JP2023107561A - Fraud checking system and fraud checking method - Google Patents

Abstract

To provide a fraud checking system and a fraud checking method to appropriately check for a fraud involving a material containing a recycled material.SOLUTION: In an ecosystem 1 configured to appropriately check for a fraud involving a material containing a recycled material, a storage resource 33 stores specification data based on specification spectral data, that is spectral data on a material containing a recycled material which is to be produced and contains a recycled material, shipment data based on shipment spectral data, that is spectral data on the material containing the recycled material shipped from a raw material supplier that produces the material containing the recycled material, or received data based on received spectral data, that is spectral data on the material containing the recycled material received from the raw material supplier in a manufacturer that carries out manufacturing or processing using the material containing the recycled material. A processor 32 is configured to determine a fraud involving the material containing the recycled material received by the manufacturer on the basis of the specification data and the shipment data or the received data.SELECTED DRAWING: Figure 2

Description

TECHNICAL FIELD The present invention relates to a technique for confirming fraudulent use of raw materials containing recycled materials (materials containing recycled materials).

As a technique for preventing fraud in a supply chain, there is a technique disclosed in Patent Document 1. In the abstract of Patent Document 1, it is stated that "authenticity can be determined by reading the image information of the label, and it can be proved that the image information of the label and the shipping-related information are genuinely linked. To provide a logistics management technology A logistics management method using a machine-readable information carrier and a label on which shipping-related information is printed, comprising the steps of capturing an image of the information carrier and shipping-related information on the label; A step of extracting feature point data and shipping-related information data from information, a step of linking the extracted shipping-related information data with the feature point data as a file name and storing the extracted shipping-related information data in a cloud server, and information provided with a dedicated application. Using a terminal, an image of the information carrier on the label is imaged, feature point data is extracted from the acquired image information, authenticity is determined by comparing the feature point data with the feature point data stored in the cloud server, and shipping-related information is obtained. and a step of enabling confirmation of data." is disclosed.

JP 2020-177445 A

In recent years, the use of materials containing recycled materials has been promoted in order to promote a circular economy, and there is a demand to prevent fraudulent activities such as disguising materials containing recycled materials. However, the technology disclosed in Patent Literature 1 cannot solve fraudulent use of materials containing recycled materials.

The present invention has been made in view of the above circumstances, and an object of the present invention is to provide a technique capable of appropriately confirming fraudulent use of materials containing recycled materials.

In order to achieve the above object, an unauthorized confirmation system according to one aspect is an unauthorized confirmation system having a processor system having one or more processors and a storage resource, wherein the storage resource is a recycled material to be generated. Specification data based on specification spectrum data, which is spectrum data of materials containing recycled materials, and shipment data based on shipment spectrum data, which is spectrum data of materials containing recycled materials shipped from raw material suppliers that generate materials containing recycled materials, or received data based on received spectrum data, which is spectral data of the recycled material-containing material received from the raw material supplier, in a manufacturer that manufactures or processes the recycled material-containing material; Based on the data and the shipping data or the receiving data, it is determined whether the recycled material-containing material received by the manufacturer is fraudulent.

Advantageous Effects of Invention According to the present invention, it is possible to appropriately confirm fraudulent use of materials containing recycled materials.

FIG. 1 is a diagram illustrating an outline of an ecosystem according to the first embodiment. FIG. 2 is an overall configuration diagram of the ecosystem according to the first embodiment. FIG. 3 is a flowchart for explaining fraud confirmation processing in the ecosystem according to the first embodiment. FIG. 4 is a diagram illustrating an outline of an ecosystem according to the second embodiment. FIG. 5 is a flowchart for explaining fraud confirmation processing in the ecosystem according to the second embodiment.

Embodiments will be described with reference to the drawings. It should be noted that the embodiments described below do not limit the invention according to the scope of claims, and that all of the elements described in the embodiments and their combinations are essential to the solution of the invention. is not limited.

<First Embodiment>
First, an overview of the ecosystem according to the first embodiment will be described.

FIG. 1 is a diagram illustrating an outline of an ecosystem according to the first embodiment.

The ecosystem is a part of the structure that realizes the circular economy, and the ecosystem includes raw material suppliers that use recycled materials to produce recycled material-containing materials (hereinafter referred to as "containing materials") and cloud services. A cloud provider that provides the content and a manufacturing (processing) maker (hereinafter referred to as a manufacturing maker) that manufactures (processes) products using the contained materials are involved. The raw material supplier has a raw material supplier system 10 and facilities for producing recycled material-containing materials from recycled materials. The manufacturer has facilities for manufacturing products from materials containing recycled materials, and the manufacturer system 50 .

The manufacturer system 50 of the manufacturer stores, in the cloud server 30 of the cloud provider, spectrum data (specification data) indicating the specification of the containing material that is the reference for the containing material to be generated for which the raw material supplier is requested to generate. (Fig. 1 (1)). In the present embodiment, the specification data is, for example, spectroscopic data measured from a preliminarily prepared standard containing material.

Next, the raw material supplier system 10 of the raw material supplier generates the containing material to be generated requested by the manufacturer from the cloud server 30, and measures the spectrum data (shipment data) of the generated containing material to be shipped (Fig. 1(2)). Next, the raw material supplier system 10 transmits the shipment data to the cloud server 30, and transmits an instruction of analysis conditions for analysis processing that enables extracting feature amounts from the shipment data.

Next, the cloud server 30 compares the data after the analysis processing has been performed on the specification data and the data after the analysis processing has been performed on the shipping data, and the content material to be shipped satisfies the specifications. By determining whether or not the contained material can be shipped (FIG. 1 (4)), the determination result (shipment availability result) is transmitted to the raw material supplier system 10 (FIG. 1 (5) ).

Next, the raw material supplier system 10 displays the shipping availability result. The raw material supplier will ship the created containing material to the manufacturer if it is possible to ship it.

When the manufacturer receives the contained material shipped from the raw material supplier, the manufacturer system 50 measures the spectrum data (received data) of the received contained material (FIG. 1 (6)). The manufacturer system 50 then transmits the received data to the cloud server 30 ((7) in FIG. 1).

Next, the cloud server 30 determines whether or not the received contained material can be accepted for manufacturing (acceptability) (FIG. 1 (8)), and sends the determination result (acceptability result) to the manufacturer system 50. Send ((9) in FIG. 1). Here, as a judgment of acceptability, the analysis data after analysis processing is performed on the specification data is compared with the analysis data after analysis processing is performed on the received data. It may be determined whether or not there is any fraud, and the analysis data after analysis processing has been performed on the specification data is compared with the analysis data after analysis processing has been performed on the shipment data, It may be determined whether or not there is any illegality in the contained materials received, and the analysis data after analysis processing has been performed on the shipping data and the analysis data after analysis processing has been performed on the received data. A comparison may be made to determine whether the received inclusions are fraudulent.

Manufacturer system 50 then displays the acceptance result. In the manufacturer, if the acceptance is possible, the product will be manufactured by the manufacturing facility using the received contained material.

<System configuration>
FIG. 2 is an overall configuration diagram of the ecosystem according to the first embodiment.

Ecosystem 1 is an example of an unauthorized confirmation system, and includes raw material supplier system 10 , manufacturer system 50 , and cloud server 30 . The raw material supplier system 10, the manufacturer system 50, and the cloud server 30 are communicably connected via a network (not shown).

<Raw material supplier system 10>
The raw material supplier system 10 is an example of a processor system and includes a processing device 11 , a spectrum measurement device 16 and an input/output device 19 .

The input/output device 19 includes, for example, an input device such as a mouse and a keyboard, and a display device such as a display, receives information input by the user, and displays and outputs a user interface containing various information.

The processing device 11 is, for example, a computer such as a PC (Personal Computer), and includes a communication module 12 , a processor 13 , a storage resource 14 and an input/output module 15 .

The communication module 12 is, for example, a wired LAN card or a wireless LAN card, and communicates with other devices (eg, manufacturer system 50, cloud server 30, etc.) via a network.

The processor 13 executes various processes according to programs stored in the storage resource 14 .

The storage resource 14 stores a program to be executed by the processor 13 and various information used by this program. The storage resource 14 may be, for example, a semiconductor memory, a flash memory, a HDD (Hard Disk Drive), an SSD (Solid State Drive), or the like, and may be a volatile type memory or a nonvolatile type memory.

The input/output module 15 inputs/outputs data to/from the spectrum measuring device 16 and the input/output device 19 .

The spectrum measuring device 16 is a device that irradiates a measurement target (in this embodiment, the containing material 100 to be shipped) with light and measures the spectrum of reflected light, transmitted light, or the like. By measuring the spectrum of the object to be measured, information on the composition of the object to be measured or information resulting from the composition can be obtained. The wavelength used for measurement may be, for example, a wavelength in at least part of the near-infrared wavelength range (800 to 2500 nm). The spectrum measurement device 16 may be, for example, a handheld device.

The spectrum measurement device 16 has a light source 18 and a detection section 17 . A light source 18 generates light in a predetermined wavelength range for irradiating the object to be measured. The detection unit 17 detects light obtained by irradiating the object to be measured with light.

Bar code information (for example, QR code (registered trademark)) may be added and managed. It is good also as a structure which can measure by. With such a configuration, the ID and the spectrum data of the containing material 100 corresponding to the ID can be appropriately acquired, and erroneous acquisition of the spectrum data, falsification, and the like can be prevented.

<Manufacturer system 50>
The manufacturer system 50 is an example of a processor system and includes a processing device 51 , a spectrum measuring device 56 and an input/output device 59 .

The input/output device 59 includes, for example, an input device such as a mouse and a keyboard, and a display device such as a display, receives information input by the user, and displays and outputs a user interface containing various information.

The processing device 51 is, for example, a computer such as a PC, and includes a communication module 52 , a processor 53 , a storage resource 54 and an input/output module 55 .

The communication module 52 is, for example, a wired LAN card or a wireless LAN card, and communicates with other devices (eg, raw material supplier system 10, cloud server 30, etc.) via a network.

The processor 53 executes various processes according to programs stored in the storage resource 54 .

The storage resource 54 stores a program to be executed by the processor 53 and various information used in this program. The storage resource 54 may be, for example, a semiconductor memory, a flash memory, an HDD, an SSD, or the like, and may be a volatile type memory or a nonvolatile type memory.

The input/output module 55 inputs and outputs data between the spectrum measuring device 56 and the input/output device 59 .

The spectrum measuring device 56 measures the object to be measured (in this embodiment, it is the received containing material 110, which is the same as the shipped containing material 100 if there is no fraud at the time of shipment or during delivery). It is a device that irradiates light on a surface and measures the spectrum of reflected light and transmitted light. The wavelength used for measurement may be, for example, a wavelength in at least part of the near-infrared wavelength range (800 to 2500 nm). The spectrum measurement device 56 may be, for example, a handheld device. The spectrum measuring device 56 may be of the same model as the spectrum measuring device 16, or may be of the same standard.

The spectrum measuring device 56 has a light source 58 and a detector 57 . A light source 58 generates light in a predetermined wavelength range for irradiating the object to be measured. The detection unit 57 detects light obtained by irradiating the object to be measured with light.

The spectrum measurement device 56 may be configured to measure barcode information corresponding to the containing material 110 and the spectrum of the containing material 110 in one operation. With such a configuration, the ID of the containing material 110 and the spectrum data of the containing material 110 corresponding to the ID can be appropriately acquired, and erroneous acquisition of the spectrum data can be prevented.

<Cloud server 30>
The cloud server 30 is an example of a processor system and an example of a determination system.

The communication module 31 is, for example, a wired LAN card or a wireless LAN card, and communicates with other devices (eg, raw material supplier system 10, manufacturer system 50, etc.) via a network.

The processor 32 executes various processes according to programs stored in the storage resource 33 .

The storage resource 33 stores a program to be executed by the processor 32 and various information used by this program. The storage resource 33 may be, for example, a semiconductor memory, a flash memory, an HDD, an SSD, or the like, and may be a volatile type memory or a nonvolatile type memory.

Next, fraud confirmation processing in the ecosystem according to the first embodiment will be described.

FIG. 3 is a flowchart for explaining fraud confirmation processing in the ecosystem according to the first embodiment.

In the manufacturer system 50, spectroscopic spectrum data (specification spectroscopic spectrum data: specification spectrum data, an example of specification data) indicating the specifications of the inclusion material 110 to be generated by the raw material supplier is prepared in the storage resource 54 (step S1). Here, the specification spectroscopic spectrum data may be, for example, spectroscopic spectrum data measured from a prototype of the containing material to be produced by the raw material supplier and measured by the spectrum measuring device 56, and the processor 53 The spectroscopic spectrum data corresponding to the specification of the containing material 110 to be generated by the raw material supplier may be simulated spectroscopic spectrum data, or the spectroscopic spectrum data may be selected from previously prepared spectroscopic spectrum data of a plurality of containing materials. good.

Next, the processor 53 transmits the prepared spectroscopic spectrum data to the cloud server 30 via the communication module 52, and causes the cloud server 30 to store the data (step S2). Note that the processor 53 may include the spectroscopic spectrum data in a production request for the containing material to the raw material supplier and transmit it to the cloud server 53. In this case, the cloud server 53 sends these production requests to the raw material supplier. It may be transferred to system 10 .

Next, at the raw material supplier, the containing material requested by the manufacturer is produced using recycled material or virgin material. Note that the raw material supplier system 10 may receive, for example, the raw material supplier system 10 from the manufacturer system 50 via the cloud server 30 and display the content material generation request from the manufacturer and display it on the input/output device 19. may be notified by means of

Next, at the raw material supplier, spectroscopic spectrum data (shipping spectroscopic data: shipping spectroscopic data, an example of shipping data) of the containing material to be shipped is generated by the spectrum measuring device 16 and is measured. The processor 13 of the processing device 11 acquires the shipping spectrum data measured by the spectrum measuring device 16 (step S3).

Next, the processor 13 transmits the acquired shipment spectroscopic data to the cloud server 30 via the communication module 12, and causes the cloud server 30 to store the data (step S4).

Next, the processor 32 of the cloud server 30 performs analysis processing for enabling extraction of a predetermined feature amount from the shipment spectroscopic data, and obtains analysis data (second analysis data: shipment data analysis data) ( step S5). Here, the analytical data may be spectral data that has been subjected to analytical processing, or feature amounts (for example, peak positions, physical quantities of peaks, etc.) extracted from the spectral data. Further, the analysis process may be an analysis process according to preset analysis conditions, and the analysis results of the shipment spectroscopic data are sequentially provided to the raw material supplier system 10, and the raw material supplier system 10 requests a change in the analysis conditions. Analysis processing may be performed in accordance with analysis conditions that are adjusted by sequentially receiving them. Here, the analysis conditions are conditions for removing noise components of spectral data (noise removal conditions), conditions for correcting baselines of spectral data (baseline correction conditions), separation and sharpening of spectral data peaks, and It may include at least one of the conditions for sharpening (peak separation/sharpening conditions). The noise removal condition may be, for example, smoothing Savitzky-Golay, and the baseline correction condition may be SNV (Standard Normal Variate), MSC (Multiplicative Scatter Correction), offset correction, or linear correction. may be performed, and as the peak separation/sharpening condition, either differential processing or MCR (Multivariate Curve Resolution) may be performed.

Next, the processor 32 of the cloud server 30 saves the shipment spectrum data, the second analysis data, and the analysis conditions of the analysis process in the storage resource 33 (step S6). In the present embodiment, the processor 32 of the cloud server 30 stores, for example, the shipment spectroscopic data, the second analysis data, and the analysis conditions of the analysis processing as an ID that identifies the containing material to be shipped. It is stored in the storage resource 33 in association with an ID indicating an individual or a type or a delivery ID in delivery of the contained material.

Next, the processor 32 of the cloud server 30 performs analysis processing on the specification spectroscopic spectrum data based on the analysis conditions saved in step S6 corresponding to the inclusion material generated according to the specification, and analyzes Data (first analysis data: specification data analysis data) is obtained (step S7).

Next, the processor 32 of the cloud server 30 compares the first analysis data and the second analysis data, and determines whether the generated containing material may be shipped (specifically, if the generated containing material conforms to the specifications). is satisfied), and the result of the shipment is transmitted to the raw material supplier system 10 (step S8). Here, in the present embodiment, when the first analysis data and the second analysis data are the same or the difference is within a predetermined range, it is determined that the generated contained material satisfies the specifications (shipment possible). do.

When the processor 13 of the processing device 11 of the raw material supplier system 10 receives the shipping approval/disapproval result, it displays the shipping approval/disapproval result on the input/output device 19 (step S9). By this process, it is possible to confirm that there is no illegality in the production of the included material to be shipped.

As a result, if it is possible to ship, the raw material supplier instructs the shipping company to deliver the generated contained material to the manufacturer, and the shipping company receiving the instruction distributes the contained material to the manufacturer. (step S10). Here, when delivering the contained material, an ID identifying the contained material to be delivered (an ID identifying the individual or type of the contained material or an ID indicating the delivery (delivery ID)) is added by, for example, a bar code (eg, QR code (registered trademark)) or the like. After this, the manufacturer will receive the inclusions from the delivery company.

In the manufacturer system 50 , the spectrum measurement device 56 measures the received spectrum data of the containing material (received spectrum data). The processor 53 of the processing device 51 acquires received spectral data measured by the spectrum measuring device 56 (step S11). Note that, in this embodiment, the processor 53 also acquires an ID that identifies the delivered content. This ID may be acquired by scanning a bar code or the like, or may be acquired by input by a user or the like.

Next, the processor 53 transmits the obtained received spectroscopic data to the cloud server 30 via the communication module 52, and stores it in the cloud server 30 (step S12).

Next, the processor 32 of the cloud server 30 performs analysis processing on the received spectroscopic data based on the analysis conditions saved in step S6 corresponding to the received inclusion material, and analyzes the analysis data (third analysis data : received data analysis data) is obtained (step S13). Here, since analysis processing is performed on the spectrum data under the same analysis conditions, it is possible to appropriately perform comparison based on the analysis data.

Next, the processor 32 of the cloud server 30 confirms whether or not the received content material has been tampered with, and determines whether or not it can be accepted (if there is no tampering, it is determined that it can be accepted; If so, it is determined that the product cannot be accepted), and the result of whether or not the product can be accepted is sent to the manufacturer system 50 (step S14).

Here, in the unauthorized confirmation, the processor 32 determines whether the received contained material corresponds to the specification based on the third analysis data and the first analysis data based on the specification spectroscopic spectrum (matches the specification or It may be confirmed whether the illegality has been committed by checking whether the data is within the permissible range of the specification. According to this confirmation method, it is possible to appropriately grasp whether there has been fraud in the production of the contained material by the raw material supplier or in the replacement of the contained material at the time of delivery.

Further, the processor 32 determines whether or not the received inclusion material 110 is the same as the shipped inclusion material 100 based on the third analysis data and the second analysis data based on the shipment spectroscopic spectrum. You can check if According to this confirmation method, it is possible to appropriately grasp that there has been an illegality such as replacement of the contained material at the time of delivery.

In addition, the processor 32 determines whether or not fraud has been committed based on the first analysis data based on the specification spectrum and the second analysis data based on the shipment spectrum, based on whether the shipped contained material conforms to the specifications. can be checked. According to this confirmation method, it is possible to appropriately grasp that there has been fraud in the production of the contained material by the raw material supplier.

When the processor 53 of the processing device 51 of the manufacturer system 50 receives the acceptance result, it displays the acceptance result on the input/output device 59 (step S15). Thereby, the user of the manufacturer can appropriately grasp whether or not the received inclusion material 110 can be accepted. After receiving the contained material, the manufacturer manufactures and processes products using the contained material.

<Second embodiment>
Next, an ecosystem according to the second embodiment will be described.

First, an overview of the ecosystem according to the second embodiment will be described.

FIG. 4 is a diagram illustrating an outline of an ecosystem according to the second embodiment.

Like the ecosystem according to the first embodiment, the ecosystem according to the second embodiment involves raw material suppliers, cloud providers, and manufacturers.

The manufacturer system 50A of the manufacturer stores, in the cloud server 30A of the cloud provider, spectrum data (specification data) indicating the specification of the contained material, which serves as a reference for the contained material to be generated by the raw material supplier (Fig. 4 (1)).

Next, the raw material supplier system 10A of the raw material supplier receives the specification data from the cloud server 30A as a request to generate the contained material specified by the manufacturer ((2) in FIG. 4).

The raw material supplier produces the requested inclusions with production equipment. Next, the raw material supplier system 10A measures the generated spectrum data (shipment data) of the contained material to be shipped, and executes analysis processing for the shipment data ((3) in FIG. 4). Next, the raw material supplier system 10A compares the analysis data after performing the analysis processing on the shipment data with the analysis data after performing the analysis processing of the same analysis conditions on the specification data, By determining whether or not the target contained material satisfies the specifications, it is determined whether or not the contained material can be shipped, and the result of whether or not the contained material can be shipped is output ((4) in FIG. 4). After that, when the result of shipping is possible, the raw material supplier ships the generated containing material to the manufacturer.

Next, the raw material supplier system 10A transmits the shipping data and the analysis conditions of the analysis process to the cloud server 30A ((5) in FIG. 4). In the present embodiment, the raw material supplier system 10A transmits the shipment data and the analysis conditions of the analysis processing in association with an ID capable of identifying the corresponding contained material.

When the manufacturer receives the containing material shipped from the raw material supplier, the manufacturer system 50A acquires shipping data and analysis conditions corresponding to the received containing material from the cloud server 30A ((6) in FIG. 4). ).

Next, the manufacturer system 50A measures received spectrum data (receiving data) for the containing material, and executes analysis processing on the received data based on the received analysis conditions ((7) in FIG. 4).

Next, the manufacturer system 50A determines whether or not the received contained material can be accepted for manufacturing (acceptability), and outputs the determination result (acceptability result) ((8) in FIG. 4). Here, as a judgment of acceptability, the analysis data after analysis processing is performed on the specification data is compared with the analysis data after analysis processing is performed on the received data. It may be determined whether or not there is any fraud, and the analysis data after analysis processing has been performed on the specification data is compared with the analysis data after analysis processing has been performed on the shipment data, It may be determined whether or not there is any illegality in the contained materials received, and the analysis data after analysis processing has been performed on the shipping data and the analysis data after analysis processing has been performed on the received data. A comparison may be made to determine whether the received inclusions are fraudulent. After that, the manufacturer manufactures the product using the manufacturing facility using the received contained material, if the received material is acceptable.

<System configuration>
The hardware configuration of the raw material supplier system 10A, the manufacturer system 50A, and the cloud server 30A of the ecosystem according to the second embodiment is similar to that of the raw material supplier system 10 and the manufacturer system 50 according to the first embodiment shown in FIG. and the cloud server 30 . In this embodiment, reference numerals in FIG. 2 are used for the internal configurations of the raw material supplier system 10A, the manufacturer system 50A, and the cloud server 30A for convenience.

Next, fraud confirmation processing in the ecosystem according to the second embodiment will be described.

FIG. 5 is a flowchart for explaining fraud confirmation processing in the ecosystem according to the second embodiment.

In the manufacturer system 50A, spectroscopic spectrum data (specification spectroscopic spectrum data: specification spectrum data, an example of specification data) indicating the specifications of the containing material 110 to be produced by the raw material supplier is prepared in the storage resource 54 (step S21). Here, the specification spectroscopic spectrum data may be, for example, spectroscopic spectrum data measured from a prototype of the containing material to be produced by the raw material supplier and measured by the spectrum measuring device 56, and the processor 53 The spectroscopic spectrum data corresponding to the specification of the containing material 110 to be generated by the raw material supplier may be simulated spectroscopic spectrum data, or the spectroscopic spectrum data may be selected from previously prepared spectroscopic spectrum data of a plurality of containing materials. good.

Next, the processor 53 transmits the prepared spectroscopic spectrum data to the cloud server 30 via the communication module 52, and causes the cloud server 30 to store the data (step S22).

Next, at the raw material supplier, the containing material requested by the manufacturer is produced using recycled material or virgin material. Note that the raw material supplier system 10A may receive, for example, the raw material supplier system 10A from the manufacturer system 50A via the cloud server 30A and display the content material generation request from the manufacturer on the input/output device 19. may be notified by means of

Next, in the raw material supplier, the spectroscopic spectrum data (shipping spectroscopic data: shipping spectroscopic data, an example of shipping data) of the contained material to be generated and shipped is measured by the spectrum measuring device 16 . The processor 13 of the processing device 11 acquires the shipping spectrum data measured by the spectrum measuring device 16 (step S23).

Next, the processor 13 performs analysis processing for extracting a predetermined feature amount from the shipment spectral data, and obtains analysis data (second analysis data: shipment data analysis data) (step S24). Here, the analytical data may be spectral data that has been subjected to analytical processing, or feature amounts (for example, peak positions, physical quantities of peaks, etc.) extracted from the spectral data. In addition, the analysis processing may be analysis processing according to preset analysis conditions, and analysis according to the set analysis conditions by outputting the analysis results for the shipping spectroscopic data and sequentially accepting changes in the analysis conditions. It may be processing. Here, the analysis conditions are conditions for removing noise components of spectral data (noise removal conditions), conditions for correcting baselines of spectral data (baseline correction conditions), separation and sharpening of spectral data peaks, and It may include at least one of the conditions for sharpening (peak separation/sharpening conditions). As the noise removal condition, for example, smoothing Savitzky-Golay may be performed, and as the baseline correction condition, any one of SNV, MSC, offset correction, and linear correction may be performed, and peak separation may be performed. - As a sharpening condition, either differential processing or MCR may be executed.

Next, the processor 13 downloads the specification spectrum of the specification corresponding to the contained material to be shipped from the cloud server 30A (step S25). Next, the processor 13 performs analysis processing on the specification spectroscopic spectrum based on the same analysis conditions as in step S24 to obtain analysis data (first analysis data: specification data analysis data) (step S26).

Next, the processor 13 compares the first analysis data and the second analysis data, and determines whether the generated contained material may be shipped (specifically, whether the generated contained material satisfies the specifications). or not), and outputs the result of shipment availability to the input/output device 19 (step S27). By this process, it is possible to confirm that there is no illegality in the production of the included material to be shipped.

Next, the processor 13 saves the shipment spectral data, the second analysis data, and the analysis conditions of the analysis processing in the cloud server 30A (step S28). In the present embodiment, the processor 13 stores, for example, the shipping spectroscopic data, the second analysis data, and the analysis conditions of the analysis processing as an ID that identifies the containing material to be shipped, for example, the ID of the containing material or the containing material is stored in the cloud server 30A in association with the delivery ID and the like.

After that, when the result of shipping is possible, the raw material supplier instructs the shipping company to deliver the generated contained material to the manufacturer, and the shipping company receiving the instruction The material is delivered to the manufacturer (step S29). After this, the manufacturer will receive the inclusions from the delivery company.

In the manufacturer system 50A, the spectrum measurement device 56 measures received spectroscopic spectrum data of the containing material (received spectroscopic data: received spectrum data, an example of received data). The processor 53 of the processing device 51 acquires the received spectral data measured by the spectrum measuring device 56 (step S30).

Next, the processor 53 acquires the analysis conditions corresponding to the accepted contained material from the cloud server 30A, performs analysis processing on the received spectral data based on the acquired analysis conditions, and analyzes the analysis data (third analysis Data: received data analysis data) is obtained (step S31).

Next, the processor 53 checks whether or not the received contained material has been tampered with, and determines whether or not it can be accepted. determination), and outputs the result of acceptability to the input/output device 59 (step S32). Thereby, the user of the manufacturer can appropriately grasp whether or not the received inclusion material 110 can be accepted. After receiving the contained material, the manufacturer manufactures and processes products using the contained material.

Here, in the fraud confirmation, the processor 53 determines whether the received contained material corresponds to the specification based on the third analysis data and the first analysis data analyzed under the same analysis conditions as the specification spectroscopic spectrum. It may be confirmed whether or not the illegality has been committed by whether or not (whether it matches the specification or is within the allowable range of the specification). Here, the spectroscopic spectrum data may be acquired from the storage resource 54 or the cloud server 30A. According to this confirmation method, it is possible to appropriately grasp whether there has been fraud in the production of the contained material by the raw material supplier or in the replacement of the contained material at the time of delivery.

Further, the processor 53 determines whether or not fraud has occurred based on the third analysis data and the second analysis data based on the shipment spectroscopic data, based on whether the received inclusion material is the same as the shipped inclusion material. can be checked. According to this confirmation method, it is possible to appropriately grasp that there has been an illegality such as replacement of the contained material at the time of delivery.

In addition, the processor 53 determines whether or not fraud has been committed based on the first analysis data based on the specification spectrum and the second analysis data based on the shipment spectrum, based on whether the shipped contained material conforms to the specifications. can be checked. According to this confirmation method, it is possible to appropriately grasp that there has been fraud in the production of the contained material by the raw material supplier.

<Variation>
It should be noted that the present invention is not limited to the above-described embodiments, and can be modified appropriately without departing from the gist of the present invention. Also, the processes described below may be used in combination.

For example, in the above embodiment, an example of using a spectroscopic analysis device as a spectrum measurement device was shown, but the present invention is not limited to this, and any device capable of measuring a spectrum related to the composition of the contained material may be used. For example, it may be a mass spectrometer capable of detecting the mass spectrum of the contained material.

Further, in the above embodiment, the spectral measurement device 16 of the raw material supplier system 10 (10A) is used for the shipment spectroscopic data, but the delivery company that delivers the material containing the recycled material is similar to the spectral measurement device 16. A spectral measurement device having a function may be provided, and when the delivery company receives the recycled material-containing material from the raw material supplier for delivery, the delivery company's spectrum measurement device may measure the shipment spectroscopic data. By doing so, it is possible to prevent fraud such as alteration of the shipped spectroscopic data of the recycled material-containing material delivered by the raw material supplier. Moreover, the spectrum measuring device 16 does not need to be provided in the raw material supplier system 10 (10A). Further, in this case, when the material containing the recycled material is received by the manufacturer, the delivery company measures the received spectroscopic data of the material containing the recycled material using the spectrum measuring device of the delivery company, and the manufacturer system 50 (50A ). By doing so, the manufacturer system does not need to include the spectrum measuring device 56 .

Further, in the above embodiment, an example using spectrum data as specification data, shipping data, and receipt data was mainly shown, but the present invention is not limited to this, and specification data, shipping data, and receipt data , may be data of a predetermined feature amount included in spectral data obtained from spectral data.

Further, in the above-described first embodiment, the cloud server 30 may be provided in the manufacturer, or the functions of the cloud server 30 may be provided in the manufacturer system 50. In this case, the cloud server 30 and the processor 51 of the manufacturer's system may be configured by one computer.

Moreover, in the above embodiments, part or all of the processing performed by the processor may be performed by a hardware circuit. Also, the programs in the above embodiments may be installed from program sources. The program source may be a program distribution server or storage media (eg, portable storage media).

10, 10A... Raw material supplier system, 11... Processing device, 12... Communication module, 13... Processor, 14... Storage resource, 15... Input/output module, 16... Spectrum measuring device, 17... Detector, 18... Light source, 19... Input/output module 30, 30A Cloud server 31 Communication module 32 Processor 33 Storage resource 50, 50A Manufacturer system 51 Processing device 52 Communication module 53 Processor 54 Memory Resources 55 Input/output module 56 Spectrum measurement device 57 Detector 58 Light source 59 Input/output device

Claims (15)

An fraud verification system having a processor system having one or more processors and storage resources,
The storage resource is
Specification data based on specification spectrum data, which is spectrum data of materials containing recycled materials including recycled materials to be generated;
Shipment data based on shipment spectrum data, which is spectral data of materials containing recycled materials shipped from a raw material supplier that produces materials containing recycled materials, or in a manufacturer that manufactures or processes materials containing recycled materials, the raw material supplier Received data based on the received spectrum data, which is the spectrum data of the recycled material-containing material received from
The processor
A fraud confirmation system that determines whether or not the recycled material-containing material received by the manufacturer is fraudulent, based on the specification data and the shipping data or the receipt data. In the fraud confirmation system according to claim 1,
further comprising a raw material supplier system provided at the raw material supplier;
The raw material supplier system includes:
A fraud confirmation system that acquires the shipment spectrum data of the recycled material-containing material to be shipped and transmits it to the processor system. In the fraud confirmation system according to claim 2,
The raw material supplier system includes:
transmitting to the processor system a predetermined analysis condition for analysis processing that enables extraction of the feature quantity of the shipment spectrum data;
The processor system is
Specification data analysis data obtained by executing analysis processing under the predetermined analysis conditions on the specification data, and analysis data obtained by executing analysis processing under the predetermined analysis conditions on the shipment spectrum data or the received spectrum data. a fraud verification system for determining fraud with respect to materials containing recycled materials received by said manufacturer based on said manufacturer; In the fraud confirmation system according to claim 3,
The analysis conditions include noise removal conditions for removing noise components of the spectrum data, baseline correction conditions for correcting the baseline of the spectrum data, and peak separation/sharpening for separating and sharpening the peaks of the spectrum data. a fraud verification system including at least one of: In the fraud confirmation system according to claim 1,
further comprising a manufacturer system provided at the manufacturer;
The manufacturer system includes:
A fraud verification system that transmits to the processor system the received spectral data of the recycled material-containing material received from the raw material supplier. In the fraud confirmation system according to claim 1,
The processor system is
A fraud confirmation system, which is a manufacturer system provided in the manufacturer. In the fraud confirmation system according to claim 6,
further comprising a raw material supplier system provided at the raw material supplier;
The raw material supplier system includes:
Receiving specification spectrum data, which is spectrum data that is the specification of the recycled material-containing material to be generated, from the manufacturer system;
Acquiring the shipping spectrum data of the recycled material-containing material to be shipped, executing an analysis process under a predetermined analysis condition that enables extraction of a feature value for the shipping spectrum data, and generating shipping data analysis data;
generating specification data analysis data by executing analysis processing under the predetermined analysis conditions on the specification spectrum data;
An unauthorized confirmation system that determines whether or not the material containing the recycled material can be shipped from the raw material supplier to the manufacturer based on the specification data analysis data and the shipping data analysis data. In the fraud confirmation system according to claim 7,
The raw material supplier system includes:
transmitting the predetermined analysis conditions to the manufacturer system;
The manufacturer system includes:
Specification data analysis data obtained by executing analysis processing under the predetermined analysis conditions on the specification data, and analysis data obtained by executing analysis processing under the predetermined analysis conditions on the shipment spectrum data or the received spectrum data. a fraud verification system for determining fraud with respect to materials containing recycled materials received by said manufacturer based on said manufacturer; In the fraud confirmation system according to claim 1,
The fraud confirmation system, wherein the specification spectrum data, the shipment spectrum data, and the receipt spectrum data are spectrum data in at least a part of a wavelength range of 800 nm or more and 2500 nm or less. A fraud confirmation method by a fraud confirmation system having a processor system including one or more processors,
The processor system is
Receive a production request including specification data indicating the specifications of the recycled material-containing material to be produced from the manufacturer system of the manufacturer that manufactures or processes using the recycled material-containing material including the recycled material,
Acquiring shipment spectrum data, which is spectrum data of a recycled material-containing material generated by a raw material supplier based on the generation request,
An unauthorized confirmation method for outputting a determination result as to whether or not the material containing the recycled material can be shipped to the manufacturer based on the specification data and the shipment spectrum data. In the fraud confirmation method according to claim 10,
The fraud confirmation system
further having a judgment system;
The determination system is
An unauthorized confirmation method for determining whether or not the material containing recycled material can be shipped from the raw material supplier to the manufacturer based on the specification data and the shipment spectrum data, and transmitting the determination result to the processor system. In the fraud confirmation method according to claim 10,
The processor system is
An unauthorized confirmation method for determining whether or not the material containing the recycled material can be shipped from the raw material supplier to the manufacturer based on the specification data and the shipment spectrum data. An fraud verification system having a processor system having one or more processors and storage resources,
The storage resource is
A manufacturer that manufactures or processes materials containing recycled materials can extract feature values from received spectrum data, which is spectral data of materials containing recycled materials received from raw material suppliers that generate materials containing recycled materials, or received spectrum data. Store the received data analysis data that has been analyzed according to the predetermined analysis conditions,
The processor
Acquiring shipment spectrum data, which is spectrum data of the recycled material-containing material shipped from the raw material supplier,
A fraud confirmation system that determines whether or not the recycled material-containing material received by the manufacturer is fraudulent, based on the shipped spectrum data and the received spectrum data or the received data analysis data. In the fraud confirmation system according to claim 13,
The fraud confirmation system, wherein the processor acquires the received spectrum data from the processor system of the manufacturer and stores it in the storage resource. In the fraud confirmation system according to claim 13,
The processor
Based on the received data analysis data and the received data analysis data obtained by executing the analysis processing of the predetermined analysis conditions on the shipment spectrum data, fraudulent use of the recycled material-containing material received by the manufacturer is detected. Fraud confirmation system to judge.