CN115208747A - Network slice management method and management system of smart power grid - Google Patents

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

Network slice management method and management system for smart grid

technical field

Embodiments of the present invention relate to the technical field of smart grids, and in particular, to a network slice management method and management system for smart grids.

Background technique

In smart grid networking, the wireless network can be cut into multiple virtual networks through slicing technology, and each virtual network corresponds to different delays, rates, bearer, number of users, and bandwidth.

According to different business needs, the power grid manufacturer initiates an application for the wireless network operator, and the operator configures it on the Communication Service Management Function (CSMF) and Network Slice Management Function (NSMF). The power grid manufacturer configures the network slice and opens the Subscriber Identity Module (SIM) IoT card, as shown in Figure 1.

In the above network slicing configuration scheme, the slicing configuration is performed internally by the operator. The process is simple, but there are certain limitations and defects. The performance is as follows: The power grid demand is analyzed and judged manually, and the network slicing is generated and configured by the network operation and maintenance. Personnel manually transmit and configure in CSMF and NSMF, resulting in network slicing cannot be guaranteed to be consistent with requirements.

SUMMARY OF THE INVENTION

Embodiments of the present invention provide a network slice management method and management system for a smart grid, which are used to solve the problem that in the existing smart grid network slice generation and configuration process, manual analysis and judgment are performed, and the configured network slice and requirements cannot be guaranteed. consistent question.

In order to solve the above-mentioned technical problems, the present invention is achieved in this way:

In a first aspect, an embodiment of the present invention provides a network slice management method for a smart grid, including:

Obtain a work order submitted by the user, where the work order includes the demand parameter value of the network slice of the target power grid business;

If there is a grid service matching the type of the target grid service in the first grid service for which the service model is preset, and/or in the second grid service corresponding to the existing network slice, according to the type of matching grid service The parameter value of the network slice corresponding to the power grid service and the demand parameter value, to determine the target parameter value of the network slice of the target power grid service;

The target parameter value is sent to the operator equipment for ordering network slices.

Optionally, the method further includes:

The service models are preset for various power grid services, and the service model corresponding to each power grid service includes parameter values of the network slice corresponding to the grid service.

Optionally, if there is a grid service matching the type of the target grid service in the first grid service for which the service model is preset, and/or in the second grid service corresponding to the existing network slice, according to the The parameter value of the network slice corresponding to the grid service with the matching type and the demand parameter value, and determining the target parameter value of the network slice of the target grid service includes:

If the second power grid service has a target second power grid service matching the type of the target power grid service, and there is a target first power grid service matching the type of the target power grid service in the first power grid service, for the target power grid service Perform the following steps for each stated requirement parameter value in the stated work order:

Determine whether the demand parameter value is within the correction range of the parameter value of the network slice corresponding to the target second power grid service, and the correction range is based on the design parameter value and correction value of the network slice corresponding to the target second power grid service arrive;

If so, use the demand parameter value as the target parameter value;

Otherwise, compare the demand parameter value with the parameter value in the business model of the target first power grid service, if the parameter value in the business model of the target first power grid service is not lower than the demand parameter value, The parameter value in the business model of the target first power grid service is used as the target parameter value; if the parameter value in the business model of the target first power grid service is lower than the demand parameter value, the demand parameter value as the target parameter value.

Optionally, if there is a grid service matching the type of the target grid service in the first grid service for which the service model is preset, and/or in the second grid service corresponding to the existing network slice, according to the The parameter value of the network slice corresponding to the grid service with the matching type and the demand parameter value, and determining the target parameter value of the network slice of the target grid service includes:

If the second power grid service does not have a target second power grid service matching the type of the target power grid service, and there is a target first power grid service matching the type of the target power grid service in the first power grid service, for Each of the required parameter values in the work order performs the following steps:

Compare the demand parameter value with the parameter value in the business model of the target first power grid business, and if the parameter value in the business model of the target first power grid business is not lower than the demand parameter value, compare the demand parameter value. The parameter value in the business model of the target first power grid business is used as the target parameter value;

If the parameter value in the business model of the target first power grid service is lower than the demand parameter value, the demand parameter value is used as the target parameter value.

Optionally, the method further includes:

If there is a target second power grid service matching the type of the target power grid service in the second power grid service, and there is no target first power grid service matching the type of the target power grid service in the first power grid service, the The demand parameter value is used as the target parameter value.

Optionally, the description further includes:

If there is no grid service matching the type of the target grid service in the first grid service and the second grid service, the demand parameter value is used as the target parameter value.

