CN109828857B - Vehicle fault cause positioning method, device, equipment and storage medium - Google Patents
Vehicle fault cause positioning method, device, equipment and storage medium Download PDFInfo
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Abstract
The invention provides a vehicle fault cause positioning method, a vehicle fault cause positioning device, vehicle fault cause positioning equipment and a storage medium. The method comprises the following steps: acquiring at least one fault reason layer corresponding to a first fault event, wherein the fault reason layer comprises at least one fault reason; and determining the root cause of the first fault event according to the prior probability of each fault reason in each fault reason layer corresponding to the first fault event. The embodiment of the invention can greatly improve the safety performance of the vehicle, can reduce the maintenance cost of a vehicle user and has higher real-time performance.
Description
Technical Field
The invention relates to the technical field of intelligent traffic, in particular to a vehicle fault reason positioning method, device, equipment and storage medium.
Background
With the progress of scientific technology, especially the development of automobile manufacturing and information technology, automobiles become the main transportation means at present. During the running of the vehicle, faults are inevitable. Fault localization therefore has a significant impact on vehicle safety and reliability. The purpose of fault cause location is to accurately locate the root cause of the fault through original fault symptoms and a series of tests.
Since the vehicle comprises a large number of functional modules and their subsystems, and the interaction between the various functional modules is performed in a complex manner. It is difficult to locate the root cause of the fault by the fault symptom representation.
Disclosure of Invention
The invention provides a vehicle fault cause positioning method, a vehicle fault cause positioning device, vehicle fault cause positioning equipment and a storage medium, which are used for improving the safety performance of a vehicle and reducing the maintenance cost of a vehicle user.
In a first aspect, the present invention provides a method for locating a cause of a vehicle fault, including:
acquiring at least one fault reason layer corresponding to a first fault event, wherein the fault reason layer comprises at least one fault reason;
and determining the root cause of the first fault event according to the prior probability of each fault reason in each fault reason layer corresponding to the first fault event.
In a second aspect, the present invention provides a vehicle fault cause locating device, including:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring at least one fault reason layer corresponding to a first fault event, and the fault reason layer comprises at least one fault reason;
and the processing module is used for determining the root cause of the first fault event according to the prior probability of each fault cause in each fault cause layer corresponding to the first fault event.
In a third aspect, the present invention provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the computer program implements the method described in any one of the first aspect.
In a fourth aspect, an embodiment of the present invention provides an electronic device, including:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the method of any of the first aspects via execution of the executable instructions.
According to the vehicle fault reason positioning method, device, equipment and storage medium provided by the embodiment of the invention, at least one fault reason layer corresponding to a first fault event is obtained, wherein the fault reason layer comprises at least one fault reason; and determining the root cause of the first fault event according to the prior probability of each fault cause in each fault cause layer corresponding to the first fault event, wherein the vehicle has a fault cause positioning function, so that the safety performance of the vehicle can be greatly improved, the maintenance cost of a vehicle user can be reduced, the use convenience of the vehicle can be greatly improved, and the real-time performance of fault cause positioning is higher.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
Fig. 1 is an application scenario diagram provided in an embodiment of the present invention;
FIG. 2 is a schematic flow chart diagram illustrating a method for locating a cause of a vehicle fault according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a fault analysis chart of an embodiment of a vehicle fault cause locating method provided by the invention;
FIG. 4 is a schematic diagram of a fault analysis chart of another embodiment of the vehicle fault cause locating method provided by the present invention;
FIG. 5 is a schematic structural diagram of an embodiment of a vehicle fault cause locating device provided by the present invention;
fig. 6 is a schematic structural diagram of an embodiment of an electronic device provided in the present invention.
With the foregoing drawings in mind, certain embodiments of the disclosure have been shown and described in more detail below. The drawings and written description are not intended to limit the scope of the disclosed concepts in any way, but rather to illustrate the disclosed concepts to those skilled in the art by reference to specific embodiments.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
The terms "comprising" and "having," and any variations thereof, in the description and claims of this invention and the drawings described herein are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Firstly, the application scene related to the invention is introduced:
the vehicle fault cause positioning method provided by the embodiment of the invention is applied to positioning scenes of vehicle fault causes, such as positioning of vehicle fault causes in an active safe driving scene, so as to improve the safety performance of vehicles. The vehicle is, for example, an autonomous vehicle or a general vehicle.
The purpose of fault cause location is to accurately locate the root cause of the fault through original fault symptoms and a series of tests.
The fault cause location has a significant impact on vehicle safety and reliability. Judging the root cause of the fault through the fault symptom representation is complicated, and the specific reasons are as follows:
the vehicle comprises a huge number of functional modules and subsystems thereof, and the functional modules interact with each other in a complex manner. Moreover, the possible causes of failure symptoms and the number of failure sources observed are numerous, making it very difficult to successfully interpret these failure symptoms and observations.
At present, most of vehicle fault reasons are offline detection, a vehicle fault diagnosis system can only record the symptoms of fault reaction during online running, a professional vehicle engineer analyzes recorded data at the later stage, fault diagnosis equipment is adopted to check each functional module of a vehicle one by one, the root of a fault is searched, and a fault solution is determined. In this method, the real-time performance of fault cause location is poor.
Fig. 1 is an application scenario diagram according to an embodiment of the present invention, and optionally, as shown in fig. 1, the application scenario includes a server 11 and an electronic device 12; the electronic device 12 may be an in-vehicle terminal on a vehicle, or a processor of the vehicle.
The electronic device 12 and the server 11 may be connected via a network, for example, a communication network such as 3G, 4G, or Wireless Fidelity (WIFI).
The method provided by the invention can be realized by the electronic equipment 12 such as a processor executing corresponding software codes, and can also be realized by the electronic equipment 12 executing the corresponding software codes and performing data interaction with the server 11 at the same time, for example, the server executes partial operation to control the electronic equipment to execute the vehicle fault cause positioning method.
The following embodiments are all described with electronic devices as the executing bodies. In the following embodiments, an autonomous vehicle is described as an example.
The technical solution of the present invention will be described in detail below with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
Fig. 2 is a schematic flow chart of an embodiment of a vehicle fault cause positioning method provided by the present invention. As shown in fig. 2, the method provided by this embodiment includes:
Specifically, in practical applications, a vehicle electronic control system of an autonomous vehicle includes a plurality of controllers, functions are complicated, and when a vehicle fails, one fault event may include several layers of fault causes, so during analysis, at least one fault cause layer corresponding to a first fault event is first obtained, where the fault cause layer includes at least one fault cause, and some fault causes of a previous fault cause layer may cause some fault causes of a next fault cause layer, as shown in fig. 3, where the diagram includes: 20 observation nodes O1-O20 and 13 fault cause nodes R1-R13，R1-R13For possible root causes leading to the first failure event, 7 intermediate failure cause nodes I1-I71 first failure event node S1. The first failure event is, for example, no sound, and the observation node may be a failure data observation node corresponding to the failure cause node.
Specifically, as shown in fig. 3, possible failure causes are screened layer by layer according to the prior probability of each failure cause in each layer until the root cause of the first failure event in the last layer is determined.
For example, the possible failure cause is determined as the failure cause with the prior probability greater than a predetermined threshold, such as 80%. Or, the fault cause with the highest prior probability is taken as the possible fault cause.
As shown in FIG. 3, assume I2、I4、I6For the fault cause included in the fault cause layer 1, I1、I3、I5、I7For the fault cause included in the fault cause layer 2, R1-R13For the fault cause included in the fault cause layer 3, I2、I4、I6I of nodes with medium prior probability greater than 80%6，I5、I7The nodes with the medium prior probability of more than 80 percent are I7，R10-R13The node with the middle prior probability of more than 80% is R12、R13Or selecting the node with the highest a priori probability as the root cause for the first failure event, e.g. R13。
In the method of the embodiment, at least one fault reason layer corresponding to a first fault event is obtained, wherein the fault reason layer comprises at least one fault reason; and determining the root cause of the first fault event according to the prior probability of each fault cause in each fault cause layer corresponding to the first fault event, wherein the vehicle has a fault cause positioning function, so that the safety performance of the vehicle can be greatly improved, the maintenance cost of a vehicle user can be reduced, the use convenience of the vehicle can be greatly improved, and the real-time performance of fault cause positioning is higher.
On the basis of the foregoing embodiment, optionally, step 202 may specifically be implemented in the following manner:
if the prior probability of the fault reason in the Nth fault reason layer is larger than a preset threshold value, screening the fault reason corresponding to the first fault event in the Nth-1 th fault reason layer according to the fault reason until a root cause causing the first fault event is determined; n is an integer greater than 1.
