CN116886727A - Vehicle data acquisition method and device based on vehicle cloud cooperation - Google Patents

Vehicle data acquisition method and device based on vehicle cloud cooperation Download PDF

Info

Publication number
CN116886727A
CN116886727A CN202310923623.5A CN202310923623A CN116886727A CN 116886727 A CN116886727 A CN 116886727A CN 202310923623 A CN202310923623 A CN 202310923623A CN 116886727 A CN116886727 A CN 116886727A
Authority
CN
China
Prior art keywords
vehicle
data acquisition
strategy
acquisition
data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202310923623.5A
Other languages
Chinese (zh)
Inventor
马理镜
黄浩林
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Deep Blue Automotive Technology Co ltd
Original Assignee
Deep Blue Automotive Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Deep Blue Automotive Technology Co ltd filed Critical Deep Blue Automotive Technology Co ltd
Priority to CN202310923623.5A priority Critical patent/CN116886727A/en
Publication of CN116886727A publication Critical patent/CN116886727A/en
Pending legal-status Critical Current

Links

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • 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
    • G07C5/0808—Diagnosing performance data
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)

Abstract

The application relates to a vehicle data acquisition method and device based on vehicle cloud cooperation, wherein the method comprises the following steps: acquiring the current resource state of the vehicle when the vehicle is started; transmitting the current resource state to a server, and receiving an acquisition adjustment strategy generated by the server based on the current resource state; and adjusting the current data acquisition strategy of the vehicle according to the acquisition adjustment strategy, acquiring the whole vehicle data of the vehicle according to the adjusted data acquisition strategy, and transmitting the whole vehicle data to the server. According to the embodiment of the application, the acquisition adjustment strategy can be determined according to the current resource state of the vehicle when the vehicle is started, so that the current data acquisition strategy is adjusted according to the acquisition adjustment strategy to acquire the data of the whole vehicle, more targeted data acquisition is realized according to different starting strategies of the vehicle, and the influence of the data acquisition on the function operation of the vehicle when the vehicle is started is reduced while the server can normally calculate.

