CN114889627A - Fault solving method and system suitable for advanced driving assistance system and vehicle - Google Patents
Fault solving method and system suitable for advanced driving assistance system and vehicle Download PDFInfo
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- 238000004458 analytical method Methods 0.000 claims description 6
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/02—Ensuring safety in case of control system failures, e.g. by diagnosing, circumventing or fixing failures
- B60W50/0205—Diagnosing or detecting failures; Failure detection models
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/02—Ensuring safety in case of control system failures, e.g. by diagnosing, circumventing or fixing failures
- B60W50/0225—Failure correction strategy
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Abstract
The application discloses a fault solving method suitable for an advanced driving assistance system, which comprises the following steps: acquiring fault definition data and corresponding solution strategy data; acquiring fault data; comparing the fault data with the fault definition data and generating a comparison result; acquiring fault type data according to the comparison result; and executing the corresponding solution strategy according to the fault type data. Compared with the prior art, the method has the following beneficial effects: the method refines the labor division and development processes of a design stage and a development stage through a fault solution method. And the distributed faults are planned and processed comprehensively, so that the system is safer and is convenient to manage.
Description
Technical Field
The application relates to the field of automatic driving of vehicles, in particular to a fault solving method and system for a vehicle suitable for an advanced driving assistance system and the vehicle.
Background
With the rise of the intelligent Driving field, the development of the technology and the iteration of software and hardware, the performance of an ADAS (Advanced Driving Assistance System) domain controller is greatly improved, and meanwhile, the System is more and more complex. Aiming at a system which is becoming more complex, how to guarantee the health state of the system, how to design a safety mechanism to enable the generation of faults to be controlled to enable the influence to be minimized, how to make the dimension measurement of the faults and the like are all problems to be faced by people.
The traditional diagnosis technology has the problems that the applicable scene is offline processing after fault generation, and the scene is later problem investigation and positioning. From the functional safety point of view, the generation of a failure is to be handled efficiently within FTTI (fault tolerant time interval). For a complex intelligent driving system, a fault handling scheme is urgently needed.
Disclosure of Invention
The main object of the present application is to provide a fault solution method suitable for an advanced driving assistance system, including:
acquiring fault definition data and corresponding solution strategy data;
acquiring fault data;
comparing the fault data with the fault definition data and generating a comparison result;
acquiring fault type data according to the comparison result;
and executing a corresponding solution strategy according to the fault type data.
Optionally, the comparing the fault data with the fault definition data, and the generating the comparison result includes:
analyzing the fault influence according to the fault data and acquiring an analysis result;
acquiring fault frequency data according to the fault data;
and generating a comparison result according to the analysis result and the fault frequency data.
Optionally, the fault solving method applied to the advanced driving assistance system further comprises:
and sending fault data to a cloud server.
Optionally, the fault definition data comprises: fault meaning data, fault cause data, fault severity data and fault frequency information.
Optionally, analyzing the fault impact according to the fault data includes:
it is analyzed whether the fault data affect at least partial functional failure of the advanced driving assistance system.
Optionally, analyzing the fault impact according to the fault data includes:
it is analyzed whether the failure data causes a failure of the advanced driving assistance system.
Optionally, the comparing the fault data with the fault definition data, and the generating the comparison result includes:
and comparing the frequency of the fault data with a first threshold value, and acquiring a first comparison result.
Optionally, obtaining fault type data according to the comparison result, and generating the comparison result includes:
when the frequency is 1, the fault type data is fault jitter elimination type data;
when the frequency is greater than 1 and less than a first threshold value within a first preset time, the fault type data is fault aging type data;
and when the frequency is greater than or equal to the first threshold value within the second preset time, the fault type data is fault latch type data.
The application also discloses fault management system suitable for advanced driving assistance system includes:
a fault definition data acquisition module configured to acquire fault definition data;
a resolution policy acquisition module configured to acquire resolution policy data corresponding to the fault definition data;
a fault data acquisition module configured to acquire fault data;
a comparison module configured to compare the fault data with the fault definition data and generate a comparison result;
the fault type acquisition module is configured to acquire fault type data according to the comparison result;
and the execution module is configured to execute the corresponding solution strategy according to the fault type data.
