CN113098932A

CN113098932A - Internet of things equipment processing method and system based on 5G and cloud computing

Info

Publication number: CN113098932A
Application number: CN202110301942.3A
Authority: CN
Inventors: 吴静昱
Original assignee: Individual
Current assignee: Individual
Priority date: 2020-07-08
Filing date: 2020-07-08
Publication date: 2021-07-09
Also published as: CN111935223B; CN112929451A; CN111935223A

Abstract

According to the method and system for processing the Internet of things equipment based on 5G and cloud computing, firstly, bandwidth resource allocation paths in bandwidth resource allocation information corresponding to a flexible network formed by the Internet of things equipment are obtained, secondly, target topological nodes in the flexible network are determined according to the bandwidth resource allocation paths, then, connection modes and area networking modes between the topological nodes in the flexible network are reconstructed based on the target topological nodes to obtain a plurality of Internet of things areas corresponding to the flexible network, user behavior data of each intelligent terminal in each Internet of things area are obtained and analyzed to obtain communication priorities corresponding to the intelligent terminals, and finally, bandwidth resources corresponding to the Internet of things equipment are allocated according to the communication priorities. Therefore, the Internet of things equipment in different areas can share sufficient bandwidth resources during data interaction, and the phenomenon of data mistransmission caused by insufficient bandwidth resources is avoided.

Description

Internet of things equipment processing method and system based on 5G and cloud computing

Technical Field

The application relates to the technical field of 5G and Internet of things communication, in particular to a method and a system for processing Internet of things equipment based on 5G and cloud computing.

Background

With the development of science and technology, the research, development, test and application of internet of things equipment are developed in a explosive mode, and more internet of things equipment are connected to an internet of things ecosystem with all things interconnected. In the face of a huge ecosystem of the internet of things, a 5G technology with low delay, high speed and high capacity is a better choice. The 5G technology can not only process a large amount of data loads of the Internet of things, but also integrate various intelligent systems and continuously achieve communication interaction. However, in the actual application process, the problem of data mistransmission occurs when the internet of things device runs.

Disclosure of Invention

The application provides an Internet of things equipment processing method and system based on 5G and cloud computing, and aims to solve the problem that data mistransmission occurs when Internet of things equipment runs in the prior art.

Firstly, a processing method of the Internet of things equipment based on 5G and cloud computing is provided, and is applied to a cloud computing center, and the method comprises the following steps:

acquiring a bandwidth resource allocation path in bandwidth resource allocation information corresponding to a flexible network formed by Internet of things equipment;

determining a target topological node in the flexible network according to the bandwidth resource allocation path; the topology target node is a topology node with bandwidth resource allocation authority in a network topology corresponding to the flexible network;

reconstructing a connection mode and a regional networking mode between each topological node in the flexible network by taking the target topological node as a bandwidth distribution center of a local resource distribution network to obtain a plurality of Internet of things regions corresponding to the flexible network; wherein the local resource allocation network is a sub-network in the flexible network;

acquiring user behavior data of each intelligent terminal in each Internet of things area, and analyzing the user behavior data to obtain a communication priority corresponding to each intelligent terminal in each Internet of things area;

and allocating the bandwidth resources corresponding to each piece of Internet of things equipment according to the communication priority.

Further, the obtaining of the bandwidth resource allocation path in the bandwidth resource allocation information corresponding to the flexible network formed by the internet of things device includes:

collecting a data transmission error log of each Internet of things device and an information response rate set of each intelligent terminal;

and analyzing a flexible network established in advance based on the communication address of each Internet of things device to obtain a bandwidth resource allocation path in bandwidth resource allocation information corresponding to the flexible network.

