CN114500597B - Vehicle data processing method and device - Google Patents
Vehicle data processing method and device Download PDFInfo
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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
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- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
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- H04L69/28—Timers or timing mechanisms used in protocols
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- H04L12/00—Data switching networks
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- H04L12/40—Bus networks
- H04L2012/40208—Bus networks characterized by the use of a particular bus standard
- H04L2012/40215—Controller Area Network CAN
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Abstract
The embodiment of the specification discloses a vehicle data processing method and device. The scheme comprises the following steps: acquiring first vehicle operation data of a target vehicle; the first vehicle operation data is vehicle operation data of the target vehicle in a first time period; determining differential vehicle operation data between the first vehicle operation data and second vehicle operation data; the second vehicle operation data is vehicle operation data of the target vehicle in a second time period; the second time period is an adjacent time period before the first time period; and sending the differential vehicle operation data to a server.
Description
Technical Field
The present disclosure relates to the field of vehicle technologies, and in particular, to a method and an apparatus for processing vehicle data.
Background
Along with the continuous maturity of automatic driving technology and intelligent network allies oneself with driving technology, communication technology, sensing technology and intelligent network allies oneself with technology degree of depth and fuses, intelligent network allies oneself with cloud accuse scene and becomes more complicated, and intelligent car and cloud data interaction type of cloud accuse platform are more and more frequent for the interactive data volume of car end, high in the clouds increases, needs to consume more service resources, and this also can influence the operational capacity of car end and high in the clouds.
Disclosure of Invention
The embodiment of the specification provides a vehicle data processing method and device, which are used for solving the problem of large transmission data volume in the existing vehicle data processing method.
In order to solve the above technical problems, the embodiments of the present specification are implemented as follows:
the method for processing vehicle data provided in the embodiment of the present specification includes:
acquiring first vehicle operation data of a target vehicle; the first vehicle operation data is vehicle operation data of the target vehicle in a first time period;
determining differential vehicle operation data between the first vehicle operation data and second vehicle operation data; the second vehicle operation data is vehicle operation data of the target vehicle in a second time period; the second time period is an adjacent time period before the first time period;
and sending the differential vehicle operation data to a server.
The method for processing vehicle data provided in the embodiment of the present specification includes:
acquiring differential vehicle operation data sent by a target vehicle in a first time period; the differential vehicle operation data is vehicle operation data representing a difference between first vehicle operation data and second vehicle operation data of the target vehicle; the first vehicle operation data is vehicle operation data of the target vehicle in the first time period; the second vehicle operation data is vehicle operation data of the target vehicle in a second time period; the second time period is an adjacent time period before the first time period;
Acquiring callable operation data from the determined full-quantity operation data corresponding to the second time period of the target vehicle; the callable operation data comprise operation data except for the difference vehicle operation data in the total operation data corresponding to the first time period of the target vehicle;
and obtaining full-quantity operation data corresponding to the first time period of the target vehicle according to the callable operation data and the difference vehicle operation data.
The embodiment of the present disclosure provides a vehicle data processing device, including:
the data acquisition module is used for acquiring first vehicle operation data of the target vehicle; the first vehicle operation data is vehicle operation data of the target vehicle in a first time period;
a difference data determination module for determining difference vehicle operation data between the first vehicle operation data and second vehicle operation data; the second vehicle operation data is vehicle operation data of the target vehicle in a second time period; the second time period is an adjacent time period before the first time period;
and the data sending module is used for sending the differential vehicle operation data to a server.
The embodiment of the present disclosure provides a vehicle data processing device, including:
the data acquisition module is used for acquiring differential vehicle operation data sent by the target vehicle in a first time period; the differential vehicle operation data is vehicle operation data representing a difference between first vehicle operation data and second vehicle operation data of the target vehicle; the first vehicle operation data is vehicle operation data of the target vehicle in the first time period; the second vehicle operation data is vehicle operation data of the target vehicle in a second time period; the second time period is an adjacent time period before the first time period;
the callable data determining module is used for acquiring callable operation data from the determined full-quantity operation data corresponding to the second time period of the target vehicle; the callable operation data comprise operation data except for the difference vehicle operation data in the total operation data corresponding to the first time period of the target vehicle;
and the full-quantity data generation module is used for obtaining full-quantity operation data corresponding to the first time period of the target vehicle according to the callable operation data and the difference vehicle operation data.
One embodiment of the present specification achieves the following advantageous effects:
according to the embodiment of the specification, the target vehicle can compare the vehicle operation data in the first time period with the vehicle operation data in the previous time period, determine the difference vehicle operation data between the vehicle operation data in the first time period and the vehicle operation data in the previous time period, and send the difference vehicle operation data to the server, so that the phenomenon that the same vehicle operation data is repeatedly sent to the server can be avoided, the data transmission quantity between the vehicle and the server can be reduced, and the pressure of the vehicle and the server can be reduced.
Drawings
In order to more clearly illustrate the embodiments of the present description or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present application, and that other drawings may be obtained according to these drawings without inventive effort to a person skilled in the art.
Fig. 1 is an application scenario schematic diagram of a vehicle data processing method according to an embodiment of the present disclosure;
Fig. 2 is a flow chart of a vehicle data processing method according to an embodiment of the present disclosure;
fig. 3 is a flow chart of a vehicle data processing method according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of a vehicle data processing device according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of a vehicle data processing device according to an embodiment of the present disclosure.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of one or more embodiments of the present specification more clear, the technical solutions of one or more embodiments of the present specification will be clearly and completely described below in connection with specific embodiments of the present specification and corresponding drawings. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present specification. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without undue burden, are intended to be within the scope of one or more embodiments herein.
The following describes in detail the technical solutions provided by the embodiments of the present specification with reference to the accompanying drawings.
In order to solve the drawbacks of the prior art, the present solution provides the following embodiments:
Fig. 1 is an application scenario schematic diagram of a vehicle data processing method according to an embodiment of the present disclosure. As shown in fig. 1, the method may include: the target vehicle 1 and the server 2. The target vehicle 1 may be equipped with a server, and the server may acquire operation data of the target vehicle and send the acquired operation data to the server 2; the server 2 may be a server deployed in the cloud, and may process the operation data sent by the target vehicle 1. In this embodiment of the present disclosure, the target vehicle 1 may compare the acquired vehicle operation data in the first time period with the vehicle operation data in the second time period that has been previously transmitted, determine the difference vehicle operation data different from the transmitted vehicle operation data, and transmit the difference vehicle operation data to the server 2, so that it is not necessary to transmit the total vehicle operation data in each period to the server, and it is possible to avoid repeating transmission of the same vehicle operation data to the server, and reduce the data transmission amount between the vehicle and the server, and reduce the pressures of the vehicle and the server.
Next, a method for processing vehicle data provided for the embodiments of the specification will be specifically described with reference to the accompanying drawings:
Fig. 2 is a flow chart of a vehicle data processing method according to an embodiment of the present disclosure. From the program perspective, the execution subject of the flow may be a program or an application client of an application server mounted on the vehicle.
As shown in fig. 2, the process may include the steps of:
step 202: acquiring first vehicle operation data of a target vehicle; the first vehicle operation data is vehicle operation data of the target vehicle for a first period of time.
Step 204: determining differential vehicle operation data between the first vehicle operation data and second vehicle operation data; the second vehicle operation data is vehicle operation data of the target vehicle in a second time period; the second time period is an adjacent time period prior to the first time period.
In practical application, the target vehicle can comprise a vehicle with the operation information of the vehicle to be collected, and also can be a vehicle with an automatic driving function. The target vehicle may send the operation data of the vehicle to the server according to a preset frequency or time period. For example, according to the preset frequency of 10Hz, the data can be uploaded once with the time period of 0.1 second, namely 0.1 second.
In this embodiment of the present disclosure, the first time period may be a period in which vehicle operation data is currently acquired, and the vehicle operation data in the first time period may be regarded as operation data to be sent to the server; the second time period may be a time period before the first time period, and the vehicle operation data of the second time period may be understood as operation data that has been transmitted to the server in which the vehicle operation data of the second time period has been stored.
Step 206: and sending the differential vehicle operation data to a server.
According to the embodiment of the specification, the target vehicle can compare the vehicle operation data in the first time period with the vehicle operation data in the previous time period, determine the difference vehicle operation data between the vehicle operation data in the first time period and the vehicle operation data in the previous time period, and send the difference vehicle operation data to the server, so that the phenomenon that the same vehicle operation data is repeatedly sent to the server can be avoided, the data transmission quantity between the vehicle and the server can be reduced, and the pressure of the vehicle and the server can be reduced. It should be understood that the method according to one or more embodiments of the present disclosure may include the steps in which some of the steps are interchanged as needed, or some of the steps may be omitted or deleted.
The examples of the present specification also provide some specific embodiments of the method based on the method of fig. 2, which is described below.
In practical applications, a preset communication protocol may be used to establish a connection between the target vehicle and the server, for example, a transmission control protocol (Transmission Control Protocol, TCP) connection based on bidirectional authentication of secure sockets layer (Secure Sockets Layer, SSL) may be used to establish a connection with a cloud gateway at the server side using an issued client certificate. After the vehicle is started, TCP connection can be established with the server through the vehicle-mounted equipment, and the TCP connection is used for reporting high-frequency real-time data. After the vehicle end and the server end find that any TCP connection is disconnected, the other connection can be actively disconnected, then the vehicle end actively requests reconnection, and when the vehicle end is in a non-working state (such as after flameout), the connection disconnection state can be maintained. The data transmitted by the protocol is mainly vehicle operation data, and specific data content can include vehicle Controller local area network (Controller AreaNetwork, CAN) bus data and global navigation satellite system (Global Navigation Satellite System, GNSS) data, which are used for describing driving states of the vehicle in an operation state, such as vehicle speed, course angle and the like. The specific data content can also be set according to the actual requirements.
In the embodiment of the present disclosure, a preset protocol may be defined, and the vehicle operation data may be sent to the server in the form of a data packet, where the data packet may include a data header portion and a data item portion, where the data header portion may be a data header conforming to the preset protocol, and the data item portion may represent specific data of the vehicle operation data.
Table 1 below is a schematic diagram of a data message format of a preset protocol provided in the embodiment of the present disclosure:
TABLE 1
As shown in table 1 above, the fixed header may include data items such as a message type, a remaining length, a data category, a version number, a data time stamp, a vehicle operation mode, and data attribute occupancy information, and the like, and the total length thereof may be 21 bytes.
Wherein the meaning of the individual data items can be as shown in table 2 below:
TABLE 2
In the data header in the embodiment of the present disclosure, the field that may be used to define the vehicle operation mode and the field that represents the data attribute occupation information of the data state may determine the attribute value of each attribute in the data header according to the actual situation of the vehicle operation data, so that the server may acquire the vehicle operation data of the target vehicle.
Optionally, in this embodiment of the present invention, the data header corresponding to the first vehicle operation data includes a data attribute occupation information item, where the data attribute occupation information item is used to describe a reporting state of each data item in the preset data items; the preset data items comprise data items corresponding to full-quantity operation data for representing the target vehicle; the total operation data may be all operation data of the target vehicle to be collected. The method provided in the embodiment of the present specification may further include:
Determining a occupancy attribute value of the data attribute occupancy information item in the data header according to the differential vehicle operation data;
and sending a data header containing the occupancy attribute value to the server.
The differential vehicle operation data in the embodiment of the present disclosure may include operation data corresponding to a plurality of data items in the preset data items; the determining, according to the differential vehicle operation data, a occupancy attribute value of the data attribute occupancy information item in the data header may specifically include:
determining a first data item corresponding to each operation data in the different vehicle operation data;
determining a placeholder attribute value of the first data item as a first attribute value;
determining second data items corresponding to other operation data except the difference vehicle operation number in the first vehicle operation data;
determining a placeholder attribute value of the second data item as a second attribute value;
sequencing the first attribute value and the second attribute value according to the sequence of a preset serial number to obtain a occupying attribute value of the occupying information item of the data attribute in the data header; the preset sequence number corresponds to each of the preset data items.
In practical applications, the data item may be understood as an attribute of the vehicle operation data, the specific data of the vehicle operation data may be understood as an attribute value, and the occupation attribute value corresponding to the data item may indicate whether the target vehicle sends the operation data corresponding to the data item to the server. Wherein, the occupancy attribute value corresponding to each of the differential vehicle operation data that needs to be sent to the server may be marked as the first attribute value, for example, may be marked as "1"; the second attribute value may be marked with a placeholder attribute value corresponding to each of the operational data (i.e., operational data other than the number of different vehicle operations in the first vehicle operational data) that does not need to be sent to the server, e.g., may be marked with a "0" so that the subsequent server may determine the attributes of the operational data sent and not sent by the target vehicle based on the information in the acquired data header.
The vehicle operation data in the embodiment of the present specification may include information indicating the inherent properties of the vehicle, such as a vehicle number, device state information, an automatic driving software version, etc., and may include information indicating the operation variable properties of the vehicle, such as a speed, a longitude, a latitude, an altitude, a heading angle, a position accuracy, a gear, a steering wheel angle, a lamp state, an acceleration, an accelerator opening, an engine output rotation speed, an engine torque, a brake pedal flag, a brake pedal opening, a brake antilock system (AntilockBrake System, ABS) state, a traction control system (Traction Control System, TCS) state, a body electronic stability system (Electronic Stability Program, ESP) state, an adaptive cruise control system (Adaptive Cruise Control, ACC) state, etc., and the information indicating the operation variable properties of the vehicle may have different states under different driving environments.
In this embodiment of the present disclosure, a corresponding sequence number may be set for each data item corresponding to the full amount of operation data, each operation data may be sent to the server according to a sequence order of the sequence numbers, and a placeholder attribute value of a data attribute placeholder information item in a data header may be determined based on the sequence order of the sequence numbers, where the placeholder attribute value may be a string composed of a first attribute value and a second attribute value.
Table 3 below is a schematic diagram of attribute definitions of data items of vehicle operation data provided in the embodiments of the present specification:
TABLE 3 Table 3
As shown in table 3, in the embodiment of the present specification, information such as a corresponding serial number, item name, field length, source, description, and the like may be set for each data item. In practical applications, after the definition of the attribute of the data item of the vehicle operation data is completed, the definition may be sent to the server, so that the server parses the data sent by the target vehicle according to the definition.
In practical application, after the target vehicle starts or establishes a connection with the server, the running data of the vehicle may start to be sent to the server according to a preset frequency or period, and the running data of the vehicle in the first time period may be all sent to the server, that is, the whole quantity of the running data of the vehicle in the first time period may be sent to the server, and optionally, in the embodiment of the present disclosure, if the running data of the first vehicle is the running data in the first time period, the running data of the first vehicle may be sent to the server as the difference running data of the vehicle.
In order to more clearly illustrate the data transmission method provided in the embodiments of the present specification, the beneficial effects of the method provided in the embodiments of the present specification are illustrated by comparing with the prior art.
Assuming that the connection is initially established with the server after the target vehicle is started, the actual period of transmitting data is denoted as a T-th period, the target vehicle can report the total amount of the attribute defined by the preset protocol, the attribute which is not collected can report the default value, and the length of the message which is sent to the server at this time is 163 bytes (including the header 21 bytes and the data item 142 bytes) according to the attribute definitions shown in the table 1 and the table 3.
TABLE 4 Table 4
Table 4 above is a schematic diagram of a prior art data message format provided in the embodiment of the present disclosure, and according to the message format shown in table 4, the message length that the target vehicle needs to send to the server in the T-th period is 154 bytes (including the fixed header 12 bytes and the data item 142 bytes).
In the running process of the vehicle, the attribute values of the timestamp (8 byte), the speed (2 byte), the longitude (4 byte), the latitude (4 byte), the gear (1 byte), the acceleration (2 byte) and the ABS state (1 byte) in the vehicle running data of the current period (t+1 period) relative to the previous period (T period) are changed, namely, the data items are different vehicle running data which need to be sent to a server, and the 7 attribute values are reported in a message data field, so that the data attribute occupation information can be in a manner shown in the following table 5. The message length of the current period is 43 bytes (fixed header 21 bytes, data item 22 bytes). If the message length that the vehicle needs to send to the server in the conventional interactive mode is 154 bytes (fixed header 12 bytes, data item 142 bytes) in the manner shown in table 4 above.
| 57 | 56 | 55 | ... | 12 | 11 | 10 | 9 | 8 | 7 | 6 | 5 | 4 | 3 | 2 | 1 | 0 |
| 0 | 1 | 0 | ... | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 |
TABLE 5
Similarly, in the next data transmission period, it is assumed that the next t+2 period changes with respect to the timestamp (8 byte), longitude (4 byte) and latitude (4 byte) attribute values in the t+1 period, that is, 3 attribute values may be reported in the message data segment, where the data attribute occupancy information may be in a manner shown in the following table 6, in practical application, the attribute value corresponding to the data attribute occupancy information item in the data header may be a character string shown in the second row, and the length of the message reported by the vehicle in the existing interaction manner is 154byte (fixed header 12byte, data item 142 byte).
| 57 | 56 | 55 | ... | 12 | 11 | 10 | 9 | 8 | 7 | 6 | 5 | 4 | 3 | 2 | 1 | 0 |
| 0 | 0 | 0 | ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 |
TABLE 6
Table 7 below is a schematic diagram of the data transfer amount between the target vehicle and the server by 24 hours of monitoring using the method provided in the examples of the present specification and the method in the related art.
With the increase of service time and the increase of the number of the network-connected target vehicles, the transmission data volume between the vehicles and the servers is larger, the pressure on the vehicle end and the servers is also obvious, and by adopting the vehicle data processing method provided by the embodiment of the specification, the data transmission volume between the vehicles and the servers can be reduced, the pressure of the vehicles and the servers is reduced, and the service performance of the servers in the automatic driving and network-connected driving scenes can be improved.
Under the automatic driving and intelligent networking scenes, the running state of the target vehicle is more stable under the control of the server or auxiliary control, for example, under the highway road condition constant speed cruising mode, the relative state variables of vehicle running data are fewer, and the running speed and the lane state are relatively stable in the intelligent vehicle auxiliary driving process.
The data header in the embodiment of the present specification may further include a vehicle operation mode item; the method provided by the embodiment of the specification can further include:
acquiring an operation mode of the target vehicle;
and determining the running mode attribute value of the running mode item of the vehicle in the data header according to the running mode of the target vehicle.
Alternatively, the operating mode of the target vehicle may include a cruise mode or a non-cruise mode. Wherein the operation mode attribute value of the vehicle operation mode item in the data header may be determined to be a third attribute value when the target vehicle is in the cruise mode, for example, may be "1"; the operation mode attribute value of the vehicle operation mode item in the data header may be determined to be a fourth attribute value when the target vehicle is in the non-cruise mode, for example, may be "0". In practical application, the attribute value may be set according to the actual requirement, and the specific representation form of the attribute value is not limited here.
In the embodiment of the present disclosure, the frequency of sending the operation data may also be determined according to the operation mode of the target vehicle, for example, the preset cruise frequency may be used to report data in the cruise mode, and the preset standard frequency may be used to report data in the non-cruise mode, where the preset cruise frequency may be lower than the preset standard frequency. Optionally, the method provided in the embodiment of the present specification may further include: the duration of the first time period is determined according to the operating mode of the target vehicle.
Based on the same thought, the embodiment of the specification also provides a processing method of the vehicle data executed by the server side corresponding to the method.
Fig. 3 is a flowchart of a vehicle data processing method according to an embodiment of the present disclosure. From the program perspective, the execution subject of the flow may be a program installed on the server side.
As shown in fig. 3, the process may include the steps of:
step 302: acquiring differential vehicle operation data sent by a target vehicle in a first time period; the differential vehicle operation data is vehicle operation data representing a difference between first vehicle operation data and second vehicle operation data of the target vehicle; the first vehicle operation data is vehicle operation data of the target vehicle in the first time period; the second vehicle operation data is vehicle operation data of the target vehicle in a second time period; the second time period is an adjacent time period prior to the first time period.
In this embodiment of the present disclosure, the server may be a server that is mounted on a cloud and may acquire operation data of a target vehicle.
Step 304: acquiring callable operation data from the determined full-quantity operation data corresponding to the second time period of the target vehicle; the callable operation data includes operation data other than the difference vehicle operation data in the full-scale operation data corresponding to the first time period of the target vehicle.
The total amount of operation data may be all operation data that the target vehicle needs to send to the server according to a preset protocol, for example, each data item in table 3 above.
Step 306: and obtaining full-quantity operation data corresponding to the first time period of the target vehicle according to the callable operation data and the difference vehicle operation data.
According to the embodiment of the specification, the server can receive the difference vehicle operation data sent by the target vehicle, so that the number of data transmission between the target vehicle and the server can be reduced, and the pressure of the vehicle and the server can be reduced.
In this embodiment of the present disclosure, the header of the data packet may include a data attribute occupation information item of the overall operation data reporting status of the target vehicle, and according to the attribute value of the data attribute occupation information item, the operation data attribute of the target vehicle that is sent and not sent to the server may be determined.
Optionally, the method described in the embodiments of the present specification may further include:
receiving a data header corresponding to the first vehicle operation data sent by the target vehicle; the data header comprises data attribute occupation information items, wherein the data attribute occupation information items are used for describing the reporting state of each data item in preset data items; the preset data items comprise data items corresponding to full-quantity operation data for representing the target vehicle;
the obtaining callable operation data from the determined full-quantity operation data corresponding to the second time period of the target vehicle specifically includes:
determining a data item corresponding to the callable operation data according to the occupation attribute value corresponding to the data attribute occupation information item; wherein the data item can be used for representing the attribute of each operation data, and the attribute value represents the numerical value of the operation data;
determining a preset serial number of a data item corresponding to the callable operation data;
and acquiring callable operation data from the determined full operation data corresponding to the second time period of the target vehicle according to the preset serial number.
According to the embodiment of the specification, the target vehicle can send the operation data of each data item to be sent to the server according to the preset sequence number sequence, the server can determine which data item information is uploaded by the target vehicle according to the attribute value of the data attribute occupying information item in the data header, and then the operation data acquired at present can be supplemented according to the operation data of the previous period, so that the full operation data corresponding to the current period is obtained.
Continuing to the above table 5 and table 6, the server acquires the running data reported by the whole quantity of the target vehicle in the T-th period, acquires the running data corresponding to the time stamp, the speed, the longitude, the latitude, the gear, the acceleration and the ABS state in the t+1-th period, wherein the characters corresponding to the data attribute station position information in the data header can be "1", the other data items can be "0", the server can acquire the running data corresponding to each data item marked as "0" from the whole quantity of the running data acquired in the T-th period according to the sequence of the serial number, and supplements the running data acquired in the t+1-th period to obtain the whole quantity of the running data in the t+1-th period.
Similarly, for the t+2 cycle, operation data corresponding to other data items except for the timestamp, the longitude and the latitude can be obtained from the determined total operation data of the t+1 cycle, so that the total operation data of the t+2 cycle is obtained.
In the embodiment of the specification, each operation data can be sent according to the sequence of the preset serial numbers, and the accuracy of data transmission can be improved.
In consideration of practical application, the data demander of the vehicle operation data may need the server to provide the operation data of the target vehicle collected according to the preset frequency, for example, the data demander needs to obtain the operation data of the target vehicle in units of 0.1 second, and in the embodiment of the present disclosure, the server may further refine the determined full-size operation data in combination with the position of the target vehicle, so as to further meet the requirement of the data demander.
Optionally, a vehicle running mode item may be further included in the data header in the embodiment of the present disclosure; the method may further comprise:
determining that the operation mode of the target vehicle is a cruising mode according to the vehicle operation mode item;
and according to the total operation data corresponding to the first time period, combining a preset high-precision map to obtain the total operation data of the target vehicle in preset frequency.
The preset frequency may be greater than or equal to a frequency corresponding to the first time period. The specific size may be set according to actual requirements, and is not particularly limited herein.
It is assumed that the data demander needs to acquire the operation data of the target vehicle in units of 0.1 seconds, that is, needs to determine the operation data of the target vehicle every 0.1 seconds. Assuming that the target vehicle is in stationary operation, the vehicle operation mode is switched to the cruise mode, at which time the target vehicle transmits vehicle operation data to the server at a frequency of 5Hz, it can be understood that the server acquires the operation data in units of 0.2 seconds. The server can obtain full-quantity operation data of the current period according to the received vehicle operation data, and then obtains operation data of the target vehicle corresponding to the target time by utilizing a preset vehicle perception operation planning algorithm in combination with the position of the target vehicle, the driving route of the target vehicle and a high-precision map, wherein the target time can comprise the time corresponding to the preset frequency.
For example, the operation data acquired by the server at the 1 st second is a, and the corresponding full operation data is A1; the operation data acquired in the 1.2 th second is B, the corresponding full-quantity operation data is B1, and then the full-quantity operation data of the target vehicle in the 1.3 th second, 1.4 th second, 1.5 th second and other moments can be calculated forward by combining a high-precision map, a vehicle perception planning algorithm and the like.
In order to improve the accuracy of calculation, in the embodiment of the present disclosure, vehicle operation data at a time between two periods may be calculated comprehensively according to the acquired operation data of two adjacent periods, in combination with a high-precision map, a vehicle perception planning algorithm, and the like. For example, if the target vehicle is in the constant speed cruising mode from 1 st second to 1.2 nd second, the longitude and latitude of the target vehicle at 1 st second may be determined according to the longitude and latitude of the target vehicle at 1 st second and 1.2 nd second, in combination with the position of the target vehicle driving route.
In practical application, the running data of the target vehicle can be perfected by combining the road test equipment sensing data. In the embodiment of the present disclosure, the pre-trained neural network model may also be used to calculate the total operational data of the target vehicle in the preset frequency.
In practical application, the data acquisition frequency of the non-cruise mode can be set according to the requirement of the data demand side, so that the operation data of the target vehicle acquired in the non-cruise mode can meet the requirement of the data demand side. If the operation data of the target vehicle collected in the non-cruise mode does not meet the requirement of the data demand party, the full-quantity operation data of the target vehicle meeting the preset frequency can be calculated according to the method.
Based on the same thought, the embodiment of the present disclosure further provides an apparatus corresponding to the method shown in fig. 2. Fig. 4 is a schematic structural diagram of a vehicle data processing device according to an embodiment of the present disclosure. As shown in fig. 4, the apparatus may include:
a data acquisition module 402 for acquiring first vehicle operation data of a target vehicle; the first vehicle operation data is vehicle operation data of the target vehicle in a first time period;
a difference data determination module 404 for determining difference vehicle operation data between the first vehicle operation data and second vehicle operation data; the second vehicle operation data is vehicle operation data of the target vehicle in a second time period; the second time period is an adjacent time period before the first time period;
And a data sending module 406, configured to send the differential vehicle operation data to a server.
Based on the same thought, the embodiment of the present disclosure further provides an apparatus corresponding to the method shown in fig. 3. Fig. 5 is a schematic structural diagram of a vehicle data processing device according to an embodiment of the present disclosure. As shown in fig. 5, the apparatus may include:
the data acquisition module 502 is configured to acquire differential vehicle operation data sent by the target vehicle in a first time period; the differential vehicle operation data is vehicle operation data representing a difference between first vehicle operation data and second vehicle operation data of the target vehicle; the first vehicle operation data is vehicle operation data of the target vehicle in the first time period; the second vehicle operation data is vehicle operation data of the target vehicle in a second time period; the second time period is an adjacent time period before the first time period;
a callable data determining module 504, configured to obtain callable operation data from the determined full-scale operation data corresponding to the second time period of the target vehicle; the callable operation data comprise operation data except for the difference vehicle operation data in the total operation data corresponding to the first time period of the target vehicle;
And a full-volume data generating module 506, configured to obtain full-volume operation data corresponding to the first time period of the target vehicle according to the callable operation data and the differential vehicle operation data.
Based on the same thought, the embodiment of the specification also provides equipment corresponding to the method. The processing device for vehicle data provided in the embodiment of the present specification may include:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor,
for the method of processing vehicle data of fig. 2, the instructions are executed by the at least one processor to enable the at least one processor to:
acquiring first vehicle operation data of a target vehicle; the first vehicle operation data is vehicle operation data of the target vehicle in a first time period;
determining differential vehicle operation data between the first vehicle operation data and second vehicle operation data; the second vehicle operation data is vehicle operation data of the target vehicle in a second time period; the second time period is an adjacent time period before the first time period;
And sending the differential vehicle operation data to a server.
For the method of processing vehicle data as described in fig. 3, the instructions are executed by the at least one processor to enable the at least one processor to:
acquiring differential vehicle operation data sent by a target vehicle in a first time period; the differential vehicle operation data is vehicle operation data representing a difference between first vehicle operation data and second vehicle operation data of the target vehicle; the first vehicle operation data is vehicle operation data of the target vehicle in the first time period; the second vehicle operation data is vehicle operation data of the target vehicle in a second time period; the second time period is an adjacent time period before the first time period;
acquiring callable operation data from the determined full-quantity operation data corresponding to the second time period of the target vehicle; the callable operation data comprise operation data except for the difference vehicle operation data in the total operation data corresponding to the first time period of the target vehicle;
and obtaining full-quantity operation data corresponding to the first time period of the target vehicle according to the callable operation data and the difference vehicle operation data.
Based on the same thought, the embodiment of the specification also provides a computer readable medium corresponding to the method. The computer readable medium has stored thereon computer readable instructions executable by a processor to implement the method of processing vehicle data described above.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for the above-described apparatus, since it is substantially similar to the method embodiments, the description is relatively simple, and reference is made to the description of the method embodiments in part.
In the 90 s of the 20 th century, improvements to one technology could clearly be distinguished as improvements in hardware (e.g., improvements to circuit structures such as diodes, transistors, switches, etc.) or software (improvements to the process flow). However, with the development of technology, many improvements of the current method flows can be regarded as direct improvements of hardware circuit structures. Designers almost always obtain corresponding hardware circuit structures by programming improved method flows into hardware circuits. Therefore, an improvement of a method flow cannot be said to be realized by a hardware entity module. For example, a programmable logic device (Programmable Logic Device, PLD) (e.g., field programmable gate array (Field Programmable Gate Array, FPGA)) is an integrated circuit whose logic function is determined by the programming of the device by a user. The designer programs itself to "integrate" a digital system onto a single PLD without requiring the chip manufacturer to design and fabricate application specific integrated circuit chips. Moreover, nowadays, instead of manually manufacturing integrated circuit chips, such programming is mostly implemented by using "logic compiler" software, which is similar to the software compiler used in program development and writing, and the original code before the compiling is also written in a specific programming language, which is called hardware description language (Hardware Description Language, HDL), but not just one of the hdds, but a plurality of kinds, such as ABEL (Advanced Boolean Expression Language), AHDL (Altera Hardware Description Language), confluence, CUPL (Cornell University Programming Language), HDCal, JHDL (Java Hardware Description Language), lava, lola, myHDL, PALASM, RHDL (Ruby Hardware Description Language), etc., VHDL (Very-High-Speed Integrated Circuit Hardware Description Language) and Verilog are currently most commonly used. It will also be apparent to those skilled in the art that a hardware circuit implementing the logic method flow can be readily obtained by merely slightly programming the method flow into an integrated circuit using several of the hardware description languages described above.
The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer readable medium storing computer readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, application specific integrated circuits (Application Specific Integrated Circuit, ASIC), programmable logic controllers, and embedded microcontrollers, examples of which include, but are not limited to, the following microcontrollers: ARC625D, atmelAT91SAM, microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic of the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller in a pure computer readable program code, it is well possible to implement the same functionality by logically programming the method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers, etc. Such a controller may thus be regarded as a kind of hardware component, and means for performing various functions included therein may also be regarded as structures within the hardware component. Or even means for achieving the various functions may be regarded as either software modules implementing the methods or structures within hardware components.
The system, apparatus, module or unit set forth in the above embodiments may be implemented in particular by a computer chip or entity, or by a product having a certain function. One typical implementation is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
For convenience of description, the above devices are described as being functionally divided into various units, respectively. Of course, the functions of each element may be implemented in one or more software and/or hardware elements when implemented in the present application.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, 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, 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.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows 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 a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, 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 apparatus 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 apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application 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.
The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and changes may be made to the present application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. which are within the spirit and principles of the present application are intended to be included within the scope of the claims of the present application.
Claims (7)
1. A method of processing vehicle data, comprising:
acquiring first vehicle operation data of a target vehicle; the first vehicle operation data is vehicle operation data of the target vehicle in a first time period;
determining differential vehicle operation data between the first vehicle operation data and second vehicle operation data; the second vehicle operation data is vehicle operation data of the target vehicle in a second time period; the second time period is an adjacent time period before the first time period;
transmitting the differential vehicle operation data to a server;
the data header corresponding to the first vehicle operation data comprises a data attribute occupation information item, wherein the data attribute occupation information item is used for describing the reporting state of each data item in preset data items; the preset data items comprise data items corresponding to full-quantity operation data for representing the target vehicle; the total operation data are all operation data of the target vehicle to be acquired;
The method further comprises the steps of:
determining a occupancy attribute value of the data attribute occupancy information item in the data header according to the differential vehicle operation data; the method comprises the following steps: determining a first data item corresponding to each operation data in the different vehicle operation data; determining a placeholder attribute value of the first data item as a first attribute value; determining second data items corresponding to other operation data except the difference vehicle operation number in the first vehicle operation data; determining a placeholder attribute value of the second data item as a second attribute value; sequencing the first attribute value and the second attribute value according to the sequence of a preset serial number to obtain a occupying attribute value of the occupying information item of the data attribute in the data header; the preset serial number corresponds to each data item in the preset data items;
and sending a data header containing the occupancy attribute value to the server.
2. The method of claim 1, wherein the data header further includes a vehicle operation mode item therein;
the method further comprises the steps of:
acquiring an operation mode of the target vehicle;
and determining the running mode attribute value of the running mode item of the vehicle in the data header according to the running mode of the target vehicle.
3. The method of claim 2, wherein the operating mode of the target vehicle includes a cruise mode or a non-cruise mode.
4. A method of processing vehicle data, comprising:
acquiring differential vehicle operation data sent by a target vehicle in a first time period; the differential vehicle operation data is vehicle operation data representing a difference between first vehicle operation data and second vehicle operation data of the target vehicle; the first vehicle operation data is vehicle operation data of the target vehicle in the first time period; the second vehicle operation data is vehicle operation data of the target vehicle in a second time period; the second time period is an adjacent time period before the first time period;
acquiring callable operation data from the determined full-quantity operation data corresponding to the second time period of the target vehicle; the callable operation data comprise operation data except for the difference vehicle operation data in the total operation data corresponding to the first time period of the target vehicle; the total operation data are all operation data of the target vehicle to be acquired;
Obtaining full-quantity operation data corresponding to the first time period of the target vehicle according to the callable operation data and the difference vehicle operation data;
wherein the method further comprises: receiving a data header corresponding to the first vehicle operation data sent by the target vehicle; the data header comprises data attribute occupation information items, wherein the data attribute occupation information items are used for describing the reporting state of each data item in preset data items; the preset data items comprise data items corresponding to full-quantity operation data for representing the target vehicle;
the obtaining callable operation data from the determined full-quantity operation data corresponding to the second time period of the target vehicle specifically includes:
determining a data item corresponding to the callable operation data according to the occupation attribute value corresponding to the data attribute occupation information item;
determining a preset serial number of a data item corresponding to the callable operation data;
and acquiring callable operation data from the determined full operation data corresponding to the second time period of the target vehicle according to the preset serial number.
5. The method of claim 4, wherein the data header further includes a vehicle operation mode item therein;
The method further comprises the steps of:
determining that the operation mode of the target vehicle is a cruising mode according to the vehicle operation mode item;
and according to the total operation data corresponding to the first time period, combining a preset high-precision map to obtain the total operation data of the target vehicle in preset frequency.
6. A processing apparatus for vehicle data, comprising:
the data acquisition module is used for acquiring first vehicle operation data of the target vehicle; the first vehicle operation data is vehicle operation data of the target vehicle in a first time period;
a difference data determination module for determining difference vehicle operation data between the first vehicle operation data and second vehicle operation data; the second vehicle operation data is vehicle operation data of the target vehicle in a second time period; the second time period is an adjacent time period before the first time period;
the data sending module is used for sending the differential vehicle operation data to a server;
the data header corresponding to the first vehicle operation data comprises a data attribute occupation information item, wherein the data attribute occupation information item is used for describing the reporting state of each data item in preset data items; the preset data items comprise data items corresponding to full-quantity operation data for representing the target vehicle; the total operation data are all operation data of the target vehicle to be acquired; the device is also for: determining a occupancy attribute value of the data attribute occupancy information item in the data header according to the differential vehicle operation data; the method comprises the following steps: determining a first data item corresponding to each operation data in the different vehicle operation data; determining a placeholder attribute value of the first data item as a first attribute value; determining second data items corresponding to other operation data except the difference vehicle operation number in the first vehicle operation data; determining a placeholder attribute value of the second data item as a second attribute value; sequencing the first attribute value and the second attribute value according to the sequence of a preset serial number to obtain a occupying attribute value of the occupying information item of the data attribute in the data header; the preset serial number corresponds to each data item in the preset data items; and sending a data header containing the occupancy attribute value to the server.
7. A processing apparatus for vehicle data, comprising:
the data acquisition module is used for acquiring differential vehicle operation data sent by the target vehicle in a first time period; the differential vehicle operation data is vehicle operation data representing a difference between first vehicle operation data and second vehicle operation data of the target vehicle; the first vehicle operation data is vehicle operation data of the target vehicle in the first time period; the second vehicle operation data is vehicle operation data of the target vehicle in a second time period; the second time period is an adjacent time period before the first time period;
the callable data determining module is used for acquiring callable operation data from the determined full-quantity operation data corresponding to the second time period of the target vehicle; the callable operation data comprise operation data except for the difference vehicle operation data in the total operation data corresponding to the first time period of the target vehicle; the total operation data are all operation data of the target vehicle to be acquired;
the full-quantity data generation module is used for obtaining full-quantity operation data corresponding to the first time period of the target vehicle according to the callable operation data and the difference vehicle operation data;
Wherein the device is further for: receiving a data header corresponding to the first vehicle operation data sent by the target vehicle; the data header comprises data attribute occupation information items, wherein the data attribute occupation information items are used for describing the reporting state of each data item in preset data items; the preset data items comprise data items corresponding to full-quantity operation data for representing the target vehicle;
the obtaining callable operation data from the determined full-quantity operation data corresponding to the second time period of the target vehicle specifically includes:
determining a data item corresponding to the callable operation data according to the occupation attribute value corresponding to the data attribute occupation information item;
determining a preset serial number of a data item corresponding to the callable operation data;
and acquiring callable operation data from the determined full operation data corresponding to the second time period of the target vehicle according to the preset serial number.
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