CN115410289A - Vehicle data processing method and device and computing equipment - Google Patents
Vehicle data processing method and device and computing equipment Download PDFInfo
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- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/008—Registering or indicating the working of vehicles communicating information to a remotely located station
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
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- B60R16/00—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
- B60R16/02—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
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Abstract
The application provides a vehicle data processing method and device and computing equipment. The method comprises the steps of obtaining configuration information, wherein the configuration information comprises priority rules corresponding to each vehicle data type under different vehicle states; acquiring a target vehicle state and a plurality of vehicle data; determining configuration information corresponding to the target vehicle state; determining the priority corresponding to each piece of vehicle data in the plurality of pieces of vehicle data according to the configuration information corresponding to the target vehicle state; and sequentially uploading or storing the vehicle data with high priority according to the ranking order of the priority from high to low. In this embodiment, required vehicle data can be processed preferentially, and vehicle machine resource consumption brought by redundant vehicle data is reduced.
Description
Technical Field
The embodiment of the application relates to the technical field of data processing, in particular to a vehicle data processing method and device and computing equipment.
Background
In the process of driving a vehicle one time, the vehicle machine may generate vehicle data in a plurality of directions, for example, driving data, application data, and the like, and these data generally need to be uploaded to the cloud or stored locally, so as to provide data support for optimizing vehicle service.
The conventional vehicle data processing method generally requires a vehicle machine to upload all vehicle data to a cloud, but the network bandwidth and the storage capacity of the vehicle machine are limited, so that the problem of high vehicle resource consumption is caused if all vehicle data are uploaded to the cloud, and the cloud cannot acquire the vehicle data in time.
Disclosure of Invention
The embodiment of the application provides a vehicle data processing method, a vehicle data processing device and computing equipment, which can process required vehicle data preferentially and reduce vehicle machine resource consumption caused by redundant vehicle data.
In a first aspect, an embodiment of the present application provides a vehicle data processing method, including:
acquiring configuration information, wherein the configuration information comprises priority rules corresponding to each vehicle data type under different vehicle states;
acquiring a target vehicle state and a plurality of vehicle data;
determining configuration information corresponding to the target vehicle state;
determining the priority corresponding to each piece of vehicle data in the plurality of pieces of vehicle data according to the configuration information corresponding to the target vehicle state;
and sequentially uploading or storing the vehicle data with high priority according to the ranking order of the priority from high to low.
Optionally, the determining, according to the configuration information corresponding to the state of the target vehicle, a priority corresponding to each piece of vehicle data in the plurality of pieces of vehicle data includes:
determining the type of the vehicle data to which each piece of vehicle data belongs;
and determining the priority corresponding to the vehicle data type according to the configuration information corresponding to the target vehicle state, and taking the priority as the priority corresponding to the vehicle data.
Optionally, before obtaining the configuration information, the method further includes:
and the cloud server presets a priority rule corresponding to each vehicle data type in different vehicle states and issues the priority rule to the target vehicle when the target vehicle is started.
Optionally, the vehicle data types include application data, hardware data, vehicle travel data, and user operation data.
Optionally, the target vehicle state includes normal driving, abnormal driving, or a malfunction;
the determining of the configuration information corresponding to the target vehicle state includes:
when the target vehicle state comprises normal driving, the priority corresponding to the user operation data is the highest;
when the target vehicle state comprises abnormal running, the priority corresponding to the vehicle running data is the highest;
when the target vehicle state includes a fault, the vehicle travel data and the hardware data have the highest priority.
Optionally, the method further comprises:
and when the state of the target vehicle is changed, re-determining the configuration information corresponding to the state of the target vehicle.
Optionally, after the determining the configuration information corresponding to the target vehicle state, the method further includes:
and storing a plurality of vehicle data into a priority queue, and configuring configuration information corresponding to the target vehicle state into the priority queue.
In a second aspect, an embodiment of the present application provides a vehicle data processing apparatus, including:
the acquisition module is used for acquiring configuration information, and the configuration information comprises priority rules corresponding to each vehicle data type under different vehicle states; acquiring a target vehicle state and a plurality of vehicle data;
the determining module is used for determining configuration information corresponding to the target vehicle state; determining the priority corresponding to each piece of vehicle data in the plurality of pieces of vehicle data according to the configuration information corresponding to the target vehicle state;
and the processing module is used for sequentially uploading or storing the vehicle data with high priority according to the sequence from high priority to low priority.