Specifically, as shown in fig. 3, possible failure causes are screened layer by layer according to the prior probability of each failure cause in each layer until the root cause causing the first failure event in the last layer is determined.
According to the prior probability of the fault reason in the first layer fault reason layer corresponding to the first fault event, if the first layer (for example, I)2、I4、I6) If the prior probability of a certain fault reason is greater than a preset threshold value, screening a previous fault reason layer (namely a second fault reason layer (for example, I)) according to the fault reason5、I7) In the first layer), and so on until the root cause of the first failure event in the last layer is determined.
The fault causes can be screened according to the condition that the prior probability is greater than a preset threshold value, or according to the first fault causes with the maximum prior probability.
On the basis of the above embodiment, further, the following operations may be performed before step 202:
in one implementation:
and determining the prior probability of each fault reason in each fault reason layer corresponding to the first fault event according to the first posterior probability of each fault reason in each fault reason layer under the condition that the first fault event occurs.
Specifically, since the first posterior probability can be obtained by the following formula:
wherein S is1Is a first failure event, R1As a cause of failure that may lead to a first failure event. The first posterior probability is the failure reason R under the condition that the first failure event occurs1The posterior conditional probability of (a).
Therefore, it is thereforeCause of failure R1The prior probability of (c) can be calculated by:
suppose if the failure cause R1If this happens, then a first failure event S must result1This occurs. Therefore:
P(R1)＝P(R1/S1)·P(S1)
wherein, P (S)1) Can be understood as a scale factor when P (S) is known1) When it occurs, the probability is 1.
Further, the first posterior probability of each fault reason in each fault reason layer under the condition of the occurrence of the first fault event can be determined according to the pre-acquired historical fault data of the first fault event.
In particular, the first posterior probability P (R)1/S1) May be estimated from historical fault data, which may include, among other things, the probability of the cause of the fault causing the first fault event. Further, historical fault data may be analyzed based on expert experience to obtain a first posterior probability P (R)1/S1)。
Therefore, the failure cause R can be calculated1A priori probability of.
In another implementation:
if the first fault event and the second fault event occur simultaneously, determining the prior probability of each fault reason in each fault reason layer corresponding to the first fault event according to the second posterior probability of each fault reason in each fault reason layer under the condition that the first fault event occurs and the third posterior probability of the first fault event; the second failure event includes at least one failure event.
Specifically, in practical applications, a plurality of fault events may occur simultaneously when a vehicle fails, and each fault event is not independent.
When more than one fault event occurs, the ratioIf four fault events are detected, the first fault event S is respectively detected2Second failure event S1、S3、S4. Each S-fault event may be internally associated with one of the events shown in fig. 3 and may be analyzed separately. For a total event C, as shown in FIG. 4, a first failure event S2And a second failure event S1There are two common root causes CR1And CR2. Second failure event S1Second failure event S3And a second failure event S4Share a common root cause CR3. Each fault event may be analyzed for a separate fault cause with reference to the previous embodiments.
Further, R is a first failure event S2Individual causes of failure. Due to the first failure event S2And a second failure event S1Containing the same root cause CR1And CR2First failure event S1Second failure event S3And a second failure event S4Containing the same root cause CR3As shown in fig. 4.
All fault events C are calculated as follows:
C＝S1+S2+S3+S4-CR1-CR2-CR3
root cause R is simply the first failure event S2Is caused by a failure, so
P(R)＝P(R/S2)·P(S2)
First failure event S2In event C, so
P(S2)＝P(S2/C)·P(C)
Substituting the above formula to obtain:
P(R)＝P(R/S2)·P(S2/C)·P(C)
imagining P (C) as a proportionality coefficient to obtain
P(R)＝P(R/S2)·P(S2/C)
Thus obtaining a priori probabilities of failure causes for a number of associated failure events. Wherein, P (R/S)2) Is the first troubleSecond posterior probability of failure cause R in case of occurrence of piece, P (S)2and/C) is a third posterior probability of the first fault event, i.e. the posterior conditional probability of the first fault event if the first fault event and the second fault event occur simultaneously.
Optionally, the second posterior probability of each fault cause in each fault cause layer when the first fault event occurs may be determined according to the pre-obtained historical fault data of the first fault event and the second fault event.
Specifically, the second posterior probability P (R/S)2) May be estimated from historical fault data, which may include, among other things, the probability of the cause of the fault causing the first fault event. Further, historical fault data can be analyzed according to expert experience to obtain a second posterior probability P (R/S)2)。
Optionally, the third posterior probability of the first fault event when the first fault event and the second fault event occur simultaneously may be determined according to the pre-obtained historical fault data of the first fault event and the second fault event.
Specifically, the third posterior probability P (S)2the/C) may be estimated from historical fault data, which may include probabilities of the first and second fault events, and so on. Further, historical fault data can be analyzed according to expert experience to obtain a third posterior probability P (S)2/C)。
In this embodiment, through continuous iteration, the priority generated by the fault cause is determined according to the prior probability, and the greater the prior probability is, the higher the priority of the fault cause is, that is, the more likely the first fault event is caused by the fault cause, so that fault cause positioning can be completed quickly. According to the scheme of the embodiment, online fault reason positioning can be carried out, and when the occurrence state of the fault event is continuously updated, the positioning strategy can be adjusted in real time according to the state of the fault event until the fault reason can be positioned.
Further, the method of this embodiment may further include the following steps:
generating indication information for instructing a processor of the vehicle to perform a repair operation according to the root cause;
and if the first fault event is detected to be not repaired after the preset time length, sending fault alarm information for reminding a user to carry out fault troubleshooting.
Specifically, after the failure cause is analyzed, indication information can be generated for indicating the processor to adopt corresponding repair operation, the first failure event is finally solved, and if the failure cause cannot be eliminated, failure alarm failure information can be sent out to inform a vehicle user to ask a professional engineer to check the vehicle. The failure problem solving cost in the use of the vehicle is reduced, and the running safety of the vehicle is improved.
The method of the embodiment can realize real-time online fault reason positioning of the complex control system of the automatic driving vehicle, particularly realize fault reason positioning under the condition that multiple fault events or multiple fault events occur simultaneously due to one fault reason in the complex control system of the vehicle, greatly improve the safety performance of the automatic driving vehicle, reduce the maintenance cost of a vehicle user, realize self-repairing and fault reason positioning functions of the vehicle, greatly improve the use convenience of the vehicle, and ensure that a vehicle user without professional knowledge can also have the using and maintaining capabilities of the vehicle. Therefore, the vehicle performance and the maintenance efficiency can be greatly improved, and the cost is reduced.
Fig. 5 is a structural diagram of an embodiment of a vehicle fault cause positioning device provided by the present invention, and as shown in fig. 5, the vehicle fault cause positioning device of the present embodiment includes:
an obtaining module 501, configured to obtain at least one fault cause layer corresponding to a first fault event, where the fault cause layer includes at least one fault cause;
a processing module 502, configured to determine a root cause causing the first failure event according to a prior probability of each failure cause in each failure cause layer corresponding to the first failure event.
Optionally, the processing module 502 is specifically configured to execute:
and if the prior probability of the fault reason in the Nth fault reason layer is greater than a preset threshold value, screening the fault reason corresponding to the first fault event in the (N-1) th fault reason layer according to the fault reason until the root cause of the first fault event is determined.
Optionally, the processing module 502 is further configured to:
and determining the prior probability of each fault reason in each fault reason layer corresponding to the first fault event according to the first posterior probability of each fault reason in each fault reason layer under the condition that the first fault event occurs.
Optionally, the processing module 502 is further configured to:
if the first fault event and the second fault event occur simultaneously, determining the prior probability of each fault reason in each fault reason layer corresponding to the first fault event according to the second posterior probability of each fault reason in each fault reason layer under the condition that the first fault event occurs and the third posterior probability of the first fault event; the second failure event includes at least one failure event.
Optionally, the processing module 502 is further configured to:
and determining the first posterior probability of each fault reason in each fault reason layer under the condition of the occurrence of the first fault event according to the pre-acquired historical fault data of the first fault event.
Optionally, the processing module 502 is further configured to:
and determining a second posterior probability of each fault reason in each fault reason layer under the condition of the occurrence of the first fault event according to the pre-acquired historical fault data of the first fault event and the second fault event.
Optionally, the processing module 502 is further configured to:
and determining a third posterior probability of the first fault event under the condition that the first fault event and the second fault event occur simultaneously according to the pre-acquired historical fault data of the first fault event and the second fault event.
Optionally, the processing module 502 is further configured to:
generating indication information for indicating a processor of the vehicle to perform a repair operation according to the root cause;
and if the first fault event is detected to be not repaired after the preset time, sending fault alarm information for reminding a user to carry out fault troubleshooting.
