CN115208747B - Network slice management method and system for smart power grid - Google Patents
Network slice management method and system for smart power grid Download PDFInfo
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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
- H04L41/0876—Aspects of the degree of configuration automation
- H04L41/0886—Fully automatic configuration
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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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention provides a network slice management method and a management system of a smart grid, wherein the management method comprises the following steps: acquiring a work order submitted by a user, wherein the work order comprises a demand parameter value of a network slice of a target power grid service; if a first power grid service with a service model is preset, and/or a second power grid service corresponding to an existing network slice exists, a power grid service matched with the type of the target power grid service, and a target parameter value of the network slice of the target power grid service is determined according to a parameter value of the network slice corresponding to the type-matched power grid service and the demand parameter value; and sending the target parameter value to operator equipment for ordering the network slice. In the invention, the determination and the ordering of the parameters of the network slice of the required power grid service are automatically completed, the problem that the network slice is inconsistent with the requirement caused by manually configuring the network slice is avoided, and the determined parameters of the network slice of the power grid service are ensured to meet the requirement.
Description
Technical Field
The embodiment of the invention relates to the technical field of smart grids, in particular to a network slice management method and system for a smart grid.
Background
In the intelligent electric network networking, a plurality of virtual networks can be cut out from the wireless network through a slicing technology, and each virtual network corresponds to different time delay, speed, bearing, number of users, bandwidth and the like.
The network manufacturer initiates an application to the wireless network operator according to different service requirements, the operator configures a communication service management function (Communication Service Management Function, CSMF) and a network slicing management function (Network Slice Management Function, NSMF), and performs network slicing configuration and user identification card (Subscriber Identity Module, SIM) card opening of the Internet of things for the network manufacturer, as shown in fig. 1.
In the scheme of the network slice configuration, the slice configuration is performed through the inside of an operator, so that the flow is simple, but certain limitations and defects exist, and the scheme is expressed as follows: the power grid demand is analyzed and judged manually, and network slicing is manually transmitted and configured by network operation and maintenance personnel in CSMF and NSMF from generation and configuration, so that the network slicing cannot be guaranteed to be consistent with the demand.
Disclosure of Invention
The embodiment of the invention provides a network slice management method and a network slice management system for a smart grid, which are used for solving the problem that the configured network slice cannot be ensured to be consistent with requirements through manual analysis and judgment in the generation and configuration processes of the network slice of the existing smart grid.
In order to solve the technical problems, the invention is realized as follows:
in a first aspect, an embodiment of the present invention provides a network slice management method for a smart grid, including:
acquiring a work order submitted by a user, wherein the work order comprises a demand parameter value of a network slice of a target power grid service;
if a first power grid service with a service model is preset, and/or a second power grid service corresponding to an existing network slice exists, a power grid service matched with the type of the target power grid service, and a target parameter value of the network slice of the target power grid service is determined according to a parameter value of the network slice corresponding to the type-matched power grid service and the demand parameter value;
and sending the target parameter value to operator equipment for ordering the network slice.
Optionally, the method further comprises:
and respectively presetting service models for a plurality of power grid services, wherein the service model corresponding to each power grid service comprises parameter values of the network slice corresponding to the power grid service.
Optionally, if the first power grid service preset with the service model and/or the second power grid service corresponding to the existing network slice has the power grid service matched with the type of the target power grid service, determining the target parameter value of the network slice of the target power grid service according to the parameter value of the network slice corresponding to the type-matched power grid service and the demand parameter value includes:
if the second power grid service has a target second power grid service matched with the type of the target power grid service, the first power grid service has a target first power grid service matched with the type of the target power grid service, and the following steps are executed for each demand parameter value in the work order:
judging whether the required parameter value is in a correction range of the parameter value of the network slice corresponding to the target second power grid service or not, wherein the correction range is obtained according to the design parameter value and the correction value of the network slice corresponding to the target second power grid service;
if yes, taking the required parameter value as the target parameter value;
otherwise, comparing the required parameter value with a parameter value in a service model of the target first power grid service, and taking the parameter value in the service model of the target first power grid service as the target parameter value if the parameter value in the service model of the target first power grid service is not lower than the required parameter value; and if the parameter value in the service model of the target first power grid service is lower than the demand parameter value, taking the demand parameter value as the target parameter value.
