WO2021235522A1 - Dispositif de traitement d'informations, procédé de traitement d'informations, et programme - Google Patents

Dispositif de traitement d'informations, procédé de traitement d'informations, et programme Download PDF

Info

Publication number
WO2021235522A1
WO2021235522A1 PCT/JP2021/019208 JP2021019208W WO2021235522A1 WO 2021235522 A1 WO2021235522 A1 WO 2021235522A1 JP 2021019208 W JP2021019208 W JP 2021019208W WO 2021235522 A1 WO2021235522 A1 WO 2021235522A1
Authority
WO
WIPO (PCT)
Prior art keywords
information
battery
mobile terminal
target devices
information processing
Prior art date
Application number
PCT/JP2021/019208
Other languages
English (en)
Japanese (ja)
Inventor
浜一 粟津
陽 石垣
Original Assignee
株式会社携帯市場
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 株式会社携帯市場 filed Critical 株式会社携帯市場
Priority to JP2021577451A priority Critical patent/JP7048926B1/ja
Publication of WO2021235522A1 publication Critical patent/WO2021235522A1/fr
Priority to JP2022037468A priority patent/JP2022082585A/ja

Links

Images

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/392—Determining battery ageing or deterioration, e.g. state of health
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/48—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries

Definitions

  • the present invention relates to an information processing device, an information processing method, and a program.
  • the deterioration of the battery of a mobile terminal can be correlated with the performance of the battery itself and the usage mode of the user of the terminal.
  • the environment in which the mobile terminal is placed affects the deterioration of the battery.
  • the state of the battery is not emphasized, and it has been recommended to replace the mobile terminal by a replacement cycle after a predetermined period (for example, 2 years) has elapsed.
  • a predetermined period for example, 2 years
  • Patent Document 1 states that the open circuit voltage of a lead-acid battery in a fully charged state and the internal resistance of the lead-acid battery are calculated, and the discharge capacity of the lead-acid battery is calculated from the open circuit voltage and internal resistance in the fully charged state. The technology to be used is described.
  • the present invention has been made in view of such a situation, and provides a method capable of individually predicting battery deterioration according to the actual usage of the user without relying on empirical rules. The purpose.
  • the one or more including at least information about the battery of each of the one or more target devices, as notified by each of the one or more users who use each of the one or more target devices driven by the power from the battery.
  • the acquisition means for acquiring the first information regarding the use of each of the target devices, Based on the first information acquired by the acquisition means, the usage period of each of the one or more target devices and the battery used for estimating the state of the battery of the one or more target devices or the other target devices.
  • a generation means for generating second information indicating the correlation with the state of Information processing device equipped with.
  • FIG. 1 It is a figure which shows the outline of this service which can be realized by the information processing system to which the server which concerns on one Embodiment of the information processing apparatus of this invention is applied. It is a figure which shows the image of the result of the fact-finding questionnaire. It is a figure which shows the image of the multiple regression analysis curve graph. It is a figure which shows an example of the structure of the information processing system including the server which concerns on one Embodiment of the information processing apparatus of this invention. It is a block diagram which shows an example of the hardware composition of the server among the information processing system shown in FIG. It is a functional block diagram which shows the functional configuration for executing the battery deterioration prediction processing, and the purchase price calculation processing among the functional configurations of the server of FIG.
  • An example of a screen of a dedicated application displayed on a mobile terminal in which an evaluation of each item that causes deterioration is displayed as a result of a deterioration diagnosis of the battery of the mobile terminal is shown.
  • An example of a screen of a dedicated application displayed on a mobile terminal which proposes how to use the mobile terminal based on the result (Report) of the battery deterioration diagnosis of the mobile terminal, is shown. It is a screen of a dedicated application displayed on a mobile terminal, and is a screen showing that the alert setting is completed on the screen of FIG.
  • An example of a screen of a dedicated application displayed on a mobile terminal which proposes future handling of the mobile terminal based on the result of a deterioration diagnosis of the battery of the mobile terminal, is shown.
  • An example of a screen of a dedicated application displayed on a mobile terminal which is displayed when there is no problem in the defect check of the mobile terminal, and which proposes future handling of the mobile terminal is shown.
  • An example of a screen including a software button for demonstrating a defect check function which is a screen of a dedicated application displayed when a malfunction behavior occurs on a mobile terminal, is shown.
  • An example of a screen of a dedicated application displayed on a mobile terminal, which is displayed when an abnormality is found in the defect check of the mobile terminal, and which proposes future handling of the mobile terminal is shown.
  • An example of a screen of a dedicated application displayed on a mobile terminal, which is displayed when a service provider makes a purchase assessment of the mobile terminal, and which proposes future handling of the mobile terminal is shown.
  • FIG. 1 is a diagram showing an outline of the present service that can be realized by an information processing system to which a server according to an embodiment of the information processing apparatus of the present invention is applied.
  • FIG. 2 is a diagram showing an image of the result of the fact-finding questionnaire.
  • FIG. 3 is a diagram showing an image of a multiple regression analysis curve graph.
  • This service is a service that can be realized by an information processing system to which the server 1 managed by the service provider G is applied.
  • the service provider G is a service provided to the terminal user C and the store staff S of the predetermined store.
  • the terminal user C is a person who uses the mobile terminal 2 driven by a battery.
