CN112200933A - Data processing method and device - Google Patents
Data processing method and device Download PDFInfo
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- CN112200933A CN112200933A CN202011053575.1A CN202011053575A CN112200933A CN 112200933 A CN112200933 A CN 112200933A CN 202011053575 A CN202011053575 A CN 202011053575A CN 112200933 A CN112200933 A CN 112200933A
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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
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- 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
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Abstract
The embodiment of the invention provides a data processing method and a data processing device, wherein the method is applied to a vehicle and comprises the following steps: acquiring inertial data of the vehicle; judging whether a preset triggering event is met or not according to the inertial data; and when the preset event is triggered, generating event data aiming at the preset event. The embodiment of the invention realizes the generation of the event data of the preset event, can accurately judge whether the vehicle is scratched or collided through the inertia data, and can obtain the real-time data when the vehicle is scratched or collided through the determination of the event data of the preset event so as to determine the specific situation of the scratch or collision of the vehicle or the battery.
Description
Technical Field
The present invention relates to the field of vehicle technologies, and in particular, to a method and an apparatus for processing data.
Background
The power battery system of the electric vehicle is mostly arranged at a vehicle chassis position. When the vehicle chassis is faced to a complex road environment, the vehicle chassis is easy to cut and rub or collide, so that the batteries can be cut and rubbed or collided, when the batteries are cut and rubbed or collided, the interior of the battery cell can be extruded, and safety accidents are easy to cause.
At present, in order to protect batteries from being scratched or collided, collision prevention of the batteries is mainly focused on passive protection measures, for example, a battery anti-collision beam and a protection bottom plate are added, so that damage to a module and a battery cell during collision of the batteries can be reduced to a certain extent, however, when a vehicle runs in a complex road environment, a vehicle end cannot accurately judge whether the vehicle chassis has the scratch or collision phenomenon, and therefore whether the batteries are scratched or collided cannot be determined.
Disclosure of Invention
In view of the above, it is proposed to provide a method and apparatus for data processing that overcomes or at least partially solves the above mentioned problems, comprising:
a method of data processing for use with a vehicle, the method comprising:
acquiring inertial data of the vehicle;
judging whether a preset triggering event is met or not according to the inertial data;
and when the preset event is triggered, generating event data aiming at the preset event.
Optionally, the method further comprises:
sending the event data to a cloud platform;
and when a battery monitoring request sent by the cloud platform is received, sending battery state information aiming at the battery monitoring request to the cloud platform.
Optionally, the event data includes event level information, and the generating of the event data for the preset event when the preset event is triggered includes:
and when the preset event is triggered, generating event grade information aiming at the preset event.
Optionally, the event data further includes target video data and/or target vehicle state data, and the generating of the event data for the preset event when the preset event is triggered includes:
generating flag bit information aiming at the preset event when the preset event is triggered;
determining target video data corresponding to the zone bit information from the acquired video data;
and/or determining target vehicle state data corresponding to the zone bit information from the collected vehicle state data.
A data processing method is applied to a cloud platform and comprises the following steps:
receiving event data sent by a vehicle;
determining battery risk level information for a battery in the vehicle from the event data;
and monitoring the battery in the vehicle according to the battery risk grade information.
Optionally, the monitoring the battery in the vehicle according to the battery risk level information includes:
a battery monitoring request is sent to the vehicle according to the battery risk level information;
and receiving the battery state information which is sent by the vehicle and aims at the battery monitoring request.
Optionally, the method further comprises:
and triggering a safety alarm aiming at the battery in the vehicle according to the battery state information.
A data processing device applied to a vehicle comprises:
the inertial data acquisition module is used for acquiring inertial data of the vehicle;
the preset event judgment module is used for judging whether a trigger preset event is met or not according to the inertia data;
and the event data generation module is used for generating event data aiming at the preset event when the preset event is triggered.