Optionally, the method further includes:

For each existing network slice, periodically obtain the parameter values of the existing network slice;

According to the obtained parameter value and design parameter value of the existing network slice, the correction value of each parameter of the existing network slice is calculated, and the correction value is calculated by the following formula:

Wherein, α is the correction value, D _n is the parameter value collected, H _n is the collection time parameter of the parameter, D is the design parameter value, and n is the parameter of the collection times of the parameter.

Optionally, the work order further includes: IoT card order requirement information; the method further includes:

Order the IoT card according to the IoT card order requirement information;

Bind the ordered IoT card to 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, wherein:

The intelligent analysis module is used to obtain the work order submitted by the user, and the work order includes the demand parameter value of the network slice of the target grid service; In the second grid service corresponding to the existing network slice, there is a grid service matching the type of the target grid service, and according to the parameter value of the network slice corresponding to the type of grid service and the demand parameter value, determine the Describe the target parameter value of the network slice of the target grid service;

The slice management module is configured to send the target parameter value to the operator equipment for ordering 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, when the program is executed by the processor The steps for implementing the method for managing network slices of a smart grid according to the first aspect above.

In a fourth aspect, an embodiment of the present invention 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, implements the smart grid network of the first aspect above Steps of the slice management method.

In the embodiment of the present invention, with reference to the preset service model and/or the existing network slice parameters of the grid service of the network slice, the determination and ordering of the required parameters of the network slice of the grid service are automatically completed, avoiding manual Network slicing is configured, and the resulting network slicing is inconsistent with the requirements, ensuring that the network slicing parameters of the determined power grid services meet the requirements.

Description of 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 for the purpose of illustrating preferred embodiments only and are not to be considered limiting of the invention. Also, the same components are denoted by the same reference numerals throughout the drawings. In the attached image:

1 is a schematic flowchart of an existing solution for network slicing configuration;

2 is a schematic flowchart of a network slice management method for a smart grid according to an embodiment of the present invention;

3 is a schematic structural diagram of a network slice management system for a smart grid according to an embodiment of the present invention;

4 is a schematic flowchart of ordering network slices by a network slice management system of a 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 ways

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

Referring to FIG. 2, an embodiment of the present invention provides a network slice management method for a smart grid, including:

Step 21: Obtain a work order submitted by the user, where the work order includes the demand parameter value of the network slice of the target power grid business;

The demand parameters include, for example, at least one of the following: service type, area, communication delay, transmission bandwidth, timing accuracy, transmission rate, moving rate, and the like.

Step 22: If there is a grid service matching the type of the target grid service in the first grid service with the preset service model and/or in the second grid service corresponding to the existing network slice, according to the The parameter value and the demand parameter value of the network slice corresponding to the grid service whose type is matched, determine the target parameter value of the network slice of the target grid service;

Step 23: Send the target parameter value to the operator equipment for ordering network slices.

In the embodiment of the present invention, with reference to the preset service model and/or the existing network slice parameters of the grid service of the network slice, the determination and ordering of the required parameters of the network slice of the grid service are automatically completed, avoiding manual Network slicing is configured, and the resulting network slicing is inconsistent with the requirements, ensuring that the network slicing parameters of the determined power grid services meet the requirements.

In the embodiment of the present invention, optionally, the method further includes: presetting service models for multiple grid services respectively, and the service model corresponding to each grid service includes parameter values of the network slice corresponding to the grid service. In the embodiment of the present invention, power grid services can be divided into production control services and management information services. Production control services include power distribution automation, differential protection, precision load, etc., and management information services include metering services, drones Inspection business, etc. Different types of power grid services have different parameter values in the preset service models.

In this embodiment of the present invention, optionally, if there is a first power grid service with a preset service model and/or a second power grid service corresponding to an existing network slice that matches the type of the target power grid service According to the parameter value of the network slice corresponding to the type-matched grid service and the demand parameter value, determining the target parameter value of the network slice of the target grid service includes:

If the second power grid service has a target second power grid service matching the type of the target power grid service, and there is a target first power grid service matching the type of the target power grid service in the first power grid service, for the target power grid service Perform the following steps for each stated requirement parameter value in the stated work order:

Determine whether the demand parameter value is within the correction range of the parameter value of the network slice corresponding to the target second power grid service, and the correction range is based on the design parameter value and correction value of the network slice corresponding to the target second power grid service arrive;

If so, use the demand parameter value as the target parameter value;

Otherwise, compare the demand parameter value with the parameter value in the business model of the target first power grid service, if the parameter value in the business model of the target first power grid service is not lower than the demand parameter value, The parameter value in the business model of the target first power grid service is used as the target parameter value; if the parameter value in the business model of the target first power grid service is lower than the demand parameter value, the demand parameter value as the target parameter value.

It should be noted that, in the existing network slice, there may be multiple second grid services matching the target grid service of the network slice to be ordered. In this case, one of them can be selected as the above-mentioned target second grid service.

In this embodiment of the present invention, optionally, if there is a first power grid service with a preset service model and/or a second power grid service corresponding to an existing network slice that matches the type of the target power grid service According to the parameter value of the network slice corresponding to the type-matched grid service and the demand parameter value, determining the target parameter value of the network slice of the target grid service includes:

If the second power grid service does not have a target second power grid service matching the type of the target power grid service, and there is a target first power grid service matching the type of the target power grid service in the first power grid service, for Each of the required parameter values in the work order performs the following steps:

Compare the demand parameter value with the parameter value in the business model of the target first power grid business, and if the parameter value in the business model of the target first power grid business is not lower than the demand parameter value, compare the demand parameter value. The parameter value in the business model of the target first power grid business is used as the target parameter value;

If the parameter value in the business model of the target first power grid service is lower than the demand parameter value, the demand parameter value is used as the target parameter value.

In the embodiment of the present invention, optionally, the method further includes: if the second power grid service has a target second power grid service that matches the type of the target power grid service, the first power grid service does not have a target power grid service that matches the type of the target power grid service. The target first grid service whose type matches the target grid service uses the demand parameter value as the target parameter value.

In the embodiment of the present invention, optionally, the method further includes: if there is no grid service matching the type of the target grid service in the first grid service and the second grid service, The demand parameter value is used as the target parameter value.

In this embodiment of the present invention, optionally, the method further includes:

For each existing network slice, periodically obtain the parameter values of the existing network slice;

According to the obtained parameter value and design parameter value of the existing network slice, the correction value of each parameter of the existing network slice is calculated, and the correction value is calculated by the following formula:

Wherein, α is the correction value, D _n is the parameter value collected, H _n is the collection time parameter of the parameter, D is the design parameter value, and n is the parameter of the collection times of the parameter.

The existing network slicing configuration scheme also has the following problems: the process of opening an IoT card is separated from the slicing process, and it is impossible to systematically manage the IoT card, which has potential security risks. To solve the above problem, in this embodiment of the present invention, optionally, the work order further includes: IoT card ordering requirement information; and the method further includes:

Order the IoT card according to the IoT card order requirement information;

Bind the ordered IoT card to the ordered network slice.

That is to say, the unique binding of slices and IoT cards through work orders supports grid users to directly manage cards and slices.

The network slicing in the above embodiment may be a 5G network slicing. Of course, it is not excluded that it is a network slicing in other communication systems in the future, such as a 6G network slicing.

The embodiment of the present invention makes up for the deficiency of the existing smart grid network that only provides grid services and fixed corresponding configuration of the slice in the slicing technology, and obtains a more optimized slice configuration through intelligent analysis; The two-way binding of the card realizes a one-stop management slicing scheme.

An embodiment of the present invention further provides a network slice management system for a smart grid, including an intelligent analysis module and a slice management module, wherein:

The intelligent analysis module is used to obtain the work order submitted by the user, and the work order includes the demand parameter value of the network slice of the target grid service; In the second grid service corresponding to the existing network slice, there is a grid service matching the type of the target grid service, and according to the parameter value of the network slice corresponding to the type of grid service and the demand parameter value, determine the Describe the target parameter value of the network slice of the target grid service;

The slice management module is configured to send the target parameter value to the operator equipment for ordering network slices.

Optionally, the system further includes: a service model module, configured to preset service models for multiple grid services, and the service model corresponding to each grid service includes parameter values of the network slice corresponding to the grid service.

Optionally, if there is a grid service matching the type of the target grid service in the first grid service for which the service model is preset, and/or in the second grid service corresponding to the existing network slice, according to the The parameter value of the network slice corresponding to the grid service with the matching type and the demand parameter value, and determining the target parameter value of the network slice of the target grid service includes:

If the second power grid service has a target second power grid service matching the type of the target power grid service, and there is a target first power grid service matching the type of the target power grid service in the first power grid service, for the target power grid service Perform the following steps for each stated requirement parameter value in the stated work order:

Determine whether the demand parameter value is within the correction range of the parameter value of the network slice corresponding to the target second power grid service, and the correction range is based on the design parameter value and correction value of the network slice corresponding to the target second power grid service arrive;

If so, use the demand parameter value as the target parameter value;

Otherwise, compare the demand parameter value with the parameter value in the business model of the target first power grid service, if the parameter value in the business model of the target first power grid service is not lower than the demand parameter value, The parameter value in the business model of the target first power grid service is used as the target parameter value; if the parameter value in the business model of the target first power grid service is lower than the demand parameter value, the demand parameter value as the target parameter value.