  • the store staff S is a counter staff of a predetermined store that handles the mobile terminal 2 as a business.
  • the "prescribed store” includes a sales agent such as a smartphone, a repair company, a purchase company, and the like.
  • the terminal user C When using this service, the terminal user C operates the dedicated application software (hereinafter referred to as "dedicated application”) installed on the mobile terminal 2 that enables the use of this service. In addition, the terminal user C also uses this service by accessing a dedicated website (hereinafter referred to as “dedicated site”) that enables the use of this service, which is displayed by the browser function of the mobile terminal 2. can do.
  • terminal user C operates mobile terminal 2 means that terminal user C uses this service from a dedicated application or a dedicated site.
  • the store staff S operates the dedicated application installed on the terminal 3 (hereinafter referred to as “store terminal 3”) deployed in the store. The store staff S can also use this service by accessing the dedicated site displayed by the browser function of the store terminal 3.
  • the store staff S operates the store terminal 3 means that the store staff S uses this service from the dedicated application or the dedicated site.
  • n is an arbitrary integer value of 1 or more
  • actual survey questionnaire a questionnaire survey on the use of n mobile terminals 2 is conducted for each of n terminal users (n is an arbitrary integer value of 1 or more) (hereinafter referred to as "actual survey questionnaire"). Is carried out.
  • one terminal user C may use a plurality of mobile terminals 2, but in this case, the terminal user C is counted as one person for one mobile terminal 2.
  • one mobile terminal 2 may be shared by a plurality of terminal users C, but in this case as well, one representative is defined as one terminal user C for one mobile terminal 2. It shall be counted as.
  • the fact-finding questionnaire is carried out by displaying a UI (User Interface) consisting of one or more question items and input items for them on the mobile terminal 2.
  • the terminal user C answers the fact-finding questionnaire by operating the mobile terminal 2.
  • the method of conducting the fact-finding questionnaire is not limited to this.
  • a fact-finding questionnaire may be attached to an e-mail addressed to the terminal user C, and the terminal user C may respond to the questionnaire.
  • the fact-finding questionnaire includes general questions about the actual usage of the mobile terminal 2 as well as questions about the battery.
  • FIG. 2 shows a specific example of the fact-finding questionnaire. That is, as shown in FIG. 2, in the fact-finding questionnaire conducted for n terminal users C, No. Question items 1 to 19 are provided.
  • the terminal user C inputs an answer as shown in FIG. 2, for example, to such a question. That is, as shown in FIG. 2, the age is “35 years old", the gender is “male”, the zip code is “XXX-XXXX”, the occupation is “office worker”, the family structure is “married, two children”, and mobile.
  • the purchase date of the terminal 2 is "YYYY / MM / DD”
  • the purchase location of the mobile terminal 2 is "regular store (new)”
  • the model name of the mobile terminal 2 is "OOOO"
  • whether or not the cover is used is "Yes”.
  • the cover type is "notebook type"
  • the repair record after purchasing the mobile terminal 2 is "yes”
  • the repair request destination is “regular store”
  • the daily usage time of the mobile terminal 2 is "1 hour”.
  • the main place of use of mobile terminal 2 is "home”, whether or not Wi-Fi is used is “yes”
  • the purpose of use other than calling of mobile terminal 2 is "news, SNS (real name registration), video site, music, "Payment”, “Yes” for whether the charger is genuine, “Charge when the battery is about to run out (additional charging)” for when to charge, the current battery capacity is An answer such as "maximum capacity 85%” is input.
  • the above-mentioned fact-finding questionnaire is conducted for n terminal users C. Then, the input results by each of the n terminal users C are associated with the question items and acquired by the server 1 as the survey result information.
  • the server 1 also acquires the results of the Internet survey independently conducted as survey result information. As a specific example of the survey system, for example, every time the mobile terminal 2 is purchased at a predetermined store, a fact-finding questionnaire is conducted for the terminal user C. By carrying out this for a predetermined period (for example, 3 months), a large amount of survey result information is accumulated in the server 1.
  • an Internet survey based on various viewpoints by a plurality of (for example, 30 people) staff is carried out for a predetermined period (for example, for 3 months), and the survey result information is accumulated in the server 1 (for example, 5000 plots).
  • the server 1 generates a multiple regression analysis curve graph.
  • the multiple regression analysis curve graph is a graph showing the correlation between the usage period t of each of the n mobile terminals 2 and SOH (State of health), which is an index showing the deterioration state or soundness of the battery.
  • SOH is calculated by the formula "full charge capacity at the time of deterioration (Ah) / initial full charge capacity (Ah) ⁇ 100".
  • FIG. 3 shows an image of a multiple regression analysis curve graph. That is, the multiple regression analysis curve graph is a graph in which the horizontal axis is the usage period t of the mobile terminal 2 by the terminal user C and the vertical axis is SOH.
  • the plurality of circles plotted show the relationship between the usage period t and SOH for each mobile terminal 2. It should be noted that one circle may indicate one mobile terminal 2 or may indicate a group of a plurality of mobile terminals 2.
  • the curve L shows a regression curve. As shown in FIG. 3, the shorter usage period (left side of the graph) tends to show a high SOH value, and the longer usage period (right side of the graph) tends to show a high SOH value. It can be presumed that what is far from the regression curve (curve L) as shown by the arrow is the deterioration caused by the mode of use of the terminal user C.
  • the value of SOH can be estimated from the usage period t even when the current battery capacity is unknown. It is also possible to generate a multiple regression analysis curve graph for each OS (Operating System) of the mobile terminal 2 (for example, OSs 1 and 2 in FIG. 1). Although not shown, it is also possible to generate a multiple regression analysis curve graph for each manufacturer and model. For example, it is also possible to generate a multiple regression analysis curve graph for each of manufacturers A to C. Further, for example, it is possible to generate a multiple regression analysis curve graph for each of the models a1 to c3 of the manufacturer A. It is also possible to generate a multiple regression analysis curve graph regardless of the OS, manufacturer, and model.
