CN117093393A - Uploading method and device for vehicle error information - Google Patents
Uploading method and device for vehicle error information Download PDFInfo
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- CN117093393A CN117093393A CN202310896144.9A CN202310896144A CN117093393A CN 117093393 A CN117093393 A CN 117093393A CN 202310896144 A CN202310896144 A CN 202310896144A CN 117093393 A CN117093393 A CN 117093393A
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- 238000000034 method Methods 0.000 title claims abstract description 36
- 238000003745 diagnosis Methods 0.000 claims abstract description 49
- 238000012856 packing Methods 0.000 claims abstract description 4
- 230000004044 response Effects 0.000 claims description 19
- 238000004806 packaging method and process Methods 0.000 claims description 3
- 230000000694 effects Effects 0.000 abstract description 6
- 238000001514 detection method Methods 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/0706—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment
- G06F11/0736—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment in functional embedded systems, i.e. in a data processing system designed as a combination of hardware and software dedicated to performing a certain function
- G06F11/0739—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment in functional embedded systems, i.e. in a data processing system designed as a combination of hardware and software dedicated to performing a certain function in a data processing system embedded in automotive or aircraft systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/0766—Error or fault reporting or storing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/079—Root cause analysis, i.e. error or fault diagnosis
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Abstract
The application provides a method and a device for uploading vehicle error information. The method comprises the steps of determining error information collected initially by a vehicle, collecting error information related to the error information collected initially from an error time point of the error information collected initially, continuously determining the current error influence degree of all the error information collected currently on the safety of the vehicle in the collecting process, and packing and uploading all the error information as a diagnosis object to an error diagnosis server when the current error influence degree reaches a preset severity degree. Because the correlation between the error information in the data packet is strong, the error diagnosis server has strong reference effect on diagnosis, can assist the error diagnosis server to accurately position the cause of the vehicle error, reduces the time for extracting and diagnosing the data, and improves the efficiency of eliminating the vehicle error.
Description
Technical Field
The application relates to the technical field of vehicle fault analysis, in particular to a vehicle error information uploading method, a device, a medium and electronic equipment.
Background
Currently, there are multiple systems in a vehicle, each with its own processor and each running separate software, involving a large number of chips. After the vehicle breaks down, a professional technician reads the fault code of the vehicle end through an interface of a vehicle-mounted automatic diagnosis system (called On-Board Diagnostics, OBD for short) connected to the vehicle end by a diagnosis instrument device, and then the fault code is positioned to a software code. The problems in the code can be solved by repeated testing.
However, in many cases, it is difficult to determine the actual cause of the fault by only one fault code, and the skilled artisan often needs to collect data related to the fault to locate the cause of the fault by testing. This data collection effort requires time and effort to collect.
Therefore, the application provides a method for uploading vehicle error information, so as to solve the technical problems.
Disclosure of Invention
The application aims to provide a method, a device, a medium and electronic equipment for uploading vehicle error information, which can solve at least one technical problem. The specific scheme is as follows:
according to a first aspect of the present application, there is provided a method for uploading vehicle error information, including:
in response to determining error information initially collected by the vehicle, beginning to collect the error information based on error time points of the error information initially collected, wherein the error information at least comprises the error time points and error identification codes;
determining the current error influence degree based on the error time points and the error identification codes of all the error information collected currently;
and when the current error influence degree reaches a preset severity degree, packaging and uploading all error information serving as a diagnosis object to an error diagnosis server.
Optionally, the determining the current error influence degree based on the error time points and the error identification codes of all the currently collected error information includes:
taking the error time point of the error information of initial collection as a starting time point, and acquiring a collection time period by combining a preset limit duration;
obtaining an error level of the current error information based on an error identification code of the current error information when an error time point of the collected current error information is within the collection time period;
and when the error grade of the current error information is a preset very serious grade, determining the error influence degree as a preset severity degree.
Optionally, the method further comprises:
when the error time point of the collected current error information is in the collection time period and the error grade of the current error information is a preset severity grade, counting the current statistics quantity of the error information with the error grade being the preset severity grade in the collection time period;
and when the current statistical quantity is equal to a preset serious quantity threshold value, determining the error influence degree as a preset serious degree.
Optionally, the method further comprises:
and when the error influence degree is not determined to be the preset severity degree in the collecting time period, determining that the error influence degree is the preset severity degree when the error time point of the current error information exceeds the collecting time period.
Optionally, before the error information collected in response to the acquisition of the vehicle start, the method further includes:
acquiring current error information of a vehicle;
and when any error information is not acquired in the preset response time before the error time point of the current error information, determining the current error information as the error information appearing for the first time.
According to a second aspect of the present application, there is provided a device for uploading vehicle error information, including:
a collecting unit for starting to collect error information based on an error time point of the error information collected initially in response to determining the error information collected initially by the vehicle, wherein the error information at least comprises the error time point and an error identification code;
a determining unit for determining a current error influence degree based on error time points and error identification codes of all error information collected currently;
and the uploading unit is used for packing and uploading all the error information as a diagnosis object to an error diagnosis server when the current error influence degree reaches a preset severity degree.
Optionally, the determining unit includes:
taking the error time point of the error information of initial collection as a starting time point, and acquiring a collection time period by combining a preset limit duration;
obtaining an error level of the current error information based on an error identification code of the current error information when an error time point of the collected current error information is within the collection time period;
and when the error grade of the current error information is a preset very serious grade, determining the error influence degree as a preset severity degree.
Optionally, the determining unit further includes:
when the error time point of the collected current error information is in the collection time period and the error grade of the current error information is a preset severity grade, counting the current statistics quantity of the error information with the error grade being the preset severity grade in the collection time period;
and when the current statistical quantity is equal to a preset serious quantity threshold value, determining the error influence degree as a preset serious degree.
Optionally, the determining unit further includes:
and when the error influence degree is not determined to be the preset severity degree in the collecting time period, determining that the error influence degree is the preset severity degree when the error time point of the current error information exceeds the collecting time period.
Optionally, before the collecting unit, a starting unit is further included; the starting unit is used for
Acquiring current error information of a vehicle;
and when any error information is not acquired in the preset response time before the error time point of the current error information, determining the current error information as the error information appearing for the first time.
According to a third aspect of the present application, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method of uploading vehicle error information as described in any of the above.
According to a fourth aspect of the present application, there is provided an electronic device comprising: one or more processors; and a storage device for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the method of uploading vehicle error information as claimed in any preceding claim.
Compared with the prior art, the scheme provided by the embodiment of the application has at least the following beneficial effects:
the application provides a method, a device, a medium and electronic equipment for uploading vehicle error information. The method comprises the steps of determining error information collected initially by a vehicle, collecting error information related to the error information collected initially from an error time point of the error information collected initially, continuously determining the current error influence degree of all the error information collected currently on the safety of the vehicle in the collecting process, and packing and uploading all the error information as a diagnosis object to an error diagnosis server when the current error influence degree reaches a preset severity degree. Because the correlation between the error information in the data packet is strong, the error diagnosis server has strong reference effect on diagnosis, can assist the error diagnosis server to accurately position the cause of the vehicle error, reduces the time for extracting and diagnosing the data, and improves the efficiency of eliminating the vehicle error.
Drawings
FIG. 1 shows a flow chart of a method of uploading vehicle error information according to an embodiment of the application;
fig. 2 shows a block diagram of a unit of a device for uploading vehicle error information according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be described in further detail below with reference to the accompanying drawings, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The terminology used in the embodiments of the application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise, the "plurality" generally includes at least two.
It should be understood that the term "and/or" as used herein is merely one relationship describing the association of the associated objects, meaning that there may be three relationships, e.g., a and/or B, may represent: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
It should be understood that although the terms first, second, third, etc. may be used in embodiments of the present application, these descriptions should not be limited to these terms. These terms are only used to distinguish one from another. For example, a first may also be referred to as a second, and similarly, a second may also be referred to as a first, without departing from the scope of embodiments of the application.
The words "if", as used herein, may be interpreted as "at … …" or "at … …" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrase "if determined" or "if detected (stated condition or event)" may be interpreted as "when determined" or "in response to determination" or "when detected (stated condition or event)" or "in response to detection (stated condition or event), depending on the context.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a product or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such product or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a commodity or device comprising such element.
In particular, the symbols and/or numerals present in the description, if not marked in the description of the figures, are not numbered.
Alternative embodiments of the present application will be described in detail below with reference to the accompanying drawings.
The embodiment provided by the application is an embodiment of a method for uploading vehicle error information.
An embodiment of the present application will be described in detail with reference to fig. 1.
In step S101, in response to determining that the vehicle starts collecting error information, collecting error information is started based on an error time point of the error information that starts collecting.
Wherein, the error information at least comprises an error time point and an error identification code.
In the embodiment of the application, the vehicle can automatically generate the error information, and the error information can be stored in the application log or in a preset physical address, and the embodiment of the application is not limited to the embodiment.
An error identification code is a symbol consisting of a set of numbers and/or characters that indicate the cause of the error.
Optionally, the error identification codes of the error information are different. The information with the same error identification code is only recorded once before being uploaded to the error diagnosis server, so that the storage quantity of the information is reduced, the packed data quantity and the uploaded data quantity are reduced, the efficiency of data transmission is improved, the data quantity diagnosed by the error diagnosis server is reduced, and the diagnosis efficiency is improved.
The purpose of the embodiment of the application is to package and send the related data generating errors each time to an error diagnosis server as a diagnosis object, and the error diagnosis server comprehensively analyzes the related data generating errors in the data package so as to accurately locate the true cause generating errors. Thus, embodiments of the present application require the collection of a series of related error messages starting from the first occurring error message.
The initially collected error information refers to the error information with the earliest error time point in the data packet. The embodiment of the application does not irregularly transmit error information to the error diagnosis server, and a professional technician analyzes the cause of the error, takes the error information related to the subsequent error as initial collected information, and packages and transmits the subsequent error information caused by the error information as reference information of diagnosis to the error diagnosis server. Thereby improving the efficiency of error diagnosis.
In some embodiments, before the step of acquiring the error information collected by the vehicle start, the method further comprises the steps of:
step S100-1, current error information of the vehicle is acquired.
Step S100-1, when any error information is not acquired in a preset response time before the error time point of the current error information, determining that the current error information is the error information appearing for the first time.
In this embodiment, whether the error information is acquired within a preset response time period before the error time point of the current error information is used as a basis for judging the error information initially collected. If the error information is not obtained within the preset response time, the previous error information can be determined without directly influencing the current error information. It will be appreciated that the previous error information has been excluded, for example, by the self-healing system of the system; or the previous error information has been excluded by means of upgrades.
Step S102, determining the current error influence degree based on the error time points and the error identification codes of all the error information collected currently.
In some embodiments, the determining the current error impact level based on the error time points and the error identification codes of all the currently collected error information includes the following steps:
step S102-1, taking the error time point of the error information of the initial collection as a starting time point, and obtaining a collection time period by combining the preset limiting time length.
For example, the error time point of the error information collected initially is 2023, 7, 12, 10, and the preset limit time period is 2 hours, and the collection time period is: the 10 th day of the 7 th month of 2023 is the 12 th day.
Step S102-2, when the error time point of the collected current error information is within the collection time period, obtaining the error level of the current error information based on the error identification code of the current error information.
In this particular embodiment, the error identification code includes information that identifies the error level.
The error level includes: very severe grade, and general grade. A very severe level indicates errors that must be removed immediately, a severe level indicates errors that need to be removed, and a general level indicates that there is little impact on driving safety temporarily. The error level may be determined manually from the effect of the error on safe operation of the vehicle.
For example, the error identification code is composed of 6-bit numbers and/or symbols in total, the first symbol from the left indicates an error level, a indicates a very serious level, B indicates a serious level, and C indicates a general level.
The preset limit duration is an empirically derived value that is generated through experimentation. The error information collected in the collection time period determined by the preset limit time length can play a reference role in the generation reason of the error information collected initially, namely the correlation with the error information collected initially is strong, and the reference role in diagnosis is strong. However, the error information beyond the collection period has a weak correlation with the error information initially collected, and has limited reference to diagnosis.
In step S102-3a, when the error level of the current error message is a preset very serious level, determining that the error influence degree is a preset severity degree.
In this embodiment, if the error level of the error message is a preset very serious level once it occurs in the collection period, it is determined that a very serious safety problem has occurred in the vehicle, and it is required to immediately eliminate the error.
In other embodiments, carrying out the method described above further comprises the steps of:
step S102-3b-1, counting the current statistical quantity of the serious error information with the error grade being the preset severity grade in the collection time period when the error time point of the collected current error information is in the collection time period and the error grade of the current error information is the preset severity grade.
Step S102-3b-2, when the current statistical quantity is equal to a preset serious quantity threshold value, determining the error influence degree as a preset serious degree.
For example, the threshold value of the preset severity amount is 3 times, if the error level of the current error information is the preset severity level and the current error information is added in the collection time period, counting the current statistics amount in the collection time period to be less than 3 times, and continuing to collect the error information; if the error level of the current error information is the preset severity level and the current error information is added, the current statistical quantity in the collecting time period is counted to be equal to 3 times, and the error influence degree is determined to be the preset severity degree.
