JP3982470B2 - Vehicle management information providing system and method, and vehicle management information providing program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide proper vehicle management information for a user in a system which predicts and provides component replacement information for the user in accordance with the type of a vehicle having components mounted thereon and user's driving characteristics of the vehicle. <P>SOLUTION: A vehicle management information providing system is provided with; an all-vehicle average calculation function of storing replacement period data of specific parts in the user's vehicle and other vehicles and calculating average replacement periods of specific parts of all vehicles in the replacement period data; a specific vehicle type average calculation function of calculating average replacement periods of specific parts of the same type of vehicles as the user's vehicle in the replacement period data; a specific vehicle type correction value calculation function of calculating type-classified replacement period correction values caused by the type of the user's vehicle, of specific parts by comparing the calculated all-vehicle average replacement periods and average replacement periods of specific types of vehicles; and a replacement period information providing function of calculating next replacement periods of specific parts of the user's vehicle on the basis of the calculated type-classified replacement period correction values and providing this next replacement period information for the user. <P>COPYRIGHT: (C)2005,JPO&amp;NCIPI

Description

  The present invention relates to a vehicle management information providing system, and more particularly, to a system that predicts and provides parts replacement information to a user according to the type of vehicle on which the parts are mounted and the driving characteristics of the user of the vehicle.

  Conventionally, a vehicle management system having a function of calculating a specific part of a vehicle or a replacement time of a component has been considered, and this system is used to manage a durability period or a durable mileage of a component, etc. Was notified of information on the replacement time and replacement mileage. For example, a method of predetermining that “the tire will be replaced next time after running for 24 months or 25000 km”, managing the time for each user, and notifying the user before the time arrives. Adopted. There is also a method of recording the state of the user vehicle that has visited for inspection and adjusting the notification time of the next replacement time in consideration of the state. A specific example of such a conventional system will be described with reference to Patent Documents 1 and 2 shown below.

  First, in patent document 1, it is a system used in the service station of a motor vehicle, Comprising: The travel distance recorded when exchanging the predetermined site | part and components of a user vehicle, and the present travel distance of the said user vehicle This is a system in which a difference is taken and the difference data is compared with a predetermined replacement guide travel distance to calculate the next replacement time. Similarly, a technique is also disclosed in which a difference between a date and time when a predetermined part is replaced and a current date and time is taken and a next replacement time is calculated by comparing with a predetermined replacement reference period. Thus, when the user visits the service station, the user is notified of the next replacement time, so that the user can easily grasp the next component replacement time.

  Moreover, in patent document 2, it is a system which can be utilized from the terminal of the home connected to the network, Comprising: First, a user is information regarding the own vehicle, for example, vehicle inspection expiration date, last vehicle inspection date, last equipment replacement date, monthly driving The distance or the like is input to the own terminal, and the data is transmitted to the computer that is the center of the system via the network. The computer stores in advance total travel distance data provided by a vehicle parts manufacturer or the like until the end of the service life of each vehicle part. This computer calculates the replacement time of parts from the data received from the user and the stored total mileage data, and provides information regarding this and introduction of the parts distributor. As a result, the user can appropriately manage the vehicle.

JP 2002-140447 A JP 2002-288366 A

  However, since the above-described conventional vehicle management system regards the “parts” and “parts” (hereinafter collectively referred to as “parts”) of each user vehicle as a uniform one, the following problems Occurs. In other words, any “parts” of any vehicle type or “parts” of a vehicle on which any user rides is determined based on a fixed period of use and travel distance. Exchange is performed without considering the state of wear or the like due to different use. Therefore, there may occur a situation in which parts that do not need to be replaced that have not reached the end of their lives may be replaced, resulting in a wasteful cost. On the other hand, there is a problem that a part that needs to be replaced that has passed its life has been used without being replaced as it is, and this has an effect on the running of the vehicle.

  For example, even if the vehicle has a high durability, a vehicle with a relatively low durability, or the same “parts” mounted on both vehicles, information on the next replacement time will be provided with the same deadline and mileage. As a result, there is an inconvenience that the parts of one vehicle type are exchanged in a state where the service life is not completely satisfied, or the parts of the other vehicle type are used until the service life is exceeded. In addition, even for “parts” mounted on the user's vehicle that often step on the brake, the next time with reference to the fixed durability period and durability mileage without taking into account the driving characteristics of each user. Since the replacement time information is provided, the same problem as described above occurs.

  Therefore, in the present invention, the part replacement time is calculated in consideration of the characteristics of the vehicle type in which the “parts” are mounted and the driving characteristics of the user of the vehicle, and the replacement time is improved so as to be suitable for the user. The purpose is to provide parts management information.

  The present invention adopts the following configuration in order to achieve the above object.

First, the vehicle management information providing system of the present invention accumulates customer vehicle check data related to a plurality of vehicles, and an application server that fetches customer vehicle check data indicating the maintenance status of each part of the vehicle as needed for a plurality of vehicles including a user vehicle. A data center server that stores data as replacement period data, a user average calculation function that calculates an average replacement period of a specific part in the user vehicle with reference to the replacement time data, and a specification in the same vehicle type as the user vehicle with reference to the replacement time data A vehicle management information providing system comprising a data mart server having a specific vehicle type average calculating function for calculating an average replacement period of a part, wherein the data mart server refers to replacement time data and other users of the same user as the user vehicle The same vehicle including other vehicles and the average replacement period of specific parts in other vehicles And calculating an average replacement period calculated by the specific vehicle type average calculation function and an average replacement period calculated by the user average calculation function. And a specific user correction value calculation function for calculating an average of both correction values as a user-specific replacement time correction value, and the application server indicates the next replacement time of a specific part of the user vehicle. The next replacement time information is created and output in consideration of a user-specific replacement time correction value in a predetermined endurance period of a specific part.

According to such a vehicle management information providing system, the exchange period data indicating the maintenance status of a plurality of accumulated vehicles is analyzed, and the average value of the exchange period of the specific part of the user vehicle is identical to that including the user vehicle. The correction value depending on the user vehicle is obtained from the average value of the replacement period of the specific part in the vehicle type, and other vehicles of the same user as the user vehicle, that is, the specific part in the other vehicle that the user owns in the past or in the past A correction value depending on the user's driving characteristics can be obtained from the average value of the replacement period and the average value of the replacement period of the specific part in the same vehicle type including other vehicles. Since the next replacement time of the specific part of the user vehicle is calculated according to both the correction values, the specific part replacement period specific to the user vehicle can be provided with high accuracy.

  Next, the vehicle management information providing method of the present invention includes vehicle management information including an application server for transmitting and receiving data, a data center server for storing data, and a data mart server for extracting and processing the stored data. In the providing system, the application server takes in the customer vehicle check data indicating the maintenance status of each part of the vehicle at any time for a plurality of vehicles including the user vehicle, and the data center server checks the customer vehicle regarding the plurality of vehicles. A data accumulation process for accumulating data and storing it as exchange period data, and a correction value for the data mart server to add to the next exchange time information indicating the next exchange time of a specific part of the user vehicle with reference to the customer vehicle check data Correction value calculation process to be performed and the application server A replacement time information providing step for calculating and outputting the value according to the correction value, and the correction value calculation step is a user average calculation in which the data mart server refers to the replacement time data and calculates an average replacement period of a specific part in the user vehicle. The process, the specific vehicle type average calculation process in which the data mart server refers to the replacement time data and calculates the average replacement period of the specific part in the same vehicle type as the user vehicle, and the data mart server refers to the replacement time data and is the same as the user vehicle Calculate the average replacement period of the specific part in the other vehicle of the user and the average replacement period of the specific part in the same vehicle type including this other vehicle, calculate the correction value based on both average replacement periods, and specify Calculate the correction value based on the average replacement period calculated by the vehicle average calculation process and the average replacement period calculated by the user average calculation process A specific user correction value calculation step of calculating an average of both correction values as a user-specific replacement time correction value. In the replacement time information providing step, the application server sets the next replacement time information as a predetermined specific part. It is created and output in consideration of the replacement time correction value for each user during the endurance period.

According to such a vehicle management information providing method, the exchange period data indicating the maintenance status of a plurality of accumulated vehicles is analyzed, and the average value of the exchange periods of specific parts of the user vehicle is identical to that including the user vehicle. The correction value depending on the user vehicle is obtained from the average value of the replacement period of the specific part in the vehicle type, and other vehicles of the same user as the user vehicle, that is, the specific part in the other vehicle that the user owns in the past or in the past A correction value depending on the user's driving characteristics can be obtained from the average value of the replacement period and the average value of the replacement period of the specific part in the same vehicle type including other vehicles. Since the next replacement time of the specific part of the user vehicle is calculated according to both the correction values, the specific part replacement period unique to the user vehicle can be calculated with high accuracy.

  Next, the program for providing vehicle management information according to the present invention provides the user vehicle check data indicating the maintenance status of each part of the vehicle to the computer configured to present the next replacement period of the specific part in the user vehicle. Data acquisition step for acquiring a plurality of vehicles including the vehicle from time to time, a data storage step for storing customer vehicle check data relating to the plurality of vehicles and storing them as replacement period data, and a specific part of the user vehicle with reference to the customer vehicle check data A correction value calculating step for calculating a correction value for adding to the next replacement time information indicating the next replacement time, and an information providing step for calculating the next replacement time information according to the correction value and outputting the information to the user side A program for providing vehicle management information, in which a correction value calculation step is performed by referring to replacement time data. A user average calculating step for calculating an average replacement period for a specific part in the vehicle, a specific vehicle type average calculating step for calculating an average replacement period for a specific part in the same vehicle type as the user vehicle with reference to the replacement time data, and replacement time data The average replacement period of the specific part in the other vehicle of the same user as the user vehicle and the average replacement period of the specific part in the same vehicle type including the other vehicle are calculated, and a correction value is calculated based on both average replacement periods. And a correction value is calculated based on the average replacement period calculated by the specific vehicle type average calculation step and the average replacement period calculated by the user average calculation step, and the average of both the correction values is calculated as a user-specific replacement time correction value. The specific user correction value calculation step calculated as follows is specified, and the information providing step is determined in advance. Characterized in that the specified contents to considering the user-specific replacement timing correction value to create the next replacement time information output in the durable period of the specific portion was.

By causing the computer to execute such a vehicle management information providing program, data indicating the maintenance status of a plurality of vehicles is accumulated, the accumulated data is analyzed, and an average value of replacement periods of specific parts of the user vehicle And a correction value depending on the user vehicle from the average value of the replacement period of the specific part in the same vehicle type including the user vehicle, and another vehicle that is the same user as the user vehicle, that is, the user is present or past A correction value that depends on the driving characteristics of the user can be obtained from the average value of the replacement period of the specific part in the other owned vehicle and the average value of the replacement period of the specific part in the same vehicle type including this other vehicle. . Then, since the next replacement time of the specific part of the user vehicle is calculated according to both the correction values, the specific part replacement period specific to the user vehicle can be calculated with high accuracy.

  By adopting the above configuration, first, the average replacement period or average replacement travel distance in all vehicles of a specific part or specific part, and similarly, the average replacement period or average replacement travel distance in a specific vehicle type of the specific part or specific part, Calculated. Then, by comparing these, a correction value for calculating the next replacement period or the exchange travel distance is calculated based on the characteristics of the replacement period or the exchange travel distance of the specific part or the like in the specific vehicle type.

  Further, the average replacement period or average replacement travel distance of the specific part or specific part in the vehicle owned by the specific user is calculated, and the average replacement period or average replacement travel distance in the specific vehicle type calculated as described above is calculated. By comparison, a correction value for calculating the replacement period or the replacement travel distance is calculated based on the driving characteristics of the user.

  Then, the next replacement time or the replacement travel distance is calculated based on one or both of the correction values, and the information is provided to the user. In this way, since the vehicle type characteristics owned by the user, the driving characteristics of the user, and the like are taken into account, the next replacement time or replacement travel distance of the replacement part or part is calculated, so that more accurate information can be provided. As a result, it is possible to realize replacement at an appropriate time, and it is possible to effectively suppress problems such as waste of replacement parts and the like, which affect the running state of the vehicle due to interruption of the replacement time.

  In addition, by considering the driving characteristics of the user in the past user vehicle, it is possible to provide more accurate next replacement time / travel distance information. And when calculating each average of replacement time, etc., by removing values that deviate significantly from other values, it is possible to prevent the normal replacement time from shifting due to user preferences, etc., and even higher accuracy It is possible to provide information such as the time for replacement.

Hereinafter, with respect to one embodiment of the present invention, first, the overall image of the basic operation of the vehicle management information providing system of the present embodiment will be described, and then a specific example based on a specific configuration will be shown. explain. Figure 1 is a Ru der those data mart server 14 described below of the present embodiment showing the data used for the operation schematically.

This embodiment is a Resid stem be available to the user with a vehicle, and predicts the next replacement time of the specific portion of the user vehicle, a vehicle management information providing system for providing the replacement time information to the user.

The data center server 12 described later in the system of the present embodiment stores replacement time data D (D1, D2, D3,...) Of specific parts in the user vehicle and other vehicles. Data D is the information regarding replacement timing of each vehicle is stored, the user and the owner of the vehicle, vehicle type, is stored information such as site is exchanged is associated, these keys Can be identified as

Further, in the system of the present embodiment , the data mart server 14 described later is a correction value used for calculating the next replacement time of the specific part of the user vehicle from the replacement time data D, and the vehicle type of the user vehicle. a vehicle type replacement timing correction value DR1 caused by, that put calculate a user-specific replacement timing correction value DR2 due to the operating characteristics of the user. Hereinafter, these calculation methods will be briefly described.

  First, the vehicle type replacement timing correction value DR1 calculates the average endurance period DA of all vehicle type specific parts (vehicle type 1, car type 2, part 1) and the average endurance period of the specific car type specific part (vehicle type 1, part 1). DB is calculated and the difference between these is calculated. And it ranks for every specific vehicle type specific site | part using the "endurance period-> rank corresponding table" prepared beforehand mentioned later from the difference value. Further, the vehicle type replacement timing correction value DR1 is calculated for each specific vehicle type specific part by using the rank, using “rank → vehicle type-dependent correction value” prepared in advance, which will be described later.

  Next, the user-specific replacement time correction value DR2 will be described. First, the average durability period DC is calculated for a specific customer vehicle specific part (vehicle 5, vehicle type 1, part 1). In FIG. 1, since there is only one specific customer (user) data, the value is average. However, when there are two or more vehicles of the same user, the average durability of those specific parts Calculate the period. The difference between the average endurance period DC and the average endurance period DB of the specific vehicle type specific part calculated in the process of obtaining the vehicle type replacement timing correction value DR1 is calculated, and the specific specific vehicle specification with respect to the vehicle type average is calculated using the difference. Calculate the rank of the part. Then, the user-specific replacement time correction value DR2 is calculated using the correspondence table “rank → customer-dependent correction value”.

  In addition, there is a possibility that two or more vehicles, including those in the past, owned by the same customer (user) or stored in advance in the computer may exist. A time correction value is also calculated. And the correction value for every site | part is calculated for every customer by averaging the correction value of each vehicle of the same user. This quantifies the customer's individual operating characteristics. Therefore, for example, it is possible to calculate a correction value reflecting the customer's driving characteristics, such as “a certain customer operates the brake softly but the wiper overuses”.

The present embodiment calculates the next replacement time of the specific part or parts of the user vehicle, but a system of notifying the user is not limited to, it notifies the user to calculate the next replacement mileage You may comprise as follows.

  Accordingly, by adding the vehicle type replacement time correction value and the user-specific replacement time correction value calculated as described above, it is possible to calculate the next replacement time with higher accuracy, and to provide appropriate replacement time information for the user. Can be provided. Hereinafter, in each embodiment, a specific system configuration will be described.

A specific example 1 in this embodiment will be described with reference to FIGS. FIG. 2 is a block diagram illustrating the configuration of the system according to the first embodiment . FIG. 3 is a diagram illustrating a configuration of data stored in the system according to the first embodiment . FIG. 4 is a flowchart illustrating the operation of the system according to the first embodiment . 5 to 7 are diagrams illustrating specific examples of data stored in the system according to the first embodiment . 8 to 9 are flowcharts showing a part of the operation of the system according to the first embodiment .

(Constitution)
First, the configuration of the vehicle management information providing system according to the first embodiment will be described with reference to FIG. The system according to the first embodiment is a system in which a vehicle management information providing system including an application server 11, a data warehouse 13, and a data mart server 14, and a plurality of user terminals 1 are connected via a network N. is there. The overall system including the user terminal 1 is constructed by a general three-layer WEB system, a data warehouse 13, and a data mart server 14 .

  Here, the three-layer WEB system is a system constructed by a WEB browser, a WEB server, and a database, and is realized by the user terminal 1, the application server 11, and the data center server 12. The application server 11 transmits / receives data to / from the user terminal 1 and provides vehicle management information. The data center server 12 is connected to the application server 11 and stores data related to user vehicle management. Further, a data warehouse 13 and a data mart server 14 are connected to the data center server 12. Data stored in the data center server 12 is transmitted to the data warehouse 13, and the data mart server 14 extracts and processes the data.

  The outline of the data flow in the system will be described below. First, the user operates the user terminal 1 to access the application server 11 and transmits user vehicle check data (arrow A1). Then, the application server 11 accesses the data center server 12 and transmits user vehicle check data (arrow A2). Information stored in the data center server 12 on business is transmitted to the data warehouse 13 through batch processing (arrow A3). Thereafter, data is extracted and processed by the data mart server (arrow A4), and the processed data is reflected on the data center server 12 as various masters (arrow A5). Then, the application server 11 acquires various rank data from the data center server 12 (arrow A6), calculates the next replacement time for each part of the specific vehicle type, and transmits it to the user terminal 1 (arrow A7).

  Although the overall configuration in the present embodiment has been described above, the infrastructure configuration of the three-layer WEB system, the data warehouse 13, the data mart server 14, and the like is well known to those skilled in the art, and thus detailed description thereof is omitted. .

Next, a description will be given to the application server 11 and the data warehouse 13 and the data mart server 14 constituting the vehicle management information providing system of the first embodiment. In addition, the vehicle management information provision system of the first embodiment may be configured by a single server computer.

First, with reference to FIG. 3, the table structure of the database constructed in the data center server 13 will be described. The following five tables are necessary for this system. They are “customer vehicle master”, “customer master”, “customer rank master”, “part-specific master”, and “customer vehicle check data”.

  The “customer vehicle master” has the main key as “vehicle code”, and has “vehicle type code”, “customer code”, “endurance period rank by customer vehicle”, and “endurance mileage rank by customer vehicle” as attributes. “Customer master” has a primary key as “customer code” and “name” and “address” as attributes. The “customer rank master” has “part code” and “customer code” as main keys and “customer rank by part” as an attribute. The “part-by-part master” has “part-part code” and “vehicle model code” as main keys, and has “part-part name”, “part-part endurance period rank”, and “part-part endurance mileage rank” as attributes. “Customer vehicle check data” has “part code” and “vehicle code” as main keys, and “last replacement date”, “last travel distance”, “last check date”, “last check travel distance” ”And“ State classification at the time of final inspection ”are held as attributes. The data of this table exists for one specific part of a specific vehicle, and represents the maintenance state of the vehicle part. These data are called exchange time data. Further, in the above, the term “customer” is synonymous with “user”.

And, the data mart server 14, and the total vehicle average calculation function for calculating the average exchange period of the specific portion in the whole vehicle in replacement time data, average exchange period of the specific portion of the user vehicle and the same model of the replacement time data Specific vehicle type average calculation function for calculating the vehicle, user average calculation function for calculating the average replacement period of the specific part in the vehicle owned by the user among the replacement time data, the calculated average replacement period for all vehicles and the average for the specific vehicle type A specific vehicle type correction value calculation function for comparing the replacement period and calculating a vehicle type replacement time correction value caused by the user vehicle model of the specific part, and the calculated average replacement period for the specific vehicle type and the average replacement period for the user And a specific user correction value calculation function for calculating a user-specific replacement time correction value caused by a user at a specific part. .

  Further, the application server 11 calculates the next replacement time of the specific part of the user vehicle based on the calculated vehicle type replacement time correction value and the user-specific replacement time correction value, and provides the next replacement time information to the user. It has a function to provide information on replacement time. Thereby, it is possible to provide highly accurate next replacement time information to the user terminal 1 that has accessed through the network N.

Here, each function of the data mart server 14 may be any of the application server 11, the data warehouse 13, and the data mart server 14 . That is, it is only necessary that the system can be integrated to realize the operation. And about each said function, the function content may be programmed and it may be comprised so that a computer may perform.

(Operation)
Next, a specific operation of the above-described system will be described with reference to FIGS. FIG. 4 is a flowchart showing an outline of the operation of the system. The overall operation of the system will be described with reference to this figure.

  First, when the user accesses the application server 11 via the user terminal 1 (step S1), the user is identified based on the information transmitted from the user terminal 1. At this time, if the user is a new customer or the user has accessed a new vehicle (affirmative determination in step S2), new registration is performed with respect to the data center server 13, and the customer code / vehicle A code is assigned (steps S3 and S4). On the other hand, if it is an existing customer or an existing vehicle, a search in the data center server 12 is performed to acquire a customer code / vehicle code (steps S5 and S6).

Subsequently, the final replacement time information and the final inspection time information of the specific part of the user vehicle are acquired (steps S7 and S8), and the final replacement time and the final inspection time are compared (step S9). If the final replacement time is newer (or equal) (Yes in step S9), the next replacement time calculation process A is performed (step S10). Here, the next replacement time calculation process A is a process of calculating the next replacement time by the following equation.
Next replacement time = final replacement time + part endurance period + car type replacement time correction value + user-specific replacement time correction value. That is, in the conventional case, the next replacement time is calculated by adding a predetermined endurance period of the replacement target part to the previous replacement time. A more accurate replacement time is calculated by adding the time correction value. Thereafter, the calculated replacement time information is transmitted to the user terminal 1.

  Here, the formula for calculating the next replacement time is not limited to the above formula. Each of the correction values may be an expression in which only one of them is added. In addition, the basic replacement time is calculated by adding the part durability period to the final replacement time, but this part durability period is, for example, a period calculated in advance by a manufacturer that specializes in replacement parts, It may be an average replacement period for all vehicles.

If the final inspection time is newer in the process of step S9, the next replacement time is calculated in the next replacement time calculation process B shown in the following equation (step S11).
Next replacement time = final replacement time + part endurance period + final inspection time adjustment value + car type replacement time correction value + user-specific replacement time correction value. Thus, in step S11, the final inspection time adjustment value is newly added to step S10 because the inspection is performed after exchanging the parts. The final inspection time correction value is a correction value set according to the state of the vehicle at the time of vehicle maintenance, and is registered in the data center server 12 as “final inspection state classification”. The next replacement time is corrected based on this data.

  In any case, this system is characterized in that the characteristics of the vehicle type and the customer are reflected in the next replacement time as “car type replacement time correction value” and “user-specific replacement time correction value”. Each of the correction values is data registered in the data center server 12. The data is stored in the data mart server 14 based on the past replacement time data registered in the data center server 12. An example of the calculation method will be described below. These correction values may be calculated when the user terminal 1 is accessed for inquiring about the next replacement time, or may be performed whenever the registered vehicle replacement time data is updated. It may be broken.

  First, a method for calculating the vehicle type replacement time correction value will be described. It is assumed that data for identifying a customer, a vehicle, a vehicle type, and a part to be exchanged as shown in FIG. 5 and the exchange date are registered in the data center server 12 in advance. In addition, as shown in FIG. 7, preset “endurance period → rank” (FIG. 7A), “rank → vehicle type-dependent correction value” (FIG. 7B), “rank → customer-dependent correction value”. ”(FIG. 7C) are registered as examples of various correspondence tables.

  Here, it is assumed that the next replacement time correction value of the specific part 1 in the vehicle type of the vehicle type code 100 is calculated in the data of FIG. At this time, first, an average durability period of a specific part in all vehicle types is calculated (all vehicle average calculating step). A flowchart showing this calculation procedure is shown in FIG.

  First, the replacement date of a specific part is acquired from all vehicle types. At this time, all the same specific parts of the same vehicle type with different replacement dates are acquired (step SA1). In the case of FIG. 5, since there is no one with the same replacement date, the item numbers 1, 2, 3, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15 and 16 correspond.

Subsequently, the difference between the exchange dates of the acquired data is calculated (step SA2). Specifically, the difference between successive replacement dates in the same replacement site of the same vehicle is taken, and the durability period of the site is calculated. In this example, it is as follows.
S1 = item number 2−item number 1 = 2003.8.1-2003.1.1 = 210 days,
S2 = item number 3−item number 2 = 60 days S3 = item number 5−item number 3 = 270 days S4 = item number 7−item number 6 = 300 days S5 = item number 9−item number 8 = 240 days S6 = Item number 12-Item number 11 = 150 days S7 = Item number 13-Item number 12 = 150 days S8 = Item number 15-Item number 14 = 210 days S9 = Item number 16-Item number 15 = 180 days

  Then, of the calculated differences, those whose values deviate greatly are excluded (step SA3). For example, each value is compared with the average of all other values, and the value that is most distant is excluded. In this example, since S2 is farthest away, such a value is removed. This is to improve the accuracy of the next replacement time calculated later by excluding an exceptional replacement period such as replacement of a part earlier than the original endurance time due to customer preference. At this time, the value to be excluded may be selected from among the vehicle types (vehicle type code 100) that are subject to correction value calculation.

Thereafter, the average durability period of all vehicle type specific parts is calculated. In this case, the average of S1 to S9 calculated above is obtained as follows.
Average endurance period = (210 + 270 + 300 + 240 + 150 + 150 + 210 + 180) / 8 = about 213 days These 213 days are the average endurance period for all parts of a specific part (part code: 1).

  Next, the average endurance period of the specific vehicle type specific part is calculated (specific vehicle type average calculation step). The general flow is the same as that described above, but FIG. 6B shows the flow. In other words, “all vehicle types” is simply replaced with “specific vehicle types”. As an example, an average exchange period in which the vehicle type code is 100 is calculated.

First, item numbers 1, 2, 3, 5, 6, and 7 are selected (step SB1). Then, a difference between these (endurance period) is obtained (step SB2). In this example, it is as follows.
S1 = item number 2−item number 1 = 210 days S2 = item number 3−item number 2 = 60 days S3 = item number 5−item number 3 = 270 days S4 = item number 7−item number 6 = 300 days

Subsequently, since the value of S2 is significantly different from the others, it is excluded (step SB3). Then, the average endurance period of the specific vehicle type specific part that is the average of the remaining S1, S3, and S4 is calculated (step SB4).
Average endurance period = (210 + 270 + 300) / 3 = about 260 days This 260 days is the specific vehicle type specific part average endurance period of the specific vehicle type (vehicle model code: 100) specific part (part code: 1).

  Here, the calculation order of the average endurance period of all the vehicle type specific parts and the average endurance period of the specific car type specific parts is not limited to the above order, and either may be calculated first.

And when calculating the difference DT1 between the average endurance period of all vehicle type specific parts and the average endurance period of the specific car type specific part obtained above,
DT1 = specified vehicle type average durability period−all vehicle types average durability period = 213−260 = −47 days. This is applied to the preset “endurance period → rank” correspondence table shown in FIG. 7A to determine the rank for each part of the specific vehicle type. That is, the rank of “vehicle type code: 100, part code: 1” is “E rank”. Further, it is possible to calculate the vehicle type replacement time correction value by applying to the preset “rank → vehicle dependent variable” correspondence table shown in FIG. 7B (specific vehicle type correction value calculating step). In this case, it is -20 days.

  Here, the rank data and the correction value described above are calculated by the data mart server 14 described above, and then stored in a database (see FIG. 3) in the data center server 12. That is, by reflecting these results in the part-specific master, the customer vehicle master, and the customer rank master, for example, the part-specific rank of the specific vehicle type and the vehicle type replacement timing correction value based on the rank are “part-specific It is stored as the “part-time endurance period rank” of the “master”, and such data is updated. Then, the application server 11 extracts rank data, that is, a correction value that is actually used, and adds this correction value to the next replacement time replacement time that is normally calculated to calculate a more accurate replacement time. Then, the calculated replacement time information is transmitted from the application server 11 to the user terminal 1 via the network N, and the user can obtain such information (exchange time information providing step).

  The correspondence tables shown in FIGS. 7A and 7B are experimentally and empirically determined in advance by a supplier who provides the system. The illustrated values are examples and are not limited to these values. Further, the vehicle type replacement timing correction value is not limited to being calculated by the above-described method, and for example, the difference itself between the average durability period of all vehicle types and vehicle types may be calculated as the correction value. This is not limited to the data and method to be described similarly for the user-specific replacement time correction value to be described later.

  Next, a method for calculating the replacement timing for each user will be described with reference to the data shown in FIG. In this example, the correction value of the specific part (part code: 1) of the specific customer vehicle (vehicle code: 2100, that is, customer code: 50 user vehicle type code: 100) is calculated. The calculation procedure is shown in the flowchart of FIG.

First, as described above, the average endurance period of the specific vehicle type specific part is calculated (specific vehicle type average calculation step). Item numbers 1, 2, 3, 5, 6, 7, 14, 15, and 16 are selected, and the difference S (endurance period) is obtained. In this example, it is as follows.
S1 = item number 2−item number 1 = 210 days S2 = item number 3−item number 2 = 60 days S3 = item number 5−item number 3 = 270 days S4 = item number 7−item number 6 = 300 days S5 = Item number 15-Item number 14 = 210 days S6 = Item number 16-Item number 15 = 180 days

And since the value of S2 is largely different from others, it is excluded, and the average endurance period of the specific vehicle type specific part, which is the average of the remaining S1, S3, S4, S5, S6, is calculated.
Average durability period = (210 + 270 + 300 + 210 + 180) / 5 = 234 days. This 234 days is the specific vehicle type specific part average durability period of the specific vehicle type (vehicle type code: 100) specific part (part code: 1).

  Then, the average exchange period of a specific customer vehicle specific site | part is calculated (user average calculation process). The flow is substantially the same as the above-described procedure, and the processing target data is only the vehicle code: 2100.

First, item numbers 14, 15, and 16 are selected (step SC1). Then, a difference between these (endurance period) is obtained (step SC2). In this example, it is as follows.
S5 = No. 15-No. 14 = 210 days S6 = No. 16-No. 15 = 180 days

In this case, since there is nothing significantly different from other values, the process of step SC3 is not particularly performed. Then, the average endurance period of the specific vehicle type specific part, which is the average of the remaining S1, S3 and S4, is calculated (step SC4).
Average durability period = (210 + 180) / 2 = 195 days. This 195 day is the specific customer vehicle specific part average durability period of the specific customer vehicle (vehicle code: 2100) specific part (part code: 1).

  Here, the calculation order of the average endurance period of the specific vehicle type specific part and the average endurance period of the specific customer vehicle specific part is not limited to the above order, and either may be calculated first.

And when calculating the difference DT2 between the average endurance period of the specific vehicle type specific part obtained above and the average endurance period of the specific customer vehicle specific part,
DT2 = specific customer vehicle average endurance period−specific vehicle type average endurance period = 195−234 = −39 days This is applied to the preset “endurance period → rank” correspondence table shown in FIG. Determine the rank. That is, the endurance rank for each specific customer of “vehicle code: 2100, part code: 1” is “E rank”. Further, it is possible to calculate the vehicle type replacement time correction value by applying to the preset “rank → customer dependent variable” correspondence table shown in FIG. In this case, it is -20 days. Therefore, by adding this correction value to the normally calculated next replacement time replacement time, it is possible to calculate a more accurate replacement time reflecting the operation characteristics of the customer (specific user correction value calculation step). The ranks and correction values are stored as endurance period ranks by customer vehicle in the customer vehicle master of the data center server 12.

  Here, according to the data illustrated in FIG. 6, it can be seen that the user with the customer code: 50 previously held the vehicle with the vehicle code: 2000. Therefore, the user-specific replacement time correction value may be calculated in consideration of the driving characteristics of another vehicle by the same user. Thus, in order to calculate a correction value in consideration of past driving characteristics of the vehicle, the computer group 10 of the system, particularly the data mart server 14, further includes the following functions. That is, each of the functions described above processes the replacement time data of the past vehicle, calculates the replacement time correction value for each user caused by the user of the specific part in the past vehicle, and the specific user correction value calculation function is The calculated user has a function of calculating a new correction value based on each user-specific replacement time correction value in the vehicle currently and in the past.

  And the following processes are performed by the said function. The flow of this process is shown in FIG. First, the difference DT3 between the average endurance period of the specific vehicle type in the vehicle code 2000 and the average endurance period of the specific customer vehicle specific part is calculated by the above-described method (steps SD1 and SD2). Then, the difference DT3 of the average durability period is −30 days. Then, by taking an average of DT3 of the vehicle code 2000 and DT2 of the vehicle code 2100 calculated above, a rank that more reliably reflects the driving characteristics of the user (customer code 50) can be obtained ( Step SD3). In this case, (DT2 + DT3) / 2 = (− 39 days + (− 30 days)) / 2 = about 35 days, and using the “endurance period → rank” correspondence table of FIG. The customer rank for 50 parts is “E rank”. Further, when the user-specific replacement time correction value is calculated using the “rank → customer-dependent correction value” correspondence table of FIG. 7C, it is −20 days. The ranks and correction values are stored as site-specific customer ranks in the customer rank master of the data center server 12.

  In this way, by calculating the correction value in consideration of the replacement time data in the other vehicle of the user, it is possible to obtain a correction value that more appropriately reflects the user's driving characteristics, and more accurate replacement Time information can be provided.

  In the above description, the method of calculating the vehicle type replacement time correction value and the user-specific replacement time correction value using separate replacement time data (FIGS. 5 and 6) has been described, but the same replacement time data is used. When the two correction values are calculated, it is desirable to reflect both the correction values in the replacement time. That is, by adding both correction values to the next replacement time that is normally calculated, or the predetermined next replacement time, the user who drives the vehicle and the replacement time suitable for the vehicle type are calculated. Replacement time information can be provided to the user (exchange time information providing step).

Here, in the present embodiment, the user terminal 1 has been described with a system configuration example in which vehicle management information is obtained from a server at a remote location via a network. However, the present invention is not limited to such a system configuration. For example, the vehicle management information providing system configured by the application server 11, the data warehouse 13, and the data mart server 14 is configured by one server , and the user terminal 1 requests the server to provide information directly and it may be a system configuration called receiving provision information.

  Next, a second embodiment of the present invention will be described with reference to FIG. In the present embodiment, the system is such that the above-described specific part, which is the target for calculating the next replacement time, is a part used in the part, and the next replacement time is calculated for each part. Accordingly, there is no change in the basic system configuration, and the contents of the database stored in the data center server 12 are different as described below.

  A specific example of the data is shown in FIG. In the data table shown in this figure, the part-specific master in the table shown in FIG. 3 is changed to a vehicle-specific part configuration master / part master. The “car-specific parts configuration master” is a table for managing which parts are used in a specific vehicle type specific part. “Part code” and “car model code” are the main keys, and “part code” is the attribute. The “part rank master” holds “part code” as a main key and “part name”, “part-specific durability period rank”, and “part-specific endurance distance rank” as attributes. The operation method such as the calculation method of the vehicle type replacement time correction value, the user-specific replacement time correction value, and the like is the same as that of the above-described embodiment. That is, instead of the part-specific endurance period rank, the part-specific endurance period rank is set, and the endurance period rank of each part for each vehicle type and the vehicle type replacement time correction value are calculated and updated. Become.

  In this way, by correcting the replacement time in consideration of the vehicle type characteristics and user characteristics for each part, the replacement time can be calculated with higher accuracy in parts used in many vehicle types. .

  Next, a third embodiment of the present invention will be described. The system in the present embodiment provides the user with the next replacement travel distance information for a specific part or specific part of the vehicle.

In this embodiment, the basic system configuration is almost the same as that of the first embodiment described above, and only the data to be handled is different. Of course, according to this, the calculation processing by the vehicle management information providing system is slightly different.

  Therefore, the data center server 12 stores the travel distance data of the vehicle when the specific part and specific part of each vehicle are replaced. Then, by using the travel distance data, the average exchange travel distance in all the vehicles and the average exchange travel distance in the specific vehicle type are calculated by the above-described functions, and by comparing these, the exchange of the specific part in the specific vehicle type is performed. A correction value for calculating the next replacement travel distance is calculated based on the travel distance characteristics. Further, the average exchange mileage in the vehicle owned by the specific user is calculated, and this is compared with the average exchange mileage in the specific vehicle type described above, thereby calculating the exchange mileage based on the driving characteristics of the user. The correction value at the time is calculated.

  Note that the vehicle type and the rank and correction value for each user at this time are stored in each master shown in FIGS. 3 and 10 described above. For example, it is stored in a region-specific durable mileage rank, a customer vehicle-specific durable mileage rank, a region-specific customer rank, and a component-specific durable mileage rank.

  Usually, by adding the calculated correction value to the travel distance of the vehicle that needs to be replaced next time, the next replacement travel distance can be calculated with higher accuracy, and such information is provided to the user. The Therefore, replacement at an appropriate travel distance can be realized, and problems such as waste of replacement parts and the replacement can be effectively suppressed.

  As described above, the present invention calculates a correction value for calculating the next replacement period or replacement travel distance of the specific part based on the characteristics of the specific vehicle type or the driving characteristics of the user. Using this correction value, it is possible to calculate a more accurate replacement time and to provide the user with the information. As a result, a vehicle that can realize replacement at an appropriate time, and can effectively suppress problems such as waste of replacement parts and the like, and influence on the running state of the vehicle due to interruption of the replacement time, etc. A management information provision system can be realized.

FIG. 4 is a diagram schematically illustrating data used in the present invention, and is a diagram for explaining the characteristics of the present invention. It is a block diagram which shows the structure of this invention. It is a figure which shows the structure of the data memorize | stored in this system. It is a flowchart which shows the outline | summary of operation | movement of this system. It is a figure which shows an example of the exchange time data of the specific site | part memorize | stored in this system. It is a figure which shows an example of the exchange time data of the specific site | part memorize | stored in this system. FIGS. 7A, 7B, and 7C are diagrams showing data stored in the system. FIGS. 8A and 8B are flowcharts showing a part of the operation of this system. FIGS. 9A and 9B are flowcharts showing a part of the operation of this system. It is a figure which shows the structure of the data memorize | stored in this system in Example 2. FIG.

Explanation of symbols

1 User terminal 10 Computer group 11 Application server 12 Data center server 13 Data warehouse 14 Data mart server N Network

Claims (4)

An application server that captures customer vehicle check data including customer ID, vehicle code, vehicle type code, part code, and replacement time, which indicate the maintenance status of each part of the vehicle, for a plurality of vehicles including the user vehicle as needed;
A data center server for accumulating the customer vehicle check data for a plurality of vehicles and storing it as exchange period data;
A user average calculation function that calculates an average replacement period of the specific part in the user vehicle with reference to the replacement time data, and an average replacement period of the specific part in the same vehicle type that includes the user vehicle with reference to the replacement time data. A vehicle management information providing system including a data mart server having a specific vehicle type average calculation function to calculate,
The data mart server refers to the exchange time data from the data center server by a customer ID, has a customer ID of the same user as the user vehicle, has a vehicle code different from the user vehicle, and has the same part code as the specific part The first average replacement period is obtained from the exchange time of the exchange time data, and the second average exchange period is determined from the exchange time of the customer vehicle check data having the same part code as the specific part of the same vehicle type having the vehicle code of the exchange time data. The first correction value is calculated from the first and second average replacement periods, and based on the average replacement period calculated by the specific vehicle type average calculation function and the average replacement period calculated by the user average calculation function Te calculating a second correction value, a specific user correction value calculation for calculating an average of the first and second correction value as a user-specific replacement timing correction value It has the ability,
The application server creates and outputs next replacement time information indicating a next replacement time of the specific part of the user vehicle in consideration of the user-specific replacement time correction value in a predetermined endurance period of the specific part. A vehicle management information providing system characterized by that. About the vehicle management information providing system according to claim 1,
The data mart server refers to the replacement time data from the data center server by a part code of a specific part, calculates an average replacement period for the specific part from the replacement time data , A specific vehicle type correction value calculation function for calculating a vehicle type replacement time correction value based on the average replacement period calculated by the vehicle average calculation function and the average replacement period calculated by the specific vehicle type average calculation function;
The application server sets the next replacement time information indicating the next replacement time of the specific part of the user vehicle, the vehicle type replacement time correction value and the user-specific replacement time correction value during a predetermined endurance period of the specific part. A vehicle management information providing system characterized by having an exchange time information providing function that is created and output in consideration of the above. In a vehicle management information providing system comprising an application server that transmits and receives data, a data center server that accumulates data, and a data mart server that extracts and processes the accumulated data,
A data fetching step in which the application server fetches customer vehicle check data including customer IDs, vehicle codes, vehicle type codes, site codes, and replacement times indicating the maintenance status of each part of the vehicle for a plurality of vehicles including user vehicles as needed. A data accumulation step in which the data center server accumulates the customer vehicle check data relating to a plurality of vehicles and stores it as exchange period data, and the data mart server refers to the customer vehicle check data and next time a specific part of the user vehicle A correction value calculating step for calculating a correction value for adding to the next replacement time information indicating the replacement time; and a replacement time information providing step for the application server to calculate and output the next replacement time information according to the correction value. Provided,
The correction value calculating step includes: a user average calculating step in which the data mart server refers to the replacement time data from the data center server by a customer ID to calculate an average replacement period of the specific part in the user vehicle; and the data mart server A specific vehicle type average calculating step of calculating an average replacement period of the specific part in the same vehicle type including the user vehicle by referring to the replacement time data from the data center server by a customer ID, and the data mart server includes the data center The replacement time data is referred to by the customer ID from the server, and the first time from the replacement time of the replacement time data having the same user ID as the user vehicle, the vehicle code different from the user vehicle, and the same part code as the specific part. The same vehicle type with the vehicle code of the replacement time data Obtains a second mean exchange period from time to replace the customer vehicle check data with the same site code with said specific site, and calculates a first correction value from said first, second average exchange period, the specific vehicle type Mean The second correction value is calculated based on the average replacement period calculated in the calculation step and the average replacement period calculated in the user average calculation step, and the average of the first and second correction values is calculated as a user-specific replacement time correction value. A specific user correction value calculation step to calculate as
In the replacement time information providing step, the application server creates and outputs the next replacement time information in consideration of the user-specific replacement time correction value in a predetermined endurance period of the specific part. Vehicle management information provision method. In the vehicle management information provision method according to claim 3 ,
In the correction value calculating step, the data mart server refers to the replacement time data from the data center server with a part code of a specific part, and calculates an average replacement period for the specific part from the replacement time data. A specific vehicle type correction that calculates a vehicle type replacement timing correction value based on a calculation step, and an average replacement period calculated by the data mart server in the average average vehicle calculation step and an average replacement period calculated in the specific vehicle type average calculation step A value calculation step,
In the information providing step, the application server creates the next replacement time information by adding the vehicle type replacement time correction value and the user-specific replacement time correction value to a predetermined endurance period of the specific part. A vehicle management information providing method comprising: outputting the vehicle management information.

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