CN106708017B - Vehicle fault real-time monitoring and service system and monitoring method thereof - Google Patents

Abstract

The invention discloses a vehicle fault real-time monitoring and service system, comprising a vehicle fault detection device mounted on the vehicle body; the vehicle fault detection device is used to detect real-time data or information of the vehicle; a remote data center for receiving and analyzing the data or information transmitted by the vehicle fault detection device; at least one client, connected to the remote data center; the client is used to view the data or information of the vehicle; and used to acquire and display the The analysis results and prompt information stored in the remote data center; wherein, the remote data center includes a data processing module for processing and storing the data or information transmitted by the vehicle fault detection device; a vehicle fault analysis system, according to the processing The final data or information is used to deduce the cause of the vehicle failure. The invention also discloses a monitoring method of the vehicle failure real-time monitoring and service system.

Description

A vehicle fault real-time monitoring and service system and its monitoring method

technical field

The invention relates to the fields of electronic information, vehicle management and the like, in particular to a real-time monitoring and service system for vehicle faults and a monitoring method thereof.

Background technique

With the mature development of mechatronics and electronic technology, vehicle control systems are becoming more and more complex and integrated. The complexity of vehicle control systems has led to increasing difficulty in vehicle breakdown maintenance, which has caused more and more troubles for vehicle users and maintenance organizations. On the one hand, the vehicle user does not know the real-time fault of the vehicle, and cannot maintain or repair the vehicle in time, which poses a great risk to the vehicle user. Vehicle owners take their vehicles to repair facilities only when they fail to perform as they should, often resulting in expensive repairs. There are also some users who love vehicles, they hope to be able to perform daily maintenance and care on vehicles, but they lack professional vehicle fault diagnosis equipment and cannot know the real-time faults of vehicles. On the other hand, for the unprofessional vehicle maintenance shop, which lacks advanced vehicle fault diagnosis equipment and professional maintenance personnel, it is difficult to carry out correct and effective maintenance in the face of complex vehicle faults. Therefore, it is necessary to monitor the faults of automobiles in real time.

The on-board fault diagnosis system developed today mainly communicates with the vehicle ECU through the handheld fault diagnosis instrument, reads the fault code detected by the vehicle OBD system to complete the vehicle detection, and displays the result on the screen of the diagnostic instrument. However, this diagnostic system has the following defects: (1) the real-time geographic location of the vehicle cannot be obtained, so that the management center cannot perform unified monitoring, management and rescue of the faulty vehicle; (2) the system memory of the fault diagnosis instrument is small and cannot store Historical fault diagnosis information of the vehicle; (3) Information sharing of fault data of multiple vehicles cannot be realized; (4) Lack of intelligent fault diagnosis methods, the cause of the fault can only be known by comparing the detected fault codes with the maintenance manual.

In order to meet the needs of users for real-time monitoring of vehicle faults, it is necessary to study a real-time monitoring and service system for vehicle faults to solve the problems existing in the current vehicle fault diagnosis system.

Contents of the invention

Aiming at the deficiencies of the prior art, the invention provides a real-time monitoring and service system for vehicle failures to solve the problems of difficult detection of vehicle failure causes and inconvenient maintenance services.

The technical solution to achieve the above purpose is: a vehicle failure real-time monitoring and service system, including a vehicle failure detection device, loaded on the vehicle body; the vehicle failure detection device is used to detect real-time data or information of the vehicle; a remote data The center is used to receive and analyze the data or information transmitted by the vehicle fault detection device; at least one client is connected to the remote data center; the client is used to view the data or information of the vehicle; and is used to obtain and display the analysis results and prompt information stored in the remote data center; wherein, the remote data center includes a data processing module for processing and storing the data or information transmitted by the vehicle fault detection device; a vehicle fault analysis The system is used to deduce the cause of vehicle failure based on the processed data or information.

In an embodiment of the present invention, the vehicle fault detection device includes a micro-control unit; for processing data or information obtained by the vehicle fault detection device; an OBD communication circuit, connected to the OBD interface of the vehicle and the micro-control unit; The OBD communication circuit is used to collect the fault code of the vehicle; a GPS positioning module is used to obtain the driving state of the vehicle; a data transmission module is used to transmit the data or information obtained by the vehicle fault detection device to the remote data center; A serial interface module, the OBD communication circuit, GPS positioning module, and data transmission module are connected to the micro control unit through the serial interface module.

In an embodiment of the present invention, the vehicle fault detection device further includes a clock module for setting the time frequency of data or information collection; a reset module for reset detection of the vehicle fault detection device; a display screen, Used to display data or information; a normal power supply and a backup power supply.

