JP7750407B2 - Information processing device, calculation method, and calculation program - Google Patents

Description

The present invention relates to an information processing device, a calculation method, and a calculation program.

In recent years, the popularity of flea market apps has led to an increase in the use of second-hand and second-hand goods. Buyers can enjoy price benefits in exchange for compromising on quality. When buying and selling products, buyers must independently judge the quality of the product based on information and photos provided by the seller, but these can all be fraudulent, and the inability to inspect the product in person poses a risk for buyers.

In flea market apps, buyers rate sellers' behavior and publish the scores. This allows fraudulent sellers to receive lower ratings, reducing their opportunities to sell their products, thereby preventing fraud. Reputation technology is known (see non-patent literature 1 and 2).

“Mercari,” [online], [searched May 16, 2022], Internet <https://www.mercari.com/jp/help_center/article/1016/> "Yahoo! Auctions," [online], [searched May 16, 2022], Internet <https://support.yahoo-net.jp/PccAuctions/s/article/H000005422>

However, conventional technologies have the problem that they may not be able to reduce the risk of purchasing counterfeit or low-quality products. For example, with the reputation technology described above, it is difficult for buyers to judge a seller's reputation if the number of ratings is low. Furthermore, fraudulent sellers create accounts one after another, so even if they receive a low rating, they can use a new account to avoid the low rating, which means that it may not be possible to reduce the risk of purchasing counterfeit or low-quality products.

The present invention has been made in consideration of the above, and aims to provide an information processing device, calculation method, and calculation program that can reduce the risk of purchasing counterfeit or low-quality products.

In order to solve the above-mentioned problems and achieve the objectives, the information processing device of the present invention is characterized by having an acquisition unit that acquires status information regarding the status of the object collected by a sensor attached to the object, a calculation unit that calculates a quality score regarding the quality of the object using the status information acquired by the acquisition unit, and an output unit that outputs the quality score calculated by the calculation unit.

This invention makes it possible to reduce the risk of purchasing counterfeit or low-quality products.

FIG. 1 is a block diagram illustrating an example of a configuration of a system according to an embodiment. FIG. 2 is a block diagram illustrating the configuration of the information processing apparatus according to this embodiment. FIG. 3 is a diagram illustrating the processing of the acquisition unit. FIG. 4 is a diagram illustrating the processing of the calculation unit. FIG. 5 is a diagram illustrating the processing of the calculation unit. FIG. 6 is a diagram illustrating the processing of the calculation unit. FIG. 7 is a diagram illustrating the processing of the output unit. FIG. 8 is a diagram illustrating an outline of the quality score calculation process performed by the information processing device. FIG. 9 is a flowchart illustrating an example of a processing procedure of a quality score calculation process performed by the information processing apparatus according to the embodiment. FIG. 10 is a diagram illustrating a computer that executes a program.

The following describes in detail embodiments of the information processing device, calculation method, and calculation program according to the present application, with reference to the accompanying drawings. Furthermore, the present invention is not limited to the embodiments described below.

[System configuration]
The configuration of a system including an information processing device according to an embodiment will be described. FIG. 1 is a block diagram illustrating an example of the configuration of a system according to an embodiment. As shown in FIG. 1, the system includes an information processing device 10, a terminal device 20, and a status sensor 30. The information processing device 10 and the terminal device 20 are connected to each other via a network 40. The terminal device 20 and the status sensor 30 are connected via Bluetooth (registered trademark) or the like, and perform short-range wireless communication. Regarding the network configuration shown in FIG. 1, each device may communicate via any communication network, whether wired or wireless, such as the Internet, a LAN, or a VPN (Virtual Private Network). The configuration shown in FIG. 1 is merely an example, and the specific configuration and the number of devices are not particularly limited.

The information processing device 10 continuously acquires and analyzes status information of a product (object) to which a status sensor 30 is attached from the status sensor 30 or the terminal device 20 to quantitatively evaluate and score the product's quality. The information processing device 10 then outputs a score related to the product's quality to the terminal of a buyer attempting to purchase the product using the flea market app. This allows the information processing device 10 to enable buyers to refer to the score when making a purchase, reducing the risk of purchasing counterfeit or low-quality products.

The terminal device 20 periodically acquires product status information from the status sensor 30 and periodically notifies the information processing device 10 of the status information. The terminal device 20 may be any device, and may be, for example, an information processing device such as a smartphone, tablet device, notebook PC, or PDA (Personal Digital Assistant).

The status sensor 30 is a sensor attached to the product and periodically transmits product status information along with the product's unique ID to the terminal device 20. For example, the status sensor 30 transmits information such as acceleration in three directions (x, y, and z axes), rotational speed, light intensity, temperature, humidity, position, and amount of water submerged to the terminal device 20 as status information.

[Configuration of information processing device]
2 is a block diagram illustrating the configuration of an information processing apparatus according to this embodiment. As illustrated in FIG. 2, the information processing apparatus 10 according to this embodiment includes a communication processing unit 11, a control unit 12, and a storage unit 13.

The communication processing unit 11 is realized using a NIC (Network Interface Card) or the like, and controls communication via telecommunications lines such as a LAN (Local Area Network) or the Internet.

The memory unit 13 stores data and programs necessary for various processes performed by the control unit 12, and has a status information DB 13a and a quality score DB 13b. For example, the memory unit 13 is a semiconductor memory element such as RAM (Random Access Memory) or flash memory, or a storage device such as a hard disk or optical disk.

Status information DB13a stores status information for objects. For example, status information DB13a stores status information at each time transmitted from a status sensor attached to the object, in association with a unique ID that uniquely identifies the object. Status information DB13a stores values such as acceleration in the three directions of the x, y, and z axes, rotational speed, light intensity, temperature, humidity, position, and amount of water intrusion as status information at each time.

The quality score DB 13b stores the quality scores calculated by the calculation unit 12b described below. For example, the status information DB 13a stores the quality score of an object in association with the object's unique ID.

The control unit 12 has an internal memory for storing programs that define various processing procedures and required data, and executes various processes using these. For example, the control unit 12 has an acquisition unit 12a, a calculation unit 12b, and an output unit 12c. Here, the control unit 12 is an electronic circuit such as a CPU (Central Processing Unit) or MPU (Micro Processing Unit), or an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or FPGA (Field Programmable Gate Array).

The acquisition unit 12a acquires status information relating to the status of the object collected by a status sensor 30 attached to the object. For example, the acquisition unit 12a acquires, as status information, one or more of the following information from the status sensor 30: acceleration in each of the three directions (x, y, and z axes), rotational speed, light intensity, temperature, humidity, position, and water inundation. Here, the acquisition unit 12a acquires the status information along with a unique ID, and stores the status information in the status information DB 13a in association with the unique ID. Note that the acquisition unit 12a may acquire the status information periodically, when a request for a quality score is received, or when other predetermined conditions are met.

The acquisition unit 12a also acquires the status information via the terminal device 20, which receives the status information from the status sensor 30. In other words, as illustrated in FIG. 3, the status sensor 30 operates on low power and only has short-range communication capabilities such as Bluetooth, and transmits data to the information processing device 10 via the terminal device 20. If the status sensor 30 could be reattached to the object, the object's status information could be falsified. Therefore, for example, falsification can be avoided by taking one of the following measures. First, the status sensor 30 may be fixed to the object so that it cannot be physically reattached. Alternatively, the status sensor 30 may acquire the object's unique ID using known artifact metrics technology and register the status sensor 30 together with the unique ID in the information processing device 10. This may allow the information processing device 10 to detect a change in the object's unique ID.

The calculation unit 12b uses the status information acquired by the acquisition unit 12a to calculate a quality score related to the quality of the object. For example, the calculation unit 12b may use the status information to count one or more of the following: the number of times the amount of movement of the object in a predetermined direction exceeds a threshold; the time during which the temperature or humidity exceeds a predetermined condition; the time during which the intensity of ultraviolet light exceeds a predetermined condition; and the number of times the water sensor detects water, and calculate the quality score based on the counted values. Furthermore, for example, the calculation unit 12b may calculate the quality score based on the number of times the value of each sensor data included in the status information is detected as abnormal.

For example, the calculation unit 12b may calculate scores by a method of calculating a score Sr based on rules and a method of calculating a score Sa using anomaly detection from the viewpoint illustrated in Fig. 4, and determine the quality score by comprehensively determining these scores. For example, the score weight W = (Ws, Wa), and the quality score is defined as follows:
Quality Score S = (Ws x Sr + Wa x Sa) / 2

Here, a method for calculating the rule-based score Sr will be described with reference to Fig. 5. As illustrated in Fig. 5, the calculation unit 12b performs point deductions based on rules A, B, C, D, etc. Here, the number of rules is N, the weights of each rule are Wa, Wb, Wc, Wd, the number of rule hits is R = (Ra, Rb, Nc, Nd,...), 0 <= Rx <= Nmax, and D is the initial value of the quality score, and the quality score is defined as follows: For example, the calculation unit 12b calculates the score Sr using the following formula:
Sr=D-(RxW/N)=D-(WaxNa+WbxNb+WcxNc+WdxNd…)/N)

Next, a method for calculating the score Sa using anomaly detection will be described with reference to FIG. 6. As illustrated in FIG. 6, the calculation unit 12b counts the number of anomaly detections from the values of each sensor, and calculates the score Sa using the number of anomaly detections and weights. Here, it is assumed that there are N sensors, the number of times an anomaly is detected for each sensor is A=(a1, a2, ...), 0<=ai<=Amax, the weight of each sensor is W=(w1, w2, ...), and D is the initial value of the quality score. For example, the calculation unit 12b calculates the score Sa using the following formula.
Sa=D-((AxW)/N)=D-((a1xw1+a2xw2+…)/N)

After calculating the quality score, the calculation unit 12b stores the calculated quality score in the quality score DB 13b. The calculation unit 12b may calculate the quality score each time the acquisition unit 12a acquires new status information, or may calculate the quality score when a quality score request is received from the terminal device 20.

The output unit 12c outputs the quality score calculated by the calculation unit 12b. For example, when the output unit 12c receives a unique ID from the terminal device 20, it reads the quality score corresponding to the unique ID from the quality score DB 13b and outputs the quality score to the terminal device 20.

For example, as illustrated in Figure 7, a purchaser obtains the unique ID of an object from a seller and inputs the unique ID into their own terminal device 20. The terminal device 20 then notifies the quality score calculation system (information processing device 10) of a quality score request along with the unique ID. The information processing device 10 obtains the quality score of the object stored in the quality score DB 13b and displays the result on the user's terminal device 20.

As shown in Figure 8, the information processing device 10 continuously acquires status information about the object and quantifies the quality as a score based on the period of use and past usage. If a purchaser requests a quality score, the information processing device 10 provides the purchaser with the quality score, allowing the purchaser to use the quality score as objective reference information when making a purchase.

[Processing Procedure of Information Processing Device 10]
Next, an example of a processing procedure of processing executed by the information processing device 10 will be described with reference to Fig. 9. Fig. 9 is a flowchart showing an example of a processing procedure of quality score calculation processing by the information processing device of the embodiment. Note that Fig. 9 describes an example in which the processing of acquiring state information, the processing of calculating the quality score, and the processing of outputting the quality score are performed as a series of processing, but the timing of each processing is not limited to this.

9, the acquisition unit 12a of the information processing device 10 acquires status information relating to the status of the object collected by the status sensor 30 attached to the object (step S101). For example, the acquisition unit 12a acquires, as the status information, one or more pieces of information from the status sensor 30, including acceleration in each of the three directions of the x-, y-, and z-axes, rotational speed, light intensity, temperature, humidity, position, and amount of flooding.

Then, the calculation unit 12b calculates a quality score related to the quality of the object using the status information acquired by the acquisition unit 12a (step S102). The calculation unit 12b stores the calculated quality score in the quality score DB 13b. For example, the calculation unit 12b may use the status information to count one or more of the following: the number of times the movement amount of the object in a predetermined direction exceeds a threshold; the time during which the temperature or humidity exceeds a predetermined condition; the time during which the intensity of ultraviolet light exceeds a predetermined condition; and the number of times the water sensor detects water, and calculate the quality score based on the counted values. Furthermore, for example, the calculation unit 12b may calculate the quality score based on the number of times the value of each sensor data included in the status information is detected as abnormal.

The output unit 12c outputs the quality score calculated by the calculation unit 12b (step S103). For example, when the output unit 12c receives a unique ID from the terminal device 20, it reads the quality score corresponding to the unique ID from the quality score DB 13b and outputs the quality score to the terminal device 20.

[Effects of the embodiment]
In this way, the information processing device 10 according to the embodiment acquires status information relating to the status of the object collected by the status sensor 30 attached to the object, calculates a quality score relating to the quality of the object using the acquired status information, and outputs the calculated quality score. Therefore, the information processing device 10 can reduce the risk of purchasing counterfeit or low-quality products.

In other words, with the information processing device 10, even when purchasing through a flea market app, for example, buyers can refer to the quality score as information about the quality of the product, thereby reducing the risk of purchasing counterfeit or low-quality products.

[System configuration, etc.]
The components of each device shown in the drawings according to the above embodiments are conceptual functional units and do not necessarily have to be physically configured as shown. In other words, the specific form of distribution and integration of each device is not limited to that shown in the drawings, and all or part of the devices can be functionally or physically distributed and integrated in any unit depending on various loads, usage conditions, etc. Furthermore, all or any part of the processing functions performed by each device can be realized by a CPU and a program analyzed and executed by the CPU, or can be realized as hardware using wired logic.

Furthermore, among the processes described in the above embodiments, all or part of the processes described as being performed automatically can be performed manually, or all or part of the processes described as being performed manually can be performed automatically using known methods. In addition, the information, including the processing procedures, control procedures, specific names, various data, and parameters shown in the above documents and drawings, can be changed as desired unless otherwise specified.

〔program〕
It is also possible to create a program written in a computer-executable language that executes the processes executed by the information processing device described in the above embodiments. In this case, the same effects as those of the above embodiments can be achieved by having a computer execute the program. Furthermore, such a program may be recorded on a computer-readable recording medium, and the program recorded on the recording medium may be read and executed by a computer to achieve the same processes as those of the above embodiments.

Figure 10 is a diagram showing a computer that executes a program. As illustrated in Figure 10, the computer 1000 has, for example, memory 1010, a CPU 1020, a hard disk drive interface 1030, a disk drive interface 1040, a serial port interface 1050, a video adapter 1060, and a network interface 1070, and each of these components is connected by a bus 1080.

As illustrated in FIG. 10, the memory 1010 includes a ROM (Read Only Memory) 1011 and a RAM 1012. The ROM 1011 stores a boot program such as a BIOS (Basic Input Output System). The hard disk drive interface 1030 is connected to a hard disk drive 1031 as illustrated in FIG. 10. The disk drive interface 1040 is connected to a disk drive 1041 as illustrated in FIG. 10. A removable storage medium such as a magnetic disk or optical disk is inserted into the disk drive 1041. The serial port interface 1050 is connected to a mouse 1051 and a keyboard 1052 as illustrated in FIG. 10. The video adapter 1060 is connected to a display 1061 as illustrated in FIG. 10.

Here, as illustrated in FIG. 10, the hard disk drive 1031 stores, for example, an OS 1091, an application program 1092, a program module 1093, and program data 1094. In other words, the above programs are stored, for example, on the hard disk drive 1031 as program modules that describe instructions to be executed by the computer 1000.

In addition, the various data described in the above embodiment are stored as program data, for example, in memory 1010 or hard disk drive 1031. Then, the CPU 1020 reads the program module 1093 and program data 1094 stored in memory 1010 or hard disk drive 1031 into RAM 1012 as needed, and executes various processing procedures.

The program module 1093 and program data 1094 related to the program do not necessarily have to be stored on the hard disk drive 1031, but may be stored, for example, on a removable storage medium and read by the CPU 1020 via a disk drive or the like. Alternatively, the program module 1093 and program data 1094 related to the program may be stored in another computer connected via a network (such as a LAN (Local Area Network), WAN (Wide Area Network)), and read by the CPU 1020 via the network interface 1070.

The above describes an embodiment of the invention made by the inventor, but the present invention is not limited to the descriptions and drawings that form part of the disclosure of the present invention according to this embodiment. In other words, all other embodiments, examples, operational techniques, etc. made by those skilled in the art based on this embodiment are included in the scope of the present invention.

REFERENCE SIGNS LIST 10 Information processing device 11 Communication processing unit 12 Control unit 12a Acquisition unit 12b Calculation unit 12c Output unit 13 Storage unit 13a Status information DB
13b Quality score DB

Claims (6)

an acquisition unit that acquires state information relating to a state of the object collected by a sensor attached to the object;
a calculation unit that calculates a quality score related to the quality of the object using the state information acquired by the acquisition unit;
an output unit that outputs the quality score calculated by the calculation unit ,
The calculation unit uses the status information to count one or more of the following: the number of times the object's movement in a specified direction exceeded a threshold, the time the temperature or humidity exceeded a specified condition, the time the ultraviolet light intensity exceeded a specified condition, and the number of times the water sensor detected water, and calculates the quality score based on the counted values . The information processing device according to claim 1, characterized in that the acquisition unit acquires, as the status information, one or more of the following information from the sensor: acceleration in each of the three directions of the x-, y-, and z-axes, rotational speed, light intensity, temperature, humidity, position, and amount of water immersion. The information processing device according to claim 1, characterized in that the acquisition unit acquires the status information via a terminal that receives the status information from the sensor. The information processing device according to claim 1, characterized in that the calculation unit calculates the quality score according to the number of times that the value of each sensor data included in the status information is detected as abnormal. A calculation method executed by an information processing device, comprising:
an acquisition step of acquiring status information relating to the status of the object collected by a sensor attached to the object;
a calculation step of calculating a quality score related to the quality of the object using the state information acquired by the acquisition step;
an output step of outputting the quality score calculated by the calculation step ,
The calculation process uses the status information to count one or more of the following: the number of times the object's movement in a specified direction exceeds a threshold, the time the temperature or humidity exceeds a specified condition, the time the ultraviolet intensity exceeds a specified condition, and the number of times the water sensor detects water; and calculates the quality score according to the counted values . an acquisition step of acquiring status information relating to a status of the object collected by a sensor attached to the object;
a calculation step of calculating a quality score related to the quality of the object using the state information acquired by the acquisition step;
an output step of outputting the quality score calculated by the calculation step ;
The calculation step is a calculation program characterized by using the status information to count one or more of the following: the number of times the object's movement in a specified direction exceeds a threshold, the time the temperature or humidity exceeds a specified condition, the time the ultraviolet intensity exceeds a specified condition, and the number of times the water sensor detects water, and calculating the quality score based on the counted values .