  • OS Operating System
  • a common multiple regression analysis is performed by making corrections to normalize the multiple regression analysis curve graph (for example, the multiple regression analysis curve graphs shown by the curves L1 and L2 in FIG. 1) generated for each OS.
  • a curve graph (eg, a multiple regression analysis curve graph shown by curve L in FIG. 1) is generated.
  • the battery deterioration diagnosis and battery deterioration of each mobile terminal 2 can be performed. It is possible to calculate the purchase price in consideration of the situation.
  • the deterioration diagnosis of the battery may be performed by the store staff S based on a request from the terminal user C, or may be automatically performed at predetermined intervals as a function of the dedicated application. Further, when the deterioration diagnosis of the battery is performed as a function of the dedicated application, the information indicating the degree of deterioration may be notified to the terminal user C as a "notification".
  • the terminal user C can be made aware of the deterioration of the battery of the mobile terminal 2, and at the same time, an index for determining the replacement timing of the mobile terminal 2 can be given. As a result, the terminal user C can replace the mobile terminal 2 with a new one at the best timing. Further, based on the battery deterioration diagnosis result, correction data for reducing the speed of battery deterioration may be transmitted to the mobile terminal 2. As a result, the battery life of the mobile terminal 2 can be extended.
  • the following effects can be expected. That is, according to this service, by recommending the deterioration diagnosis of the battery in the entire industry belonging to the second-hand market, it is possible to recommend the terminal user C to repair the battery or to instruct the replacement by purchase. In this case, the purchase price can be changed according to the state of the battery at the time of replacement. As a result, it is possible to optimize the assessed amount of the mobile terminal 2 in the second-hand market. As a result, the mobile terminal 2 can be normally distributed in the second-hand market. Therefore, a person who intends to purchase the mobile terminal 2 in the second-hand market must be convinced of the state of the mobile terminal 2 (for example, the estimated life expectancy). You can buy it.
  • FIG. 4 is a diagram showing an example of a configuration of an information processing system including a server according to an embodiment of the information processing apparatus of the present invention.
  • the information processing system shown in FIG. 4 is configured to include a server 1, mobile terminals 2-1 to 2-m (m is an arbitrary integer value of n or more), and a store terminal 3.
  • mobile terminal 2 when it is not necessary to distinguish each of mobile terminals 2-1 to 2-m individually, these are collectively referred to as "mobile terminal 2".
  • terminal user C the person who operates the mobile terminal 2
  • the information processing system is not configured, but the mobile terminal 2 is not simply held for sale in the following cases. , The case where it is operated by the terminal user C will be described.
  • the server 1, the mobile terminal 2, and the store terminal 3 are connected to each other via a predetermined network N such as the Internet.
  • the server 1 is an information processing device managed by the service provider G.
  • the server 1 executes various processes for realizing this service while appropriately communicating with each of the mobile terminal 2 and the store terminal 3.
  • the mobile terminal 2 is an information processing device operated by the terminal user C.
  • the mobile terminal 2 is composed of, for example, a smartphone, a tablet, or the like.
  • the store terminal 3 is an information processing device operated by the store staff S of the store.
  • the store terminal 3 is composed of, for example, a personal computer, a smartphone, a tablet, or the like.
  • FIG. 5 is a block diagram showing an example of the hardware configuration of the server in the information processing system shown in FIG.
  • the server 1 includes a CPU (Central Processing Unit) 11, a ROM (Read Only Memory) 12, a RAM (Random Access Memory) 13, a bus 14, an input / output interface 15, an input unit 16, and an output unit 17. , A storage unit 18, a communication unit 19, and a drive 20.
  • CPU Central Processing Unit
  • ROM Read Only Memory
  • RAM Random Access Memory
  • the CPU 11 executes various processes according to the program recorded in the ROM 12 or the program loaded from the storage unit 18 into the RAM 13. Data and the like necessary for the CPU 11 to execute various processes are also appropriately stored in the RAM 13.
  • the CPU 11, ROM 12 and RAM 13 are connected to each other via the bus 14.
  • An input / output interface 15 is also connected to the bus 14.
  • An input unit 16, an output unit 17, a storage unit 18, a communication unit 19, and a drive 20 are connected to the input / output interface 15.
  • the input unit 16 is composed of, for example, a keyboard or the like, and outputs various information.
  • the output unit 17 is composed of a display such as a liquid crystal display, a speaker, or the like, and outputs various information as images or sounds.
  • the storage unit 18 is composed of a DRAM (Dynamic Random Access Memory) or the like, and stores various data.
  • the communication unit 19 communicates with other devices (for example, the mobile terminal 2 and the store terminal 3 in FIG. 2) via the network N including the Internet.
  • a removable media 40 made of a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is appropriately mounted on the drive 20.
  • the program read from the removable media 40 by the drive 20 is installed in the storage unit 18 as needed. Further, the removable media 40 can also store various data stored in the storage unit 18 in the same manner as the storage unit 18.
  • the mobile terminal 2 and the store terminal 3 in FIG. 4 can have basically the same configuration as the hardware configuration shown in FIG. Therefore, the description of the hardware configuration of the mobile terminal 2 and the store terminal 3 will be omitted.
  • the service provider G can provide the above-mentioned service to the terminal user C and the store staff S.
  • the “battery deterioration prediction process” refers to a process of predicting the deterioration of the battery of the mobile terminal 2 of the terminal user C by machine learning based on the result of the regression analysis described above.
  • the “purchase price calculation process” refers to a process of calculating the purchase price of the mobile terminal 2 of the terminal user C based on the result of the battery deterioration prediction process.
  • FIG. 6 is a functional block diagram showing a functional configuration for executing a battery deterioration prediction process and a purchase price calculation process among the functional configurations of the server of FIG.
  • the notification control unit 101 As shown in FIG. 6, in the CPU 11 of the server 1, when the execution of the battery deterioration prediction process is controlled, the notification control unit 101, the investigation result acquisition unit 102, the SOH analysis unit 103, and the deterioration diagnosis unit 104 works. Further, when the execution of the purchase price calculation process is controlled, the purchase price calculation unit 105 further functions.
  • a survey result DB181 and an analysis result DB182 are provided in one area of the storage unit 18 of the server 1.
  • the notification control unit 101 executes control to notify each of n terminal users C of a fact-finding questionnaire composed of one or more input items. Specifically, the notification control unit 101 executes control to display the input items of the fact-finding questionnaire on each of the n mobile terminals 2.
  • the method of notifying the fact-finding questionnaire is not limited to this. For example, it may be notified by attaching a fact-finding questionnaire to an e-mail addressed to the terminal user C.
  • the notification control unit 101 executes control to notify at least one of the mobile terminal 2 and the store terminal 3 of the battery deterioration diagnosis result generated by the deterioration diagnosis unit 104.
  • the notification control unit 101 executes control to notify at least one of the mobile terminal 2 and the store terminal 3 of the purchase price calculated by the purchase price calculation unit 105.
  • the survey result acquisition unit 102 uses at least n units including information on the batteries of each of the n mobile terminals 2 notified by each of the n terminal users C who use each of the n mobile terminals 2. Information on the use of each of the mobile terminals 2 of the above is acquired as survey result information.
  • the survey result information acquired by the survey result acquisition unit 102 is stored and managed in the survey result DB 181.
  • the SOH analysis unit 103 generates a multiple regression analysis curve graph showing the correlation between the usage period t of each of the n mobile terminals 2 and the SOH by performing a regression analysis based on the survey result information.
  • the multiple regression analysis curve graph generated by the SOH analysis unit 103 is stored and managed in the analysis result DB 182.
  • the deterioration diagnosis unit 104 predicts the deterioration of the battery of the mobile terminal 2k (k is an arbitrary integer value of 1 or more and m or less) based on the multiple regression analysis curve graph generated by the SOH analysis unit 103, and the result is As a battery deterioration diagnosis result is generated. Specifically, the deterioration diagnosis unit 104 diagnoses the deterioration state of the battery by applying the mobile terminal 2k to the multiple regression analysis curve graph, and generates the battery deterioration diagnosis result as a result.
  • the purchase price calculation unit 105 calculates the purchase price of the mobile terminal 2k based on the battery deterioration diagnosis result of the mobile terminal 2k generated by the deterioration diagnosis unit 104.
  • the information for which the relevance to the multiple regression analysis curve graph of FIG. 3 is determined is not particularly limited to the answer to the questionnaire, and may be any information.
  • deterioration of a battery is caused by a plurality of factors such as charging, recharging, charging time, number of heat generations, communication frequency, and the like. Therefore, information indicating the correspondence between one or more items that cause deterioration of the mobile terminal 2 and the multiple regression analysis curve graph of FIG. 3 may be output.
  • this item can be obtained as an answer to the fact-finding questionnaire, but can also be obtained from the state of the mobile terminal 2 (including the usage and goals of the terminal user C). That is, in such a case, in machine learning by AI, the information showing the relationship between the multiple regression analysis curve graph of FIG. 3 and each of one or more items that cause deterioration (hereinafter, "item-related information"). Call) may be output.
  • the predetermined mobile terminal 2 has one or more items based on the actual state of the predetermined mobile terminal 2 and the item-related information.
  • An evaluation for example, an evaluation such as "excellent” or "good" is obtained.
  • FIG. 7 shows an example of a screen of a dedicated application displayed on a mobile terminal, in which the evaluation of each item that causes deterioration is displayed as a result of the deterioration diagnosis of the battery of the mobile terminal.
  • ⁇ -kun at the upper part of the screen of FIG. 7 is the name of the character corresponding to the mobile terminal 2, and is set by the terminal user C at the stage when the dedicated application is installed or the like.
  • "It's going well” below “ ⁇ -kun” on the screen of FIG. 7 is the overall result of the deterioration diagnosis of the battery of the mobile terminal 2.
  • the "2 point get" on the right side is an indication that a predetermined point has been obtained.
  • the points can be obtained, for example, according to the overall result of the deterioration diagnosis of the battery, and can be used for replacement by purchase of the terminal user C or the like.
  • the evaluation of a predetermined mobile terminal 2 for example, evaluation of "excellent”, “good”, etc.
  • the evaluation of a predetermined mobile terminal 2 for example, evaluation of "excellent”, “good”, etc.
  • “while charging”, “second charging”, “charging time”, “charging time zone”, “heat generation frequency”, and “communication frequency” are adopted as such items. ..
  • the form of displaying the result (evaluation) of the deterioration diagnosis of the battery on the screen is not particularly limited to the example of FIG. 7, and various other forms can be adopted.
  • the image showing the character " ⁇ -kun" is evaluated as having a bad item that causes deterioration, the character has a bad evaluation of deterioration such as swelling, cracking, melting in red, and burning.
  • An image indicating that the state is in the state may be displayed on the mobile terminal 2.
  • the item that causes deterioration is evaluated as good, the character may be glossy, crisp, elite, or have an atmosphere of being in a resort.
  • An image showing that the deterioration evaluation is good and smooth may be displayed on the mobile terminal 2.
  • FIG. 8 shows an example of a screen of a dedicated application displayed on a mobile terminal, which proposes how to use the mobile terminal based on the result (Report) of the battery deterioration diagnosis of the mobile terminal. ..
  • a proposal is displayed in which an alert (Push notification) is issued when the usage is more than set for each of one or more items that cause deterioration. Will be done. Initially, the recommended value and the like are displayed for this alert, but the terminal user C can freely set it. This is because the recommended values and the like do not always feel appropriate to the terminal user C. Further, below the proposal of such an alert, contents (for example, reading material or article) that convey the tips and techniques for suppressing battery deterioration to the terminal user C are displayed.
  • FIG. 9 is a screen of the dedicated application displayed on the mobile terminal, and is a screen showing that the alert setting is completed on the screen of FIG.
  • the terminal user C performs the battery deterioration diagnosis (1 week check) again after using the mobile terminal 2 for one week based on the alert set in this way. You can choose whether or not.
  • the above points may be obtained if good results are obtained in Check for the past week.
  • FIG. 10 shows an example of a screen of a dedicated application displayed on a mobile terminal, which proposes future handling of the mobile terminal based on the result of a deterioration diagnosis of the battery of the mobile terminal.
  • the screen transitions to the screen where the purchase assessment of the mobile terminal 2 by the service provider is performed.
  • the software button "still used” is pressed, it is determined that the mobile terminal 2 will be continuously used, and the screen transitions to a predetermined screen (not shown).
  • the software button "Donate to the smartphone frog project” is pressed, the screen transitions to the screen where the procedure for donating the mobile terminal 2 is performed.
  • a function for confirming the state (whether or not there is a defect) of each part of the mobile terminal 1 (hereinafter referred to as a "defect check function"). ) Is also included.
  • the defect check function is exerted by a predetermined trigger.
  • a predetermined trigger there are cases where a set predetermined period has elapsed, a case where a terminal user C has explicitly instructed an operation, and the like.
  • items for which such a defect check is performed for example, a screen crack, a battery, a charging defect, a speaker, a microphone, a home button, and a camera defect are set.
  • FIG. 11 shows an example of a screen of a dedicated application displayed on a mobile terminal, which is displayed when there is no problem in the defect check of the mobile terminal and proposes future handling of the mobile terminal. ing.
  • the predetermined trigger for initiating the exertion of the defect check function is not particularly limited to the above-mentioned example.
  • the screen shown in FIG. 12 is displayed on the mobile terminal 2 and the screen is displayed.
  • a defect check may be performed by using the pressing of the software button "Check operation check now" in the above as a trigger. That is, FIG. 12 shows an example of a screen of a dedicated application displayed when a mobile terminal has a defect behavior, and includes a software button for exerting a defect check function.
  • the problem behavior is not particularly limited as long as it can be detected by various sensors built in the mobile terminal 2, and for example, a drop, a collision, water / submersion, pressure, or the like can be adopted.
  • FIG. 13 is an example of a screen of a dedicated application displayed on a mobile terminal, which is displayed when an abnormality is found in the defect check of the mobile terminal and proposes future handling of the mobile terminal. Shows. That is, software buttons that indicate how to handle the mobile terminal 2 in the future, specifically, for example, a software button that says “repair now", a software button that says “still use”, and “donate to the smartphone frog project". A software button "to do” is displayed in the screen of FIG.
  • FIG. 13 is an example of a screen of a dedicated application displayed on a mobile terminal, which is displayed when an abnormality is found in the defect check of the mobile terminal and proposes future handling of the mobile terminal. Shows.
  • FIG. 14 is a screen of a dedicated application displayed on the mobile terminal, which is displayed when the service provider makes a purchase assessment of the mobile terminal and proposes future handling of the mobile terminal.
  • An example is shown.
  • the service provider makes a purchase assessment, and the purchase price (23,800 yen in the example of FIG. 14) is displayed as the assessment result.
  • a software button indicating how to handle the mobile terminal 2 in the future specifically, for example, a software button "double the QUAH points when sold in the mobile phone market" and a software button "" are the screens of FIG. It is displayed in.
  • the target device in the present invention is not limited to the above-mentioned embodiment. That is, any device driven by electric power from a battery is included in the “target device” in the present invention. For this reason, any device, such as a battery-powered vehicle, drone, or various types of hardware, can be included in the "target device”.
  • the question items in the fact-finding questionnaire in Fig. 3 are merely examples.
  • other question items for obtaining various information necessary for grasping the usage status of the mobile terminal 2 may be included.
  • system configuration shown in FIG. 4 and the hardware configuration of the server 1 shown in FIG. 5 are merely examples for achieving the object of the present invention, and are not particularly limited.
  • FIG. 6 is merely an example and is not particularly limited. That is, it suffices if the information processing system of FIG. 4 has a function capable of executing the above-mentioned series of processes as a whole, and what kind of functional block is used to realize this function is particularly an example of FIG. Not limited to.
  • the location of the functional block is not limited to FIG. 6, and may be arbitrary.
  • the battery deterioration prediction process and the purchase price calculation process described above are performed on the server 1 side, but the present invention is not limited to this, and the mobile terminal 2 side or the store terminal 3 side is not limited to this. At least a part of these processes may be performed in. That is, the functional blocks required for executing the battery deterioration prediction process and the purchase price calculation process are configured to be provided on the server 1 side, but this is only an example. At least a part of the functional blocks arranged on the server 1 side may be provided on the mobile terminal 2 side or the store terminal 3 side.
  • one functional block may be configured by a single piece of hardware, a single piece of software, or a combination thereof.
  • a program constituting the software is installed in a computer or the like from a network or a recording medium.
  • the computer may be a computer embedded in dedicated hardware. Further, the computer may be a computer capable of executing various functions by installing various programs, for example, a general-purpose smartphone or a personal computer in addition to a server.
  • the recording medium containing such a program is not only composed of removable media (not shown) distributed separately from the main body of the device in order to provide the program to the user, but also is preliminarily incorporated in the main body of the device to the user. It is composed of the provided recording media and the like.
  • the steps for describing a program recorded on a recording medium are not only processed in chronological order but also in parallel or individually, even if they are not necessarily processed in chronological order. It also includes the processing to be executed.
  • the term of the system means an overall device composed of a plurality of devices, a plurality of means, and the like.
  • the information processing apparatus to which the present invention is applied need only have the following configurations, and various embodiments can be taken. That is, the information processing apparatus to which the present invention is applied (for example, the server 1 in FIG. 4) is Notified by each of one or more users (eg, n terminal users C above) who use each of one or more target devices (eg, n mobile terminals 2 above) driven by power from a battery. First information (eg, described above) relating to the use of each of the one or more target devices, including at least information about the battery of each of the one or more target devices (eg, the capacity of the battery displayed on the mobile terminal 2). An acquisition means for acquiring the survey result information (for example, the survey result acquisition unit 102 in FIG.
  • the usage period of each of the one or more target devices used for estimating the state of the battery of the one or more target devices or the other target devices for example, FIG.
  • a generation means for example, SOH analysis of FIG. 6 for generating second information (for example, a multiple regression analysis curve graph of FIG. 2) showing a correlation between the usage period t) of 2 and the state of the battery (for example, SOH of FIG. 2). Part 103) and To prepare for.
  • the correlation between the usage period of each of the one or more target devices and the state of the battery is based on the first information regarding the use of the battery notified from each of the one or more target devices driven by the electric power from the battery.
  • Second information is generated.
  • the notification control means for example, the notification control unit 101 of FIG. 6) for executing the control of notifying each of the one or more users of the questionnaire composed of one or more input items (for example, the fact-finding questionnaire of FIG. 1) is further provided.
  • the acquisition means can acquire the result of the investigation by the questionnaire notified by the control of the notification control means as the first information.
  • the acquisition means acquires information indicating the state of the target device as the first information.
  • the questionnaire consisting of one or more input items is notified to each of one or more users. Then, the result of the survey by the notified questionnaire is acquired as the first information regarding the use of the battery. Alternatively, information indicating the state of the target device is acquired as the first information. Then, based on the first information about the battery notified from each of the one or more target devices, the second information showing the correlation between the usage period of each of the one or more target devices and the state of the battery is generated. As a result, it is possible to predict the deterioration of the battery by using the result of the survey by the questionnaire from one or more users or the second information considering the state of the target device. That is, it is possible to individually predict the deterioration of the battery according to the actual usage of the user without relying on the rule of thumb.
  • a second generation means for example, deterioration diagnosis in FIG. 6 that generates third information (battery deterioration diagnosis result) indicating a state of deterioration of the battery of the target device based on the first information and the second information.
  • a unit 1014 can be further provided.
  • the third information indicating the deterioration state of the battery of the target device is generated. Will be done. As a result, it is possible to individually predict the deterioration of the battery according to the actual usage of the user.
  • a second notification control means (for example, the notification control unit 101 in FIG. 6) that executes control to notify the user of the third information generated by the second generation means can be further provided.
  • the user can be made aware of the deterioration of the battery of the target device, and at the same time, an index for determining the replacement timing of the target device can be given.
  • the user can replace the target device with a new one at the best timing.
  • the third information can be displayed to the user. It can also be notified.
  • a calculation means for example, the purchase price calculation unit 105 in FIG. 6) for calculating the purchase price of the target device based on the third information generated by the second generation means can be further provided.
  • the purchase price of the target device is calculated based on the third information indicating the state of deterioration of the battery of the target device.
  • the target device traded in at an appropriate price considering the deterioration state of the battery will be distributed in the second-hand market.

Landscapes

  • Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Chemical & Material Sciences (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Electrochemistry (AREA)
  • General Chemical & Material Sciences (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Power Engineering (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)
  • Tests Of Electric Status Of Batteries (AREA)

Abstract

La présente invention aborde le problème de permettre, sans nécessiter le recours à des règles empiriques, la prédiction individuelle de la dégradation d'une batterie en fonction de conditions d'utilisation réelles par un utilisateur.　Une unité d'acquisition de résultat d'examen (102) acquiert des informations de résultat d'examen concernant l'utilisation de chaque terminal d'une pluralité de n terminaux mobiles (2), les informations de résultat d'examen comprenant au moins la capacité de chaque batterie de la pluralité de n terminaux mobiles (2) et étant notifiées par chaque utilisateur d'une pluralité de n utilisateurs (C) de terminaux à l'aide d'un terminal mobile respectif (2) de la pluralité de n terminaux mobiles (2). Sur la base des informations de résultat d'examen acquises, une unité d'analyse d'état de santé (SOH) (103) génère un graphique d'une courbe de régression d'analyse multiple montrant une corrélation entre le SOH et un temps d'utilisation t de chaque terminal de la pluralité de n terminaux mobiles (2), le graphe permettant d'estimer l'état d'une batterie d'un autre dispositif ciblé. Ainsi, le problème susmentionné est résolu.
PCT/JP2021/019208 2020-05-22 2021-05-20 Dispositif de traitement d'informations, procédé de traitement d'informations, et programme WO2021235522A1 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
JP2021577451A JP7048926B1 (ja) 2020-05-22 2021-05-20 情報処理装置、情報処理方法、及びプログラム
JP2022037468A JP2022082585A (ja) 2020-05-22 2022-03-10 情報処理装置、情報処理方法、及びプログラム

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JP2020089582 2020-05-22
JP2020-089582 2020-05-22

Publications (1)

Publication Number Publication Date
WO2021235522A1 true WO2021235522A1 (fr) 2021-11-25

Family

ID=78707888

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2021/019208 WO2021235522A1 (fr) 2020-05-22 2021-05-20 Dispositif de traitement d'informations, procédé de traitement d'informations, et programme

Country Status (2)

Country Link
JP (2) JP7048926B1 (fr)
WO (1) WO2021235522A1 (fr)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2023139684A1 (fr) * 2022-01-19 2023-07-27 株式会社日立ハイテク Système de gestion de valeur résiduelle de batterie et procédé de gestion de valeur résiduelle de batterie

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2013225441A (ja) * 2012-04-23 2013-10-31 Hitachi Ltd 電池システムのメンテナンス管理システム及び方法
US20180351381A1 (en) * 2017-06-06 2018-12-06 The Regents Of The University Of Michigan User Aware Charging Algorithm That Reduces Battery Fading
WO2019181729A1 (fr) * 2018-03-20 2019-09-26 株式会社Ｇｓユアサ Dispositif d'estimation de détérioration, programme informatique et procédé d'estimation de détérioration
WO2020044713A1 (fr) * 2018-08-28 2020-03-05 本田技研工業株式会社 Dispositif de diagnostic, procédé de diagnostic, et programme
JP2020064781A (ja) * 2018-10-18 2020-04-23 トヨタ自動車株式会社 電池制御装置

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2013225441A (ja) * 2012-04-23 2013-10-31 Hitachi Ltd 電池システムのメンテナンス管理システム及び方法
US20180351381A1 (en) * 2017-06-06 2018-12-06 The Regents Of The University Of Michigan User Aware Charging Algorithm That Reduces Battery Fading
WO2019181729A1 (fr) * 2018-03-20 2019-09-26 株式会社Ｇｓユアサ Dispositif d'estimation de détérioration, programme informatique et procédé d'estimation de détérioration
WO2020044713A1 (fr) * 2018-08-28 2020-03-05 本田技研工業株式会社 Dispositif de diagnostic, procédé de diagnostic, et programme
JP2020064781A (ja) * 2018-10-18 2020-04-23 トヨタ自動車株式会社 電池制御装置

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2023139684A1 (fr) * 2022-01-19 2023-07-27 株式会社日立ハイテク Système de gestion de valeur résiduelle de batterie et procédé de gestion de valeur résiduelle de batterie

Also Published As

Publication number Publication date
JP2022082585A (ja) 2022-06-02
JP7048926B1 (ja) 2022-04-06
JPWO2021235522A1 (fr) 2021-11-25

Similar Documents

Publication Publication Date Title
Sabbaghi et al. Managing consumer behavior toward on-time return of the waste electrical and electronic equipment: A game theoretic approach
US10558987B2 (en) System identification framework
US11392443B2 (en) Hardware replacement predictions verified by local diagnostics
US20110231239A1 (en) Method and system for attributing an online conversion to multiple influencers
JP6719398B2 (ja) 決定装置、決定方法、及び決定プログラム
JP7048926B1 (ja) 情報処理装置、情報処理方法、及びプログラム
Sabbaghi et al. Reusability assessment of lithium-ion laptop batteries based on consumers actual usage behavior
Zhang et al. Evaluation of the warranty cost of a product with type III stochastic dependence between components
WO2022247741A1 (fr) Procédé et appareil de traitement d'informations de prix d'objet produit de base, et dispositif électronique
US20180130091A1 (en) Determining Marketing Campaigns Based On Customer Transaction Data
Neto et al. Building energy consumption models based on smartphone user’s usage patterns
Zhang et al. Warranty analysis of a two-component system with type I stochastic dependence
US20230351418A1 (en) Business opportunity information recommendation server and method therefor
JP2019053609A (ja) 生成装置、生成方法、生成プログラム、及びモデル
US11710145B2 (en) Training a machine learning algorithm to create survey questions
JP2024015402A (ja) 情報処理装置、方法およびプログラム
KR101654847B1 (ko) 앱 통계정보 제공방법, 서버 및 컴퓨터로 판독 가능한 기록매체
JP2012043164A (ja) 電力自動売買システム
JP4993097B2 (ja) 企業施策の決定支援装置、企業施策の決定支援方法及びそのプログラム
JP6756872B1 (ja) 提案装置、提案方法および提案プログラム
JP7091276B2 (ja) 提案装置、提案方法および提案プログラム
JP6835140B2 (ja) 生成装置、予測システム、生成方法及びコンピュータプログラム
JP2024066504A (ja) 情報処理装置、情報処理方法、及びプログラム
WO2021124904A1 (fr) Dispositif de traitement d'informations, procédé de traitement d'informations et programme
US20230169434A1 (en) Behavioral economics based framework for optimal and strategic decision-making in a circular economy

Legal Events

Date Code Title Description
ENP Entry into the national phase

Ref document number: 2021577451

Country of ref document: JP

Kind code of ref document: A

121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 21809536

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 21809536

Country of ref document: EP

Kind code of ref document: A1