CN115373366A

CN115373366A - Interactive diagnosis system, diagnosis method and storage medium

Info

Publication number: CN115373366A
Application number: CN202210910432.0A
Authority: CN
Inventors: 杨龙; 付华芳; 杨国超; 文家福; 蔡小红
Original assignee: Dongfeng Off Road Vehicle Co Ltd
Current assignee: Dongfeng Off Road Vehicle Co Ltd
Priority date: 2022-07-29
Filing date: 2022-07-29
Publication date: 2022-11-22

Abstract

The invention discloses an interactive diagnosis system, which comprises diagnosis equipment, a data conversion box, a safety gateway, an electric control unit and a diagnosis background server, wherein the diagnosis equipment is in communication connection with the data conversion box; the diagnosis equipment comprises a data acquisition module, a data analysis module, a logic reasoning module, a man-machine interaction module and a log management module. The invention also discloses an interactive diagnosis method and a storage medium. The method parameterizes the logic analysis function, makes up the associated data, parameterizes and accumulates each successful analysis case, actively pushes a solution, and effectively improves the accuracy and the efficiency of the complex cross-system functional fault diagnosis through all-around, three-dimensional and multi-dimensional reasoning analysis and logic judgment.

Description

Interactive diagnosis system, diagnosis method and storage medium

Technical Field

The invention belongs to the technical field of automobile fault diagnosis, and particularly relates to an interactive diagnosis system, a diagnosis method and a storage medium.

Background

With the increasing degree of automobile electric control and intelligent networking, the functional complexity of automobiles increases day by day, and how to ensure the normal use of each function of the automobiles in the whole life cycle of the automobiles is a problem which is always highly concerned by automobile enterprises. Modern diagnostic techniques are also rapidly developing with the strong demands of customers and manufacturing enterprises. The development of modern diagnosis technology aims to make the diagnosis process efficient and convenient, the diagnosis result accurate, create carefree vehicle service for customers, realize modern system capability for production enterprises, realize high-efficiency after-sale support teams and low-cost market maintenance expenditure.

There are commercially available vehicle type or professional brand vehicle diagnostic devices or apparatuses, commonly referred to in the industry as decoders, on the market. Compared with the early multimeter, oscillometer and other instruments with single functions, the multifunctional oscillometer has the great advantages that the multifunctional oscillometer CAN perform communication protocol data interaction with an electric control unit on a vehicle based on a CAN bus, an Ethernet, a LIN bus and the like, and CAN read the functions of fault information, state data and the like stored in a self-diagnosis system of each electric control unit of the vehicle; the fuzzy description of the past fault phenomenon is improved into visual and visible fault information and real-time readable key state data. However, the problem of low diagnosis accuracy still exists through actual use condition feedback, the biggest defect is that analysis and judgment of the overall frame structure layer logic is lacked, the self-diagnosis system of each ECU is still used as a core monitoring category, the diagnosis accuracy of the small circulation area of the ECU is high, and the monitoring and analysis capability of cross-system functional fault failure is obviously insufficient. The description of the fault information is still the fundamental factor of being unable to locate based on the phenomenon monitoring feedback of some local characteristics, especially for systematic complex faults. There are statements in the industry that state of the art as innovate and deficient: the fault code is not necessarily a true fault.

The current diagnostic equipment has three limitations in summary, firstly, the self-diagnosis capability of each electric control unit is completely depended on, the self-diagnosis capability of each electric control unit is strong, the diagnosis accuracy of the system is high, the coverage of the diagnosable capability is high, the self-diagnosis capability is weak, the diagnosis accuracy is poor, and the coverage of the diagnosis function is low; second, independence, lack of associative interaction, lack of logical validation analysis. The main diagnostic equipment in the current industry is also a decoder which is said at best, only plays the value of a tool means, is similar to a radio station, only interprets the telegraph text, and still needs an interpreter with very rich experience to interpret, analyze and judge and solve according to experience and event backgrounds. Thirdly, the diagnosis device and the diagnosis system are relatively closed, and are mainly operated manually, including writing in related configuration data, flashing and executing operations and the like, so that the accuracy management and judgment of written contents and the accuracy evaluation of test contents are lacked, and certain risks of wrong writing and wrong flashing operations exist.

Disclosure of Invention

Aiming at the defects or the improvement requirements of the prior art, the invention provides an interactive diagnosis system and a diagnosis method, which enable the system verification logic to be visualized, have response feedback and greatly ensure the accuracy of writing in the refresh data and the accuracy of fault analysis and judgment.

In order to achieve the above object, according to an aspect of the present invention, an interactive diagnostic system is provided, which includes a diagnostic device, a data conversion box, a security gateway, an electronic control unit, and a diagnostic backend server, where the diagnostic device is communicatively connected to the data conversion box, the data conversion box is communicatively connected to the security gateway, the security gateway is connected to the electronic control unit, and the diagnostic backend server is communicatively connected to the diagnostic device;

the diagnosis equipment comprises a data acquisition module, a data analysis module, a logic reasoning module, a man-machine interaction module and a log management module, wherein,

the data acquisition module is used for collecting fault information recorded by each electric control unit of the vehicle and sending the fault information to the data analysis module;

the data analysis module is used for inquiring and retrieving historical fault diagnosis records in the fault diagnosis database, calculating fault similarity probability, sequencing the fault diagnosis records according to the fault similarity probability and sequentially pushing the fault diagnosis records to the logic reasoning module;

the logic reasoning module is used for analyzing and evolving the fault diagnosis record until determining an actual fault reason and sending the fault reason and a solution to the man-machine interaction module;

the man-machine interaction module is used for receiving user input information and displaying a fault diagnosis result;

and the log management module is used for recording fault diagnosis records, generating diagnosis logs, performing storage management according to vehicle type classification and updating the fault diagnosis database.

Furthermore, the log management module comprises a special vehicle log storage unit and a civil vehicle log storage unit, the special vehicle log storage unit is provided with a local data interface, and the special vehicle log storage unit is used for storing diagnostic logs of diagnostic operations of special vehicles; the civil vehicle log storage unit is in communication connection with the diagnosis background server and is used for storing diagnosis logs of civil vehicle diagnosis operation.

Furthermore, the diagnostic equipment also comprises a software checking and matching module which is used for checking and matching the software version of the automobile-associated electronic control unit.

Further, the diagnosis device further comprises an offline diagnosis configuration module, wherein the offline diagnosis configuration module is in communication connection with the manufacturing enterprise MES system and is used for performing association management on configuration contents and vehicle types and writing configuration information according to offline configuration requirements of the associated vehicle types.

According to another aspect of the present invention, there is provided an interactive diagnostic method implemented by the above interactive diagnostic system, the method comprising the steps of:

s100: establishing communication connection between the diagnostic equipment and a vehicle security gateway, and logging in a diagnostic system;

s200: the data acquisition module collects fault information recorded by each electric control unit of the vehicle through a security gateway and sends the fault information to the data analysis module;

s300: the data analysis module retrieves historical fault diagnosis records of similar vehicle types in the fault diagnosis database according to the fault information, calculates the fault similarity probability, and sorts the historical fault diagnosis records according to the fault similarity probability;

s400: the data analysis module pushes the historical fault diagnosis record with the highest fault similarity probability in the sequence to the logic inference module and eliminates the historical fault diagnosis record from the sequence;

s500: the logic reasoning module analyzes and evolves the pushed historical fault diagnosis record, judges whether the pushed fault reason is an actual fault reason, sends the fault reason and a solution to the man-machine interaction module if the pushed fault reason is the actual fault reason, and returns to S400 if the pushed fault reason is not the actual fault reason;

s600: and the log management module records the fault diagnosis records, generates diagnosis logs, performs storage management according to vehicle type classification and updates a fault diagnosis database.

Further, the process of logging in the diagnostic system in S100 further includes that the security gateway verifies the identity information of the diagnostic device, and the diagnostic device enters the diagnostic system after the verification is successful.

