CN113938389B - Slice network configuration method, system, device and storage medium - Google Patents
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0893—Assignment of logical groups to network elements
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0803—Configuration setting
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimising operational condition
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W76/00—Connection management
- H04W76/10—Connection setup
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
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Abstract
The application discloses a method, a system, a device and a storage medium for configuring a slice network, wherein the method for configuring the slice network comprises the following steps: acquiring first data and second data of an industry terminal; obtaining a network demand analysis result according to the first data and the second data; adapting a slicing network for the industry terminal according to the network demand analysis result; the method can be used for configuring the slicing network accessed to the industry terminal according to the identity and the scene of the industry terminal, the slicing network is dynamically configured according to the identity and the scene data, the quality of the slicing network can be optimized through the dynamic configuration of the slicing network, and the energy consumption of the slicing network can be reduced. The application can be widely applied to the technical field of network communication.
Description
Technical Field
The present application relates to the field of network technologies, and in particular, to a method, a system, an apparatus, and a storage medium for slice network configuration.
Background
According to the prediction, 80% of task scenes of the mobile network are focused in various industrial applications. The individuation characteristics of industry application are remarkable, and an end-to-end differentiation scheme is generally required to be provided so as to realize optimal performance. In the scene of using a mobile network as an access scheme, firstly, mobility of various terminals needs to be fully considered, network guarantee with the same quality is given at different signal strength sites, and dynamic optimization is given on service quality by combining with an actual use scene; secondly, different time periods need to be fully considered, and different numbers of terminals are accessed to network equipment such as a base station, a gateway and the like, so that the established service quality needs to be ensured; thirdly, fully considering heterogeneous connection protocols of all terminals, making rules and methods, and realizing comprehensive connection.
In the related art, a pre-configuration method is adopted in the slice network, and various terminals always accept the slice network configured by fixed parameters, so that the slice network has certain limitation when connecting the terminals.
Disclosure of Invention
The present application aims to solve at least one of the technical problems existing in the prior art to a certain extent.
Therefore, an object of the embodiments of the present application is to provide a slice network configuration method, which can configure a slice network of an access industry terminal according to an identity and a scene of the industry terminal, dynamically configure the slice network through the identity and the scene data, and dynamically configure the slice network, so that quality of the slice network can be optimized, and energy consumption of the slice network can be reduced.
In order to achieve the technical purpose, the technical scheme adopted by the embodiment of the application comprises the following steps:
In a first aspect, an embodiment of the present application provides a method for slicing network scene screening and configuration, including the following steps:
acquiring first data and second data of an industry terminal; wherein the first data comprises identity data of an industry terminal; the second data comprises scene data of an industry terminal;
Analyzing slicing network requirements based on the first data and the second data;
and configuring a slicing network for the industry terminal according to the slicing network requirement.
In addition, the method for screening and configuring a slice network scene according to the above embodiment of the present invention may further have the following additional technical features:
further, in an embodiment of the present application, the step of obtaining the first data and the second data of the industry terminal includes: establishing wireless network connection between the industry terminal and the gateway; acquiring static data of the industry terminal; acquiring dynamic data of the industry terminal at preset time intervals; and responding to the changed network signal strength, and acquiring second data of the industry terminal.
Further, in an embodiment of the present application, the step of analyzing the slicing network requirement according to the first data and the second data includes:
presetting a slicing service model library;
determining a slicing service model of the industry terminal in the slicing service model library according to the first data and the second data;
and analyzing the slicing network requirements according to the slicing service model.
Further, in an embodiment of the present application, the step of determining a slice service model in the slice service model library according to the identity data and the scene data further includes: and when the slice service model library cannot determine the slice service model, determining the slice service model from the slice service model library in the cloud.
Further, in an embodiment of the present application, the step of configuring the slice network according to the slice network requirement includes: calling a slicing network template according to the slicing network requirement; and modifying the parameters of the slicing network template to configure the slicing network of the industry terminal.
On the other hand, the embodiment of the application also provides a slicing network configuration system, which comprises an acquisition module, an analysis module and a configuration module; the acquisition module is used for acquiring scene data of the industry terminal and identity data of the industry terminal; the analysis module is used for analyzing slicing network requirements according to the scene data and the identity data; the configuration module is used for configuring the slicing network according to the slicing network requirement.
In another aspect, the present application further provides a slice network configuration apparatus, including:
At least one processor;
At least one memory for storing at least one program;
The at least one program, when executed by the at least one processor, causes the at least one processor to implement a slice network configuration method as claimed in any one of the summary.
Furthermore, the present application provides a storage medium having stored therein processor executable instructions which when executed by a processor are for performing a slice network configuration method according to any one of the above.
The advantages and benefits of the application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application.
The application can configure the slicing network of the access industry terminal according to the identity and the scene of the industry terminal, dynamically configure the slicing network through the identity and the scene data, and the slicing network dynamic configuration can optimize the quality of the slicing network and reduce the energy consumption of the slicing network.
Drawings
FIG. 1 is a schematic diagram illustrating steps of a slice network configuration method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a slice network configuration system according to an embodiment of the present invention;
Fig. 3 is a schematic structural diagram of a slice network configuration device according to an embodiment of the present invention.
Detailed Description
The principles and processes of the slice network configuration method, system, apparatus and storage medium according to the embodiments of the present invention are described in detail below with reference to the accompanying drawings.
Referring to fig. 1, a slice network configuration method of the present invention includes the steps of:
s1, acquiring first data and second data of an industry terminal; the first data are identity data of an industry terminal; the second data are scene data of an industry terminal;
The network slicing technology can be applied to a plurality of business scenes such as medical treatment, teaching, meeting, industrial production and the like, and various industrial terminals exist in different task scenes, such as medical image terminals, remote operation equipment, video equipment and other industrial terminals exist in medical operation tasks, and slicing networks required by different industrial terminals are different, so that when the slicing networks are configured, the scenes and identities of the industrial terminals need to be determined through partial data of the industrial terminals. In the embodiment of the present application, the first data of the industry terminal may be identity data of the industry terminal, and the second data may be scene data of the industry terminal, and the specific acquiring steps include:
S11, establishing network connection between the industry terminal and a gateway; before acquiring the data of the industry terminal, the wireless connection between the industry terminal and the gateway is required to be established, and the data of the industry terminal is acquired through the wireless connection.
S12, acquiring static data of the industry terminal; the static data can reflect the types of the industry terminals, the types of the industry terminals needing to be configured with the slicing network currently are screened out from different terminals, specifically, in the embodiment of the application, the static data comprises terminal signals and terminal MAC addresses, after the connection between the industry terminals and the gateway is established, the terminal types and the terminal MAC addresses of the industry terminals can be obtained through the data transmission gateway, and the types of the industry terminals can be determined through the terminal types and the terminal MAC addresses, for example, in a medical operation scene, the fact that whether the industry terminals are operation equipment or medical image terminals can be determined through the signals and the MAC addresses of the industry terminals is determined.
S13, acquiring dynamic data of the industry terminal at preset time intervals; because the industry terminal has different motion states, the state of the industry terminal can be determined by acquiring the dynamic data of the industry terminal at preset time intervals, specifically, in the embodiment of the application, the dynamic data comprises the IP address of the industry terminal, the error reporting number of the terminal position terminal and the displacement speed of the terminal, if the IP address and the terminal position of the industry terminal are unchanged, the industry terminal can be determined to be in a static state, the static state can represent that the terminal equipment does not work or is in a static state, and the IP address and the terminal position of the industry terminal and the displacement speed of the industry terminal are changed to determine the motion state, specifically, the industry terminal is taken as an industrial welding equipment as an example, and the state of the industry terminal is judged to be in work or not work by the displacement and the motion speed of a welding tool.
S14, responding to the changed network signal strength; and acquiring second data of the industry terminal. After the wireless network is established, because the service radius of the gateway is limited, network signals are easy to fluctuate, and when the strength of the signals changes, such as the position of the gateway moves or the strength of the network changes, the acquisition equipment can acquire scene data of the industry terminal, and the state of the industry terminal is judged according to the scene data.
S2, analyzing slicing network requirements according to the first data and the second data;
in the embodiment of the application, the first data and the second data are respectively the identity data and the scene data of the industry terminal; the analysis and slicing network requirement according to the identity data and the scene data specifically comprises the following steps:
S21, presetting a slicing service model library; when the demand of the slice network is analyzed, a slice model library is required to be preset, wherein the slice model library comprises a plurality of slice service models, such as a low-delay slice service model, a low-power consumption slice service model, a large-bandwidth slice service model and a slice service model combining the three modes; the corresponding relation exists between the type data and the state data slicing service models of the industry terminal, and when the slicing service models are preset, only a common slicing service model library is generally preset; specifically, in the embodiment of the application, taking an industry terminal AGV as an example, the AGV refers to a transport vehicle which is provided with an electromagnetic or optical automatic navigation device and can travel along a specified navigation path and has the functions of safety protection and various transfer, and the AGV generally has the tasks of stopping, slowly traveling, high-speed traveling and the like, so that a low-delay slicing service model, a low-power slicing service model and a large-bandwidth slicing service model can be preset when a slicing service model library is preset;
S22, determining a slicing service model of the industry terminal in the slicing service model library according to the first data and the second data, wherein in a general sense, a stronger corresponding relation exists between a scene and the industry terminal, and 5G machine equipment entering a storehouse does not need large bandwidth network support but only needs a low power consumption network, so that the slicing service type of the industry terminal can be determined in the model library by combining the industry terminal, category data and state data, and the specific determining steps comprise;
s221, comparing identity data preset in the slicing service model library with the first data to determine the type of the industry terminal; different slicing service models are arranged in the slicing service model library, are established according to static data and dynamic data of different industry terminals, and can be combined with the static data and the dynamic data of the industry terminals to obtain the types and the states of the industry terminals; specifically, in the embodiment of the application, taking the example that the industry terminal is the AGV trolley, the industry terminal can be judged and analyzed to be the AGV trolley according to the model and the MAC address of the AGV trolley, and whether the movement state of the trolley is static or running can be analyzed according to the displacement speed.
S222, comparing preset scene data in the slicing service model library with the second data to determine a task scene of the industry terminal; specifically, in the embodiment of the application, the industry terminal is taken as an AGV trolley, different slicing networks are needed when the AGV trolley runs, the movement state of the AGV trolley can only be judged and analyzed according to the identity data and the state data of the trolley, in the presetting of the slicing service model library, the movement states of different scenes also correspond to different network models, in order to more accurately match the slicing service models corresponding to the current state and the scenes of the trolley in the model library, the specific task scene of the trolley is determined by comparing the scene data of the trolley with the scene data preset in the slicing service model library, and the slicing service models matched by the AGV trolley can be judged by combining the type data and the state data of the determined AGV trolley, the MAC address of the AGV trolley and the like in the steps.
In addition, due to the diversity of tasks of the industry terminals, the task of each industry terminal and the slicing service model are strongly correlated, a preset industry model library cannot generally comprise all slicing service models, for example, an AGV trolley generally has three tasks of parking, high-speed running and slow running, parking general scene data are the garage and a plurality of vehicles are closely arranged, parking tasks in the corresponding garage are matched with a low-power consumption model, when the AGV trolley parks at an airport, due to the change of dynamic data, the original slicing service model library does not have preset corresponding industry slicing models, so that the slicing service model required by the industry terminal cannot be determined, at the moment, the slicing service model can be determined through a cloud slice service model library, and after the cloud end determines the slicing service model, the corresponding slicing service model can be issued to a processing module so as to analyze network requirements of the subsequent trolley when the airport parks again. Specifically, taking an example that an industry terminal is an AGV trolley, when the AGV trolley is parked in a garage, at the moment, identity data of the AGV trolley is positioned in the warehouse, and the long-time speed is 0, at the moment, a slice service model to be configured is a low-power consumption model, if the AGV trolley is in a driving state and the speed of the trolley is greater than a certain threshold value, the AGV trolley cannot find the slice service model configured with the AGV trolley in the slice service model library, the AGV trolley can be analyzed by using a cloud, and after a new industry slice model is configured, the new industry model can be issued to the local area from the cloud.
S23, analyzing the slicing network requirements according to the slicing service model.
Each slicing service model has an industry terminal and slicing requirements corresponding to the industry terminal, and slicing network requirements can be analyzed through the slicing service models, specifically, in the embodiment of the application, if the slicing service model matched with the industry terminal is determined to be a low-power-consumption slicing service model in a plurality of slicing service model libraries according to static data and dynamic data of the industry terminal, the slicing network required by the industry terminal is the low-power-consumption slicing network.
S3, configuring a slicing network according to the slicing network requirement; according to the network demand result of the industry terminal, a slicing network template of the network management platform can be called, different slicing networks can be obtained through the slicing network template by modifying parameters, the network management platform configures the corresponding slicing network for the industry terminal according to the slicing network template after modifying parameters, and the slicing network configured to the industry terminal can be made to be the low-delay slicing network by modifying certain parameters in the slicing network template by taking the configuration of the low-delay slicing network as an example.
In addition, corresponding to the method of fig. 1, referring to fig. 2, the embodiment of the application further provides a slice network configuration system, which comprises an acquisition module, an analysis module and a configuration module; the acquisition module is used for acquiring category data of the industry terminal and state data of the industry terminal; the analysis module is used for analyzing slicing network requirements according to the scene data and the identity data; the configuration module is used for configuring the slicing network according to the slicing network requirement.
Corresponding to the method of fig. 1, the embodiment of the present application further provides a slice network configuration device, with reference to fig. 3, and the specific structure of the slice network configuration device includes:
At least one processor;
At least one memory for storing at least one program;
the at least one program, when executed by the at least one processor, causes the at least one processor to implement the slice network configuration method.
The content in the method embodiment is applicable to the embodiment of the device, and the functions specifically realized by the embodiment of the device are the same as those of the method embodiment, and the obtained beneficial effects are the same as those of the method embodiment.
Corresponding to the method of fig. 1, an embodiment of the present invention also provides a storage medium having stored therein processor-executable instructions which, when executed by a processor, are for performing the slice network configuration method.
In some alternative embodiments, the functions/acts noted in the block diagrams may occur out of the order noted in the operational illustrations. For example, two blocks shown in succession may in fact be executed substantially concurrently or the blocks may sometimes be executed in the reverse order, depending upon the functionality/acts involved. Furthermore, the embodiments presented and described in the flowcharts of the present application are provided by way of example in order to provide a more thorough understanding of the technology. The disclosed methods are not limited to the operations and logic flows presented herein. Alternative embodiments are contemplated in which the order of various operations is changed, and in which sub-operations described as part of a larger operation are performed independently.
Furthermore, while the application is described in the context of functional modules, it should be appreciated that, unless otherwise indicated, one or more of the functions and/or features may be integrated in a single physical device and/or software module or may be implemented in separate physical devices or software modules. It will also be appreciated that a detailed discussion of the actual implementation of each module is not necessary to an understanding of the present application. Rather, the actual implementation of the various functional modules in the apparatus disclosed herein will be apparent to those skilled in the art from consideration of their attributes, functions and internal relationships. Accordingly, one of ordinary skill in the art can implement the application as set forth in the claims without undue experimentation. It is also to be understood that the specific concepts disclosed are merely illustrative and are not intended to be limiting upon the scope of the application, which is to be defined in the appended claims and their full scope of equivalents.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in the form of a software product stored in a storage medium, including several programs for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable programs for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with a program execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the programs from the program execution system, apparatus, or device and execute the programs. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the program execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
It is to be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable program execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
In the foregoing description of the present specification, reference has been made to the terms "one embodiment/example", "another embodiment/example", "certain embodiments/examples", and the like, means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the present application have been shown and described, it will be understood by those of ordinary skill in the art that: many changes, modifications, substitutions and variations may be made to the embodiments without departing from the spirit and principles of the application, the scope of which is defined by the claims and their equivalents.
While the preferred embodiment of the present application has been described in detail, the present application is not limited to the embodiments described above, and various equivalent modifications and substitutions can be made by those skilled in the art without departing from the spirit of the present application, and these equivalent modifications and substitutions are intended to be included in the scope of the present application as defined in the appended claims.
Claims (7)
1. The slice network configuration method is characterized by being used for configuring a slice network connected with an industry terminal and comprising the following steps of:
acquiring first data and second data of an industry terminal; wherein the first data comprises identity data of an industry terminal; the second data comprises scene data of an industry terminal;
Analyzing slicing network requirements based on the first data and the second data;
Configuring a slicing network for the industry terminal according to the slicing network requirement; the step of analyzing slice network requirements based on the first data and the second data comprises:
presetting a slicing service model library;
determining a slicing service model of the industry terminal in the slicing service model library according to the first data and the second data;
Analyzing the slicing network requirements according to the slicing service model;
the step of determining a sliced business model in the sliced business model library based on the first data and the second data comprises:
Comparing identity data preset in the slicing service model library with the first data to determine the type of the industry terminal;
Comparing the preset scene data in the slicing service model library with the second data to determine a task scene of the industry terminal;
and determining a slicing service model according to the type of the industry terminal and the task scene of the industry terminal.
2. The method of claim 1, wherein the step of obtaining the first data and the second data of the industry terminal comprises:
establishing network connection between the industry terminal and a gateway;
acquiring static data of the industry terminal;
acquiring dynamic data of the industry terminal at preset time intervals;
And responding to the changed network signal strength, and acquiring second data of the industry terminal.
3. The method of claim 1, wherein the step of determining a slice traffic model in the slice traffic model library based on the identity data and the scene data further comprises: and when the slice service model library cannot determine the slice service model, determining the slice service model from the slice service model library in the cloud.
4. The method of claim 1, wherein the step of configuring the slice network according to the slice network requirements comprises:
Calling a slicing network template according to the slicing network requirement;
and modifying parameters of the slicing network template, and configuring the slicing network of the industry terminal.
5. The slicing network configuration system is characterized by comprising an acquisition module, an analysis module and a configuration module;
The acquisition module is used for acquiring first data and second data of the industry terminal; wherein the first data comprises identity data of an industry terminal; the second data comprises scene data of an industry terminal;
The analysis module is used for analyzing slicing network requirements according to the scene data and the identity data;
the configuration module is used for configuring a slicing network according to the slicing network requirement; the step of analyzing slice network requirements based on the first data and the second data comprises:
presetting a slicing service model library;
determining a slicing service model of the industry terminal in the slicing service model library according to the first data and the second data;
Analyzing the slicing network requirements according to the slicing service model;
the step of determining a sliced business model in the sliced business model library based on the first data and the second data comprises:
Comparing identity data preset in the slicing service model library with the first data to determine the type of the industry terminal;
Comparing the preset scene data in the slicing service model library with the second data to determine a task scene of the industry terminal;
and determining a slicing service model according to the type of the industry terminal and the task scene of the industry terminal.
6. A slice network configuration apparatus, characterized by comprising:
At least one processor;
At least one memory for storing at least one program;
the at least one program, when executed by the at least one processor, causes the at least one processor to implement a slice network configuration method as claimed in any one of claims 1-4.
7. A storage medium having stored therein processor executable instructions which, when executed by a processor, are for performing a slice network configuration method as claimed in any one of claims 1-4.
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