In this embodiment, in the collecting period, if the current statistical number of the error information with the error level being the preset severity level is equal to the preset severity threshold, it is indicated that the vehicle risk has accumulated to a certain extent, and the vehicle must be diagnosed, so as to eliminate the errors and ensure the safety of the vehicle.
In other embodiments, the method further comprises the steps of:
step S102-3c, when the error influence degree is not determined to be the preset severity degree in the collecting time period, determining the error influence degree to be the preset severity degree when the error time point of the current error information exceeds the collecting time period.
The fact that the degree of influence of the error is not determined to be the preset severity in the collecting period can be understood that the error level in which the error information is not collected in the collecting period is the preset very serious level, and the error information of the preset severity level, the current statistical quantity of which is equal to the preset severity quantity threshold value, is not collected.
The reference to diagnosis is limited because the error information after the collection period has been less correlated with the error information initially collected. Therefore, the present embodiment prepares to submit all the error information collected this time to the error diagnosis server for diagnosis analysis by determining the error influence degree as a preset severity degree, so as to solve the problem.
And step S103, when the current error influence degree reaches a preset severity degree, packaging and uploading all error information as a diagnosis object to an error diagnosis server.
After the package is uploaded, the work of collecting the error information is finished. Waiting for the next determination to initiate the collection of error information.
The embodiment of the application determines error information initially collected by a vehicle, collects the subsequent error information related to the initially collected error information from the error time point of the initially collected error information, continuously determines the current error influence degree of all the currently collected error information on the safety of the vehicle in the collecting process, and packages and uploads all the error information as a diagnosis object to an error diagnosis server when the current error influence degree reaches a preset severity degree. Because the correlation between the error information in the data packet is strong, the error diagnosis server has strong reference effect on diagnosis, can assist the error diagnosis server to accurately position the cause of the vehicle error, reduces the time for extracting and diagnosing the data, and improves the efficiency of eliminating the vehicle error.
The present application also provides an embodiment of a device for carrying out the method steps described in the above embodiment, and the explanation based on the meaning of the same names is the same as that of the above embodiment, which has the same technical effects as those of the above embodiment, and is not repeated here.
As shown in fig. 2, the present application provides a device 200 for uploading vehicle error information, comprising:
a collecting unit 201 for starting to collect error information based on an error time point of the error information collected initially in response to determining the error information collected initially by the vehicle, wherein the error information includes at least the error time point and an error identification code;
a determining unit 202 for determining a current error influence degree based on error time points and error identification codes of all error information currently collected;
and an uploading unit 203, configured to package and upload all the error information as a diagnosis object to an error diagnosis server when the current error influence degree reaches a preset severity degree.
Optionally, the determining unit includes:
taking the error time point of the error information of initial collection as a starting time point, and acquiring a collection time period by combining a preset limit duration;
obtaining an error level of the current error information based on an error identification code of the current error information when an error time point of the collected current error information is within the collection time period;
and when the error grade of the current error information is a preset very serious grade, determining the error influence degree as a preset severity degree.
Optionally, the determining unit further includes:
when the error time point of the collected current error information is in the collection time period and the error grade of the current error information is a preset severity grade, counting the current statistics quantity of the error information with the error grade being the preset severity grade in the collection time period;
and when the current statistical quantity is equal to a preset serious quantity threshold value, determining the error influence degree as a preset serious degree.
Optionally, the determining unit further includes:
and when the error influence degree is not determined to be the preset severity degree in the collecting time period, determining that the error influence degree is the preset severity degree when the error time point of the current error information exceeds the collecting time period.
Optionally, before the collecting unit, a starting unit is further included; the starting unit is used for
Acquiring current error information of a vehicle;
and when any error information is not acquired in the preset response time before the error time point of the current error information, determining the current error information as the error information appearing for the first time.
The embodiment of the application determines error information initially collected by a vehicle, collects the subsequent error information related to the initially collected error information from the error time point of the initially collected error information, continuously determines the current error influence degree of all the currently collected error information on the safety of the vehicle in the collecting process, and packages and uploads all the error information as a diagnosis object to an error diagnosis server when the current error influence degree reaches a preset severity degree. Because the correlation between the error information in the data packet is strong, the error diagnosis server has strong reference effect on diagnosis, can assist the error diagnosis server to accurately position the cause of the vehicle error, reduces the time for extracting and diagnosing the data, and improves the efficiency of eliminating the vehicle error.
The present embodiment provides an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the one processor to enable the at least one processor to perform the method steps described in the embodiments above.
Embodiments of the present application provide a non-transitory computer storage medium storing computer executable instructions that perform the method steps described in the embodiments above.
Finally, it should be noted that: in the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other. The system or the device disclosed in the embodiments are relatively simple in description, and the relevant points refer to the description of the method section because the system or the device corresponds to the method disclosed in the embodiments.
The above embodiments are only for illustrating the technical solution of the present application, and are not limiting; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims (10)
1. A method for uploading vehicle error information, comprising:
in response to determining error information initially collected by the vehicle, beginning to collect the error information based on error time points of the error information initially collected, wherein the error information at least comprises the error time points and error identification codes;
determining the current error influence degree based on the error time points and the error identification codes of all the error information collected currently;
and when the current error influence degree reaches a preset severity degree, packaging and uploading all error information serving as a diagnosis object to an error diagnosis server.
2. The method of claim 1, wherein determining the current degree of error impact based on the error time points and the error identification codes of all error information currently collected comprises:
taking the error time point of the error information of initial collection as a starting time point, and acquiring a collection time period by combining a preset limit duration;
obtaining an error level of the current error information based on an error identification code of the current error information when an error time point of the collected current error information is within the collection time period;
and when the error grade of the current error information is a preset very serious grade, determining the error influence degree as a preset severity degree.
3. The method according to claim 2, wherein the method further comprises:
when the error time point of the collected current error information is in the collection time period and the error grade of the current error information is a preset severity grade, counting the current statistics quantity of the error information with the error grade being the preset severity grade in the collection time period;
and when the current statistical quantity is equal to a preset serious quantity threshold value, determining the error influence degree as a preset serious degree.
4. A method according to claim 3, characterized in that the method further comprises:
and when the error influence degree is not determined to be the preset severity degree in the collecting time period, determining that the error influence degree is the preset severity degree when the error time point of the current error information exceeds the collecting time period.
5. The method of claim 1, wherein the responding to the acquisition of the error information collected at the beginning of the vehicle further comprises:
acquiring current error information of a vehicle;
and when any error information is not acquired in the preset response time before the error time point of the current error information, determining the current error information as the error information appearing for the first time.
6. An uploading device for vehicle error information, comprising:
a collecting unit for starting to collect error information based on an error time point of the error information collected initially in response to determining the error information collected initially by the vehicle, wherein the error information at least comprises the error time point and an error identification code;
a determining unit for determining a current error influence degree based on error time points and error identification codes of all error information collected currently;
and the uploading unit is used for packing and uploading all the error information as a diagnosis object to an error diagnosis server when the current error influence degree reaches a preset severity degree.
7. The apparatus according to claim 6, wherein the determining unit includes:
taking the error time point of the error information of initial collection as a starting time point, and acquiring a collection time period by combining a preset limit duration;
obtaining an error level of the current error information based on an error identification code of the current error information when an error time point of the collected current error information is within the collection time period;
and when the error grade of the current error information is a preset very serious grade, determining the error influence degree as a preset severity degree.
8. The apparatus of claim 7, wherein the determining unit further comprises:
when the error time point of the collected current error information is in the collection time period and the error grade of the current error information is a preset severity grade, counting the current statistics quantity of the error information with the error grade being the preset severity grade in the collection time period;
and when the current statistical quantity is equal to a preset serious quantity threshold value, determining the error influence degree as a preset serious degree.
9. The apparatus of claim 8, wherein the determining unit further comprises:
and when the error influence degree is not determined to be the preset severity degree in the collecting time period, determining that the error influence degree is the preset severity degree when the error time point of the current error information exceeds the collecting time period.
10. The apparatus of claim 6, further comprising a start unit before the collection unit; the starting unit is used for
Acquiring current error information of a vehicle;
and when any error information is not acquired in the preset response time before the error time point of the current error information, determining the current error information as the error information appearing for the first time.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310896144.9A CN117093393A (en) | 2023-07-20 | 2023-07-20 | Uploading method and device for vehicle error information |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310896144.9A CN117093393A (en) | 2023-07-20 | 2023-07-20 | Uploading method and device for vehicle error information |
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| CN117093393A true CN117093393A (en) | 2023-11-21 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310896144.9A Pending CN117093393A (en) | 2023-07-20 | 2023-07-20 | Uploading method and device for vehicle error information |
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| CN (1) | CN117093393A (en) |
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2023
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