CN115390549B - Analysis system for vehicle fault diagnosis based on driving habits - Google Patents
Analysis system for vehicle fault diagnosis based on driving habits Download PDFInfo
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- CN115390549B CN115390549B CN202211315017.7A CN202211315017A CN115390549B CN 115390549 B CN115390549 B CN 115390549B CN 202211315017 A CN202211315017 A CN 202211315017A CN 115390549 B CN115390549 B CN 115390549B
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- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
- G05B23/0267—Fault communication, e.g. human machine interface [HMI]
- G05B23/027—Alarm generation, e.g. communication protocol; Forms of alarm
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Abstract
The present invention relates to an analysis system, and more particularly, to an analysis system for diagnosing a vehicle fault based on driving habits. It includes data acquisition module, fault handling module, high in the clouds database and vehicle trouble module in coordination, wherein: the data acquisition module is used for acquiring vehicle state information and behavior information of a driver, and the fault processing module judges whether the vehicle has a fault according to the vehicle state information and establishes connection with customer service staff when the vehicle has the fault; in the analysis system for vehicle fault diagnosis based on driving habits, namely, when a vehicle has a fault, the behavior information of a driver is sent to the cloud end to match a priority contact person while contacting customer service personnel, the priority contact person is communicated with the customer service personnel and the driver at the same time, and the driver is assisted by the solution experience of the same problem of the priority contact person, so that the problem solving efficiency is improved.
Description
Technical Field
The present invention relates to an analysis system, and more particularly, to an analysis system for diagnosing a vehicle fault based on driving habits.
Background
The driving habit is the important factor that influences vehicle driving safety, and the quick damage of vehicle can be accelerated to bad driving habit, and when new hand driver's car damaged on the road, because new hand driver does not know the car enough, problem that he also can not timely solution of simple. Therefore, the customer service needs to be contacted, but the customer service cannot communicate with the novice driver face to face, and the novice driver may not clearly describe the problem, so that the customer service cannot solve the problem in time and other vehicles on the road of the vehicle are affected.
Disclosure of Invention
The present invention is directed to an analysis system for vehicle fault diagnosis based on driving habits, so as to solve the problems of the background art.
For realizing above-mentioned purpose, provide the analytic system based on driving habit carries out vehicle failure diagnosis, including data acquisition module, fault handling module, high in the clouds database and vehicle trouble module in coordination, wherein:
the data acquisition module is used for acquiring vehicle state information and behavior information of a driver, and the fault processing module judges whether the vehicle has a fault according to the vehicle state information and establishes connection with customer service staff when the vehicle has the fault;
the cloud database is used for storing historical fault information of similar vehicles to obtain a contact file, and when the vehicles have faults, the cloud database compares similar information in the contact file according to behavior information of drivers to obtain a priority contact;
the vehicle fault coordination module establishes connection between the priority contact person and the customer service person, so that the priority contact person provides a reference solution for the driver and the customer service person.
As a further improvement of the technical scheme, the data acquisition module comprises an image acquisition unit, a data acquisition unit and a driving behavior recording unit;
the image acquisition unit acquires appearance information of the vehicle;
the data acquisition unit monitors the state of each component in the vehicle to obtain vehicle state information;
the driving behavior recording unit records the action of the driver and generates behavior information.
As a further improvement of the technical scheme, the fault processing module comprises a fault information positioning unit, a customer service access unit and a fault help unit, wherein the fault information positioning unit judges the fault position of the vehicle according to the vehicle state information and obtains a fault point; the customer service access unit establishes connection between a driver and customer service personnel according to the fault point, and the fault help seeking unit sends help seeking information to the cloud database while establishing connection between the driver and the customer service personnel.
As a further improvement of the technical scheme, the help seeking information is behavior information of the driver.
As a further improvement of the technical scheme, the cloud database comprises a fault information storage unit, and the fault information storage unit is used for storing historical fault information of similar vehicles to obtain a fault file and contact information of the fault file;
the output end of the fault information storage unit is connected with a driving behavior matching unit, the input end of the driving behavior matching unit is connected with the output end of the fault help seeking unit, and the driving behavior matching unit searches files in the fault file according to the help seeking information to obtain similar files;
the output end of the driving behavior matching unit is connected with a data retrieval unit, and the data retrieval unit retrieves contact information according to the similar files to obtain a priority contact.
As a further improvement of the technical solution, the vehicle failure coordination module includes a data connection unit, and the data connection unit is configured to establish connection between the priority contact and the customer service staff.
As a further improvement of the technical solution, the driving behavior matching unit adopts a similarity matching algorithm, and an algorithm formula thereof is as follows:
in the formula (I), the compound is shown in the specification,
behavior information for the driver;
the fault files in the cloud data are obtained;
the similarity rate of the behavior information of the driver and the fault file in the cloud data is set;
the quantity of all elements of the fault files in the behavior information and cloud data of the driver is set;
the behavior information of the driver is the same as the number of elements of the fault file in the cloud data.
As a further improvement of the technical solution, the vehicle failure coordination module further includes a vehicle state identification unit, the vehicle state identification unit is configured to identify a driving state of the vehicle and obtain driving information, an output end of the vehicle state identification unit is connected to an input end of the data connection unit, and the data connection unit connects the priority contact according to the driving information.
As a further improvement of the technical solution, the vehicle failure coordination module further comprises a vehicle positioning unit and a vehicle information identification unit, wherein the vehicle positioning unit is used for positioning a vehicle of a priority contact person to obtain a nearest vehicle; the vehicle information identification unit matches the nearest vehicle, the output end of the vehicle information identification unit is connected with the input end of the data connection unit, and the data connection unit sends the fault point and the behavior information to the nearest vehicle.
As a further improvement of the technical scheme, the file for sending the behavior information to the nearest vehicle by the data connection unit is a local video file.
Compared with the prior art, the invention has the beneficial effects that:
1. in the analysis system for vehicle fault diagnosis based on driving habits, namely, when a vehicle has a fault, the behavior information of a driver is sent to the cloud end to match a priority contact person while contacting customer service personnel, the priority contact person is communicated with the customer service personnel and the driver at the same time, and the driver is assisted by the solution experience of the same problem of the priority contact person, so that the problem solving efficiency is improved.
2. In the analysis system for vehicle fault diagnosis based on driving habits, namely, the vehicle with an accident and the nearest vehicle close to the vehicle with the accident are connected through the vehicle information identification unit, and the behavior information of the vehicle with the accident is sent to the nearest vehicle, so that the nearest vehicle pays attention to the driving habits of the nearest vehicle, the driving habits are changed when the vehicle is driven to the front, the probability of the fault is reduced, and meanwhile, the bad driving habits are gradually corrected.
Drawings
FIG. 1 is an overall block diagram of the present invention;
FIG. 2 is a block diagram of a data acquisition module of the present invention;
FIG. 3 is a block diagram of a fault handling module of the present invention;
FIG. 4 is a block diagram of a cloud database according to the present invention;
FIG. 5 is a block diagram of a vehicle fault coordination module of the present invention.
The various reference numbers in the figures mean:
100. a data acquisition module; 110. an image acquisition unit; 120. a data acquisition unit; 130. a driving behavior recording unit;
200. a fault handling module; 210. a fault information positioning unit; 220. a customer service access unit; 230. a fault help-seeking unit;
300. a cloud database; 310. a failure information storage unit; 320. a driving behavior matching unit; 330. a data retrieval unit;
400. a vehicle fault coordination module; 410. a vehicle positioning unit; 420. a data connection unit; 430. a vehicle information identification unit; 440. a vehicle state recognition unit.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", and the like, indicate orientations and positional relationships based on those shown in the drawings, and are used only for convenience of description and simplicity of description, and do not indicate or imply that the equipment or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be considered as limiting the present invention.
In addition, in the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
A first embodiment, please refer to fig. 1 to 5, which provide an analysis system for vehicle fault diagnosis based on driving habits, comprising a data acquisition module 100, a fault processing module 200, a cloud database 300 and a vehicle fault coordination module 400, wherein:
the data acquisition module 100 is used for acquiring vehicle state information and behavior information of a driver, and the fault processing module 200 judges whether the vehicle has a fault according to the vehicle state information and establishes connection with a customer service staff when the vehicle has the fault;
the cloud database 300 is used for storing historical fault information of similar vehicles to obtain a contact file, and when a vehicle has a fault, the cloud database 300 compares similar information in the contact file according to behavior information of a driver to obtain a priority contact;
the vehicle fault coordination module 400 establishes a connection between the priority contact and the customer service person, so that the priority contact provides a reference solution for the driver and the customer service.
In addition, the data acquisition module 100 includes an image acquisition unit 110, a data acquisition unit 120, and a driving behavior recording unit 130,
the image acquisition unit 110 acquires appearance information of the vehicle;
the data acquisition unit 120 monitors the states of various components (such as longitude and latitude, GPS, engine, vehicle speed, transmission, power steering, safety control, and the like) in the vehicle to obtain vehicle state information;
the driving behavior recording unit 130 records the driver's actions (e.g., the strength of stepping on the accelerator, the timing of engaging a gear, adjusting the light, touching the driving computer, etc.), and generates behavior information.
Further, the fault processing module 200 includes a fault information positioning unit 210, a customer service access unit 220, and a fault help unit 230, where the fault information positioning unit 210 determines a fault location of the vehicle according to the vehicle state information, and obtains a fault point; the customer service access unit 220 establishes connection between the driver and the customer service staff according to the fault point, and the fault help-seeking unit 230 sends help-seeking information to the cloud database 300 while establishing connection between the driver and the customer service staff.
That is, when the driver does not know what causes the vehicle to malfunction, the problem may not be solved quickly by simply contacting the driver with the customer service staff, and thus the driver who has caused the similar problem needs to be helped to solve the problem quickly.
The help information is behavior information of the driver.
Specifically, the cloud database 300 includes a fault information storage unit 310, and the fault information storage unit 310 is configured to store historical fault information of similar vehicles to obtain a fault file and contact information of the fault file;
the output end of the fault information storage unit 310 is connected with a driving behavior matching unit 320, the input end of the driving behavior matching unit 320 is connected with the output end of the fault help-seeking unit 230, and the driving behavior matching unit 320 searches files in the fault file according to help-seeking information to obtain similar files;
the output end of the driving behavior matching unit 320 is connected with a data retrieval unit 330, and the data retrieval unit 330 retrieves the contact information according to the similar files to obtain the priority contact.
In addition, the vehicle breakdown coordination module 400 includes a data connection unit 420, and the data connection unit 420 is used for establishing connection between the priority contact and the customer service person.
When the vehicle fault diagnosis system is used, the image acquisition unit 110 and the data acquisition unit 120 are used for monitoring the state of the vehicle in an all-around mode, for example, the image acquisition unit 110 is used for acquiring information around the vehicle and analyzing scratch and collision passing images of the vehicle, the data acquisition unit 120 is used for monitoring data of longitude and latitude, a GPS, an engine, a vehicle speed, a gearbox, power steering, safety control and the like of the vehicle, then the driving behavior recording unit 130 is used for recording operation information of a driver, when the vehicle has a fault, the customer service personnel is in contact with the driver through the customer service access unit 220, meanwhile, the fault help seeking unit 230 is used for sending fault information of the vehicle and driving information of the driver to the cloud database 300, the driving behavior matching unit 320 is used for matching out a priority contact person, then the customer service personnel is in contact with the priority contact person through the vehicle fault coordination module 400, and the customer service personnel is assisted to answer the problem according to experience that the prior accident occurs to the priority contact person, and therefore the speed of solving the problem of the driver is improved.
That is to say, when the vehicle breaks down, the behavior information of the driver is sent to the cloud end to be matched with the priority contact person while contacting the customer service person, the priority contact person is communicated with the customer service person and the driver at the same time, the driver is assisted by the solution experience of the same problem of the priority contact person, and therefore the problem solving efficiency is improved.
Further, the driving behavior matching unit 320 adopts a similarity matching algorithm, and the algorithm formula is as follows:
in the formula (I), the compound is shown in the specification,
behavior information for the driver;
the fault files in the cloud data are obtained;
similarity rate of behavior information of the driver and fault files in the cloud data is obtained;
the quantity of all elements of the fault files in the behavior information and cloud data of the driver is set;
the number of elements of behavior information of the driver is the same as that of the fault file in the cloud data.
Still further, the vehicle fault coordination module 400 further includes a vehicle state identification unit 440, the vehicle state identification unit 440 is configured to identify a driving state of the vehicle and obtain driving information, an output end of the vehicle state identification unit 440 is connected to an input end of the data connection unit 420, the data connection unit 420 connects the priority contact according to the driving information, that is, during the driving process of the vehicle of the priority contact, if the priority contact is made to assist in answering, the driving risk of the priority contact is increased, so that the priority contact is identified by the vehicle state identification unit 440, and when the priority contact is driving the vehicle, the priority contact is not selected.
In the second embodiment, it is considered that if a trouble occurs at the place due to the driving habits of the driver, if other drivers around the place are similar to the driving habits of the driver, the driver is likely to have a trouble when driving to the place, and for this reason,
the vehicle fault coordination module 400 further includes a vehicle positioning unit 410 and a vehicle information identification unit 430, where the vehicle positioning unit 410 is configured to position the vehicle of the priority contact person to obtain the nearest vehicle; the vehicle information identification unit 430 matches the nearest vehicle, the output end of the vehicle information identification unit 430 is connected with the input end of the data connection unit 420, and the data connection unit 420 sends the fault point and the behavior information to the nearest vehicle so as to remind the driver of the nearest vehicle of the driving habits and the road ahead.
For example, when the vehicle of the driver a is damaged on the road, the driving behavior recording unit 130 records the behavior information, then acquires the vehicle of the priority contact (the driver b) through the vehicle positioning unit 410, matches the vehicle with the acquired vehicle through the vehicle information recognition unit 430, and sends the failure point and the behavior information to the vehicle of the priority contact (the driver b) through the data connection unit 420 after matching, so that the priority contact (the driver b) changes its driving habit on the road ahead through the habit and the failure point of the driver a because the driving habit of the priority contact (the driver b) is similar to the driving of the driver a, and then the same failure may occur on the same road under the similar driving habit, thereby reducing the probability of failure.
That is, the vehicle information recognition unit 430 connects the vehicle in which the accident occurs and the nearest vehicle close to the vehicle in which the accident occurs, and transmits the behavior information of the vehicle in which the accident occurs to the nearest vehicle, so that the nearest vehicle pays attention to its own driving habits, thereby changing the driving habits when driving ahead, reducing the probability of the failure, and gradually correcting the bad driving habits.
In addition, the file that the data connection unit 420 sends the behavior information to the nearest vehicle is a local video file, the video file can be directly played through a driving computer, and the privacy of a driver in the video can be improved through the local video.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and the preferred embodiments of the present invention are described in the above embodiments and the description, and are not intended to limit the present invention. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (6)
1. Analysis system based on driving habit carries out vehicle failure diagnosis, its characterized in that: including data acquisition module (100), fault handling module (200), high in the clouds database (300) and vehicle trouble module (400) in coordination, wherein:
the data acquisition module (100) is used for acquiring vehicle state information and behavior information of a driver, and the fault processing module (200) judges whether the vehicle has a fault according to the vehicle state information and establishes connection with customer service staff when the vehicle has the fault;
the cloud database (300) is used for storing historical fault information of similar vehicles to obtain a contact file, and when the vehicles have faults, the cloud database (300) compares similar information in the contact file according to behavior information of drivers to obtain a priority contact;
the vehicle fault coordination module (400) establishes connection between the priority contact person and the customer service staff, so that the priority contact person provides a reference solution for the driver and the customer service;
the data acquisition module (100) comprises an image acquisition unit (110), a data acquisition unit (120) and a driving behavior recording unit (130);
the image acquisition unit (110) acquires appearance information of a vehicle;
the data acquisition unit (120) monitors the state of each component in the vehicle to obtain vehicle state information;
the driving behavior recording unit (130) records the actions of a driver and generates behavior information;
the fault processing module (200) comprises a fault information positioning unit (210), a customer service access unit (220) and a fault help unit (230), wherein the fault information positioning unit (210) judges the fault position of the vehicle according to the vehicle state information and obtains a fault point; the customer service access unit (220) establishes connection between a driver and customer service staff according to a fault point, and the fault help-seeking unit (230) sends help-seeking information to the cloud database (300) while establishing connection between the driver and the customer service staff;
the cloud database (300) comprises a fault information storage unit (310), wherein the fault information storage unit (310) is used for storing historical fault information of similar vehicles to obtain a fault file and contact information of the fault file;
the output end of the fault information storage unit (310) is connected with a driving behavior matching unit (320), the input end of the driving behavior matching unit (320) is connected with the output end of the fault help-seeking unit (230), and the driving behavior matching unit (320) searches files in a fault file according to help-seeking information to obtain similar files;
the output end of the driving behavior matching unit (320) is connected with a data retrieval unit (330), and the data retrieval unit (330) retrieves contact information according to similar files to obtain a priority contact;
the driving behavior matching unit (320) adopts a similarity matching algorithm, and the algorithm formula is as follows:
in the formula (I), the compound is shown in the specification,
behavior information for the driver;
the fault files in the cloud data are obtained;
similarity rate of behavior information of the driver and fault files in the cloud data is obtained;
the behavior information of the driver and the total element number of the fault file in the cloud data are obtained;
behavior information and cloud for driversThe number of elements in the end data that fail the file is the same.
2. The analysis system for vehicle failure diagnosis based on driving habits according to claim 1, characterized in that: the help seeking information is behavior information of a driver.
3. The analysis system for vehicle failure diagnosis based on driving habits according to claim 1, characterized in that: the vehicle fault coordination module (400) comprises a data connection unit (420), and the data connection unit (420) is used for establishing connection between the priority contact and the customer service personnel.
4. The analysis system for vehicle failure diagnosis based on driving habits according to claim 3, wherein: the vehicle fault coordination module (400) further comprises a vehicle state identification unit (440), wherein the vehicle state identification unit (440) is used for identifying the driving state of the vehicle and obtaining driving information, the output end of the vehicle state identification unit (440) is connected with the input end of the data connection unit (420), and the data connection unit (420) connects the priority contacts according to the driving information.
5. The analysis system for vehicle failure diagnosis based on driving habits according to claim 3, wherein: the vehicle fault coordination module (400) further comprises a vehicle positioning unit (410) and a vehicle information identification unit (430), wherein the vehicle positioning unit (410) is used for positioning the vehicle of the priority contact person to obtain the nearest vehicle; the vehicle information identification unit (430) matches the nearest vehicle, the output end of the vehicle information identification unit (430) is connected with the input end of the data connection unit (420), and the data connection unit (420) sends the failure point and the behavior information to the nearest vehicle.
6. The analysis system for vehicle failure diagnosis based on driving habits according to claim 5, wherein: the data connection unit (420) transmits the behavior information to the file of the nearest vehicle as a local video file.
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