The application also discloses a fault management system suitable for the advanced driving assistance system, which comprises
A fault detection module configured to detect a system fault;
the fault reporting module is configured to report the system fault;
a fault management module configured to classify a system fault;
and the fault post-processing module is configured to process the system fault according to the classified result of the system fault.
The application also discloses a vehicle, and a fault solving method or a control system which is suitable for the advanced driving assistance system and adopts any one of the above items.
The application also discloses a computer device comprising a memory, a processor and a computer program stored in the memory and executable by the processor, the processor implementing the method of any one of the above when executing the computer program.
The application also discloses a computer-readable storage medium, a non-volatile readable storage medium, having stored therein a computer program which, when executed by a processor, implements the method of any of the above.
Compared with the prior art, the method has the following beneficial effects:
the method refines the labor division and development processes of a design stage and a development stage through a fault solution method. And the distributed faults are planned and processed comprehensively, so that the system is safer and is convenient to manage.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, serve to provide a further understanding of the application and to enable other features, objects, and advantages of the application to be more apparent. The drawings and their description illustrate the embodiments of the invention and do not limit it. In the drawings:
FIG. 1 is a schematic flow diagram of a fault resolution method suitable for use in an advanced driving assistance system according to one embodiment of the present application;
FIG. 2 is a schematic flow diagram of a fault resolution method suitable for use in an advanced driving assistance system according to another embodiment of the present application;
FIG. 3 is a system diagram of a troubleshooting system suitable for use in an advanced driving assistance system according to one embodiment of the present application;
FIG. 4 is a system diagram of a troubleshooting system suitable for use in an advanced driving assistance system according to one embodiment of the present application;
FIG. 5 is a schematic diagram of a computer device according to one embodiment of the present application; and
FIG. 6 is a schematic diagram of a computer-readable storage medium according to one embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all 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 application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Referring to fig. 1, an embodiment of the present application provides a fault solution method for an advanced driving assistance system, including:
s101: acquiring fault definition data and corresponding solution strategy data;
the fault definition data and resolution strategy are pre-stored in the system between using the systems. The fault definition data includes, but is not limited to, information such as the specific meaning of the fault, the fault code, the cause of the fault, the severity of the fault, and the frequency of occurrence of the fault.
S102: acquiring fault data;
the failure data is information such as a failure code corresponding to each failure, a cause of occurrence of the failure, a severity of the failure, and a frequency of occurrence of the failure when the system is in use and the system is in failure. The fault data collected at this stage is data corresponding to a manageable fault, and each software and hardware development module constituting the ADAS system needs to be able to record faithfully and accurately, and to accompany possible influences of the fault as much as possible.
S103: comparing the fault data with the fault definition data and generating a comparison result;
and comparing the information such as the fault code, the fault generation reason, the fault severity and the fault occurrence frequency in the fault data with the information such as the fault code, the fault generation reason, the fault severity and the fault occurrence frequency in the fault definition data, and generating a comparison result.
S104: acquiring fault type data according to the comparison result;
by comparison, the fault type (such as temporary fault and permanent fault) in the fault definition data corresponding to the current fault is known.
S105: and executing a corresponding solution strategy according to the fault type data.
Different fault type data correspond to different fault types, and different fault types correspond to different solution strategies. Because the corresponding resolution strategies for temporary faults and permanent faults may be different.
Referring to fig. 2, in some embodiments of the present application, comparing the fault data with the fault definition data and generating the comparison result includes:
s201: analyzing the fault influence according to the fault data and acquiring an analysis result;
and analyzing whether the fault influence is global influence or local influence according to the fault data. The solution strategy adopted may be different in the face of different fault effects. In the present embodiment, the influence of the fault is judged by analyzing whether the fault data affects at least a partial functional failure of the advanced driving assistance system, or by analyzing whether the fault data causes a failure of the advanced driving assistance system.
As the ADAS domain controller, from the viewpoint of the driver, functions provided to the user are ADAS functions defined for products, such as ACC (adaptive cruise), LKA (Lane Keeping assist), AEB (automatic braking system), AVM (Around View Monitor), and the like, which are upper-layer functions of the ADAS system. The first level therefore analyzes from a functional point of view whether a certain fault would lead to the failure of a certain ADAS function.