In a third aspect, an embodiment of the present application provides a computing device, including a processing component and a storage component; the storage component stores one or more computer instructions; the one or more computer instructions are for execution by the processing component to implement the vehicle data processing method of the first aspect as described above.
In a fourth aspect, embodiments of the present application provide a computer storage medium storing a computer program, which when executed by a computer, implements the vehicle data processing method according to the first aspect.
In the embodiment of the application, configuration information is obtained, wherein the configuration information comprises priority rules corresponding to each vehicle data type under different vehicle states; acquiring a target vehicle state and a plurality of vehicle data; determining configuration information corresponding to the target vehicle state; determining the priority corresponding to each piece of vehicle data in the plurality of pieces of vehicle data according to the configuration information corresponding to the target vehicle state; according to the ranking sequence from high priority to low priority, the vehicle data with high priority are sequentially uploaded or stored, the required vehicle data can be processed preferentially, and vehicle machine resource consumption caused by redundant vehicle data is reduced.
These and other aspects of the present application will be more readily apparent from the following description of the embodiments.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a schematic structural diagram of a vehicle data processing system according to an embodiment of the present disclosure;
FIG. 2 is a flow chart of a vehicle data processing method according to an embodiment of the present application;
FIG. 3 is a flow chart of another vehicle data processing method provided by an embodiment of the present application;
fig. 4 is a schematic structural diagram of a vehicle data processing device according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a computing device according to an 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.
In some of the flows described in the specification and claims of this application and in the above figures, a number of operations are included that occur in a particular order, but it should be clearly understood that these operations may be performed out of order or in parallel as they occur herein, the order of the operations being 101, 102, etc. merely to distinguish between various operations, the order of which does not itself denote any order of performance. Additionally, the flows may include more or fewer operations, and the operations may be performed sequentially or in parallel. It should be noted that, the descriptions of "first", "second", etc. in this document are used for distinguishing different messages, devices, modules, etc., and do not represent a sequential order, nor limit the types of "first" and "second" to be different.
Before the vehicle data processing method is introduced, the research background of the application is introduced:
the operation data of the vehicle machine is of great importance to users and enterprises, for example, the operation data of the vehicle machine can include driving data, application data and the like, which are collectively referred to as vehicle data. These vehicle data usually need to be uploaded to the cloud or stored locally to provide data support for optimizing the car machine service.
However, in the current vehicle data processing method, all the vehicle data are generally uploaded to the cloud or stored locally without dividing the data priority. Or, vehicle data is simply prioritized, but when different vehicle states are not considered, the types of vehicle data to be recorded in the cloud or the local area are different, and the required data should be uploaded/stored preferentially, so that the problem of low vehicle data processing efficiency still remains.
Therefore, the present application is directed to the problem of the current vehicle data processing method, and is directed to a situation that the vehicle data is uploaded to the cloud or stored locally by the vehicle machine, considering that both the network bandwidth and the storage capacity of the vehicle machine are limited, and considering different vehicle states, the vehicle data required by the cloud is different, or the vehicle data required to be stored locally is different. Therefore, the vehicle data needs to be prioritized, and the vehicle data with high priority is set to have the authority of being uploaded to the cloud and stored locally in a priority mode; while low priority vehicle data may be uploaded/stored last or in extreme cases (e.g., weak network, disk full or vehicle failure/accident) the vehicle data may be discarded directly. That is to say, this application not only solves the problem that the vehicle resource consumption is big that uploads whole vehicle data to the high in the clouds and causes the high in the present vehicle data processing method to the high in the clouds through setting up the priority rule that different vehicle data types correspond to different vehicle states to upload or store the vehicle data that the priority is high in proper order to the high in the clouds server, can also in time upload the vehicle data that the high in the clouds is required, has guaranteed vehicle data processing efficiency, and the promptness and the validity of vehicle data.
Fig. 1 is a schematic structural diagram of a vehicle data processing system provided in an embodiment of the present application, where the system includes a vehicle machine 1, a local storage system 2, and a cloud server 3.
The vehicle machine 1 is used for sequentially storing vehicle data with high priority to the local storage system 2, or sequentially uploading the vehicle data with high priority to the cloud server 3.
Specifically, the cloud server 3 presets a priority rule corresponding to each vehicle data type in different vehicle states, and issues the priority rule to the vehicle machine 1 of the target vehicle when the target vehicle is started.
The vehicle machine 1 of the target vehicle is used for acquiring configuration information from the cloud server 3, wherein the configuration information comprises priority rules corresponding to each vehicle data type in different vehicle states; acquiring a target vehicle state and a plurality of vehicle data; determining configuration information corresponding to the target vehicle state; determining the priority corresponding to each piece of vehicle data in the plurality of pieces of vehicle data according to the configuration information corresponding to the target vehicle state; and sequentially storing the vehicle data with high priority to the local storage system 2 or sequentially uploading the vehicle data with high priority to the cloud server 3 according to the sequence from high priority to low priority.
In this application embodiment, through above-mentioned system, can set up the priority rule that different vehicle data types correspond to different vehicle states to upload in proper order or the high vehicle data of storage priority to high in the clouds server, not only solve prior art and upload the problem that the high in the clouds causes car machine resource consumption big with whole vehicle data to the high in the clouds, can also in time upload the required vehicle data in high in the clouds, guaranteed the timeliness and the validity of vehicle data.
Fig. 2 is a flowchart of a vehicle data processing method according to an embodiment of the present application, and as shown in fig. 2, the method includes:
101. and acquiring configuration information, wherein the configuration information comprises priority rules corresponding to each vehicle data type under different vehicle states.
In this step, the vehicle data types include, but are not limited to, application data, hardware data, vehicle travel data, and user operation data. The application data may include vehicle-mounted application data and the like, and the hardware data may include air conditioner signal data, vehicle window signal data and the like. The vehicle travel data may include a travel route, a travel speed, and the like. The user operation data may include braking, deceleration, shifting gears, etc.
In the embodiment of the application, as an alternative, the priority rule corresponding to each vehicle data type in different vehicle states can be preset in the cloud server, and when the target vehicle is started, the priority rule is issued to the vehicle machine of the target vehicle. As another alternative, the configuration information may also be stored in a local storage system of the vehicle machine, and when vehicle data processing is required (e.g., when the target vehicle is started), the configuration information is obtained from the local storage system. In addition, the pre-established configuration information may also be obtained in other ways, which is not limited in this application.
102. A target vehicle state and a plurality of vehicle data are acquired.
In this step, the target vehicle states include, but are not limited to: normal driving, abnormal driving, or a malfunction. The plurality of vehicle data may include: vehicle application data, air conditioner signal data, window signal data, driving route, driving speed, braking, deceleration or gear shifting, etc.
103. And determining configuration information corresponding to the target vehicle state.
In the embodiment of the present application, the configuration information includes a priority rule corresponding to each vehicle data type in different vehicle states, that is, when the target vehicle state includes normal driving, a specific priority order is provided among the application data, the hardware data, the vehicle driving data, and the user operation data. For example, when the target vehicle state includes normal running, the priority corresponding to the user operation data > the priority corresponding to the vehicle running data > the priority corresponding to the application data > the priority corresponding to the hardware data.
It should be noted that the priority rule corresponding to each vehicle data type in different vehicle states needs to be set or adjusted in advance according to actual requirements, and the target vehicle state including the priority rule corresponding to each vehicle data type in normal driving is only an example, and may also be flexibly set according to requirements.
104. And determining the priority corresponding to each piece of vehicle data in the plurality of pieces of vehicle data according to the configuration information corresponding to the target vehicle state.
In this step, the priority of the vehicle data is the priority of the type of the vehicle data to which the vehicle data belongs. For example, taking the target vehicle state as normal driving, and the plurality of vehicle data may include vehicle-mounted application data, air-conditioning signal data, window signal data, a driving route, a driving speed, braking, deceleration, or gear shifting, where, when the target vehicle state includes normal driving, the priority corresponding to the user operation data > the priority corresponding to the vehicle driving data > the priority corresponding to the application data > the priority corresponding to the hardware data, and in order to describe the priority relationship between the plurality of vehicle data types, the strength of the priority may be represented numerically. For example, when the target vehicle state includes normal running, the priority level corresponding to the user operation data is 1 level, the priority level corresponding to the vehicle running data is 2 level, the priority level corresponding to the application data is 3 level, and the priority level corresponding to the hardware data is 4 level (where the lower the number is, the higher the priority level is).
The vehicle data type to which the vehicle-mounted application data belongs is application data, so that the priority corresponding to the vehicle application data is 3, and similarly, the priority corresponding to the air conditioner signal data and the vehicle window signal data is determined to be 4; the priority corresponding to the driving route and the driving speed is 2 grade; the priority corresponding to braking, deceleration or gear shifting is level 1.
105. And sequentially uploading or storing the vehicle data with high priority according to the ranking order of the priority from high to low.
In the embodiment of the application, the priority corresponding to the vehicle application data is 3, and similarly, the priority corresponding to the air conditioner signal data and the vehicle window signal data is determined to be 4; the priority corresponding to the driving route and the driving speed is 2 grade; the priority corresponding to braking, deceleration or gear shifting is 1 level as an example, and the sequence from the high priority to the low priority is as follows: the priority corresponding to braking, deceleration or gear shifting is greater than the priority corresponding to the driving route and the priority corresponding to the driving speed is greater than the priority corresponding to the vehicle application data is greater than the priority corresponding to the air conditioner signal data and the vehicle window signal data. Therefore, the data of braking, deceleration or gear shifting are preferentially uploaded/stored, then the data of the driving route, the data of the driving speed and the data of vehicle application are uploaded/stored, and finally the data of air conditioner signals and the data of vehicle window signals are uploaded/stored.
It should be noted that, by preferentially uploading or storing vehicle data with a high priority, required vehicle data can be preferentially uploaded or stored, and vehicle machine resource consumption caused by redundant vehicle data is reduced.
Fig. 3 is a flowchart of another vehicle data processing method provided in the embodiment of the present application, and as shown in fig. 3, the method includes:
201. and the cloud server presets a priority rule corresponding to each vehicle data type in different vehicle states and issues the priority rule to the target vehicle when the target vehicle is started.
In the embodiment of the application, the vehicle state and the priority rule corresponding to each vehicle data type in different vehicle states are set at the cloud end, so that the expandability of the priority is realized.
202. And acquiring configuration information, wherein the configuration information comprises priority rules corresponding to each vehicle data type under different vehicle states.
In the embodiment of the present application, the execution process of the step may refer to the step 101, which is not described again in the embodiment of the present application.
203. A target vehicle state and a plurality of vehicle data are obtained.
In the embodiment of the present application, the execution process of this step may refer to step 102, which is not described again in the embodiment of the present application.
204. And determining configuration information corresponding to the target vehicle state.
In the embodiment of the present application, the execution process of this step may refer to step 103, which is not described again in the embodiment of the present application.
In this step, the target vehicle state includes, but is not limited to: normal driving, abnormal driving, or a malfunction.
In the embodiment of the present application, as a possible implementation manner, when the target vehicle state includes normal driving, the priority corresponding to the user operation data is highest. Specifically, the priority corresponding to the user operation data > the priority corresponding to the vehicle travel data > the priority corresponding to the application data > the priority corresponding to the hardware data.
As another possible implementation, when the target vehicle state includes abnormal traveling, the priority corresponding to the vehicle traveling data is highest. Specifically, the priority corresponding to the vehicle travel data > the priority corresponding to the hardware data > the priority corresponding to the user operation data > the priority corresponding to the application data.
As another possible implementation, when the target vehicle state includes a fault, the priority corresponding to the vehicle travel data and the hardware data is highest. Specifically, the priority corresponding to the vehicle travel data = priority corresponding to the hardware data > priority corresponding to the user operation data > priority corresponding to the application data.
205. And storing a plurality of vehicle data into a priority queue, and configuring configuration information corresponding to the target vehicle state into the priority queue.
In the embodiment of the application, the priority of the vehicle data is mapped by using the priority queue, so that the determination of the priority of the vehicle data and the change of the configuration information corresponding to the state of the target vehicle can be accelerated in practical application.
When storing a plurality of pieces of vehicle data in the priority queue, it is necessary to integrate the pieces of vehicle data and reconfigure the configuration information corresponding to the target vehicle state. Specifically, the vehicle data is classified and arranged according to the type of the vehicle data. For example, the vehicle data whose vehicle data type is the user operation data is arranged first, the vehicle data whose vehicle data type is the hardware data is arranged, and so on. After all the vehicle data are arranged, configuration information corresponding to the target vehicle state needs to be configured for the priority queue, so that the vehicle data can readjust the arrangement sequence in the priority queue according to the priority rules in the configuration information.
Further, the method also comprises the following steps: and when the state of the target vehicle is changed, re-determining the configuration information corresponding to the state of the target vehicle.
For example, when the state of the target vehicle changes from normal running to abnormal running, it is necessary that the configuration information corresponding to the vehicle data in the priority queue is modified to the priority rule corresponding to each vehicle data type at the time of abnormal running.
206. The type of vehicle data to which each vehicle data belongs is determined.
In the embodiment of the application, for example, when the vehicle data includes air conditioner signal data and window signal data, it is determined that the type of the vehicle data to which the vehicle data belongs is hardware data.
207. And determining the priority corresponding to the vehicle data type according to the configuration information corresponding to the target vehicle state, and taking the priority as the priority corresponding to the vehicle data.
In this step, the priority of the vehicle data is the priority of the type of the vehicle data to which the vehicle data belongs.
In the embodiment of the application, when the target vehicle state includes abnormal driving, taking priority (1 level) > priority (2 level) > priority (3 level) > priority (4 level) corresponding to the application data) corresponding to vehicle driving data, as an example, priority (1 level) > priority (2 level) corresponding to the hardware data > priority (3 level) > priority corresponding to the user operation data) corresponding to the vehicle window signal data is determined to be 2 level.
208. And sequentially uploading or storing the vehicle data with high priority according to the ranking order of the priority from high to low.
In the embodiment of the present application, the execution process of this step may refer to step 105, which is not described again in the embodiment of the present application.
Fig. 4 is a schematic structural diagram of a vehicle data processing device according to an embodiment of the present application, and as shown in fig. 4, the device includes:
an obtaining module 31, configured to obtain configuration information, where the configuration information includes a priority rule corresponding to each vehicle data type in different vehicle states; acquiring a target vehicle state and a plurality of vehicle data;
a determining module 32, configured to determine configuration information corresponding to the state of the target vehicle; determining the priority corresponding to each piece of vehicle data in the plurality of pieces of vehicle data according to the configuration information corresponding to the target vehicle state;
and the processing module 33 is used for sequentially uploading or storing the vehicle data with high priority according to the ranking order of the priority from high to low.
Optionally, in this embodiment of the present application, the determining module 32 of the apparatus is specifically configured to determine a vehicle data type to which each piece of vehicle data belongs; and determining the priority corresponding to the vehicle data type according to the configuration information corresponding to the target vehicle state, and taking the priority as the priority corresponding to the vehicle data.
Optionally, in this embodiment of the present application, the apparatus further includes: a module 34 is provided.
The setting module 34 is configured to preset a priority rule corresponding to each vehicle data type in different vehicle states at the cloud server, and issue the priority rule to the target vehicle when the target vehicle is started.
Optionally, in this embodiment, the vehicle data types include application data, hardware data, vehicle driving data, and user operation data.
Optionally, in this embodiment of the present application, the target vehicle state includes normal driving, abnormal driving, or a fault; the determining module 32 of the device is specifically configured to, when the target vehicle state includes normal driving, determine that the priority corresponding to the user operation data is the highest; when the target vehicle state comprises abnormal running, the priority corresponding to the vehicle running data is the highest; when the target vehicle state includes a fault, the vehicle travel data and the hardware data have the highest priority.
Optionally, in this embodiment of the present application, the determining module 32 of the apparatus is further configured to determine the configuration information corresponding to the state of the target vehicle again when the state of the target vehicle changes.
Optionally, in this embodiment of the present application, the apparatus further includes a storage configuration module 35.
The storage configuration module 35 is configured to store a plurality of vehicle data into a priority queue, and configure configuration information corresponding to the target vehicle state into the priority queue.
The vehicle data processing apparatus shown in fig. 4 can execute the vehicle data processing method shown in the embodiment shown in fig. 3, and the implementation principle and the technical effect are not repeated. The specific manner in which the various modules and units of the vehicle data processing device in the above-described embodiment perform operations has been described in detail in the embodiment related to the method, and will not be described in detail here.
In one possible design, the vehicle data processing apparatus of the embodiment shown in fig. 4 may be implemented as a computing device, and in practical application, as shown in fig. 5, the computing device may include a storage component 401 and a processing component 402;
one or more computer instructions are stored in the storage component 401, wherein the one or more computer instructions are invoked by the processing component 402 to implement the vehicle data processing method according to the embodiment of fig. 2 or fig. 3.
Among other things, the processing component 402 may include one or more processors to execute computer instructions to perform all or some of the steps of the methods described above. Of course, the processing components may also be implemented as one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors, or other electronic components configured to perform the vehicle data processing methods described above with respect to the embodiments of fig. 2 or 3.
The storage component 401 is configured to store various types of data to support operations at the terminal. The storage component may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
The embodiment of the present application further provides a computer-readable storage medium, which stores a computer program, and the computer program, when executed by a computer, can implement the vehicle data processing method of the embodiment shown in fig. 2 or fig. 3.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The above-described embodiments of the apparatus are merely illustrative, and 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 position, 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. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that the embodiments may be implemented by software plus a necessary general hardware platform, and may also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (10)
1. A vehicle data processing method, characterized by comprising:
acquiring configuration information, wherein the configuration information comprises priority rules corresponding to each vehicle data type under different vehicle states;
acquiring a target vehicle state and a plurality of vehicle data;
determining configuration information corresponding to the target vehicle state;
determining the priority corresponding to each piece of vehicle data in the plurality of pieces of vehicle data according to the configuration information corresponding to the target vehicle state;
and sequentially uploading or storing the vehicle data with high priority according to the ranking order of the priority from high to low.
2. The method according to claim 1, wherein the determining the priority corresponding to each of the plurality of vehicle data according to the configuration information corresponding to the target vehicle state comprises:
determining the type of the vehicle data to which each piece of vehicle data belongs;
and determining the priority corresponding to the vehicle data type according to the configuration information corresponding to the target vehicle state, and taking the priority as the priority corresponding to the vehicle data.
3. The method of claim 1, further comprising, prior to said obtaining configuration information:
and the cloud server presets a priority rule corresponding to each vehicle data type in different vehicle states and issues the priority rule to the target vehicle when the target vehicle is started.
4. The method according to any one of claims 1-3, wherein the vehicle data types include application data, hardware data, vehicle travel data, and user operation data.
5. The method according to claim 4, wherein the target vehicle state includes normal running, abnormal running, or a malfunction;
the determining of the configuration information corresponding to the target vehicle state includes:
when the target vehicle state comprises normal driving, the priority corresponding to the user operation data is the highest;
when the target vehicle state comprises abnormal running, the priority corresponding to the vehicle running data is the highest;
when the target vehicle state includes a fault, the vehicle travel data and the hardware data have the highest priority.
6. The method of claim 1, further comprising:
and when the state of the target vehicle is changed, re-determining the configuration information corresponding to the state of the target vehicle.
7. The method of claim 1, further comprising, after the determining the configuration information corresponding to the target vehicle state:
and storing a plurality of vehicle data into a priority queue, and configuring configuration information corresponding to the target vehicle state into the priority queue.
8. A vehicular data processing apparatus characterized by comprising:
the acquisition module is used for acquiring configuration information, and the configuration information comprises priority rules corresponding to each vehicle data type under different vehicle states; acquiring a target vehicle state and a plurality of vehicle data;
the determining module is used for determining configuration information corresponding to the target vehicle state; determining the priority corresponding to each piece of vehicle data in the plurality of pieces of vehicle data according to the configuration information corresponding to the target vehicle state;
and the processing module is used for sequentially uploading or storing the vehicle data with high priority according to the sequence from high priority to low priority.
9. A computing device comprising a processing component and a storage component; the storage component stores one or more computer instructions; the one or more computer instructions to be invoked for execution by the processing component to implement the vehicle data processing method of any of claims 1-7.
10. A computer storage medium characterized by storing a computer program that, when executed by a computer, implements the vehicle data processing method according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111138837.9A CN115410289A (en) | 2021-09-27 | 2021-09-27 | Vehicle data processing method and device and computing equipment |
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Application publication date: 20221129 |