Further, analyzing a flexible network established in advance based on a communication address of each internet of things device to obtain a bandwidth resource allocation path in bandwidth resource allocation information corresponding to the flexible network, including:

determining a first protocol list corresponding to a network transmission protocol of the flexible network and a second protocol list corresponding to a data encryption protocol of the flexible network according to the analyzed network state parameters of the flexible network; wherein the first protocol listing list and the second protocol listing list respectively comprise a plurality of sub-lists with different path weights;

determining a sub-list of the maximum path weight in a set value interval in the second protocol list as a reference sub-list while determining the list unit distribution information of the network transmission protocol of the flexible network in one sub-list in the first protocol list;

based on the determined direction information between the log text of each data transmission error log and each information response rate set, mapping the list unit distribution information to the reference sublist to obtain target distribution information corresponding to the list unit distribution information in the reference sublist; establishing a protocol path mapping table between a network transmission protocol of the flexible network and a data encryption protocol of the flexible network according to the calculated information similarity between the list unit distribution information and the target distribution information;

determining path distribution information in the reference sublist by taking the target distribution information as reference information, mapping the path distribution information to a sublist where the list unit distribution information is located based on the protocol path mapping table to obtain bandwidth resource distribution information corresponding to the path distribution information in the sublist where the list unit distribution information is located, extracting a plurality of information segments corresponding to the bandwidth resource distribution information according to list features corresponding to the protocol path mapping table, and generating the bandwidth resource distribution path based on a corresponding directional key in each information segment.

Further, the determining a target topology node in the flexible network according to the bandwidth resource allocation path includes:

and by hiding at least one first path node with an allocation weight correction identifier in the bandwidth resource allocation path relative to a bandwidth resource allocation record with traceability, extracting at least one second path node, of which the bandwidth resource occupancy rate in the bandwidth resource allocation path corresponding to the flexible network is not adjusted along with the resource sharing behavior of the at least one first path node with the allocation weight correction identifier, as a target topology node in the flexible network.

Further, the allocating bandwidth resources corresponding to each internet of things device according to the communication priority includes:

and controlling a bandwidth allocation center corresponding to each Internet of things area to allocate bandwidth resources corresponding to each Internet of things device in each Internet of things area based on the communication priority, so that the first bandwidth resource capacity required by each Internet of things device in each Internet of things area when data transmission is carried out in the current time period is the same as the second bandwidth resource capacity allocated to the Internet of things device.

Further, the controlling, based on the communication priority, a bandwidth allocation center corresponding to each internet of things region to allocate bandwidth resources corresponding to each internet of things device in each internet of things region includes:

extracting time sequence description information of a communication thread of intelligent equipment corresponding to each communication priority in each Internet of things area, and extracting time sequence description values of the time sequence description information to obtain a first time sequence array comprising the time sequence description values and periodic stability coefficients corresponding to the time sequence description values; performing delay behavior judgment according to array distribution characteristics in the first time sequence array, calibrating time sequence description information meeting set conditions, and obtaining target description information obtained by calibration and a calibration signature of the target description information;

extracting parameter evaluation factors of a plurality of process parameters to be processed for calculating the resource priority of time slice resources of the Internet of things equipment in each Internet of things region and time sequence consistency weight values among different process parameters from a region communication list corresponding to each Internet of things region through target description information and a calibration signature obtained by calibration;

merging the plurality of process parameters according to the determined parameter evaluation factors of the plurality of process parameters and the time sequence consistency weight values among different process parameters, so that the parameter evaluation factors of the merged target process parameters are smaller than a first set value, and the time sequence consistency weight values among the merged target process parameters are larger than a second set value;

for a bandwidth distribution center corresponding to each Internet of things area, loading the target process parameters into a thread data packet corresponding to the bandwidth distribution center, and obtaining the resource priority of the bandwidth distribution center relative to the time slice resources of each target Internet of things device corresponding to the bandwidth distribution center in the thread data packet; determining a bandwidth delay list of an internet of things region corresponding to the bandwidth distribution center and a plurality of data packets to be sent of each target internet of things device corresponding to the bandwidth distribution center in the current time period according to the resource priority of each target internet of things device corresponding to the bandwidth distribution center;

determining a first data identifier for representing that a data packet is processed in a delay mode and a second data identifier for representing that the data packet is processed in an instant mode, which correspond to each target internet of things device corresponding to the bandwidth distribution center, based on the bandwidth delay list; according to the data packet to be sent of each target internet of things device corresponding to the bandwidth distribution center under the first data identifier and the data capacity of the data packet to be sent of each target internet of things device corresponding to the bandwidth distribution center under the second data identifier, determining the matching degree between each data packet to be sent of each target internet of things device corresponding to the bandwidth distribution center under the first data identifier and each data packet to be sent of each target internet of things device corresponding to the bandwidth distribution center under the first data identifier; setting a data packet to be sent, matched with the data packet to be sent under the first data identifier, of each target internet of things device corresponding to the bandwidth distribution center under the second data identifier to the first data identifier; determining a first bandwidth resource capacity required by each internet of things device in each internet of things region when data transmission is performed in the current time period according to the sum of the number of data packets to be transmitted and the sum of the data capacity of each target internet of things device corresponding to the bandwidth allocation center under the first data identifier, and controlling the bandwidth allocation center corresponding to each internet of things region to allocate bandwidth resources corresponding to each internet of things device in each internet of things region according to the first bandwidth resource capacity.

Further, with the target topology node as a bandwidth allocation center of a local resource allocation network, reconstructing a connection mode and a regional networking mode between each topology node in the flexible network to obtain a plurality of internet of things regions corresponding to the flexible network, including:

importing node parameters and node position information of each topological node in the flexible network into a preset list;

extracting multidimensional node characteristics corresponding to each topological node from the preset list, inputting the multidimensional node characteristics into a preset k-means clustering model, and identifying the multidimensional node characteristics through the k-means clustering model to obtain a plurality of clustering sets;

calculating the coding information of the communication coverage area of each cluster set according to the connection mode and the area networking mode among the topological nodes in each cluster set; judging whether the coincidence rate between every two pieces of coding information reaches a set probability, if so, adjusting model parameters of the k-means clustering model and returning to the step of identifying the multi-dimensional node characteristics through the k-means clustering model to obtain a plurality of clustering sets until the coincidence rate between every two pieces of coding information is lower than the set probability; and when the coincidence rate of every two pieces of coded information is lower than the set probability, obtaining a corresponding Internet of things area according to each cluster set.

Secondly, a cloud computing center is provided, which is used for:

Then, a cloud computing center is provided, comprising:

a processor, and

a memory and a network interface connected with the processor;

the network interface is connected with a nonvolatile memory in the cloud computing center;

when the processor is operated, the computer program is called from the nonvolatile memory through the network interface, and the computer program is operated through the memory so as to execute the method.

Finally, a computer device readable storage medium is provided, in which a computer program is burned, and the computer program realizes the method when running in the memory of the cloud computing center.

The method and the system for processing the equipment of the internet of things based on 5G and cloud computing, provided by the embodiment of the invention, firstly obtain a bandwidth resource allocation path in bandwidth resource allocation information corresponding to a flexible network formed by the equipment of the internet of things, secondly, determining a target topology node in the flexible network according to the bandwidth resource allocation path, then reconstructing a connection mode and a regional networking mode between each topology node in the flexible network by taking the target topology node as a bandwidth allocation center of a local resource allocation network to obtain a plurality of Internet of things regions corresponding to the flexible network, further obtaining user behavior data of each intelligent terminal in each Internet of things region, analyzing the user behavior data to obtain a communication priority corresponding to each intelligent terminal in each Internet of things region, and finally allocating the bandwidth resource corresponding to each Internet of things device according to the communication priority. Therefore, the local bandwidth resources of the Internet of things equipment can be distributed and adjusted, so that the Internet of things equipment in different areas can share sufficient bandwidth resources during data interaction, and the phenomenon of data mistransmission caused by insufficient bandwidth resources is avoided.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.

Fig. 1 is a communication architecture diagram of an internet of things device processing system based on 5G and cloud computing.

Fig. 2 is a flowchart of a processing method of the internet of things device based on 5G and cloud computing.

Fig. 3 is a block diagram of an embodiment of an internet of things device processing apparatus based on 5G and cloud computing.

Fig. 4 is a hardware configuration diagram of a cloud computing center.

Detailed Description

After discovering the problems in the background art, the inventor analyzes a plurality of ecosystems (such as smart cities, autonomous vehicles, healthcare, logistics, retail industries, and the like) applying the internet of things device, and discovers that the reason for data mistransmission occurring during the operation of the internet of things device is that limited bandwidth resources are preempted.

Taking a smart city as an example, the application of the internet of things equipment in the smart city can be embodied in the field of infrastructures such as garbage management, traffic monitoring and intelligent medical treatment. In order to achieve the purpose, a large number of sensors need to be equipped for corresponding internet of things equipment. However, the interaction under the 5G technology includes not only the internet of things device applied to the infrastructure, but also a large number of 5G intelligent terminals. Under the scene, the 5G intelligent terminal and the Internet of things equipment compete for bandwidth resources, the Internet of things equipment is possibly in a state of insufficient regional bandwidth during operation, and then the Internet of things equipment actively searches for bandwidth resources in other regions for data interaction, so that data mistransmission can be caused.

The above prior art solutions have shortcomings which are the results of practical and careful study of the inventor, and therefore, the discovery process of the above problems and the solutions proposed by the following embodiments of the present invention to the above problems should be the contribution of the inventor to the present invention in the course of the present invention.

In order to solve the above problems, embodiments of the present invention provide a method and a system for processing an internet of things device based on 5G and cloud computing, which can apply a flexible network to an ecosystem of the internet of things and continuously implement allocation and adjustment of local bandwidth resources of the internet of things device, so that the internet of things devices in different areas can share sufficient bandwidth resources during data interaction, and a data mistransmission phenomenon caused by insufficient bandwidth resources is avoided.

The following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. 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.

To facilitate the description of the whole scheme, first, an implementation environment in which the method is applied is described, please refer to fig. 1, which is a schematic view of a communication architecture of an internet of things device processing system 100 based on 5G and cloud computing according to an embodiment of the present invention, where the internet of things processing system 100 may include a cloud computing center 110, a plurality of internet of things devices 120, and a plurality of intelligent terminals 130. The cloud computing center 110, the internet of things device 120, and the intelligent terminal 130 communicate with each other, and the cloud computing center 110 may execute the contents described in steps S21-S25 shown in fig. 2, so as to ensure that the internet of things device 120 can share sufficient bandwidth resources during data interaction, and avoid the phenomenon of data mistransmission due to insufficient bandwidth resources.

Step S21, acquiring a bandwidth resource allocation path in bandwidth resource allocation information corresponding to a flexible network formed by the Internet of things equipment.

In detail, to implement step S21, the following sub-steps may be specifically performed: collecting a data transmission error log of each Internet of things device and an information response rate set of each intelligent terminal; and analyzing a flexible network established in advance based on the communication address of each Internet of things device to obtain a bandwidth resource allocation path in bandwidth resource allocation information corresponding to the flexible network.

In this embodiment, the data transmission error log is reported to the cloud computing center 110 by the internet of things device when the internet of things device 120 has data error transmission, and the information response rate set is obtained by the cloud computing center 110 by analyzing the delay time of two adjacent data texts of each intelligent terminal. Furthermore, the flexible network means that the connection mode and the area networking mode of a network topology formed by the internet of things devices are adjustable, that is, the internet of things devices can be added or reduced in the flexible network, and the connection mode and the networking mode of the existing internet of things devices in the flexible network can be changed.

Step S22, determining a target topological node in the flexible network according to the bandwidth resource allocation path; the topology target node is a topology node with bandwidth resource allocation authority in a network topology corresponding to the flexible network.

In detail, to implement step S22, the following sub-steps may be specifically performed: and by hiding at least one first path node with an allocation weight correction identifier in the bandwidth resource allocation path relative to a bandwidth resource allocation record with traceability, extracting at least one second path node, of which the bandwidth resource occupancy rate in the bandwidth resource allocation path corresponding to the flexible network is not adjusted along with the resource sharing behavior of the at least one first path node with the allocation weight correction identifier, as a target topology node in the flexible network.

Step S23, the target topological node is used as a bandwidth distribution center of a local resource distribution network, and a connection mode and a regional networking mode between each topological node in the flexible network are reconstructed to obtain a plurality of Internet of things areas corresponding to the flexible network; wherein the local resource allocation network is a sub-network in the flexible network.

Step S24, user behavior data of each intelligent terminal in each Internet of things area is obtained, and the user behavior data is analyzed to obtain a communication priority corresponding to each intelligent terminal in each Internet of things area.

And step S25, allocating bandwidth resources corresponding to each Internet of things device according to the communication priority.

In detail, to implement step S25, the following sub-steps may be specifically performed: and controlling a bandwidth allocation center corresponding to each Internet of things area to allocate bandwidth resources corresponding to each Internet of things device in each Internet of things area based on the communication priority, so that the first bandwidth resource capacity required by each Internet of things device in each Internet of things area when data transmission is carried out in the current time period is the same as the second bandwidth resource capacity allocated to the Internet of things device.

It can be understood that, by executing the above steps S21-S25, a bandwidth resource allocation path in bandwidth resource allocation information corresponding to a flexible network formed by the internet of things device is first obtained, a target topology node in the flexible network is determined according to the bandwidth resource allocation path, then a connection mode and a regional networking mode between each topology node in the flexible network are reconstructed by using the target topology node as a bandwidth allocation center of a local resource allocation network to obtain a plurality of internet of things regions corresponding to the flexible network, user behavior data of each intelligent terminal in each internet of things region is further obtained and analyzed to obtain a communication priority corresponding to each intelligent terminal in each internet of things region, and finally, a bandwidth resource corresponding to each internet of things device is allocated according to the communication priority. Therefore, the local bandwidth resources of the Internet of things equipment can be distributed and adjusted, so that the Internet of things equipment in different areas can share sufficient bandwidth resources during data interaction, and the phenomenon of data mistransmission caused by insufficient bandwidth resources is avoided.

In a specific implementation process, in order to ensure accuracy and reliability of bandwidth resource allocation, not only the communication priority of the intelligent terminal but also the resource priority of the time slice resource of the internet of things equipment in each internet of things area need to be considered. To achieve the above object, the controlling, based on the communication priority, the bandwidth allocation center corresponding to each internet of things region in step S25 allocates the bandwidth resource corresponding to each internet of things device in each internet of things region, so that a first bandwidth resource capacity required by each internet of things device in each internet of things region when performing data transmission in a current time period is the same as a second bandwidth resource capacity allocated to the internet of things device, which may exemplarily include the contents described in the following steps S251 to S255.

Step S251, extracting time sequence description information of a communication thread of the intelligent equipment corresponding to each communication priority in each Internet of things area, and extracting time sequence description values of the time sequence description information to obtain a first time sequence array comprising the time sequence description values and periodic stability coefficients corresponding to the time sequence description values; and performing time delay behavior judgment according to array distribution characteristics in the first time sequence array, calibrating the time sequence description information meeting set conditions, and obtaining target description information obtained by calibration and a calibration signature of the target description information.

Step S252, extracting, from the regional communication list corresponding to each internet of things region, to-be-processed parameter evaluation factors of a plurality of process parameters for calculating resource priorities of time slice resources of the internet of things devices in each internet of things region and time sequence consistency weight values between different process parameters, through the target description information and the calibration signature obtained by calibration.

Step S253, merging the plurality of process parameters according to the determined parameter evaluation factors of the plurality of process parameters and the timing consistency weight values between different process parameters, so that the parameter evaluation factor of the merged target process parameter is smaller than a first set value, and the timing consistency weight value between the merged target process parameters is larger than a second set value.

Step S254, for the bandwidth allocation center corresponding to each internet of things region, loading the target process parameter into the thread data packet corresponding to the bandwidth allocation center, and obtaining, in the thread data packet, a resource priority of the bandwidth allocation center with respect to the time slice resource of each target internet of things device corresponding to the bandwidth allocation center; and determining a bandwidth delay list of an internet of things area corresponding to the bandwidth distribution center and a plurality of data packets to be sent of each target internet of things device corresponding to the bandwidth distribution center in the current time period according to the resource priority of each target internet of things device corresponding to the bandwidth distribution center.

Step S255, determining, based on the bandwidth delay list, a first data identifier for representing that a data packet is deferrable to be processed and a second data identifier for representing that the data packet is immediate to be processed, which correspond to each target internet of things device corresponding to the bandwidth allocation center; according to the data packet to be sent of each target internet of things device corresponding to the bandwidth distribution center under the first data identifier and the data capacity of the data packet to be sent of each target internet of things device corresponding to the bandwidth distribution center under the second data identifier, determining the matching degree between each data packet to be sent of each target internet of things device corresponding to the bandwidth distribution center under the first data identifier and each data packet to be sent of each target internet of things device corresponding to the bandwidth distribution center under the first data identifier; setting a data packet to be sent, matched with the data packet to be sent under the first data identifier, of each target internet of things device corresponding to the bandwidth distribution center under the second data identifier to the first data identifier; determining a first bandwidth resource capacity required by each internet of things device in each internet of things region when data transmission is performed in the current time period according to the sum of the number of data packets to be transmitted and the sum of the data capacity of each target internet of things device corresponding to the bandwidth allocation center under the first data identifier, and controlling the bandwidth allocation center corresponding to each internet of things region to allocate bandwidth resources corresponding to each internet of things device in each internet of things region according to the first bandwidth resource capacity.

When the contents described in the above steps S251 to S255 are applied, the communication priority of the intelligent terminal and the resource priority of the time slice resource of the internet of things device in each internet of things region can be considered at the same time, and then the first bandwidth resource capacity required by each internet of things device in the data transmission in the current time period can be accurately determined when the loan resource allocation is performed, so that the accuracy and reliability of the bandwidth resource allocation can be ensured.

In one possible implementation manner, in order to accurately and completely acquire the bandwidth resource allocation path, the parsing, which is described in step S21, of the flexible network that is established in advance based on the communication address of each internet of things device to acquire the bandwidth resource allocation path in the bandwidth resource allocation information corresponding to the flexible network further includes what is described in the following steps S211 to S214.

Step S211, determining a first protocol list corresponding to a network transmission protocol of the flexible network and a second protocol list corresponding to a data encryption protocol of the flexible network according to the analyzed network state parameters of the flexible network; wherein the first protocol listing list and the second protocol listing list respectively include a plurality of sub-lists of different path weights.

Step S212, while determining the list unit distribution information of the network transmission protocol of the flexible network in one of the sub-lists in the first protocol list, determining the sub-list of the maximum path weight located in the set value interval in the second protocol list as a reference sub-list.

Step S213, based on the determined direction information between the log text of each data transmission error log and each information response rate set, mapping the list unit distribution information into the reference sublist to obtain target distribution information corresponding to the list unit distribution information in the reference sublist; and establishing a protocol path mapping table between a network transmission protocol of the flexible network and a data encryption protocol of the flexible network according to the calculated information similarity between the list unit distribution information and the target distribution information.

Step S214, determining path distribution information in the reference sublist by using the target distribution information as reference information, mapping the path distribution information to a sublist where the list unit distribution information is located based on the protocol path mapping table to obtain bandwidth resource allocation information corresponding to the path distribution information in the sublist where the list unit distribution information is located, extracting a plurality of information segments corresponding to the bandwidth resource allocation information according to list features corresponding to the protocol path mapping table, and generating the bandwidth resource allocation path based on a corresponding directional key in each information segment.

It can be understood that through the descriptions of the above steps S211 to S214, the flexible network can be fully parsed, so that the bandwidth resource allocation path is accurately and completely generated.

In a specific embodiment, in order to ensure that an overlapping area between a plurality of reconstructed internet of things areas is minimized to avoid communication interference between subsequent different internet of things areas, the bandwidth allocation center that uses the target topology node as a local resource allocation network, which is described in step S23, reconstructs a connection manner and an area networking manner between each topology node in the flexible network to obtain a plurality of internet of things areas corresponding to the flexible network, which may specifically include the contents described in steps S231 to S233 below.

Step S231, importing the node parameter and the node location information of each topology node in the flexible network into a preset list.

Step S232, extracting the multidimensional node characteristics corresponding to each topological node from the preset list, inputting the multidimensional node characteristics into a preset k-means clustering model, and identifying the multidimensional node characteristics through the k-means clustering model to obtain a plurality of clustering sets.

Step S233, calculating the coding information of the communication coverage area of each cluster set according to the connection mode and the area networking mode between the topological nodes in each cluster set; judging whether the coincidence rate between every two pieces of coding information reaches a set probability, if so, adjusting model parameters of the k-means clustering model and returning to the step of identifying the multi-dimensional node characteristics through the k-means clustering model to obtain a plurality of clustering sets until the coincidence rate between every two pieces of coding information is lower than the set probability; and when the coincidence rate of every two pieces of coded information is lower than the set probability, obtaining a corresponding Internet of things area according to each cluster set.

In a specific implementation process, by executing the contents described in the above steps S231 to S233, the overlapping condition of the communication coverage areas of the clustered set obtained by clustering can be analyzed, so that it is ensured that the overlapping area between the multiple internet of things areas obtained by reconstruction is minimized to avoid communication interference between subsequent different internet of things areas.

Optionally, in order to accurately and reliably determine the communication priority corresponding to each intelligent terminal, for this purpose, the step S24 describes obtaining user behavior data of each intelligent terminal in each internet of things area, and analyzing the user behavior data to obtain the communication priority corresponding to each intelligent terminal in each internet of things area, which may exemplarily include the following contents described in steps S241 to S244.

Step S241, extracting application program source codes corresponding to data type information of user behavior data of each intelligent terminal and type labels of the data type information; wherein the category label represents a user behavior category to which the data category information of the user behavior data of each smart terminal belongs, and the category label at least includes: and the first user behavior category and the second user behavior category represent data category information of the user behavior data of each intelligent terminal.

Step S242, determining a source code running track corresponding to the source code of the application program; the source code running track comprises a preset running script parameter, and the running script parameter represents an execution parameter of a user behavior category of data category information which is located in a target track area in the source code running track and corresponds to the source code of the application program.

Step S243, according to the application source code and the category label, searching a target track node matched with the data identification information of the user behavior data of each intelligent terminal in the source code running track, and determining a track centrality of the target track node in the source code running track based on a matching coefficient.

Step S244, mapping the trajectory centrality to a behavior feature matrix formed by the user behavior features of the user behavior data of each intelligent terminal to obtain the communication priority corresponding to each intelligent terminal.

By applying the steps S241 to S244, the communication priority corresponding to each intelligent terminal can be accurately and reliably determined.

Based on the same inventive concept, please refer to fig. 3 in combination, a functional block diagram of an internet of things device processing apparatus 300 based on 5G and cloud computing is provided, where the internet of things device processing apparatus 300 includes:

a path obtaining module 310, configured to obtain a bandwidth resource allocation path in bandwidth resource allocation information corresponding to a flexible network formed by an internet of things device;

a node determining module 320, configured to determine a target topology node in the flexible network according to the bandwidth resource allocation path; the topology target node is a topology node with bandwidth resource allocation authority in a network topology corresponding to the flexible network;

a node reconfiguration module 330, configured to reconfigure a connection manner and a regional networking manner between each topology node in the flexible network by using the target topology node as a bandwidth allocation center of a local resource allocation network, so as to obtain multiple internet of things regions corresponding to the flexible network; wherein the local resource allocation network is a sub-network in the flexible network;

the data analysis module 340 is configured to obtain user behavior data of each intelligent terminal in each internet of things area, and analyze the user behavior data to obtain a communication priority corresponding to each intelligent terminal in each internet of things area;

and a resource allocation module 350, configured to allocate bandwidth resources corresponding to each internet of things device according to the communication priority.