Further, the step S100 of selecting a diagnosis level after entering the diagnosis system, wherein the diagnosis level is a routine diagnosis or an advanced diagnosis; starting a routine diagnostic operation when a routine diagnosis is selected; and when the advanced diagnosis is selected, verifying the user use authority level, and starting advanced diagnosis operation if the verification is successful.

Further, in step S300, the following calculation formula is adopted to calculate the fault similarity probability:

similarity probability = vehicle type similarity + controller similarity + factor DTC similarity + associated DTC similarity + mileage similarity

Further, the step S600 of updating the fault diagnosis database includes correcting the pushed historical fault diagnosis record according to the matching degree between the pushed historical fault diagnosis record and the actual fault cause.

According to another aspect of the invention, a computer-readable storage medium is provided, which stores a computer program which, when executed by a processor, implements an interactive diagnostic method as described above.

In general, compared with the prior art, the above technical solution contemplated by the present invention can achieve the following beneficial effects:

1. the method parameterizes the logic analysis function, makes through the associated data, parametrically accumulates each successful analysis case, analyzes and judges step by adopting an interactive analysis method when fault diagnosis is carried out, and effectively improves the accuracy and the efficiency of the complex cross-system functional fault diagnosis through all-around, three-dimensional and multi-dimensional reasoning analysis and logic judgment.

2. The invention has the functions of evolutionary learning evolution database and probability calculation guidance, can automatically query and retrieve the historical fault diagnosis database according to the reading of the fault information of the vehicle, performs sequencing according to the similarity of the fault information, and provides a final diagnosis result and a maintenance scheme as reference. The past maintenance cases, the same type of faults and the same vehicle type fault cases are effectively utilized really, probability sequencing is carried out through a series of calculation, solutions are pushed actively, and the diagnosis, analysis and positioning efficiency is improved greatly. And after the diagnosis is finished, the database is also updated, the database is enriched, the iteration is continuously updated, and the accuracy of the fault diagnosis is improved.

3. The invention solves the compatibility problem of the special cross-country vehicle and the civil vehicle, develops different API interface applications, the diagnostic data storage of the special vehicle only has an internal storage API interface, and all operation trace data are stored in a local disk; the API interface of the civil vehicle is in butt joint with the background server and the enterprise remote diagnosis client, remote data recovery and data transmission support can be carried out, the API interface and the enterprise remote diagnosis client are independent from each other in terms of diagnosis data transmission and log management, and meanwhile, the data confidentiality requirement of the special vehicle and the remote diagnosis requirement of the civil vehicle are guaranteed.

4. The diagnosis system has the function of cross-system software matching verification, solves the problems of version mismatching, function deficiency or function abnormality in the process of executing software flashing in the prior industry, and ensures safe and reliable flashing.

5. The diagnosis system is communicated with a production management system, strong association management is realized by integrating a vehicle hardware configuration list and software function configuration service requirements, a configuration task management component is automatically generated, a configuration operation process is completed by one key, a configuration operation completion list is automatically printed and generated after configuration operation is completed, database storage is traced and managed at any time, an association mutual exclusion configuration check function is provided, and configuration errors are prevented.

6. The diagnosis system has the identity authentication function, and the validity and the authority level equivalence of the user of the diagnosis equipment are ensured by verifying the identity of the diagnosis equipment by the security gateway in the login process and verifying the user authority level in the advanced diagnosis operation.

Drawings

FIG. 1 is a schematic diagram of an interactive diagnostic system according to an embodiment of the present invention;

FIG. 2 is a diagram of the internal architecture of an interactive diagnostic system in accordance with an embodiment of the present invention;

FIG. 3 is a flowchart illustrating the operation of the log management module according to an embodiment of the present invention;

FIG. 4 is a flowchart of the operation of the offline diagnostic configuration module in accordance with an embodiment of the present invention;

FIG. 5 is a flowchart of an interactive diagnostic method according to an embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the invention. In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.

As shown in fig. 1, the invention provides an interactive diagnosis system, which is integrally divided into three major parts, wherein a terminal comprises a diagnosis device and a data conversion box, a vehicle end comprises electric control units and a security gateway, a cloud end comprises a diagnosis background server and a manufacturing enterprise MES system, and the diagnosis device is provided with the following external communication interfaces: wiFi, bluetooth, ethernet, 5G, 4G, through bluetooth, wiFi, ethernet connection between diagnostic equipment and the data conversion box VCI, diagnostic equipment and diagnosis backend server are through 4G, 5G link connection. The data conversion box VCI is in communication connection with the security gateway, and the security gateway is connected with each electric control unit through a CAN bus. The internal architecture of the interactive diagnostic system is shown in fig. 2.

The diagnosis device comprises a data acquisition module, a data analysis module, a logic reasoning module, a man-machine interaction module, a log management module, a software checking and matching module and an offline diagnosis configuration module.

And the data acquisition module is used for carrying out data interaction with the vehicle electric control unit through the security gateway, collecting fault information recorded by each electric control unit of the vehicle and sending the fault information to the data analysis module.

The data analysis module is used for retrieving historical fault diagnosis records of similar vehicle types in the fault diagnosis database according to the fault information, calculating the probability of fault similarity, sequencing the fault diagnosis records according to the probability of the fault similarity, and sequentially pushing the fault diagnosis records to the logic reasoning module.

And the logic reasoning module is used for analyzing and evolving the pushed fault diagnosis record until an actual fault reason is determined and sending the actual fault reason to the man-machine interaction module.

And the man-machine interaction module is used for receiving user input information including login information and query information and displaying a fault diagnosis result.

And the log management module is used for recording fault diagnosis records, generating diagnosis logs, performing storage management according to the classification of special vehicles and civil vehicles, and updating the fault diagnosis database.

The log management module is divided into a special vehicle log storage unit and a civil vehicle log storage unit which are independent. The method is to be compatible with the characteristics of two systems, a special vehicle is an enterprise door-to-door maintenance service system, and the requirement of local storage is strictly executed due to the requirement of confidentiality; the civil vehicle is mainly a vehicle station entering maintenance service system, and widely adopts scenes such as remote diagnosis technical support and the like for improving maintenance efficiency and reducing after-sale maintenance operation cost. As shown in fig. 3, the special vehicle log storage unit reserves a local USB data acquisition port, and the local USB port performs authentication in a white list verification manner, so as to facilitate local transfer and centralized analysis processing of diagnostic data. For civil vehicle types, the requirements for remote diagnosis and large data diagnosis analysis accumulation are high in timeliness, so that the civil vehicle log storage unit is in communication connection with the diagnosis background server, the diagnosis background server is used for capturing and analyzing large data, and the cloud synchronization module is used for achieving rapid synchronization of the data.

And the software checking and matching module is used for checking and matching the software version of the electric control unit of the automobile correlation system.

The automobile instrument system and other systems usually have very wide association relationship, and the automobile instrument system has wide software and communication signal association in the applications of state display, alarm lamp indication, function switching and the like.

In the actual vehicle type development process, even after the vehicle type is put on the market, functional faults caused by software adaptation reasons often occur, the software matching relation of the correlation system is very important, and due to the complexity of software management, new functional faults are caused by the fact that software versions are frequently wrongly refreshed.

The software checking and matching module is used for guaranteeing the correctness of the updating of the flash software by combing the incidence relation of each system.

Take the following subsystems as examples:

BCM: a body system controller; IC: a meter; IVI: an intelligent information multimedia system; TPMS: a tire pressure monitoring system;

there are three rules for the software version between subsystems:

one is complete mutual matching, one is mutual exclusion relation existing in mismatching, and the other is compatible with the low version and can be used universally.