From the perspective of developers, the ADAS function presented to the outside is a function finally completed by interaction of each associated module in the ADAS system, and the modules and the interactive interfaces in the upstream and downstream are involved as a large ADAS system, and each module can be regarded as a small system, so that the basic function of the system is provided, and finally, whether a certain fault causes system failure or not is analyzed from the aspect of the system, that is, the basic function of the system cannot be provided.
These two levels, one can be considered global and one local. Usually, the modules do not exist independently, interaction exists, a communication link exists in the presence of interaction, the influence of the interaction is analyzed from the local part, and the communication link is followed to analyze whether the fault is a key fault influencing the final function.
S202: acquiring fault frequency data according to the fault data;
from the fault frequency data it can be derived whether the fault belongs to a temporary fault or a permanent fault.
S203: and generating a comparison result according to the analysis result and the fault frequency data.
In the present embodiment, when the frequency is 1, the fault type data is fault debounce type data. The jitter elimination of the fault refers to the protection of the transient fault (the frequency is 1), and the fault is not generated or is really mature, so that the mechanism can effectively filter some interference. The fault of the fault-dejittering type thus belongs to a temporary fault.
And when the frequency is greater than or equal to the first threshold value within the second preset time, the fault type data is fault latch type data. And (3) regarding the repeated occurrence of the temporary fault in a plurality of driving cycles (the frequency is greater than or equal to the first threshold), considering the fault as a permanent fault, performing latch processing and persistent storage, and waiting for the fault to be actually repaired.
And when the frequency is greater than 1 and less than a first threshold value within a first preset time, the fault type data is fault aging type data. The fault aging may consider that during the transition from the temporary fault to the permanent fault, the aging period has elapsed without becoming a permanent fault (the frequency is greater than 1 and less than the first threshold), and the fault is considered to have recovered.
In some embodiments of the present application, the fault resolution method applied to the advanced driving assistance system further includes: and sending fault data to a cloud server.
Referring to fig. 3, the present application further provides a fault management system suitable for an advanced driving assistance system, including:
a fault definition data acquisition module configured to acquire fault definition data;
a resolution policy acquisition module configured to acquire resolution policy data corresponding to the fault definition data;
a fault data acquisition module configured to acquire fault data;
a comparison module configured to compare the fault data with the fault definition data and generate a comparison result;
the fault type acquisition module is configured to acquire fault type data according to the comparison result;
and the execution module is configured to execute the corresponding solution strategy according to the fault type data.
Referring to fig. 4, the present application further provides a fault management system suitable for advanced driving assistance system, which includes
A fault detection module configured to detect a system fault;
the fault reporting module is configured to report the system fault;
a fault management module configured to classify a system fault;
and the fault post-processing module is configured to process the system fault according to the classified result of the system fault.
A fault detection module: the fault detection is the entrance of the fault communication framework, and the logic is embedded in each module, and each module is responsible for identifying the abnormity and mapping the fault. Usually, it should be recognized at the design stage which exception systems will occur in the module itself and which faults will occur, i.e. fault detection identifies the fault definition at the first stage.
A fault reporting module: the fault report defines a communication interface, which is a bridge for interaction between each module and a fault processing center module. The interface defines the manner of communication, the data structure of the communication and the transmission protocol of the communication. The communication means includes RPC (remote procedure call) or event notification. The data structure of the communication is specific interactive contents, and generally contains a fault ID, a fault state, a time when the fault occurs, and the like. The communication transmission protocol refers to common modes such as UDP/TCP/shared memory and the like.
A fault management module: the object of fault management is the collection of faults from the various modules, the responsibility of which is how to manage these faults. Mapping of fault debounce, fault latch, fault aging, and fault policy that may be considered
A fault post-processing module: failure post-processing is the enforcement of failure policies. When a fault is generated and a certain strategy is matched through clustering, specific implementation is carried out through the module, such as function shutdown, driver reminding, system exit and the like.
A fault maintenance module: the module is used for outputting fault information in a real-time format mode, is used for debugging and testing developers, and analyzes faults in a cloud end by utilizing big data collection in a later period, and is similar to traditional diagnosis.
Referring to fig. 5, the present application further provides a computer device comprising a memory, a processor and a computer program stored in the memory and executable by the processor, wherein the processor implements any of the above methods when executing the computer program.
Referring to fig. 6, the present application further provides a computer-readable storage medium, a non-volatile readable storage medium, having stored therein a computer program, which when executed by a processor, implements the method of any of the above.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and they may alternatively be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, or fabricated separately as individual integrated circuit modules, or fabricated as a single integrated circuit module from multiple modules or steps. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (14)
1. A failure solving method suitable for an advanced driving assistance system, characterized by comprising:
acquiring fault definition data and corresponding solution strategy data;
acquiring fault data;
comparing the fault data with the fault definition data and generating a comparison result;
acquiring fault type data according to the comparison result;
and executing the corresponding solution strategy according to the fault type data.
2. The failure solving method suitable for the advanced driving assistance system according to claim 1, wherein comparing the failure data with the failure definition data and generating a comparison result comprises:
analyzing the fault influence according to the fault data and acquiring an analysis result;
acquiring fault frequency data according to the fault data;
and generating a comparison result according to the analysis result and the fault frequency data.
3. The failure solving method suitable for advanced driving assistance system according to claim 1, characterized in that the failure solving method suitable for advanced driving assistance system further comprises:
and sending the fault data to a cloud server.
4. The failure solving method adapted to the advanced driving assistance system according to claim 1, wherein the failure definition data includes: fault meaning data, fault cause data, fault severity data and fault frequency information.
5. The failure resolution method suitable for advanced driving assistance system according to claim 2, characterized in that analyzing the failure influence according to the failure data includes:
analyzing whether the fault data affects at least a partial functional failure of the advanced driving assistance system.
6. The fault resolution method suitable for advanced driving assistance system according to claim 2, wherein analyzing the influence of the fault based on the fault data comprises:
analyzing whether the fault data causes a failure of the advanced driving assistance system.
7. The failure solving method suitable for the advanced driving assistance system according to claim 1, wherein comparing the failure data with the failure definition data and generating a comparison result comprises:
and comparing the frequency of the fault data with a first threshold value, and acquiring a first comparison result.
8. The method of claim 7, wherein obtaining fault type data according to the comparison result and generating the comparison result comprises:
when the frequency is 1, the fault type data is fault jitter elimination type data
When the frequency is greater than 1 and smaller than a first threshold value within a first preset time, the fault type data is fault aging type data;
and when the frequency is greater than or equal to the first threshold value within a second preset time, the fault type data is fault latch type data.
9. A fault management system adapted for use in an advanced driving assistance system, comprising:
a fault definition data acquisition module configured to acquire fault definition data;
a resolution policy acquisition module configured to acquire resolution policy data corresponding to the fault definition data;
a fault data acquisition module configured to acquire fault data;
a comparison module configured to compare the fault data with the fault definition data and generate a comparison result;
the fault type acquisition module is configured to acquire fault type data according to the comparison result;
an execution module configured to execute the corresponding resolution policy according to the fault type data.
10. A fault management system suitable for advanced driving assistance system is characterized by comprising
A fault detection module configured to detect a system fault;
the fault reporting module is configured to report the system fault;
a fault management module configured to classify the system fault;
a fault post-processing module configured to process the system fault according to a result of the system fault classification.
11. A vehicle characterized by using the failure solving method for an advanced driving assistance system according to any one of claims 1 to 11.
12. A vehicle characterized by using the failure solving system adapted to the advanced driving assistance system according to claim 9 or 10.
13. A computer device comprising a memory, a processor and a computer program stored in the memory and executable by the processor, wherein the processor implements the method of any one of claims 1-8 when executing the computer program.
14. A computer-readable storage medium, a non-transitory readable storage medium, having stored therein a computer program, characterized in that the computer program, when executed by a processor, implements the method according to any one of claims 1-8.
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| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Address after: 314500 988 Tong Tong Road, Wu Tong Street, Tongxiang, Jiaxing, Zhejiang Applicant after: United New Energy Automobile Co.,Ltd. Address before: 314500 988 Tong Tong Road, Wu Tong Street, Tongxiang, Jiaxing, Zhejiang Applicant before: Hozon New Energy Automobile Co., Ltd. |