Optionally, if the first power grid service preset with the service model and/or the second power grid service corresponding to the existing network slice has the power grid service matched with the type of the target power grid service, determining the target parameter value of the network slice of the target power grid service according to the parameter value of the network slice corresponding to the type-matched power grid service and the demand parameter value includes:
if the second power grid service does not have the target second power grid service matched with the type of the target power grid service, the first power grid service has the target first power grid service matched with the type of the target power grid service, and the following steps are executed for each demand parameter value in the work order:
comparing the demand parameter value with a parameter value in a service model of the target first power grid service, and taking the parameter value in the service model of the target first power grid service as the target parameter value if the parameter value in the service model of the target first power grid service is not lower than the demand parameter value;
and if the parameter value in the service model of the target first power grid service is lower than the demand parameter value, taking the demand parameter value as the target parameter value.
Optionally, the method further comprises:
and if the second power grid service has the target second power grid service matched with the type of the target power grid service, the first power grid service does not have the target first power grid service matched with the type of the target power grid service, and the demand parameter value is used as the target parameter value.
Optionally, the method further includes:
and if the first power grid service and the second power grid service do not exist in the power grid service which is matched with the type of the target power grid service, taking the demand parameter value as the target parameter value.
Optionally, the method further comprises:
for each existing network slice, periodically acquiring parameter values of the existing network slice;
calculating correction values of all parameters of the existing network slice according to the acquired parameter values and design parameter values of the existing network slice, wherein the correction values are calculated by adopting the following formula:
wherein alpha is a correction value, D n Collected parameter values, H n And D is a designed parameter value, and n is a parameter of the acquisition times of the parameter.
Optionally, the work order further includes: the Internet of things card orders the demand information; the method further comprises the steps of:
according to the ordering requirement information of the Internet of things card, ordering the Internet of things card;
binding the ordered Internet of things card with the ordered network slice.
In a second aspect, an embodiment of the present invention provides a network slice management system of a smart grid, including an intelligent analysis module and a slice management module, where:
the intelligent analysis module is used for acquiring a work order submitted by a user, wherein the work order comprises a demand parameter value of a network slice of a target power grid service; if a first power grid service with a service model is preset, and/or a second power grid service corresponding to an existing network slice exists, a power grid service matched with the type of the target power grid service, and a target parameter value of the network slice of the target power grid service is determined according to a parameter value of the network slice corresponding to the type-matched power grid service and the demand parameter value;
and the slice management module is used for sending the target parameter value to operator equipment for ordering network slices.
In a third aspect, an embodiment of the present invention provides an electronic device, including: the method comprises a processor, a memory and a program stored in the memory and capable of running on the processor, wherein the program is executed by the processor to realize the steps of the network slice management method of the smart grid in the first aspect.
In a fourth aspect, an embodiment of the present invention provides a computer readable storage medium, where a computer program is stored, where the computer program, when executed by a processor, implements the steps of the network slice management method of the smart grid of the first aspect.
In the embodiment of the invention, the parameters of the network slice of the required network service are automatically determined and ordered by referring to the preset service model and/or the parameters of the network slice of the network service of the existing network slice, so that the problem that the network slice is inconsistent with the requirement caused by manually configuring the network slice is avoided, and the determined parameters of the network slice of the network service are ensured to meet the requirement.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:
FIG. 1 is a flow diagram of a scheme of a prior art network slice configuration;
fig. 2 is a flow chart of a network slice management method of a smart grid according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a network slice management system of a smart grid according to an embodiment of the present invention;
fig. 4 is a schematic flow chart of ordering network slices by the network slice management system of the smart grid according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 2, an embodiment of the present invention provides a network slice management method for a smart grid, including:
step 21: acquiring a work order submitted by a user, wherein the work order comprises a demand parameter value of a network slice of a target power grid service;
the demand parameters include, for example, at least one of: service type, area, communication delay, transmission bandwidth, time service precision, transmission rate, mobile rate, etc.
Step 22: if a first power grid service with a service model is preset, and/or a second power grid service corresponding to an existing network slice exists, a power grid service matched with the type of the target power grid service, and a target parameter value of the network slice of the target power grid service is determined according to a parameter value of the network slice corresponding to the type-matched power grid service and the demand parameter value;
step 23: and sending the target parameter value to operator equipment for ordering the network slice.
In the embodiment of the invention, the parameters of the network slice of the required network service are automatically determined and ordered by referring to the preset service model and/or the parameters of the network slice of the network service of the existing network slice, so that the problem that the network slice is inconsistent with the requirement caused by manually configuring the network slice is avoided, and the determined parameters of the network slice of the network service are ensured to meet the requirement.