Based on the three relationships, the following mapping tables are established:

serial number/controller name	BCM	IC	TPMS	IVI
					Contemporaneous software version 1	V1.1_BCM	V1.2_IC	V1.2_TPMS	V1.3_IVI
Contemporaneous software version 2	V1.2_BCM	V1.3_IC	V1.3_TPMS	V1.4_IVI
					Contemporaneous software version 3	/	/	V1.4_TPMS	V1.5_IVI

And defining a synchronous version feature code TQBB, and checking the synchronous version feature code when software is upgraded for any one of the controllers.

For example, by reading a contemporaneous version of the phase BCM encoded as TQBB =1;

performing flash IVI, and selecting the version of IVI as V1.3_ IVI;

for example, by reading a contemporaneous version of the phase BCM encoded as TQBB =2;

performing flash IVI, and selecting the version of IVI as V1.4_ IVI;

for example, if the software version read from the TPMS is the synchronous software version 3, the IVI is reminded to adopt V1.5_ IVI as the flash version when the IVI is performed again, the version is a detailed compatible version, and if the flash fails, the synchronous software version 2 can be returned for the dimension reduction flash.

When the diagnosis operation of software upgrading is carried out, the diagnosis system ensures the integrity and the correctness of the application software data packet by checking the feature code of the application data packet at the security gateway.

The offline diagnosis configuration module is in communication connection with the MES system of the production enterprise and is used for performing association management on configuration contents and vehicle types and writing configuration information according to offline configuration requirements of the associated vehicle types. And the offline diagnosis configuration module makes a diagnosis offline work task list according to the production offline configuration and monitoring requirements, automatically binds the configuration content and the vehicle type configuration, writes in by one key and reads back for verification, and avoids errors caused by manual one-by-one click operation.

As shown in fig. 4, the offline diagnosis configuration process includes: a manufacturing enterprise MES system distributes daily production vehicle type VIN code information, distributes a vehicle type information correlation database, distributes a vehicle type offline configuration service operation requirement database and provides the vehicle type VIN code to an offline diagnosis configuration module; and the offline diagnosis configuration module reads the vehicle type information two-dimensional code, retrieves the associated vehicle type configuration information, generates a vehicle type configuration business requirement, writes the configuration information, returns the configuration information to the manufacturing enterprise MES system for verification, and generates an offline diagnosis configuration working log.

The vehicle type configuration difference example table is as follows:

software configuration

Configuration No. 1

Configuration No. 2

Configuration No. 3

Configuration No. 4

Configuration No. 5

Configuration No. 6

Fuel tank arrangement

Main and auxiliary

Main oil tank only

Main and auxiliary

Brake system arrangement

ABS

ESC

ABS

360 looking around

Is free of

Is composed of

Is provided with

Is composed of

FWCU

Is composed of

Is provided with

Is composed of

Night vision system

Is free of

Is provided with

Is free of

With or without power generation system

Is composed of

Is free of

Is composed of

Is free of

Is provided with

Vehicle door arrangement

(single row)

Fuel heating

Is provided with

Is composed of

Is free of

The corresponding offline diagnosis configuration operation requirement mapping table is as follows:

as shown in fig. 5, the present invention further provides an interactive diagnostic method for fault diagnosis by using the interactive diagnostic system, which includes the following steps:

1. and establishing communication connection between the diagnostic equipment and the vehicle security gateway, and logging in the diagnostic system.

The diagnostic equipment establishes communication connection with a vehicle security gateway through a data conversion box, a user inputs login information through a man-machine interaction module, the diagnostic equipment sends a login request carrying identity information to the security gateway, the security gateway verifies the identity information of the diagnostic equipment, the diagnostic equipment successfully logs in a diagnostic system after verification is successful, and otherwise login is refused. The legality of a user of the diagnosis system is ensured through the authentication process of the security gateway on the diagnosis equipment.

In order to ensure the equivalence of the user authority levels of the diagnosis system, the diagnosis system carries out hierarchical management on the user authority levels, and after a user logs in the diagnosis system, the diagnosis level is selected. When a user needs to perform ordinary diagnosis, the user can directly perform diagnosis operation by selecting conventional diagnosis; when a user needs to perform high-level diagnosis operations such as action test, software upgrading and the like, high-level diagnosis is selected, the security gateway verifies the user permission level, and the high-level diagnosis operation can be performed only when the user has the permission of the high-level diagnosis operation.

2. And the data acquisition module collects fault information recorded by each electric control unit of the vehicle through the security gateway and sends the fault information to the data analysis module.

And each diagnosis operation can be carried out by scanning a fault code DTC whole vehicle system, and fault information recorded by each electric control unit of the vehicle is collected. For example,

1) When the vehicle with the code A1 is subjected to diagnosis operation, the whole vehicle fault information reading and scanning result is as follows:

list of DTCs: p1XXX87, P1XXX35, P1XXX34, P1XXX11, etc.;

2) When the vehicle with the code of A2 is subjected to diagnosis operation, the whole vehicle fault information reading and scanning result is as follows:

list of DTCs: p1XXX87, P1XXX35, P1XXX34, P1XXX14, etc.;

3) When the vehicle with the code A3 is subjected to diagnosis operation, the whole vehicle fault information reading and scanning results are as follows:

list of DTCs: p1XXX87, P1XXX35, P1XXX34, P1XXX14, etc.;

-data accumulation;

degree of similarity

List contact/DTC List larger number value

3. And the data analysis module retrieves historical fault diagnosis records of similar vehicle types in the fault diagnosis database according to the fault information, calculates the fault similarity probability, and sorts the fault diagnosis records according to the fault similarity probability.

The fault diagnosis database stores fault diagnosis records in historical diagnosis processes, including fault reasons, solutions and the like, and is sorted and classified according to the types of the same-vehicle type fault information, the same-controller fault information, the same-vehicle type multiple occurrences and the like.

And performing association weighting on the fault reasons in the fault diagnosis database after each diagnosis process is finished, if the description matching degree of an actual fault reason and a DTC is very high, defining the actual fault reason as a main factor DTC, if the DTC has deviation from the actual fault reason, the DTC is a general association DTC, the main factor DTC has a weighting coefficient of K1, and the general association DTC has a weighting coefficient of K2.

DTC association, phi = factor DTC K1+ association DTC K2

And (3) carrying out statistical compensation measurement and calculation on the frequency of occurrence of the fault and the first mileage time of the occurrence, and weighting K1 by the probability coefficient aiming at the high frequency of occurrence of the fault.

The probability of each fault factor is calculated according to the following formula:

fault factor probability = vehicle model feature + controller feature + factor DTC K1+ associated DTC K2+ mileage occurrence rule feature + frequency occurrence feature

The data analysis module reads a scanning result and a fault phenomenon keyword (a certain system is invalid or a fault lamp is lightened) according to a whole vehicle fault code DTC, retrieves historical fault diagnosis records of the same type of vehicle type in a fault diagnosis database, also comprises historical diagnosis records of the vehicle, and calculates the fault similarity probability by adopting the following formula:

the similarity probability = vehicle type similarity + controller similarity + factor DTC similarity + associated DTC similarity + mileage similarity.

4. And the data analysis module sends the fault diagnosis record with the highest fault similarity probability in the sequence to the logic reasoning module and eliminates the fault diagnosis record from the sequence.

5. And the logic reasoning module analyzes and evolves the pushed historical fault diagnosis record, judges whether the pushed fault reason is an actual fault reason, sends the fault reason and a solution to the man-machine interaction module if the pushed fault reason is the actual fault reason, displays the fault reason and the solution by the man-machine interaction module, and returns to the previous step if the pushed fault reason is not the actual fault reason.

The data analysis module actively pushes historical fault diagnosis records to the logic inference module according to the fault similarity probability, namely, the historical fault diagnosis records with the highest fault similarity probability are pushed firstly, the historical fault diagnosis records comprise fault reasons and solutions, the logic inference module receives the historical fault diagnosis records with the highest similarity probability and implements the solutions, if the faults are eliminated, the pushed fault reasons are determined to be actual fault reasons, otherwise, the data analysis module feeds back non-fault reasons, the data analysis module pushes the historical fault diagnosis records with the second similarity probability, and the like until the actual fault reasons are determined.

And after the actual fault reason is determined, the logic reasoning module sends the fault reason and the solution to the human-computer interaction module, and the human-computer interaction module displays the fault reason and the solution.

6. The log management module records the fault diagnosis record, generates a diagnosis log, performs storage management according to the classification of the special vehicles and the civil vehicles, and updates the fault diagnosis database.

In order to be compatible with the data safety requirements and actual characteristics of a special vehicle and a civil vehicle, a user separates the special vehicle from the civil vehicle when selecting a vehicle type, the vehicle type diagnosis operation for J is started when diagnosing the special vehicle, for example, the vehicle type code J-001, a diagnosis log is associated with an internal database storage area interface through vehicle type diagnosis software APK, all diagnosis data are transmitted and stored in a local EPROM, a first-in first-out principle is followed, and the earliest historical data are erased and covered after a storage space exceeds an upper limit. For civil vehicle models M-001, 002, 003 and the like, independent APK access channels are adopted, and diagnosis logs of all diagnosis operations are stored in another local EPROM through an internal database storage area interface associated with the vehicle model APK, so that physical data isolation is fundamentally carried out with J vehicle models.

And the log management module synchronizes the fault diagnosis record to the fault diagnosis database, and performs reverse verification according to a final diagnosis result, namely, corrects the pushed historical fault diagnosis record according to the matching degree of the pushed historical fault diagnosis record and an actual fault reason. If the similarity probability is matched with the fault diagnosis record pushed by the similarity probability 1, carrying out forward compensation correction% delta t on the fault diagnosis record pushed by the similarity probability 1; if the similarity probability 1 pushes the fault diagnosis record to have a certain correlation with the actual fault reason but the correlation is not strong, taking the reverse reduction probability correction-% delta t; and if the similarity probability 1 is pushed, the fault diagnosis record is hardly associated with the actual fault reason, and the reverse reduction probability correction of-% 2 delta t is taken.

The present invention also provides a computer-readable storage medium, on which a computer program is stored, the computer program implementing all or part of the steps of the above-described interactive diagnosis method when being executed by a processor, wherein the computer-readable storage medium includes various media capable of carrying computer program code, such as a usb disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a Random Access Memory (RAM), and the like.

Example one

The interactive diagnosis method of the invention is applied to diagnose the following faults:

the fault phenomenon is as follows: the instrument displays that the vehicle speed signal is a null value, and the fault alarm lamp of the ABS system is not lighted.

The diagnosis system automatically retrieves the fault information recorded by each electric control unit of the vehicle, and only the instrument records the ABS signal loss fault, and the ABS and the gateway have no fault information record.

Aiming at the information, the system automatically feeds back the following information: the CAN bus network architecture topological graph of the whole vehicle, the ABS controller signal list and each signal flow graph.

Inputting fault phenomenon keywords by a user: the instrument has no vehicle speed value display and no ABS fault alarm lamp is lighted; the other information is displayed normally. Selecting fault phenomenon occurrence characteristics: after long-term use, the disease happens occasionally and continuously in rainy days.

The system analyzes a vehicle speed message from the instrument to the ABS, the vehicle speed message is forwarded to the instrument through the vehicle body network segment gateway, the instrument analyzes the vehicle speed message, and if the vehicle speed message is not displayed, the vehicle speed message is prioritized according to a connection ABS bus wire harness, a gateway wire harness, an ABS controller, the instrument and a gateway controller.

The cause of the failure is determined by stepwise deduction: the ABS alarm lamp is not lighted, and the problem of the ABS controller is preliminarily solved; clicking the data flow for query, wherein the ABS vehicle speed data flow is normal; testing the speedometer of the instrument through virtual actions, and normally feeding back the speedometer of the instrument; the fault reappears, the data monitoring of a vehicle body CAN bus is clicked, and the lack of a vehicle speed message is found; the problem of connection of the wire harness from the gateway to the instrument end is judged, and through inspection, the joint of the CAN bus of the gateway is cracked at the root of the wire harness and is accompanied with obvious water stain.

After the wire is repaired, the fault disappears immediately.

It will be understood by those skilled in the art that the foregoing is only a preferred embodiment of the present invention, and is not intended to limit the invention, and that any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims

1. An interactive diagnosis system is characterized by comprising diagnosis equipment, a data conversion box, a safety gateway, an electric control unit and a diagnosis background server, wherein the diagnosis equipment is in communication connection with the data conversion box, the data conversion box is in communication connection with the safety gateway, the safety gateway is connected with the electric control unit, and the diagnosis background server is in communication connection with the diagnosis equipment;

the diagnostic equipment comprises a data acquisition module, a data analysis module, a logic reasoning module, a man-machine interaction module and a log management module, wherein,

the data analysis module is used for retrieving historical fault diagnosis records of similar vehicle types in the fault diagnosis database according to the fault information, calculating the fault similarity probability, sequencing the fault diagnosis records according to the fault similarity probability and sequentially pushing the fault diagnosis records to the logic reasoning module;

the logic reasoning module is used for analyzing and evolving the pushed fault diagnosis record until an actual fault reason is determined, and sending the fault reason and a solution to the man-machine interaction module;

2. The interactive diagnostic system of claim 1, wherein: the log management module comprises a special vehicle log storage unit and a civil vehicle log storage unit, the special vehicle log storage unit is provided with a local data interface, and the special vehicle log storage unit is used for storing diagnostic logs of the diagnostic operations of the special vehicle; the civil log storage unit is in communication connection with the diagnosis background server and is used for storing diagnosis logs of civil vehicle diagnosis operation.

3. The interactive diagnostic system of claim 1, wherein: the diagnostic equipment further comprises a software checking and matching module used for checking and matching the software version of the automobile-associated electronic control unit.

4. The interactive diagnostic system of any one of claims 1-3, wherein: the diagnosis equipment further comprises an offline diagnosis configuration module, wherein the offline diagnosis configuration module is in communication connection with the MES system of the production enterprise and is used for performing association management on configuration contents and vehicle types and writing configuration information according to offline configuration requirements of the associated vehicle types.

5. An interactive diagnostic method implemented by applying the interactive diagnostic system of any one of claims 1 to 4, the method comprising the steps of:

s200: the data acquisition module collects fault information recorded by each electric control unit of the vehicle through the security gateway and sends the fault information to the data analysis module;

s300: the data analysis module retrieves historical fault diagnosis records of similar vehicle types in the fault diagnosis database according to the fault information, calculates fault similarity probability, and sorts the historical fault diagnosis records according to the fault similarity probability;

s500: the logic reasoning module analyzes and evolves the pushed historical fault diagnosis record, judges whether the pushed fault reason is an actual fault reason, if so, sends the fault reason and a solution to the man-machine interaction module, and if not, returns to S400;

6. The interactive diagnostic method of claim 5, wherein: s100, the process of logging in the diagnosis system further comprises the steps that the security gateway verifies the identity information of the diagnosis equipment, and the diagnosis system is started after the verification is successful.

7. The interactive diagnostic method of claim 6, wherein: s100, after entering a diagnosis system, selecting a diagnosis level, wherein the diagnosis level is a routine diagnosis or a high-level diagnosis; starting a routine diagnostic operation when a routine diagnosis is selected; and when the advanced diagnosis is selected, verifying the user use authority level, and starting advanced diagnosis operation if the verification is successful.

8. The interactive diagnostic method of claim 5, wherein: s300, the fault similarity probability is calculated by adopting the following calculation formula:

the similarity probability = vehicle type similarity + controller similarity + essential DTC similarity + associated DTC similarity + mileage similarity.

9. The interactive diagnostic method of claim 5, wherein: s600, updating the fault diagnosis database comprises correcting the pushed historical fault diagnosis records according to the matching degree of the pushed historical fault diagnosis records and the actual fault reasons.

10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which, when executed by a processor, implements the interactive diagnostic method of any one of claims 5-9.