CN112512016A - Data transmission method, device and system based on intelligent traffic and storage medium - Google Patents
Data transmission method, device and system based on intelligent traffic and storage medium Download PDFInfo
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- CN112512016A CN112512016A CN202110158355.3A CN202110158355A CN112512016A CN 112512016 A CN112512016 A CN 112512016A CN 202110158355 A CN202110158355 A CN 202110158355A CN 112512016 A CN112512016 A CN 112512016A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
- H04W4/44—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
- H04L1/0015—Systems modifying transmission characteristics according to link quality, e.g. power backoff characterised by the adaptation strategy
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0876—Network utilisation, e.g. volume of load or congestion level
- H04L43/0894—Packet rate
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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
- H04L67/50—Network services
- H04L67/56—Provisioning of proxy services
- H04L67/568—Storing data temporarily at an intermediate stage, e.g. caching
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/029—Location-based management or tracking services
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Abstract
The invention provides a data transmission method, a device, a system and a storage medium based on intelligent traffic, comprising the following steps: acquiring the working state information of an intelligent vehicle-mounted network terminal in a vehicle at the current moment; judging whether the working state information meets a preset transmission state condition or not; if the working state information does not meet the preset transmission state condition, storing the position information acquired by the intelligent vehicle-mounted network terminal at the current moment; and if the working state information meets the preset transmission state condition, respectively sending the position information acquired by the intelligent vehicle-mounted network terminal at the current moment and the position information stored at the previous moment to a back-end server. The method and the system can judge the state of the intelligent vehicle-mounted network terminal, judge the actual condition of the current intelligent vehicle-mounted network terminal, and upload the position information if the current intelligent vehicle-mounted network terminal has a better state. And if the current state of the intelligent vehicle-mounted network terminal is not good, caching the current position information.
Description
Technical Field
The present invention relates to data transmission technologies, and in particular, to a data transmission method, apparatus, system and storage medium based on intelligent traffic.
Background
Through the vehicle navigation system, the current position of the vehicle, the route of the target position, the required time and the like can be acquired in real time. In the process, the data of the front end of the vehicle needs to be collected and then sent to the background server for processing and calculation. However, due to the fact that the vehicle is limited by various conditions during traveling, data loss can occur, and various data processing errors can occur.
Disclosure of Invention
The embodiment of the invention provides a data transmission method, a data transmission device, a data transmission system and a storage medium based on intelligent traffic, which are used for optimizing interaction with a server in the driving process of a vehicle, effectively solving the problem of data loss by adopting a cache mode and ensuring the accuracy of data processing.
In a first aspect of the embodiments of the present invention, a data transmission method based on intelligent traffic is provided, including:
acquiring the working state information of an intelligent vehicle-mounted network terminal in a vehicle at the current moment;
judging whether the working state information meets preset transmission state conditions or not, wherein the preset transmission state conditions are preset;
if the working state information does not meet the preset transmission state condition, storing the position information acquired by the intelligent vehicle-mounted network terminal at the current moment;
and if the working state information meets a preset transmission state condition, transmitting the position information acquired by the intelligent vehicle-mounted network terminal at the current moment and/or the position information stored at the previous moment to a back-end server, wherein the position information stored at the previous moment comprises the position information acquired by the intelligent vehicle-mounted network terminal in a historical period in a position area which is the same as the position information stored at the previous moment.
Optionally, in a possible implementation manner of the first aspect, the storing the location information acquired by the intelligent vehicle-mounted network terminal at the current time includes:
the method comprises the steps of obtaining position information and a time value corresponding to the position information, and arranging the position information in sequence based on the time value.
Optionally, in a possible implementation manner of the first aspect, the operating state information is a network data transmission speed;
judging whether the working state information meets preset transmission state conditions or not, wherein the preset transmission state conditions comprise:
and comparing the network data transmission speed of the intelligent vehicle-mounted network terminal in the vehicle at the current moment with a preset transmission speed, wherein the preset transmission speed is a preset transmission state condition.
Optionally, in a possible implementation manner of the first aspect, the operating state information is a CPU occupancy rate;
judging whether the working state information meets preset transmission state conditions or not, wherein the preset transmission state conditions comprise:
and comparing the CPU occupancy rate of the intelligent vehicle-mounted network terminal in the vehicle at the current moment with a preset occupancy rate, wherein the preset occupancy rate is a preset transmission state condition.
In a second aspect of the embodiments of the present invention, a data transmission method based on intelligent traffic is provided, including:
receiving working state information sent by intelligent vehicle-mounted network terminals in a plurality of vehicles based on a network in real time, wherein the working state information comprises position information;
judging whether the working state information meets a preset transmission state condition or not;
if the working state information does not meet the preset transmission state condition, storing the position information into a cache pool, wherein the cache pool is preset;
and sequentially distributing the position information stored in the cache pool according to the form of the queue.
Optionally, in a possible implementation manner of the second aspect, the storing the location information to a cache pool includes:
judging whether the working state information meets the preset transmission state condition comprises the following steps:
acquiring the current data total amount of the position information of all the intelligent vehicle-mounted network terminals received at the current moment, and judging whether the data total amount is larger than a preset total amount or not, wherein the preset total amount is preset;
if the current data total amount of the intelligent vehicle-mounted network terminal is greater than the preset total amount, the working state information does not meet the preset transmission state condition;
the method comprises the steps of obtaining position information and a time value corresponding to the position information, and arranging the position information in sequence based on the time value.
In a third aspect of the embodiments of the present invention, a data transmission device based on intelligent traffic is provided, including:
the front-end acquisition module is used for acquiring the working state information of the intelligent vehicle-mounted network terminal in the vehicle at the current moment;
the front end judging module is used for judging whether the working state information meets preset transmission state conditions or not, wherein the preset transmission state conditions are preset;
the front-end processing module is used for storing the position information acquired by the intelligent vehicle-mounted network terminal at the current moment if the working state information does not meet the preset transmission state condition;
and if the working state information meets a preset transmission state condition, transmitting the position information acquired by the intelligent vehicle-mounted network terminal at the current moment and/or the position information stored at the previous moment to a back-end server, wherein the position information stored at the previous moment comprises the position information acquired by the intelligent vehicle-mounted network terminal in a historical period in a position area which is the same as the position information stored at the previous moment.
In a fourth aspect of the embodiments of the present invention, a data transmission device based on intelligent traffic is provided, including:
the system comprises a rear-end acquisition module, a position acquisition module and a position acquisition module, wherein the rear-end acquisition module is used for receiving working state information sent by an intelligent vehicle-mounted network terminal in a plurality of vehicles based on a network in real time, and the working state information comprises position information;
the back end judgment module is used for judging whether the working state information meets the preset transmission state condition or not;
the back-end processing module is used for storing the position information into a cache pool if the working state information does not meet the preset transmission state condition, wherein the cache pool is preset;
and the distribution module is used for sequentially distributing the position information stored in the cache pool according to the form of the queue.
In a fifth aspect of the embodiments of the present invention, a data transmission system based on intelligent traffic is provided, including:
a front-end processing unit, configured to perform the method provided by the first aspect of the present invention, and output location information;
and the back-end processing unit is used for receiving the position information sent by the plurality of front-end processing units and executing the method provided by the second aspect of the invention.
A sixth aspect of the embodiments of the present invention provides a readable storage medium, in which a computer program is stored, and the computer program is used for implementing the method according to the first aspect of the present invention and various possible designs of the first aspect of the present invention when the computer program is executed by a processor.
According to the data transmission method based on intelligent traffic, provided by the invention, the state of the intelligent vehicle-mounted network terminal can be judged, the actual condition of the current intelligent vehicle-mounted network terminal can be judged, and if the current intelligent vehicle-mounted network terminal is in a better state, the position information, namely the position information can be effectively uploaded. If the current state of the intelligent vehicle-mounted network terminal is not good, the current position information is cached, and the position information is uploaded after the state of the intelligent vehicle-mounted network terminal is recovered, so that the problem that the intelligent vehicle-mounted network terminal is easy to lose data due to the fact that the state is not good when the data are uploaded can be solved.
In addition, the data transmission method based on intelligent traffic provided by the invention can adopt different processing modes according to different position information amount, data amount and task amount of the background server, and can directly perform distribution processing when the data amount is small. When the data volume is large, the data are cached and distributed in sequence in order to avoid the data loss, so that the data loss is effectively avoided.
The invention optimizes the front end and the rear end respectively, and adopts a cache form when the working state of the front end or the rear end is bad, thereby effectively avoiding the data loss of the front end and the rear end and improving the stability of data transmission and interaction in the driving process of the vehicle.
Drawings
FIG. 1 is a flow chart of a first embodiment of the present invention;
FIG. 2 is a flow chart of a second embodiment of the present invention;
FIG. 3 is a structural view of a third embodiment of the present invention;
FIG. 4 is a structural view of a fourth embodiment of the present invention;
fig. 5 is a structural view of a fifth embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein.
It should be understood that, in various embodiments of the present invention, the sequence numbers of the processes do not mean the execution sequence, and the execution sequence of the processes should be determined by the functions and the internal logic of the processes, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
It should be understood that in the present application, "comprising" and "having" and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be understood that, in the present invention, "a plurality" means two or more. "and/or" is merely an association describing an associated object, meaning that three relationships may exist, for example, and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "comprises A, B and C" and "comprises A, B, C" means that all three of A, B, C comprise, "comprises A, B or C" means that one of A, B, C comprises, "comprises A, B and/or C" means that any 1 or any 2 or 3 of A, B, C comprises.
It should be understood that in the present invention, "B corresponding to a", "a corresponds to B", or "B corresponds to a" means that B is associated with a, and B can be determined from a. Determining B from a does not mean determining B from a alone, but may be determined from a and/or other information. And the matching of A and B means that the similarity of A and B is greater than or equal to a preset threshold value.
As used herein, "if" may be interpreted as "at … …" or "when … …" or "in response to a determination" or "in response to a detection", depending on the context.
The technical solution of the present invention will be described in detail below with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
The invention provides a data transmission method based on intelligent traffic, which is shown as a flow chart in figure 1 and comprises the following steps:
and step S110, acquiring the working state information of the intelligent vehicle-mounted network terminal in the vehicle at the current moment. The working state information may be the current network transmission speed of the intelligent vehicle-mounted network terminal, or may be the CPU occupancy rate of the intelligent vehicle-mounted network terminal. The network transmission speed and the CPU occupancy rate influence the data transmission speed and accuracy of the intelligent vehicle-mounted network terminal and the server.
Step S120, judging whether the working state information meets a preset transmission state condition, wherein the preset transmission state condition is preset.
In a possible implementation manner, the operation status information is a network data transmission speed, and step S120 includes:
step S1201, comparing the network data transmission speed of the intelligent vehicle-mounted network terminal in the vehicle at the current moment with a preset transmission speed, wherein the preset transmission speed is a preset transmission state condition.
The network data transmission speed is an important index influencing the data transmission stability between the intelligent vehicle-mounted network terminal and the background server, and when the network data transmission speed is low, the situation that the position information of the vehicle is incomplete due to data loss easily occurs, so in the embodiment, the network data transmission speed is used as an index to consider the data transmission stability.
In one possible embodiment, the operating status information is CPU occupancy, and step S20 includes:
step S1202, comparing the CPU occupancy rate of the intelligent vehicle-mounted network terminal in the vehicle at the current moment with a preset occupancy rate, wherein the preset occupancy rate is a preset transmission state condition.
The CPU occupancy is an important index that affects the stability of data transmission between the intelligent vehicle-mounted network terminal and the background server, and when the CPU occupancy is high, a situation that the position information of the vehicle is incomplete due to data loss easily occurs, so in this embodiment, the CPU occupancy is used as an index to consider the stability of data transmission.
And step S130, if the working state information does not meet the preset transmission state condition, storing the position information acquired by the intelligent vehicle-mounted network terminal at the current moment.
When the working state information does not meet the preset transmission state condition, the situation that the intelligent vehicle-mounted network terminal cannot work normally at the moment is proved, the situation that the network data transmission speed is slow or the CPU occupancy rate is high possibly occurs, and the acquired position information is stored in a cache mode at the moment.
Step S140, if the operating state information satisfies a preset transmission state condition, transmitting the location information acquired by the intelligent vehicle-mounted network terminal at the current time and/or the location information stored at the previous time to a back-end server, where the location information stored at the previous time includes location information collected by the intelligent vehicle-mounted network terminal in a same location area as the location information stored at the previous time in a historical period.
When the working state information meets the preset transmission state condition, the fact that the intelligent vehicle-mounted network terminal can work normally at the moment is proved, the situation that the network data transmission speed is low or the CPU occupancy rate is high does not occur, and the position information at the current moment is sent to the rear-end server at the moment. If the previous moment does not meet the preset transmission state condition and part of the position information is cached, the current moment sends the current moment position information and the previous moment position information to the back-end server together respectively.
The state of the intelligent vehicle-mounted network terminal can be judged, the actual condition of the current intelligent vehicle-mounted network terminal is judged, and if the state of the current intelligent vehicle-mounted network terminal is good, the position information can be effectively uploaded, namely the position information is uploaded. If the current state of the intelligent vehicle-mounted network terminal is not good, the current position information is cached, and the position information is uploaded after the state of the intelligent vehicle-mounted network terminal is recovered, so that the problem that the intelligent vehicle-mounted network terminal is easy to lose data due to the fact that the state is not good when the data are uploaded can be solved.
In a second aspect of the embodiments of the present invention, a data transmission method based on intelligent traffic is provided, as shown in the flowchart of fig. 2, including:
step S210, receiving working state information sent by intelligent vehicle-mounted network terminals in a plurality of vehicles based on a network in real time, wherein the working state information comprises position information.
Step S220, determining whether the working state information satisfies a preset transmission state condition.
In step S220, the method includes:
the method comprises the steps of obtaining the current data total amount of position information of all intelligent vehicle-mounted network terminals received at the current moment, and judging whether the data total amount is larger than a preset total amount or not, wherein the preset total amount is preset. The position information of one intelligent vehicle-mounted network terminal can be 1, and the total amount of the position data of all N locomotives is N.
Step S230, if the working state information does not meet the preset transmission state condition, storing the position information into a cache pool, wherein the cache pool is preset;
in step S230, the method further includes:
and if the total amount of the current data of the intelligent vehicle-mounted network terminal is greater than the preset total amount, storing the position information into a cache pool, wherein the cache pool is preset. When the current total data amount is larger than the preset total amount, the background server may not be able to process so many data and task amounts at the same time, so that part of the position information needs to be cached and processed in stages, thereby ensuring that the background server can work normally and avoiding the occurrence of data loss.
Step S2301 is to acquire position information and a time value corresponding to the position information, and arrange the position information in order based on the time value. Through the method, the cached position information can be queued in a queue mode, so that the back-end server can process the position information in order during processing.
And step S240, the position information stored in the buffer pool is distributed in sequence according to the form of a queue.
In addition, the data transmission method based on intelligent traffic provided by the invention can adopt different processing modes according to different position information amount, data amount and task amount of the background server, and can directly perform distribution processing when the data amount is small. When the data volume is large, the data are cached and distributed in sequence in order to avoid the data loss, so that the data loss is effectively avoided.
In a third aspect of the embodiments of the present invention, there is provided a data transmission device based on intelligent traffic, as shown in fig. 3, including:
the front-end acquisition module is used for acquiring the working state information of the intelligent vehicle-mounted network terminal in the vehicle at the current moment;
the front end judging module is used for judging whether the working state information meets preset transmission state conditions or not, wherein the preset transmission state conditions are preset;
the front-end processing module is used for storing the position information acquired by the intelligent vehicle-mounted network terminal at the current moment if the working state information does not meet the preset transmission state condition;
and if the working state information meets the preset transmission state condition, respectively sending the position information acquired by the intelligent vehicle-mounted network terminal at the current moment and the position information stored at the previous moment to a back-end server.
In a fourth aspect of the embodiments of the present invention, there is provided a data transmission device based on intelligent traffic, as shown in fig. 4, including:
the system comprises a rear-end acquisition module, a position acquisition module and a position acquisition module, wherein the rear-end acquisition module is used for receiving working state information sent by an intelligent vehicle-mounted network terminal in a plurality of vehicles based on a network in real time, and the working state information comprises position information;
the back end judgment module is used for judging whether the working state information meets the preset transmission state condition or not;
the back-end processing module is used for storing the position information into a cache pool if the working state information does not meet the preset transmission state condition, wherein the cache pool is preset;
and the distribution module is used for sequentially distributing the position information stored in the cache pool according to the form of the queue.
In a fifth aspect of the embodiments of the present invention, there is provided a data transmission system based on intelligent traffic, as shown in fig. 5, including:
a front-end processing unit, configured to perform the method provided by the first aspect of the present invention, and output location information;
and the back-end processing unit is used for receiving the position information sent by the plurality of front-end processing units and executing the method provided by the second aspect of the invention.
The invention optimizes the front end and the rear end respectively, and adopts a cache form when the working state of the front end or the rear end is bad, thereby effectively avoiding the data loss of the front end and the rear end and improving the stability of data transmission and interaction in the driving process of the vehicle.
A sixth aspect of the embodiments of the present invention provides a readable storage medium, in which a computer program is stored, and the computer program is used for implementing the method according to the first aspect of the present invention and various possible designs of the first aspect of the present invention when the computer program is executed by a processor.
The readable storage medium may be a computer storage medium or a communication medium. Communication media includes any medium that facilitates transfer of a computer program from one place to another. Computer storage media may be any available media that can be accessed by a general purpose or special purpose computer. For example, a readable storage medium is coupled to the processor such that the processor can read information from, and write information to, the readable storage medium. Of course, the readable storage medium may also be an integral part of the processor. The processor and the readable storage medium may reside in an Application Specific Integrated Circuits (ASIC). Additionally, the ASIC may reside in user equipment. Of course, the processor and the readable storage medium may also reside as discrete components in a communication device. The readable storage medium may be a read-only memory (ROM), a random-access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
The present invention also provides a program product comprising execution instructions stored in a readable storage medium. The at least one processor of the device may read the execution instructions from the readable storage medium, and the execution of the execution instructions by the at least one processor causes the device to implement the methods provided by the various embodiments described above.
In the above embodiments of the terminal or the server, it should be understood that the Processor may be a Central Processing Unit (CPU), other general-purpose processors, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A data transmission method based on intelligent traffic is characterized by comprising the following steps:
acquiring the working state information of an intelligent vehicle-mounted network terminal in a vehicle at the current moment;
judging whether the working state information meets a preset transmission state condition or not;
if the working state information does not meet the preset transmission state condition, storing the position information acquired by the intelligent vehicle-mounted network terminal at the current moment;
and if the working state information meets a preset transmission state condition, transmitting the position information acquired by the intelligent vehicle-mounted network terminal at the current moment and/or the position information stored at the previous moment to a back-end server, wherein the position information stored at the previous moment comprises the position information acquired by the intelligent vehicle-mounted network terminal in a historical period in a position area which is the same as the position information stored at the previous moment.
2. The transmission method according to claim 1,
the step of storing the position information acquired by the intelligent vehicle-mounted network terminal at the current moment comprises the following steps:
the method comprises the steps of obtaining position information and a time value corresponding to the position information, and arranging the position information in sequence based on the time value.
3. The transmission method according to claim 1,
wherein, the working state information is the network data transmission speed;
judging whether the working state information meets preset transmission state conditions or not, wherein the preset transmission state conditions comprise:
and comparing the network data transmission speed of the intelligent vehicle-mounted network terminal in the vehicle at the current moment with a preset transmission speed, wherein the preset transmission speed is a preset transmission state condition.
4. The transmission method according to claim 1,
wherein the working state information is CPU occupancy rate;
judging whether the working state information meets preset transmission state conditions or not, wherein the preset transmission state conditions comprise:
and comparing the CPU occupancy rate of the intelligent vehicle-mounted network terminal in the vehicle at the current moment with a preset occupancy rate, wherein the preset occupancy rate is a preset transmission state condition.
5. A data transmission method based on intelligent traffic is characterized by comprising the following steps:
receiving working state information sent by intelligent vehicle-mounted network terminals in a plurality of vehicles based on a network in real time, wherein the working state information comprises position information;
judging whether the working state information meets a preset transmission state condition or not;
if the working state information does not meet the preset transmission state condition, storing the position information into a cache pool, wherein the cache pool is preset;
and sequentially distributing the position information stored in the cache pool according to the form of the queue.
6. The transmission method according to claim 5,
judging whether the working state information meets the preset transmission state condition comprises the following steps:
acquiring the current data total amount of the position information of all the intelligent vehicle-mounted network terminals received at the current moment, and judging whether the data total amount is larger than a preset total amount or not, wherein the preset total amount is preset;
if the current data total amount of the intelligent vehicle-mounted network terminal is greater than the preset total amount, the working state information does not meet the preset transmission state condition;
storing the location information to a cache pool comprises:
the method comprises the steps of obtaining position information and a time value corresponding to the position information, and arranging the position information in sequence based on the time value.
7. A data transmission device based on intelligent traffic, characterized by comprising:
the front-end acquisition module is used for acquiring the working state information of the intelligent vehicle-mounted network terminal in the vehicle at the current moment;
the front end judging module is used for judging whether the working state information meets the preset transmission state condition or not;
the front-end processing module is used for storing the position information acquired by the intelligent vehicle-mounted network terminal at the current moment if the working state information does not meet the preset transmission state condition;
and if the working state information meets a preset transmission state condition, transmitting the position information acquired by the intelligent vehicle-mounted network terminal at the current moment and/or the position information stored at the previous moment to a back-end server, wherein the position information stored at the previous moment comprises the position information acquired by the intelligent vehicle-mounted network terminal in a historical period in a position area which is the same as the position information stored at the previous moment.
8. A data transmission device based on intelligent traffic, characterized by comprising:
the system comprises a rear-end acquisition module, a position acquisition module and a position acquisition module, wherein the rear-end acquisition module is used for receiving working state information sent by an intelligent vehicle-mounted network terminal in a plurality of vehicles based on a network in real time, and the working state information comprises position information;
the back end judgment module is used for judging whether the working state information meets the preset transmission state condition or not;
the back-end processing module is used for storing the position information into a cache pool if the working state information does not meet the preset transmission state condition, wherein the cache pool is preset;
and the distribution module is used for sequentially distributing the position information stored in the cache pool according to the form of the queue.
9. A data transmission system based on intelligent traffic, comprising:
a front-end processing unit for performing the method of any one of claims 1 to 4, outputting location information;
a back-end processing unit, configured to receive the location information sent by a plurality of the front-end processing units, and execute the method according to any one of claims 5 to 6.
10. A readable storage medium, in which a computer program is stored which, when being executed by a processor, is adapted to carry out the method of any one of claims 1 to 6.
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| CN202110158355.3A CN112512016A (en) | 2021-02-05 | 2021-02-05 | Data transmission method, device and system based on intelligent traffic and storage medium |
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| CN202110158355.3A CN112512016A (en) | 2021-02-05 | 2021-02-05 | Data transmission method, device and system based on intelligent traffic and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2024041004A1 (en) * | 2022-08-22 | 2024-02-29 | 中国第一汽车股份有限公司 | Method, apparatus and system for classification and variable-frequency transmission of electric vehicle data |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103124400A (en) * | 2011-11-21 | 2013-05-29 | 中兴通讯股份有限公司 | Short message cache method and system |
| US20150062352A1 (en) * | 2013-09-03 | 2015-03-05 | Samsung Electronics Co., Ltd. | Method for transmitting contents and electronic device thereof |
| CN104967497A (en) * | 2015-06-09 | 2015-10-07 | 武汉数字派特科技有限公司 | Network communication protocol-based reliable data transmission method and upgrading method |
| CN107508882A (en) * | 2017-08-18 | 2017-12-22 | 珠海市魅族科技有限公司 | A kind of method of data transfer, relevant apparatus and storage medium |
| CN110944307A (en) * | 2019-11-28 | 2020-03-31 | 北京梧桐车联科技有限责任公司 | Data transmission method, terminal, server, device and storage medium |
| CN111107123A (en) * | 2018-10-29 | 2020-05-05 | 杭州海康威视数字技术股份有限公司 | Method and device for continuous transmission in broken network |
| CN111917813A (en) * | 2019-05-10 | 2020-11-10 | 阿里云计算有限公司 | Communication method, device, equipment, system and storage medium |
-
2021
- 2021-02-05 CN CN202110158355.3A patent/CN112512016A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103124400A (en) * | 2011-11-21 | 2013-05-29 | 中兴通讯股份有限公司 | Short message cache method and system |
| US20150062352A1 (en) * | 2013-09-03 | 2015-03-05 | Samsung Electronics Co., Ltd. | Method for transmitting contents and electronic device thereof |
| CN104967497A (en) * | 2015-06-09 | 2015-10-07 | 武汉数字派特科技有限公司 | Network communication protocol-based reliable data transmission method and upgrading method |
| CN107508882A (en) * | 2017-08-18 | 2017-12-22 | 珠海市魅族科技有限公司 | A kind of method of data transfer, relevant apparatus and storage medium |
| CN111107123A (en) * | 2018-10-29 | 2020-05-05 | 杭州海康威视数字技术股份有限公司 | Method and device for continuous transmission in broken network |
| CN111917813A (en) * | 2019-05-10 | 2020-11-10 | 阿里云计算有限公司 | Communication method, device, equipment, system and storage medium |
| CN110944307A (en) * | 2019-11-28 | 2020-03-31 | 北京梧桐车联科技有限责任公司 | Data transmission method, terminal, server, device and storage medium |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2024041004A1 (en) * | 2022-08-22 | 2024-02-29 | 中国第一汽车股份有限公司 | Method, apparatus and system for classification and variable-frequency transmission of electric vehicle data |
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