In an embodiment of the present invention, optionally, the method further includes: and respectively presetting service models for a plurality of power grid services, wherein the service model corresponding to each power grid service comprises parameter values of the network slice corresponding to the power grid service. In the embodiment of the invention, the power grid service can be divided into a production control service and a management information service, wherein the production control service comprises power distribution automation, differential protection, accurate load and the like, and the management information service comprises metering service, unmanned aerial vehicle inspection service and the like. Different kinds of power grid services, and parameter values in a preset service model are different.
In the embodiment of the present invention, optionally, if a first power grid service preset with a service model and/or a second power grid service corresponding to an existing network slice exists, there is a power grid service matched with a type of the target power grid service, and determining, according to a parameter value of the network slice corresponding to the type-matched power grid service and the demand parameter value, a target parameter value of the network slice of the target power grid service includes:
if the second power grid service has a target second power grid service matched with the type of the target power grid service, the first power grid service has a target first power grid service matched with the type of the target power grid service, and the following steps are executed for each demand parameter value in the work order:
judging whether the required parameter value is in a correction range of the parameter value of the network slice corresponding to the target second power grid service or not, wherein the correction range is obtained according to the design parameter value and the correction value of the network slice corresponding to the target second power grid service;
if yes, taking the required parameter value as the target parameter value;
otherwise, comparing the required parameter value with a parameter value in a service model of the target first power grid service, and taking the parameter value in the service model of the target first power grid service as the target parameter value if the parameter value in the service model of the target first power grid service is not lower than the required parameter value; and if the parameter value in the service model of the target first power grid service is lower than the demand parameter value, taking the demand parameter value as the target parameter value.
It should be noted that, in the existing network slice, there may be a plurality of second grid services matching the target grid services of the network slice to be subscribed, and at this time, one of the second grid services may be selected as the target second grid service.
In the embodiment of the present invention, optionally, if a first power grid service preset with a service model and/or a second power grid service corresponding to an existing network slice exists, there is a power grid service matched with a type of the target power grid service, and determining, according to a parameter value of the network slice corresponding to the type-matched power grid service and the demand parameter value, a target parameter value of the network slice of the target power grid service includes:
if the second power grid service does not have the target second power grid service matched with the type of the target power grid service, the first power grid service has the target first power grid service matched with the type of the target power grid service, and the following steps are executed for each demand parameter value in the work order:
comparing the demand parameter value with a parameter value in a service model of the target first power grid service, and taking the parameter value in the service model of the target first power grid service as the target parameter value if the parameter value in the service model of the target first power grid service is not lower than the demand parameter value;
and if the parameter value in the service model of the target first power grid service is lower than the demand parameter value, taking the demand parameter value as the target parameter value.
In an embodiment of the present invention, optionally, the method further includes: and if the second power grid service has the target second power grid service matched with the type of the target power grid service, the first power grid service does not have the target first power grid service matched with the type of the target power grid service, and the demand parameter value is used as the target parameter value.
In an embodiment of the present invention, optionally, the method further includes: and if the first power grid service and the second power grid service do not exist in the power grid service which is matched with the type of the target power grid service, taking the demand parameter value as the target parameter value.
In an embodiment of the present invention, optionally, the method further includes:
for each existing network slice, periodically acquiring parameter values of the existing network slice;
calculating correction values of all parameters of the existing network slice according to the acquired parameter values and design parameter values of the existing network slice, wherein the correction values are calculated by adopting the following formula:
wherein alpha is a correction value, D n Collected parameter values, H n And D is a designed parameter value, and n is a parameter of the acquisition times of the parameter.
The existing network slice configuration scheme also has the following problems: the card opening process and the slicing process of the Internet of things are separated, the card opening process and the slicing process of the Internet of things cannot be subjected to system management, and potential safety hazards exist. In order to solve the above problem, in an embodiment of the present invention, optionally, the work order further includes: the Internet of things card orders the demand information; the method further comprises the steps of:
according to the ordering requirement information of the Internet of things card, ordering the Internet of things card;
binding the ordered Internet of things card with the ordered network slice.
That is, the unique binding of the slice and the internet of things card is carried out through the work order, so that the direct card and slice management of the power grid user is supported.
The network slice in the above embodiment may be a 5G network slice, and of course, a network slice in other communication systems in the future, such as a 6G network slice, is not excluded.
The embodiment of the invention makes up the defect that only power grid service and slice fixed corresponding configuration are provided in the slicing technology in the existing intelligent power grid network, and obtains more optimized slice configuration through intelligent analysis; meanwhile, the bidirectional binding of the slice and the internet of things card is completed, and a one-stop type slice management scheme is realized.
The embodiment of the invention also provides a network slice management system of the intelligent power grid, which comprises an intelligent analysis module and a slice management module, wherein:
the intelligent analysis module is used for acquiring a work order submitted by a user, wherein the work order comprises a demand parameter value of a network slice of a target power grid service; if a first power grid service with a service model is preset, and/or a second power grid service corresponding to an existing network slice exists, a power grid service matched with the type of the target power grid service, and a target parameter value of the network slice of the target power grid service is determined according to a parameter value of the network slice corresponding to the type-matched power grid service and the demand parameter value;
and the slice management module is used for sending the target parameter value to operator equipment for ordering network slices.
Optionally, the system further comprises: the service model module is used for respectively presetting service models for various power grid services, and the service model corresponding to each power grid service comprises parameter values of network slices corresponding to the power grid service.
Optionally, if the first power grid service preset with the service model and/or the second power grid service corresponding to the existing network slice has the power grid service matched with the type of the target power grid service, determining the target parameter value of the network slice of the target power grid service according to the parameter value of the network slice corresponding to the type-matched power grid service and the demand parameter value includes:
if the second power grid service has a target second power grid service matched with the type of the target power grid service, the first power grid service has a target first power grid service matched with the type of the target power grid service, and the following steps are executed for each demand parameter value in the work order:
judging whether the required parameter value is in a correction range of the parameter value of the network slice corresponding to the target second power grid service or not, wherein the correction range is obtained according to the design parameter value and the correction value of the network slice corresponding to the target second power grid service;
if yes, taking the required parameter value as the target parameter value;
otherwise, comparing the required parameter value with a parameter value in a service model of the target first power grid service, and taking the parameter value in the service model of the target first power grid service as the target parameter value if the parameter value in the service model of the target first power grid service is not lower than the required parameter value; and if the parameter value in the service model of the target first power grid service is lower than the demand parameter value, taking the demand parameter value as the target parameter value.
In the embodiment of the present invention, optionally, if a first power grid service preset with a service model and/or a second power grid service corresponding to an existing network slice exists, there is a power grid service matched with a type of the target power grid service, and determining, according to a parameter value of the network slice corresponding to the type-matched power grid service and the demand parameter value, a target parameter value of the network slice of the target power grid service includes:
if the second power grid service does not have the target second power grid service matched with the type of the target power grid service, the first power grid service has the target first power grid service matched with the type of the target power grid service, and the following steps are executed for each demand parameter value in the work order:
comparing the demand parameter value with a parameter value in a service model of the target first power grid service, and taking the parameter value in the service model of the target first power grid service as the target parameter value if the parameter value in the service model of the target first power grid service is not lower than the demand parameter value;
and if the parameter value in the service model of the target first power grid service is lower than the demand parameter value, taking the demand parameter value as the target parameter value.
In an embodiment of the present invention, optionally, the intelligent analysis module is further configured to, if the second power grid service has a target second power grid service that matches the type of the target power grid service, determine that the first power grid service does not have a target first power grid service that matches the type of the target power grid service, and use the requirement parameter value as the target parameter value.
In an embodiment of the present invention, optionally, the intelligent analysis module is further configured to use the demand parameter value as the target parameter value if no grid service matching the type of the target grid service exists in the first grid service and the second grid service.
Optionally, the intelligent analysis module is further configured to, for each existing network slice, obtain parameter values of the existing network slice at regular time;
calculating correction values of all parameters of the existing network slice according to the acquired parameter values and design parameter values of the existing network slice, wherein the correction values are calculated by adopting the following formula:
wherein alpha is a correction value, D n Collected parameter values, H n And D is a designed parameter value, and n is a parameter of the acquisition times of the parameter.
Optionally, the work order further includes: the Internet of things card orders the demand information; the system further comprises:
the card ordering module is used for ordering the internet of things card according to the internet of things card ordering demand information;
and the member management module is used for binding the ordered Internet of things card with the ordered network slice.
Referring to fig. 3, fig. 3 is a schematic structural diagram of a network slice management system of a smart grid according to an embodiment of the invention, where the network slice management system of the smart grid includes: the slice management subsystem and the card management subsystem of the internet of things.
Wherein the slice management subsystem comprises:
1. demand approval module
After the power grid manufacturer generates a demand for ordering a network slice for a target power grid service, a communication manager of the power grid inputs a demand parameter value of the network slice at a demand approval module, wherein the demand parameter comprises at least one of the following: service type, area, communication delay, transmission bandwidth, time service precision, transmission rate, mobile rate, etc. The demand approval module is responsible for recording and storing the demand parameter values and generating a work order, and the work order is submitted to high-level personnel for approval to finish demand approval.
2. Service model module
The module models a plurality of power grid services in advance, and generates a service model of each power grid service, wherein the service model corresponding to each power grid service comprises parameter values of a network slice corresponding to the power grid service.
The parameter values are entered by the platform user, said parameters for example comprising at least one of: service type, area, communication delay, transmission bandwidth, time service precision, transmission rate, mobile rate, etc.
The power grid service can be divided into a production control service and a management information service, wherein the production control service comprises power distribution automation, differential protection, accurate load and the like, and the management information service comprises metering service, unmanned aerial vehicle inspection service and the like. Different kinds of power grid services, and parameter values in a preset service model are different.
3. Intelligent analysis module
After the demand approval module generates the work order, the work order is sent to the intelligent analysis module for analysis by the intelligent analysis module in order to ensure the rationality of the subsequent slice ordering, and the final slice ordering data (namely the target parameter values) are output by combining a preset service model and the existing network slices.
The analysis process of the intelligent analysis module is as follows:
(1) Matching the type of the target grid service in the work order with the type of the grid service (hereinafter also referred to as a first grid service) stored in the service model module and with the type of the grid service (hereinafter also referred to as a second grid service) of the existing network slice stored in the slice management module, if:
if a target second power grid service matched with the type of the target power grid service exists in the second power grid service, and a target first power grid service matched with the type of the target power grid service exists in the first power grid service, entering (2);
if the second power grid service does not have the target second power grid service matched with the type of the target power grid service, entering, and if the first power grid service has the target first power grid service matched with the type of the target power grid service, entering (3);
if the first power grid service and the second power grid service do not exist power grid services matched with the type of the target power grid service, taking a demand parameter value in the work order as the target parameter value, and entering (5);
(2) Judging whether the required parameter value is in a correction range of the parameter value of the network slice corresponding to the target second power grid service or not, wherein the correction range is obtained according to the design parameter value and the correction value of the network slice corresponding to the target second power grid service; if yes, taking the required parameter value as the target parameter value, and entering (5); otherwise, entering (3);
in this embodiment of the present application, the correction range of the parameter value of the network slice corresponding to the target second power grid service may be expressed as (X, αx), where X is a design parameter value and α is a correction value. For each parameter, there is a corresponding correction range.
For example, the work order includes three required parameter values (communication delay D, time service accuracy T and transmission bandwidth B), and for the communication delay D, it is determined whether the communication delay D in the work order is within the correction range of the communication delay D1 of the network slice corresponding to the target second power grid service, if so, D e (D1, α D D1 The communication delay D in the work order is taken as the target parameter value. Similarly, the judgment method is the same for the time service accuracy T and the transmission bandwidth B.
(3) Comparing the demand parameter value with a parameter value in a service model of a target first power grid service, and taking the parameter value in the service model of the target first power grid service as the target parameter value if the parameter value in the service model of the target first power grid service is not lower than the demand parameter value; if the parameter value in the service model of the target first power grid service is lower than the required parameter value, taking the required parameter value as the target parameter value, and entering (4);
(4) And generating a parameter value set by using all the obtained target parameter values, and sending the parameter value set to the slice management module.
The method for calculating the correction value of each parameter of the existing network slice will be described below.
For each existing network slice, periodically acquiring parameter values of the existing network slice;
calculating correction values of all parameters of the existing network slice according to the acquired parameter values and design parameter values of the existing network slice, wherein the correction values are calculated by adopting the following formula:
wherein alpha is a correction value, X n Collected parameter values, H n And X is a designed parameter value, and n is a parameter of the acquisition times of the parameter.