Description

Vehicle data acquisition method and device based on vehicle cloud cooperation
Technical Field
The application relates to the technical field of Internet of vehicles, in particular to a vehicle data acquisition method and device based on vehicle cloud cooperation.
Background
In the intelligent driving technology, the vehicle can upload whole vehicle data to the cloud end, and the cloud end outputs corresponding intelligent strategies to corresponding vehicles after calculation, so that intelligent driving of the vehicle is completed, and a large amount of calculation, storage and data transmission resources are required for both the vehicle end and the cloud end.
In the related art, as in a method for configuring data collection of a server and a system thereof in publication number CN114979216a, it is proposed to establish a vehicle data collection policy management center on a cloud, and flexibly generate a configuration file according to data collection requirements of various vehicle types and store the configuration file in the server on the cloud; when the vehicle is started, the vehicle machine pulls the latest configuration file of the service end through a vehicle-mounted wireless network and distributes the latest configuration file to the centers of all control fields of the vehicle-end electronic and electric appliance framework; and the data acquisition end of the control center acquires various types of data of the vehicle according to the data acquisition configuration file requirements corresponding to each field. The vehicle data acquisition strategy center is established to flexibly select and automatically generate the configuration files required by the vehicle end according to engineering technicians, so that the service end provides vehicle pulling meeting the conditions, and the workload of manually managing the configuration files and the probability of configuration errors are reduced; meanwhile, the requirements of various data acquisition such as vehicle camera videos, radar lattice clouds and the like are met.
However, the related art only configures at the server, and does not consider the situation of vehicle resources, when configuring the vehicle to collect multiple kinds of data, the vehicle can occupy a large amount of resources to process the collected data in a short time, which results in shortage of vehicle resources, influences user function experience, and even influences driving safety. Meanwhile, mass data acquisition also consumes a large amount of cloud resources, so that the reliability and accuracy of cloud data are affected, and the operation cost of enterprises is improved; the related technology is configured only according to the vehicle type, and the configuration is pulled only when the vehicle is started, the configuration after the vehicle is started cannot be changed, and the configuration cannot be changed in time when some anomalies occur during the running of the vehicle, so that the subsequent anomaly problem treatment is affected. And a problem occurs in a single vehicle, and all vehicles of the whole vehicle type are required to be configured later, so that data redundancy is increased, and the calculation, storage and vehicle cloud transmission resource cost of other normal vehicles and cloud are increased, so that improvement is needed.
Disclosure of Invention
The application provides a vehicle data acquisition method and device based on vehicle cloud cooperation, which are used for solving the technical problems that in the related art, the occupation and processing of vehicle end resources are ignored, the configuration cannot be changed after the vehicle is started, the normal use of the vehicle is affected, and certain potential safety hazards exist.
An embodiment of a first aspect of the present application provides a vehicle data acquisition method based on vehicle cloud coordination, which is characterized in that the method is applied to a vehicle, and the method includes the following steps: acquiring the current resource state of the vehicle when the vehicle is started; sending the current resource state to a server, and receiving an acquisition adjustment strategy generated by the server based on the current resource state; and adjusting the current data acquisition strategy of the vehicle according to the acquisition adjustment strategy, acquiring the whole vehicle data of the vehicle according to the adjusted data acquisition strategy, and sending the whole vehicle data to the server.
According to the technical means, the embodiment of the application can determine the acquisition adjustment strategy according to the current resource state of the vehicle when the vehicle is started, so that the current data acquisition strategy is adjusted according to the acquisition adjustment strategy to acquire the data of the whole vehicle, thereby realizing more targeted data acquisition aiming at different starting strategies of the vehicle, ensuring that the server can normally calculate and reducing the influence of the data acquisition on the function operation when the vehicle is started.
Optionally, in an embodiment of the present application, the acquiring the whole vehicle data of the vehicle according to the adjusted data acquisition policy includes: acquiring the actual resource state of the vehicle in running; and under the condition that the actual resource state meets the preset adjustment condition, optimizing the adjusted data acquisition strategy, and acquiring the whole vehicle data of the vehicle based on the optimized data acquisition strategy.
According to the technical means, when the vehicle runs, the method and the device can judge whether the resources occupied by data acquisition affect the normal use of other functions of the vehicle, so that the data acquisition strategy is optimized, the normal use of other functions is ensured, the driving safety of the vehicle is improved, and the driving experience of a driver is improved.
Optionally, in one embodiment of the present application, before collecting the whole vehicle data of the vehicle according to the adjusted data collection policy, the method further includes: detecting whether a preset abnormal condition occurs to the vehicle; and under the condition that the occurrence of the preset abnormal condition of the vehicle is detected, acquiring the abnormal type of the vehicle, and adjusting the adjusted data according to the abnormal type.
According to the technical means, the embodiment of the application can adjust the data acquisition strategy according to the abnormal state of the vehicle, and can collect and report the abnormal data while avoiding affecting the normal operation of the vehicle.
Optionally, in one embodiment of the present application, after acquiring the abnormality type of the vehicle, the method further includes: and sending the anomaly type to the server to obtain an anomaly resolution strategy of the vehicle.
According to the technical means, the embodiment of the application can send the exception type to the server to obtain the exception solution.
An embodiment of a second aspect of the present application provides a vehicle data acquisition device based on vehicle-cloud coordination, which is characterized in that the device is applied to a vehicle, and the device includes: the acquisition module is used for acquiring the current resource state of the vehicle when the vehicle is started; the communication module is used for sending the current resource state to a server and receiving an acquisition adjustment strategy generated by the server based on the current resource state; and the acquisition module is used for adjusting the current data acquisition strategy of the vehicle according to the acquisition adjustment strategy, acquiring the whole vehicle data of the vehicle according to the adjusted data acquisition strategy and sending the whole vehicle data to the server.
Optionally, in one embodiment of the present application, the acquisition module includes: the acquisition unit is used for acquiring the actual resource state of the vehicle in running; the optimizing unit is used for optimizing the adjusted data acquisition strategy under the condition that the actual resource state meets the preset adjusting condition, and acquiring the whole vehicle data of the vehicle based on the optimized data acquisition strategy.