An apparatus for data processing, applied to a cloud platform, the apparatus comprising:
the event data receiving module is used for receiving event data sent by the vehicle;
a battery risk level information determination module for determining battery risk level information for a battery in the vehicle according to the event data;
and the battery monitoring module is used for monitoring the battery in the vehicle according to the battery risk grade 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, when executed by the processor, implementing the steps of the method of data processing as described above.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method of data processing as set forth above.
The embodiment of the invention has the following advantages:
according to the embodiment of the invention, the inertia data of the vehicle is acquired, whether the preset event is triggered is judged according to the inertia data, the event data aiming at the preset event is generated when the preset event is triggered, the generation of the event data of the preset event is realized, whether the vehicle is cut or scratched or collided can be accurately judged according to the inertia data, and the real-time data when the vehicle is cut or scratched or collided can be obtained by determining the event data of the preset event, so that the specific situation of the cut or collided of the vehicle or the battery can be determined.
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In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the description of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
FIG. 1 is a flow chart illustrating steps of a method for data processing applied to a vehicle, in accordance with an embodiment of the present invention;
FIG. 2 is a flow chart illustrating steps of a method of another data processing method for a vehicle, according to an embodiment of the present invention;
FIG. 3 is a flowchart illustrating steps of a method for data processing applied to a cloud platform according to an embodiment of the present invention;
FIG. 4 is a block diagram of a vehicle and cloud platform according to an embodiment of the present invention;
FIG. 5 is a schematic structural diagram of a data processing apparatus applied to a vehicle according to 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.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a flowchart illustrating steps of a data processing method according to an embodiment of the present invention is provided, where the method is applied to a vehicle, and specifically may include the following steps:
in an example, the inertial data may include any one or more of:
vertical acceleration information, pitch angle velocity information.
When a vehicle runs in a complex road environment, a vehicle chassis is easy to scratch or collide, and when the vehicle chassis is scratched or collided, data collected by a sensor on the chassis is changed, for example, an abnormal value of inertia data occurs.
When the vehicle is in a power-on state and is not in a P gear (parking gear) (the non-P gear can be a gear except for the parking gear such as a driving gear and a low-speed gear), inertia data can be acquired, and then whether the chassis of the vehicle is scratched or collided or not can be judged.
In an example, the inertial data may be obtained through a sensor, specifically, the inertial data may be obtained through an inertial measurement sensor or other devices capable of collecting the inertial data, and the inertial measurement sensor or other devices capable of collecting the inertial data may be installed on a vehicle chassis or a battery near a centroid position, near a center position outside an upper case or a lower case of the battery, and near a center position inside the battery, so that the inertial data may be accurately measured, and situations such as data distortion may be avoided during transmission.
The connection between the inertial measurement sensor or other equipment for acquiring inertial data and the battery or the vehicle chassis can be rigid and fixed without flexible connection, so that signal attenuation can be effectively avoided, and the authenticity of the acquired inertial data is further ensured. A flexible link such as a rubber damping device cannot be arranged between the inertial measurement sensor and the battery; the inertial measurement sensor may be mounted on the battery housing if a rubber shock absorber is provided between the battery and the chassis.
The signal data acquired by the sensor has the characteristics of obvious data characteristics and high stability, and whether the vehicle chassis is scratched or collided or not can be accurately identified through the vertical acceleration information and the pitch angle speed information.
in an example, the preset event may be a vehicle chassis scratch event or a vehicle chassis bump event.
After the inertial data are acquired, whether the triggering preset event is met or not can be further judged according to the data characteristics of the inertial data when the vehicle chassis is scratched or collided.
For example, when a chassis is scratched during the running of a vehicle, at this time, the detected inertial data has an abnormal value, and therefore, whether a vehicle chassis scratch event exists can be determined according to whether the abnormal value exists in the inertial data.
In an example, the event data may include one or more of:
event grade information, target video data and/or target vehicle state data and event correlation information.
After judging whether the triggering preset event is met or not, if the triggering preset event is met, the fact that the triggering preset event exists in the vehicle can be determined, at the moment, event data aiming at the preset event can be generated, the event data can be stored, and the event data can be used for evaluating the specific situation of the preset event, so that important historical tracing evidence can be provided for subsequent maintenance and inspection of the vehicle, and maintenance of the vehicle is assisted.
In an embodiment of the present invention, the event data includes event level information, and the generating the event data for the preset event when the preset event is triggered includes:
and when the preset event is triggered, generating event grade information aiming at the preset event.
When the preset event is triggered, event grade information for the preset event can be further generated, and the event grade information can be used for representing the severity of the preset event and determining the occurrence probability of the preset event.
In an embodiment of the present invention, the event data further includes target video data and/or target vehicle state data, and the generating event data for the preset event when the preset event is triggered includes:
generating flag bit information aiming at the preset event when the preset event is triggered; determining target video data corresponding to the zone bit information from the acquired video data; and/or determining target vehicle state data corresponding to the zone bit information from the collected vehicle state data.
In one example, a vehicle-mounted camera can be mounted in the vehicle, and the vehicle-mounted camera is mainly used for recording the road surface state when a chassis of the vehicle is scratched or collided. Video data or images are acquired by shooting the front and rear road surfaces of the vehicle or using a high-definition video recording function.
The video data can be video data collected by a vehicle-mounted camera; the vehicle state data may be collected by various controllers or other related devices in the vehicle, and may 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, and the like.
The battery current information, the battery voltage information and the battery temperature information are collected by a 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 rotating speed of the motor, and the vertical acceleration information and the pitch angle speed information are acquired by the inertial measurement sensor.
When a preset event is triggered, flag bit information aiming at the preset event can be generated, and the flag bit information can determine the specific time when the preset event occurs, so that target video data corresponding to the flag bit information can be determined from the collected video data, the target video data is video data of a period of time before and after the preset event occurs, target whole vehicle state data corresponding to the flag bit information can also be determined from the collected whole vehicle state data, and the target whole vehicle state data is whole vehicle state data of a period of time before and after the preset event occurs.
Event data of a period of time before and after the occurrence of the preset event can be obtained through the zone bit information, and the specific condition of the preset event can be further analyzed. The severity of the preset event can be better analyzed through the image record, so that the accuracy of the preset event is improved, and important historical tracing evidence is provided for subsequent maintenance and inspection.
In an example, the event data further includes event-related information, and the generating event data for the preset event when the preset event is triggered includes:
and when the preset event is triggered, acquiring event associated information aiming at the preset event.
In an example, the event correlation data may include any one or more of:
vehicle information, trigger time information, and latitude and longitude information.
When a preset event is triggered, event-related information for the preset event can be acquired, and the event-related information is used for marking the preset event, so that the specific preset event can be conveniently traced, for example: the preset event may be recorded through basic information of the vehicle, the time when the preset event occurs, and the place where the preset event occurs.
According to the embodiment of the invention, the inertia data of the vehicle is acquired, whether the preset event is triggered is judged according to the inertia data, the event data aiming at the preset event is generated when the preset event is triggered, the generation of the event data of the preset event is realized, whether the vehicle is scratched or collided can be accurately judged through the inertia data, and the real-time data when the vehicle is scratched or collided can be obtained through the determination of the event data of the preset event, so that the specific situation that the vehicle or the battery is scratched or collided can be determined.
Referring to fig. 2, a flowchart illustrating steps of another data processing method according to an embodiment of the present invention is provided, where the method is applied to a vehicle, and specifically may include the following steps:
In an example, when a preset event is triggered, reminding information for the preset event can be generated, and the reminding information is sent to a user terminal to remind a user; and/or, the reminding message is sent to the vehicle to be displayed on a large screen, so that a driver is reminded to confirm the actual condition of the vehicle chassis in time.
the vehicle can carry out data transmission with the cloud platform through the car networking system, and after the event data is generated, the event data can be sent to the cloud platform through the car networking system to be stored and further analyzed and processed.
In an example, the battery status information may include one or more of:
battery differential pressure information, battery temperature information, and battery insulation resistance information.
The event data is specific data when the vehicle chassis is scratched or collided, and since the batteries at the chassis position may be scratched or collided when the vehicle chassis is scratched or collided, the batteries can be monitored to determine whether the performance of the batteries is deteriorated.
After the event data is sent to the cloud platform, the cloud platform can determine a battery monitoring strategy (such as a high-density state monitoring strategy or a low-density state monitoring strategy) for the battery according to the event data, so that a battery monitoring request is sent to the vehicle through the vehicle networking system according to the battery monitoring strategy, after the vehicle receives the battery monitoring request, corresponding battery state information is sent to the cloud platform according to the battery monitoring strategy from the collected battery state information, and the cloud platform can confirm the performance of the battery by analyzing the battery state information, so that the battery monitoring after scratch or collision of a vehicle chassis is realized.
In an example, after the event data is sent to the cloud platform, the cloud platform may determine a battery monitoring policy according to the event data, so as to receive battery status information sent by the vehicle according to the battery monitoring policy.
In an example, the more severe the preset event, the more frequent the battery monitoring of the cloud platform. When it is determined in the monitoring process that the battery performance is deteriorated, corresponding early warning may be initiated, for example: and sending a reminding message to the user.
The embodiment of the invention can realize the timely monitoring of the batteries when the preset events occur by acquiring the inertia data of the vehicles, judging whether preset events are met or not according to the inertia data, generating the event data aiming at the preset events when the preset events are triggered, sending the event data to the cloud platform, sending the battery state information aiming at the battery monitoring request to the cloud platform when the battery monitoring request sent by the cloud platform is received, accurately judging whether the vehicles are scratched or collided or not according to the inertia data, obtaining the real-time data when the vehicles are scratched or collided by determining through the event data generated by the preset events so as to determine the specific conditions of the scratches or the collided of the vehicles or the batteries, storing the event data through the cloud platform and receiving the battery state information, and continuously monitoring the batteries in a period of time after the vehicles are scratched or collided, the performance deterioration of the battery is avoided, and the safety risk of the battery caused by scraping or colliding of the vehicle is reduced.
Referring to fig. 3, a flowchart illustrating steps of another data processing method according to an embodiment of the present invention is shown, where the method is applied to a cloud platform, and specifically includes the following steps:
the cloud platform can be connected with the vehicle through the vehicle networking system, so that event data sent by the vehicle through the vehicle networking system can be received.
Step 302, determining battery risk level information for a battery in the vehicle according to the event data;
upon receiving the event data, the received event data may be analyzed to determine battery risk level information for a battery in the vehicle.
For example: when the event data is event grade information, the higher the grade of the event grade information is, the more serious the preset event is, therefore, the higher the possibility of the risk of the battery is, and the higher the grade of the battery risk grade information is; conversely, the lower the level of the event level information is, the less serious the preset event is, and therefore, the less likely the battery is to be at risk, the lower the level of the battery risk level information is.
And 303, monitoring the battery in the vehicle according to the battery risk level information.
After the battery risk grade information is determined, when the battery risk grade is high, the damage degree of the battery is large, and the battery can be monitored frequently; when the risk level of the battery is low, the damage degree of the battery is small, and the battery can be monitored frequently.
In an embodiment of the present invention, the monitoring the battery in the vehicle according to the battery risk level information includes:
a battery monitoring request is sent to the vehicle according to the battery risk level information; and receiving the battery state information which is sent by the vehicle and aims at the battery monitoring request.
After the battery risk level information is obtained, a battery monitoring request can be sent to the vehicle through the Internet of vehicles system, and the vehicle uploads battery state information aiming at the battery monitoring request according to the battery monitoring request, so that the cloud platform can receive the battery state information sent by the vehicle.
The method has the advantages that massive battery state data are acquired through battery monitoring, data support is provided for continuous tracking after a preset event is triggered, application of a monitoring result is better extended, and reliability of battery safety monitoring can be improved.
In an embodiment of the present invention, the method may further include:
and triggering a safety alarm aiming at the battery in the vehicle according to the battery state information.
After receiving the battery state information, the cloud platform can monitor the battery state information obtained and analyze the change trend of the battery state information, so that the performance deterioration condition of the internal components of the battery can be judged, and when the battery performance deterioration phenomenon occurs, a safety alarm for the battery in the vehicle is triggered.
In one example, the monitoring state may be maintained when there is no performance degradation phenomenon of the battery.
According to the embodiment of the invention, the battery risk grade information aiming at the battery in the vehicle is determined by receiving the event data sent by the vehicle according to the event data, and the battery in the vehicle is monitored according to the battery risk grade information, so that the monitoring of the battery is realized.
It should be noted that, for simplicity of description, the method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the illustrated order of acts, as some steps may occur in other orders or concurrently in accordance with the embodiments of the present invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no particular act is required to implement the invention.
The invention is illustrated below with reference to fig. 4:
in fig. 4, the monitoring system can be divided into two parts, namely a vehicle end and a cloud platform: the vehicle end can be composed of a monitoring controller 1, an inertia measurement sensor 2, a wheel speed sensor 3, a vehicle-mounted camera 4 and a vehicle networking system 5; the cloud platform can be divided into a safety alarm system and an instant data recording system, the safety alarm system can determine the safety level and monitor the battery state for a certain time according to the event level information; and informing the after-sales platform of safety alarm, wherein the safety alarm system comprises a battery state monitoring module 8 and a safety grade dividing module 9, and the instantaneous data recording system comprises a vehicle state information recording module 6 and a road surface state information recording module 7.
In the running process of the vehicle, the inertial measurement sensor 2 can measure vertical acceleration information and/or pitch angle speed information (inertial data), the wheel speed sensor 3 can be connected with the stability controller, and the monitoring controller can receive the vehicle speed (vehicle speed information) calculated by the stability controller according to signals collected by the wheel speed sensor or can calculate the vehicle speed according to the rotating speed of the motor.
The monitoring controller 1 is an operation unit of a monitoring algorithm, and can judge whether a trigger preset event is met or not, such as whether bottom-knocking occurs or not, according to the change of the vertical acceleration information and/or the pitch angle speed information after receiving the vertical acceleration information and/or the pitch angle speed information and receiving the vehicle speed information or the motor rotating speed information; when the bottom gouging exists, the bottom gouging grade (event grade information) and the bottom gouging zone bit information (zone bit information of a preset event) CAN be generated, and the bottom gouging grade and the bottom gouging zone bit information are sent to the whole vehicle CAN bus.
After receiving the information of the bottom-gouging zone bit through the CAN bus, the vehicle-mounted camera CAN determine high-definition video data (target video data) of several seconds before and after the bottom-gouging occurs from the recorded video data according to the information of the bottom-gouging zone bit, and transmits the high-definition video data to the vehicle networking system through the vehicle-mounted Ethernet.
After receiving the information of the bottom-gouging zone bit through the CAN bus, the vehicle networking system CAN determine the whole vehicle CAN network data (target whole vehicle state data) of several seconds before and after the bottom-gouging occurs in the whole vehicle CAN network data and store the data.
The Internet of vehicles system packages the target video data and the target whole vehicle state data, and when the target video data and the target whole vehicle state data are packaged, the obtained event associated information of the preset event is marked in the data packet and uploaded to the cloud platform together.
The safety alarm module of the cloud platform can determine a bottom-knocking level signal from uploaded data, and after the bottom-knocking level is received, the battery pack safety risk is classified into levels (battery risk level information) according to the level and the severity. And performing a high-density state monitoring strategy for the battery with high safety risk level, and performing a low-density state monitoring strategy for the battery with low safety risk level.
The battery state information monitored by the cloud platform may include key performance indexes such as battery differential pressure information, battery differential temperature information, battery insulation resistance information and the like. Within a period of time after knocking the bottom, judging the performance deterioration condition of the battery internal component by analyzing the battery state change trend, if the performance deterioration phenomenon occurs, triggering the highest level safety alarm, and if the performance deterioration phenomenon does not occur, maintaining the monitoring state
In addition, the instantaneous data recording system of the cloud platform can carry out archive management on the knock-down instantaneous data (target video data and/or target vehicle state data) according to the data packet uploaded by the vehicle end, and can be used for history tracing in the follow-up maintenance process.
Referring to fig. 5, a schematic structural diagram of a data processing apparatus provided in an embodiment of the present invention is shown, where the apparatus is applied to a vehicle, and specifically may include the following modules:
an inertial data acquisition module 501, configured to acquire inertial data of the vehicle;
a preset event determining module 502, configured to determine whether a trigger preset event is met according to the inertial data;
an event data generating module 503, configured to generate event data for the preset event when the preset event is triggered.
In one example, the inertial data includes any one or more of:
vertical acceleration information, pitch angle velocity information.
In an embodiment of the present invention, the apparatus may further include:
the event data sending module is used for sending the event data to the cloud platform;
and the monitoring module is used for sending battery state information aiming at the battery monitoring request to the cloud platform when receiving the battery monitoring request sent by the cloud platform.
In an embodiment of the present invention, the event data includes event level information, and the event data generating module 503 includes:
and the event grade information generating submodule is used for generating event grade information aiming at the preset event when the preset event is triggered.
In an embodiment of the present invention, the event data further includes target video data and/or target vehicle state data, and the event data generating module 503 includes:
the flag bit information generating submodule is used for generating flag bit information aiming at the preset event when the preset event is triggered;
the target video data determining submodule is used for determining target video data corresponding to the zone bit information from the acquired video data;
and/or the target whole vehicle state data determining module is used for determining the target whole vehicle state data corresponding to the zone bit information from the collected whole vehicle state data.
In an example, the event data further includes event correlation information, and the event data generating module 503 includes:
and the event associated information acquisition module is used for acquiring the event associated information aiming at the preset event when the preset event is triggered.
In an example, the event correlation data comprises any one or more of:
vehicle information, trigger time information, and latitude and longitude information.
According to the embodiment of the invention, the inertia data of the vehicle is acquired, whether the preset event is triggered is judged according to the inertia data, the event data aiming at the preset event is generated when the preset event is triggered, the generation of the event data of the preset event is realized, whether the vehicle is cut or scratched or collided can be accurately judged according to the inertia data, and the real-time data when the vehicle is cut or scratched or collided can be obtained by determining the event data of the preset event, so that the specific situation of the cut or collided of the vehicle or the battery can be determined.
Referring to fig. 6, a schematic structural diagram of a data processing apparatus according to an embodiment of the present invention is shown, where the apparatus is applied to a cloud platform, and specifically may include the following modules:
the event data receiving module 601 is used for receiving event data sent by a vehicle;
a battery risk level information determination module 602, configured to determine battery risk level information for a battery in the vehicle according to the event data;
and a battery monitoring module 603, configured to monitor a battery in the vehicle according to the battery risk level information.
In an embodiment of the present invention, the battery monitoring module 603 includes:
the battery monitoring request sending submodule is used for sending a battery monitoring request to the vehicle according to the battery risk level information;
and the battery state information receiving submodule is used for receiving the battery state information which is sent by the vehicle and aims at the battery monitoring request.
In an embodiment of the present invention, the battery monitoring module 603 further includes:
and the safety alarm submodule is used for triggering safety alarm aiming at the battery in the vehicle according to the battery state information.
According to the embodiment of the invention, the battery risk grade information aiming at the battery in the vehicle is determined by receiving the event data sent by the vehicle according to the event data, and the battery in the vehicle is monitored according to the battery risk grade information, so that the monitoring of the battery is realized.
An embodiment of the present invention also provides a server, which may include a processor, a memory, and a computer program stored on the memory and capable of running on the processor, and when executed by the processor, the computer program implements the method for processing data as above.
An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the above data processing method.
For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.
The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus, or 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 embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing terminal to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing terminal to cause a series of operational steps to be performed on the computer or other programmable terminal to produce a computer implemented process such that the instructions which execute on the computer or other programmable terminal provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the embodiments of the invention.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or terminal that comprises the element.
The method and apparatus for data processing provided above are described in detail, and a specific example is applied herein to illustrate the principles and embodiments of the present invention, and the above description of the embodiment is only used to help understand the method and core ideas of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (11)
1. A method of data processing, for use with a vehicle, the method comprising:
acquiring inertial data of the vehicle;
judging whether a preset triggering event is met or not according to the inertial data;
and when the preset event is triggered, generating event data aiming at the preset event.
2. The method of claim 1, further comprising:
sending the event data to a cloud platform;
and when a battery monitoring request sent by the cloud platform is received, sending battery state information aiming at the battery monitoring request to the cloud platform.
3. The method according to claim 1 or 2, wherein the event data includes event level information, and the generating the event data for the preset event when the preset event is triggered comprises:
and when the preset event is triggered, generating event grade information aiming at the preset event.
4. The method of claim 3, wherein the event data further includes target video data and/or target vehicle state data, and the generating event data for the preset event when the preset event is triggered includes:
generating flag bit information aiming at the preset event when the preset event is triggered;
determining target video data corresponding to the zone bit information from the acquired video data;
and/or determining target vehicle state data corresponding to the zone bit information from the collected vehicle state data.
5. A data processing method is applied to a cloud platform, and comprises the following steps:
receiving event data sent by a vehicle;
determining battery risk level information for a battery in the vehicle from the event data;
and monitoring the battery in the vehicle according to the battery risk grade information.
6. The method of claim 5, wherein monitoring the battery in the vehicle based on the battery risk level information comprises:
a battery monitoring request is sent to the vehicle according to the battery risk level information;
and receiving the battery state information which is sent by the vehicle and aims at the battery monitoring request.
7. The method of claim 6, further comprising:
and triggering a safety alarm aiming at the battery in the vehicle according to the battery state information.
8. A data processing apparatus, applied to a vehicle, the apparatus comprising:
the inertial data acquisition module is used for acquiring inertial data of the vehicle;
the preset event judgment module is used for judging whether a trigger preset event is met or not according to the inertia data;
and the event data generation module is used for generating event data aiming at the preset event when the preset event is triggered.
9. An apparatus for data processing, applied to a cloud platform, the apparatus comprising:
the event data receiving module is used for receiving event data sent by the vehicle;
a battery risk level information determination module for determining battery risk level information for a battery in the vehicle according to the event data;
and the battery monitoring module is used for monitoring the battery in the vehicle according to the battery risk grade information.
10. 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, when executed by the processor, implementing a method of data processing according to any one of claims 1 to 4.
11. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out a method of data processing according to any one of claims 1 to 4.
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| CN202011053575.1A CN112200933A (en) | 2020-09-29 | 2020-09-29 | Data processing method and device |
| PCT/CN2021/102346 WO2022068287A1 (en) | 2020-09-29 | 2021-06-25 | Data processing method and apparatus |
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| CN202011053575.1A CN112200933A (en) | 2020-09-29 | 2020-09-29 | Data processing method and device |
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