WO2022068287A1 - 一种数据处理的方法和装置 - Google Patents
一种数据处理的方法和装置 Download PDFInfo
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- WO2022068287A1 WO2022068287A1 PCT/CN2021/102346 CN2021102346W WO2022068287A1 WO 2022068287 A1 WO2022068287 A1 WO 2022068287A1 CN 2021102346 W CN2021102346 W CN 2021102346W WO 2022068287 A1 WO2022068287 A1 WO 2022068287A1
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- 238000003672 processing method Methods 0.000 title claims abstract description 13
- 238000000034 method Methods 0.000 claims abstract description 39
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- 238000012544 monitoring process Methods 0.000 claims description 66
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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
- G07C5/0808—Diagnosing performance data
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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
- G07C5/0816—Indicating performance data, e.g. occurrence of a malfunction
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- 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
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- 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
Definitions
- the present invention relates to the technical field of vehicles, and in particular, to a data processing method and device.
- the bump prevention of the battery mainly focuses on passive protection measures, such as adding battery anti-collision beams and protective bottom plates, which can reduce the damage to the modules and cells when the battery is bumped to a certain extent.
- passive protection measures such as adding battery anti-collision beams and protective bottom plates, which can reduce the damage to the modules and cells when the battery is bumped to a certain extent.
- the vehicle end cannot accurately determine whether the vehicle chassis is scratched or bumped, so it is impossible to determine whether the battery is scratched or bumped.
- a method for data processing, applied to a vehicle comprising:
- event data for the preset event is generated.
- the event data includes event level information
- generating event data for the preset event includes:
- event level information for the preset event is generated.
- the event data further includes target video data and/or target vehicle status data, and when the preset event is triggered, the event data for the preset event is generated, including:
- a method for data processing, applied to a cloud platform comprising:
- the battery in the vehicle is monitored according to the battery risk level information.
- the monitoring of the battery in the vehicle according to the battery risk level information includes:
- a safety alert for the battery in the vehicle is triggered.
- a data processing device applied to a vehicle, comprising:
- an inertial data acquisition module for acquiring inertial data of the vehicle
- a preset event judgment module configured to judge whether the preset event is triggered according to the inertial data
- An event data generating module configured to generate event data for the preset event when the preset event is triggered.
- a device for data processing, applied to a cloud platform comprising:
- the event data receiving module is used to receive the event data sent by the vehicle
- a battery risk level information determination module configured to determine battery risk level information for the battery in the vehicle according to the event data
- a battery monitoring module configured to monitor the battery in the vehicle according to the battery risk level information.
- a server comprising a processor, a memory, and a computer program stored on the memory and capable of running on the processor, the computer program being executed by the processor to implement the above-mentioned data processing method step.
- the present invention by acquiring inertial data of the vehicle, determining whether a preset event is satisfied to trigger according to the inertial data, and generating event data for the preset event when the preset event is triggered, so as to realize the generation of The event data of the preset event can accurately determine whether the vehicle is scratched or bumped by inertial data.
- the real-time data when the vehicle is scratched or bumped can be obtained, so as to determine whether the vehicle or battery is scratched. or the specific circumstances of the collision.
- FIG. 1 is a flowchart of steps of a method for data processing applied to a vehicle provided by an embodiment of the present invention
- FIG. 2 is a flowchart of steps of another data processing method applied to a vehicle provided by an embodiment of the present invention
- FIG. 3 is a flowchart of steps of a method for data processing applied to a cloud platform provided by an embodiment of the present invention
- FIG. 4 is a structural diagram of a vehicle and a cloud platform provided by an embodiment of the present invention.
- FIG. 5 is a schematic structural diagram of a data processing device applied to a vehicle provided by an embodiment of the present invention.
- FIG. 6 is a schematic structural diagram of a data processing apparatus applied to a cloud platform according to an embodiment of the present invention.
- FIG. 1 a flowchart of steps of a data processing method provided by an embodiment of the present invention is shown.
- the method is applied to a vehicle and may specifically include the following steps:
- Step 101 acquiring inertial data of the vehicle
- the inertial data may include any one or more of the following:
- the vehicle chassis When the vehicle is driving in a complex road environment, the vehicle chassis is prone to scratches or bumps. When the vehicle chassis is scratched or bumped, the data collected by the sensors on the chassis will change, such as abnormal values in inertial data.
- inertial data When the vehicle is powered on and not in P gear, inertial data can be obtained, and then it can be judged whether the vehicle chassis is scratched or bumped.
- inertial data can be obtained through sensors, specifically, inertial data can be obtained through inertial measurement sensors or other devices that can collect inertial data, and inertial measurement sensors or other devices that can collect inertial data can be installed on the vehicle chassis or battery.
- the upper part is close to the center of mass
- the outer part of the upper casing or lower casing of the battery is close to the center position
- the inside of the battery is close to the center position, so that the inertial data can be accurately measured and data distortion can be avoided during the transmission process.
- connection between the inertial measurement sensor or other equipment that collects inertial data and the battery or vehicle chassis may not be flexible, but rigidly fixed, which can effectively avoid signal attenuation and further ensure the authenticity of the acquired inertial data.
- There must be no flexible links such as rubber shock absorbers between the inertial measurement sensor and the battery; if there is a rubber shock absorber between the battery and the chassis, the inertial measurement sensor can be mounted on the battery housing.
- the signal data collected by the sensor has the characteristics of obvious data characteristics and high stability, and the vertical acceleration information and pitch angular velocity information can accurately identify whether the vehicle chassis is scratched or bumped.
- Step 102 determine whether the trigger preset event is satisfied
- the preset event may be a vehicle chassis rubbing event or a vehicle chassis bumping event.
- the detected inertial data will have abnormal values. Therefore, it can be determined whether there is a chassis scratching event according to whether there are abnormal values in the inertial data.
- Step 103 When the preset event is triggered, event data for the preset event is generated.
- the event data may include one or more of the following:
- Event level information target video data and/or target vehicle status data, and event related information.
- trigger preset event After judging whether the trigger preset event is satisfied, if the trigger preset event is satisfied, it can be determined that there is a trigger preset event in the vehicle. At this time, event data for the preset event can be generated, and the event data can be stored, and the event data can be used for Evaluate the specific situation of the preset event, so as to provide important historical traceability evidence for the subsequent maintenance inspection of the vehicle, and assist the maintenance of the vehicle.
- the event data includes event level information
- generating event data for the preset event includes:
- event level information for the preset event is generated.
- event level information for the preset event can be further generated, and the event level information can be used to characterize the severity of the preset event and determine the possibility of the preset event occurring.
- the event data further includes target video data and/or target vehicle state data, and when the preset event is triggered, the event data for the preset event is generated, including:
- an on-board camera may be installed in the vehicle, and the function of the on-board camera is mainly to record the road surface state when the vehicle chassis is scratched or bumped. Capture video data or images by filming the front and rear of the vehicle or using HD video recording.
- the video data can be the video data collected by the on-board camera; the vehicle status data can be collected by various controllers or other related equipment in the vehicle, and the vehicle status data can include one or more of the following: vehicle speed information, vertical acceleration Information, pitch angle speed information, accelerator opening information, brake switch information, steering wheel angle information, battery current information, battery voltage information, battery temperature information, etc.
- the battery current information, battery voltage information, and battery temperature information are collected by the battery controller;
- the vehicle speed information can be obtained by the monitoring controller by receiving the vehicle speed calculated by the stability controller or by the monitoring controller by calculating the vehicle speed according to the motor speed.
- Acceleration information and pitch angular velocity information are collected through inertial measurement sensors.
- the target video corresponding to the flag information can be determined from the collected video data.
- the target video data is the video data for a period of time before and after the preset event occurs, or the target vehicle state data corresponding to the flag information can be determined from the collected vehicle state data, and the target vehicle state data is the occurrence of the preset event.
- Vehicle status data before and after a period of time.
- event data for a period of time before and after the occurrence of the preset event can be obtained, and further analysis of the specific situation of the preset event can be realized.
- the severity of preset events can be better analyzed through image recording, which is beneficial to improve the accuracy of preset events and provide important historical traceability evidence for subsequent maintenance inspections.
- the event data further includes event correlation information, and when the preset event is triggered, generating event data for the preset event includes:
- event associated information for the preset event is acquired.
- the event-related data may include any one or more of the following:
- Vehicle information trigger time information, latitude and longitude information.
- the event association information for the preset event can be obtained, and the event association information is used to mark the preset event, which is convenient to trace the specific preset event. The time, the place where the preset event occurs, and the preset event is recorded.
- the present invention by acquiring inertial data of the vehicle, determining whether a preset event is satisfied to trigger according to the inertial data, and generating event data for the preset event when the preset event is triggered, so as to realize the generation of The event data of the preset event can accurately determine whether the vehicle is scratched or bumped through inertial data.
- the real-time data when the vehicle is scratched or bumped can be obtained, so as to determine whether the vehicle or battery is scratched. or the specific circumstances of the collision.
- FIG. 2 a flowchart of steps of another data processing method provided by an embodiment of the present invention is shown.
- the method is applied to a vehicle and may specifically include the following steps:
- Step 201 acquiring inertial data of the vehicle
- Step 202 determine whether the trigger preset event is satisfied
- Step 203 When the preset event is triggered, event data for the preset event is generated.
- reminder information for the preset event may also be generated, and the reminder information may be sent to the user terminal to remind the user; and/or, the reminder message may be sent in the vehicle.
- the large screen is displayed to remind the driver to confirm the actual condition of the vehicle chassis in time.
- Step 204 sending the event data to the cloud platform
- Vehicles can transmit data through the Internet of Vehicles system and the cloud platform. After generating event data, the event data can be sent to the cloud platform through the Internet of Vehicles system for storage and further analysis and processing.
- Step 205 When receiving the battery monitoring request sent by the cloud platform, send battery status information for the battery monitoring request to the cloud platform.
- the battery status information may include one or more of the following:
- Battery voltage difference information battery temperature information, battery insulation resistance information.
- the event data is the specific data when the vehicle chassis is scratched or bumped.
- the battery at the chassis position may be scratched or bumped. Therefore, the battery can be monitored for scratches or bumps on the vehicle chassis. to determine whether the performance of the battery has deteriorated.
- the cloud platform can determine the battery monitoring strategy for the battery according to the event data (for example: high-density status monitoring strategy or low-density status monitoring strategy, etc.), so as to follow the battery monitoring strategy through the Internet of Vehicles system.
- the vehicle sends a battery monitoring request.
- the vehicle After receiving the battery monitoring request, the vehicle sends the corresponding battery status information to the cloud platform according to the battery monitoring strategy from the collected battery status information.
- the cloud platform can confirm the performance of the battery by analyzing the battery status information. , so as to realize the battery monitoring after the vehicle chassis is scratched or bumped.
- the cloud platform may determine a battery monitoring strategy according to the event data, so as to receive battery status information sent by the vehicle according to the battery monitoring strategy.
- the more severe the preset event the higher the frequency of battery monitoring of the cloud platform.
- a corresponding early warning can be activated, for example, a reminder message is sent to the user.
- the inertial data of the vehicle is acquired, and according to the inertial data, it is determined whether the triggering of a preset event is satisfied, and when the preset event is triggered, event data for the preset event is generated, and the preset event is triggered.
- the event data is sent to the cloud platform, and when the battery monitoring request sent by the cloud platform is received, the battery status information for the battery monitoring request is sent to the cloud platform, so that when a preset event occurs, the battery is monitored.
- the inertial data can accurately determine whether the vehicle is scratched or bumped, and by generating the event data of preset events to determine, the real-time data when the vehicle is scratched or bumped can be obtained, so as to determine the specific scratch or bump of the vehicle or battery.
- the battery can be continuously monitored for a period of time after the vehicle is scratched or bumped, so as to avoid battery performance deterioration and reduce battery safety risks caused by scratches or bumps.
- FIG. 3 a flowchart of steps of another data processing method provided by an embodiment of the present invention is shown.
- the method is applied to a cloud platform, and may specifically include the following steps:
- Step 301 receiving event data sent by the vehicle
- the cloud platform can be connected with the vehicle through the vehicle networking system, so that it can receive event data sent by the vehicle through the vehicle networking system.
- Step 302 Determine battery risk level information for the battery in the vehicle according to the event data
- the received event data can be analyzed and processed to determine battery risk level information for the battery in the vehicle.
- the event data is event level information
- Step 303 monitor the battery in the vehicle according to the battery risk level information.
- the battery risk level information After determining the battery risk level information, when the battery risk level is high, the degree of damage to the battery is large, and the battery can be monitored frequently; when the battery risk level is low, the damage degree of the battery is small, and the battery can be monitored at a low frequency. monitoring.
- the monitoring of the battery in the vehicle according to the battery risk level information includes:
- a battery monitoring request can be sent to the vehicle through the IoV system, and the vehicle uploads battery status information for the battery monitoring request according to the battery monitoring request, so that the cloud platform can receive the battery status information sent by the vehicle.
- Obtaining massive battery status data through battery monitoring provides data support for continuous tracking after triggering preset events, and extends the application of monitoring results better, which can improve the reliability of battery safety monitoring.
- it may also include:
- a safety alert for the battery in the vehicle is triggered.
- the cloud platform After receiving the battery status information, the cloud platform can monitor the obtained battery status information and analyze its change trend, so as to judge the performance deterioration of the internal components of the battery. security alert.
- the monitoring state when the battery performance has no performance deterioration, the monitoring state can be maintained.
- the monitoring system can be divided into two parts: the vehicle end and the cloud platform: the vehicle end can be composed of a monitoring controller 1, an inertial measurement sensor 2, a wheel speed sensor 3, a vehicle camera 4, and a car networking system 5; the cloud platform It can be divided into a safety alarm system and an instantaneous data recording system.
- the safety alarm system can determine the safety level and monitor the battery status for a certain period of time according to the event level information; and inform the after-sales platform to give a safety alarm.
- the safety alarm system includes a battery status monitoring module. 8 and a safety level division module 9, the instantaneous data recording system includes a vehicle state information recording module 6 and a road surface state information recording module 7.
- the inertial measurement sensor 2 can measure vertical acceleration information and/or pitch angular velocity information (inertial data)
- the wheel speed sensor 3 can be connected to the stability controller
- the monitoring controller can receive information from the stability controller according to the wheel speed.
- the vehicle speed (vehicle speed information) calculated by the signal collected by the speed sensor or the monitoring controller can also calculate the vehicle speed according to the motor speed.
- the monitoring controller 1 is an arithmetic unit of the monitoring algorithm. After receiving the vertical acceleration information and/or the pitch angular velocity information, and after receiving the vehicle speed information or the motor speed information, it can change the information according to the vertical acceleration information and/or the pitch angular velocity information. , to determine whether the triggering of the preset event is satisfied, for example, whether a bottom hit occurs; when there is a bottom hit, the bottom hit level (event level information) and bottom hit flag bit information (the flag bit information of the preset event) can be generated, and the bottom hit can be generated. The information of the grade and the bottom mark is sent to the CAN bus of the whole vehicle.
- the vehicle camera After the vehicle camera receives the bottom knocking mark bit information through the CAN bus, it can determine the high-definition video data (target video data) several seconds before and after bottom knocking from the recorded video data according to the bottom knocking mark bit information, and convert the high-definition video
- the data is transmitted to the Internet of Vehicles system through the in-vehicle Ethernet.
- the car networking system After the car networking system receives the bottom knocking flag bit information through the CAN bus, it can determine the entire vehicle CAN network data (target vehicle status data) several seconds before and after the bottom knocking occurs in the vehicle CAN network data, and save it. .
- the IoV system packages the target video data and the target vehicle status data.
- the acquired event-related information of the preset event is marked in the data package and uploaded to the cloud platform together.
- the security alarm module of the cloud platform can determine the bottom knock level signal from the uploaded data. After receiving the bottom knock level, it can classify the battery pack safety risk (battery risk level information) according to the level and different severity. . For batteries with a high safety risk level, a high-density state monitoring strategy is implemented, and for batteries with a low security risk level, a low-density state monitoring strategy is implemented.
- the battery status information monitored by the cloud platform can include key performance indicators such as battery voltage difference information, battery temperature difference information, and battery insulation resistance information.
- key performance indicators such as battery voltage difference information, battery temperature difference information, and battery insulation resistance information.
- the instantaneous data recording system of the cloud platform can archive and manage the instantaneous data (target video data, target vehicle status data) based on the data package uploaded by the vehicle end, which can be used for historical traceability during subsequent maintenance.
- FIG. 5 a schematic structural diagram of a data processing apparatus provided by an embodiment of the present invention is shown.
- the apparatus is applied to a vehicle and may specifically include the following modules:
- an inertial data acquisition module 501 configured to acquire inertial data of the vehicle
- a preset event determination module 502 configured to determine whether a preset event is triggered according to the inertial data
- the event data generating module 503 is configured to generate event data for the preset event when the preset event is triggered.
- the inertial data includes any one or more of the following:
- the apparatus may further include:
- an event data sending module the application sends the event data to the cloud platform
- the monitoring module is configured to send battery status information for the battery monitoring request to the cloud platform when receiving the battery monitoring request sent by the cloud platform.
- the event data includes event level information
- the event data generating module 503 includes:
- the event level information generating sub-module is configured to generate event level information for the preset event when the preset event is triggered.
- the event data further includes target video data and/or target vehicle status data
- the event data generating module 503 includes:
- a flag bit information generation submodule for generating flag bit information for the preset event when triggering the preset event
- a target video data determination submodule used for determining the target video data corresponding to the flag bit information from the collected video data
- a target vehicle state data determination module configured to determine the target vehicle state data corresponding to the flag bit information from the collected vehicle state data.
- the event data further includes event correlation information
- the event data generating module 503 includes:
- An event-related information acquisition module configured to acquire event-related information for the preset event when the preset event is triggered.
- the event-related data includes any one or more of the following:
- Vehicle information trigger time information, latitude and longitude information.
- the present invention by acquiring inertial data of the vehicle, determining whether a preset event is satisfied to trigger according to the inertial data, and generating event data for the preset event when the preset event is triggered, so as to realize the generation of
- the event data of preset events can accurately determine whether the vehicle is scratched or bumped through inertial data.
- the real-time data when the vehicle is scratched or bumped can be obtained, so as to determine whether the vehicle or battery is scratched. or the specific circumstances of the collision.
- FIG. 6 a schematic structural diagram of a data processing apparatus provided by an embodiment of the present invention is shown.
- the apparatus is applied to a cloud platform and may specifically include the following modules:
- a battery risk level information determination module 602 configured to determine battery risk level information for the battery in the vehicle according to the event data
- the battery monitoring module 603 is configured to monitor the battery in the vehicle according to the battery risk level information.
- the battery monitoring module 603 includes:
- a battery monitoring request sending submodule used for sending a battery monitoring request to the vehicle according to the battery risk level information
- the battery state information receiving submodule is configured to receive the battery state information sent by the vehicle for the battery monitoring request.
- the battery monitoring module 603 further includes:
- a safety alarm sub-module configured to trigger a safety alarm for the battery in the vehicle according to the battery state information.
- An embodiment of the present invention also provides a server, which may include a processor, a memory, and a computer program stored in the memory and capable of running on the processor.
- the computer program is executed by the processor to implement the above data processing method.
- An embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the above data processing method is implemented.
- embodiments of the present invention may be provided as a method, an apparatus, or a computer program product. Accordingly, embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
- computer-usable storage media including, but not limited to, disk storage, CD-ROM, optical storage, etc.
- Embodiments of the present invention are described with reference to flowcharts and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the present invention. It will be understood that each process and/or block in the flowchart illustrations and/or block diagrams, and combinations of processes and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to the processor of a general purpose computer, special purpose computer, embedded processor or other programmable data processing terminal equipment to produce a machine that causes the instructions to be executed by the processor of the computer or other programmable data processing terminal equipment Means are created for implementing the functions specified in the flow or flows of the flowcharts and/or the blocks or blocks of the block diagrams.
- These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing terminal equipment to operate in a particular manner, such that the instructions stored in the computer readable memory result in an article of manufacture comprising instruction means, the The instruction means implement the functions specified in the flow or flow of the flowcharts and/or the block or blocks of the block diagrams.
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Abstract
Description
Claims (11)
- 一种数据处理的方法,其特征在于,应用于车辆,所述方法包括:获取所述车辆的惯性数据;根据所述惯性数据,判断是否满足触发预设事件;在触发所述预设事件时,生成针对所述预设事件的事件数据。
- 根据权利要求1所述的方法,其特征在于,还包括:将所述事件数据发送至云平台;在接收到所述云平台发送的电池监控请求时,向所述云平台发送针对所述电池监控请求的电池状态信息。
- 根据权利要求1或2所述的方法,其特征在于,所述事件数据包括事件等级信息,所述在触发所述预设事件时,生成针对所述预设事件的事件数据,包括:在触发所述预设事件时,生成针对所述预设事件的事件等级信息。
- 根据权利要求3所述的方法,其特征在于,所述事件数据还包括目标视频数据和/或目标整车状态数据,所述在触发所述预设事件时,生成针对所述预设事件的事件数据,包括:在触发所述预设事件时,生成针对所述预设事件的标志位信息;从采集的视频数据中,确定所述标志位信息对应的目标视频数据;和/或,从采集的整车状态数据中,确定所述标志位信息对应的目标整车状态数据。
- 一种数据处理的方法,其特征在于,应用于云平台,所述方法包括:接收车辆发送的事件数据;根据所述事件数据,确定针对所述车辆中电池的电池风险等级信息;根据所述电池风险等级信息,对所述车辆中电池进行监控。
- 根据权利要求5所述的方法,其特征在于,所述根据所述电池风险等级信息,对所述车辆中电池进行监控,包括:根据所述电池风险等级信息,向所述车辆发送的电池监控请求;接收所述车辆发送的针对所述电池监控请求的电池状态信息。
- 根据权利要求6所述的方法,其特征在于,还包括:根据所述电池状态信息,触发针对所述车辆中电池的安全告警。
- 一种数据处理的装置,其特征在于,应用于车辆,所述装置包括:惯性数据获取模块,用于获取所述车辆的惯性数据;预设事件判断模块,用于根据所述惯性数据,判断是否满足触发预设事件;事件数据生成模块,用于在触发所述预设事件时,生成针对所述预设事件的事件数据。
- 一种数据处理的装置,其特征在于,应用于云平台,所述装置包括:事件数据接收模块,用于接收车辆发送的事件数据;电池风险等级信息确定模块,用于根据所述事件数据,确定针对所述车辆中电池的电池风险等级信息;电池监控模块,用于根据所述电池风险等级信息,对所述车辆中电池进行监控。
- 一种服务器,其特征在于,包括处理器、存储器及存储在所述存储器上并能够在所述处理器上运行的计算机程序,所述计算机程序被所述处理器执行时实现如权利要求1至4中任一项所述的数据处理的方法的步骤。
- 一种计算机可读存储介质,其特征在于,所述计算机可读存储介质上存储计算机程序,所述计算机程序被处理器执行时实现如权利要求1至4中任一项所述的数据处理的方法的步骤。
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