CN114911982A - Vehicle fault early warning method and device, terminal equipment and storage medium - Google Patents
Vehicle fault early warning method and device, terminal equipment and storage medium Download PDFInfo
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Abstract
The invention discloses a vehicle fault early warning method, a vehicle fault early warning device, terminal equipment and a storage medium, wherein the method comprises the following steps: acquiring historical fault data of a target vehicle; constructing a fault database based on fault mode impact analysis (FMEA) according to the historical fault data; collecting fault data of the target vehicle in real time, and identifying the fault data by combining the fault database to obtain fault failure degree; judging whether the failure degree of the fault exceeds a first preset threshold value, if so, immediately carrying out fault processing, and entering a safe state; if not, carrying out fault early warning, and prompting a corresponding operation suggestion by voice. The method and the device can effectively improve the accuracy of vehicle fault identification, and further provide a reasonable emergency treatment scheme for a user so as to reduce the safety risk caused by fault emergency misoperation of the user.
Description
Technical Field
The invention relates to the technical field of fault diagnosis, in particular to a vehicle fault early warning method, a vehicle fault early warning device, terminal equipment and a storage medium.
Background
With the rapid development of science and technology, the industrial level of automobiles is continuously improved, automobiles increasingly enter thousands of households, and great convenience is brought to the lives of people. As the number of vehicles is more and more, the road condition is more and more complex, and the early warning of the vehicle fault in time becomes a guarantee for the safe driving of the automobile.
At present, after a problem occurs in a vehicle, a user sometimes diagnoses the fault according to experience before sending the vehicle to an after-sales service station for detection and maintenance, and takes relevant measures to eliminate the fault. However, due to the fact that the vehicle has a fault, the user cannot accurately diagnose the fault, and the self-operation misoperation may bring a more serious safety risk.
Disclosure of Invention
The invention aims to provide a vehicle fault early warning method, a vehicle fault early warning device, terminal equipment and a storage medium, which can effectively improve the accuracy of vehicle fault identification and further provide a reasonable emergency processing scheme so as to reduce the safety risk brought by user fault emergency misoperation.
In order to achieve the above object, an embodiment of the present invention provides a vehicle fault early warning method, including:
acquiring historical fault data of a target vehicle, wherein the historical fault data at least comprises a fault reason, a fault type and a fault grade;
according to the historical fault data;
collecting fault data of the target vehicle in real time, and identifying the fault data by combining the fault database to obtain fault failure degree;
judging whether the failure degree of the fault exceeds a first preset threshold value, if so, immediately carrying out fault processing and entering a safe state; if not, carrying out fault early warning, and prompting a corresponding operation suggestion by voice.
As an improvement of the above scheme, the constructing a failure database based on failure mode impact analysis FMEA according to the historical failure data specifically includes:
establishing a system structure tree based on failure mode impact analysis (FMEA) according to the historical failure data, and determining a failure data source through the system structure tree;
classifying the historical fault data according to the fault data source and the fault failure keywords to obtain corresponding fault modes;
and matching the fault modes to corresponding nodes to obtain a corresponding fault database.
As an improvement of the above scheme, after the performing fault early warning and the voice prompting of the corresponding operation suggestion, the method further includes:
continuously monitoring the failure degree of the fault;
judging whether the failure degree of the fault exceeds a second preset threshold value or not, and if so, judging that the fault is not improved; if not, the fault is judged to be improved.
As an improvement of the above, after determining that the failure is not improved, the method further includes:
judging whether the failure degree of the fault exceeds a third preset threshold value, if so, judging that the fault is further deteriorated, and executing a corresponding protection mechanism; if not, the fault is judged not to be deteriorated temporarily, and the user is prompted by voice to enter a safe driving state of the current fault as soon as possible so as to avoid further deterioration of the fault.
As an improvement of the above, after the determining that the fault is improved, the method further includes:
judging whether the fault still exists; if yes, continuing to perform fault early warning, and prompting a corresponding operation suggestion by voice; if not, canceling the fault early warning.
As an improvement of the above scheme, the preset threshold is a time threshold or a frequency threshold.
The embodiment of the invention also provides a vehicle fault early warning device, which comprises:
the acquisition module is used for acquiring historical fault data of the target vehicle;
the building module is used for building a fault database based on fault mode impact analysis (FMEA) according to the historical fault data;
the identification module is used for acquiring fault data of the target vehicle in real time and identifying the fault data by combining the fault database to obtain the fault failure degree;
the judging module is used for judging whether the failure degree of the fault exceeds a first preset threshold value or not, if so, immediately carrying out fault processing and entering a safe state; if not, carrying out fault early warning, and prompting a corresponding operation suggestion by voice.
