CN112218273A - Terminal uplink data distribution control method, device and system - Google Patents
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Abstract
The invention discloses a terminal uplink data distribution control method, device and system, and relates to the field of Internet of things. The method comprises the following steps: counting the total number of the terminals reporting data in the current terminal next data reporting time period; determining the specific time of the next data reporting of the current terminal according to the cloud service processing capacity and the total number of the terminals; and sending the specific time to the current terminal so that the current terminal reports data according to the specific time. According to the method and the device, the data reporting time of the device is managed and controlled in a centralized mode, the concurrency quantity of the uplink data of the terminal in unit total time is reduced, the purpose of shunting the uplink data of the device is achieved, and the capacity of processing the uplink data by cloud application is improved.
Description
Technical Field
The disclosure relates to the field of internet of things, and in particular relates to a method, a device and a system for controlling terminal uplink data distribution.
Background
The Internet of Things is an important component of a new generation of information technology, and is mature in recent years, wherein low power consumption is a main characteristic of NB-IoT (Narrow Band Internet of Things) technology, but the NB-IoT low power consumption is mainly realized at the expense of real-time performance.
The traditional NB-IoT technology application scene comprises remote timing data meter reading of water, electricity and gas equipment and the like, uplink meter reading data of the equipment is generally executed in a timer mode in the equipment, when large-scale Internet of things equipment executes uplink data reporting at the same time node, the cloud application platform cannot be processed enough and goes down, and the connection of a base station RRC (Radio Resource Control) is increased, so that impact is caused to a network. When the problem occurs, the problem is generally solved by increasing the server resources of the cloud application platform, optimizing the network and the like, and the purposes of saving the server resources and reducing the impact on the network cannot be achieved.
Disclosure of Invention
The technical problem to be solved by the present disclosure is to provide a method, an apparatus, and a system for controlling uplink data splitting of a terminal, which can implement uplink data splitting of a device and improve the capability of a cloud application in processing uplink data.
According to an aspect of the present disclosure, a method for controlling terminal uplink data offloading is provided, including: counting the total number of the terminals reporting data in the current terminal next data reporting time period; determining the specific time of the next data reporting of the current terminal according to the cloud service processing capacity and the total number of the terminals; and sending the specific time to the current terminal so that the current terminal reports data according to the specific time.
In one embodiment, determining the specific time when the current terminal reports data next time according to the cloud service processing capacity and the total number of the terminals includes: determining whether the cloud has the capability of processing data reported by all terminals according to the cloud service processing capability and the total number of the terminals; if the cloud end has the capacity of processing the data reported by all the terminals, determining the specific time of the current terminal for reporting the data next time in a unit time average distribution mode; if the cloud end does not have the capacity of processing the data reported by all the terminals, the time period for reporting the data by the current terminal is preset or delayed, and whether the cloud end has the capacity of processing the data reported by all the terminals in the time period for reporting the data by the preset or delayed current terminal is judged again.
In one embodiment, determining the specific time when the current terminal reports data next time in a unit time average distribution manner includes: determining the time for processing the data reported by each terminal by the cloud; and determining the specific time of the current terminal in the next reporting time period according to a time average distribution mode.
In one embodiment, when the terminal is started for the first time, the terminal is registered and authenticated according to the terminal unique identifier.
In one embodiment, the next data reporting time period of the current terminal is determined according to the period parameters carried by the current terminal.
In another embodiment of the present disclosure, a terminal uplink data offloading control device includes: the terminal data counting unit is configured to count the total number of the terminals reporting data in the next data reporting time period of the current terminal; the specific time determining unit is configured to determine the specific time of the data reported next time by the current terminal according to the cloud service processing capacity and the total number of the terminals; and the specific time issuing unit is configured to send the specific time to the current terminal so that the current terminal reports the data according to the specific time.
In one embodiment, the specific time determination unit is configured to determine whether the cloud has the capability of processing data reported by all the terminals according to the cloud service processing capability and the total number of the terminals; if the cloud end has the capacity of processing the data reported by all the terminals, determining the specific time of the current terminal for reporting the data next time in a unit time average distribution mode; if the cloud end does not have the capacity of processing the data reported by all the terminals, the time period for reporting the data by the current terminal is preset or delayed, and whether the cloud end has the capacity of processing the data reported by all the terminals in the time period for reporting the data by the preset or delayed current terminal is judged again.
In one embodiment, the specific time determination unit is configured to determine the time used by the cloud for processing the data reported by each terminal; and determining the specific time of the current terminal in the next reporting time period according to a time average distribution mode.
According to another aspect of the present disclosure, a terminal uplink data offloading control device is further provided, including: a memory; and a processor coupled to the memory, the processor configured to perform the method as described above based on instructions stored in the memory.
According to another aspect of the present disclosure, a terminal uplink data offloading control system is further provided, including: a plurality of terminals; and the terminal uplink data shunt control device.
According to another aspect of the present disclosure, a computer-readable storage medium is also proposed, on which computer program instructions are stored, which instructions, when executed by a processor, implement the above-described method.
Compared with the prior art, the method and the device have the advantages that the specific time of the current terminal for reporting data next time is determined according to the cloud service processing capacity and the total number of the terminals, the centralized control of the data reporting time of the device is realized, the concurrent quantity of the uplink data of the terminal in unit total time is reduced, the purpose of shunting the uplink data of the device is realized, and the capacity of processing the uplink data by cloud application is improved.
Other features of the present disclosure and advantages thereof will become apparent from the following detailed description of exemplary embodiments thereof, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description, serve to explain the principles of the disclosure.
The present disclosure may be more clearly understood from the following detailed description, taken with reference to the accompanying drawings, in which:
fig. 1 is a flowchart illustrating an embodiment of a method for controlling uplink data offloading of a terminal according to the present disclosure.
Fig. 2 is a flowchart illustrating another embodiment of the terminal uplink data offloading control method according to the present disclosure.
Fig. 3 is a schematic structural diagram of an embodiment of a terminal uplink data offloading control device according to the present disclosure.
Fig. 4 is a schematic structural diagram of another embodiment of the terminal uplink data offloading control device according to the present disclosure.
Fig. 5 is a schematic structural diagram of another embodiment of the terminal uplink data offloading control device according to the present disclosure.
Detailed Description
Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. It should be noted that: the relative arrangement of the components and steps, the numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present disclosure unless specifically stated otherwise.
Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description.
The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the disclosure, its application, or uses.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.
In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
For the purpose of promoting a better understanding of the objects, aspects and advantages of the present disclosure, reference is made to the following detailed description taken in conjunction with the accompanying drawings.
Fig. 1 is a flowchart illustrating an embodiment of a method for controlling uplink data offloading of a terminal according to the present disclosure.
In step 110, the total number of terminals reporting data in the next data reporting time period of the current terminal is counted. The terminal is, for example, an internet of things terminal, and specifically, for example, an optical cable box, a manhole cover, a street lamp, a fire hydrant, and the like. The terminal can carry a data reporting period parameter when reporting the service data each time, and the cloud application can determine the next data reporting time period of the terminal according to the period parameter.
In step 120, the specific time of the current terminal reporting data next time is determined according to the cloud service processing capacity and the total number of the terminals.
For example, whether the cloud has the ability to process data reported by all terminals is determined according to the cloud service processing capacity and the total number of the terminals, and if so, the specific time of the current terminal for reporting the data next time is determined in a unit time average distribution mode; if the current terminal does not have the capacity, the time period of data reporting by the current terminal is preset or delayed, whether the cloud end has the capacity of processing the data reported by all the terminals in the time period of data reporting by the preset or delayed current terminal is judged again, if so, the specific time of data reporting by the current terminal next time is determined in a unit time average distribution mode, and otherwise, the time period of data reporting by the current terminal is continuously preset or delayed.