In an embodiment of the present invention, the data processing module includes a data receiving module for receiving data or information transmitted by the vehicle fault detection device; a data analysis module for analyzing the data or information transmitted by the vehicle fault detection device Information; a data storage module, used to store the data or information analyzed by the data analysis module; a database, the database acquires and stores data or information from the data storage module.

In an embodiment of the present invention, the vehicle fault analysis system includes a knowledge base, data is associated with the database, and the knowledge base is used to pre-store the correspondence between fault codes and vehicle faults and the confidence of the correspondence; An inference engine, used to obtain data or information from the knowledge base; and obtain the cause of the vehicle failure according to the correspondence between the fault code and the vehicle failure and store the cause of the vehicle failure in the database and the knowledge base.

In an embodiment of the present invention, the client is loaded with a program application module, and the program application module includes a user management module for adding or deleting users, as well as modifying user information and setting user permissions; a vehicle monitoring module , used to monitor and view fault codes, vehicle driving status, and fault causes; a fault alarm module, used to alarm and prompt the fault transmitted to the remote data center; a maintenance guidance module, used to obtain the information provided by the remote data center Vehicle maintenance advice.

Another object of the present invention is to provide a monitoring method for a vehicle failure real-time monitoring and service system.

The technical solution for achieving the above object is: a monitoring method for a vehicle failure real-time monitoring and service system, comprising the following steps: S1) detecting real-time data or information of the vehicle; S2) processing and storing the data transmitted by the vehicle failure detection device or information; infer the cause of vehicle failure; S3) the program application module in the client acquires and displays the cause of vehicle failure from the remote data center.

In an embodiment of the present invention, said step S1) includes the following steps: S11) the vehicle fault detection device collects real-time data or information, including the OBD communication circuit of the vehicle fault detection device collecting the fault code of the vehicle; the GPS of the vehicle fault detection device The positioning module obtains the vehicle running state; wherein, the vehicle running state includes vehicle position information and vehicle speed; S12) the micro control unit of the vehicle fault detection device judges whether the real-time data or information of the vehicle received is received, if not received, then returns Step S11); if received, proceed to step S13); S13) The data transmission module sends the real-time data or information collected by the vehicle data collection module to the remote data center.

In an embodiment of the present invention, the step S2) includes the following steps: S21) the data receiving module receives real-time data or information transmitted by the vehicle fault detection device; S22) the data analysis module parses and processes the real-time data obtained from the data receiving module or information, including associating a time information synchronized with the analysis time to each data or information in the database; S23) the inference engine draws the cause of the vehicle failure according to the correspondence between the fault code and the vehicle failure and stores the cause of the vehicle failure into databases and knowledge bases.

In an embodiment of the present invention, the step S22) includes the following steps: S221) the data analysis module converts the latitude and longitude of the vehicle position information into map coordinates and stores it in the database; S222) the data analysis module stores the data of the vehicle speed in the In the database; S223) The data analysis module stores the fault codes in the database.

In an embodiment of the present invention, the step S23) includes the following steps: S231) the inference engine searches the correspondence between the fault code and the vehicle failure from the knowledge base; S232) the inference engine infers the corresponding relationship between the fault code and the vehicle failure Cause of vehicle failure.

In an embodiment of the present invention, the step S232) includes the following steps, S2321) the inference engine calculates the number of entries of the corresponding relationship, and numbers them in numerical order; S2322) the inference engine numbers the corresponding relationship from the first number At the beginning, check whether the failure is in the corresponding relationship; if it exists, enter step S2323); if it does not exist, then inquire about the corresponding relationship of the next digital number in numerical order; S2323) the inference engine calculates the corresponding relationship of the failure. The number of the corresponding relationship, judge whether the number is 1, if so, enter step S2324); if not, then enter step S2325); S2324) reasoning machine directly obtains the cause of the fault in the corresponding relationship described in this article; S2325) Inference engine according to the degree of confidence of the preset corresponding relationship in the knowledge base, arrange the corresponding relationship obtained in step S2323) from high to low, and synthesize the corresponding relationship described in each item to obtain the cause of failure; S2326) reasoning Inferring the various causes and confidence levels of the vehicle failure; S2327) The vehicle failure analysis system provides vehicle maintenance opinions based on the reasons for the vehicle failure deduced by the inference engine, and stores the vehicle maintenance opinions in the database.

In an embodiment of the present invention, the step S3) includes the following steps: S31) the client obtains the vehicle failure alarm information from the remote data center; S32) the client obtains the vehicle maintenance opinion from the remote data center; S33) the user feeds back the maintenance result ; S34) the remote data center judges whether the maintenance is successful, if so, then enters step S37); if not, then enters step S35); S35) the user searches for a nearby vehicle maintenance organization through the client, and sends the vehicle to the vehicle maintenance organization The cause of the failure and the maintenance opinion of the vehicle; S36) the maintenance organization proposes a solution; S37) ends.

The advantage of the present invention is: solve the defective that exists in the background technology, the present invention utilizes GPS module to collect the geographical position information of vehicle in real time, management center will be able to monitor the real-time position of vehicle like this, when vehicle breaks down, will be able to Conduct unified dispatch, guidance and rescue.

The present invention builds a remote computing center based on the network. Due to the advantage of the large capacity of the server, the system can store multiple pieces of historical data, which is convenient for users to query and trace, and also facilitates the remote data center to uniformly integrate fault information of various vehicles.

The invention intelligently diagnoses vehicle faults, and based on the knowledge base and reasoning machine, deduces accurate and easy-to-understand fault causes and fault maintenance opinions, which will greatly facilitate the maintenance of vehicles by users; at the same time, the system uses fault codes and actual faults Confidence between, improve the expression of the knowledge base, make the cause of the fault more accurate and reliable.

The invention adopts the scheme of dual-computer hot standby for the server of the remote computing center to realize the disaster recovery system; when the main server fails, it can quickly and automatically switch to the standby server. At the same time, in order to realize distributed and high-load program application modules, the load balancing technology is used to jointly carry the program application modules through multiple virtual machines in the application program server.

Description of drawings

The invention will be further described below in conjunction with the accompanying drawings and embodiments.

Fig. 1 is a general block diagram of a vehicle fault real-time monitoring and service system according to an embodiment of the present invention.

Fig. 2 is a schematic diagram of modules of a vehicle fault detection device according to an embodiment of the present invention.

Fig. 3 is a schematic diagram of a remote data center module according to an embodiment of the present invention.

Fig. 4 is a schematic diagram of a client module of an embodiment of the present invention.

Fig. 5 is a flow chart of the general steps of the vehicle fault real-time monitoring and service system of the monitoring method embodiment of the present invention.

Fig. 6 is a flow chart of the vehicle failure detection steps of the embodiment of the monitoring method of the present invention.

Fig. 7 is a flowchart of the data processing steps of the data processing module of the embodiment of the monitoring method of the invention.

Fig. 8 is a flow chart of forward reasoning steps of the reasoning machine in the embodiment of the monitoring method of the present invention.

FIG. 9 is a flow chart of steps for information interaction between a remote data center and a client in an embodiment of the monitoring method of the present invention.

in;

1 vehicle fault detection device; 2 remote data center;

3 client; 10 data transmission module;

11 micro control unit; 12 OBD communication circuit;

13 serial interface module; 14 GPS positioning module;

15 clock module; 16 reset module;

17 display screen; 18 common power supply;

19 backup power supply; 21 data processing module;

22 vehicle failure analysis system; 210 data receiving module;

211 data analysis module; 212 data storage module;

213 database; 221 knowledge base;

222 reasoning engine; 31 program application module;

311 user management module; 312 vehicle monitoring module;

313 fault alarm module; 314 maintenance guidance module.

Detailed ways

The present invention will be described in further detail in conjunction with accompanying drawing and embodiment now, all accompanying drawing is simplified schematic diagram, only illustrates the basic structure of the invention in schematic mode, so it only shows the formation relevant to the present invention.

Example

As shown in FIG. 1 , a vehicle fault real-time monitoring and service system includes a vehicle fault detection device 1 , a remote data center 2 , and a client terminal 3 .

Wherein, the vehicle fault detection device 1 is loaded on the vehicle body; the vehicle fault detection device 1 is used to detect real-time data or information of the vehicle.

Specifically, as shown in Figure 2, the vehicle failure detection device 1 includes a data transmission module 10, a micro control unit 11, an OBD communication circuit 12, a serial interface module 13, a GPS positioning module 14, a clock module 15, A reset module 16 , a display screen 17 , a normal power source 18 and a backup power source 19 .

The OBD communication circuit 12 of the vehicle failure detection device 1 is connected to the OBD interface of the vehicle through the CAN bus, the OBD interface is connected to the on-board computer of the vehicle, and the OBD communication circuit 12 is connected to the micro control unit 11 through the serial interface module 13 . The OBD communication circuit 12 collects the fault codes of the vehicle.

The GPS positioning module 14 is connected to the micro-control unit 11, and the GPS positioning module 14 is used to obtain the driving state of the vehicle. The driving status of the vehicle includes geographic location information and vehicle speed when the vehicle is running. Geolocation information includes latitude and longitude.

The micro control unit 11 is used for processing the data or information acquired by the vehicle fault detection device 1 . The micro-control unit 11 is the core of the entire vehicle fault detection device 1 , controls the operation of the vehicle fault detection device 1 , and is used to complete functions such as sending and receiving data or information and analyzing and calculating data. The clock module 15 is used to set the time frequency of data or information collection; to provide a clock for the operation of the micro control unit 11 .

The reset module 16 is used for reset detection of the vehicle failure detection device 1 , that is, when the micro control unit 11 is abnormal, it can be reset.

The display screen 17 is used to display data or information; the display screen 17 is an LED display screen. Commonly used power supply 18 and a backup power supply 19, commonly used power supply 18 provides power for each module or unit of this vehicle failure detection device 1, and backup power supply 19 is used for each module of this vehicle failure detection device 1 when the normal power supply 18 fails. or the unit provides power.

The data transmission module 10 in the vehicle failure detection device 1 is a GPRS module, and the GPRS module sends the data or information collected by the device to the remote data center 2 in packages using the TCP/IP protocol. Wherein, the data transmission module 10 is connected with the micro control unit through the serial interface module 13 .

As shown in FIG. 3 , the remote data center 2 is used to receive and analyze the data or information transmitted by the vehicle fault detection device 1 . Wherein, the remote data center 2 includes a data processing module 21 and a vehicle failure analysis system 22 .

The data processing module 21 is used to process and store the data or information transmitted by the vehicle fault detection device 1 . The data processing module 21 includes a data receiving module 210 , a data analysis module 211 , a data storage module 212 and a database 213 .

The data receiving module 210 is used to receive the data or information transmitted by the vehicle fault detection device 1 , and transmit the data or information to the data analysis module 211 . The data receiving module 210 receives data packets sent by each vehicle fault detection module through the socket.

The data analysis module 211 is used to analyze the data or information transmitted by the vehicle fault detection device 1 . The data or information includes two types, one is the geographic location information of the vehicle: the geographic location information (longitude and latitude) of the vehicle collected by the GPS module in the vehicle fault detection device 1, and the vehicle speed. The other is vehicle fault information: the fault code of the vehicle collected by the vehicle fault detection device 1.

The data analysis module 211 analyzes according to the established data protocol. Since the data collected by the vehicle fault detection device 1 does not include time information, when analyzing the data or information, the corresponding time information is added to the data or information. Information can be synchronized with resolution time. The parsed longitude and latitude of the vehicle must be transformed into map coordinates before it can be applied to the system map. Therefore, the longitude and latitude data are transformed into map coordinates after parsing.

The data storage module 212 is used to store the data or information analyzed by the data analysis module 211. The data storage module 212 stores the analyzed data in the data table in the database 213 using SQL statements, so as to facilitate the traceability of later historical data. The data in the data storage module 212 generates a database 213 , and the database 213 obtains and stores data or information from the data storage module 212 . In this embodiment, in order to facilitate the query and retrieval of data, each vehicle fault detection device 1 is provided with a data table, and after the vehicle fault detection device 1 collects data or information, it stores each data into a data packet and stores it in a data table. table. As shown in Table 1 below.

Table 1: Contains the number information of the corresponding module or unit, where each module or unit has its own preset module number information; data collection time is the time information added after data processing; data is the data information obtained by analysis.

field name module number Data collection time data type of data Int Datetime Double

The vehicle failure analysis system 22 is used to deduce the cause of the vehicle failure. The vehicle failure analysis system 22 includes a knowledge base 221 and an inference engine 222 . Wherein, the data of the knowledge base 221 is associated with the database 213 , and the inference engine 222 can also call data or information from the knowledge base 221 and the database 213 .

Wherein, the knowledge base 221 pre-stores correspondences between one or more fault codes and vehicle faults. The knowledge base 221 mainly stores the experts' knowledge and experience of fault diagnosis in the database 213 according to a series of rules or corresponding relationships. The corresponding relationship is usually represented by "IF P THEN Q", wherein P represents a premise or condition, and Q represents a conclusion that can be deduced from the condition; P can be composed of logical operators; AND, OR or NOT to form an expression; thus forming corresponding relationship set. For example: IF fuel pressure is too high (P0192) OR fuel injector control circuit failure (P0200) THEN engine idle speed is too high. However, it is difficult to deduce the real cause of the fault based on the fault code alone. For example, there are many possible reasons for the fault code P0300 (engine misfire fault), such as: ignition system fault, fuel injector fault, intake pressure sensor fault, engine cooling Fluid temperature sensor failure, etc. Therefore, the corresponding relationship is improved according to the rule experience provided by the experts, which is represented by "IF P THEN Q(RW=M _i )", where RW is the confidence degree, and _Mi is the value of the confidence degree.

The inference engine 222 is the most important part of the fault expert system. According to the currently known information, using the corresponding relationship in the knowledge base 221 and the confidence of the corresponding relationship, it performs inference according to a certain reasoning method and control strategy, and obtains the vehicle cause of failure. Reasoning machine 222 can be divided into three types: forward reasoning, reverse reasoning and forward and reverse reasoning. Forward reasoning starts from known faults and gradually deduces the fault source. Therefore, the forward reasoning machine 222 system is selected, and the cause of the failure is deduced through the failure code in the database 213, and maintenance advice is given through the cause of the failure.

The inference engine 222 is used to obtain data or information from the database 213 ; and obtain the cause of the vehicle failure according to the correspondence between the fault codes and the vehicle failure in the knowledge base 221 and store the cause of the vehicle failure in the database 213 .

The specific forward reasoning method will be specifically described in the monitoring method embodiment of this embodiment, and will not be repeated here.

It should be noted that, in this embodiment, the network architecture of the remote data center 2 includes a router, which provides each server with a network address for the server and the vehicle fault detection device 1, the server and the server, and the server and the program Network communication between application modules 31 . The communication server implements data processing, the database 213 server implements data storage, the application server carries the program application module 31, and the fault diagnosis server implements the vehicle fault analysis system 22 for diagnosing vehicle faults. That is to say, in this embodiment, each module and system in the remote data center 2 is implemented based on a server.

In order to achieve a high-availability system platform, all server disks use RAID 1 full-disk mirroring. In addition, the communication server, fault diagnosis server and database 213 server with single-point failure characteristics adopt the dual-computer hot backup scheme to realize the disaster recovery system. When the primary server fails, it can quickly and automatically switch to the standby server. In order to realize the distributed and high-load program application module 31, the program application module 31 is jointly carried by multiple virtual machines in the application server by using load balancing technology.

As shown in FIG. 4 , in this embodiment, the client 3 is an application terminal, which supports user access from PC and mobile phones, so that different users can use the program application module 31 to obtain system services. When the user uses the network to access the program application module 31, the vehicle failure can be monitored in real time during the running of the vehicle. Each client 3 is connected to the remote data center 2; the client 3 is used to view vehicle data or information; and is used to obtain analysis results and prompt information from the remote data center 2. The client 3 is loaded with a program application module 31 , and the program application module 31 includes a user management module 311 , a vehicle monitoring module 312 , a fault alarm module 313 , and a maintenance guidance module 314 .

The user management module 311 is used to add or delete users, modify user information and set user permissions. It includes four user permissions for vehicle users, maintenance organizations, 4S shops, and administrators. Only administrators have the function of user authority management. Vehicle users can only view information such as the geographical location, speed, and cause of failure of their own vehicles, while repair shops and 4S stores can view information about multiple vehicles.

The vehicle monitoring module 312 is used for monitoring and viewing, vehicle driving status, fault codes, and fault causes. Users can monitor the geographical location and speed information of the vehicle in real time, and will remind the user when the speed is exceeded. When the vehicle breaks down, it will recommend nearby maintenance agencies based on the location.

The fault alarm module 313 is used for receiving the fault alarm transmitted by the remote data center 2 . When the vehicle breaks down, the program application module 31 will push and pop up two forms to provide the user with a fault alarm reminder, including vehicle fault code information and fault cause information.

The maintenance guidance module 314 is used to obtain the vehicle maintenance advice provided by the remote data center 2 . Display the maintenance guidance information to the user, carry out corresponding maintenance on the vehicle, and achieve the goal of solving the vehicle failure. For the vehicle user, the vehicle user will be instructed to carry out maintenance. If the vehicle user fails to perform the maintenance, the vehicle user will search for and seek help from nearby maintenance organizations. After the maintenance agency receives the vehicle user's request for help, it will send maintenance personnel to repair the vehicle based on the cause of the vehicle's real-time failure. For maintenance organizations or 4S shops, the maintenance guidance information will provide them with maintenance reference opinions.

Through the function modules of the above-mentioned program application module 31 , the user will maintain the vehicle more conveniently and quickly, and solve the failure problem of the vehicle more effectively.

Monitoring method embodiment

As shown in FIG. 5 , a monitoring method of a vehicle failure real-time monitoring and service system includes the following steps.

As shown in Figure 6, S1) Detect the real-time data or information of the vehicle. Specifically, the step S1) includes the following steps.

S11) The vehicle data collection module 13 collection device collects real-time data or information, including vehicle fault codes, vehicle driving status, and vehicle driving status includes vehicle position information and vehicle speed.

Before the above step S11), the vehicle failure detection device 1 needs to be detected: at first the vehicle failure detection device 1 initializes the micro control unit 11 by the reset module 16, and configures the IO port, the serial interface module 13, the clock module 15 and the interrupt device etc. Then the clock module 15 starts counting, and initializes the GPRS module and the OBD communication circuit. If there is no problem, proceed to step S11).

In step S11), the GPS module reads the vehicle's geographic location (including latitude and longitude), and vehicle running status (including vehicle speed). The OBD communication circuit 12 connected to the micro-control unit 11 reads the fault codes of the vehicle through the CAN communication bus; then packs the data such as the geographic location of the vehicle, the operating status of the vehicle, and the fault codes. S12) The micro control unit 11 judges whether the collected real-time data or information of the vehicle is received, if not received, then returns to step S11); if received, then enters step S13).

When above-mentioned S12), micro-control unit 11 sends heartbeat packet and confirms whether the network of GPRS module is connected normally, if connect abnormally within several times, then continue to connect to network; If connect normally within several times, represent network connection is normal; Then Send the packaged data to the GPRS module.

S13) The data transmission module 10 sends the real-time data or information collected by the vehicle fault detection device 1 to the remote data center 2 .

As shown in FIG. 7 , S2) the remote data center 2 processes and stores the data or information transmitted by the vehicle failure detection device 1 and infers the cause of the vehicle failure. The step S2) includes the following steps.

S21) The data receiving module 210 receives the real-time data or information collected by the vehicle fault detection device 1 transferred to by the data transmission module 10 .

S22) The data analysis module 211 analyzes and processes the real-time data or information obtained from the data receiving module 210, including associating a time information synchronized with the analysis time to each data or information in the database 213. Since the analysis time is substantially equivalent to the data collection time, this analysis time can be considered as the data collection time.

In above-mentioned step S22), remote data center 2 judges whether to receive the data that GPRS module sends, if not receiving data, then continue to wait for the data that sends; If receive above-mentioned data, then this data analysis. The parsed data is divided into three parts; the first part of the data is the geographic location of the vehicle (including longitude and latitude), the second part of the data is the vehicle speed, and the third part of the data is the fault code of the vehicle.

The above step S22) includes the following steps.

S221) The data analysis module 211 converts the latitude and longitude of the vehicle location information into map coordinates and stores them in the database 213. Since this data is GPS coordinates, it must be converted into map coordinates before it can be applied to the map of the system. If the conversion is successful, the converted map coordinates are stored in the database 213. If the conversion is not successful, the next conversion is performed.

S222) The data analysis module 211 stores the vehicle speed data into the database 213.

S223) The data analysis module 211 stores the fault codes in the database 213.

As shown in FIG. 8, S23) The inference engine 222 obtains the cause of the vehicle failure according to the correspondence between the fault code and the vehicle failure and stores the cause of the vehicle failure in the database 213 and the knowledge base 221. In this step, the inference engine 222 searches for the corresponding relationship in the knowledge base 221. If there is no such corresponding relationship in the knowledge base 221, the search will be performed again; if there is such a corresponding relationship in the knowledge base 221, then the number of corresponding relationships is calculated. , the cause of the fault is obtained through the forward inference engine 222 of the inference engine 222.

The step S23) includes the following steps.

S231) The inference engine 222 searches the knowledge base 221 for the corresponding relationship between the fault code and the vehicle fault. The corresponding relationship is set according to certain rules.

S232) The inference engine 222 deduces the cause of the vehicle failure according to the corresponding relationship between the failure code and the vehicle failure.

The step S232) includes the following steps.

S2321) The reasoning engine 222 calculates the number of entries of the corresponding relationship, and numbers them in numerical order.

S2322) Inference engine 222 starts from the corresponding relationship of the first digital number, and checks whether the failure is in the corresponding relationship; if it exists, then enter step S2323); if it does not exist, then inquire about the next digital number in numerical order the corresponding relationship.

In the above step S2322), firstly, the inference engine 222 reads the fault code stored in the database 213, and the fault code is the fault code collected by the vehicle data collection module 13 and analyzed by the data analysis module 211. The inference engine 222 queries and matches the first rule in the knowledge base 221 according to the fault code, and the first rule is the corresponding relationship of the first digital number; if there is no query matching, then query the next rule in the matching knowledge base 221 , until the rule corresponding to the fault code is queried.

S2323) The inference engine 222 calculates the number of the correspondences corresponding to the fault, and judges whether the number is 1, and if so, proceeds to step S2324); if not, proceeds to step S2325). In this step, if the query matches the rule corresponding to the fault code, all rules related to the fault code are traversed.

S2324) The inference engine 222 directly acquires the cause of the fault in the correspondence relationship described in this article. If the number of relevant rules i=1, the cause of the vehicle failure under this rule is obtained.

S2325) The inference engine 222 arranges each corresponding relationship obtained in step S2323) from high to low according to the confidence level of the preset corresponding relationship in the knowledge base 221, and synthesizes the corresponding relationship described in each item to obtain the cause of the failure. . If the number of relevant rules i>1, then arrange all relevant regular expressions according to the confidence of the rules provided by experts from high to low.

For example, when the fault code collected by the fault detection terminal and transmitted to the remote data center 2 is P0300, it is first traversed that there are 6 rules related to it, and then the 6 rules are sorted according to the rule confidence RW, and the arrangement is as follows:

Then take out the cause of failure and the confidence level of the above sorting rules.

S2326) The inference engine 222 infers various causes and confidence levels of the vehicle failure.

S2327) The vehicle failure analysis system provides a vehicle maintenance opinion according to the reason of the vehicle failure deduced by the inference engine, and stores the vehicle maintenance opinion in the database. Provide maintenance advice through the analysis of the cause of the vehicle failure: the cause of the vehicle failure is complex, there are six possibilities, the most likely is the failure of the fuel injector or the abnormal compression pressure of the cylinder. And store the failure reasons and maintenance opinions in the database.

As shown in FIG. 9 , S3) The remote data center 2 sends the fault reason to the client 3 .

The step S3) includes the following steps.

S31) The client 3 obtains the vehicle failure alarm information from the remote data center 2.

In the above step S31), when the vehicle breaks down, the remote data center 2 will remind the vehicle user through the pop-up box on the PC end and the APP push, and the user can obtain the failure of the car from the remote data center 2 through the program application module of the client, and possible causes of failure.

S32) The client 3 obtains the vehicle maintenance opinion from the remote data center 2.

S33) The user feeds back the maintenance result.

S34) The remote data center 2 judges whether the maintenance is successful, if so, then enter step S37); if not, then enter step S35).

S35) The client 3 searches for a nearby vehicle maintenance organization, and sends the cause of the vehicle failure and the vehicle maintenance opinion to the vehicle maintenance organization.

S36) The maintenance organization proposes a solution.

S37) ends.

The above is inspired by the ideal embodiment of the present invention, through the above description, relevant personnel can make various changes and modifications without departing from the scope of the technical idea of the present invention. The technical scope of the present invention is not limited to the contents in the description. The technical scope must be determined according to the scope of the claims.

Claims (8)

1. A real-time monitoring and service system for vehicle failure is characterized by comprising

the vehicle fault detection device is loaded on the vehicle body; the vehicle fault detection device is used for detecting real-time data or information of a vehicle;

The remote data center is used for receiving and analyzing the data or information transmitted by the vehicle fault detection device;

At least one client connected to the remote data center; the client is used for viewing data or information of the vehicle; the remote data center is used for acquiring and displaying the analysis result and the prompt information stored in the remote data center;

wherein the remote data center comprises

The data processing module is used for processing and storing the data or the information transmitted by the vehicle fault detection device; the data processing module comprises

The data receiving module is used for receiving data or information transmitted by the vehicle fault detection device;

The data analysis module is used for analyzing the data or information transmitted by the vehicle fault detection device;

the data storage module is used for storing the data or the information analyzed by the data analysis module;

The database acquires and stores data or information from the data storage module;

The vehicle fault analysis system is used for deducing the reason of the vehicle fault according to the processed data or information;

the vehicle failure analysis system comprises

the knowledge base is used for prestoring the corresponding relation between the fault codes and the vehicle faults and the confidence coefficient of the corresponding relation;

the inference engine is used for acquiring data or information from the database; obtaining the reason of the vehicle fault according to the corresponding relation between the fault code and the vehicle fault, storing the reason of the vehicle fault into a database, calculating the number of items of the corresponding relation, and numbering the items in a numerical sequence; starting from the corresponding relation of the first number character number, inquiring whether the fault is in the corresponding relation, if so, calculating the number of the corresponding relation corresponding to the fault by the inference engine, judging whether the number is 1, and if so, directly acquiring the reason of the fault in the corresponding relation by the inference engine; if not, the inference machine arranges each corresponding relation in the corresponding relation number corresponding to the fault from high to low according to the confidence degree of the preset corresponding relation in the knowledge base, and synthesizes each corresponding relation to obtain the reason of the fault; if the fault is not in the corresponding relation, inquiring the corresponding relation of the next number in the numerical sequence; reasoning out various reasons and confidence degrees of the vehicle fault; the vehicle failure analysis system provides vehicle maintenance opinions according to the reason of the vehicle failure inferred by the inference engine, and stores the vehicle maintenance opinions in the database.

2. The vehicle fault real-time monitoring and service system of claim 1, wherein the vehicle fault detection device comprises

A micro control unit; for processing data or information acquired by the vehicle fault detection device;

The OBD communication circuit is connected with an OBD interface and a micro control unit of the vehicle; the OBD communication circuit is used for collecting fault codes of the vehicle;

The GPS positioning module is used for acquiring the running state of the vehicle;

The data transmission module is used for transmitting the data or the information acquired by the vehicle fault detection device to the remote data center;

and the OBD communication circuit, the GPS positioning module and the data transmission module are connected with the micro control unit through the serial interface module.

3. the vehicle fault real-time monitoring and service system of claim 1, wherein the vehicle fault detection device further comprises

the clock module is used for setting the time frequency of data or information acquisition;

The reset module is used for carrying out reset detection on the vehicle fault detection device;

the display screen is used for displaying data or information;

A common power supply and a backup power supply.

4. The vehicle fault real-time monitoring and service system according to claim 1, wherein the client is loaded with a program application module, and the program application module comprises

The user management module is used for adding or deleting users, modifying user information and setting user authority;

The vehicle monitoring module is used for monitoring and checking the running state, the fault code and the fault reason of the vehicle;

the fault alarm module is used for alarming and prompting the fault transmitted by the remote data center;

And the maintenance guide module is used for acquiring the vehicle maintenance suggestions provided by the remote data center.

5. a monitoring method of a vehicle fault real-time monitoring and service system according to claim 1, characterized by comprising the steps of:

S1) detecting real-time data or information of the vehicle;

S2) processing and storing the data or information transmitted by the vehicle fault detection device, and inferring the cause of the vehicle fault;

The step S2) includes the steps of:

S21) the data receiving module receives real-time data or information transmitted by the vehicle fault detection device;

S22) the data analysis module analyzes and processes the real-time data or information obtained from the data receiving module, including associating a time information synchronous with the analysis time to each data or information in the database;

S23) the inference machine obtains the reason of the vehicle fault according to the corresponding relation between the fault code and the vehicle fault and stores the reason of the vehicle fault into a database; the step S23) includes the steps of:

S231) the inference machine searches the corresponding relation between the fault codes and the vehicle faults from the knowledge base;

S232) reasoning the reason of the vehicle fault according to the corresponding relation between the fault code and the vehicle fault;

Said step S232) comprises the steps of,

S2321) the inference machine calculates the number of items of the corresponding relation and numbers the items in the numerical sequence;

s2322) the inference machine starts from the corresponding relation of the first number and inquires whether the fault is in the corresponding relation; if yes, entering step S2323); if not, inquiring the corresponding relation of the next number according to the numerical sequence;

S2323) the inference engine calculates the number of the corresponding relations corresponding to the fault, judges whether the number is 1, and if yes, the process goes to S2324); if not, go to step S2325);

s2324) the reasoning machine directly obtains the reason of the fault in the corresponding relation;

s2325) the inference machine arranges the corresponding relations obtained in the step S2323) from top to bottom according to the confidence degree of the preset corresponding relations in the knowledge base, and synthesizes the corresponding relations to obtain the fault reason;

S2326) the inference machine deduces various reasons and confidence degrees of the vehicle fault;

s2327) the vehicle fault analysis system provides vehicle maintenance suggestions according to the reason of the vehicle fault inferred by the inference engine, and stores the vehicle maintenance suggestions into a database;

S3) the program application module in the client acquires and displays the cause of the vehicle failure from the remote data center.

6. the monitoring method of a vehicle malfunction real-time monitoring and service system according to claim 5, wherein the step S1) includes the steps of:

s11) the vehicle fault detection device collects real-time data or information, including the fault code of the vehicle collected by the OBD communication circuit of the vehicle fault detection device; a GPS positioning module of the vehicle fault detection device acquires a vehicle running state; wherein the vehicle running state includes vehicle position information and vehicle speed;

S12) the micro control unit of the vehicle fault detection device judges whether the collected real-time data or information of the vehicle is received or not, if not, the step S11) is returned; if so, go to step S13);

s13) the data transmission module transmits the real-time data or information collected by the vehicle data collection module to a remote data center.

7. the monitoring method of a vehicle malfunction real-time monitoring and service system according to claim 5, wherein the step S22) includes the steps of:

S221) the data analysis module converts the longitude and latitude of the vehicle position information into map coordinates and stores the map coordinates into a database;

S222) the data analysis module stores the data of the vehicle speed into a database;

S223) the data analysis module stores the fault code into the database.

8. the monitoring method of a vehicle malfunction real-time monitoring and service system according to claim 5, wherein the step S3) includes the steps of:

S31) the client obtains vehicle fault alarm information from the remote data center;

S32) the client obtains vehicle maintenance opinions from the remote data center;

S33) the user feeds back the maintenance result;

S34) the remote data center judges whether the maintenance is successful, if so, the step S37) is carried out; if not, proceed to step S35);

S35) the user searches nearby vehicle repair facilities through the client and sends the cause of the vehicle failure and the vehicle repair advice to the vehicle repair facilities;

S36) a maintenance organization proposes a solution;

S37) ends.