CN115208747A - Network slice management method and management system of smart power grid - Google Patents
Network slice management method and management system of smart power grid Download PDFInfo
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Abstract
The invention provides a network slice management method and a network slice management system of a smart power 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 the power grid service matched with the type of the target power grid service exists in the first power grid service preset with a service model and/or the second power grid service corresponding to the existing network slice, determining a target parameter value of the network slice of the target power grid service according to a parameter value of the network slice corresponding to the power grid service matched with the type and the required parameter value; and sending the target parameter value to operator equipment for ordering the network slice. In the invention, the parameters of the network slices of the required power grid service are automatically determined and ordered, the problem that the network slices are inconsistent with the requirements due to manual configuration of the network slices is avoided, and the parameters of the determined network slices of the power grid service are ensured to meet the requirements.
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 a network slice management system of a smart grid.
Background
In the networking of the smart power grid, a wireless network can be switched into a plurality of virtual networks through a slicing technology, and each virtual network corresponds to different time delay, speed, bearing, number of users, bandwidth and the like.
A power grid manufacturer initiates an application to a wireless Network operator according to different Service requirements, and the operator configures a Communication Service Management Function (CSMF) and a Network Slice Management Function (NSMF) to perform Network Slice configuration and Subscriber Identity Module (SIM) Network card opening for the power grid manufacturer, as shown in fig. 1.
In the above scheme of network slice configuration, the slice configuration is performed through the inside of the operator, and the process is simple, but there are certain limitations and defects, which are expressed as follows: the power grid requirements are analyzed and judged manually, and the network slices are generated and configured manually by network operation and maintenance personnel in CSMF and NSMF, so that the network slices cannot be guaranteed to be consistent with the requirements.
Disclosure of Invention
The embodiment of the invention provides a network slice management method and a network slice management system for a smart power grid, which are used for solving the problem that the consistency between a configured network slice and a requirement cannot be ensured by manually analyzing and judging in the network slice generation and configuration processes of the conventional smart power grid.
In order to solve the technical problem, 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 the power grid service matched with the type of the target power grid service exists in the first power grid service preset with a service model and/or the second power grid service corresponding to the existing network slice, determining a target parameter value of the network slice of the target power grid service according to a parameter value of the network slice corresponding to the power grid service matched with the type and the required parameter value;
and sending the target parameter value to operator equipment for ordering the network slice.
Optionally, the method further includes:
and respectively presetting service models for various power grid services, wherein the service model corresponding to each power grid service comprises parameter values of network slices corresponding to the power grid service.
Optionally, if a power grid service matching the type of the target power grid service exists in the first power grid service preset with a service model and/or in the second power grid service corresponding to the existing network slice, 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 power grid service matching the type and the required 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, and the first power grid service has a target first power grid service matched with the type of the target power grid service, executing the following steps for each required 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, 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 so, taking the required parameter value as the target parameter value;
otherwise, comparing the required parameter value with a parameter value in the service model of the target first power grid service, and if the parameter value in the service model of the target first power grid service is not lower than the required parameter value, taking the parameter value in the service model of the target first power grid service as the target 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 a power grid service matched with the type of the target power grid service exists in the first power grid service preset with a service model and/or in the second power grid service corresponding to the existing network slice, 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 power grid service matched with the type and the required parameter value includes:
if the second power grid service does not have a target second power grid service matched with the type of the target 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, executing the following steps aiming at each required parameter value in the work order:
comparing the required parameter value with a parameter value in a service model of the target first power grid service, and if the parameter value in the service model of the target first power grid service is not lower than the required parameter value, taking the parameter value in the service model of the target first power grid service as the target 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 includes:
and if the second power grid service has a target second power grid service matched with the type of the target power grid service, and the first power grid service does not have a target first power grid service matched with the type of the target power grid service, taking the required parameter value as the target parameter value.
Optionally, the method further includes:
and if no power grid service matched with the type of the target power grid service exists in the first power grid service and the second power grid service, taking the required parameter value as the target parameter value.
Optionally, the method further includes:
for each existing network slice, acquiring the parameter value of the existing network slice at fixed time;
calculating the correction value of each parameter of the existing network slice according to the acquired parameter value and design parameter value of the existing network slice, wherein the correction value is calculated by adopting the following formula:
wherein alpha is a correction value, D n Value of the acquired parameter, H n And D is a design parameter value, and n is a collection time parameter of the parameter.
Optionally, the work order further includes: ordering demand information of the Internet of things card; the method further comprises the following steps:
ordering the Internet of things card according to the information of the ordering requirement of the Internet of things card;
and 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 for 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 the power grid service matched with the type of the target power grid service exists in the first power grid service preset with a service model and/or the second power grid service corresponding to the existing network slice, determining a target parameter value of the network slice of the target power grid service according to a parameter value of the network slice corresponding to the power grid service matched with the type and the required parameter value;
and the slice management module is used for sending the target parameter value to operator equipment for ordering the network slices.
In a third aspect, an embodiment of the present invention provides an electronic device, including: a processor, a memory and a program stored on the memory and executable on the processor, the program, when executed by the processor, implementing the steps of the network slice management method of a smart grid of the first aspect described above.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the steps of the network slice management method for a smart grid according to the first aspect are implemented.
In the embodiment of the invention, the parameters of the network slices of the required power grid service are automatically determined and ordered by referring to the preset service model and/or the parameters of the network slices of the power grid service of the existing network slices, so that the problem that the network slices are inconsistent with the requirements due to manual configuration of the network slices is avoided, and the parameters of the determined network slices of the power grid service are ensured to meet the requirements.
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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 refer to like parts throughout the drawings. In the drawings:
fig. 1 is a schematic flow chart of a conventional scheme for network slice configuration;
fig. 2 is a schematic flowchart 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 flowchart of ordering network slices by the network slice management system of the smart grid according to the 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 technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present 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.
Referring to fig. 2, an embodiment of the present invention provides a method for managing network slices of 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 time delay, transmission bandwidth, time service precision, transmission rate, mobile rate and the like.
Step 22: if the power grid service matched with the type of the target power grid service exists in the first power grid service preset with a service model and/or the second power grid service corresponding to the existing network slice, determining a target parameter value of the network slice of the target power grid service according to a parameter value of the network slice corresponding to the power grid service matched with the type and the required 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 slices of the required power grid services are automatically determined and ordered by referring to the preset service model and/or the parameters of the network slices of the power grid services of the existing network slices, so that the problem that the network slices are inconsistent with the requirements due to manual configuration of the network slices is avoided, and the parameters of the determined network slices of the power grid services are ensured to meet the requirements.
In this embodiment of the present invention, optionally, the method further includes: and respectively presetting service models for various power grid services, wherein the service model corresponding to each power grid service comprises parameter values of network slices corresponding to the power grid service. In the embodiment of the invention, the power grid services can be divided into production control services and management information services, the production control services comprise power distribution automation, differential protection, accurate load and the like, and the management information services comprise metering services, unmanned aerial vehicle routing inspection services and the like. And different kinds of power grid services have different parameter values in the preset service model.
In this embodiment of the present invention, optionally, if a power grid service matching the type of the target power grid service exists in a first power grid service preset with a service model and/or in a second power grid service corresponding to an existing network slice, determining a target parameter value of a network slice of the target power grid service according to a parameter value of the network slice corresponding to the power grid service matching the type and the requirement 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, and the first power grid service has a target first power grid service matched with the type of the target power grid service, executing the following steps for each required 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, 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 so, taking the required parameter value as the target parameter value;
otherwise, comparing the required parameter value with a parameter value in the service model of the target first power grid service, and if the parameter value in the service model of the target first power grid service is not lower than the required parameter value, taking the parameter value in the service model of the target first power grid service as the target 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 an existing network slice, there may be a plurality of second grid services matching the target grid service of the network slice to be ordered, and in this case, one of the second grid services may be selected as the target second grid service.
In this embodiment of the present invention, optionally, if a power grid service matching the type of the target power grid service exists in a first power grid service preset with a service model and/or in a second power grid service corresponding to an existing network slice, determining a target parameter value of a network slice of the target power grid service according to a parameter value of the network slice corresponding to the power grid service matching the type and the requirement parameter value includes:
if the second power grid service does not have a target second power grid service matched with the type of the target 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, executing the following steps aiming at each required parameter value in the work order:
comparing the required parameter value with a parameter value in a service model of the target first power grid service, and if the parameter value in the service model of the target first power grid service is not lower than the required parameter value, taking the parameter value in the service model of the target first power grid service as the target 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 this embodiment of the present invention, optionally, the method further includes: and if the second power grid service has a target second power grid service matched with the type of the target power grid service, and the first power grid service does not have a target first power grid service matched with the type of the target power grid service, taking the required parameter value as the target parameter value.
In this embodiment of the present invention, optionally, the method further includes: and if no power grid service matched with the type of the target power grid service exists in the first power grid service and the second power grid service, taking the required parameter value as the target parameter value.
In this embodiment of the present invention, optionally, the method further includes:
for each existing network slice, periodically acquiring the parameter value of the existing network slice;
calculating the correction value of each parameter of the existing network slice according to the acquired parameter value and design parameter value of the existing network slice, wherein the correction value is calculated by adopting the following formula:
wherein alpha is a correction value, D n Value of the acquired parameter, H n And D is a design parameter value, and n is a collection time parameter of the parameter.
The existing network slice configuration scheme also has the following problems: the internet of things card opening process is separated from the slicing process, system management on the internet of things card cannot be carried out, and potential safety hazards exist. In order to solve the above problem, in the embodiment of the present invention, optionally, the work order further includes: ordering demand information of the Internet of things card; the method further comprises the following steps:
ordering the Internet of things card according to the information of the ordering requirement of the Internet of things card;
and binding the ordered Internet of things card with the ordered network slice.
Namely, the unique binding of the slicing and the Internet of things card is carried out through the work order, and the direct card and slicing management of a power grid user is supported.
The network slice in the above embodiment may be a 5G network slice, and certainly, network slices in other future communication systems, such as a 6G network slice, are not excluded.
The embodiment of the invention makes up the defect that the slice technology only provides power grid services and the slice is fixedly and correspondingly configured in the existing intelligent power grid network, and obtains more optimized slice configuration through intelligent analysis; meanwhile, bidirectional binding of the slices and the Internet of things card is completed, and a one-stop slice management scheme is realized.
The embodiment of the invention also provides a network slice management system of the smart 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 the power grid service matched with the type of the target power grid service exists in the first power grid service preset with a service model and/or the second power grid service corresponding to the existing network slice, determining a target parameter value of the network slice of the target power grid service according to a parameter value of the network slice corresponding to the power grid service matched with the type and the required parameter value;
and the slice management module is used for sending the target parameter value to operator equipment for ordering the network slices.
Optionally, the system further includes: and 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 a power grid service matching the type of the target power grid service exists in the first power grid service preset with a service model and/or in the second power grid service corresponding to the existing network slice, 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 power grid service matching the type and the required 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, and the first power grid service has a target first power grid service matched with the type of the target power grid service, executing the following steps for each required 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, 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 so, taking the required parameter value as the target parameter value;
otherwise, comparing the required parameter value with a parameter value in the service model of the target first power grid service, and if the parameter value in the service model of the target first power grid service is not lower than the required parameter value, taking the parameter value in the service model of the target first power grid service as the target 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 this embodiment of the present invention, optionally, if a power grid service matching the type of the target power grid service exists in a first power grid service preset with a service model and/or in a second power grid service corresponding to an existing network slice, determining a target parameter value of a network slice of the target power grid service according to a parameter value of the network slice corresponding to the power grid service matching the type and the requirement parameter value includes:
if the second power grid service does not have a target second power grid service matched with the type of the target 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, executing the following steps aiming at each required parameter value in the work order:
comparing the required parameter value with a parameter value in a service model of the target first power grid service, and if the parameter value in the service model of the target first power grid service is not lower than the required parameter value, taking the parameter value in the service model of the target first power grid service as the target 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, the intelligent analysis module is further configured to, if the second grid service has a target second grid service that matches the type of the target grid service, and the first grid service does not have a target first grid service that matches the type of the target grid service, take the required parameter value as the target parameter value.
In the embodiment of the present invention, optionally, the intelligent analysis module is further configured to take the required parameter value as the target parameter value if there is no power grid service matching the type of the target power grid service in the first power grid service and the second power grid service.
Optionally, the intelligent analysis module is further configured to periodically obtain, for each existing network slice, a parameter value of the existing network slice;
calculating the correction value of each parameter of the existing network slice according to the acquired parameter value and design parameter value of the existing network slice, wherein the correction value is calculated by adopting the following formula:
wherein alpha is a correction value, D n Value of the acquired parameter, H n And D is a design parameter value, and n is a collection time parameter of the parameter.
Optionally, the work order further includes: ordering demand information of the Internet of things card; the system further comprises:
the card ordering module is used for ordering the Internet of things card according to the ordering demand information of the Internet of things card;
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 present invention, where the network slice management system of the smart grid includes: the system comprises a slice management subsystem and an Internet of things card management subsystem.
Wherein, the section management subsystem includes:
1. demand approval module
After a power grid manufacturer generates a requirement for ordering a network slice for a target power grid service, a communication manager of a power grid inputs a requirement parameter value of the network slice in a requirement approval module, wherein the requirement parameter comprises at least one of the following parameters: service type, area, communication time delay, transmission bandwidth, time service precision, transmission rate, mobile rate and the like. And the requirement examination and approval module is responsible for recording and storing the requirement parameter values and generating a work order, and the work order is submitted to high-level personnel for examination and approval to complete requirement examination and approval.
2. Business model module
The module carries out modeling on various power grid services in advance to generate a service model of each power grid service, and the service model corresponding to each power grid service comprises parameter values of network slices corresponding to the power grid service.
The parameter values are entered by the platform user, including, for example, at least one of: the service type, the region, the communication time delay, the transmission bandwidth, the time service precision, the transmission rate, the mobile rate and the like.
The power grid services can be divided into production control services and management information services, the production control services comprise power distribution automation, differential protection, accurate load and the like, and the management information services comprise metering services, unmanned aerial vehicle routing inspection services and the like. And different kinds of power grid services have different parameter values in the preset service model.
3. Intelligent analysis module
After the demand approval module generates a work order, in order to ensure the rationality of subsequent slice ordering, the work order is sent to an intelligent analysis module, the intelligent analysis module analyzes the work order, and final slice ordering data (namely the target parameter value) is output by combining a preset service model and an existing network slice.
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 the second power grid service has a target second power grid service matched with the type of the target power grid service, and the first power grid service has a target first power grid service matched with the type of the target 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 no power grid service matched with the type of the target power grid service exists in the first power grid service and the second power grid service, taking the required 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, 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 demand parameter value as the target parameter value, and entering (5); otherwise, entering (3);
in this embodiment of the application, a correction range of a parameter value of a network slice corresponding to a target second grid service may be represented as (X, α X), 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 precision 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 grid service, if so, i.e. D e (D1, α ∈ [ ]) D D1 And taking the communication time delay D in the work order as a target parameter value. Similarly, the determination method is also the same for the timing accuracy T and the transmission bandwidth B.
(3) Comparing the required parameter value with a parameter value in a service model of a target first power grid service, and if the parameter value in the service model of the target first power grid service is not lower than the required parameter value, 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 lower than the demand parameter value, taking the demand 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.
Next, a method of calculating a correction value for each parameter of an existing network slice will be described.
For each existing network slice, acquiring the parameter value of the existing network slice at fixed time;
calculating a correction value of each parameter of the existing network slice according to the acquired parameter value and design parameter value of the existing network slice, wherein the correction value is calculated by adopting the following formula:
wherein alpha is a correction value, X n Value of the acquired parameter, H n And the parameter is the acquisition time parameter of the parameter, X is a design parameter value, and n is an acquisition time parameter of the parameter.
For example, system variables (exemplified by three parameters, i.e., communication delay D, time service precision T, and transmission bandwidth B, and the like) are maintained at every hour in the following manner:
(1) Presetting parameter correction values alpha D, alpha t and alpha b aiming at each existing network slice, wherein the initial values of the three parameters are all 1;
(2) Presetting a network slice life cycle H (system default);
(3) And the system acquires and acquires parameter values Dn, tn and Bn corresponding to each network slice from the CSMF and the NSMF every hour, wherein the design parameter values of the network slices are respectively D, T and B.
(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 are collected every hour, each actually existing network slice is maintained, and the data are updated every hour.
4. Slice management module
The module interacts with CSMF and NSMF to perform the following functions:
(1) And sending the target parameter value generated by the intelligent analysis module to the CSMF through the uniform protocol interface to complete network slice ordering.
(2) And regularly acquiring parameter values of the network slices, such as access quantity, communication delay, actual use bandwidth and the like, and feeding back the parameter values to the intelligent analysis module for analysis.
(3) And issuing the 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 management of information such as a slice, a card number and flow corresponding to the card.
6. Card ordering module
The module is responsible for interacting with a card operation center, realizes card information transfer, and comprises card opening, card sleeve meal ordering, and/or card slice binding and the like.
7. Member management module
After the slice management module finishes the network slice ordering of the work order, the member management module orders the cards issued by the card ordering module according to the work order requirement, and after receiving the successful card ordering message, the ordered cards are bound with the slices.
In addition, the membership of the card to the slice is also maintained here:
(1) The card is switched from one network slice to another network slice, the member management module executes operation, and issues instructions to the slice management module, and the slice management module sends the instructions to the CSMF interface.
And 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 with reference to fig. 4, taking the subscription of a network slice of a grid service as an example:
step 1, a power grid person submits a demand in a system, wherein the demand comprises a demand parameter value specified by the system and information such as the number of required Internet of things cards. And sending the information of the Internet of things card to the card information module for pretreatment.
And 2, after the requirement audit is passed, generating a work order by the requirement and sending the work order to the intelligent analysis module.
And 3, after the intelligent analysis module receives the work order, and the existing network slice and service model module obtains a target parameter value according to an analysis algorithm.
And 4, receiving the work order and the corresponding target parameter value by the slice management module, sending the target parameter value to the CSMF, and acquiring a final slice ordering result.
And 5, the slice management module informs the card information module that the network slices are ordered, and starts a card ordering stage.
And 6, the card information module sends the requirements to a card ordering module (also called an IOT card ordering module) according to the requirement information of the work order, and the card ordering process is completed. Meanwhile, the card ordering module updates the card information in real time for the management of 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 the slice information to the member management module to complete 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, which includes 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 foregoing network slice management method for a smart grid, and can achieve the same technical effect, and is not described herein again to avoid repetition.
The embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements each process of the foregoing network slice management method for a smart grid, and can achieve the same technical effect, and is not described herein again to avoid repetition. The computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an 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 a … …" does not exclude the presence of another identical element in a process, method, article, or apparatus that comprises the element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention or portions thereof contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the methods according to the embodiments of the present invention.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (11)
1. A network slice management method of a smart grid is characterized by comprising 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 the power grid service matched with the type of the target power grid service exists in the first power grid service preset with a service model and/or the second power grid service corresponding to the existing network slice, determining a target parameter value of the network slice of the target power grid service according to a parameter value of the network slice corresponding to the power grid service matched with the type and the required parameter value;
and sending the target parameter value to operator equipment for ordering the network slice.
2. The method of claim 1, further comprising:
and respectively presetting service models for various power grid services, wherein the service model corresponding to each power grid service comprises parameter values of network slices corresponding to the power grid service.
3. The method according to claim 1, wherein if a power grid service matching the type of the target power grid service exists in a first power grid service preset with a service model and/or in a second power grid service corresponding to an existing network slice, determining a target parameter value of the network slice of the target power grid service according to a parameter value of the network slice corresponding to the power grid service matching the type and the requirement parameter value comprises:
if the second power grid service has a target second power grid service matched with the type of the target power grid service, and the first power grid service has a target first power grid service matched with the type of the target power grid service, executing the following steps for each required 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, 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 so, taking the required parameter value as the target parameter value;
otherwise, comparing the required parameter value with a parameter value in the service model of the target first power grid service, and if the parameter value in the service model of the target first power grid service is not lower than the required parameter value, taking the parameter value in the service model of the target first power grid service as the target 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 a power grid service matching the type of the target power grid service exists in a first power grid service preset with a service model and/or in a second power grid service corresponding to an existing network slice, determining a target parameter value of the network slice of the target power grid service according to a parameter value of the network slice corresponding to the power grid service matching the type and the requirement parameter value comprises:
if the second power grid service does not have a target second power grid service matched with the type of the target 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, executing the following steps aiming at each required parameter value in the work order:
comparing the required parameter value with a parameter value in a service model of the target first power grid service, and if the parameter value in the service model of the target first power grid service is not lower than the required parameter value, taking the parameter value in the service model of the target first power grid service as the target 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 of claim 1, further comprising:
and if the second power grid service has a target second power grid service matched with the type of the target power grid service, and the first power grid service does not have a target first power grid service matched with the type of the target power grid service, taking the required parameter value as the target parameter value.
6. The method of claim 1, further comprising:
and if no power grid service matched with the type of the target power grid service exists in the first power grid service and the second power grid service, taking the required parameter value as the target parameter value.
7. The method of claim 3, further comprising:
for each existing network slice, acquiring the parameter value of the existing network slice at fixed time;
calculating the correction value of each parameter of the existing network slice according to the acquired parameter value and design parameter value of the existing network slice, wherein the correction value is calculated by adopting the following formula:
wherein α is a correction value, X n CollectedValue of parameter H n And the parameter is the acquisition time parameter of the parameter, X is a design parameter value, and n is an acquisition time parameter of the parameter.
8. The method of claim 1, wherein the work order further comprises: ordering demand information of the Internet of things card; the method further comprises the following steps:
ordering the Internet of things card according to the information of the ordering requirement of the Internet of things card;
and binding the ordered Internet of things card with the ordered network slice.
9. The utility model provides a network section management system of smart power grids which characterized in that, includes intelligent analysis module and section 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 the power grid service matched with the type of the target power grid service exists in the first power grid service preset with a service model and/or the second power grid service corresponding to the existing network slice, determining a target parameter value of the network slice of the target power grid service according to a parameter value of the network slice corresponding to the power grid service matched with the type and the required parameter value;
and the slice management module is used for sending the target parameter value to operator equipment for ordering the network slices.
10. An electronic device, comprising: a processor, a memory and a program stored on the memory and executable on the processor, the program when executed by the processor implementing 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 being executed by a processor, carries out the steps of the network slice management method of a smart grid according to any one of claims 1 to 8.
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP3358887A1 (en) * | 2017-02-06 | 2018-08-08 | Industrial Technology Research Institute | User equipment registration method for network slice selection and network controller and network communication system using the same |
| CN108632068A (en) * | 2017-03-22 | 2018-10-09 | 大唐移动通信设备有限公司 | A kind of network slice template generation, network slice template application process and device |
| CN109219020A (en) * | 2018-09-14 | 2019-01-15 | 云迅智能科技南京有限公司 | A kind of network dicing method and system |
| CN110430590A (en) * | 2019-08-15 | 2019-11-08 | 广东工业大学 | Network is sliced matching process and device |
| CN110476402A (en) * | 2017-05-22 | 2019-11-19 | 华为技术有限公司 | The method, apparatus and communication system of network slice creation |
| WO2020091636A1 (en) * | 2018-10-29 | 2020-05-07 | Telefonaktiebolaget Lm Ericsson (Publ) | Methods, wireless communication devices and systems adapted for network slicing scenarios |
| CN112235140A (en) * | 2020-10-13 | 2021-01-15 | 中移（杭州）信息技术有限公司 | Network slice management method, device, network equipment and storage medium |
| CN112243264A (en) * | 2020-10-14 | 2021-01-19 | 中国联合网络通信集团有限公司 | Method, system and network equipment for customizing service |
| CN112423312A (en) * | 2019-08-20 | 2021-02-26 | 中国电信股份有限公司 | Information processing method, apparatus, system, and computer-readable storage medium |
-
2021
- 2021-04-13 CN CN202110393966.6A patent/CN115208747B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP3358887A1 (en) * | 2017-02-06 | 2018-08-08 | Industrial Technology Research Institute | User equipment registration method for network slice selection and network controller and network communication system using the same |
| CN108632068A (en) * | 2017-03-22 | 2018-10-09 | 大唐移动通信设备有限公司 | A kind of network slice template generation, network slice template application process and device |
| CN110476402A (en) * | 2017-05-22 | 2019-11-19 | 华为技术有限公司 | The method, apparatus and communication system of network slice creation |
| CN109219020A (en) * | 2018-09-14 | 2019-01-15 | 云迅智能科技南京有限公司 | A kind of network dicing method and system |
| WO2020091636A1 (en) * | 2018-10-29 | 2020-05-07 | Telefonaktiebolaget Lm Ericsson (Publ) | Methods, wireless communication devices and systems adapted for network slicing scenarios |
| CN110430590A (en) * | 2019-08-15 | 2019-11-08 | 广东工业大学 | Network is sliced matching process and device |
| CN112423312A (en) * | 2019-08-20 | 2021-02-26 | 中国电信股份有限公司 | Information processing method, apparatus, system, and computer-readable storage medium |
| CN112235140A (en) * | 2020-10-13 | 2021-01-15 | 中移（杭州）信息技术有限公司 | Network slice management method, device, network equipment and storage medium |
| CN112243264A (en) * | 2020-10-14 | 2021-01-19 | 中国联合网络通信集团有限公司 | Method, system and network equipment for customizing service |
Non-Patent Citations (2)
| Title |
|---|
| JOSE ORDONEZ-LUCENA: "《2020 IEEE International Conference on Communications workshops》", MODELING NETWORK SLICE AS A SERVICE IN A MILTI-VENDOR 5G ECPERIMENTATION ECOSYSTEM * |
| 贺金红;张港红;高建;: "5G切片技术在电力物联网应用的智能化管理", 电力信息与通信技术, no. 05 * |
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