In step 130, the specific time is sent to the current terminal, so that the current terminal reports data according to the specific time. Namely, when the terminal reports the service data next time, the data reporting is carried out according to the specific time.
In the embodiment, the specific time for the current terminal to report data next time is determined according to the cloud service processing capacity and the total number of the terminals, so that the centralized control of the data reporting time of the equipment is realized, the concurrent quantity of the uplink data of the terminals in unit total time is reduced, the purpose of shunting the uplink data of the equipment is realized, and the capacity of processing the uplink data by the cloud application is improved.
Fig. 2 is a flowchart illustrating another embodiment of the terminal uplink data offloading control method according to the present disclosure.
In step 210, when the terminal of the internet of things is first enabled, a registration authentication request is initiated to the cloud application, where the registration authentication request carries a terminal unique identifier, and the terminal unique identifier is, for example, an IMEI (International Mobile Equipment Identity) parameter.
In step 220, the cloud application performs registration authentication on the internet of things terminal through the terminal unique identifier, and sends the service data to the message processing server for processing after the authentication is passed.
In step 230, the cloud application determines a next data reporting time period of the terminal according to the period parameters carried by the current internet of things terminal.
In step 240, the cloud application counts the total number of terminals reporting data in the next data reporting time period of the internet of things terminal. For example, the number of terminals is counted based on the IMEI parameter of the terminal.
In step 250, it is determined whether the cloud has the capability of processing the data reported by all the terminals according to the cloud service processing capability and the total number of the terminals, if so, step 260 is executed, otherwise, step 270 is executed. For example, the cloud application can only process the service data reported by 10 terminals in the next data reporting time period of the terminals, if there are 8 terminals reporting data, it is obvious that the cloud has the ability to process the data reported by all the terminals, and if there are 20 terminals reporting data, it is obvious that the cloud has no ability to process the data reported by all the terminals.
In step 260, the cloud application determines the specific time of the internet of things terminal reporting data next time in a unit time average distribution manner.
In one embodiment, the cloud application determines the time used by the cloud to process the data reported by each terminal, and determines the specific time of the current terminal in the next reporting time period according to a time average distribution mode. For example, data reported by 10 terminals needs to be processed in 10 minutes in the cloud, and the average time for processing each terminal is 1 minute, so that the time for reporting the data by the 10 terminals is sequentially distributed within 10 minutes.
In step 270, the period of time for which the current terminal reports data is advanced or postponed, and step 240 is executed again. Until the requirement of the cloud application data processing capacity is met.
In step 280, the cloud application sends the specific time of the next reported data to the internet of things terminal.
In step 290, the terminal of the internet of things applies the specific time of the next reported data in the timer.
In step 2100, the internet of things terminal reports the service data to the cloud application when the specific time for reporting data next time is reached.
In the embodiment, the time of reporting the service data by the internet of things terminal is centrally controlled by the cloud application, so that the split control of the uplink data of the large-scale internet of things terminal is realized, the problem of bottleneck of data processing capacity of a cloud application platform and the problem of impact on a network caused by simultaneous data reporting of the large-scale terminal are solved, the reliability of the internet of things equipment is improved, the processing capacity of the internet of things cloud application data is improved, the server resource is saved, and the impact on the network is reduced.
The technical scheme disclosed by the invention is applied to the heartbeat data report of the intelligent optical cross connecting box and the intelligent well lid equipment of a certain communication facility monitoring and management platform, the problem that the platform cannot process downtime due to high uplink data concurrence is solved, and the network connection success rate of the intelligent optical cross connecting box and the well lid equipment is improved.
Fig. 3 is a schematic structural diagram of an embodiment of a terminal uplink data offloading control device according to the present disclosure. The device comprises a terminal data statistics unit 310, a specific time determination unit 320 and a specific time issuing unit 330.
The terminal data counting unit 310 is configured to count the total number of terminals reporting data in the next data reporting time period of the current terminal.
In one embodiment, each time a terminal reports service data, the terminal carries a data reporting period parameter, according to the period parameter, the cloud application can determine the next data reporting time period of the terminal, and then the number of the terminals is counted according to the unique terminal identifier.
The specific time determination unit 320 is configured to determine the specific time when the current terminal reports data next time according to the cloud service processing capability and the total number of terminals.
For example, whether the cloud has the ability to process data reported by all terminals is determined according to the cloud service processing capacity and the total number of the terminals, and if so, the specific time of the current terminal for reporting the data next time is determined in a unit time average distribution mode; if the current terminal does not have the capacity, the time period of data reporting by the current terminal is preset or delayed, whether the cloud end has the capacity of processing the data reported by all the terminals in the time period of data reporting by the preset or delayed current terminal is judged again, if so, the specific time of data reporting by the current terminal next time is determined in a unit time average distribution mode, and otherwise, the time period of data reporting by the current terminal is continuously preset or delayed.
In one embodiment, the time for the cloud to process the data reported by each terminal is determined; and determining the specific time of the current terminal in the next reporting time period according to a time average distribution mode. For example, data reported by 10 terminals needs to be processed in 10 minutes in the cloud, and the average time for processing each terminal is 1 minute, so that the time for reporting the data by the 10 terminals is sequentially distributed within 10 minutes.
The specific time issuing unit 330 is configured to send the specific time to the current terminal, so that the current terminal reports data according to the specific time. And when the terminal reports the service data next time, reporting the data according to the specific time.
In the embodiment, the specific time for the current terminal to report data next time is determined according to the cloud service processing capacity and the total number of the terminals, so that the centralized control of the data reporting time of the equipment is realized, the concurrent quantity of the uplink data of the terminals in unit total time is reduced, the purpose of shunting the uplink data of the equipment is realized, and the capacity of processing the uplink data by the cloud application is improved.
Fig. 4 is a schematic structural diagram of another embodiment of the terminal uplink data offloading control device according to the present disclosure. The apparatus includes a memory 410 and a processor 420, wherein:
the memory 410 may be a magnetic disk, flash memory, or any other non-volatile storage medium. The memory is used for storing instructions in the embodiments corresponding to fig. 1 and 2. Processor 420 is coupled to memory 410 and may be implemented as one or more integrated circuits, such as a microprocessor or microcontroller. The processor 420 is configured to execute instructions stored in memory.
In one embodiment, the apparatus 500 may also include a memory 510 and a processor 520, as shown in FIG. 5. Processor 520 is coupled to memory 510 by a BUS 530. The apparatus 500 may be further connected to an external storage device 550 through a storage interface 540 for accessing external data, and may be further connected to a network or another computer system (not shown) through a network interface 560, which will not be described in detail herein.
In the embodiment, the data instruction is stored in the memory, and the instruction is processed by the processor, so that the problem of bottleneck of data processing capacity of the cloud application platform and the problem of network impact caused by simultaneous data reporting of large-scale terminals are solved.
In another embodiment of the present disclosure, a terminal uplink data offloading control system is protected, where the system includes a plurality of terminals and the terminal uplink data offloading control device in the foregoing embodiment.
In another embodiment, a computer-readable storage medium has stored thereon computer program instructions which, when executed by a processor, implement the steps of the method in the corresponding embodiments of fig. 1, 2. As will be appreciated by one skilled in the art, embodiments of the present disclosure may be provided as a method, apparatus, or computer program product. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable non-transitory 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 disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing 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.
Thus far, the present disclosure has been described in detail. Some details that are well known in the art have not been described in order to avoid obscuring the concepts of the present disclosure. It will be fully apparent to those skilled in the art from the foregoing description how to practice the presently disclosed embodiments.
Although some specific embodiments of the present disclosure have been described in detail by way of example, it should be understood by those skilled in the art that the foregoing examples are for purposes of illustration only and are not intended to limit the scope of the present disclosure. It will be appreciated by those skilled in the art that modifications may be made to the above embodiments without departing from the scope and spirit of the present disclosure. The scope of the present disclosure is defined by the appended claims.
Claims (11)
1. A terminal uplink data distribution control method comprises the following steps:
counting the total number of the terminals reporting data in the current terminal next data reporting time period;
determining the specific time of the next data reporting of the current terminal according to the cloud service processing capacity and the total number of the terminals;
and sending the specific time to the current terminal so that the current terminal reports data according to the specific time.
2. The method for controlling the distribution of uplink data of the terminal according to claim 1, wherein the step of determining the specific time when the current terminal reports data next time according to the cloud service processing capacity and the total number of the terminals includes:
determining whether the cloud has the capability of processing data reported by all terminals according to the cloud service processing capability and the total number of the terminals;
if the cloud end has the capacity of processing the data reported by all the terminals, determining the specific time of the current terminal for reporting the data next time in a unit time average distribution mode;
if the cloud end does not have the capacity of processing the data reported by all the terminals, the time period for reporting the data by the current terminal is preset or delayed, and whether the cloud end has the capacity of processing the data reported by all the terminals in the time period for reporting the data by the preset or delayed current terminal is judged again.
3. The method for controlling terminal uplink data distribution according to claim 2, wherein determining the specific time when the current terminal reports data next time in a unit time average distribution manner includes:
determining the time for processing the data reported by each terminal by the cloud;
and determining the specific time of the current terminal in the next reporting time period according to a time average distribution mode.
4. The terminal uplink data offloading control method according to any of claims 1-3, further comprising:
and when the terminal is started for the first time, the terminal is registered and authenticated according to the unique terminal identifier.
5. The terminal uplink data offloading control method according to claim 4, further comprising:
and determining the next data reporting time period of the current terminal according to the period parameters carried by the current terminal.
6. A terminal uplink data distribution control device comprises:
the terminal data counting unit is configured to count the total number of the terminals reporting data in the next data reporting time period of the current terminal;
the specific time determining unit is configured to determine the specific time of the data reported next time by the current terminal according to the cloud service processing capacity and the total number of the terminals;
and the specific time issuing unit is configured to send the specific time to the current terminal so that the current terminal reports data according to the specific time.
7. The terminal uplink data splitting control device according to claim 6,
the specific time determining unit is configured to determine whether the cloud has the capability of processing data reported by all the terminals according to the cloud service processing capability and the total number of the terminals; if the cloud end has the capacity of processing the data reported by all the terminals, determining the specific time of the current terminal for reporting the data next time in a unit time average distribution mode; if the cloud end does not have the capacity of processing the data reported by all the terminals, the time period for reporting the data by the current terminal is preset or delayed, and whether the cloud end has the capacity of processing the data reported by all the terminals in the time period for reporting the data by the preset or delayed current terminal is judged again.
8. The terminal uplink data splitting control device according to claim 7,
the specific time determining unit is configured to determine the time for the cloud to process the data reported by each terminal; and determining the specific time of the current terminal in the next reporting time period according to a time average distribution mode.
9. A terminal uplink data distribution control device comprises:
a memory; and
a processor coupled to the memory, the processor configured to perform the method of any of claims 1-5 based on instructions stored in the memory.
10. A terminal uplink data distribution control system comprises:
a plurality of terminals; and
the terminal uplink data splitting control device of any one of claims 6 to 9.
11. A computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the method of any of claims 1 to 5.
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| CN109639843A (en) * | 2019-02-26 | 2019-04-16 | 青岛海信移动通信技术股份有限公司 | Data transmission method and device |
| CN109982288A (en) * | 2019-04-10 | 2019-07-05 | 宁夏隆基宁光仪表股份有限公司 | It is a kind of that algorithm is reported based on avoiding the peak hour for NB-IoT Internet of Things gas meter, flow meter |
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