KR20190133841A - Apparatus and method of providing vehicle preventive maintenance service - Google Patents

Abstract

An apparatus for providing a preventive vehicle maintenance service comprises: a vehicle information generation unit to generate vehicle information including vehicle diagnosis information diagnosed in real time while driving a vehicle and vehicle state information representing a current state of the vehicle; a vehicle fault occurrence foreseeing unit to generate a vehicle part state consisting of preventive maintenance urgency and vehicle parts based on the vehicle information to foresee an occurrence of a fault; a vehicle garage recommendation unit to recommend a vehicle garage based on a price or a distance based on the preventive maintenance urgency included in the at least one vehicle part state; and a preventive maintenance service reward unit to detect whether a maintenance service for the corresponding vehicle part state in accordance with the preventive maintenance urgency is performed to provide a preventive maintenance service reward. Therefore, the apparatus and a method for providing a preventive vehicle maintenance service generate state information of a vehicle by the vehicle information generation unit and analyze the vehicle state information to foresee an occurrence of a fault, recommend a vehicle garage based on preventive maintenance urgency, and provide a service reward depending on whether maintenance is performed.

Description

Vehicle preventive maintenance service providing apparatus and method {APPARATUS AND METHOD OF PROVIDING VEHICLE PREVENTIVE MAINTENANCE SERVICE}

The present invention relates to a vehicle preventive maintenance service, and more particularly, to a vehicle preventive maintenance service providing apparatus and method for preventing and maintaining vehicle parts by generating and utilizing diagnostic information of the vehicle.

Vehicles and machinery, including automobiles, constantly operate parts and reduce durability in the driving process for the role. Therefore, the parts constituting the vehicle and the machine vary in the degree of wear depending on the type and role, and must be replaced and repaired as necessary.

However, which parts are damaged due to deterioration in durability depends on the environment of the vehicle and the machine, and the replacement and repair are performed by setting the mileage or time in a batch.

However, due to the different environment of vehicle and machine operation, the indifference of the user who is not aware of the importance of the parts damage or the parts breakage condition before the collective replacement time causes the failure, resulting in accidents involving human and physical damages. Causes great social loss.

In order to prevent such damage, research and development are being conducted to increase the driver's satisfaction by maintaining consumables and driving stability by replacing consumables and parts in a timely manner to prevent breakage of parts.

Korean Patent No. 10-1127625 relates to a customized preventive maintenance guide system for a vehicle, and stores a preventive maintenance list according to characteristics of a vehicle in a server 330 and accesses a user's vehicle model, model year, and the like according to a user's request. In the customized preventive maintenance guide system for providing a preventive maintenance list according to the mileage, it is installed in the maintenance company subscribed as a member, the server receives the model, year, maintenance history of the vehicle maintained by the maintenance company the server (330 Input terminal 300 for transmitting; A maintenance history database 400 interlocked with the server 330 and storing maintenance information for each vehicle type and model year inputted through the input terminal 300; Installed in the server 330 to statistically process the maintenance history for each vehicle type and year from the information stored in the maintenance history database 400 to generate and store a preventive maintenance list according to the command or mileage for each car type and year Statistics module 500; characterized in that it comprises a.

Korean Patent No. 10-1053722 discloses a car self-diagnosis system using a telematics device and a method thereof. The car self-diagnosis system using a telematics device receives a detection signal from various sensors and based on the detection of abnormality of each device. The plurality of electronic control units (ECU) accordingly generating a corresponding diagnostic code; A self-diagnostic interface device for storing data on the presence or absence of a diagnosis target item received through the electronic control unit (ECU); And a telematics device connected to the self-diagnosis interface device through a predetermined communication line and displaying diagnostic information according to the received data in real time to the driver. According to the present invention, the driver can check the state of the vehicle in real time while driving the vehicle, there is an advantage that it is easy to prepare for the accident. In addition, even a beginner driving can easily determine the state of the vehicle through the monitor, it is possible to grasp the state of the vehicle in real time has the advantage of eliminating the burden of having to go to the repair shop for maintenance from time to time.

Korea Patent Registration No. 10-1127625 (Registered on March 9, 2012) Korea Patent Registration No. 10-1053722 (Registered Jul. 27, 2011)

An embodiment of the present invention is to provide a vehicle preventive maintenance service providing apparatus and method for generating a current state and vehicle state information of the vehicle and grasping the state of the vehicle parts to predict the occurrence of a failure of the vehicle.

An embodiment of the present invention is to provide a vehicle preventive maintenance service providing apparatus and method for recommending a vehicle repair shop based on the preventive maintenance urgency according to the state of the vehicle parts.

An embodiment of the present invention is to provide a vehicle preventive maintenance service providing apparatus and a method for providing a preventive maintenance bonus based on whether or not the vehicle maintenance performed in the vehicle repair shop on the basis of the preventive maintenance urgency according to the state of the vehicle parts.

In one or more embodiments, a vehicle preventive maintenance service providing apparatus may include a vehicle information generation unit configured to generate vehicle information including vehicle diagnosis information that is diagnosed in real time while driving a vehicle and vehicle state information indicating a current state of the vehicle, based on the vehicle information. A vehicle failure prediction unit for generating a vehicle parts state composed of preventive maintenance urgency and vehicle parts to predict occurrence of a failure of the vehicle, and a price or distance based vehicle based on the preventive maintenance urgency in the at least one vehicle part state. A vehicle repair shop recommending unit recommending a repair shop and a preventive maintenance service compensation unit for providing a preventive maintenance service compensation by detecting whether or not performing maintenance service on the state of the corresponding vehicle parts according to the preventive maintenance urgency.

The vehicle information generation unit may generate the vehicle diagnostic information by diagnosing the vehicle component based on the complex vibration signal received from the vehicle vibration sensor, and bring the vehicle state received from the vehicle ECU (Electronic Control Unit) into the vehicle state information. have.

The vehicle information generator may diagnose one of the vehicle parts by specifying one of at least one associated vehicle part associated with the vehicle vibration sensor based on a frequency band of the complex vibration signal. The vehicle failure occurrence prediction unit may preferentially detect an abnormality of the vehicle component in the vehicle state information. The vehicle failure occurrence predicting unit may determine the maintenance urgency by estimating the state of the vehicle component from the vehicle diagnosis information when an abnormality of the vehicle component is not detected.

The vehicle failure occurrence prediction unit may determine the aging degree of the vehicle part according to the state of the vehicle part, and determine the preventive maintenance urgency based on the aging degree relative to the life cycle of the vehicle part. The vehicle failure occurrence predicting unit may determine the maintenance urgency by determining the degree of vibration abnormality of the vehicle component according to the state of the vehicle component.

Among the embodiments, the method for providing a vehicle preventive maintenance service includes generating vehicle information including vehicle diagnosis information diagnosed in real time while driving a vehicle and vehicle state information indicating a current state of the vehicle, based on the vehicle information. A vehicle failure occurrence step of predicting a failure of a vehicle by generating a vehicle parts state composed of preventive maintenance urgency and vehicle parts, and a vehicle based on price or distance based on the preventive maintenance urgency in the at least one vehicle part state. A vehicle repair shop recommending step of recommending a repair shop and a preventive maintenance service compensation step of providing a preventive maintenance service compensation by detecting whether or not performing maintenance service on the state of the corresponding vehicle parts according to the preventive maintenance urgency may be included.

The disclosed technique can have the following effects. However, since a specific embodiment does not mean to include all of the following effects or only the following effects, it should not be understood that the scope of the disclosed technology is limited by this.

An apparatus for providing a preventive maintenance service according to an embodiment of the present invention may generate a current state and vehicle state information of a vehicle and determine a vehicle part state to predict a failure of the vehicle.

The vehicle preventive maintenance service providing apparatus according to an embodiment of the present invention may recommend a vehicle repair shop based on the preventive maintenance urgency according to the state of the vehicle parts.

The vehicle preventive maintenance service providing apparatus according to an embodiment of the present invention may provide a preventive maintenance bonus based on whether or not the vehicle maintenance is performed at the vehicle repair shop based on the preventive maintenance urgency according to the state of the vehicle parts.

1 is a view showing a vehicle preventive maintenance service providing system according to an embodiment of the present invention.
FIG. 2 is a diagram illustrating a vehicle preventive maintenance service providing system of FIG. 1.
3 is a diagram illustrating an apparatus for providing a preventive maintenance service of FIG. 1.
4 is a flowchart illustrating a process for providing a preventive maintenance service performed by the system for providing a preventive maintenance service shown in FIG. 1.
FIG. 5 is a diagram illustrating a process of performing component diagnosis through a composite vibration signal in a process of predicting occurrence of a vehicle failure of FIG. 4.
FIG. 6 is a diagram illustrating a constant velocity joint composite vibration signal analysis in a process of predicting occurrence of a vehicle failure of FIG. 4.
FIG. 7 is a diagram illustrating a component diagnosis process using a wheel bearing, a brake judder, and a wheel balance combined vibration signal in a process of predicting occurrence of a vehicle failure of FIG. 4.
FIG. 8 is a diagram illustrating a severe condition in which a vehicle failure occurrence predicting unit measures an aging degree of a component in a process of predicting occurrence of a vehicle failure of FIG. 4.
FIG. 9 is a diagram illustrating an example of a harsh condition in which a vehicle failure occurrence predicting unit measures an aging degree of a part in a process of predicting occurrence of a vehicle failure of FIG. 4.
FIG. 10 is a diagram illustrating an example of manual replacement time of a large product item in order to predict an aging degree and a lifespan of a component in a vehicle failure prediction unit in the process of predicting a vehicle failure occurrence of FIG.

Description of the present invention is only an embodiment for structural or functional description, the scope of the present invention should not be construed as limited by the embodiments described in the text. That is, since the embodiments may be variously modified and may have various forms, the scope of the present invention should be understood to include equivalents capable of realizing the technical idea. In addition, the objects or effects presented in the present invention does not mean that a specific embodiment should include all or only such effects, the scope of the present invention should not be understood as being limited thereby.

On the other hand, the meaning of the terms described in the present application should be understood as follows.

Terms such as "first" and "second" are intended to distinguish one component from another component, and the scope of rights should not be limited by these terms. For example, the first component may be named a second component, and similarly, the second component may also be named a first component.

Singular expressions should be understood to include plural expressions unless the context clearly indicates otherwise, and terms such as "comprise" or "have" refer to a feature, number, step, operation, component, part, or feature thereof. It is to be understood that the combination is intended to be present and does not exclude in advance the possibility of the presence or addition of one or more other features or numbers, steps, operations, components, parts or combinations thereof.

As used herein, "vehicle", "vehicular" or other similar terminology refers to automobiles, passenger automobiles, buses, generally including sport utility vehicles (SUVs). , Trucks, various commercial vehicles, ships including various boats and ships, airplanes, and the like, and hybrid vehicles, electric vehicles, hybrid electric vehicles, hydrogen powered vehicles and other alternative fuels (eg, petroleum). Fuels derived from non-resource resources). As mentioned herein, an electric vehicle (EV), as part of its locomotion capabilities, is a rechargeable energy storage device (eg, one or more rechargeable electrochemical cells or other types of batteries). It is a vehicle containing the electric power obtained from. EV is not limited to automobiles and may include motorcycles, carts, scooters, and the like. In addition, a hybrid vehicle is a vehicle having two or more power sources, for example gasoline based power and electric based power (eg, hybrid electric vehicle (HEV)).

All terms used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. Generally, the terms defined in the dictionary used are to be interpreted to coincide with the meanings in the context of the related art, and should not be interpreted as having ideal or excessively formal meanings unless clearly defined in the present application.

1 is a view showing a vehicle preventive maintenance service providing system according to an embodiment of the present invention.

Referring to FIG. 1, the vehicle preventive maintenance service providing system 100 may include a user vehicle 110, a user terminal 120, a vehicle preventive maintenance service providing apparatus 130, and a vehicle information database 140.

The user terminal 120 corresponds to a computing device that can receive and use the vehicle preventive maintenance service provided by the vehicle preventive maintenance service providing apparatus 130, and may be implemented as a smartphone, a notebook computer, or a computer. Instead, it may be implemented in various devices such as a tablet PC. The user vehicle 110 may be connected to the vehicle preventive maintenance service providing apparatus 130 through a network, and the plurality of user vehicles 110 may be simultaneously connected with the user terminal 120.

The vehicle preventive maintenance service providing apparatus 130 may be implemented as a server corresponding to a computer or a program capable of providing a vehicle preventive maintenance service for a vehicle in which the user vehicle 110 selects the vehicle preventive maintenance service. The user terminal 120 may be wirelessly connected to the user vehicle 110 through Bluetooth, WiFi, or the like, and may exchange data with the user vehicle 110 through a network.

The vehicle preventive maintenance service providing apparatus 130 may be implemented including the vehicle information database 140 and may be implemented independently of the vehicle information database 140. When implemented independently of the vehicle information database 140, the vehicle preventive maintenance service providing apparatus 130 may exchange data with the vehicle information database 140 by wire or wirelessly.

The vehicle information database 140 may store various pieces of information necessary for providing a vehicle maintenance service. For example, the vehicle information database 140 may include normal vehicle diagnostic information according to the type of vehicle, normal complex vibration signal according to the type of vehicle, vehicle diagnostic information received from the user vehicle 110, and information about vehicle status information. The information stored in various forms may be stored in connection with the provision of the vehicle preventive maintenance service.

FIG. 2 is a diagram illustrating a vehicle preventive maintenance service providing system of FIG. 1.

Referring to FIG. 2, the user vehicle 110 includes a vibration signal detected by the engine vibration detector 210, the knuckle vibration detector 220, and the vehicle body vibration detector 230.

In one embodiment, the composite vibration signal may include vibration detection signals of the engine vibration detector 210, the knuckle vibration detector 220, and the vehicle body vibration detector 230. The engine vibration detector 210 may be attached to the engine of the user vehicle 110 and may detect vibrations of the vehicle engine and the engine timing belt and transmit a vibration detection signal to the vehicle preventive maintenance service providing apparatus 130.

The knuckle vibration detector 220 may be mounted to a plurality of steering knuckles of the user vehicle 110. Knuckle vibration detector 220 may include a multi-axis wheel acceleration sensor. The knuckle vibration detector 220 may detect wheel vibration and transmit a vibration detection signal to the vehicle preventive maintenance service providing apparatus 130.

The body vibration detector 230 may be attached to the vehicle body of the user vehicle 110 in one or more pieces. The body vibration detector 230 may include a multi-axis body acceleration sensor, a multi-axis rotation angle sensor, a multi-axis tilt sensor and a GPS sensor. The body vibration detector 230 may detect a vibration of the vehicle body and transmit a vibration signal to the vehicle preventive maintenance service providing apparatus 130.

3 is a diagram illustrating an apparatus for providing a preventive maintenance service of FIG. 1.

3, the vehicle preventive maintenance service providing apparatus 130 includes a vehicle information generation unit 310, a vehicle failure occurrence prediction unit 320, a vehicle repair shop recommendation unit 330, and a preventive maintenance service compensation unit 340. Include.

The vehicle information generator 310 integrates the engine vibration signal, the knuckle vibration signal, and the vehicle body vibration signal received from the user vehicle 110 into a complex vibration signal, and integrates the vehicle information provided by the ECU (Electronic Control Unit, 240) OBD II. Vehicle diagnostic information is generated using the vehicle information collected through the connector. The vehicle diagnostic information includes diagnostic information about each part of the vehicle. The vehicle information generation unit 310 may collect vehicle information provided by the vehicle ECU through the OBD II connector and generate vehicle state information necessary for the vehicle preventive maintenance service.

In one embodiment, the vehicle failure prediction unit 320 may receive vehicle diagnostic information and vehicle status information. The vehicle failure prediction unit 320 generates the vehicle parts state of the user vehicle 110 by integrating the vehicle diagnosis information and the vehicle state information, and then analyzes the abnormal degree of vibration of the individual parts to determine abnormality, determine the aging degree, and prevent it. You can determine maintenance urgency.

The vehicle failure occurrence prediction unit 320 uses the normal composite vibration signal diagnosis information to determine the composite vibration signal diagnosis information of the user vehicle 110 currently running and the normal diagnosis information of the vehicle information database 410 based on the frequency band. Comparing part diagnosis algorithm and aging degree prediction algorithm for predicting aging degree of parts.

In an embodiment, the vehicle failure occurrence predicting unit 320 may specify a part corresponding to a frequency range in which an abnormal diagnosis result according to the vehicle part state is generated. The vehicle failure prediction unit 320 may determine the preventive maintenance urgency according to the degree of abnormality for the specified component that the abnormal diagnosis results.

In one embodiment, the aging prediction algorithm may integrate the vehicle diagnosis information and the vehicle status information to calculate the driving severity of the user vehicle 110 by analyzing the driving distance and the driving environment and generate the severe driving pattern. The aging prediction algorithm predicts the aging degree based on the severity accumulated in the severity driving pattern to generate the vehicle parts state, and then determines the aging degree against the life cycle of the product and consumables to predict the remaining life.

Vehicle failure prediction unit 320 may determine the urgency of preventive maintenance, which means the need for replacement and maintenance by analyzing the aging and life results of specific parts and consumables according to the state of the vehicle parts.

The vehicle repair shop recommending unit 330 receives the preventive maintenance urgency of the parts according to the vehicle failure occurrence predicting unit 320. The vehicle body shop recommending unit 330 includes a body shop recommending function for recommending a body shop to the user through the user vehicle 110 and the user terminal 120 when there is a specific component requiring maintenance according to the preventive maintenance urgency.

The workshop recommendation function is based on the location of the user's vehicle 110 through the GPS device, the location of the registration shop, the possibility of maintenance of specific parts of the registration shop, the expertise of maintenance of the specific parts of the registration shop, the maintenance fare of the registration shop and the registration shop according to the preventive maintenance urgency. It is possible to recommend the repair shop to the user by integrating the evaluation contents.

The vehicle preventive maintenance service provider receives the preventive maintenance urgency of a specific part according to the vehicle failure occurrence prediction unit 320. The vehicle preventive maintenance service provider detects whether to perform a maintenance service on a specific part according to the preventive maintenance urgency and provides a service compensation to the user through the user vehicle 110 and the user terminal 120.

In one embodiment, the preventive maintenance service compensation unit 340 is a service insurance compensation by increasing the durability of the vehicle through the maintenance of the specific parts according to the preventive maintenance urgency, securing the driving stability and reducing the risk of accidents through preventive maintenance, The insurance payment discount service of the user can be provided.

In one embodiment, the vehicle preventive maintenance service providing apparatus 330 includes vehicle diagnosis information, vehicle state information, vehicle part state, severe driving driving pattern, diagnosis result of the part, aging degree of the part, preventive maintenance urgency of the part, vehicle Information about the failure occurrence prediction, the repair shop recommendation and the service provision may be provided through the user vehicle 110 and the user terminal 120.

4 is a flowchart illustrating a process for providing a preventive maintenance service performed by the system for providing a preventive maintenance service shown in FIG. 1.

Referring to FIG. 4, the vehicle information generation unit 310 integrates vibration information that appears during vehicle driving through the engine vibration detector 210, the knuckle vibration detector 220, and the body vibration detector 230 of the user vehicle 110. Vehicle complex information may be generated by receiving the complex vibration information, and vehicle state information may be generated by receiving vehicle information provided by the ECU 240 of the user vehicle 110 through the OBD II connector.

The vehicle failure prediction unit 320 may generate a vehicle parts state each consisting of preventive maintenance urgency and vehicle parts through the vehicle diagnosis information based on the vehicle information through a parts diagnosis algorithm and an aging degree prediction algorithm. The vehicle failure prediction unit 320 detects a failure of a part using a vehicle part state, determines a part aging degree, and determines urgent maintenance, and provides a service for predicting a failure of a vehicle to a user through the user vehicle 110 and the user terminal 120. Can be provided.

The vehicle body shop recommending unit 330 is based on the preventive maintenance urgency in the state of at least one vehicle part according to the preventive maintenance urgency, the position of the vehicle through the GPS device, the location of the registered body shop, maintenance expertise of specific parts of the registered body shop and The vehicle body shop recommendation service may be provided to the user through the user vehicle 110 and the user terminal 120 based on data including the maintenance fare of the registered body shop.

The preventive maintenance service compensation unit 340 may detect whether the maintenance service related to the state of the vehicle parts according to the preventive maintenance urgency is performed. Preventive maintenance service compensation unit 340 is a service compensation by increasing the durability of the vehicle through the maintenance of specific parts according to the preventive maintenance urgency, securing driving stability and reducing the risk of accidents through preventive maintenance, the insurance payment of the user using the insurance company rider The discount service may be provided to the user through the user vehicle 110 and the user terminal 120.

In one embodiment, the vehicle preventive maintenance service providing apparatus 330 includes vehicle diagnosis information, vehicle state information, vehicle part state, severe driving driving pattern, diagnosis result of the part, aging degree of the part, preventive maintenance urgency of the part, vehicle Information on the failure prediction, repair shop recommendation, and service provision may be provided to the user through the user vehicle 110 and the user terminal 120.

FIG. 5 is a diagram illustrating a process of performing component diagnosis through a composite vibration signal in a process of predicting occurrence of a vehicle failure of FIG. 4.

The vehicle failure prediction unit 320 may perform component diagnosis through a component diagnosis algorithm, and the component diagnosis algorithm may include a first step for low frequency analysis and a second step for high frequency analysis to determine the degree of vibration abnormality. Specific component diagnostic logic can be included.

The specific part diagnosis logic converts the complex vibration signal including the acceleration signal and vibration signal of the vibration detectors into a frequency response function using a fast Fourier transform (FFT) to analyze the unique system of the part by mathematical method and the vehicle information. It may include a diagnostic process to determine whether the normal compared to the normal diagnostic information of the database 410.

Finally, the parts diagnosis algorithm diagnoses the abnormality of the parts based on the complex vibration signal diagnosis information of the user vehicle 110 currently being driven and the frequency band of the frequency response function by using the normal compound vibration signal unique system. You can foresee.

6 is a diagram illustrating an analysis of a constant velocity joint complex vibration signal in a process of predicting occurrence of a vehicle failure of FIG. 4, and FIG. 7 is a diagram of a wheel bearing, brake judder and wheel balance combined vibration signal in a process of predicting a vehicle failure of FIG. 4. A diagram illustrating a part diagnosis performing process using a.

In FIG. 6, the vehicle failure occurrence predicting unit 320 analyzes the composite vibration signal by using a component diagnosis algorithm to identify vibration generated by the brake judder in the user vehicle 110. The vibration caused by the brake judder may have an abnormal frequency region indicating an abnormal vibration in the 18 to 24 Hz region.

In FIG. 7, the vehicle failure occurrence predicting unit 320 performs a comparison diagnosis logic with the normal information of the vehicle information database 410 based on a frequency band in the complex vibration signal diagnosis information using a component diagnosis algorithm. The vehicle failure prediction unit 320 may generate a vehicle part state by identifying a part corresponding to a frequency domain in which a diagnosis logic is performed and an abnormal diagnosis result is generated.

In one embodiment, the parts diagnosis algorithm includes a vehicle vibration information when the abnormal diagnosis results from the vehicle diagnosis information including a complex vibration signal in which vibration signals related to various parts such as wheel bearings, brake judder and wheel balance are integrated. It may include a diagnostic logic that distinguishes and specifies corresponding parts by angular acceleration, driving state of the vehicle, driving environment of the vehicle, driving slope of the vehicle, and frequency domain.

The parts diagnosis algorithm analyzes a complex vibration signal including at least one symptom of tire pressure, wheel balance, wheel alignment, wheel bearing flaking, constant velocity joint flaking, damper leak, ball joint overcap, and brake judder. After the vehicle parts state is generated, the abnormality of the parts may be diagnosed and the abnormal parts may be identified and distinguished.

In one embodiment, the vehicle failure occurrence prediction unit 320 may predict the occurrence of a failure for a specific part that the abnormal diagnosis results through the vehicle parts state, it may determine the preventive maintenance urgency according to the abnormality. The vehicle failure prediction unit 320 may generate a preventive maintenance emergency and provide a vehicle failure prediction through the user vehicle 110 and the user terminal 120.

FIG. 8 is a diagram illustrating a severe condition in which a vehicle failure occurrence predicting unit measures an aging degree of a component in a process of predicting occurrence of a vehicle failure of FIG. 4.

Referring to FIG. 8, the vehicle failure occurrence predicting unit 320 analyzes the severe condition analyzed in the vehicle diagnosis information and the vehicle state information, the analysis sensor type, the specific gravity, the driving distance, the driving time, and the contribution degree through the aging prediction algorithm. The severity of 110 may be determined and the aging degree of the vehicle parts may be predicted based on the severity. The aging prediction algorithm includes the following equation.

[Equation 1]

M corresponds to the mileage of the vehicle. M _j corresponds to the mileage traveled by the vehicle during j severe conditions under J different kinds of severe conditions. M _ji corresponds to the i-th distance traveled by the vehicle among the driving sections in which M _j is divided into I sections under j severe conditions.

[Equation 2]

S corresponds to the severity of the vehicle. S _j corresponds to the severity of the vehicle when the vehicle is driven under j severe conditions among the J kinds of severe conditions. M _ji corresponds to the i-th distance traveled by the vehicle among the driving sections in which M _j is divided into I sections under j severe conditions. W _ji corresponds to the specific gravity constant of the i th driving section among the driving sections divided into I sections under j severe conditions. C _ji corresponds to the contribution of the i th driving section among the driving sections divided into I sections in the j severe condition.

Therefore, the overall severity S _T of the vehicle can be expressed as the sum of S _j .

[Equation 3]

_T S is the sum of S _j to j beonjae harsh conditions in J heavy conditions, corresponds to the total severity.

In one embodiment, the vehicle failure prediction unit 320 by using the aging degree prediction algorithm, by utilizing the severe condition, analysis sensor type, specific gravity, mileage, travel time and contribution degree analyzed in the vehicle diagnostic information and vehicle status information The severity of the vehicle can be calculated. The vehicle failure prediction unit 320 may generate a severe driving pattern of the vehicle using the calculated severity.

FIG. 9 is a diagram illustrating an example of a severe condition in which a vehicle failure occurrence predicting unit for predicting a vehicle failure occurrence of FIG. 4 measures an aging degree of a part.

In FIG. 9, the vehicle failure prediction unit 320 may calculate the severity of the user vehicle 110 by determining the specific gravity and contribution conditions for each of the J severe conditions through an aging degree prediction algorithm, and the severity caused by the severe driving pattern. The aging degree of the vehicle parts can be predicted based on the accumulated amount.

In one embodiment, the vehicle failure occurrence prediction unit 320 may determine the specific gravity and contribution conditions for each severe condition according to the aging degree prediction algorithm according to FIG. 9. "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 vehicle failure prediction unit 320 may calculate the severity of the vehicle by determining the specific gravity and the contribution conditions for each of the J severe conditions, and calculate and generate the vehicle parts state of the user vehicle 110 based on the accumulated severity. Can be. The vehicle failure prediction unit 320 may provide the vehicle parts state and the severe driving pattern using the aging prediction algorithm to the user through the user vehicle 110 and the user terminal 120.

FIG. 10 is a diagram illustrating an example of manual replacement time of a large product item in order to predict an aging degree and a lifespan of a component in a vehicle failure prediction unit in the process of predicting a vehicle failure occurrence of FIG. 4.

In FIG. 10, the vehicle failure occurrence prediction unit 320 estimates the aging degree of the vehicle parts and the consumables based on the accumulated severity calculated by the aging degree prediction algorithm, and then compares the life of the vehicle parts of the vehicle information database 140. Generates vehicle parts status by comparing replacement cycle and consumable replacement data.

In one embodiment, M _S and T _S are the mileage and travel time of the vehicle under severe conditions, and M _N and T _N are the mileage and travel time of the vehicle under normal conditions. The vehicle failure prediction unit 320 may determine the aging degree of the part through the vehicle parts state and generate the preventive maintenance urgency to predict the occurrence of the vehicle failure. Vehicle parts condition includes engine oil and oil filter, air cleaner filter, spark plug, brake disc, brake pad, lower arm ball joint cleaning, drive shaft and boot, air filter for air conditioner, rear differential oil, transfer case and automatic transmission oil It may include parts status of the same parts and consumables.

In one embodiment, the vehicle failure prediction unit 320 determines the degree of aging of parts and consumables through the state of the vehicle parts, and generates a preventive maintenance urgency including replacement necessary consumables and maintenance necessary parts to the user vehicle 110 and Through the user terminal 120 may provide a vehicle failure prediction.

As a result, the vehicle preventive maintenance service providing system 330 receives the complex vibration signal and the ECU 240 information from the user vehicle 110. The vehicle information generation unit 310 generates vehicle state information and vehicle diagnosis information by using the received composite vibration signal and the ECU 240 information. The failure occurrence prediction unit 320 generates a vehicle vehicle part state through the generated vehicle state information and vehicle diagnosis information, and determines the vehicle part state to predict the occurrence of a vehicle failure on the basis of preventive maintenance urgency. The vehicle repair shop recommending unit 330 provides a service for recommending the vehicle repair shop to the user through the prediction of the occurrence of a vehicle failure based on the preventive maintenance urgency. The preventive maintenance service compensation unit 340 may provide a compensation service to the user who performed the preventive maintenance. The vehicle preventive maintenance service providing system 330 may provide various types of information through the user vehicle 110 and the user terminal 120.

Although described above with reference to a preferred embodiment of the present invention, those skilled in the art will be variously modified and changed within the scope of the invention without departing from the spirit and scope of the invention described in the claims below I can understand that you can.

100: vehicle preventive maintenance service providing system
110: user vehicle 120: user terminal
130: vehicle preventive maintenance service providing device
140: vehicle information database
210: engine vibration sensor 220: knuckle vibration sensor
230: vibration vibration sensor 240: ECU
310: vehicle information generation unit 320: vehicle failure occurrence prediction unit
330: vehicle body shop recommendation section 340: preventive stop service compensation section

Claims (8)

A vehicle information generation unit configured to generate vehicle information including vehicle diagnosis information which is diagnosed in real time while driving the vehicle and vehicle state information indicating a current state of the vehicle;
A vehicle failure prediction unit for generating a vehicle parts state each consisting of preventive maintenance urgency and vehicle parts based on the vehicle information to predict occurrence of a vehicle failure;
A vehicle body shop recommending unit for recommending a price or distance based vehicle body shop based on the preventive maintenance urgency in the at least one vehicle component state; And
Preventive maintenance service providing apparatus comprising a preventive maintenance service compensation unit for providing a preventive maintenance service compensation by detecting whether the maintenance service for the state of the vehicle parts according to the preventive maintenance urgency.
The method of claim 1, wherein the vehicle information generating unit
A vehicle comprising diagnosing the vehicle part based on a complex vibration signal received from a vehicle vibration sensor to generate the vehicle diagnostic information, and bringing the vehicle state received from the vehicle ECU to the vehicle state information; Preventive maintenance service provision device.
The method of claim 2, wherein the vehicle information generating unit
And one of at least one associated vehicle component associated with the vehicle vibration sensor based on the frequency band of the combined vibration signal to diagnose the vehicle component.
According to claim 1, wherein the vehicle failure occurrence prediction unit
And detecting an abnormality of the vehicle component in the vehicle state information.
According to claim 4, wherein the vehicle failure occurrence prediction unit
And if the abnormality of the vehicle component is not detected, estimating the state of the vehicle component from the vehicle diagnosis information to determine the preventive maintenance urgency.
According to claim 5, The vehicle failure occurrence prediction unit
And determining the aging degree of the vehicle part according to the state of the vehicle part, and determining the preventive maintenance urgency based on the aging degree compared to the life cycle of the vehicle part.
According to claim 5, The vehicle failure occurrence prediction unit
Device for preventing preventive maintenance services, characterized in that for determining the degree of vibration abnormality of the vehicle parts in accordance with the state of the vehicle parts determine the preventive maintenance urgency.
A vehicle information generating step of generating vehicle information including vehicle diagnosis information which is diagnosed in real time during vehicle driving and vehicle state information indicating a current state of the vehicle;
A vehicle failure occurrence predicting step of predicting occurrence of a failure of a vehicle by generating a vehicle parts state composed of preventive maintenance urgency and vehicle parts based on the vehicle information;
A vehicle body shop recommending step of recommending a price or distance based vehicle body shop based on the preventive maintenance urgency in the at least one vehicle component state; And
And a preventive maintenance service compensation step of providing a preventive maintenance service compensation by detecting whether or not to perform a maintenance service related to the state of the corresponding vehicle parts according to the preventive maintenance urgency.

Images