KR101966220B1 - System for managing vehicle - Google Patents

Abstract

The present invention provides a vehicle management system which can integratedly manage information on a maintenance history and provide the maintenance history to automobile related companies. According to an embodiment of the present invention, the vehicle management system comprises a main server which receives a consumable replacement time and a defect of vehicle components from a vehicle having a diagnosis device which diagnoses the consumable replacement time and the defect of the vehicle components, receives information on maintenance history in accordance with information on the consumable replacement time and information on the defect of the vehicle components, constructs vehicle information including the consumable replacement time, the defect of the vehicle components and the maintenance history as a database and transmits the database-based vehicle information to a portable terminal of a vehicle owner or a related company server.

Description

SYSTEM FOR MANAGING VEHICLE

The present invention relates to a car management system, and more particularly, to a car management system capable of providing information on a replacement time of consumables of a car and information on defective parts to a car owner or a related company.

Consumables mounted on a vehicle or a mechanical device, such as oil filters, spark plugs, various oils, etc., can be improved in an appropriate manner at an appropriate time to improve the durability, running stability, .

Generally, the vehicle manufacturer provides a manual when a consumable is replaced, and the user records and manages the replacement time of each consumable item by using memo means such as a charger.

Examples of items to be maintained include engine oil, oil filters, air cleaner filters, spark plugs, timing belts, brake discs and pads. The replacement period of the item to be maintained is determined according to two conditions (i.e., a harsh condition and a normal condition). For example, in the case of vehicle A, the engine oil and oil filter should be replaced every 15,000 km or once a year under normal conditions, while the engine oil and oil filter should be replaced every 7,500 km or every six months under harsh conditions. In the case of vehicle B, the air cleaner filter should be replaced every 40,000 km under normal conditions, while under severe conditions, it should be replaced when performance deteriorates during frequent inspection and inspection.

However, the timing of replacement of items subject to maintenance is very ambiguous in general vehicle manuals. That is, the manual does not give exact information on what the normal condition is or what the severe condition is. Accordingly, the consumer has periodically replaced the consumables of the vehicle according to the replacement timing under the condition of either the harsh condition or the normal condition. Or, whenever a maintenance company recommends replacing a consumable, it replaces the consumable.

Therefore, if a driver having a driving habit corresponding to a harsh condition changes the consumables of the vehicle according to the replacement period under normal conditions, the durability and running stability of the vehicle are deteriorated, and a driver having a driving habit corresponding to a normal condition is required to operate under severe conditions When replacing the consumables of the vehicle according to the replacement period, unnecessary frequent replacement of the consumables is unnecessary. In case of replacing the consumable item every time the maintenance company recommends the replacement of the consumable item, There is no way to verify if the answer is correct, so there is a possibility to pay unnecessary costs

Thus, due to the ambiguity of the replacement timing in the manual, the consumer can not accurately know the replacement time of the consumables, and therefore the durability, the driving stability, or the satisfaction of the consumer are inevitably lowered.

The vehicle is equipped with various types of safety devices such as anti-skid braking system (ABS), traction control system (TCS) and attitude control system. In the case of exhaust gas, related regulations are very strict. Therefore, it is necessary to carry out a self-diagnosis of sensor and exhaust gas measuring instrument for satisfying exhaust gas regulation in the control system of engine system, .

However, many of the safety components in automobiles are rarely monitored or diagnosed in spite of the fact that many defective parts are likely to lead to fatal accidents.

In recent years, it has been found that the possibility of rollover accidents increases when the tire pressure drops, and regulations and regulations are applied to monitor tire pressure worldwide.

In addition, there is a need for a technique that can more effectively monitor and diagnose vehicle faults in a wide range in situations where a vehicle suddenly occurs or an accident occurs due to a vehicle defect.

In this way, information on the replacement time of the consumables mounted on the vehicle and defect information on the parts are provided to the owner of the vehicle in an appropriate manner so that the owner of the vehicle can replace the consumable according to the replacement time of the consumable, Replacing the parts can increase the life span of the vehicle and prevent accidents that may occur during driving of the vehicle.

In addition, information on maintenance history of consumables according to the replacement time of the consumables and information on maintenance history of defective parts are important information for determining the driver's driving ability and the value of the automobile.

Accordingly, it is required to provide a vehicle-related company with various business models by providing information on replacement timing of consumables of automobiles, defect information on parts, and maintenance history.

The matters described in the background section are intended to enhance the understanding of the background of the invention and may include matters not previously known to those skilled in the art.

SUMMARY OF THE INVENTION The present invention has been made to solve the above-mentioned problems, and it is an object of the present invention to provide a vehicle management system capable of integrally managing information on replacement timing of consumables mounted on a vehicle, defect information on parts, And to provide a car management system.

According to another aspect of the present invention, there is provided a vehicle management system for receiving a replacement time of a consumable part and a defect of an automobile part from a vehicle equipped with a diagnostic device for diagnosing a replacement time of a consumable part and a defective part, Wherein the control unit is configured to receive the maintenance history information corresponding to the consumable replacement time information and the defect information of the parts and to construct vehicle information including the replacement time of the consumables, the defects of the parts, and the maintenance history, And a main server for transmitting the vehicle information to a car owner's portable terminal or an associated company server.

The related company server may include an insurance company server, a maintenance company server, a rental car company server, a transportation company server, a portal server, and a used car server.

The main server may receive insurance discount information from the insurance company server and transmit the insurance discount information to the mobile terminal.

The main server receives the supply information and the replacement information for the defective part from the maintenance company server and transmits the replacement information to the plurality of parts supplier servers having the consumables and parts, The bidder can perform the bid.

The main server may receive the customer grade according to the maintenance history from the car rental company server and transmit the customer grade to the mobile terminal.

The main server may receive the driving class corresponding to the maintenance history from the transportation company server and transmit the driving class to the portable terminal.

The portal server may provide information on maintenance history of each vehicle type, maintenance history by model type, and maintenance cost from the vehicle information received from the main server.

The main server may receive the vehicle grade corresponding to the maintenance history from the used car dealer server and transmit the received vehicle grade to the mobile terminal.

A car management system according to another embodiment of the present invention receives data from an automobile, calculates a replacement time of consumables based on the data, transmits the calculated replacement time to a portable terminal of an automobile owner, And receives repair history information corresponding to a replacement timing of the consumable item and a defect of the component from the automobile or the owner terminal, and includes the replacement time of the consumable part, the defect of the component, and the maintenance history And a main server for constructing the car information as a database and transmitting the database-based car information to a portable terminal or a related company server.

The main server determines whether or not at least one harsh situation occurs, calculates the contribution of the harsh situation, computes severity using the contribution of the harsh situation, the mileage or traveling time under the harsh situation, The replacement time or the replacement distance may be determined according to the severity, and the replacement time of the consumable may be transmitted to the portable terminal by comparing the replacement time or the replacement distance with the running time or the driving distance after the replacement of the consumables.

The main server may calculate the degree of severity according to the individual degree of severity of each of the severe situations occurring up to now after the replacement of the consumables.

The main server calculates the degree of severity according to the severity of each of the severe situations occurring up to now after the replacement of the consumables and the proportion of the severity to the severity, Is defined as the effect on severity and can be set in advance.

Wherein the main server determines the replacement time or the replacement distance under the severe condition as the replacement time or the replacement distance if the severity is greater than the first severity of the predetermined severity condition and if the severity is less than the second severity When the degree of severity is equal to or greater than the second degree of severity and equal to or less than the first degree of severity, the replacement time or the replacement distance under the normal condition is determined as the replacement time or the replacement distance, The replacement time or the replacement distance can be determined by interpolating the replacement time or the replacement distance under the severity.

The main server can calculate the replacement remaining time or the replacement remaining distance by subtracting the traveling time or the traveling distance after the previous replacement of the consumable article at the replacement time or the replacement distance.

The defect of each automobile part is defined as a defect of the diagnostic item for the corresponding automobile part, the kind of state variable and the kind of state value for each diagnostic item are defined, and a set of state variables for each diagnosis item is defined as a state vector Wherein the plurality of diagnostic items are classified into a first diagnostic item and a second diagnostic item, the main server receives the data including the state variables and the state values every measurement period, And stores the state value for each diagnostic item in each state vector based on the state value and processes the stored state value every set period to calculate an index value for the corresponding diagnostic item in each state vector, The index value for the corresponding diagnostic item in the corresponding state vector, and the index value for the corresponding diagnostic item, The exponent value for the diagnostic item is compared with a reference exponent value for the diagnostic item in an arbitrary state vector, and when the arbitrary diagnostic item is the first diagnostic item, the set period is measured Wherein the predetermined period includes a first period and a second period longer than the first period when the diagnostic item is a second diagnostic item, A first index value and a first reference index value to be processed, and a second index value and a second reference index value to be processed for each second period, wherein the index value and the reference index value for the first diagnostic item, The first index value and the first reference index value for the diagnostic item are values in the time domain, and the second index value and the second reference index value for the second diagnostic item may be values in the frequency domain.

The first sampling period of the state values for processing the first exponent value and the first reference exponent value may be longer than the second sampling period of the state value for processing the second exponent value and the second reference exponent value.

The main server may process the sampled state values of the second exponent value and the second reference exponent value according to one of the second diagnostic items during the envelope analysis and the Fast Fourier Transform.

If the arbitrary diagnostic item is the first diagnostic item, the main server determines that the index value for the diagnostic item in the arbitrary state vector at the currently set period is equal to or greater than the reference index value for the diagnostic item at the currently set period, It is possible to diagnose the defect by the defect of the diagnosis item.

If an arbitrary diagnostic item is a second diagnostic item, if a state in which a first index value for a corresponding diagnostic item in an arbitrary state vector is equal to or greater than a first reference index value for the diagnostic item in the currently set period is repeated more than the preset number, The main server further calculates a second index value for the item and a second reference index value for the item regardless of the second period, and the main server calculates a second index value for the item in an arbitrary state vector, Value is equal to or higher than the second reference exponent value for the item is repeated more than the set number of times, diagnosis of the diagnostic item can be made.

If it is diagnosed that there is a defect of the diagnostic item, the main server calculates the index value, the reference index value, the first index value and the first reference index value, or the second index value and the second reference index value, The first exponent value and the first exponent value, or the second exponent value and the second reference exponent value, which are calculated in the currently set period.

The related company server may include an insurance company server, a maintenance company server, a rental car company server, a transportation company server, a portal server, and a used car server.

The main server may receive insurance discount information from the insurance company server and transmit the insurance discount information to the mobile terminal.

The main server receives the supply information and the replacement information for the defective part from the maintenance company server and transmits the replacement information to the plurality of parts supplier servers having the consumables and parts, The bidder can perform the bid.

The main server may receive the customer grade according to the maintenance history from the car rental company server and transmit the customer grade to the mobile terminal.

The main server may receive the driving class corresponding to the maintenance history from the transportation company server and transmit the driving class to the portable terminal.

The portal server may provide information on maintenance history of each vehicle type, maintenance history by model type, and maintenance cost from the vehicle information received from the main server.

The main server may receive the vehicle grade corresponding to the maintenance history from the used car dealer server and transmit the received vehicle grade to the mobile terminal.

The automobile management system according to the embodiment of the present invention as described above provides the owner of the vehicle with information about the replacement time of the consumables and the defective parts so that the consumable parts of the automobile and the parts where the defects occur By inducing them to change at an appropriate time, the life span of the vehicle can be extended and the state of the vehicle can be managed in a comprehensive manner.

In addition, various business models can be implemented through related companies by providing automobile related information including automobile consumable replacement time, parts defect, and maintenance history.

These drawings are for the purpose of describing an exemplary embodiment of the present invention, and therefore the technical idea of the present invention should not be construed as being limited to the accompanying drawings.
1 is a conceptual diagram showing a configuration of a car management system according to an embodiment of the present invention.
2 is a block diagram showing the configuration of a main server and a diagnostic apparatus of a car management system according to an embodiment of the present invention.
3 is a configuration diagram of a sensor unit according to an embodiment of the present invention.
4 is a flowchart illustrating an operation of a car management system according to an embodiment of the present invention.
5 is a flow chart of a method for indicating a replacement timing of a consumable according to an embodiment of the present invention.
FIG. 6 is a view showing an example of severe situations occurring during vehicle operation, a proportion of the severe situations, mileage, running time, contribution and severity.
7 is a diagram showing an example of a predetermined contribution to harsh situations occurring when a vehicle is traveling.
8 is a diagram showing an example of items to be maintained and their modified replacement periods.
Fig. 9 is a diagram showing an example of an item to be maintained on a manual basis of the vehicle and an example of replacement timing of the item. Fig.
10 is a flowchart of a method for diagnosing faults in auto parts according to an embodiment of the present invention.
FIG. 11 is a flowchart showing details of steps S600 and S700 in FIG. 3 when any diagnostic item is the first diagnostic item.
Fig. 12 is a flowchart showing details of steps S600 and S700 in Fig. 3 when any diagnostic item is the second diagnostic item.

BRIEF DESCRIPTION OF THE DRAWINGS The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings in which: FIG. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein.

In order to clearly illustrate the present invention, parts not related to the description are omitted, and the same or similar components are denoted by the same reference numerals throughout the specification.

It is to be understood that both the foregoing general description and the following detailed description of the present invention are exemplary and explanatory and are intended to provide further explanation of the invention as claimed. .

In the following description, the names of the components are denoted by the first, second, etc. in order to distinguish them from each other because the names of the components are the same and are not necessarily limited to the order.

The terminology used herein is for the purpose of describing only particular embodiments and is not intended to be limiting of the invention. As used herein, singular forms are intended to include the plural forms, unless the context clearly dictates otherwise. As used herein, terms such as "comprises" and / or "including" specify the presence of stated features, integers, steps, acts, components, and / or components, But not the exclusion of any other features, integers, steps, operations, components, components, and / or groups thereof. As used herein, the term "and / or" includes any and all combinations of one or more associated listed items. The term "coupled " denotes a physical relationship between two components, wherein the components are directly connected to each other or indirectly via one or more intermediate components.

As used herein, "vehicle", "vehicular", or other similar terminology refers to automobiles, passenger automobiles generally including sport utility vehicles (SUVs), buses Including ships, airplanes, and the like, including trucks, various commercial vehicles, various boats and ships, and other hybrid vehicles including electric vehicles, hybrid electric vehicles, hydrogen powered vehicles and other alternative fuels Fuels derived from non-resources) vehicles. As referred to herein, an electric vehicle (EV) may include a rechargeable energy storage device (e.g., one or more rechargeable electrochemical cells or other types of batteries) as part of its locomotion capabilities, And the like. EVs are not limited to automobiles, but may include motorcycles, carts, scooters, and the like. A hybrid vehicle is also a vehicle having two or more power sources, such as gasoline-based power and electricity-based power (e.g., a hybrid electric vehicle (HEV)).

Additionally, one or more of the following methods, or aspects thereof, may be performed by at least one controller, a controller area network (CAN) bus, or a vehicle network. The controller, controller area network (CAN) bus, or vehicle network may be implemented in a vehicle as described herein. The term "controller" may refer to a hardware device including a memory and a processor. The memory is configured to store program instructions, and the processor is specifically programmed to execute program instructions to perform one or more processes to be described further below. Moreover, the following methods may be executed by a system including the controller in conjunction with one or more additional components, as described in detail below.

Furthermore, the methods herein may be implemented as non-transitory computer readable storage media on computer readable storage media including executable program instructions that are executed by a processor, controller, and the like. Examples of such computer-readable storage media include, but are not limited to, ROM, RAM, compact disk (CD) -ROMs, magnetic tapes, floppy disks, flash drivers, smart cards and optical data storage devices no. The computer-readable storage mediums may also be distributed, for example, to a network coupled to computer systems to be stored and executed in a distributed fashion by a telematics server or a controller area network (CAN).

Hereinafter, a car management system according to an embodiment of the present invention will be described in detail with reference to the accompanying drawings.

1 is a conceptual diagram showing a configuration of a car management system according to an embodiment of the present invention. 2 is a block diagram showing the configuration of a main server and a diagnostic apparatus of a car management system according to an embodiment of the present invention. 3 is a configuration diagram of a sensor unit according to an embodiment of the present invention.

1 to 3, a car management system according to an embodiment of the present invention may include a car, a car owner's mobile terminal 300, a main server 200, have. A car, a car owner's portable terminal 300, a main server, and a car-related company server can transmit and receive various data through a wired and / or wireless network.

The replacement timing of the consumables and the defects of the parts according to the embodiment of the present invention can be performed through the diagnostic apparatus 100 provided in the vehicle. Alternatively, a diagnosis of the replacement timing of the consumables and the defects of the parts may be performed through the main server that receives various data from the vehicle.

The automobile is provided with a diagnostic device for calculating replacement cycles for consumables of the automobile and diagnosing defects of the parts.

The diagnostic apparatus 100 includes a sensor unit 110, a vehicle diagnostic module 130, a vehicle network 140, a first communication unit 150, a first controller 160, a first memory 170, (180).

The main server 200 may include a second diagnostic module 230, a second communication unit 250, a second controller 260, and a second memory 270.

The diagnostic apparatus 100 and the main server 200 of the vehicle are connected to each other through a wired or wireless network through the first communication unit 150 and the second communication unit 250, Data can be transmitted and received.

The sensor unit 110 detects data for performing the method according to an embodiment of the present invention and is connected to the first controller 160 and / or the vehicle diagnostic module 130 via the vehicle network 140. 3, the sensor unit 110 includes an acceleration pedal sensor 111, a brake pedal sensor 112, a timing belt vibration sensor 113, a wheel acceleration sensor 114, a vehicle acceleration sensor 115, A vehicle body inclination sensor 116, a GPS sensor 117, a flow meter 118, an engine speed sensor 119, a vehicle speed sensor 120, a knuckle vibration sensor 121, a vehicle body vibration sensor 122, ).

The data measured by the sensor unit 110 includes state variables and state values. A defect of each automobile part is defined as a defect of a diagnostic item for the corresponding automobile part and a defect of the diagnostic item is determined by measuring a state value under a set of state variables for the diagnostic item. The set of state variables for that diagnostic item is defined as a state vector.

For example, if the diagnostic item is the engine overheating, the engine overheating can be diagnosed by measuring the temperature of the engine. In this case, the state value becomes the engine temperature. In addition, the engine temperature changes in accordance with the engine speed, the vehicle speed, and the degree of depressing of the accelerator pedal (hereinafter referred to as "accelerator pedal angle"). Therefore, the state variables for the engine overheat are the engine speed, the vehicle speed, and the degree of depression of the accelerator pedal, and the engine speed, the vehicle speed, and the degree of depression of the accelerator pedal are defined as state vectors for overheating the engine.

The accelerator pedal sensor 111 measures the angle of the accelerator pedal and transmits a signal to the first controller 160. The accelerator pedal sensor 111 may be a pressure sensor for measuring the angle of the accelerator pedal as a pressure value and may be a separate sensor other than the accelerator pedal sensor built in the vehicle 100 for the running control of the vehicle 100 .

The brake pedal sensor 112 measures the degree of depression of the brake pedal (hereinafter referred to as 'brake pedal angle') and transmits a signal to the first controller 160. The brake pedal sensor 112 may be a pressure sensor that measures the angle of the brake pedal as a pressure value and may be a separate sensor other than the brake pedal sensor that is installed in the vehicle 100 for the running control of the vehicle 100 .

The acceleration pedal sensor 111 and the brake pedal sensor 112 are mounted separately from the accelerator pedal sensor and the brake pedal sensor that are installed in the vehicle 100 for controlling the travel of the vehicle 100, The signal value of the accelerator pedal sensor and the brake pedal sensor may not be received from the vehicle diagnostic module 130 in some cases.

The timing belt vibration sensor 113 measures the vibration generated in the timing belt and transmits a signal to the first controller 160.

The wheel acceleration sensor 114 is mounted on a wheel of the vehicle and measures the wheel acceleration and transmits a signal to the first controller 160. The wheel acceleration sensor 114 may be a three-axis wheel acceleration sensor capable of measuring all three wheel accelerations.

The vehicle body acceleration sensor 115 measures the acceleration of the vehicle and the rotation angle of the vehicle and transmits a signal to the first controller 160. The vehicle acceleration sensor 115 may be a six-axis vehicle acceleration sensor capable of measuring both the vehicle acceleration in three directions and the rotational angle of the vehicle.

The body tilt angle sensor 116 measures the tilt angle of the vehicle with respect to the horizontal plane and transmits a signal to the first controller 160. The body tilt sensor 116 may be a biaxial tilt sensor.

The GPS sensor 117 measures GPS coordinates of the vehicle and transmits a signal to the first controller 160.

The flow meter 118 is mounted in the fuel tank of the vehicle 100 and measures the amount of fuel stored in the fuel tank and transmits a signal to the first controller 160.

The engine speed sensor 119 measures the number of revolutions of the engine and transmits a signal to the first controller 160.

The vehicle speed sensor 120 measures the speed of the vehicle and transmits a signal to the first controller 160. The vehicle speed may be calculated using the GPS coordinate change measured by the GPS sensor 117 instead of using the vehicle speed sensor 120. [

The knuckle vibration sensor 121 measures the vibration of the knuckle connecting the wheel bearing to the vehicle body and transmits a signal to the first controller 160. Instead of using the knuckle vibration sensor 121, the vibration of the knuckle can be calculated using the measured values of the vehicle acceleration sensor 115 and the wheel acceleration sensor 114.

The body vibration sensor 122 measures the vibration of the vehicle body and transmits a signal to the first controller 160. The vibration of the vehicle body can be calculated using the measured value of the vehicle body acceleration sensor 115 instead of using the body vibration sensor 122. [

The steering angle sensor 123 detects the rotation angle of the steering wheel operated by the user and transmits a signal to the first controller 160.

The diagnostic device 100 may further include various sensors in addition to the sensors shown in FIG. 3 and these measurements may be provided to the first controller 160 and / or the vehicle diagnostic module 130 via the vehicle network 140. [ . Alternatively, the measured values measured at the sensors shown in Fig. 3 may be transmitted to the second controller of the main server or to the second diagnostic module.

The vehicle diagnostic module 130 is connected to the sensor unit 110, the first communication unit 150, the first controller 160, the first memory 170, and / or the first display 180 through the vehicle network 140. [ Lt; / RTI > The vehicle diagnostic module 130 may collect data for diagnosis of the vehicle 100 from the sensor unit 110 and / or the first controller 160. [ The data collected by the vehicle diagnostic module 130 includes the engine state, fuel state, cooling water state, engine oil state, current speed, remaining fuel amount, battery voltage, engine torque, fuel consumption, mileage, Can be.

The first communication unit 150 enables communication with devices outside the vehicle 100. The first communication unit 150 can communicate with parts inside the vehicle 100 via the vehicle network 140 and wireless or wired communication with devices outside the vehicle 100. [ For example, the first communication unit 150 may perform wireless communication with the second communication unit 250 of the main server 200 through the wireless communication protocol.

The first controller 160 is connected to the sensor unit 110, the vehicle diagnostic module 130, the first communication unit 150, the first memory 170, and / or the first display 180 through the vehicle network 140. [ Lt; / RTI > The first controller 160 receives the data for controlling the vehicle 100 from the sensor unit 110 and calculating the replacement timing of consumables. The first controller 160 transmits a control signal to the components in the vehicle 100 based on the data.

The first memory 170 is connected to the components in the vehicle 100 via the vehicle network 140 and includes data detected by the sensor unit 110, data processed by the first controller 160, The data processed in the server 130 and / 6, the first memory 170 stores information on severity of the vehicle operation, the weight of the severe situations, mileage, driving time, contribution and severity, driving distance after replacement of the consumables, The driving time may be stored.

The first memory 170 may store state values for each diagnostic item in each state vector. As described above, when the diagnostic item is the engine overheat, the engine temperature is stored according to the engine temperature, the vehicle speed, and the angle of the accelerator pedal. In order to reduce the amount of data stored in the first memory 170, the state variables included in the state vector may be divided into n ranges (for example, in the case of the vehicle speed, , The second vehicle speed and the third vehicle speed, ..., the (n-1) th vehicle speed and the nth vehicle speed). Here, n can be defined differently for each state variable. In summary, if the diagnostic item is engine overheating, the state value at each state vector can be stored in the same format as the engine temperature (i-th engine speed, j-th vehicle speed, k-th accelerator pedal angle). Here, the angles of the i-th engine rotation speed, the j-th vehicle speed, and the k-th acceleration pedal may be representative values of a range including a measured engine speed, a vehicle speed, and an angle of an accelerator pedal.

In addition, the first memory 170 may store an exponent value for each diagnostic item in each state vector and a reference exponent value for each diagnostic item.

The first display 180 is installed in the vehicle 100 at a position in which the driver's field of view can reach and can display various kinds of information provided to the driver (information related to the replacement time of the consumables and / or the defects of the parts). The first display 180 may be a cluster of the vehicle 100, a head-up display, or the like.

The portable terminal 300 is a device that can be portable by a user and is capable of wireless and wired communication with the diagnostic device 100 and / or the main server 200 and an affiliated company server. The portable terminal 300 includes smart devices, smart phones, , PDAs, laptops, and the like. The portable terminal 300 may be registered in the diagnostic apparatus 100 and / or the main server 200 in advance.

The related company server may include an insurance company server 410, a maintenance company server 420, a rental car company server 430, a transportation company server 440, a portal server 450, and a used car server 460. The main server and the related company server are connected to each other through a wired and / or wired network so that they can exchange data with each other.

The insurance company server 410 refers to a server of a company by operating an insurance business. The insurance company server 410 receives automobile information including a replacement time of consumables, defective parts, and maintenance history received from the main server, The insurance discount information including the rate is generated and transmitted to the main server. That is, the insurance company server 410 can discount the insurance premium by applying a high discount rate to the driver of the vehicle in which the consumable is replaced at the appropriate time by utilizing the information on the maintenance history or the replacement of the defective part, Such information may be transmitted to the car owner's portable terminal 300 through the main server or directly to the car owner's portable terminal 300.

The maintenance company server 420 refers to a server of a company that maintains consumables and defective parts that have come to replace the automobile, and receives the defective parts information of the parts received from the main server and the defective parts, And / or information on the defective part to the parts supplier server.

The car rental company server 430 is a server of a company that operates a car rental business. The car rental company server 430 receives automobile information including a replacement time of consumables, defective parts, and maintenance history received from the main server, Can be set. That is, the car rental company server 430 allocates a high grade to a driver of a car whose replacement has been performed for a defective part by using consumables at an appropriate time by utilizing information on a maintenance history, and the driver rents the car A high discount rate may be applied and the information may be transmitted to the car owner's portable terminal 300 through the main server or directly to the car owner's portable terminal 300.

The transport company server 440 means a server of a company that owns a car and operates a transportation business. The transportation company server 440 receives automobile information including a replacement time of consumables, defective parts, and maintenance history received from the main server, The driver's rating can be set. That is, the transportation company server 440 allocates a high grade to the driver of the vehicle in which the replacement of the consumable part is performed at the appropriate time by using the information on the maintenance history, or the replacement of the defective part, When you do, you can reflect this. The transportation company server 440 may transmit this information to the vehicle owner's portable terminal 300 through the main server or directly to the vehicle owner's portable terminal 300.

The portal server 450 is a server of a company that operates a portal site used to access the Internet. The portal server 450 receives automobile information including a replacement time of consumables, defective parts, and maintenance history received from the main server, The maintenance history for each type of vehicle, the maintenance history for each model, and the maintenance cost can be posted on the portal site, thereby providing information necessary for purchasing the vehicle to the consumer or providing information on the maintenance or tuning of the vehicle. Alternatively, such information may be transmitted to the vehicle owner's portable terminal 300 through the main server, or directly to the vehicle owner's portable terminal 300.

The used car supplier server 460 is a server of a company that operates a used car trading business. The used car supplier server 460 receives automobile information including a supply replacement time, a defective part, and a maintenance history received from the main server, You can set the rating. That is, the used car supplier server 460 allocates a high grade to a car which has been replaced with a defective part in a timely manner by utilizing the information on the maintenance history or reflects the used car price on the car . In addition, the used car supplier server 460 may transmit this information to the car owner's portable terminal 300 through the main server or directly to the car owner's car terminal 300.

Hereinafter, the operation of a car management system according to an embodiment of the present invention will be described in detail with reference to the accompanying drawings.

4 is a flowchart illustrating an operation of a car management system according to an embodiment of the present invention.

Referring to FIG. 4, the controller calculates a replacing time for consumables of the automobile (S110). The replacement time for consumables may be calculated by the diagnostic apparatus 100 installed in the vehicle or may be calculated by the second controller of the main server 200. [ That is, the main server 200 can receive the measurement values measured by the sensor unit 110 installed in the vehicle through the wired / wireless network in real time, and calculate the replacement time of consumables.

Hereinafter, a method of informing the replacement time of the consumable according to the embodiment of the present invention will be described in detail with reference to FIG. 5 to FIG.

FIG. 5 is a flowchart of a method of informing a replacement time of a consumable according to an embodiment of the present invention. FIG. 6 is a flowchart of a method of informing a replacement time of consumables according to an embodiment of the present invention. FIG. 7 is a view showing an example of a predetermined contribution to harsh situations occurring when a vehicle is traveling, FIG. 8 is an example of items to be maintained and their modified replacement periods, and FIG. Fig.

As shown in FIG. 5, the method of notifying the replacing time of consumables according to the embodiment of the present invention starts when the sensor unit 110 detects data (S200).

When the sensor unit 110 detects data, the data is transmitted to the controller (hereinafter, at least one of the first controller 160 and the second controller 260, or a combination thereof). The controller analyzes the data to determine whether a predefined severe situation has occurred (S210). FIG. 6 shows an example of sensors for detecting predefined severity, predefined weight of the severity, and data for determining whether the severity has occurred. For example, whether or not the occurrence of a severe situation such as "repeatedly running a short distance" is determined based on data detected from a vehicle speed sensor, a vehicle body acceleration sensor, a wheel speed sensor, a wheel acceleration sensor, a GPS sensor, and / or an ignition switch . Although FIG. 6 shows ten harsh situations, the number and types of harsh situations are not limited thereto. Also, the types of sensors for detecting data for determining whether the severe situation occurs are not limited to the sensors shown in FIG.

If no harsh conditions have occurred in step S210, the method returns to step S200 and continues to detect data. Otherwise, if it is determined in step S210 that a severe situation has occurred, the method proceeds to step S220.

In step S220, the controller calculates the contribution of the harsh situation. Here, the contribution of the harsh situation means how well the detected data meets the harsh conditions. FIG. 7 shows an example of the contribution condition for calculating the contribution of the harsh situation. Quot; 1-DP "described in the contribution condition means that the contribution corresponds to the one-dimensional parameter, and" 2-DP "means that the contribution corresponds to the two-dimensional parameter. The process of calculating the contribution of the harsh situation will be described in detail as follows.

If a harsh situation occurs, the controller operates a timer or similar device to detect the duration of the severity of the situation or the distance the vehicle traveled during the duration of the severe situation. Herein, the duration of the severe condition is defined as the driving time Ti under the severe condition, and the distance traveled by the vehicle during the severe condition is defined as the driving distance Mi under the severe condition. Also, the running time or the running distance under such a harsh situation means the time or distance in which the data related to the contribution of the harsh situation traveled in the same state. For example, when the vehicle travels at the first travel distance M1 or the first travel time T1 at a speed of 170 km / h, the speed is increased and the second travel distance M2 or the second travel distance If the vehicle has traveled at the time T2, the controller determines that a severe situation such as "a case where the frequency of high-speed travel is high" At this time, the controller determines that two harsh situations (first harsh situation and second harsh situation) have occurred, detects the running time or the running distance under the first harsh situation as M1 or T1, Or the travel distance is detected as M2 or T2.

The controller then determines how well the harsh situation matches the contribution condition. For example, a severe situation such as "when the frequency of high-speed travel is high" corresponds to a one-dimensional parameter (i.e., vehicle speed). In addition, if the vehicle speed is 200 km / h or more, the contribution is 100%, and if the vehicle speed is less than 80 km / h, the contribution condition is predefined as 0%. If the vehicle traveled at a speed of 220 km / h, the contribution would be 100%, and if the vehicle traveled at a speed of 50 km / h, the contribution would be 0%. On the other hand, if the vehicle has traveled at a speed of 170 km / h, the contribution can be calculated by the interpolation method. The interpolation method for calculating the contribution may use at least one of various interpolation methods known in the art. Various interpolation methods such as linear interpolation, curve interpolation, interpolation using a polynomial function, interpolation using a trigonometric function, interpolation using a logarithmic function, and interpolation using an exponential function are well known and will not be described in detail here.

For another example, a severe situation such as "when the running frequency on a rough road is high" corresponds to a two-dimensional parameter (body vibration and slip rate). In addition, the contribution condition of the harsh situation is defined as 100% when the root mean square (rms) is larger than 0.5G and 0% when the body vibration rms is less than 0.2G. Also, the condition of contribution of the severe situation is defined as 100% when the slip ratio is greater than 0.2, and 0% when the slip ratio is less than 0.05. In this case, the contribution of the severe situation of "high running frequency on the rough road" can be calculated as the average of the contribution according to the body vibration rms and the contribution according to the slip rate. On the other hand, the proportion of the contribution according to the body vibration rms and the contribution according to the slip ratio are defined in advance, and the proportion of the contribution according to the body vibration rms and the proportion of the contribution according to the slip ratio are considered, Is high "can be calculated. If the body vibration rms is 0.2 G or more and 0.5 G or less, or the slip ratio is 0.05 or more and 0.2 or less, the contribution can be calculated by an interpolation method.

Referring back to FIG. 5, if the contribution of the harsh situation is calculated in step S220, the controller calculates the degree of severity using the contribution of the harsh situation and the travel distance or travel time under the harsh situation (S230). Here, the degree of severity is an index for indicating how harsh conditions the current running is. Hereinafter, the process of computing severity is described in detail.

The controller calculates the individual severity Sj for each of the severe situations that have occurred up to now after the previous replacement of the consumable and calculates the severity ST according to the individual severity and the weight Wj for the severity situations . The proportion of severity here indicates the degree to which the severity affects severity. For example, referring to FIG. 7, the severity condition of "repetition of short distance" is defined as 1, while the severity condition of " have. This means that the severe situation of "when idling is overdone" is three times more severe than the "short distance repeatedly running" situation. Also, the weight can be used not only when each severe situation occurs, but also when the occurrence periods of each severe situations overlap. The weight can be defined in advance through big data analysis. The specific gravity shown in Fig. 7 is only one example, and it is also possible to determine the specific gravity.

J harsh situations in which the distance traveled to the present after the replacement of the consumables is now M, and the occurrence time of the consumables does not overlap with each other since the previous replacement (the first harsh situation, the second harsh situation, ..., Mj can be calculated by the following equation, if Mj is divided into I sections, and Mj can be calculated by the following equation.

Here, Mji is the traveling distance of the i-th section.

If the occurrence times of each severity do not overlap, the individual severity (Sj) due to the jth severity can be calculated by the following equation.

이다. 도 6 및 도 7에 도시된 가혹 상황에 대한 비중은 해당 가혹 상황이 각각의 부품에 미치는 영향이 다른 경우가 있으므로, 각각의 부품에 대하여 각각 다른 비중을 채택할 수 있다. 또한, 중복된 가혹 상황에 대한 개별 가혹도의 비중을 전부 인정하는 경우 Nd=1로 설정할 수 있다.Where Wji is the weight of the i-th section, Cji is the contribution of the i-th section, Nd is the

to be. 6 and 7 may have a different impact on each component, so that a different weight can be adopted for each component. In addition, Nd = 1 can be set if all the severity of the individual severity of the overlapping severity is all recognized.

In this case, the degree of severity (S _T ) can be calculated by the following equation.

However, some of the harsh situations may overlap in time. That is, the jth severity situation may be caused by overlapping two or more sub severity situations. The individual severity (Sj) due to the jth severe situation can be calculated by the following equation.

However, some of the harsh situations may overlap in time. That is, the jth severity situation may be caused by overlapping two or more sub severity situations. The individual severity (Sj) due to the jth severe situation can be calculated by the following equation.

이다. 앞에서 언급한 바와 같이, 중복된 가혹 상황에 대한 개별 가혹도의 비중을 전부 인정하는 경우 Nd=1로 설정할 수 있다. 다른 방법으로, 기여도와 비중을 고려한 것 중에 최대값만을 취하여 중복된 가혹 상황을 대표하는 방법도 있다. 이 경우, 개별 가혹도(Sj)는 Sj=Mj * Max(WjiCji)/M으로 표현된다.Where Wji is the weight of the i-th sub-severe situation, Mji is the driving distance under the i-th sub-severe situation, Cji is the contribution of the i-th sub-

to be. As mentioned above, Nd = 1 can be set if all of the severity of the individual severity of the redundant harsh situations is all recognized. Alternatively, there is a method to represent the overlapping harsh situations by taking only the maximum value of the contribution and weight. In this case, the individual severity Sj is expressed as Sj = Mj * Max (WjiCji) / M.

On the other hand, if we do not take the weight into consideration when computing severity, the above equations will change as follows.

If the occurrence times of each severity do not overlap, the individual severity (Sj) due to the jth severity can be calculated by the following equation.

Here, Cji is the contribution of the i-th section, and Mji is the running distance of the i-th section.

In this case, the degree of severity (S _T ) can be calculated by the following equation.

If the occurrence times of some of the harsh situations overlap each other, the individual harshness Sj by the jth harsh situation can be calculated by the following equation.

이다. 여기서, Mj는 j번째 가혹 상황의 주행 거리이다. 가혹 상황의 중복을 허용하는 경우엔느 Nc=1로 할 수 있으며, 최대값으로 구간의 가혹도를 대표하여 나태내는 경우 [수학식 7]은 Sj=Mj * Max(Cji)/M으로 된다.Where Mji is the driving distance under the ith sub-harsh situation, Cji is the contribution of the ith sub-harsh situation, and Nc is the

to be. Here, Mj is the traveling distance of the j-th severe situation. In the case of permitting duplication of severe situations, Nc = 1 can be obtained. In case of expressing the severity of the interval as the maximum value, Equation (7) becomes Sj = Mj * Max (Cji) / M.

In the above, a method of calculating the severity using the mileage is exemplified, but the severity can be calculated in the same manner using the travel time. Also, it should be understood that the method of calculating the degree of severity illustrated above is only one example, and that various changes, modifications, and alterations may be made without departing from the technical scope of the present invention.

Referring again to FIG. 5, if the severity is calculated in step S230, the controller determines whether the severity is greater than the first severity (S240). Here, the first degree of severity can be preset in the severe road corresponding to the severe condition in the manual. The degree of severity corresponding to the severe condition in the manual can be preset through the big data analysis.

If the degree of severity is greater than the first degree of severity, the replacement time T1 or the replacement distance M1 under the severe condition is regarded as the replacement time Tc or the replacement distance Mc (S260). FIG. 8 is a view showing a modification of replacement timing of items to be maintained to use the method according to the embodiment of the present invention. The replacement timing of the maintenance target items shown in Fig. 8 is substantially the same as the replacement timing of the maintenance target items shown in Fig. However, in FIG. 7, when the item to be maintained is indicated as " occasional check ", the item to be replaced or the item to be replaced need to be quantified Has been modified. Further, in the modification of the replacement period, the ratio of the replacement period under the normal condition to the replacement period under the severe condition (for example, 1/2) is maintained, but the present invention is not limited thereto.

Referring to FIG. 8, if the degree of severity is greater than the first degree of severity in step S240, the replacement time of the air cleaner filter of the vehicle B becomes 20,000 km. As another example, if the degree of severity is greater than the first degree of severity in step S240, the replacement time of the timing belt of the vehicle A is 80,000 km.

If the severity is less than the first severity in step S240, the controller determines whether the severity is less than the second severity (S250). Here, the second degree of severity may be set in advance to a severe road corresponding to a normal condition on the manual. The degree of severity corresponding to the normal condition on the manual can be preset through the big data analysis.

If the degree of severity is smaller than the second degree of severity, the replacement time T2 under the normal condition or the replacement distance M2 is regarded as the replacement time Tc or the replacement distance Mc in step S270. Referring to FIG. 8, if the degree of severity is smaller than the second degree of severity in step S250, the replacement time of the air cleaner filter of the vehicle B becomes 40,000 km. As another example, if the degree of severity is smaller than the second degree of severity in step S250, the replacement time of the timing belt of the vehicle A is 0,000 km.

If the severity is equal to or greater than the second severity in step S250, the controller determines the replacement time Tc or the replacement distance Mc according to the degree of severity (S280). The replacement time Tc or the replacement distance Mc depending on the degree of severity is determined based on the replacement time T1 under the harsh condition or the replacement distance M1 and the replacement time T2 under the normal condition or the replacement distance M2, Can be determined by interpolation. For example, the replacement time Tc or the replacement distance Mc depending on the degree of severity ST can be determined by the following equation.

For example, if the degree of severity corresponding to the normal condition is 70%, the severity corresponding to the severe condition is 30%, and the degree of severity calculated in S230 is 50%, the replacement of the timing belt The time is 120,000 km according to the linear interpolation method.

Herein, the linear interpolation method is exemplified by the interpolation method of interpolating the replacement time or the replacement distance according to severity, but the present invention is not limited thereto. The interpolation method interpolating the replacement time or the replacement distance according to severity may use at least one of various interpolation methods known as necessary. Various interpolation methods such as linear interpolation, curve interpolation, interpolation using a polynomial function, interpolation using a trigonometric function, interpolation using a logarithmic function, and interpolation using an exponential function are well known and will not be described in detail here.

If the replacement time Tc or the replacement distance Mc has been determined in steps S260 to S280, the controller determines whether the replacement time Tc or the replacement distance Mc and the running time T The replacement residual time Tr or the replacement residual distance Mr is calculated using the distance M (S290). For example, the controller can calculate the replacement remaining time Tr by subtracting the running time T from the previous replacement to the present consumption time at the replacement time Tc, or calculate the replacement remaining time Tr at the replacement distance Mc It is possible to calculate the replacement residual distance Mr by subtracting the running distance M of the vehicle.

For example, if a vehicle having a replacement timing of 120,000 km of the timing belt of the vehicle A according to the degree of severity traveled 110,000 km after the replacement of the previous timing belt, the replacement remained distance would be 10,000 km.

Thereafter, the controller notifies the replacement time of the consumables (S300). For example, the first display 180 or the main server 200 may display the replacement remaining time or the replacement remaining distance, or may display the replacement remaining time or replacement remaining distance on the home page to which the user has connected. Further, if the replacement residence time Tr is smaller than the threshold time or the replacement residence distance Mr is smaller than the critical distance, the controller can light the warning light on the in-vehicle first display 180 or reproduce the warning sound. Furthermore, if the replacement residence time Tr is smaller than the threshold time or the replacement residence distance Mr is smaller than the threshold distance, the controller can display the push notification window to the registered mobile terminal 300 or the main server .

On the other hand, if the consumable is replaced, the controller resets all mileage or travel time associated with the embodiment of the present invention. Through this, the travel time or travel distance after the previous replacement of the consumables and the travel distance or travel time under the corresponding severe condition after the previous replacement of the consumables can be accumulated again.

Referring again to FIG. 4, the controller diagnoses whether the parts of the vehicle are defective (S120). The defectiveness of the part may be calculated by the diagnostic apparatus 100 installed in the vehicle or may be calculated by the second controller of the main server 200. [ That is, the main server 200 can receive the measured values measured by the sensor unit 110 installed in the vehicle through the wired / wireless network in real time to diagnose whether the parts are defective.

Hereinafter, a method for diagnosing whether or not an automotive part is defective will be described.

The defect of each automotive part is defined as a defect of the diagnostic item for the corresponding automobile part, and the kind of the state variable and the kind of the state value for each diagnostic item are defined. Here, the set of state variables for each diagnostic item is defined as a state vector. A method for diagnosing defects of an automotive part, the method comprising: classifying a plurality of diagnostic items into a first diagnostic item and a second diagnostic item; measuring state variables and state values at each measurement period; Constructing a database including an exponent value and a reference exponent value for each diagnostic item in each state vector on the basis of the state values and the exponent value for each diagnostic item in the particular state vector, And diagnosing a defect of each diagnostic item by comparing it with a reference exponent value for each diagnostic item in the vector.

FIG. 10 is a flowchart of a method of diagnosing defects of an automotive part according to an embodiment of the present invention, FIG. 11 is a flowchart illustrating details of steps S600 and S700 of FIG. 10 when an arbitrary diagnostic item is a first diagnostic item And FIG. 12 is a flowchart illustrating details of steps S600 and S700 of FIG. 10 when an arbitrary diagnostic item is a second diagnostic item.

As shown in FIG. 10, a method for diagnosing a defect of an automotive part according to an embodiment of the present invention starts at step S400. In step S400, the first diagnostic item and the second diagnostic item are classified according to the amount of data necessary for diagnosis of a plurality of diagnostic items for diagnosing defects of the automotive parts. The classification of the first and second diagnostic items may be preset by the designer and stored in the first memory 170. For example, the first diagnostic item may include an engine overheat, a ball joint over gap, a quantitative gas injection, a sudden drive, and the second diagnostic item may include a tripod, a wheel bearing, a wheel unbalance, a brake judder, A damper, a timing belt, and a wheel alignment. The first and second diagnostic items are not limited to those described herein.

During operation of the vehicle, the sensor unit 110 measures state variables and state values at each measurement period (S500). The measurement period, the kind of state variables for each diagnostic item, and the kind of state value may be set in advance.

The controller constructs a database based on the state variables and the state values (S600). That is, the sensor unit 110 receives the state variables and the state values measured at each measurement period and receives the state variables and the state values transmitted to at least one of the first, second, and third memories 170, 250, . In addition, the controller processes the stored state values at predetermined intervals to calculate an exponent value for the corresponding diagnostic item in each state vector and a reference exponent value for the corresponding diagnostic item, and calculates an exponent value And the reference index value for the diagnostic item are stored in the first memory 170.

Then, the controller diagnoses a defect of the diagnostic item by comparing an exponent value for the diagnostic item with a reference exponent value for the diagnostic item in an arbitrary state vector (i.e., the currently measured set of state variables) (S700 ).

Hereinafter, when an arbitrary diagnostic item is the first diagnostic item based on FIG. 11, steps S600 and S700 of FIG. 10 will be described in more detail.

As shown in FIG. 11, the controller stores the state value in each state vector for a certain diagnostic item (S610). Hereinafter, the respective diagnostic items, the respective state vectors for the diagnostic items, and the state values are illustrated.

{If the diagnostic item is overheated}

When the diagnosis item is the engine overheating, the engine overheat is diagnosed when the running distance of the vehicle is larger than the set running distance.

In this case, the state value is the engine temperature and the state variables are the engine speed, the vehicle speed, and the accelerator pedal angle. That is, the engine temperature is stored under the measured engine speed, vehicle speed, and accelerator pedal angle.

{If the diagnostic item is an over gap of the ball joint}

If the diagnosis item is an over gap of the ball joint, the over-gap of the ball joint is diagnosed when the brake pedal is ON and the accelerator pedal is OFF, or the brake pedal is OFF, In the ON state, the over-gap of the ball joint can be diagnosed.

In both cases, the state value is the double integral of the (knuckle vibration-body vibration) value, and the state variables are the vehicle speed and acceleration / deceleration. That is, when the brake pedal is ON and the accelerator pedal is OFF, the state variables are the vehicle speed and the deceleration. When the brake pedal is OFF and the accelerator pedal is ON, Vehicle speed and acceleration.

{If the diagnostic item is a metering fluid}

When the diagnosis item is a fixed quantity of fuel, the fixed fuel injection is diagnosed when the difference between the amount of the initial fuel at the time when the ignition is turned off and turned on and the amount of the final fuel at the time when the ignition is turned on again is greater than the set value.

In this case, the state value is the amount of fuel (ie, the amount of final fuel - the amount of initial fuel), and the state variables are the amount of initial fuel and GPS.

{If the diagnostic item is a sudden start}

If the diagnostic item is a sudden acceleration, the rapid pedal can be diagnosed when the brake pedal is on and the acceleration is greater than zero.

In this case, the state value is the acceleration (differential value of the vehicle speed) and the state variable is the vehicle speed, the angle of the accelerator pedal, and the engine speed.

In step S500, the state variables and the state values are measured for each measurement period. If the state values are stored in the respective state vectors in step S610, the controller calculates the exponent value and the reference exponent value by processing the state value every set period (step S620 ).

), 피크(

), 실효값(

), 파고율(

), 왜도(

), 첨도(

), 클리어런스 팩터(

), 임펄스 팩터(

), 쉐입 팩터(

), 확률 함수(

), 통계적 모멘트(

) 중 어느 하나의 값일 수 있다. 기준 지수값의 종류는 해당 진단 아이템에 따라 적절한 것으로 선택할 수 있다.Here, the reference index value is an average of the index values

), peak(

), An effective value

), Crest factor

), Why (

), Kurtosis (

), Clearance factor (

), An impulse factor (

), Shape factor (

), Probability function (

), A statistical moment

). ≪ / RTI > The type of reference index value can be selected as appropriate according to the diagnosis item.

For example, when the type of the reference index value is the peak and the diagnostic item is the engine overheating, calculation of the exponent value and the reference exponent value is as follows. Here, the set period of the first diagnostic item is the same as the measurement period, and the exponent value of the first diagnostic item may be the same as the status value of the diagnostic item.

The controller retrieves the exponent value (engine temperatures in all the state vectors) calculated in the previous set period and the reference exponent value (the peak value of the engine temperature in all the state vectors multiplied by the safety factor) The state values (engine temperature in the measured state vector) measured up to the currently set period are recalled. The controller then substitutes the measured engine temperatures at the currently set period into the exponent value at each state vector in the currently set period. Also, the controller may calculate the corresponding state vector (engine temperature) in the currently set period by reflecting the exponent value (engine temperature) in the currently measured state vector to the reference exponent value (the peak value of the engine temperature multiplied by the safety factor) The reference index value is calculated.

Thereafter, the controller stores the exponent value and the reference exponent value in each state vector in the currently set period (S630), and determines whether the exponent value in any state vector is larger than the reference exponent value (S710). That is, it is determined whether the engine temperature at an arbitrary state vector (currently measured state vector) is greater than a value obtained by multiplying peak values of the engine temperature at the corresponding state vector by the safety coefficient.

If it is determined in step S710 that the exponent value in an arbitrary state vector is larger than the reference exponent value, the controller determines whether the exponent value is greater than the reference exponent value by more than the predetermined number of times in operation S715. Step S715 is for eliminating the influence of the disturbance. That is, under certain operating conditions, the state value may become large due to disturbance. Therefore, in order to eliminate the influence of the disturbance, it is determined whether the abnormal state (state where the exponent value is larger than the reference exponent value) is repeated more than the set number of times. The set number of times may be set for each diagnostic item in consideration of the degree of influence of the disturbance on the state value.

If the abnormal state is not repeated more than the predetermined number of times in step S715, the controller stores a value obtained by adding 1 to the previous count as the current count (S720), and proceeds to step S730. If it is determined in step S715 that the abnormal condition has been repeated more than the set number of times, the controller determines that a defect has occurred in the diagnostic item (S725) and proceeds to step S730.

In step S730, the state values affected by the disturbance are excluded from the exponent value and the reference exponent value. That is, the exponent value and the reference exponent value in the corresponding state vector are maintained as the exponent value and the reference exponent value in the corresponding state vector in the currently set period in the previously set period.

On the other hand, in order to reduce the amount of data stored in the memories or transmitted through the communication, the exponent value in the corresponding state vector and the data used in the calculation of the reference exponent value may be deleted in the previously set period. Accordingly, the data before the previous set period is left with a representative value indicating the characteristics (for example, an exponent value and a reference exponent value in each state vector), and the representative value can be transmitted through communication.

Thus, when the diagnostic item is the first diagnostic item, the amount of data required for diagnosis of the diagnostic item is small. That is, it may be a state value at a certain time point in the time domain or a state value within a certain time domain. In addition, it is possible to diagnose the defect of the first diagnostic item without converting the state value in the time domain into the frequency domain. Further, rather than storing / transmitting all the data for the diagnostic item, only the representative value that can confirm the tendency of the data is stored, so that the amount of data stored in the memory or the amount of data transmitted through the communication can be reduced.

Hereinafter, when an arbitrary diagnostic item is a second diagnostic item based on FIG. 12, steps S600 and S700 of FIG. 10 will be described in more detail.

As shown in FIG. 12, the controller stores the state value in each state vector for a certain diagnostic item (S610). Hereinafter, the respective diagnostic items, the respective state vectors for the diagnostic items, and the state values are illustrated.

{If the diagnostic item is a tripod}

If the diagnostic item is a tripod, the state value is knuckle vibration and the state variables are engine speed, vehicle speed, and steering angle. That is, the knuckle vibration is stored under the measured engine speed, vehicle speed, and steering angle.

{IF DIAGNOSTIC ITEM IS WHEEL BEARING}

If the diagnostic item is a wheel bearing, the state value is the knuckle vibration and the state variables are the engine speed, the vehicle speed, and the angle of the accelerator pedal.

{If the diagnostic item is wheel unbalanced}

If the diagnostic item is a wheel unbalance, the brake pedal is diagnosed in the off state. In this case, the state value is the knuckle vibration and the state variables are the engine speed, the vehicle speed, and the angle of the accelerator pedal.

{If the diagnostic item is a brake judder}

When the diagnostic item is a brake judder, the brake pedal can be turned on and the accelerator pedal can be diagnosed in the off state. In this case, the state value is knuckle vibration, and the state variables are engine speed, vehicle speed, and deceleration.

{When the diagnostic item is a damper}

If the diagnostic item is a damper, the state value is the difference between the body vibration and the knuckle vibration, and the state variables are the steering angle, vehicle speed, acceleration / deceleration.

{If the diagnostic item is a timing belt}

If the diagnostic item is a timing belt, the brake pedal can be diagnosed in the off state. In this case, the state value is the timing belt vibration (or engine vibration) and the state variables are the engine speed, the vehicle speed, and the angle of the accelerator pedal.

{IF DIAGNOSTIC ITEM IS WHEEL ALIGNMENT}

If the diagnostic item is wheel alignment, the brake pedal can be diagnosed in the off state. In this case, the state value is the lateral vibration of the wheel (which can be measured by a wheel acceleration sensor) and the state variables are the engine speed and vehicle speed.

In step S500, the state variables and the state values are measured for each measurement period. If the state values are stored in the respective state vectors in step S610, the controller calculates the exponent value and the reference exponent value by processing the state value every set period (step S620 '). Wherein when the diagnostic item is a second diagnostic item, the set period includes a first period and a second period longer than the first period, and wherein the exponent value and the reference exponent value include a first exponent value A first reference exponent value, and a second exponent value and a second reference exponent value, which are processed every second period. Here, the first exponent value and the first reference exponent value are values in the time domain, and the second exponent value and the second reference exponent value are values in the frequency domain. For example, a tripod, a wheel bearing, a wheel unbalance, and a brake judder all have knuckle vibrations, although the state vectors are slightly different. Therefore, when the knuckle vibration is large, it can be known that any one of the related diagnostic items (tripod, wheel bearing, wheel unbalance, brake judder) is defective. However, have. Therefore, after determining that there is an abnormality in the related diagnostic items using the first index value and the first reference index value calculated in the time domain, the second index value and the second reference index value calculated in the frequency domain It is possible to determine which diagnostic item is defective. On the other hand, in order to calculate the second exponent value and the second reference exponent value in the frequency domain, a large amount of data belonging to a short time range is required. Therefore, a large amount of memory resources may be consumed to calculate the second exponent value and the second reference exponent value. In order to solve this problem, the second index value and the second reference index value are calculated every second period so as to determine the trend while reducing the amount of memory resources and data. The first index value and the first reference index The second index value and the second reference index value are necessarily calculated in the case where a defect of the related diagnostic item is determined based on the value of the diagnostic value. The first sampling period of the state values for processing the first exponent value and the first reference exponent value is longer than the second sampling period of the state values for processing the second exponent value and the second reference exponent value. That is, the first exponent value and the first reference exponent value are sampled at a low frequency, and the second exponent value and the second reference exponent value are sampled at a high frequency.

), 피크(

), 실효값(

), 파고율(

), 왜도(

), 첨도(

), 클리어런스 팩터(

), 임펄스 팩터(

), 쉐입 팩터(

), 확률 함수(

), 통계적 모멘트(

) 중 어느 하나의 값일 수 있다. 제1기준 지수값의 종류는 해당 진단 아이템에 따라 적절한 것으로 선택할 수 있다.Here, the first reference exponent value is an average of the exponent value (

), peak(

), An effective value

), Crest factor

), Why (

), Kurtosis (

), Clearance factor (

), An impulse factor (

), Shape factor (

), Probability function (

), A statistical moment

). ≪ / RTI > The type of the first reference index value can be selected as appropriate according to the diagnostic item.

For example, when the type of the first reference exponent value is an effective value and the diagnostic item is a tripod, calculation of the first exponent value and the first reference exponent value is as follows. Here, the first and second periods of the second diagnostic item may be longer than the measurement period, and the first index value of the second diagnostic item may be the same as the status value of the diagnostic item.

The controller calculates the first index value (knuckle vibrations in all the state vectors) and the first reference index value (the value obtained by multiplying the effective values of the knuckle vibrations in all the state vectors by the safety factor) calculated in the first set period (Knuckle vibrations in the measured state vector) measured from the first cycle set previously to the first cycle set currently. Thereafter, the controller assigns the knuckle vibrations measured in the currently set first period to the first index value in each state vector in the currently set first period. Further, the controller reflects the first index value (knuckle vibration) in the currently measured state vector to the first reference index value (the value obtained by multiplying the effective value of the knuckle vibrations by the safety factor) calculated in the first set period, And calculates a first reference index value in the corresponding state vector in the set first period.

The second index value and the second reference index value may be processed by an envelope analysis or a Fast Fourier Transform (FFT) on the sampled state values. Whether the second exponent value and the second reference exponent value are processed by either the envelope analysis or the fast Fourier transform can be preset according to the type of the second diagnostic items. Since the envelope analysis or the fast Fourier transform is well known to those skilled in the art, a detailed description thereof will be omitted.

For example, if the second diagnostic item is a tripod, the knuckle vibration is calculated through an envelope analysis, the enveloping spectrum is set as a second exponent value, and the enveloping spectrum is multiplied by a safety factor Value to the second reference exponent value.

When the second diagnostic item is a wheel bearing, the knuckle vibration is calculated by the envelope analysis, the enveloping spectrum is set as the second exponent value, and the value obtained by multiplying the enveloping spectrum by the safety factor is set as the second The reference index value.

When the second diagnostic item is a wheel unbalance, the FFT spectrum is calculated by the FFT spectrum using the FFT spectrum as the second exponent value, and the FFT spectrum is multiplied by the safety factor as the second reference exponent value .

When the second diagnostic item is a brake judder, the knuckle vibration may be calculated by calculating the FFT spectrum through FFT, taking the FFT spectrum as the second exponent value, and multiplying the FFT spectrum by the safety factor as the second reference exponent value .

When the second diagnosis item is a damper, the FFT spectrum is calculated by subtracting the knuckle vibration from the body vibration by the FFT analysis, the FFT spectrum is taken as the second exponent value, and the value obtained by multiplying the FFT spectrum by the safety factor is set as the second criterion It can be an exponent value.

If the second diagnostic item is a timing belt, the FFT spectrum may be calculated by FFT through the engine vibration, the FFT spectrum may be regarded as the second exponent value, and the FFT spectrum multiplied by the safety factor may be used as the second reference exponent value .

When the second diagnostic item is wheel alignment, the FFT spectrum is calculated through FFT analysis of the wheel lateral vibration, the FFT spectrum is set as the second exponent value, and the value obtained by multiplying the FFT spectrum by the safety factor is set as the second reference exponent value .

The reason why the second index value and the second reference index value are processed by either the envelope analysis or the fast Fourier transform according to the type of the second diagnostic items is that the defect frequency is changed according to the type of the item. Is different. That is, either the envelope analysis or the fast Fourier transform is selected so that the defective frequency appears well depending on the type of the item. For example, in the case of a defect in a wheel bearing or a defect in a wheel unbalance, the types of state vectors are the same and the types of the state values are the same. However, the defect of the wheel bearing can be diagnosed by calculating the envelope spectrum through the envelope analysis, and the defect of the wheel unbalance can be diagnosed by calculating the FFT spectrum through the FFT.

Thereafter, the controller stores the first and second reference exponent values and the first and second reference exponent values in the respective first and second cycles in the currently set state vector (S630 '), Value is greater than the first reference index value (S740). That is, a first index value (knuckle vibrations) at an arbitrary state vector (state vectors measured during the first sampling period) is multiplied by a first reference index value at the corresponding state vector (I.e., a value obtained by multiplying a value obtained by multiplying?

If it is determined in step S740 that the first index value in the arbitrary state vector is greater than the first reference index value, the controller determines whether the first index value is greater than the first reference index value by more than a preset number of times in step S742. Step S742 is for eliminating the influence of the disturbance. That is, under certain operating conditions, the state value may become large due to disturbance. Therefore, in order to eliminate the influence of the disturbance, it is determined whether the abnormal state (state where the first index value is larger than the first reference index value) is repeated more than the predetermined number of times. The set number of times may be set for each diagnostic item in consideration of the degree of influence of the disturbance on the state value.

If it is determined in step S742 that the abnormal state has not been repeated more than the predetermined number of times, the controller stores the value obtained by adding 1 to the previous count as the current count (S743), and proceeds to step S744. If it is determined in step S742 that the abnormal condition has been repeated more than the set number of times, the controller determines that a defect has occurred in the related diagnostic items and proceeds to step S745.

In steps S744 and S745, the state values affected by the disturbance are excluded from the first exponent value and the first reference exponent value. That is, the first exponent value and the first reference exponent value in the corresponding state vector in the previously set first period are maintained as the first exponent value and the first reference exponent value in the corresponding state vector in the currently set first period.

If it is determined that a defect has occurred in the related diagnostic items, the controller proceeds to step S747 to determine which diagnostic item has an error. As described above, if it is determined that there is an abnormality in the related diagnostic items, the controller calculates the second index value and the second reference index value regardless of the second period (S747). The calculation of the second exponent value and the second reference exponent value in step S630 'is for building a database and confirming the tendency. In step S747, This is to determine which diagnostic item has a defect. The calculation of the second exponent value and the second reference exponent value in step S747 may be performed in the same manner as in step S630 '.

Thereafter, the controller stores the second exponent value and the second reference exponent value in each state vector in the currently set second period, and determines whether the second exponent value in any state vector is larger than the second reference exponent value (S750). That is, the second exponent value (the envelope spectrum of the knuckle vibration) at an arbitrary state vector (the state vectors measured during the second sampling period) is compared with the second reference exponent value at the corresponding state vector Value obtained by multiplying the ping spectrum by the safety factor).

If it is determined in step S750 that the second exponent value in the arbitrary state vector is greater than the second reference exponent value, the controller determines whether the second exponent value is greater than the second reference exponent value by more than the predetermined number of times. Step S752 is for eliminating the influence of the disturbance. That is, under certain operating conditions, the state value may become large due to disturbance. Therefore, in order to eliminate the influence of the disturbance, it is determined whether the abnormal state (state where the second exponent value is larger than the second reference exponent value) is repeated more than the set number of times. The set number of times may be set for each diagnostic item in consideration of the degree of influence of the disturbance on the state value.

If it is determined in step S752 that the abnormal state has not been repeated more than the preset number of times, the controller stores the value obtained by adding 1 to the previous count as the current count (S753), and proceeds to step S770. If it is determined in step S752 that the abnormal condition has been repeated more than the predetermined number of times, the controller determines that a defect has occurred in the diagnostic item (S760), and proceeds to step S770.

In step S770, the state values affected by the disturbance are excluded from the second exponent value and the second reference exponent value. That is, in step S630 ', the second exponent value and the second reference exponent value in the corresponding state vector are maintained as the second exponent value and the second reference exponent value in the corresponding state vector in the currently set second period.

Meanwhile, in order to reduce the amount of data stored in the memories or transmitted through communication, the first and second exponent values and the first and second reference exponent values in the corresponding state vector in the first and second periods, All data can be deleted. Accordingly, only the representative values representing the characteristics (for example, the first and second exponent values and the first and second reference exponent values in the respective state vectors) remain in the data of the first and second previous cycles, The value can be transmitted over the communication.

If the diagnostic item is the second diagnostic item, the first index value and the first reference index value in the time domain are used to determine whether the relevant diagnostic items are defective. The second index value in the frequency domain and the second index value 2 < / RTI > reference index value to determine which diagnostic item has failed. Therefore, it is possible to accurately diagnose the vehicle parts.

In addition, since the second index value and the second reference index value, which have a large amount of data to be stored / transmitted, are calculated for each very long period compared to the first index value and the first reference index value, .

In addition, if a defect of the related diagnosis items is identified by the first index value and the first reference index value, the second index value and the second reference index value are calculated irrespective of the second period, At the same time, the consumption of memory resources for calculating the second exponent value and the second reference exponent value can be reduced.

Further, rather than storing / transmitting all the data for the diagnostic item, only the representative value that can confirm the tendency of the data is stored, so that the amount of data stored in the memory or the amount of data transmitted through the communication can be reduced.

Referring again to FIG. 4, the main server 200 receives information on replacement timing of consumables and maintenance history of defective parts (S130). Information on the maintenance history can be received from the diagnostic apparatus 100 of the automobile, the maintenance company server 420, or the portable terminal 300 of the automobile owner who replaces consumables and components.

The main server 200 receives information on a replacement time of a consumable item from a car and a maintenance history of a defective part and transmits the information to a related company server and / or information on a replacement part of a consumable item from a car and information on a defective part To the portable terminal 300 of the vehicle owner (S140).

The owner of the vehicle having the portable terminal 300 can confirm consumable item replacement timing information and information of the defective part, replace the expendable item with the replacement timing, and perform maintenance on the defective part.

In addition, the related company server can receive information on the replacement period of the consumables received from the main server 200, information on the defective part, information on the replacement timing of the consumables, and maintenance history of the defective part, .

Specifically, the insurance company server 410 receives the car information including the replacement time of the consumables, the defective parts, and the maintenance history from the main server 200, generates the insurance discount information of the car, And transmits the data to the portable terminal 300 through the main server 200 (S150). The insurance company server 410 can discount the insurance amount at a predetermined rate when the diagnostic apparatus 100 is installed in the vehicle. Alternatively, the insurance amount of the automobile received from the main server 200 may be discounted. The insurance company server 410 may transmit this information to the vehicle owner's portable terminal 300 through the main server or directly to the vehicle owner's portable terminal 300. Through this process, the main server 200 can receive a certain fee from the insurer.

The maintenance company server 420 may receive information on the replacement time of the consumables and information on the defective parts of the parts from the main server 200, and may transmit the information on the consumables and / or parts to the parts supplier server of the parts supplier (S152). The maintenance company server 420 performs auction to a plurality of parts supplier servers having the corresponding consumables and / or parts, and selects the parts supplier server bidding at the lowest price as a supplier for supplying the consumables / parts .

The car rental company server 430 receives the car information including the replacement time of the consumables, the defective parts, and the maintenance history from the main server 200, generates the customer's rating information, directly transmits the rating information to the portable terminal 300, To the portable terminal 300 through the server 200 (S154). The car rental company server 430 can discount the rental amount of the car at a set rate when the diagnostic apparatus 100 is installed in the car. Alternatively, a high-grade customer rating can be assigned to a driver of a vehicle in which a consumable has been replaced at an appropriate time by utilizing information on a maintenance history received from the main server 200, or a replacement of defective parts is performed. A driver with a high customer rating can get a discount on car rental rates at a high discount rate when renting a car through a car rental server. The car rental company server 430 may transmit this information to the car owner's portable terminal 300 through the main server or directly to the car owner's car terminal 300. Through this process, the main server 200 can receive a commission of a predetermined fee from the rental car company.

The transport company server 440 receives the car information including the replacement time of the consumables, the defective parts, and the maintenance history from the main server 200, generates the driver's rating, directly transmits the rating to the portable terminal 300, To the portable terminal 300 through the portable terminal 200 (S156). The transportation company server 440 uses the information on the maintenance history received from the main server 200 to replace the consumables at an appropriate time or to provide the driver of the vehicle having the defective parts replaced with a high- Can be assigned. A driver with a high rating can be given a good appraisal (for example, at the time of pay appraisal) for the driver, assuming that the car has been maintained in good condition by car maintenance at an appropriate time. The transportation company server 440 may transmit this information to the vehicle owner's portable terminal 300 through the main server or directly to the vehicle owner's portable terminal 300.

The portal server 450 receives automobile information including the replacement time of the consumables, the defective parts, and the maintenance history from the main server 200, and stores the information on the maintenance history of each vehicle type, the maintenance history of each model, It can be constructed as a base. The portal server 450 posts database-based vehicle information on the portal site (S158), and provides the information necessary for the purchase of the vehicle to the customer or information on the maintenance or tuning of the vehicle. Through this process, the main server 200 can receive the commission of a certain fee from the automobile production / sales company.

The used car supplier server 460 receives the car information including the replacement time of the consumables, the defective parts, and the maintenance history from the main server 200, sets the rating of the car according to the maintenance history, And transmits the data to the portable terminal 300 through the main server 200 (S160). The used car supplier server 460 may be configured to determine whether the consumable is replaced at a proper time by using the information on the maintenance history received from the main server 200 or if the car is replaced with a defective part, It is possible to set a high grade automobile grade. A car with a high rating can be seen as a guaranteed quality when buying and selling a used car, so it can form a high price used car market. Through this process, the main server 200 can receive a commission of a predetermined fee from the used car company.

According to the automobile management system of the present invention as described above, the owner of the vehicle can receive the replacement time of the consumables and the defect information of the parts received from the main server to repair the consumables / defective parts, Can be integrally managed.

In addition, various business models can be implemented through related companies by providing automobile related information including the replacement timing of consumables, defective parts, and maintenance history received from the diagnostic device of the automobile to automobile related companies.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, but, on the contrary, And it goes without saying that the invention belongs to the scope of the invention.

Claims (27)

delete delete delete delete delete delete delete delete The method comprising: receiving data from an automobile, calculating a replacing time of consumables based on the data, transmitting the data to a portable terminal of a vehicle owner, diagnosing a defect of the part based on the data and transmitting the diagnosis to the portable terminal, The maintenance information receiving unit receives the maintenance history information corresponding to the replacing timing of the consumables and the defects of the parts from the owner's portable terminal and builds the car information including the replacement time of the consumables, the defects of the parts, A main server for transmitting the database-based vehicle information to a portable terminal or a server of a related company;
Lt; / RTI >
The defect of each automobile part is defined as a defect of the diagnostic item for the corresponding automobile part, the kind of state variable and the kind of state value for each diagnostic item are defined, and a set of state variables for each diagnosis item is defined as a state vector A plurality of diagnostic items are classified into a first diagnostic item and a second diagnostic item,
The main server
Receiving the data including the state variables and the state value every measuring cycle,
Storing a state value for each diagnostic item in each state vector based on the state variables and the state value, processing the stored state value every set period, calculating an exponent value And a reference index value for the diagnostic item is stored in the corresponding state vector, and an exponent value for the diagnostic item in the arbitrary state vector is stored And compares it with a reference index value for the diagnostic item,
When the arbitrary diagnostic item is the first diagnostic item, the set period is the same as the measurement period,
Wherein the predetermined period includes a first period and a second period longer than the first period when an arbitrary diagnostic item is a second diagnostic item, and the exponent value and the reference exponent value include a first index Value and a first reference exponent value, and a second exponent value and a second reference exponent value processed for each second period,
An exponent value and a reference exponent value for the first diagnostic item, and a first exponent value and a first reference exponent value for the second diagnostic item are values in the time domain, and a second exponent value for the second diagnostic item And the second reference exponent value are values in the frequency domain. 10. The method of claim 9,
The main server
The degree of severity is calculated by determining whether at least one severe situation occurs, calculating the contribution of the severity, calculating the degree of severity using the contribution of the severity, the distance traveled or the time under the severity, Determines a replacement time or a replacement distance, and compares the replacement time or replacement distance with a travel time or a travel distance after a previous replacement of a consumable item to transmit a replacement time of the consumable item to the portable terminal. 11. The method of claim 10,
The main server
Wherein said degree of severity is calculated according to the individual severity of each of the harsh situations that have occurred up to the present after the replacement of the consumables. 11. The method of claim 10,
The main server
The degree of severity is calculated according to the individual severity of each of the severe situations occurring up to now after the replacement of the consumables and the proportion of the severity to the severity, A predefined automotive management system defined by its impact. 11. The method of claim 10,
The main server
If the degree of severity is larger than the first degree of severity of the predetermined severe condition, the replacement time or the replacement distance under the severe condition is determined as the replacement time or the replacement distance,
If the degree of severity is smaller than the second degree of severity of the predetermined normal condition, the replacement time or replacement distance under normal conditions is determined as the replacement time or replacement distance,
If the degree of severity is equal to or greater than the second degree of severity and equal to or less than the first degree of severity, the replacement time or replacement distance under severe conditions and the replacement time or replacement distance under normal conditions are interpolated according to the degree of severity to determine the replacement time or replacement distance Car management system. 11. The method of claim 10,
The main server
And calculates a replacement remaining time or replacement remaining distance by subtracting the driving time or the driving distance after the previous replacement of the consumable at the replacement time or the replacement distance. delete 10. The method of claim 9,
Wherein the first sampling period of the state values for processing the first exponent value and the first reference exponent value is longer than the second sampling period of the state value for processing the second exponent value and the second reference exponent value. 10. The method of claim 9,
The main server
The second index value and the second reference exponent value are processed by one of the sampled state values determined according to the type of the second diagnostic items during the envelope analysis and the fast Fourier transform. 10. The method of claim 9,
If the arbitrary diagnostic item is the first diagnostic item, the main server determines that the index value for the diagnostic item in the arbitrary state vector at the currently set period is equal to or greater than the reference index value for the diagnostic item at the currently set period, The diagnosis is made by the defect of the diagnostic item. 19. The method of claim 18,
If an arbitrary diagnostic item is a second diagnostic item, if a state in which a first index value for a corresponding diagnostic item in an arbitrary state vector is equal to or greater than a first reference index value for the diagnostic item in the currently set period is repeated more than the preset number, The main server further calculates a second index value for the item and a second reference index value for the item independently of the second period,
Wherein the main server diagnoses the defect as a defect of the diagnostic item when the state of the second index value for the item in the arbitrary state vector is equal to or greater than the second reference index value for the item, 20. The method according to claim 18 or 19,
If it is diagnosed that there is a defect of the diagnostic item, the main server calculates the index value, the reference index value, the first index value and the first reference index value, or the second index value and the second reference index value, The first index value and the first index value, or the second index value and the second reference index value, which are calculated in the currently set period. 10. The method of claim 9,
The related vendor server
A car management system including an insurance company server, a maintenance company server, a car rental company server, a transportation company server, a portal server, and a used car server. 22. The method of claim 21,
Wherein the main server receives insurance discount information from the insurance company server and transmits the insurance discount information to the mobile terminal. 22. The method of claim 21,
The main server receives the supply information and the replacement information for the defective part from the maintenance company server and transmits the replacement information to the plurality of parts supplier servers having the consumables and parts, A car management system that carries out bidding on a vehicle. 22. The method of claim 21,
Wherein the main server receives the customer grade according to the maintenance history from the car rental company server and transmits the received customer grade to the mobile terminal. 22. The method of claim 21,
Wherein the main server receives a driving grade corresponding to a maintenance history from the transportation company server and transmits the driving class to the portable terminal. 22. The method of claim 21,
Wherein the portal server provides information on a maintenance history of each vehicle type, a maintenance history of each model, and a maintenance cost from the vehicle information received from the main server. 22. The method of claim 21,
And the main server receives the vehicle grade corresponding to the maintenance history from the used car dealer server and transmits the received vehicle grade to the mobile terminal.

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