The apparatus of this embodiment may be configured to implement the technical solutions of the above method embodiments, and the implementation principles and technical effects are similar, which are not described herein again.
Fig. 6 is a structural diagram of an embodiment of an electronic device provided in the present invention, and as shown in fig. 6, the electronic device includes:
a processor 601, and a memory 602 for storing executable instructions for the processor 601.
Optionally, the method may further include: a communication interface 603 for communicating with other devices.
The above components may communicate over one or more buses.
The processor 601 is configured to execute the corresponding method in the foregoing method embodiment by executing the executable instruction, and the specific implementation process thereof may refer to the foregoing method embodiment, which is not described herein again.
The embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the method in the foregoing method embodiment is implemented.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (9)
1. A vehicle fault cause positioning method is characterized by comprising the following steps:
acquiring at least one fault reason layer corresponding to a first fault event, wherein the fault reason layer comprises at least one fault reason, and the fault reason of a later fault reason layer in the at least one fault reason layer can cause the fault reason of a former fault reason layer;
if a second fault event and the first fault event occur simultaneously, determining the prior probability of each fault reason in each fault reason layer corresponding to the first fault event according to the first posterior probability of each fault reason in each fault reason layer under the condition that the first fault event occurs and the second posterior probability of the first fault event under the condition that the first fault event and the second fault event occur simultaneously;
and determining the root cause of the first fault event layer by layer according to the prior probability of each fault cause in the at least one fault cause layer and the sequence from the previous fault cause layer to the next fault cause layer.
2. The method of claim 1, wherein determining root causes causing the first fault event layer by layer in order from a previous fault cause layer to a subsequent fault cause layer based on a prior probability of each fault cause in the at least one fault cause layer comprises:
if the fault reason with the fault reason prior probability larger than the preset threshold exists in the Nth fault reason layer, screening the fault reason corresponding to the first fault event in the (N + 1) th fault reason layer according to the fault reason larger than the preset threshold until the root cause of the first fault event is determined; the N +1 th failure cause layer is a failure cause layer subsequent to the nth failure cause layer.
3. The method according to claim 1 or 2, wherein the determining, layer by layer, the root cause leading to the first failure event according to the prior probability of each failure cause in the at least one failure cause layer from a previous failure cause layer to a next failure cause layer, further comprises:
if the first fault event occurs independently, determining the prior probability of each fault reason in each fault reason layer corresponding to the first fault event according to the third posterior probability of each fault reason in each fault reason layer under the condition that the first fault event occurs.
4. The method of claim 3, wherein before determining the prior probability of each failure cause in each failure cause layer corresponding to the first failure event, the method further comprises:
and determining the third posterior probability according to the pre-acquired historical fault data of the first fault event.
5. The method according to claim 1, wherein before determining the prior probability of each fault cause in each fault cause layer corresponding to the first fault event, the method further comprises:
and determining a second posterior probability of the first fault event under the condition that the first fault event and the second fault event occur simultaneously according to the pre-acquired historical fault data of the first fault event and the second fault event.
6. The method of claim 1 or 2, wherein after determining the root cause causing the first fault event layer by layer in an order from a previous fault cause layer to a subsequent fault cause layer, further comprising:
generating indication information for indicating a processor of the vehicle to perform a repair operation according to the root cause;
and if the first fault event is detected to be not repaired after the preset time, sending fault alarm information for reminding a user to carry out fault troubleshooting.
7. A vehicle fault cause locating device, comprising:
an obtaining module, configured to obtain at least one fault cause layer corresponding to a first fault event, where the fault cause layer includes at least one fault cause, and a fault cause of a next fault cause layer in the at least one fault cause layer may cause a fault cause of a previous fault cause layer;
a processing module, configured to determine, if a second fault event and the first fault event occur simultaneously, prior probabilities of fault reasons in fault reason layers corresponding to the first fault event according to a first posterior probability of the fault reason layers when the first fault event occurs and a second posterior probability of the first fault event when the first fault event and the second fault event occur simultaneously;
and determining the root cause of the first fault event layer by layer according to the prior probability of each fault cause in the at least one fault cause layer and the sequence from the previous fault cause layer to the next fault cause layer.
8. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method of any one of claims 1-6.
9. An electronic device, comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the method of any of claims 1-6 via execution of the executable instructions.
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