Further, the building module specifically includes:
the establishing unit is used for establishing a system structure tree based on failure mode impact analysis (FMEA) according to the historical failure data and determining a failure data source through the system structure tree;
the classification unit is used for classifying the historical fault data according to the fault data source and the fault failure keywords to obtain a corresponding fault mode;
and the matching unit is used for matching the fault modes to corresponding nodes to obtain a corresponding fault database.
The embodiment of the present invention further provides a terminal device, which includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, the vehicle fault early warning method described in any one of the above is implemented.
The embodiment of the invention also provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program runs, the device where the computer-readable storage medium is located is controlled to execute any one of the above vehicle fault early warning methods.
Compared with the prior art, the vehicle fault early warning method, the vehicle fault early warning device, the terminal equipment and the storage medium provided by the embodiment of the invention have the beneficial effects that: obtaining historical fault data of a target vehicle; constructing a fault database based on fault mode impact analysis (FMEA) according to the historical fault data; collecting fault data of the target vehicle in real time, and identifying the fault data by combining the fault database to obtain fault failure degree; judging whether the failure degree of the fault exceeds a first preset threshold value, if so, immediately carrying out fault processing and entering a safe state; if not, carrying out fault early warning, and prompting a corresponding operation suggestion by voice. The embodiment of the invention can effectively improve the accuracy of vehicle fault identification, and further provides a reasonable emergency treatment scheme so as to reduce the safety risk caused by user fault emergency misoperation.
Drawings
FIG. 1 is a schematic flow chart diagram illustrating a preferred embodiment of a vehicle fault warning method provided by the present invention;
fig. 2 is a schematic structural diagram of a preferred embodiment of a vehicle fault warning device provided by the invention;
fig. 3 is a schematic structural diagram of a preferred embodiment of a terminal device provided in the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, fig. 1 is a schematic flow chart of a vehicle fault warning method according to a preferred embodiment of the present invention. The vehicle fault early warning method comprises the following steps:
s1, acquiring historical fault data of the target vehicle;
s2, constructing a fault database based on fault mode impact analysis (FMEA) according to the historical fault data;
s3, collecting fault data of the target vehicle in real time, and identifying the fault data by combining the fault database to obtain fault failure degree;
s4, judging whether the failure degree of the fault exceeds a first preset threshold value, if so, immediately processing the fault and entering a safe state; if not, carrying out fault early warning, and prompting a corresponding operation suggestion by voice.
Specifically, the present embodiment obtains historical failure data of the target vehicle, where the historical failure data at least includes a failure cause, a failure type, and a failure level. And constructing a fault database based on fault mode impact analysis (FMEA) according to the acquired historical fault data. The FMEA is a generalized analysis method for analyzing all possible failure modes of each product in a system and all possible influences on the system caused by the failure modes, and classifying the failure modes according to the severity, the detection difficulty and the occurrence frequency of each failure mode. And acquiring fault data of the target vehicle in real time, and identifying the acquired fault data by combining a pre-constructed fault database to obtain the fault failure degree. Judging whether the failure degree of the fault exceeds a first preset threshold value, if so, indicating that the function is failed immediately due to the fault, and needing to perform fault processing immediately to enter a safe state; if not, the function is immediately disabled due to the failure, the failure early warning is carried out, and a corresponding operation suggestion is prompted to the user through voice.
According to the method and the device, the fault database based on the FMEA is constructed, fault data are identified according to the fault database, accuracy of vehicle fault identification can be effectively improved, a reasonable emergency processing scheme is provided for a user, and safety risks caused by fault emergency misoperation of the user are reduced.
In another preferred embodiment, the S2, according to the historical failure data, constructing a failure database based on failure mode impact analysis FMEA, specifically including:
s201, establishing a system structure tree based on failure mode impact analysis (FMEA) according to the historical failure data, and determining a failure data source through the system structure tree;
s202, classifying the historical fault data according to the fault data source and the fault failure keywords to obtain a corresponding fault mode;
s203, matching the fault modes to corresponding nodes to obtain corresponding fault databases.
Specifically, when the fault database based on the failure mode impact analysis FMEA is constructed according to the historical fault data, a system structure tree based on the failure mode impact analysis FMEA is firstly established according to the fault type in the historical fault data, and a fault data source is determined through the system structure tree. And then, classifying the historical fault data according to the fault data source, the fault reason, the fault grade and the fault failure keywords to obtain a corresponding fault mode. The failure keyword is a keyword determined from historical failure data, for example: the over-temperature region is as follows: general over-temperature, moderate over-temperature, severe over-temperature, and the like. The key word determination principle is as follows: more than 95% of the same fault phenomena can be screened, and omission is avoided as much as possible. The different fault phenomena are not repeated as much as possible. Thus, screening for the same fault is likely to require several keywords to be determined. And finally, matching the fault mode to the corresponding node, and giving a corresponding processing suggestion to obtain a corresponding fault database.
According to the embodiment, the fault database based on the FMEA is constructed, fault data are identified according to the fault database, and the accuracy of vehicle fault identification can be effectively improved.
In another preferred embodiment, after the performing the fault pre-warning and the voice prompting the corresponding operation suggestion, the method further includes:
continuously monitoring the failure degree of the fault;
judging whether the failure degree of the fault exceeds a second preset threshold value or not, and if so, judging that the fault is not improved; if not, the fault is judged to be improved.
Specifically, after the failure degree is judged not to exceed a first preset threshold value, failure early warning is carried out, and corresponding operation suggestions are prompted through voice, the failure degree is continuously monitored, specifically, the failure data of the target vehicle are collected in real time, and the failure data are identified through combining a failure database, so that the failure degree is obtained. Judging whether the failure degree of the fault exceeds a second preset threshold value, if so, judging that the fault is not improved; if not, the fault is judged to be improved. For example, whether the failure degree of the fault exceeds a preset time threshold or a frequency threshold is judged, and if yes, the fault is judged not to be improved; if not, the fault is judged to be improved.
In another preferred embodiment, after determining that the fault is not improved, the method further includes:
judging whether the failure degree of the fault exceeds a third preset threshold value, if so, judging that the fault is further deteriorated, and executing a corresponding protection mechanism; if not, the fault is judged not to be deteriorated temporarily, and the user is prompted by voice to enter a safe driving state of the current fault as soon as possible so as to avoid further deterioration of the fault.
Specifically, after the failure degree exceeds a second preset threshold value and the failure is judged to be not improved, the failure degree is continuously monitored, and specifically, the failure degree is obtained by collecting the failure data of the target vehicle in real time and identifying the failure data by combining a failure database. Further judging whether the failure degree of the fault exceeds a third preset threshold value, if so, judging that the fault is further deteriorated, and executing a corresponding protection mechanism; if not, the fault is judged to be not deteriorated temporarily, but the fault is not improved for a long time, intelligent interaction with a user is needed at the moment, the user is prompted to enter a safe driving state of the current fault as soon as possible through voice, further deterioration of the fault is avoided, and the fault is guaranteed not to be deteriorated to an unrecoverable degree, so that safety risks of the user and a vehicle are caused. For example: the power supply failure of a low-voltage system in a travelling crane cannot be inhibited for a long time, and the low-voltage power supply failure of all ECUs can be worsened, so that the power of a vehicle is lost. At the moment, before the low-voltage power supply failure deteriorates to the key ECU low-voltage failure, the intelligent voice guides the driver to stop by the side quickly and synchronously carry out corresponding load throwing in the time, so that the driver can be guided to enter a safe state before the failure is ensured, and the safety risk of users and vehicles is avoided.
In another preferred embodiment, after the determining that the fault is improved, the method further includes:
judging whether the fault still exists; if yes, continuing to perform fault early warning, and prompting a corresponding operation suggestion by voice; if not, canceling the fault early warning.
Specifically, after the failure degree of the fault does not exceed the second preset threshold value and the fault is judged to be improved, whether the fault still exists is further judged; if yes, continuing to perform fault early warning, and prompting a corresponding operation suggestion by voice; if not, canceling the fault early warning.
Preferably, the preset threshold is a time threshold or a frequency threshold.
It should be noted that the purpose of determining whether the failure degree of the fault exceeds the preset threshold is to determine the severity of the fault, and therefore the preset threshold may be set as a time threshold or a frequency threshold. For example: whether the failure continuous triggering exceeds a certain time or whether the failure threshold value of the failure identification becomes more severe or whether the failure is frequently triggered for a plurality of times or the like is judged.
Correspondingly, the invention also provides a vehicle fault early warning device which can realize all the processes of the vehicle fault early warning method in the embodiment.
Referring to fig. 2, fig. 2 is a schematic structural diagram of a vehicle failure early warning device according to a preferred embodiment of the present invention. The vehicle fault early warning device includes:
an obtaining module 201, configured to obtain historical fault data of a target vehicle;
the building module 202 is used for building a fault database based on fault mode impact analysis (FMEA) according to the historical fault data;
the identification module 203 is used for acquiring fault data of the target vehicle in real time, and identifying the fault data by combining the fault database to obtain a fault failure degree;
a judging module 204, configured to judge whether the failure degree of the fault exceeds a first preset threshold, and if so, immediately perform fault processing and enter a safe state; if not, carrying out fault early warning, and prompting a corresponding operation suggestion by voice.
Preferably, the building module 202 specifically includes:
the establishing unit 212 is configured to establish a system structure tree based on failure mode impact analysis FMEA according to the historical failure data, and determine a failure data source through the system structure tree;
the classification unit 222 is configured to classify the historical fault data according to the fault data source and the fault failure keyword to obtain a corresponding fault mode;
and a matching unit 232, configured to match the failure mode to a corresponding node, so as to obtain a corresponding failure database.
Preferably, after the fault early warning is performed and the corresponding operation suggestion is prompted by voice, the method further includes:
continuously monitoring the fault failure degree;
judging whether the failure degree of the fault exceeds a second preset threshold value or not, and if so, judging that the fault is not improved; if not, the fault is judged to be improved.
Preferably, after determining that the fault is not improved, the method further includes:
judging whether the failure degree of the fault exceeds a third preset threshold value, if so, judging that the fault is further deteriorated, and executing a corresponding protection mechanism; if not, the fault is judged not to be deteriorated temporarily, and the user is prompted by voice to enter a safe driving state of the current fault as soon as possible so as to avoid further deterioration of the fault.
Preferably, after the determining that the fault is improved, the method further includes:
judging whether the fault still exists; if yes, continuing to perform fault early warning, and prompting a corresponding operation suggestion by voice; if not, canceling the fault early warning.
Preferably, the preset threshold is a time threshold or a frequency threshold.
In a specific implementation, the working principle, the control flow and the technical effect of the vehicle fault early warning device provided in the embodiment of the present invention are the same as those of the vehicle fault early warning method in the above embodiment, and are not described herein again.
Referring to fig. 3, fig. 3 is a schematic structural diagram of a terminal device according to a preferred embodiment of the present invention. The terminal device comprises a processor 301, a memory 302 and a computer program stored in the memory 302 and configured to be executed by the processor 301, wherein the processor 301 implements the vehicle fault early warning method according to any one of the embodiments when executing the computer program.
Preferably, the computer program may be divided into one or more modules/units (e.g., computer program 1, computer program 2, … …) that are stored in the memory 302 and executed by the processor 301 to implement the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used for describing the execution process of the computer program in the terminal device.
The Processor 301 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, a discrete hardware component, etc., the general purpose Processor may be a microprocessor, or the Processor 301 may be any conventional Processor, the Processor 301 is a control center of the terminal device, and various interfaces and lines are used to connect various parts of the terminal device.
The memory 302 mainly includes a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function, and the like, and the data storage area may store related data and the like. In addition, the memory 302 may be a high speed random access memory, a non-volatile memory such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash Card (Flash Card), and the like, or the memory 302 may be other volatile solid state memory devices.
It should be noted that the terminal device may include, but is not limited to, a processor and a memory, and those skilled in the art will understand that the structural diagram of fig. 3 is only an example of the terminal device and does not constitute a limitation of the terminal device, and may include more or less components than those shown, or combine some components, or different components.
The embodiment of the invention also provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program runs, the device where the computer-readable storage medium is located is controlled to execute the vehicle fault early warning method described in any one of the above embodiments.
The embodiment of the invention provides a vehicle fault early warning method, a vehicle fault early warning device, terminal equipment and a storage medium, wherein historical fault data of a target vehicle are obtained, and the historical fault data at least comprises a fault reason, a fault type and a fault grade; constructing a fault database based on fault mode impact analysis (FMEA) according to the historical fault data; collecting fault data of the target vehicle in real time, and identifying the fault data by combining the fault database to obtain fault failure degree; judging whether the failure degree of the fault exceeds a first preset threshold value, if so, immediately carrying out fault processing and entering a safe state; if not, carrying out fault early warning, and prompting a corresponding operation suggestion by voice. The embodiment of the invention can effectively improve the accuracy of vehicle fault identification, and further provides a reasonable emergency treatment scheme to reduce the safety risk brought by the fault emergency misoperation of a user.
