linkage blockchain network 510 may update product delivery information. For example, when a product manufactured by a manufacturing company is normally delivered to a matched supplier, the supplier can update whether or not the delivery is normal to the supply chain linkage blockchain network 510, and the supply chain linkage blockchain network 510 Information on normal delivery can be registered.

In step 680, the supply chain linkage blockchain network 510 may settle product costs. As an example, as normal delivery is confirmed, the supply chain-linked blockchain network 510 may process the supplier to settle the cost to the manufacturing company (producer) using a smart contract.

In this way, according to the embodiments of the present invention, the trust structure of manufacturing products using block chain is connected to the supply chain management (SCM) system to improve the reliability of producers and promote quality trust in the entire supply chain. can In addition, when blockchain is introduced in the SCM network, more explicit proof of quality will be possible if it is possible to guarantee participants' trust, fast contract processing, and data reliability in the production stage. In addition, reliability can be improved by improving supply chain transparency. It can perform various tasks such as preventing counterfeit products, tracing the country of origin, and tracking defects in a specific bill of distribution (BOM). In addition, when blockchain is used, participants in the supply chain are not only managed as trustworthy targets, but also by combining IoT (Internet of Things) and AI (Artificial Intelligence), it is possible to manage the individual operation status and production stage of production devices, and Movement can be tracked based on data, and through this, transparency of the supply chain and reliability problems within the supply chain can be more actively and promptly responded to.

7 is a block diagram illustrating an example of a computer device according to an embodiment of the present invention. Each of the above-described add-on module 110, blockchain interworking module 200, and supply chain linkage blockchain network 510 may be implemented by at least one computer device (Computer device, 700). As shown in FIG. 7, the computer device 700 may include a memory 710, a processor 720, a communication interface 730, and an I/O interface 740. can The memory 710 is a computer-readable recording medium and may include a random access memory (RAM), a read only memory (ROM), and a permanent mass storage device such as a disk drive. Here, a non-perishable mass storage device such as a ROM and a disk drive may be included in the computer device 700 as a separate permanent storage device separate from the memory 710 . Also, an operating system and at least one program code may be stored in the memory 710 . These software components may be loaded into the memory 710 from a computer-readable recording medium separate from the memory 710 . The separate computer-readable recording medium may include a computer-readable recording medium such as a floppy drive, a disk, a tape, a DVD/CD-ROM drive, and a memory card. In another embodiment, software components may be loaded into the memory 710 through a communication interface 730 rather than a computer-readable recording medium. For example, software components may be loaded into the memory 710 of the computer device 700 based on a computer program installed by files received through a network 760 .

The processor 720 may be configured to process commands of a computer program by performing basic arithmetic, logic, and input/output operations. Instructions may be provided to processor 720 by memory 710 or communication interface 730 . For example, processor 720 may be configured to execute received instructions according to program codes stored in a recording device such as memory 710 .

The communication interface 730 may provide functions for the computer device 700 to communicate with other devices through the network 760 . For example, a request, command, data, file, etc. generated according to a program code stored in a recording device such as a memory 710 by the processor 720 of the computer device 700 is transferred to a network ( 760) to other devices. Conversely, signals, commands, data, files, etc. from other devices may be received by computer device 700 via communication interface 730 of computer device 700 via network 760 . Signals, commands, data, etc. received through the communication interface 730 may be transferred to the processor 720 or the memory 710, and files, etc. may be stored as storage media that the computer device 700 may further include (described above). permanent storage).

The input/output interface 740 may be a means for interface with an input/output device (I/O device, 750). For example, the input device may include a device such as a microphone, keyboard, or mouse, and the output device may include a device such as a display or speaker. As another example, the input/output interface 740 may be a means for interface with a device in which functions for input and output are integrated into one, such as a touch screen. The input/output device 750 and the computer device 700 may be configured as one device.

Also, in other embodiments, computer device 700 may include fewer or more elements than those of FIG. 1 . However, there is no need to clearly show most of the prior art components. For example, the computer device 700 may be implemented to include at least a portion of the above-described input/output device 750 or may further include other elements such as a transceiver and a database.

The system or device described above may be implemented as a hardware component or a combination of hardware components and software components. For example, devices and components described in the embodiments may include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA) , a programmable logic unit (PLU), microprocessor, or any other device capable of executing and responding to instructions. The processing device may run an operating system (OS) and one or more software applications running on the operating system. A processing device may also access, store, manipulate, process, and generate data in response to execution of software. For convenience of understanding, there are cases in which one processing device is used, but those skilled in the art will understand that the processing device includes a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that it can include. For example, a processing device may include a plurality of processors or a processor and a controller. Other processing configurations are also possible, such as parallel processors.

Software may include a computer program, code, instructions, or a combination of one or more of the foregoing, which configures a processing device to operate as desired or processes independently or collectively. The device can be commanded. Software and/or data may be any tangible machine, component, physical device, virtual equipment, computer storage medium or device, intended to be interpreted by or provide instructions or data to a processing device. can be embodied in Software may be distributed on networked computer systems and stored or executed in a distributed manner. Software and data may be stored on one or more computer readable media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer readable medium. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. The medium may continuously store programs executable by a computer or temporarily store them for execution or download. In addition, the medium may be various recording means or storage means in the form of a single or combined hardware, but is not limited to a medium directly connected to a certain computer system, and may be distributed on a network. Examples of the medium include magnetic media such as hard disks, floppy disks and magnetic tapes, optical recording media such as CD-ROM and DVD, magneto-optical media such as floptical disks, and ROM, RAM, flash memory, etc. configured to store program instructions. In addition, examples of other media include recording media or storage media managed by an app store that distributes applications, a site that supplies or distributes various other software, and a server. Examples of program instructions include high-level language codes that can be executed by a computer using an interpreter, as well as machine language codes such as those produced by a compiler.

As described above, although the embodiments have been described with limited examples and drawings, those skilled in the art can make various modifications and variations from the above description. For example, the described techniques may be performed in an order different from the method described, and/or components of the described system, structure, device, circuit, etc. may be combined or combined in a different form than the method described, or other components may be used. Or even if it is replaced or substituted by equivalents, appropriate results can be achieved.

Therefore, other implementations, other embodiments, and equivalents of the claims are within the scope of the following claims.

Claims (16)

A method for providing reliability of a computer device including at least one processor,
setting, by the at least one processor, a network interface for data linkage with an add-on module coupled to a manufacturing production facility;
collecting, by the at least one processor, data on the manufacturing production facility from the add-on module through the configured network interface;
pre-processing the collected data by the at least one processor; and
Storing, by the at least one processor, the preprocessed data in a blockchain system.
Reliability providing method comprising a. According to claim 1,
In the preprocessing step,
A method for providing reliability, characterized in that applying a smart contract provided by the supplier or encryption required by the supplier to the collected data. According to claim 1,
receiving, by the at least one processor, quality requirements from each of a plurality of suppliers and registering them on a supplier pool;
Reliability providing method further comprising a. According to claim 1,
Matching, by the at least one processor, quality requirements for each supplier registered on the supplier pool with data stored in the blockchain system.
Reliability providing method further comprising a. According to claim 4,
Processing, by the at least one processor, discount rate negotiation between a supplier and a producer according to the matching
Reliability providing method further comprising a. According to claim 4,
Transmitting, by the at least one processor, delivery destination information of a matching delivery destination according to the matching to a production management system of a producer.
Reliability providing method further comprising a. According to claim 6,
Updating, by the at least one processor, Bill Of Distribution (BOD) information for a corresponding product of the producer.
Reliability providing method further comprising a. According to claim 6,
Registering, by the at least one processor, whether the product manufactured by the producer is normally delivered to the matched delivery destination, whether or not the delivery destination updates normally
Reliability providing method further comprising a. According to claim 6,
Processing so that the supplier settles the cost to the producer using a smart contract as normal delivery of the product of the producer to the supplier is confirmed by the at least one processor.
Reliability providing method further comprising a. A computer program stored in a computer readable recording medium to be combined with a computer device to execute the method of any one of claims 1 to 9 on the computer device. A computer readable recording medium on which a computer program for executing the method of any one of claims 1 to 9 is recorded on a computer device. at least one processor implemented to execute instructions readable by a computer device;
including,
by the at least one processor,
Set up a network interface for data linkage with add-on modules coupled to manufacturing production facilities,
Collecting data on the manufacturing production facility from the add-on module through the set network interface;
Preprocessing the collected data,
Storing the preprocessed data in a blockchain system
Characterized by a computer device. According to claim 12,
For the pre-processing, by the at least one processor,
Applying a smart contract provided by the supplier or encryption required by the supplier to the collected data
Characterized by a computer device. According to claim 12,
by the at least one processor,
Matching the quality requirements of each supplier registered on the supplier pool with the data stored in the blockchain system
Characterized by a computer device. According to claim 14,
by the at least one processor,
Handling discount rate negotiations between suppliers and producers according to the above matching
Characterized by a computer device. According to claim 14,
by the at least one processor,
Delivering the supplier information of the matched supplier according to the above matching to the producer's production management system
Characterized by a computer device.

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