For example, the system variables (here exemplified by three parameters of communication delay D, timing accuracy T, and transmission bandwidth B, and the other parameters are the same) are maintained at regular intervals each hour in the following manner:
(1) Presetting parameter correction values alpha D, alpha t and alpha b for each existing network slice, wherein the initial values of three parameters are all 1;
(2) Presetting a network slice life cycle H (system default value);
(3) The system acquires the parameter values Dn, tn and Bn corresponding to each network slice from CSMF and NSMF in each hour, and the design parameter values of the network slices are D, T and B respectively.
(4) The time parameter of each acquisition is Hn, the initial value of the time parameter is H, and the time parameter is-1 after each acquisition.
(5) The correction value is calculated by the following formula (taking the communication delay D as an example):
when data is collected every hour, each actually existing network slice is maintained, and the data is updated every hour.
4. Slice management module
The module interacts with CSMF and NSMF to complete the following functions:
(1) And sending the target parameter value generated by the intelligent analysis module to the CSMF through a unified protocol interface to complete network slice ordering.
(2) And acquiring parameter values of the network slices at fixed time, such as access quantity, communication time delay, actual use bandwidth and the like, and feeding back to the intelligent analysis module for analysis.
(3) And issuing new adding, editing and/or deleting instructions of the network slices to which the single or multiple SIM cards belong.
5. Card information module
The module is responsible for managing the Internet of things card in the system, and comprises a slice corresponding to the card, a card number, flow and other information.
6. Card ordering module
The module is responsible for interacting with a card operation center to realize card information transfer, including card opening, card cutting ordering, and/or card slicing binding.
7. Member management module
After the slicing management module completes network slicing ordering of the worksheet, the member management module issues ordering requirements of the cards to the card ordering module according to the worksheet requirements, and after receiving a card ordering success message, the ordered cards are bound with the slicing.
In addition, card to slice membership is maintained here as well:
(1) The card is switched from one network slice to another, the member management module performs the operation, issues instructions to the slice management module, and the slice management module sends instructions to the CSMF interface.
And secondly, deleting the card from the network slice, and issuing an instruction to the card ordering module and the card information module by the member management module to delete the card.
The following describes the operation of the system, taking the order of a network slice of a grid service as an example, in conjunction with fig. 4:
step 1, grid personnel submits requirements in a system, the requirements comprise requirement parameter values specified by the system, and meanwhile, information such as the number of required cards of the Internet of things is provided. And the card information of the Internet of things is sent to the card information module for preprocessing.
And step 2, after the requirement checking is passed, the requirement generating work order is sent to the intelligent analysis module.
And step 3, after the intelligent analysis module receives the work order, and the existing network slice and service model module, acquiring a target parameter value according to an analysis algorithm.
And 4, receiving the work order and the corresponding target parameter value thereof by the slice management module, sending the target parameter value to the CSMF, and obtaining a final slice ordering result.
And 5, informing the card information module by the slice management module, completing the ordering of the network slice, and starting the card ordering stage.
And 6, the card information module sends the requirement to a card ordering module (also called an Internet of things card ordering module) according to the requirement information of the work order, and the card ordering process is completed. And meanwhile, the card ordering module updates card information in real time and is used for managing the card information module.
And 7, the card ordering module sends the card information to the member management module.
And 8, the slice management module sends slice information to the member management module to finish the binding of the card and the network slice.
Referring to fig. 5, an embodiment of the present invention further provides an electronic device 50, including a processor 51, a memory 52, and a computer program stored in the memory 52 and capable of running on the processor 51, where the computer program when executed by the processor 51 implements each process of the network slice management method embodiment of the smart grid, and the same technical effects can be achieved, and for avoiding repetition, a detailed description is omitted herein.
The embodiment of the invention also provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements the processes of the network slice management method embodiment of the smart grid, and can achieve the same technical effects, and in order to avoid repetition, the description is omitted here. Wherein the computer readable storage medium is selected from Read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), magnetic disk or optical disk.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising instructions for causing a terminal (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present invention.
The embodiments of the present invention have been described above with reference to the accompanying drawings, but the present invention is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those having ordinary skill in the art without departing from the spirit of the present invention and the scope of the claims, which are to be protected by the present invention.
Claims (11)
1. A network slice management method for a smart grid, comprising:
acquiring a work order submitted by a user, wherein the work order comprises a demand parameter value of a network slice of a target power grid service;
if a first power grid service with a service model is preset, and/or a second power grid service corresponding to an existing network slice exists, a power grid service matched with the type of the target power grid service, and a target parameter value of the network slice of the target power grid service is determined according to a parameter value of the network slice corresponding to the type-matched power grid service and the demand parameter value;
and sending the target parameter value to operator equipment for ordering the network slice.
2. The method as recited in claim 1, further comprising:
and respectively presetting service models for a plurality of power grid services, wherein the service model corresponding to each power grid service comprises parameter values of the network slice corresponding to the power grid service.
3. The method according to claim 1, wherein if there is a grid service matching the type of the target grid service in a first grid service preset with a service model and/or in a second grid service corresponding to an existing network slice, determining a target parameter value of the network slice of the target grid service according to the parameter value of the network slice corresponding to the type-matching grid service and the demand parameter value includes:
if the second power grid service has a target second power grid service matched with the type of the target power grid service, the first power grid service has a target first power grid service matched with the type of the target power grid service, and the following steps are executed for each demand parameter value in the work order:
judging whether the required parameter value is in a correction range of the parameter value of the network slice corresponding to the target second power grid service or not, wherein the correction range is obtained according to the design parameter value and the correction value of the network slice corresponding to the target second power grid service;
if yes, taking the required parameter value as the target parameter value;
otherwise, comparing the required parameter value with a parameter value in a service model of the target first power grid service, and taking the parameter value in the service model of the target first power grid service as the target parameter value if the parameter value in the service model of the target first power grid service is not lower than the required parameter value; and if the parameter value in the service model of the target first power grid service is lower than the demand parameter value, taking the demand parameter value as the target parameter value.
4. The method according to claim 1, wherein if there is a grid service matching the type of the target grid service in a first grid service preset with a service model and/or in a second grid service corresponding to an existing network slice, determining a target parameter value of the network slice of the target grid service according to the parameter value of the network slice corresponding to the type-matching grid service and the demand parameter value includes:
if the second power grid service does not have the target second power grid service matched with the type of the target power grid service, the first power grid service has the target first power grid service matched with the type of the target power grid service, and the following steps are executed for each demand parameter value in the work order:
comparing the demand parameter value with a parameter value in a service model of the target first power grid service, and taking the parameter value in the service model of the target first power grid service as the target parameter value if the parameter value in the service model of the target first power grid service is not lower than the demand parameter value;
and if the parameter value in the service model of the target first power grid service is lower than the demand parameter value, taking the demand parameter value as the target parameter value.
5. The method as recited in claim 1, further comprising:
and if the second power grid service has the target second power grid service matched with the type of the target power grid service, the first power grid service does not have the target first power grid service matched with the type of the target power grid service, and the demand parameter value is used as the target parameter value.
6. The method as recited in claim 1, further comprising:
and if the first power grid service and the second power grid service do not exist in the power grid service which is matched with the type of the target power grid service, taking the demand parameter value as the target parameter value.
7. A method according to claim 3, further comprising:
for each existing network slice, periodically acquiring parameter values of the existing network slice;
calculating correction values of all parameters of the existing network slice according to the acquired parameter values and design parameter values of the existing network slice, wherein the correction values are calculated by adopting the following formula:
wherein alpha is a correction value, X n Collected parameter values, H n And X is a designed parameter value, and n is a parameter of the acquisition times of the parameter.
8. The method of claim 1, wherein the worksheet further comprises: the Internet of things card orders the demand information; the method further comprises the steps of:
according to the ordering requirement information of the Internet of things card, ordering the Internet of things card;
binding the ordered Internet of things card with the ordered network slice.
9. The utility model provides a network slice management system of smart power grids which characterized in that includes intelligent analysis module and slice management module, wherein:
the intelligent analysis module is used for acquiring a work order submitted by a user, wherein the work order comprises a demand parameter value of a network slice of a target power grid service; if a first power grid service with a service model is preset, and/or a second power grid service corresponding to an existing network slice exists, a power grid service matched with the type of the target power grid service, and a target parameter value of the network slice of the target power grid service is determined according to a parameter value of the network slice corresponding to the type-matched power grid service and the demand parameter value;
and the slice management module is used for sending the target parameter value to operator equipment for ordering network slices.
10. An electronic device, comprising: a processor, a memory and a program stored on the memory and executable on the processor, which when executed by the processor, implements the steps of the network slice management method of a smart grid as claimed in any one of claims 1 to 8.
11. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the network slice management method of a smart grid as claimed in any one of claims 1 to 8.
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