It should be noted that the above-described system embodiments are merely illustrative, where the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. In addition, in the drawings of the embodiment of the system provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, and may be specifically implemented as one or more communication buses or signal lines. One of ordinary skill in the art can understand and implement it without inventive effort.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
Claims (10)
1. A vehicle fault early warning method is characterized by comprising the following steps:
acquiring historical fault data of a target vehicle;
constructing a fault database based on fault mode impact analysis (FMEA) according to the historical fault data;
collecting fault data of the target vehicle in real time, and identifying the fault data by combining the fault database to obtain fault failure degree;
judging whether the failure degree of the fault exceeds a first preset threshold value, if so, immediately carrying out fault processing and entering a safe state; if not, fault early warning is carried out, and corresponding operation suggestions are prompted through voice.
2. The vehicle fault early warning method according to claim 1, wherein the constructing of the fault database based on the failure mode impact analysis (FMEA) according to the historical fault data specifically comprises:
establishing a system structure tree based on failure mode impact analysis (FMEA) according to the historical failure data, and determining a failure data source through the system structure tree;
classifying the historical fault data according to the fault data source and the fault failure keywords to obtain corresponding fault modes;
and matching the fault modes to corresponding nodes to obtain a corresponding fault database.
3. The vehicle fault pre-warning method according to claim 2, wherein after the fault pre-warning is performed and the corresponding operation suggestion is prompted by voice, the method further comprises the following steps:
continuously monitoring the fault failure degree;
judging whether the failure degree of the fault exceeds a second preset threshold value or not, and if so, judging that the fault is not improved; if not, the fault is judged to be improved.
4. The vehicle malfunction early warning method according to claim 3, further comprising, after determining that the malfunction is not improved:
judging whether the failure degree of the fault exceeds a third preset threshold value, if so, judging that the fault is further deteriorated, and executing a corresponding protection mechanism; if not, the fault is judged not to be deteriorated temporarily, and the user is prompted by voice to enter a safe driving state of the current fault as soon as possible so as to avoid further deterioration of the fault.
5. The vehicle failure warning method according to claim 4, wherein after the determination that the failure is improved, further comprising:
judging whether the fault still exists; if yes, continuing to perform fault early warning, and prompting a corresponding operation suggestion by voice; if not, canceling the fault early warning.
6. The vehicle fault early warning method according to claim 5, wherein the preset threshold is a time threshold or a frequency threshold.
7. A vehicle failure early warning device, comprising:
the acquisition module is used for acquiring historical fault data of the target vehicle;
the building module is used for building a fault database based on fault mode impact analysis (FMEA) according to the historical fault data;
the identification module is used for acquiring fault data of the target vehicle in real time and identifying the fault data by combining the fault database to obtain the fault failure degree;
the judging module is used for judging whether the failure degree of the fault exceeds a first preset threshold value or not, if so, immediately carrying out fault processing and entering a safe state; if not, carrying out fault early warning, and prompting a corresponding operation suggestion by voice.
8. The vehicle fault early warning device of claim 7, wherein the building module specifically comprises:
the establishing unit is used for establishing a system structure tree based on failure mode impact analysis (FMEA) according to the historical failure data and determining a failure data source through the system structure tree;
the classification unit is used for classifying the historical fault data according to the fault data source and the fault failure keywords to obtain a corresponding fault mode;
and the matching unit is used for matching the fault modes to corresponding nodes to obtain a corresponding fault database.
9. A terminal device comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the vehicle fault warning method according to any one of claims 1 to 6 when executing the computer program.
10. A computer-readable storage medium, comprising a stored computer program, wherein the computer program, when executed, controls an apparatus in which the computer-readable storage medium is located to perform the vehicle failure warning method according to any one of claims 1 to 6.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117349623A (en) * | 2023-10-25 | 2024-01-05 | 广西财经学院 | System-level fault diagnosis method based on double-population Harris eagle algorithm |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117349623A (en) * | 2023-10-25 | 2024-01-05 | 广西财经学院 | System-level fault diagnosis method based on double-population Harris eagle algorithm |
| CN117349623B (en) * | 2023-10-25 | 2024-04-19 | 广西财经学院 | System-level fault diagnosis method based on double-population Harris eagle algorithm |
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