Optionally, the path obtaining module 310 is configured to:

Optionally, the path obtaining module 310 is further configured to:

the method for acquiring the bandwidth resource allocation path in the bandwidth resource allocation information corresponding to the flexible network includes the following steps:

Optionally, the node determining module 320 is configured to:

Optionally, the resource allocation module 350 is configured to:

Optionally, the resource allocation module 350 is further configured to:

Optionally, the node reconstructing module 330 is configured to:

Optionally, the data parsing module 340 is configured to:

extracting an application program source code corresponding to data category information of user behavior data of each intelligent terminal and a category label of the data category information; wherein the category label represents a user behavior category to which the data category information of the user behavior data of each smart terminal belongs, and the category label at least includes: a first user behavior category and a second user behavior category of data category information representing the user behavior data of each intelligent terminal;

determining a source code running track corresponding to the source code of the application program; the source code running track comprises a preset running script parameter, and the running script parameter represents an execution parameter of a user behavior category of data category information which is located in a target track area in the source code running track and corresponds to the source code of the application program;

according to the source code and the category label of the application program, searching a target track node matched with the data identification information of the user behavior data of each intelligent terminal in the source code running track, and determining the track centrality of the target track node in the source code running track based on a matching coefficient;

and mapping the track centrality to a behavior feature matrix formed by the user behavior features of the user behavior data of each intelligent terminal to obtain the communication priority corresponding to each intelligent terminal.

Based on the same inventive concept, the invention further provides an internet of things equipment processing system based on 5G and cloud computing, wherein the system comprises a cloud computing center, a plurality of internet of things equipment and a plurality of intelligent terminals, wherein the cloud computing center, the plurality of internet of things equipment and the plurality of intelligent terminals are communicated with one another; the cloud computing center is configured to:

Optionally, the cloud computing center is configured to:

On the basis, please refer to fig. 4 in combination, which provides a cloud computing center 110, including: a processor 111, and a memory 112 and a network interface 113 connected to the processor 111. The network interface 113 is connected to a nonvolatile memory 114 in the cloud computing center 110. The processor 111, when running, retrieves a computer program from the non-volatile memory 114 via the network interface 113 and runs the computer program via the memory 112 to perform the above-described method.

Further, a computer device readable storage medium is provided, which is burned with a computer program, and the computer program realizes the above method when running in the memory 112 of the cloud computing center 110.

The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. The Internet of things equipment processing method based on 5G and cloud computing is applied to a cloud computing center, and comprises the following steps:

allocating bandwidth resources corresponding to each Internet of things device according to the communication priority;

analyzing the user behavior data to obtain a communication priority corresponding to each intelligent terminal in each Internet of things area, wherein the method comprises the following steps:

2. The internet of things equipment processing method according to claim 1, wherein the obtaining of the bandwidth resource allocation path in the bandwidth resource allocation information corresponding to the flexible network formed by the internet of things equipment includes:

3. The internet of things equipment processing method according to claim 2, wherein analyzing a flexible network established in advance based on a communication address of each internet of things equipment to obtain a bandwidth resource allocation path in bandwidth resource allocation information corresponding to the flexible network includes:

4. The internet of things device processing method of claim 3, wherein the determining the target topology node in the flexible network according to the bandwidth resource allocation path comprises:

5. The IOT device processing method of claim 4, wherein the allocating bandwidth resources corresponding to each IOT device according to the communication priority comprises:

6. The method for processing the internet of things equipment according to claim 5, wherein the controlling the bandwidth allocation center corresponding to each internet of things area to allocate the bandwidth resource corresponding to each internet of things equipment in each internet of things area based on the communication priority comprises:

7. The internet of things equipment processing method according to claim 1, wherein reconstructing a connection mode and a regional networking mode between each topology node in the flexible network by using the target topology node as a bandwidth allocation center of a local resource allocation network to obtain a plurality of internet of things regions corresponding to the flexible network comprises:

8. The Internet of things equipment processing system based on 5G and cloud computing is characterized by comprising a cloud computing center, a plurality of Internet of things equipment and a plurality of intelligent terminals, wherein the cloud computing center, the plurality of Internet of things equipment and the plurality of intelligent terminals are communicated with one another; the cloud computing center is configured to: