Vehicle data analysis method and apparatus

Abstract

To provide a vehicle data analyzing method and a vehicle data analyzing apparatus which enable an owner or the like to know the shortening of the life of vehicle components due to rough driving by a temporary user during a rental period.SOLUTION: In a vehicle data analysis method, occupant information is obtained (S1), traveling data of a vehicle is obtained (S2), and whether an occupant is an owner of the vehicle is determined (S3). If the occupant is the owner, the transition of a first abnormality degree is predicted (S4). If the occupant is not the owner, a second abnormality degree is obtained (S5). Then, when a specific traveling event is detected (S6), a difference between the first abnormality degree and the second abnormality degree is calculated and compared (S7). If the second abnormality degree is greater and the difference in abnormality degree is greater than or equal to a predetermined value (S8), a contribution degree of a primary user is calculated (S11), and based on the contribution degree, the obligation to execute the co-payment is determined and notified (S12).SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present invention relates to a method and apparatus for analyzing the progression of deterioration or damage to a vehicle caused by driving the vehicle by another person during a period when the vehicle owner temporarily lends the vehicle to another person. [Background technology]

[0002] In rare cases, vehicle owners may lend their vehicles to others for a few days. In recent years, a type of matching service has been put into practical use, which connects vehicle owners with people who wish to temporarily use the vehicle via application software on a smartphone or other device, allowing the vehicle to be temporarily rented out for a fee, thereby helping owners make effective use of their vehicles.

[0003] Patent Document 1 discloses a technology for analyzing accidents in the event of a vehicle collision using telematics data including data from gyroscopes, accelerometers, GPS data, video recordings, vehicle diagnostic data, audio recordings, etc.

[0004] Patent Document 2 discloses a technology that generates a digital twin of a vehicle in order to grasp the condition of the vehicle in real time, performs simulations based on this digital twin, and performs tasks such as monitoring the vehicle's useful life. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] Patent Publication No. 2021-503637 [Patent Document 2] Japanese Patent Publication No. 2020-13557 Summary of the Invention [Problem to be solved by the invention]

[0006] For example, if a vehicle owner temporarily rents out a vehicle and the temporary user drives the vehicle more recklessly than the owner during the rental period, the deterioration or damage to various parts of the vehicle may be more severe than if the owner drove the vehicle normally.

[0007] In such cases, disputes often arise between the parties as to whether the deterioration or damage to the vehicle was caused by the temporary user's driving, or whether it is within the range that would normally occur as the mileage increases or time passes.

[0008] The technologies of Patent Documents 1 and 2 do not focus on such problems that may arise between the owner and the temporary user. The technology of Patent Document 1 is only applicable to situations when a vehicle crashes. The technology of Patent Document 2 can only evaluate the current state of the vehicle. [Means for solving the problem]

[0009] The vehicle data analysis method according to the present invention includes: Identifying whether the driver is an owner or a temporary user; Vehicle driving data obtained by the owner before the vehicle is rented out is acquired, and based on this data, a transition in the degree of abnormality of a specific vehicle part due to the owner's driving is determined; Based on the change in the degree of abnormality due to the owner's driving, the degree of abnormality during the rental period to the temporary user is estimated as a first degree of abnormality; acquiring vehicle driving data driven by the temporary user while the vehicle is being lent to the temporary user, and calculating a second abnormality degree of the vehicle part based on the data; The first abnormality level and the second abnormality level are compared, and information relating to the discrepancy between the two is notified to at least the owner.

[0010] As the vehicle is used (in other words, driven), deterioration, damage, or wear (hereinafter collectively referred to as "damage") of various vehicle parts progresses, and the degree of abnormality associated with the vehicle part increases, and when the degree of abnormality reaches a certain level, replacement, repair, etc. becomes necessary.

[0011] For example, if the temporary user drives recklessly during the rental period, the second abnormality level calculated based on the temporary user's driving will be higher and will deviate from the first abnormality level estimated based on the owner's driving before the rental period. Information related to this deviation will be notified to at least the owner. [Effects of the Invention]

[0012] According to this invention, by comparing the second abnormality level involving the temporary user with the first abnormality level involving the owner, the owner can correctly know the damage to the vehicle part involving the temporary user, and can take appropriate action. [Brief explanation of the drawings]

[0013] [Figure 1] FIG. 1 is a functional block diagram of a data analysis apparatus according to a first embodiment. [Figure 2] 4 is a flowchart showing the flow of processing in the first embodiment. [Figure 3] FIG. 4 is an explanatory diagram showing an example of the transition of the first abnormality degree and the second abnormality degree. [Figure 4] FIG. 4 is an explanatory diagram showing an example of a display on a display unit for an owner. [Figure 5] FIG. 10 is an explanatory diagram showing a display example on a display unit for temporary users. [Figure 6] FIG. 10 is an explanatory diagram showing an example of a display on a display unit for related parties. [Figure 7] FIG. 7 is an explanatory diagram showing an example of a display transitioning from the display in FIG. 6; [Figure 8] FIG. 7 is an explanatory diagram showing an example of a display transitioning from the display in FIG. 6; [Figure 9] FIG. 10 is a functional block diagram of a data analysis apparatus according to a second embodiment. [Figure 10] 10 is a flowchart showing the flow of processing in a second embodiment. [Figure 11] FIG. 10 is an explanatory diagram showing a display example on a display unit according to a second embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0014] An embodiment of the present invention will be described in detail below. In the following embodiment, the present invention is applied to a vehicle rental service in which a service provider providing a car sharing matching service acts as an intermediary between a vehicle owner and a temporary user who wishes to temporarily use the vehicle for a fee. The entire data analysis device of the embodiment is configured as a cloud system, for example, primarily consisting of a cloud server managed by the service provider, and includes a mobile device such as a smartphone or a personal computer owned by the owner, a mobile device such as a smartphone owned by the temporary user, and multiple data acquisition devices pre-installed in the vehicle to acquire various data from the vehicle. In addition, the data analysis device may also include smartphones and personal computers owned by related parties such as insurance companies. To perform the matching service provided by the service provider, the service provider provides the owner and temporary user with application software that runs on the smartphone or the like. The owner and temporary user can view the display, described below, as part of the application software's functions.

[0015] The "owner" is usually the person registered with the vehicle, and although the following examples assume an individual, it can also be a corporation or organization. In the case of a corporation, the owner can be the corporation itself, or an individual such as the manager of the vehicle, the person in charge of the dispatch service, or the person in charge of arranging vehicle maintenance and repairs.

[0016] A "temporary user" is a person who borrows a vehicle from the owner and uses it temporarily (for a few hours, a few days, a few months, etc.), regardless of whether it is paid or free of charge. In the following examples, we will assume that the person is an individual, but it can also be a corporation or organization. A child who uses their parent's vehicle is also a temporary user.

[0017] Basically, in the event of a vehicle malfunction or breakdown, the owner is obligated to arrange for vehicle repairs and bear the costs of such repairs, and the temporary user is not obligated to do so. However, depending on the content of the matching service contract or temporary insurance purchased in conjunction with the matching service, the temporary user may be temporarily obligated to arrange for vehicle repairs and bear the costs of such repairs in the event of an accident or breakdown of the vehicle during the rental period. This embodiment relates to compensation for the progression of damage (in other words, shortened lifespan) associated with the temporary user's use or driving during the rental period, separate from such accidents or breakdowns during the rental period.

[0018] 1 is a functional block diagram of a data analysis device according to a first embodiment. This data analysis device includes a data acquisition unit 10, an abnormality degree calculation unit 20, a comparison unit 30, a transmission unit 40, and a display unit 50.

[0019] The data acquisition unit 10 includes an occupant data acquisition unit 11, an occupant determination unit 12, and a driving data acquisition unit 13.

[0020] The occupant data acquisition unit 11 acquires data about the current driver, acquiring data on the person in the driver's seat from an onboard camera or fingerprint recognition device, such as a driver monitoring system, and also acquires data from the reservation information database 80, such as the reservation number and ID included in the reservation request when the temporary user reserved a vehicle, the user number, the owner's ID registered in the matching service, reservation information such as the date and time of use, facial photo information, and fingerprint information. The occupant determination unit 12 identifies whether the driver is the owner or the temporary user based on this information. This driver identification or specification may be performed by any method, such as comparing image data acquired by an onboard camera with image data registered in the reservation information database 80, or comparing the ID entered when getting in with the ID in the reservation information database 80. The person in the driver's seat may also be identified using a mobile device, such as a smartphone, owned by the owner or temporary user. The occupant data acquisition unit 11 and the occupant determination unit 12 correspond to the occupant acquisition unit. Furthermore, multiple means, devices, and information for recognizing occupants may be combined.

[0021] For example, facial photograph information of the owner or temporary user can be obtained from facial photograph information submitted for identification to the insurance company (passport, driver's license, My Number card, etc.), facial photograph information from a driver's license registered with a vehicle matching service, etc. By using facial recognition technology to extract facial image data from images or video information of the driver acquired by an in-vehicle camera, etc. and comparing it with facial photograph information, it is possible to identify the driver.

[0022] Here, the determination of the occupant may be made only by determining whether the occupant is the owner or a person other than the owner, or it may be made to identify both the owner and the temporary user. In the former case, a driver other than the owner is considered to be a temporary user. In this case, it is desirable to store facial image information of the occupant (driver) acquired by the occupant data acquisition unit 11, and when it becomes necessary for the temporary user to share responsibility for parts repair, etc., as will be described later, to identify the temporary user along with information such as the rental period of the vehicle, so that negotiations and contact regarding repairs can be carried out.

[0023] The databases used to identify the vehicle owner and the temporary user may be the same or different databases. A database having multiple tables, such as a relational database, may also be used.

[0024] The driving data acquisition unit 13 acquires vehicle driving data generated by the owner and temporary user. Examples of vehicle driving data include time-series data related to engine control, such as engine speed and engine temperature, and data indicating the degree of suspension and tire wear. The vehicle driving data may be time-series data acquired continuously from the past, or instantaneous values, such as current values. Furthermore, the vehicle driving data may be acquired not only from on-board devices or vehicle signal measurement devices, but also from devices other than on-board devices, such as measurements at a dealership or past maintenance records. Figure 1 collectively illustrates these as a vehicle driving information database 70, which also includes information such as engine speed continuously provided by the vehicle. For example, data detected by a vehicle device may be output to a cloud server managed by a service provider via a connected car system or an appropriate communication means. Information may also be transmitted via a mobile device, such as a smartphone, owned by the owner or temporary user. The type of information acquired as vehicle driving data and the means used are arbitrary.

[0025] The anomaly degree calculation unit 20 calculates the anomaly degree for each specific vehicle part based on the vehicle driving data acquired by the driving data acquisition unit 13. The anomaly degree, in a broad sense, is the degree of deviation from a normal state, and here, for example, is an index that represents the degree of deterioration or damage of a part with the progression of the vehicle's driving distance or vehicle usage time. For example, the degree of deviation between a signal detected by some device and a group of normal signals can be used as the anomaly degree. Alternatively, the degree of deviation between each signal and a threshold value can also be regarded as the anomaly degree. Note that the anomaly degree may also be expressed by the distance or time that can be driven from the current vehicle state before a failure occurs.

[0026] Here, the abnormality level is calculated individually for each of the owner and the temporary user. That is, based on the driver's identification described above, the change in the abnormality level due to the owner's driving is calculated based on the vehicle driving data described above while the owner is driving (i.e., before the rental period). Then, during the rental period of the vehicle to the temporary user, when the temporary user is driving the vehicle, the abnormality level due to the driver's driving is estimated based on the change in the abnormality level due to the owner's driving before that, by predicting how the change would have been if the owner had been driving during the rental period. This abnormality level based on the driver's driving is referred to as the first abnormality level.

[0027] Similarly, based on the identification of the driver, while the temporary user is driving (i.e., during the rental period), the degree of abnormality caused by the temporary user's driving (this is referred to as the second abnormality degree) is calculated based on the vehicle driving data described above.

[0028] The prediction of future transitions in the degree of abnormality for the first abnormality degree can be performed using an appropriate known prediction method. Examples include a method in which the deviation of each signal from a threshold value according to conditions and rules is regarded as the degree of abnormality, and the future transitions in the degree of abnormality are predicted based on time-series data including engine speed and engine temperature; an approach in which future predicted values ​​(future behavior) of vehicle driving data acquired by the driving data acquisition unit 13 are estimated using a time-series data prediction method such as LSTM (Long Short-Term Memory) and then invariant analysis is performed; and a method in which the probability of an abnormal state when the vehicle state is classified as a normal state or an abnormal state using machine learning is regarded as the degree of abnormality, and the probability of future abnormalities occurring is calculated from the future predicted values ​​of the vehicle driving data acquired by the driving data acquisition unit 13. However, the present invention is not limited to these, and any appropriate method for predicting future transitions in the degree of abnormality can be used.

[0029] In one embodiment, the transition of the abnormality degree can be determined using either the vehicle travel distance or the vehicle travel time as a parameter.

[0030] The second abnormality level may also be estimated from the transition of the abnormality level up to that point, rather than being limited to a calculation (similar to general abnormality detection) of the current abnormality level based on the current vehicle driving data (or past data) acquired by the driving data acquisition unit 13. For example, similar to the estimation of the first abnormality level, an approach is possible in which the abnormality level is estimated by estimating a future predicted value of the vehicle data acquired from the vehicle data acquisition unit 13.

[0031] The degree of abnormality is basically calculated for each specific vehicle part, but it may also be calculated as the total deviation from the normal state of the entire vehicle signal.

[0032] As an example of the former, the degree of abnormality for the suspension, which is one of the vehicle parts, can be calculated as follows: "degree of abnormality (degree of wear) of suspension = total weight x amount of suspension fluctuation x tire pressure x correction coefficient for road surface conditions (rainfall, snowfall, temperature, unevenness)."

[0033] As an example of the latter, if vehicle signals include signals 1 to 4, and the deviation from normal of signal 1 is "2," the deviation from normal of signal 2 is "3," the deviation from normal of signal 3 is "4," and the deviation from normal of signal 4 is "5," then the deviation from normal of the entire vehicle will be "14" (i.e., 2 + 3 + 4 + 5 = 14), which can also be treated as the abnormality level of the entire vehicle. However, in this case, if temporary users are required to bear the costs of repairs, etc., it will be necessary to separately identify the affected areas or vehicle parts.

[0034] The comparison unit 30 compares the first abnormality degree with the second abnormality degree when a specific event is detected while the temporary user is using the vehicle (i.e., during the rental period). If the second abnormality degree is relatively large and the degree of deviation between the two is large, it determines that the temporary user is involved in the progression of damage to the vehicle or vehicle parts.

[0035] The specific event may be, for example, an action or vehicle state that occurs when getting in, starting the vehicle, ending the driving state, shifting the shift lever, applying the engine brake, stopping, getting out, ending the use of the vehicle, etc. In addition, a specific event may be treated as a specific event based on information about the temporary user's usage time and return time, without relying on detection by an in-vehicle device, for example, using a function that records and manages vehicle rentals of a matching service.

[0036] For example, when a specific event is detected, the first and second abnormality degrees output by the abnormality degree calculation unit 20 are compared for the section from when the previous specific event was detected (for example, the section from just before the vehicle's power (engine, motor, battery) is driven to just before the driving state is ended, or the section from when the shift lever is switched from the P position to the D position to when the shift lever returns to the P position), and the difference between these two abnormality degrees is calculated. For example, if the difference in the abnormality degrees is equal to or greater than a predetermined value, it is determined that a temporary user other than the vehicle owner is involved in the progression of damage (deterioration or breakage) to the vehicle.

[0037] The difference in the degree of abnormality at the time of comparison may be the time when a specific event is detected, or may be a predetermined time before or after the time when a specific event is detected (for example, the degree of abnormality at a time before the event by a predetermined time, or the degree of abnormality (predicted value) at a predetermined time after the event). Also, the average value of the differences between the first and second degrees of abnormality in the travel section (travel time or travel distance) from the previous event detection to the current event detection may be taken.

[0038] Furthermore, the magnitude of the difference between the first abnormality degree and the second abnormality degree may be evaluated based on the absolute value of the difference, or may be evaluated based on the ratio or proportion between the first abnormality degree and the second abnormality degree, or the like.

[0039] To make it easier to understand, a simple example will be explained. For example, if the sum of the deviations from the normal state of all vehicle signals 1 to 4 is treated as the abnormality level as described above, and the first abnormality level at the time of detection of a specific event is "14" and the second abnormality level is "21," the difference between the first abnormality level and the second abnormality level will be "7" (21-14=7). As described above, the first abnormality level is estimated from the transition of the abnormality level based on the driver's driving before the rental period.

[0040] As another example, if the average value for a driving section is taken for each hour, assuming that the first abnormality level one hour ago was "7" and the second abnormality level was "8", and the first abnormality level one hour later at the time of event detection was "14" and the second abnormality level was "21", the difference in the average abnormality level for the section will be "4" (((8-7)+(21-14)) / 2=4).

[0041] If the threshold for the difference is assumed to be "5," then in the first example where the difference is "7," it is determined that the temporary user's driving has caused damage to the vehicle parts, and that the temporary user is obligated to cover part of the repair costs. Note that if the first abnormality level is higher, no comparison with the threshold is made.

[0042] If the difference is equal to or greater than the threshold, the comparison unit 30 further calculates the contribution of the temporary user to the damage to the vehicle or vehicle parts. In the first example where the difference is "7", if the maximum possible difference is "100", then the contribution can be determined to be "7 / 100".

[0043] Furthermore, if the contribution is derived using the ratio or proportion of the first abnormality level and the second abnormality level, in the first example where the first abnormality level is "14" and the second abnormality level is "21", the contribution of the temporary user will be shown as "21 / (14+21)=60".

[0044] On the other hand, in the second example where the difference in the section average is "4", the difference is less than the threshold value "5", so it is determined that although there was slight damage caused by the temporary user's driving of the vehicle, there is no obligation to cover part of the repair costs (the vehicle owner is responsible for the full amount). In this case, the contribution rate is not calculated.

[0045] As an additional function of the comparison unit 30, the comparison unit 30 may acquire and record location information of a point or section where the difference between the first abnormality degree and the second abnormality degree becomes equal to or exceeds a predetermined threshold, and may further acquire and record information on the driving behavior of a temporary user at the time or section where the difference between the first abnormality degree and the second abnormality degree becomes equal to or exceeds a predetermined threshold.As a further additional function, the comparison unit 30 may refer to a repair and maintenance database (not shown) to determine an appropriate maintenance policy according to the target vehicle part, calculate the total amount required to replace or repair the target part in accordance with the maintenance policy, and display this maintenance policy together with the cost burden.

[0046] When the difference in the abnormality level is equal to or greater than a predetermined value, the transmitter 40 transmits necessary information or data to one or more display units 50. For example, the transmitter 40 transmits information that the temporary user's driving is involved in damage (deterioration or breakage) to the vehicle or vehicle parts that already require replacement or repair or may require replacement or repair in the future, data that serves as the basis for this determination (vehicle driving data, abnormality level, difference from the abnormality level, or other data), and information that allows the extent of vehicle damage (such as the wear state of the suspension) to be understood. Other data or information in any format can be included, such as video data from a driving recorder or the like, GPS information including location information indicating the driving section, and vehicle signals such as CAN data.

[0047] The display unit 50 generates an image to be displayed based on the information transmitted from the transmission unit 40 and displays it on a display. The display unit 50 is configured, for example, from a smartphone or personal computer owned by the owner or temporary user, or a display provided in the vehicle. In the present invention, necessary notifications are at least sent to the owner.

[0048] In one embodiment, the display unit 50 to which the transmission unit 40 transmits may include smartphones owned by the owner and the temporary user, as well as smartphones and personal computers of other related parties. The related parties may include, for example, a service provider that provides a matching service and its operator or manager, an insurance company with which the temporary user, owner, or service provider is subscribed, a lawyer or other person involved in negotiations who mediates liability allocation and payment, a dealer or repair shop that undertakes repairs, a person involved in towing services such as a tow truck, etc. Examples of display images displayed on the display unit 50 will be described later.

[0049] 3 is an explanatory diagram showing an example of changes in the first abnormality level (shown by line L1) and the second abnormality level (shown by line L2) for a certain vehicle part, with the horizontal axis representing driving time and the vertical axis representing the abnormality level. The period from time t1 to t2 is the rental period for the temporary user, so the owner drives the vehicle until time t1, the temporary user drives the vehicle from time t1 to t2, and the owner drives the vehicle from time t2 onwards. As shown in the figure, deterioration progresses as the vehicle is driven, so the abnormality level basically increases with the passage of time.

[0050] The characteristic shown as the first abnormality level is a characteristic based on the owner's actual driving during the period up to time t1 and the period after time t2, and is an estimated characteristic based on the change in the abnormality level up to time t1 during the period from time t1 to t2. Note that Figure 3 also shows estimated characteristics after time t2. As the abnormality level gradually increases in this way, at point P1 when the abnormality level reaches a certain upper limit, the vehicle part in question must be replaced or repaired.

[0051] On the other hand, the second abnormality level based on the driving of the temporary user is the characteristic required during the rental period from time t1 to t2. The characteristic of line L2 after time t2 is the characteristic assuming that the owner is driving again.

[0052] In the example of Figure 3, the temporary user's driving behavior is relatively reckless. As a result, the second abnormality level increases more rapidly during the rental period than the first abnormality level. Therefore, after the vehicle is returned to the owner at time t2, vehicle parts need to be replaced or repaired at point P2, which is earlier than point P1. In other words, the temporary user's driving shortens the lifespan of the vehicle parts compared to if the owner had driven the vehicle without renting it out. Typically, the owner does not know how the vehicle is driven during the rental period, and is therefore unable to know the damage to the vehicle or vehicle parts caused by the temporary user's driving during the rental period. This invention makes such risks to the owner apparent.

[0053] In the example of Figure 3, each time a specific event is detected during the rental period from time t1 to t2, the difference between the first abnormality level and the second abnormality level (which may be the interval average, as mentioned above) is calculated, and it is determined whether this difference is greater than or equal to a threshold value.

[0054] FIG. 4 is an explanatory diagram showing an example of a display on the display unit 50 for the owner. For example, an image like the one shown in the figure is displayed on the owner's smartphone via application software for the matching service. This example shows a case where tire wear has progressed significantly due to driving by a temporary user, and tire replacement may be necessary sooner. In other words, this does not determine whether tire replacement is actually necessary at this point, but corresponds to a case where the tire's lifespan has shortened from point P1 to point P2, as described in FIG. 3. In addition, this example notifies the owner of a specific event based on a comparison of the degree of abnormality at the end of the rental period.

[0055] As shown in Figure 4, area 101 at the top of the screen displays a text message stating that the temporary user is responsible for paying part of the repair costs and that they can submit photographs as proof. Area 102 on the left side of the screen displays a bar graph comparing the simulation results of the degree of failure at the end of use before and after use. Area 103 on the right side of the screen displays the details of the damage in text, with items such as "Type of Abnormality," "Faulty Part," "Maintenance Details," and "Repair Cost." In the illustrated example, this displays the possibility that two tires may need to be replaced. Area 104 at the bottom of the screen displays the cost sharing ratio between the owner and the temporary user, as well as the final amount the temporary user will have to pay.

[0056] The owner who receives such a notification will send, via the matching service application software, photographic data of the part (in this example, the tire) at least at the time of the expiration of the rental period to the temporary user, and can also send photographic data of the part before it was rented out if such data is available. Once the data is sent, the respective photographs will be displayed in two areas 105 and 106 prepared in advance on the right side of the screen. These photographic data will be used when notifying the relevant parties.

[0057] For vehicle parts where sound (for example, abnormal noises caused by deterioration) is more appropriate than photographs as proof of the obligation to pay repair costs, the owner will be required to provide sound data rather than photographic data.

[0058] In addition to or instead of the screen display shown in FIG. 4, the owner may be notified by voice and prompted to send the photo data by voice guidance.

[0059] FIG. 5 is an explanatory diagram showing an example of a display on the display unit 50 for temporary users. For example, an image like the one shown in the figure is displayed on a smartphone owned by the temporary user via a matching service application software. If the temporary user is driving the vehicle, a notification screen may be displayed on the display in the driver's seat of the vehicle. This example shows a case where the suspension wear has progressed significantly due to the temporary user's driving, and early suspension replacement may be necessary. In other words, although suspension replacement is not actually required at this point, as described in FIG. 3, this corresponds to a case where the suspension's lifespan is considered to have shortened from point P1 to point P2. This example also notifies the temporary user of a specific event based on a comparison of the abnormality level at the end of the rental period.

[0060] As shown in Figure 5, a text message appears in area 201 at the top of the screen, indicating that the temporary user is responsible for paying a portion of the repair costs, as well as the cost sharing ratio between the owner and the temporary user, and the final amount the temporary user will pay. Area 202 on the left side of the screen displays a bar graph comparing the simulation results of the degree of failure at the end of use, comparing the results before and after use. Area 203 on the right side of the screen displays the details of the damage in text, including the following sections: "Type of Abnormality," "Faulty Part," "Maintenance Details," and "Repair Cost." In the illustrated example, this section indicates that the suspension may need to be replaced. As can be seen from Figure 3, the suspension will not actually be replaced immediately at the end of the rental period; therefore, the "Repair Cost" is a current estimate of the future suspension replacement costs.

[0061] Additionally, buttons 204 and 205 are located on the right side of the screen to play sounds before and after use by the temporary user. When the temporary user touches these buttons 204 and 205 on a screen such as a touch screen, the temporary user can hear the sound coming from the target part, i.e., the suspension, and can confirm the change in sound. The sound data may be provided by the owner or may be acquired by the vehicle via some kind of detection device. Alternatively, it may be provided after the fact by a repair shop or the like.

[0062] By receiving such notice, the temporary user will be informed that he / she is responsible for paying part of the repair costs, along with the reason for this and the details of the repairs required.

[0063] Next, Fig. 6 is an explanatory diagram showing an example of a display on the display unit 50 for the aforementioned related parties. For example, a notification is sent after the fact to a service provider managing the matching service, related insurance companies, etc., and the image shown in the figure is displayed. This example corresponds to the example in Fig. 4 and shows an example in which tire wear has progressed significantly due to driving by a temporary user, and early tire replacement may be necessary.

[0064] In the example of Figure 6, a text message is displayed in area 301 at the top of the screen, informing the temporary user that the temporary user is responsible for paying part of the repair costs and indicating the cost sharing ratio between the owner and the temporary user. Area 302 on the left side of the screen displays the driving section that caused the tire wear, along with a map. Additional explanatory text is provided, such as "Location of sudden braking / acceleration," "Driving section: 30 km," "[Dangerous driving section] 30 km," and "[Content] Legal speed limit exceeded." Area 303 on the right side of the screen displays before- and after-use photo data (in this example, photos of the tire) provided by the owner or repair personnel, along with the source and date / time of the photo. Also located at the bottom right of the image are buttons 304 and 305, each with the text "Confirm repair details" and "Confirm contract details at time of use." By pressing these buttons 304 and 305, the relevant personnel can confirm the details of the required repairs and the contract details, including insurance.

[0065] Operating button 304 transitions to screen display 306 shown in Fig. 7. Here, an upper area 307 displays photos of the tire before and after use, along with markings of noteworthy areas, and a lower area 308 displays text including the items "Faulty Part," "Maintenance Details," "Cost of Response," and "Store."

[0066] Operating button 305 transitions to screen display 309 shown in Fig. 8. Here, the items "Owner's Plan," "Deductible," and "Attorney's Compensation" related to the owner's insurance, and "User's Plan" and "Attorney's Compensation" related to the temporary user's insurance are displayed in text form.

[0067] For example, the parties involved, such as the service provider of the matching service or the repair shop that received the repair request, can use this information to negotiate costs and proceed with the repair work.

[0068] The screen displays shown in FIGS. 4 to 8 are merely examples, and notifications or screen displays can be made in other appropriate formats.

[0069] 2 is a flowchart showing the processing flow in the vehicle data analysis device of the first embodiment. First, information about the occupant, i.e., the driver, is acquired (Step 1), and vehicle driving data is acquired (Step 2). Next, based on the information acquired in Step 1, it is determined whether the driver is the owner of the vehicle (Step 3).

[0070] If the driver is the owner, the process proceeds to step 4, where a transition in the first abnormality degree is predicted based on the vehicle driving data acquired in step 2 in order to predict a future failure.

[0071] On the other hand, if the driver is not the owner (in other words, a temporary user), proceed from step 3 to step 5, and calculate a second abnormality level based on the vehicle driving data acquired in step 2 after the temporary use began.

[0072] Next, in step 6, it is repeatedly determined whether a specific event has been detected, and if an event has been detected, the process proceeds to step 7, where the first abnormality degree and the second abnormality degree are compared to determine the difference.Then, the process proceeds to step 8, where it is determined whether the second abnormality degree is greater and the difference is equal to or greater than a predetermined threshold.

[0073] If the second abnormality level is smaller than the first abnormality level or if the difference is less than the threshold, the process proceeds from step 8 to step 9, where it is determined that the owner should bear the full cost of future repairs, and a message to that effect is sent, i.e., notified, to the display unit 50 (smartphone, etc.) of the corresponding owner, etc. In step 10, the result of this determination is displayed.

[0074] If the second abnormality degree is greater and the difference is equal to or greater than the threshold, the process proceeds from step 8 to step 11, where the contribution of the temporary user to the damage to the vehicle or vehicle parts is calculated. As described above, this is calculated based on, for example, the first abnormality degree and the second abnormality degree. Note that the contribution may also be calculated based on the difference between point P1 and point P2 shown in FIG. 3, i.e., the reduction in driving time or driving distance.

[0075] Next, the process proceeds to step 12, where it is determined based on the degree of contribution that the temporary user is obligated to bear part of the cost of future repairs of the part in question, and a notification to that effect is sent to the display unit 50 (smartphone, etc.) of the owner, etc. In step 10, the result of this determination is displayed.

[0076] Next, a second embodiment of the present invention will be described. The second embodiment constantly visualizes the transition of the abnormality level, thereby preventing the temporary user from assuming responsibility without realizing it, or enabling the temporary user to change his or her driving behavior before assuming responsibility. In other words, if the second abnormality level is somewhat higher than the first abnormality level, a warning is issued to the temporary user to call attention to the situation. On the other hand, by knowing the situation before the temporary user's responsibility actually occurs, the owner can take measures such as requesting the temporary user to stop using the vehicle.

[0077] 9 is a functional block diagram of a data analysis device according to the second embodiment. Similar to the first embodiment, this data analysis device includes a data acquisition unit 10, an abnormality degree calculation unit 20, a comparison unit 30, a transmission unit 40, one or more display units 50, a vehicle driving information database 70, and a reservation information database 80. It also includes an abnormality degree display unit 60.

[0078] The abnormality degree display unit 60 is a means for displaying the transition of the first abnormality degree and the second abnormality degree calculated by the abnormality degree calculation unit 20 on the display unit 50 in real time. The display unit 50 that displays the abnormality degree in real time preferably includes at least a display unit 50 for the owner and a display unit 50 for the temporary user so that both the owner and the temporary user can check the situation. Furthermore, since the temporary user will check the transition of the abnormality degree while driving the vehicle, it is preferable that the display unit 50 for the temporary user includes a vehicle display that can be seen from the driver's seat.

[0079] The abnormality level display unit 60 includes a notification transmission / reception unit 61. This notification transmission / reception unit 61 receives a notification request from the owner or temporary user and transmits a notification to the other party in response to the request. The notification may be automatically transmitted based on the magnitude of the difference, etc., without a notification request from the owner or other party. This notification may include, for example, some form of communication to alert the temporary user to their driving behavior, a text message inquiring about the situation regarding the abnormality level difference, or other appropriate communication means. Furthermore, depending on the content of the notification and the judgment of the temporary user and owner after the notification, the unit may be configured to restrict or terminate services, or to control the vehicle, such as restricting its driving performance. For example, the owner may request the temporary user to stop using the vehicle. This prevents the risk of the abnormality level difference expanding and causing significant damage or shared responsibility. The notification may be a one-way information presentation from one party to another, or a two-way communication format, such as a telephone call or chat. In addition, for example, in the event that the temporary user ignores a notification sent by the owner, the system may be configured to send notifications to other parties, such as the service provider managing the matching service or an insurance company.

[0080] FIG. 11 shows an example of a notification sent to the owner. For example, the following text information is displayed on the owner's smartphone, which serves as display unit 50. A message is displayed in area 401 at the top of the screen, informing the owner that the vehicle is deteriorating due to the temporary user's driving and that the owner can take the following measures. Then, at the bottom of the screen, four options or buttons are displayed, respectively, as indicated by reference numerals 402 to 405, to indicate options available to the owner: "Contact User," "Send a Warning Notice to User," "Send a Notice to User to Stop Use," and "Report to Service Operator." The owner can select one of these options on a screen such as a touchscreen, and an appropriate notification is sent to the temporary user or the service provider accordingly.

[0081] 10 is a flowchart showing the processing flow in the vehicle data analysis device of the second embodiment. First, information about the occupant, i.e., the driver, is acquired (Step 1), and vehicle driving data is acquired (Step 2). Next, based on the information acquired in Step 1, it is determined whether the driver is the owner of the vehicle (Step 3).

[0082] If the driver is the owner, the process proceeds to step 4, where a transition in the first abnormality degree is predicted based on the vehicle driving data acquired in step 2 in order to predict a future failure.

[0083] On the other hand, if the driver is not the owner (in other words, a temporary user), proceed from step 3 to step 5, and calculate a second abnormality level based on the vehicle driving data acquired in step 2 after the temporary use began.

[0084] Next, in step 6, it is repeatedly determined whether or not a specific event has been detected, and if an event has been detected, the process proceeds to step 7, where the first abnormality degree and the second abnormality degree are compared to find the difference.

[0085] In the second embodiment, after calculating the difference, the process proceeds to step 21, where the comparison result between the first abnormality level and the second abnormality level is transmitted to and displayed on the display unit 50 of the owner, the temporary user, and any other relevant parties as necessary. This allows the temporary user, for example, to understand the progress of the abnormality level each time an event such as a vehicle stop is detected. Similarly, the owner can check the progress of the abnormality level as needed during the rental period.

[0086] Next, in step 22, it is determined whether the owner or temporary user who received the notification of the abnormality level change has requested that a notification be sent to the other party (including other related parties). If the result is NO, the process proceeds to step 24, which will be described later.

[0087] If the owner or temporary user requests that a notification be sent to the other party, the process proceeds to step 23, where an appropriate notification is sent to the display unit 50 of the other party's smartphone or the like and displayed.

[0088] In the next step 24, it is determined whether either the owner or the temporary user has requested that the service be discontinued. If a request for discontinuation of service has been made, the process proceeds to step 25, where the service is discontinued via the matching service application software. At this time, the instruction to discontinue service is notified to at least the temporary user.

[0089] If there is no request to stop use, the process thereafter is the same as in the first embodiment. That is, the process proceeds to step 8, where it is determined whether the second abnormality level is greater and the difference is equal to or greater than a predetermined threshold value.

[0090] If the second abnormality level is smaller than the first abnormality level or if the difference is less than the threshold, the process proceeds from step 8 to step 9, where it is determined that the owner should bear the full cost of future repairs, and a message to that effect is sent, i.e., notified, to the display unit 50 (smartphone, etc.) of the corresponding owner, etc. In step 10, the result of this determination is displayed.

[0091] If the second abnormality degree is greater and the difference is equal to or greater than the threshold, the process proceeds from step 8 to step 11, where the contribution of the temporary user to the damage to the vehicle or vehicle parts is calculated. As described above, this is calculated based on, for example, the first abnormality degree and the second abnormality degree. Note that the contribution may also be calculated based on the difference between point P1 and point P2 shown in FIG. 3, i.e., the reduction in driving time or driving distance.

[0092] Next, the process proceeds to step 12, where it is determined based on the degree of contribution that the temporary user is obligated to bear part of the cost of future repairs of the part in question, and a notification to that effect is sent to the display unit 50 (smartphone, etc.) of the owner, etc. In step 10, the result of this determination is displayed.

[0093] Although one embodiment of the present invention has been described above, the present invention is not limited to the above embodiment and various modifications are possible. For example, the present invention can be applied to various types of vehicle rentals, not just to the matching service mediated by the service provider as described above.

[0094] In the present invention, the vehicle driving data preferably includes at least one of engine rotation speed, vehicle speed, degree of suspension deterioration, tire wear, engine intake information, engine ignition information, and engine combustion information.

[0095] In one preferred example, the second abnormality degree to be compared with the first abnormality degree is calculated based on the transition of the second abnormality degree from the start of driving the vehicle's power until just before the end of driving. Alternatively, the second abnormality degree to be compared with the first abnormality degree may be calculated based on the transition of the second abnormality degree from the start of driving the vehicle until the end of driving. Alternatively, the second abnormality degree to be compared with the first abnormality degree may be calculated based on the transition of the second abnormality degree from the start of use of the vehicle by the temporary user until the end of use. Alternatively, the second abnormality degree to be compared with the first abnormality degree may be calculated based on the transition of the second abnormality degree from the time the temporary user gets on the vehicle until the time he or she gets off the vehicle.

[0096] Furthermore, instead of being limited to calculating the difference as in the above embodiment, it is also possible to compare the characteristics of the progression of the second abnormality degree during a certain driving section determined by distance or time with the characteristics of the progression of the first abnormality degree estimated for the corresponding driving section.

[0097] In another example, when it is determined that the second abnormality level is greater than the first abnormality level during rental, the temporary user may be notified of a warning urging caution in driving and of the possibility of damage to vehicle parts involving the temporary user.

[0098] In another example, when the second abnormality level is greater than the first abnormality level, the first abnormality level, the second abnormality level, the difference between the two, and the vehicle driving data that forms the basis of these abnormality levels may be transmitted to the relevant insurance company or its agent.

[0099] In another example, when the difference between the first abnormality degree and the second abnormality degree is equal to or greater than a predetermined threshold, a relevant vehicle maintenance person may be notified with an instruction to inspect the relevant vehicle part. [Explanation of symbols]

[0100] 10...Data acquisition section 11...Occupant data acquisition section 12...Occupant determination section 13...Driving data acquisition unit 20…Abnormality calculation unit 30...Comparison section 40...Transmitter 50...Display section 60... Abnormality degree display section 61...Notification sending and receiving unit 70...Vehicle driving information database 80...Reservation information database

Claims

1. Identifying whether the driver is an owner or a temporary user; Vehicle driving data obtained by the owner before the vehicle is rented out is acquired, and based on this data, a transition in the degree of abnormality of a specific vehicle part due to the owner's driving is determined; The degree of abnormality during the rental period to the temporary user is estimated as a first degree of abnormality based on the change in the degree of abnormality due to the owner's driving, acquiring vehicle driving data driven by the temporary user while the vehicle is being lent to the temporary user, and calculating a second abnormality degree of the vehicle part based on the data; comparing the first abnormality degree with the second abnormality degree, and notifying at least the owner of information relating to a discrepancy between the first abnormality degree and the second abnormality degree; Vehicle data analysis methods.

2. When the difference between the first abnormality level and the second abnormality level is equal to or greater than a predetermined threshold, the vehicle owner is notified that there is damage to the vehicle part caused by the temporary user. The vehicle data analysis method according to claim 1 .

3. notifying the temporary user that there is damage to the vehicle part in which the temporary user is involved when the difference between the first abnormality degree and the second abnormality degree is equal to or greater than a predetermined threshold value; The vehicle data analysis method according to claim 1 .

4. Calculate the temporary user's share of responsibility for the damage to the vehicle parts and notify the user of this share of responsibility. The vehicle data analysis method according to claim 2 or 3.

5. The vehicle driving data includes at least one of engine rotation speed, vehicle speed, degree of suspension deterioration, tire wear, engine intake information, engine ignition information, and engine combustion information. The vehicle data analysis method according to claim 1 .

6. The transition of the abnormality degree is obtained using either the vehicle travel distance or the vehicle travel time as a parameter. The vehicle data analysis method according to claim 1 .

7. calculating a second abnormality degree to be compared with the first abnormality degree based on a transition of the second abnormality degree from the start of driving the vehicle power to immediately before the end of driving; The vehicle data analysis method according to claim 1 .

8. calculating a second abnormality degree to be compared with the first abnormality degree based on a transition of the second abnormality degree from the start of traveling to the end of traveling of the vehicle; The vehicle data analysis method according to claim 1 .

9. calculating a second abnormality degree to be compared with the first abnormality degree based on a transition of the second abnormality degree from the start of use of the vehicle by the temporary user to the end of use; The vehicle data analysis method according to claim 1 .

10. calculating a second abnormality degree to be compared with the first abnormality degree based on a transition of the second abnormality degree from when the temporary user gets on to the vehicle until when he or she gets off; The vehicle data analysis method according to claim 1 .

11. Identifying the driver by referring to a usage request including the temporary user's personal information sent by the temporary user when renting the vehicle; The vehicle data analysis method according to claim 1 .

12. comparing the characteristics of the transition of the second abnormality degree during a certain travel section determined by distance or time with the characteristics of the transition of the first abnormality degree estimated for the corresponding travel section; The vehicle data analysis method according to claim 1 .

13. When it is determined that the second abnormality level is greater than the first abnormality level during the rental, a warning is issued to the temporary user to urge him / her to be careful in driving and to notify the temporary user that there may be damage to a vehicle part involved with the temporary user. The vehicle data analysis method according to claim 1 .

14. When it is determined that the second abnormality level is greater than the first abnormality level during the rental, the owner is notified with a message that there may be damage to a vehicle part caused by the temporary user and that the owner is recommended to contact the temporary user regarding future use of the vehicle. The vehicle data analysis method according to claim 1 .

15. When the second abnormality degree is greater than the first abnormality degree, providing an indication of the target vehicle part to at least one of the owner, the temporary user, the rental service manager, and a repair person; The vehicle data analysis method according to claim 1 .

16. Responding to a request to cease use voluntarily submitted by the Owner or the Temporary User, notify at least the Temporary User of the instructions to cease use; The vehicle data analysis method according to claim 1 .

17. When the second abnormality degree is greater than the first abnormality degree, the first abnormality degree, the second abnormality degree, the difference between the two, and the vehicle driving data on which these abnormality degrees are based are transmitted to a related insurance company or its agent. The vehicle data analysis method according to claim 1 .

18. When the difference between the first abnormality degree and the second abnormality degree is equal to or greater than a predetermined threshold, a relevant vehicle maintenance person is notified of an instruction to inspect the vehicle part. The vehicle data analysis method according to claim 1 .

19. acquiring and recording location information of a point or section where the difference between the first abnormality degree and the second abnormality degree is equal to or greater than a predetermined threshold; The vehicle data analysis method according to claim 1 .

20. Acquire and record information on the driving behavior of the temporary user at the time or in the section where the difference between the first abnormality degree and the second abnormality degree is equal to or greater than a predetermined threshold. The vehicle data analysis method according to claim 1 .

21. calculating a total cost required for maintenance or replacement of the vehicle part for which the difference between the first abnormality degree and the second abnormality degree is equal to or greater than a predetermined threshold; Calculate the temporary user's share of responsibility for the damage to the vehicle parts mentioned above, Based on this allocation of responsibility, at least the amount of the temporary user's contribution will be displayed. The vehicle data analysis method according to claim 1 .

22. When the difference between the first abnormality degree and the second abnormality degree is equal to or greater than a predetermined threshold, information regarding the state of the target vehicle part before rental and information regarding the state of the target vehicle part after rental are displayed in comparison with each other. The vehicle data analysis method according to claim 1 .

23. Determine an appropriate maintenance policy for the vehicle part in question, The total amount above was calculated in accordance with this maintenance policy, This maintenance policy is also displayed.

22. The method of analyzing vehicle data according to claim 21.

24. When the difference between the first abnormality degree and the second abnormality degree is equal to or greater than a predetermined threshold, information regarding the state of the target vehicle part before and after rental, vehicle driving data that is the basis for the first abnormality degree and the second abnormality degree, and the allocation of responsibility of the temporary user and the owner for damage to the vehicle part are transmitted to relevant parties other than the owner and the temporary user. The vehicle data analysis method according to claim 1 .

25. an occupant acquisition unit that identifies whether the driver is the owner or a temporary user; a driving data acquisition unit that acquires vehicle driving data driven by the owner before the vehicle is rented out and also acquires vehicle driving data driven by the temporary user while the vehicle is rented out to the temporary user; an abnormality degree calculation unit that calculates a transition in the degree of abnormality of a specific vehicle part due to the owner's driving based on the owner's vehicle driving data, estimates the degree of abnormality during the rental period to the temporary user as a first abnormality degree based on this transition in the degree of abnormality due to the owner's driving, and calculates a second abnormality degree of the vehicle part based on the temporary user's vehicle driving data; a comparison unit that compares the first abnormality degree with the second abnormality degree; a transmitter that notifies at least the owner of related information when the second abnormality level is greater than the first abnormality level; A vehicle data analysis device comprising:

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