Optionally, in one embodiment of the present application, further includes: the detection module is used for detecting whether a preset abnormal condition occurs to the vehicle or not; the adjusting module is used for acquiring the abnormal type of the vehicle under the condition that the preset abnormal condition of the vehicle is detected, and adjusting the adjusted data according to the abnormal type.
Optionally, in one embodiment of the present application, further includes: and the sending module is used for sending the abnormality type to the server so as to obtain an abnormality solving strategy of the vehicle.
An embodiment of a third aspect of the present application provides a vehicle including: the vehicle data acquisition system comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the program to realize the vehicle data acquisition method based on the vehicle cloud cooperation.
An embodiment of a fourth aspect of the present application provides a vehicle data acquisition method based on vehicle cloud coordination, which is characterized in that the method is applied to a server, wherein the method includes the following steps: receiving a current resource state sent by at least one vehicle; generating an acquisition adjustment strategy according to the current resource state and the current data acquisition strategy of the at least one vehicle; and sending the vehicle corresponding to the acquisition adjustment strategy value.
According to the technical means, the data acquisition strategy can be adjusted by the server, so that the normal operation of other functions of the vehicle can be maintained while the vehicle acquires data.
An embodiment of a fifth aspect of the present application provides a vehicle data acquisition device based on vehicle cloud coordination, which is characterized in that the device is applied to a server, where the device includes: the receiving module is used for receiving the current resource state sent by at least one vehicle; the generation module is used for generating an acquisition adjustment strategy according to the current resource state and the current data acquisition strategy of the at least one vehicle; and the sending module is used for sending the vehicle corresponding to the acquisition adjustment strategy value.
An embodiment of a sixth aspect of the present application provides a server, including: the vehicle data acquisition system comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the program to realize the vehicle data acquisition method based on the vehicle cloud cooperation.
An embodiment of a seventh aspect of the present application provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the vehicle data collection method based on vehicle cloud cooperation as above.
The embodiment of the application has the beneficial effects that:
(1) According to the embodiment of the application, the acquisition adjustment strategy can be determined according to the current resource state of the vehicle when the vehicle is started, so that the current data acquisition strategy is adjusted according to the acquisition adjustment strategy to acquire the data of the whole vehicle, more targeted data acquisition is realized according to different starting strategies of the vehicle, and the influence of the data acquisition on the function operation of the vehicle when the vehicle is started is reduced while the server can normally calculate.
(2) The embodiment of the application can judge whether the resources occupied by the data acquisition affect the normal use of other functions of the vehicle when the vehicle runs, so as to optimize the data acquisition strategy, ensure the normal use of other functions, improve the driving safety of the vehicle and increase the driving experience of a driver.
(3) According to the embodiment of the application, the data acquisition strategy can be adjusted according to the abnormal state of the vehicle, so that the abnormal data can be collected and reported while the normal operation of the vehicle is prevented from being influenced, and the abnormal solving strategy can be acquired from the server.
Additional aspects and advantages of the application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the application.
Drawings
The foregoing and/or additional aspects and advantages of the application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:
fig. 1 is a flowchart of a vehicle data acquisition method based on vehicle cloud coordination according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a vehicle data acquisition device based on vehicle-cloud coordination according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a vehicle according to an embodiment of the present application.
FIG. 4 is a flowchart of another vehicle data collection method based on vehicle cloud coordination according to an embodiment of the present application;
FIG. 5 is a schematic diagram of a vehicle data acquisition method based on vehicle cloud coordination according to one embodiment of the application;
FIG. 6 is a schematic diagram of a vehicle data acquisition method based on vehicle cloud coordination according to another embodiment of the present application;
fig. 7 is a schematic structural diagram of another vehicle data acquisition device based on vehicle-cloud coordination according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of a server according to an embodiment of the present application.
10-a vehicle data acquisition device based on vehicle cloud cooperation; a 101-acquisition module, a 102-communication module and a 103-acquisition module; 301-memory, 302-processor and 303-communication interface; 20-a vehicle data acquisition device based on vehicle cloud cooperation; 201-a receiving module, 202-a generating module and 203-a transmitting module; 801-memory, 802-processor and 803-communication interface.
Detailed Description
Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative and intended to explain the present application and should not be construed as limiting the application.
The vehicle data acquisition method and device based on vehicle cloud cooperation in the embodiment of the application are described below with reference to the accompanying drawings. Aiming at the problems of occupying and processing vehicle-end resources and not changing configuration after the vehicle is started in the related art, the application provides a vehicle data acquisition method based on vehicle cloud coordination, which is used for solving the technical problems that the normal use of the vehicle is affected and certain potential safety hazards exist. Therefore, the technical problems that in the related art, the occupation and processing of vehicle-end resources are ignored, the configuration cannot be changed after the vehicle is started, the normal use of the vehicle is affected, and certain potential safety hazards exist are solved.
Specifically, fig. 1 is a schematic flow chart of a vehicle data acquisition method based on vehicle cloud coordination according to an embodiment of the present application.
As shown in fig. 1, the vehicle data acquisition method based on vehicle cloud cooperation is applied to a vehicle, wherein the method comprises the following steps:
in step S101, a current resource status of the vehicle at the time of startup is acquired.
It can be understood that, based on different functions of the vehicle when the vehicle is started, the current resource state of the vehicle, that is, the current resource occupation state, is different, for example, when the vehicle is provided with functions of starting an air conditioner along with starting, opening ventilation in the vehicle, automatically adjusting a seat, starting a welcome and the like, the current resource occupation is more, and at the moment, the vehicle data is collected according to the original collection strategy, so that the operation of the vehicle functions is easily affected, and the use experience is reduced.
Therefore, when the vehicle is started, the embodiment of the application can acquire the current resource state of the vehicle, namely the current resource occupation state of the vehicle, by using the whole vehicle controller, so as to carry out acquisition adjustment according to the current resource state.
In step S102, the current resource state is sent to the server, and an acquisition adjustment policy generated by the server based on the current resource state is received.
Further, the embodiment of the application can be used for sending the current resource state to the server after the current resource state of the vehicle is acquired when the vehicle is started, for example, the basic configuration of the server is pulled through a network to complete necessary data acquisition strategies, meanwhile, the vehicle end domain control resource monitoring is started, the resource condition is sent to the server acquisition center through a message, the corresponding acquisition adjustment strategy is generated by the server, further, the acquisition adjustment strategy generated based on the current resource state is received, and the real-time adjustment of different starting states of the vehicle is realized.
In step S103, the current data acquisition strategy of the vehicle is adjusted according to the acquisition adjustment strategy, the whole vehicle data of the vehicle is acquired according to the adjusted data acquisition strategy, and the whole vehicle data is sent to the server.
As a possible implementation manner, the embodiment of the application can adaptively adjust the acquisition strategy after receiving the current resource state of the vehicle end, and can increase or decrease partial data acquisition.
In the actual execution process, the vehicle CAN encapsulate the whole vehicle acquisition data when starting, reduce redundant data acquisition, divide the data into a plurality of levels according to the principles of data types, acquisition necessity and the like, determine to acquire CAN (Controller Area Network, controller area network bus) data according to specific rules, look-ahead, look-around camera data, radar lattice cloud and other data types, thereby obtaining the necessary data types for initial server configuration acquisition, and then adjust the data acquisition strategy according to the current resource state of the vehicle.
Optionally, in one embodiment of the present application, acquiring the whole vehicle data of the vehicle according to the adjusted data acquisition strategy includes: acquiring the actual resource state of the vehicle during running; under the condition that the actual resource state meets the preset adjustment condition, the adjusted data acquisition strategy is optimized, and the whole vehicle data of the vehicle is acquired based on the optimized data acquisition strategy.
Because the system calculation and storage resources are occupied by certain function starting when the vehicle runs, the embodiment of the application can adaptively reduce the collected data type when the resources are insufficient based on the acquired actual resource state of the vehicle during running, and send a message to inform the server, and meanwhile, the collected data type is increased when the system resources at the vehicle end are available. And the server is similar, and data acquisition is adaptively adjusted according to the resource condition of the server.
The preset adjustment condition may be that the CPU (Central Processing Unit ) occupies 95% of resources or the memory remains less than 10%, which may be specifically set by those skilled in the art without specific limitation.
Optionally, in one embodiment of the present application, before acquiring the whole vehicle data of the vehicle according to the adjusted data acquisition strategy, the method further includes: detecting whether a preset abnormal condition occurs to the vehicle; and under the condition that the occurrence of a preset abnormal condition of the vehicle is detected, acquiring the abnormal type of the vehicle, and adjusting the adjusted data according to the abnormal type.
In some embodiments, the method may determine whether the vehicle is abnormal according to a preset abnormal condition, where the preset abnormal condition may be that some numerical values in data of the vehicle in running exceed a historical data range, or that a certain function of the vehicle cannot normally run, and may be specifically set by a person skilled in the art.
Further, the embodiment of the application can acquire the abnormal type of the vehicle, such as signal transmission abnormality, software abnormality, hardware abnormality and the like, when the abnormality of the vehicle is detected, and adaptively adjust the acquisition strategy according to the abnormal type, such as avoiding abnormal functions and the like.
Optionally, in one embodiment of the present application, after acquiring the abnormality type of the vehicle, the method further includes: and sending the abnormality type to a server to obtain an abnormality solving strategy of the vehicle.
As a possible implementation manner, the embodiment of the application can also send the abnormality type to the server, and the server is utilized to obtain an abnormality solving strategy so as to process the abnormality of the vehicle and ensure the normal running of the vehicle.
For example, the server may establish a corresponding exception database according to different vehicle types, and store an exception resolution policy, where the database may be composed of data uploaded by the authorized vehicle end and data provided by the vehicle enterprise, so as to update in real time.
When the abnormality type uploaded by the vehicle is not matched in the abnormality database or only part of the vehicles are abnormal, the vehicle can be uniquely identified by the VIN (Vehicle Identification Number, vehicle identification code) code, and then the acquisition strategy is adjusted for the specific vehicle.
According to the vehicle data acquisition method based on the vehicle cloud cooperation, when the vehicle is started, the acquisition adjustment strategy can be determined according to the current resource state of the vehicle, so that the current data acquisition strategy is adjusted according to the acquisition adjustment strategy to acquire the whole vehicle data, more targeted data acquisition is realized according to different starting strategies of the vehicle, and the influence of the data acquisition on the function operation when the vehicle is started is reduced while the server can normally calculate. Therefore, the technical problems that in the related art, the occupation and processing of vehicle-end resources are ignored, the configuration cannot be changed after the vehicle is started, the normal use of the vehicle is affected, and certain potential safety hazards exist are solved.
Next, a vehicle data acquisition device based on vehicle cloud cooperation according to an embodiment of the application is described with reference to the accompanying drawings.
Fig. 2 is a block schematic diagram of a vehicle data acquisition device based on vehicle cloud cooperation according to an embodiment of the present application.
As shown in fig. 2, the vehicle data acquisition device 10 based on vehicle cloud cooperation is applied to a vehicle, wherein the device 10 includes: an acquisition module 101, a communication module 102 and an acquisition module 103.
Specifically, the acquiring module 101 is configured to acquire a current resource state of the vehicle at a time of starting.
The communication module 102 is configured to send the current resource status to the server, and receive an acquisition adjustment policy generated by the server based on the current resource status.
The collection module 103 is configured to adjust a current data collection policy of the vehicle according to the collection adjustment policy, collect whole vehicle data of the vehicle according to the adjusted data collection policy, and send the whole vehicle data to the server.
Optionally, in one embodiment of the present application, the acquisition module 103 includes: an acquisition unit and an optimization unit.
The acquisition unit is used for acquiring the actual resource state of the vehicle during running.
The optimizing unit is used for optimizing the adjusted data acquisition strategy under the condition that the actual resource state meets the preset adjusting condition and acquiring the whole vehicle data of the vehicle based on the optimized data acquisition strategy.
Optionally, in one embodiment of the present application, the vehicle data acquisition device 10 for vehicle cloud coordination further includes: a detection module and an adjustment module.
The detection module is used for detecting whether a preset abnormal condition occurs to the vehicle or not.
The adjusting module is used for acquiring the abnormal type of the vehicle under the condition that the occurrence of the preset abnormal condition of the vehicle is detected, and adjusting the adjusted data according to the abnormal type.
Optionally, in one embodiment of the present application, the vehicle data acquisition device 10 for vehicle cloud coordination further includes: and a transmitting module.
The sending module is used for sending the abnormality type to the server so as to obtain an abnormality solving strategy of the vehicle.
It should be noted that the foregoing explanation of the embodiment of the vehicle data collection method based on the vehicle cloud coordination is also applicable to the vehicle data collection device based on the vehicle cloud coordination of the embodiment, and will not be repeated herein.
According to the vehicle data acquisition device based on the vehicle cloud cooperation, when the vehicle is started, the acquisition adjustment strategy can be determined according to the current resource state of the vehicle, so that the current data acquisition strategy is adjusted according to the acquisition adjustment strategy to acquire the whole vehicle data, more targeted data acquisition is realized according to different starting strategies of the vehicle, and the influence of the data acquisition on the function operation when the vehicle is started is reduced while the normal calculation of the server is ensured. Therefore, the technical problems that in the related art, the occupation and processing of vehicle-end resources are ignored, the configuration cannot be changed after the vehicle is started, the normal use of the vehicle is affected, and certain potential safety hazards exist are solved.
Fig. 3 is a schematic structural diagram of a server according to an embodiment of the present application. The server may include:
memory 301, processor 302, and a computer program stored on memory 301 and executable on processor 302.
The processor 302 implements the vehicle data acquisition method based on vehicle cloud cooperation provided in the above embodiment when executing a program.
Further, the server further includes:
a communication interface 303 for communication between the memory 301 and the processor 302.
A memory 301 for storing a computer program executable on the processor 302.
The memory 301 may comprise a high-speed RAM memory or may further comprise a non-volatile memory (non-volatile memory), such as at least one disk memory.
If the memory 301, the processor 302, and the communication interface 303 are implemented independently, the communication interface 303, the memory 301, and the processor 302 may be connected to each other through a bus and perform communication with each other. The bus may be an industry standard architecture (Industry Standard Architecture, abbreviated ISA) bus, an external device interconnect (Peripheral Component, abbreviated PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, abbreviated EISA) bus, among others. The buses may be divided into address buses, data buses, control buses, etc. For ease of illustration, only one thick line is shown in fig. 3, but not only one bus or one type of bus.
Alternatively, in a specific implementation, if the memory 301, the processor 302, and the communication interface 303 are integrated on a chip, the memory 301, the processor 302, and the communication interface 303 may communicate with each other through internal interfaces.
The processor 302 may be a central processing unit (Central Processing Unit, abbreviated as CPU) or an application specific integrated circuit (Application Specific Integrated Circuit, abbreviated as ASIC) or one or more integrated circuits configured to implement embodiments of the present application.
The above description is provided for vehicle data acquisition method and device based on vehicle cloud cooperation, and the following description is provided for server application of vehicle data acquisition method and device based on vehicle cloud cooperation.
Specifically, fig. 4 is a schematic flow chart of a vehicle data acquisition method based on vehicle cloud coordination according to an embodiment of the present application.
As shown in fig. 4, the vehicle data acquisition method based on vehicle cloud cooperation is applied to a server, wherein the method comprises the following steps:
in step S401, a current resource status sent by at least one vehicle is received.
In the actual implementation process, the server in the embodiment of the application can be a vehicle enterprise terminal, a cloud platform and the like. When the server is a vehicle enterprise terminal, the current resource state sent by vehicles of various vehicle types developed by the vehicle enterprise can be received; when the server is a cloud platform, the current resource state sent by vehicles of different vehicle enterprises and different vehicle types can be received, so that data acquisition of a plurality of vehicles can be realized at the same time.
In step S402, an acquisition adjustment policy is generated based on the current resource status and the current data acquisition policy of the at least one vehicle.
As a possible implementation manner, the embodiment of the present application may generate a corresponding acquisition adjustment policy according to the received current resource status of the vehicle and the current data acquisition policy for the vehicle, so that the acquisition adjustment policy may be applicable to vehicles in different resource statuses.
In step S403, the vehicle corresponding to the acquisition adjustment policy value is transmitted.
Further, the embodiment of the application can send the vehicle corresponding to the acquisition adjustment strategy value to acquire the whole vehicle data of the vehicle, and then generate the corresponding intelligent driving strategy.
With reference to fig. 5 and fig. 6, a working principle of the vehicle data acquisition method based on vehicle cloud cooperation applied to a vehicle and a server according to an embodiment of the present application is described in detail.
Taking cloud as an example, in order to implement the vehicle data acquisition method based on vehicle cloud collaboration according to the embodiment of the present application, a structure as shown in fig. 5 and fig. 6 may be adopted.
As shown in fig. 5 and fig. 6, the structure adopted in the embodiment of the present application may include two parts, namely a vehicle end and a cloud end.
The vehicle end can comprise a vehicle end data acquisition module, a vehicle end resource and an abnormality monitoring module.
The cloud may include a cloud collection center and cloud resource monitoring.
In the actual implementation process, the cloud data acquisition center CAN be established by the vehicle enterprise, and the professional technician classifies and sorts the whole vehicle data according to the types of video, radar, CAN data and the like, and different states of the vehicle to form different acquisition strategies to be stored in the cloud data acquisition center, and meanwhile, the cloud resource monitoring module is started.
When the vehicle is started for the first time, the cloud end is connected first, a set acquisition strategy is obtained from the cloud end through a network, and basic data acquisition strategy configuration is completed. And simultaneously starting the vehicle-end domain control resource monitoring, and sending the vehicle-end resource condition and the data acquisition strategy to the cloud acquisition center through a message.
After the cloud receives the vehicle-end resource condition, the acquisition strategy can be adaptively adjusted according to the vehicle-end resource condition, and partial data acquisition can be increased or reduced so as to configure a better vehicle data acquisition strategy.
When the vehicle runs, various functions are started, various resources such as system calculation and storage are occupied, vehicle resources are dynamically changed, when the vehicle resource monitoring module monitors that the vehicle end resources are insufficient (for example, the CPU resources occupy 95% or the memory remains are less than 10%, and the like), the self-adaptive data collection type is reduced, and a cloud collection center is notified by concurrent information. Meanwhile, when the availability of the vehicle-end system resource is monitored, the collected data type is flexibly increased. The cloud collection center is the same, can self-adaptively adjust data collection strategies according to cloud resource conditions, then sends the data to the vehicle-end collection module, and the vehicle-end collection module stores collected data at the vehicle end according to the vehicle-end self resource conditions, and uploads the data to the cloud after the abnormal state of the cloud resource is relieved.
When some abnormal states occur to the vehicle, the vehicle end can initially adjust the data acquisition strategy in a self-adaptive mode according to the abnormal types and the preset abnormal acquisition strategy so as to acquire and analyze related data of the abnormal states, and the acquired data and the abnormal states are sent to a cloud acquisition center to be analyzed and processed by professional technicians. When cloud professional technicians analyze that the data acquired by the existing acquisition strategies do not meet analysis conditions, corresponding data acquisition strategies can be added to be sent to a vehicle-end acquisition module, and enough data analysis is acquired in time so as to process abnormal states and improve vehicle driving safety. And when only some vehicles are abnormal, the vehicles can be uniquely identified through VIN codes, the vehicle acquisition strategy is adjusted for specific vehicles, mass data redundancy caused by adjusting the acquisition strategy for all vehicle types is avoided, and a large amount of vehicle cloud system resources are consumed.
Based on the cooperative management of the vehicle cloud, the data acquisition strategy is adjusted timely, and on the basis of meeting the data acquisition, the resource consumption of the vehicle cloud system and the network transmission is reduced and the enterprise operation cost is reduced by dynamically adjusting the acquisition strategy under different states and resource environments of the vehicle; when the vehicle is in an abnormal state, the vehicle cloud cooperative analysis processing can be realized, and the driving experience and the safety are improved.
According to the vehicle data acquisition method based on the vehicle cloud cooperation, when the vehicle is started, the acquisition adjustment strategy can be determined according to the current resource state of the vehicle, so that the current data acquisition strategy is adjusted according to the acquisition adjustment strategy to acquire the whole vehicle data, more targeted data acquisition is realized according to different starting strategies of the vehicle, and the influence of the data acquisition on the function operation when the vehicle is started is reduced while the server can normally calculate. Therefore, the technical problems that in the related art, the occupation and processing of vehicle-end resources are ignored, the configuration cannot be changed after the vehicle is started, the normal use of the vehicle is affected, and certain potential safety hazards exist are solved.
Next, a vehicle data acquisition device based on vehicle cloud cooperation according to an embodiment of the application is described with reference to the accompanying drawings.
Fig. 7 is a block schematic diagram of a vehicle data acquisition device based on vehicle cloud cooperation according to an embodiment of the present application.
As shown in fig. 7, the vehicle data acquisition device 20 based on vehicle cloud cooperation is applied to a server, wherein the device 20 includes: a receiving module 201, a generating module 202 and a transmitting module 203.
Specifically, the receiving module 201 is configured to receive a current resource status sent by at least one vehicle.
The generating module 202 is configured to generate an acquisition adjustment policy according to the current resource status and the current data acquisition policy of the at least one vehicle.
And the sending module 203 is configured to send the vehicle corresponding to the collection adjustment policy value.
It should be noted that the foregoing explanation of the embodiment of the vehicle data collection method based on the vehicle cloud coordination is also applicable to the vehicle data collection device based on the vehicle cloud coordination of the embodiment, and will not be repeated herein.
According to the vehicle data acquisition device based on the vehicle cloud cooperation, when the vehicle is started, the acquisition adjustment strategy can be determined according to the current resource state of the vehicle, so that the current data acquisition strategy is adjusted according to the acquisition adjustment strategy to acquire the whole vehicle data, more targeted data acquisition is realized according to different starting strategies of the vehicle, and the influence of the data acquisition on the function operation when the vehicle is started is reduced while the normal calculation of the server is ensured. Therefore, the technical problems that in the related art, the occupation and processing of vehicle-end resources are ignored, the configuration cannot be changed after the vehicle is started, the normal use of the vehicle is affected, and certain potential safety hazards exist are solved.
Fig. 8 is a schematic structural diagram of a server according to an embodiment of the present application. The server may include:
a memory 801, a processor 802, and a computer program stored on the memory 801 and executable on the processor 802.
The processor 802 implements the vehicle data collection method based on the vehicle cloud coordination provided in the above embodiment when executing the program.
Further, the server further includes:
a communication interface 803 for communication between the memory 801 and the processor 802.
A memory 801 for storing a computer program executable on the processor 802.
The memory 801 may include high-speed RAM memory or may further include non-volatile memory (non-volatile memory), such as at least one magnetic disk memory.
If the memory 801, the processor 802, and the communication interface 803 are implemented independently, the communication interface 803, the memory 801, and the processor 802 may be connected to each other through a bus and perform communication with each other. The bus may be an industry standard architecture (Industry Standard Architecture, abbreviated ISA) bus, an external device interconnect (Peripheral Component, abbreviated PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, abbreviated EISA) bus, among others. The buses may be divided into address buses, data buses, control buses, etc. For ease of illustration, only one thick line is shown in fig. 8, but not only one bus or one type of bus.
Alternatively, in a specific implementation, if the memory 801, the processor 802, and the communication interface 803 are integrated on a chip, the memory 801, the processor 802, and the communication interface 803 may communicate with each other through internal interfaces.
The processor 802 may be a central processing unit (Central Processing Unit, abbreviated as CPU), or an application specific integrated circuit (Application Specific Integrated Circuit, abbreviated as ASIC), or one or more integrated circuits configured to implement embodiments of the present application.
The present embodiment also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the vehicle data acquisition method based on vehicle cloud cooperation as above.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or N embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present application, "N" means at least two, for example, two, three, etc., unless specifically defined otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and additional implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order from that shown or discussed, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present application.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or N wires, a portable computer cartridge (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It is to be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the N steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. As with the other embodiments, if implemented in hardware, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
Those of ordinary skill in the art will appreciate that all or a portion of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, where the program may be stored in a computer readable storage medium, and where the program, when executed, includes one or a combination of the steps of the method embodiments.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product.
The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like. While embodiments of the present application have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the application, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the application.

Claims (10)

1. The vehicle data acquisition method based on vehicle cloud cooperation is characterized by being applied to a vehicle, wherein the method comprises the following steps of:
acquiring the current resource state of the vehicle when the vehicle is started;
sending the current resource state to a server, and receiving an acquisition adjustment strategy generated by the server based on the current resource state; and
and adjusting the current data acquisition strategy of the vehicle according to the acquisition adjustment strategy, acquiring the whole vehicle data of the vehicle according to the adjusted data acquisition strategy, and sending the whole vehicle data to the server.
2. The method of claim 1, wherein the acquiring the vehicle data according to the adjusted data acquisition strategy comprises:
acquiring the actual resource state of the vehicle in running;
and under the condition that the actual resource state meets the preset adjustment condition, optimizing the adjusted data acquisition strategy, and acquiring the whole vehicle data of the vehicle based on the optimized data acquisition strategy.
3. The method of claim 1, further comprising, prior to collecting the vehicle data for the vehicle in accordance with the adjusted data collection strategy:
detecting whether a preset abnormal condition occurs to the vehicle;
and under the condition that the occurrence of the preset abnormal condition of the vehicle is detected, acquiring the abnormal type of the vehicle, and adjusting the adjusted data according to the abnormal type.
4. A method according to claim 3, further comprising, after acquiring the abnormality type of the vehicle:
and sending the anomaly type to the server to obtain an anomaly resolution strategy of the vehicle.
5. Vehicle data acquisition device based on car cloud cooperation, characterized in that is applied to the vehicle, wherein, the device includes:
the acquisition module is used for acquiring the current resource state of the vehicle when the vehicle is started;
the communication module is used for sending the current resource state to a server and receiving an acquisition adjustment strategy generated by the server based on the current resource state; and
the acquisition module is used for adjusting the current data acquisition strategy of the vehicle according to the acquisition adjustment strategy, acquiring the whole vehicle data of the vehicle according to the adjusted data acquisition strategy and sending the whole vehicle data to the server.
6. A vehicle, characterized by comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor executing the program to implement the vehicle data collection method based on vehicle cloud coordination as claimed in any one of claims 1 to 4.
7. The vehicle data acquisition method based on vehicle cloud cooperation is characterized by being applied to a server, wherein the method comprises the following steps of:
receiving a current resource state sent by at least one vehicle;
generating an acquisition adjustment strategy according to the current resource state and the current data acquisition strategy of the at least one vehicle; and
and sending the vehicle corresponding to the acquisition adjustment strategy value.
8. Vehicle data acquisition device based on car cloud cooperation, characterized in that is applied to the server, wherein, the device includes:
the receiving module is used for receiving the current resource state sent by at least one vehicle;
the generation module is used for generating an acquisition adjustment strategy according to the current resource state and the current data acquisition strategy of the at least one vehicle; and
and the sending module is used for sending the vehicle corresponding to the acquisition adjustment strategy value.
9. A server, comprising: the vehicle data acquisition system comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the vehicle data acquisition method based on vehicle cloud cooperation and vehicle cloud cooperation according to claim 7.
10. A computer-readable storage medium having stored thereon a computer program, wherein the program is executed by a processor for implementing the vehicle data acquisition method based on vehicle cloud cooperation according to any one of claims 1 to 4 or 7.
CN202310923623.5A 2023-07-25 2023-07-25 Vehicle data acquisition method and device based on vehicle cloud cooperation Pending CN116886727A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310923623.5A CN116886727A (en) 2023-07-25 2023-07-25 Vehicle data acquisition method and device based on vehicle cloud cooperation

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310923623.5A CN116886727A (en) 2023-07-25 2023-07-25 Vehicle data acquisition method and device based on vehicle cloud cooperation

Publications (1)

Publication Number Publication Date
CN116886727A true CN116886727A (en) 2023-10-13

Family

ID=88271311

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310923623.5A Pending CN116886727A (en) 2023-07-25 2023-07-25 Vehicle data acquisition method and device based on vehicle cloud cooperation

Country Status (1)

Country Link
CN (1) CN116886727A (en)

Similar Documents

Publication Publication Date Title
US20120277949A1 (en) Collaborative multi-agent vehicle fault diagnostic system & associated methodology
CN112650201B (en) Vehicle fault diagnosis method and device, vehicle and storage medium
CN109743342B (en) Terminal updating method, server and terminal
KR20100020253A (en) Monitoring apparatus for message transmission in network for a vehicle
KR20180029603A (en) Diagnosis method of can communication
CN115223273A (en) TCU data monitoring method and device, terminal equipment and storage medium
CN116886727A (en) Vehicle data acquisition method and device based on vehicle cloud cooperation
CN115878160B (en) ECU (electronic control Unit) upgrading method and system based on CAN (controller area network) communication
JP4258112B2 (en) Node diagnosis method and node diagnosis system
CN115484184B (en) Fault diagnosis method, fault diagnosis system, vehicle, and readable storage medium
CN116719740A (en) Data acquisition and data diagnosis method of vehicle-end application software and related equipment
CN116483649A (en) Process monitoring method and device for passenger parking system, vehicle and storage medium
CN114415646B (en) Remote vehicle diagnosis method, system and terminal equipment based on DoIP protocol
US12077146B2 (en) Process allocation control method, process allocation control system, process allocation control device, and server device
DE102022122751A1 (en) DYNAMIC RECONFIGURABLE BATTERY MANAGEMENT ARCHITECTURE
CN114296426A (en) Remote diagnosis method and device for vehicle, server and storage medium
CN114967634A (en) Processor diagnostic device, processor diagnostic method, and electronic apparatus
Palai Vehicle level approach for optimization of on-board diagnostic strategies for fault management
JP6576601B2 (en) Data processing system, data processing apparatus, and data processing program
WO2024009846A1 (en) Data provision platform, data provision system, data provision method, and program
CN117041172B (en) White box switch interface request processing method and device
CN110808894B (en) Data transmission method and device based on CAN bus
CN115499791B (en) Service-oriented communication method, device, electronic equipment and storage medium
CN118093277A (en) Node management method and related equipment
CN116132445A (en) Cloud edge computing force cooperation method and device of Internet of things, electronic equipment and storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination