WO2023139840A1

WO2023139840A1 - Fraud checking system and fraud checking method

Info

Publication number: WO2023139840A1
Application number: PCT/JP2022/033879
Authority: WO
Inventors: 祐介加賀; 琢也神林; 伸一谷口
Original assignee: 株式会社日立製作所
Priority date: 2022-01-24
Filing date: 2022-09-09
Publication date: 2023-07-27
Also published as: JP2023107561A

Abstract

The present invention makes it possible to appropriately check for fraud involving a material containing a recycled material. Provided is an ecosystem 1 including a cloud server 30 that includes one or more processors 32 and a storage resource 33, wherein the storage resource 33 stores specification data based on specification spectral data, that is, spectral data on a recycled material containing 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; and the processor 32 is configured to determine 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.

Description

Fraud Confirmation System and Fraud Confirmation Method

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

Patent Document 1 discloses a technique for preventing fraudulent acts in the supply chain. The summary of Patent Document 1 states, "Provide a logistics management technology that enables authenticity determination by reading image information on a label and that can prove that the image information on the label and shipping-related information are genuinely linked. A logistics management method using a machine-readable information carrier and a label on which shipping-related information is printed, comprising the steps of imaging the information carrier and shipping-related information on the label, extracting feature point data and shipping-related information data from the acquired image information, and extracting shipping-related information. a step of storing data in a cloud server with the feature point data as a file name; and a step of capturing an image of the information carrier on the label using an information terminal equipped with a dedicated application, extracting feature point data from the obtained image information, comparing the acquired image information with the feature point data stored in the cloud server, thereby performing authenticity determination and making it possible to confirm shipping-related information data.

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 fraud such as camouflaging 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 its purpose is to provide a technique that can appropriately confirm fraudulent use of materials containing recycled materials.

In order to achieve the above object, a fraud confirmation system according to one aspect is a fraud confirmation system having a processor system having one or more processors and a storage resource, wherein 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; received data based on the received spectrum data, which is the received spectrum data of the recycled material-containing material, and the processor determines whether the recycled material-containing material received by the manufacturer is fraudulent based on the specification data and the shipping data or the receiving data.

　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.

The embodiment 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 not all of the elements and combinations thereof described in the embodiments are essential to the solution of the invention.

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

FIG. 1 is a diagram explaining the overview of the ecosystem according to the first embodiment.

The ecosystem is a part of the structure that realizes a circular economy, and the ecosystem involves raw material suppliers that use recycled materials to produce materials containing recycled materials (hereinafter referred to as "contents"), cloud providers that provide cloud services, and manufacturing (processing) manufacturers (hereinafter referred to as "manufacturers") that manufacture (process) products using the contained materials. 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 inclusion material that is the basis of the inclusion 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 contained material to be generated requested by the manufacturer from the cloud server 30, and measures the spectrum data (shipment data) of the generated contained 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 determines whether or not the containing material to be shipped satisfies the specifications, thereby determining whether or not the containing material can be shipped (Fig. 1 (4)), and transmits the determination result (result of whether shipment is possible) 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) for 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 the received contained material can be accepted for manufacturing (acceptability) (Fig. 1 (8)), and transmits the determination result (acceptability result) to the manufacturer system 50 (Fig. 1 (9)). Here, as a judgment of whether or not the acceptance is possible, it is possible to judge whether or not there is any illegality in the received contained materials by comparing the analyzed data after the analytical processing of the specification data and the analytical data after the analytical processing of the received data. It may be determined whether or not the received content is fraudulent by comparing it with the analysis data.

Next, the manufacturer system 50 displays the acceptability 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.

The ecosystem 1 is an example of an unauthorized confirmation system, and includes a raw material supplier system 10, a manufacturer system 50, and a 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 the programs stored in the storage resource 14.

The storage resource 14 stores programs to be executed by the processor 13 and various information used in these programs. 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 either a volatile type memory or a nonvolatile type memory.

The input/output module 15 inputs and outputs data between the spectrum measurement device 16 and the input/output device 19 .

The spectrum measuring device 16 is a device that irradiates a measurement object (in this embodiment, the containing material 100 to be shipped) with light and measures the spectrum of reflected light, transmitted light, and 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.

Here, barcode information (for example, QR code (registered trademark)) indicating an ID (product ID or delivery ID) that can identify the containing material 100 to be shipped or the packing material that packs the containing material 100 may be added and managed. In this case, the spectrum measurement device 16 may be configured to measure the barcode information corresponding to the containing material 100 and the spectrum data of the containing material 100 in one operation. 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 measurement 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 the programs stored in the storage resource 54.

The storage resource 54 stores programs to be executed by the processor 53 and various information used by these programs. 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 is a device that irradiates a measurement target (in this embodiment, the received contained material 110, which is the same as the shipped contained material 100 if there is no fraud at the time of shipment or during delivery), and measures the spectrum of reflected light, transmitted light, etc. 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 measurement device 56 has a light source 58 and a detection section 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 programs to be executed by the processor 32 and various information used by these programs. 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 by the spectrum measurement device 56 from a prototype of the containing material to be produced by the raw material supplier, spectroscopic spectrum data obtained by the processor 53 simulating the spectroscopic spectrum data corresponding to the specifications of the containing material 110 to be produced by the raw material supplier, or selected from spectroscopic spectrum data of a plurality of preliminarily prepared containing materials.

Next, the processor 53 transmits the prepared spectroscopic spectrum data to the cloud server 30 via the communication module 52, and stores it in the cloud server 30 (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 may transfer these production requests to the raw material supplier system 10.

Next, at the raw material supplier, the contained material requested by the manufacturer is produced using recycled or virgin materials. Note that the request for generation of the contained material from the manufacturer may be received by the raw material supplier system 10 from the manufacturer system 50 via the cloud server 30 and displayed on the input/output device 19, or may be notified by other means.

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 generated by the spectrum measuring device 16 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 stores it in the cloud server 30 (step S4).

Next, the processor 32 of the cloud server 30 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 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 processing may be analysis processing in accordance with preset analysis conditions, or may be analysis processing in accordance with analysis conditions adjusted by sequentially providing the raw material supplier system 10 with analysis results for shipment spectroscopic data and sequentially receiving changes in the analysis conditions from the raw material supplier system 10. Here, the analysis conditions may include at least one of conditions for removing noise components of spectral data (noise removal conditions), conditions for correcting baselines of spectral data (baseline correction conditions), and conditions for separating and sharpening peaks of spectral data (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 (Standard Normal Variate), MSC (Multiplicative Scatter Correction), offset correction, and linear correction may be performed. Variate Curve Resolution) may be executed.

Next, the processor 32 of the cloud server 30 saves the shipping spectral 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 process in the storage resource 33 in association with an ID that identifies the contained material to be shipped, for example, an ID that indicates the individual or type of the contained material, or a delivery ID in the delivery of the contained material.

Next, the processor 32 of the cloud server 30 performs analysis processing on the specification spectrum data based on the analysis conditions saved in step S6, which correspond to the inclusion material generated in accordance with the specification, and obtains analysis data (first analysis data: specification data analysis data) (step S7).

Next, the processor 32 of the cloud server 30 compares the first analysis data and the second analysis data, determines whether or not the generated contained material can be shipped (specifically, whether or not the generated contained material satisfies the specifications), and transmits the shipping decision result 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 inclusion material satisfies the specifications (shippable).

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, for example, instructs the shipping company to deliver the generated contained material to the manufacturer, and the instructed shipping company delivers the contained material to the manufacturer (step S10). Here, when delivering the contained material, an ID that identifies the contained material to be delivered (an ID that identifies the individual or type of the contained material, or an ID that indicates the delivery (delivery ID)) is added to the contained material or the packing material that packs the contained material, for example, using a bar code (for example, QR code (registered trademark)). After this, the manufacturer will receive the inclusions from the delivery company.

In the manufacturer system 50 , the received spectroscopic data of the containing material (received spectroscopic data) is measured by the spectrum measuring device 56 . 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 stored in step S6 corresponding to the received inclusion material, and obtains analysis data (third analysis data: received data analysis data) (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 checks whether or not the received contained material has been tampered with, determines whether or not it can be accepted (if there is no tampering, it determines that it can be accepted, and if there is tampering, it determines that it cannot be accepted), and transmits the result of whether or not it can be accepted to the manufacturer system 50 (step S14).

Here, in the confirmation of fraud, the processor 32 may confirm whether or not the received contained material conforms to the specifications (matches the specifications or falls within the permissible range of the specifications) based on the third analysis data and the first analysis data based on the spec spectrum. 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.

In addition, the processor 32 may confirm whether fraud has been committed by determining whether the received contained material 110 is the same as the shipped contained material 100 based on the third analysis data and the second analysis data based on the shipment spectroscopic spectrum. 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 may confirm whether or not fraud has been committed based on the first analysis data based on the specification spectroscopic spectrum and the second analysis data based on the shipping spectroscopic spectrum, based on whether or not the shipped contained material conforms to the specifications. 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.

Upon receiving the acceptance result, the processor 53 of the processing device 51 of the manufacturer system 50 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 outline of the ecosystem according to the second embodiment will be explained.

FIG. 4 is a diagram explaining the overview of the 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 is the standard of the contained material for which the raw material supplier is requested to generate (Fig. 4 (1)).

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

The raw material supplier produces the requested content material with the 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 shipping data and the analysis data after performing the analysis processing of the same analysis conditions on the specification data, and determines whether or not the containing material to be shipped satisfies the specifications, thereby determining whether or not the containing material can be shipped, and outputs the result of shipping feasibility (FIG. 4 (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 for analysis processing 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 contained material shipped from the raw material supplier, the manufacturer system 50A acquires the shipping data and analysis conditions corresponding to the received contained material from the cloud server 30A (Fig. 4 (6)).

Next, the manufacturer system 50A measures received spectrum data (received data) about the contained material, and executes analysis processing on the received data based on the received analysis conditions (Fig. 4 (7)).

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) (Fig. 4 (8)). Here, as a judgment of whether or not the acceptance is possible, it is possible to judge whether or not there is any illegality in the received contained materials by comparing the analyzed data after the analytical processing of the specification data and the analytical data after the analytical processing of the received data. It may be determined whether or not the received content is fraudulent by comparing it with the analysis data. 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 configurations of the raw material supplier system 10A, the manufacturer system 50A, and the cloud server 30A of the ecosystem according to the second embodiment are the same as those of the raw material supplier system 10, the manufacturer system 50, and the cloud server 30 according to the first embodiment shown in FIG. 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 generated 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 obtained by preparing a prototype of the containing material to be produced by the raw material supplier and measuring the prototype by the spectrum measuring device 56, spectroscopic spectral data obtained by the processor 53 simulating spectroscopic spectral data corresponding to the specifications of the containing material 110 to be produced by the raw material supplier, or selecting spectroscopic spectral data of a plurality of preliminarily prepared containing materials.

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

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

Next, at the raw material supplier, the spectrum measurement device 16 measures the spectroscopic spectrum data (shipping spectroscopic data: shipping spectroscopic data, an example of shipping data) of the contained material that is generated and is to be shipped. 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. Further, the analysis processing may be analysis processing according to preset analysis conditions, or may be analysis processing according to analysis conditions set by outputting analysis results for shipping spectroscopic data and sequentially receiving changes in analysis conditions. Here, the analysis conditions may include at least one of conditions for removing noise components of spectral data (noise removal conditions), conditions for correcting baselines of spectral data (baseline correction conditions), and conditions for separating and sharpening peaks of spectral data (peak separation/sharpening conditions). As the noise removal condition, for example, smoothing Savitzky-Golay may be performed, as the baseline correction condition, any one of SNV, MSC, offset correction, and linear correction may be performed, and as the peak separation/sharpening condition, either differentiation processing or MCR may be performed.

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, determines whether or not the generated contained material can be shipped (specifically, whether or not the generated contained material satisfies the specifications), and outputs the shipping decision result 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 stores the shipment spectrum data, the second analysis data, and the analysis conditions of the analysis process in the cloud server 30A (step S28). In the present embodiment, the processor 13 stores, for example, the shipment spectroscopic data, the second analysis data, and the analysis conditions of the analysis process in the cloud server 30A in association with an ID that identifies the containing material to be shipped, for example, the ID of the containing material or the delivery ID of the containing material.

After that, if the result of shipping is possible, the raw material supplier, for example, instructs the shipping company to deliver the generated contained material to the manufacturer, and the instructed shipping company delivers the contained material 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 the received spectroscopic data of the containing material (received spectroscopic data: received spectroscopic 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 received contained material from the cloud server 30A, performs analysis processing on the received spectral data based on the acquired analysis conditions, and obtains analysis data (third analysis data: received data analysis data) (step S31).

Next, the processor 53 checks whether or not the received contained material has been tampered with, determines whether or not it can be accepted (if there is no tampering, it determines that it can be accepted, and if there is tampering, it determines that it cannot be accepted), and outputs the result of whether or not it can be accepted 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 confirmation of fraud, the processor 53 may confirm whether or not the received contained material conforms to the specification (whether it matches the specification or is within the allowable range of the specification) based on the third analysis data and the first analysis data analyzed under the same analysis conditions as the specification spectroscopic spectrum. 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.

In addition, the processor 53 may confirm whether fraud has been committed by determining whether the received contained material is the same as the shipped contained material based on the third analysis data and the second analysis data based on the shipped spectroscopic data. 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 may confirm whether or not fraud has been committed based on the first analysis data based on the specification spectroscopic spectrum and the second analysis data based on the shipping spectroscopic spectrum, based on whether the shipped contained material conforms to the specifications. 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 that can measure a spectrum related to the composition of the contained material may be used, for example, a mass spectrometer that can detect the mass spectrum of the contained material.

Also, in the above embodiment, the spectrum measurement device 16 of the raw material supplier system 10 (10A) is used for the shipment spectrum data, but the delivery company that delivers the recycled material-containing material may have a spectrum measurement device having the same function as the spectrum measurement device 16, and the delivery company's spectrum measurement device may be used to measure the shipment spectrum data when the delivery company receives the recycled material-containing material from the raw material supplier for delivery. 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). Also, in this case, when the recycled material-containing material is received by the manufacturer, the delivery company may measure the received spectral data of the recycled material-containing material using the spectrum measurement device of the delivery company, and transmit it to the manufacturer system 50 (50A). By doing so, the manufacturer system does not need to include the spectrum measuring device 56 .

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

In addition, 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 system may be configured in one computer.

Also, 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... processor, 52... communication module, 53... processor, 54... Storage resource, 55... Input/output module, 56... Spectrum measuring device, 57... Detector, 58... Light source, 59... Input/output device

Claims

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;
shipping data based on shipping spectrum data, which is spectrum data of materials containing recycled materials shipped from a raw material supplier that generates materials containing recycled materials, or reception data based on receiving spectrum data, which is spectrum data of materials containing recycled materials received from the raw material supplier in a manufacturer that manufactures or processes using materials containing recycled materials, and
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
A fraud confirmation system that determines whether or not a recycled material-containing material received by the manufacturer is fraudulent, based on specification data analysis data obtained by performing analysis processing under the predetermined analysis conditions on the specification data, and analysis data obtained by performing analysis processing under the predetermined analysis conditions on the shipment spectrum data or the received spectrum data.
In the fraud confirmation system according to claim 3,
The analysis conditions include at least one of noise removal conditions for removing noise components of spectral data, baseline correction conditions for correcting baselines of spectral data, and peak separation/sharpening conditions for separating and sharpening peaks of spectral data.
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:
A fraud confirmation system that determines whether or not a recycled material-containing material received by the manufacturer is fraudulent, based on specification data analysis data obtained by performing analysis processing under the predetermined analysis conditions on the specification data, and analysis data obtained by performing analysis processing under the predetermined analysis conditions on the shipment spectrum data or the received spectrum data.
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, which is determined 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
In a manufacturer that manufactures or processes using materials containing recycled materials, receive spectrum data that is spectral data of materials containing recycled materials received from raw material suppliers that generate materials containing recycled materials, or received data analysis data that has undergone analysis processing according to predetermined analysis conditions that enable extraction of feature amounts from the received spectrum data, is stored;
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 manufacturer's processor system and stores it in the storage resource.
In the fraud confirmation system according to claim 13,
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 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.