In this embodiment of the present invention, optionally, if there is a first power grid service with a preset service model and/or a second power grid service corresponding to an existing network slice that matches the type of the target power grid service According to the parameter value of the network slice corresponding to the type-matched grid service and the demand parameter value, determining the target parameter value of the network slice of the target grid service includes:

If the second power grid service does not have a target second power grid service matching the type of the target power grid service, and there is a target first power grid service matching the type of the target power grid service in the first power grid service, for Each of the required parameter values in the work order performs the following steps:

Compare the demand parameter value with the parameter value in the business model of the target first power grid business, and if the parameter value in the business model of the target first power grid business is not lower than the demand parameter value, compare the demand parameter value. The parameter value in the business model of the target first power grid business is used as the target parameter value;

If the parameter value in the business model of the target first power grid service is lower than the demand parameter value, the demand parameter value is used as the target parameter value.

In the 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, the first power grid service If there is no target first grid service matching the type of the target grid service, the demand parameter value is used as the target parameter value.

In this embodiment of the present invention, optionally, the intelligent analysis module is further configured to, if neither the first power grid service nor the second power grid service has a power grid service matching the type of the target power grid service , taking the demand parameter value as the target parameter value.

Optionally, the intelligent analysis module is further configured to obtain the parameter value of the existing network slice regularly for each existing network slice;

According to the obtained parameter value and design parameter value of the existing network slice, the correction value of each parameter of the existing network slice is calculated, and the correction value is calculated by the following formula:

Wherein, α is the correction value, D _n is the parameter value collected, H _n is the collection time parameter of the parameter, D is the design parameter value, and n is the parameter of the collection times of the parameter.

Optionally, the work order further includes: IoT card order requirement information; the system further includes:

a card ordering module, used for ordering the IoT card according to the IoT card ordering requirement information;

The member management module is used to bind the ordered IoT card with the ordered network slice.

Please refer to FIG. 3 , which is a schematic structural diagram of a network slice management system of a smart grid according to an embodiment of the present invention. The network slice management system of the smart grid includes a slice management subsystem and an IoT card management subsystem.

Among them, the slice management subsystem includes:

1. Requirement approval module

After the power grid manufacturer generates the demand for ordering network slices for the target power grid business, the communication management personnel of the power grid enter the demand parameter value of the network slice in the demand approval module. For example, the demand parameters include at least one of the following: service type, area, communication delay, transmission Bandwidth, timing accuracy, transmission rate and moving rate, etc. The demand approval module is responsible for recording and saving demand parameter values and generating work orders. The work orders are submitted to high-level personnel for review to complete demand approval.

2. Business model module

This module models multiple grid services in advance, and generates a service model for each grid service. The service model corresponding to each grid service includes the parameter values of the network slice corresponding to the grid service.

The parameter value is input by the platform user, and the parameter includes, for example, at least one of the following: service type, area, communication delay, transmission bandwidth, timing accuracy, transmission rate, and moving rate.

Power grid business can be divided into production control business and management information business. Production control business includes distribution automation, differential protection, precision load, etc., management information business includes metering business, UAV inspection business, etc. Different types of power grid services have different parameter values in the preset service models.

3. Intelligent analysis module

After the demand approval module generates a work order, in order to ensure the rationality of subsequent slice orders, the work order is sent to the intelligent analysis module, which analyzes it, combines the preset business model and the existing network slice, and outputs the final result. Slice order data (i.e. target parameter values above).

The analysis process of the intelligent analysis module is as follows:

(1) Compare the type of the target grid service in the work order with the type of grid service (also referred to as the first grid service hereinafter) stored in the service model module, and with the existing network slice stored in the slice management module The type of grid service (also referred to as the second grid service hereinafter) is matched, if:

If there is a target second power grid service matching the type of the target power grid service in the second power grid service, and there is a target first power grid service matching the type of the target power grid service in the first power grid service, go to (2);

If there is no target second power grid service matching the type of the target power grid service in the second power grid service, enter; if there is a target first power grid service matching the type of the target power grid service in the first power grid service, enter (3);

If there is no grid service matching the type of the target grid service in the first grid service and the second grid service, take the demand parameter value in the work order as the target parameter value, and enter (5);

(2) Judging whether the demand parameter value is within the correction range of the parameter value of the network slice corresponding to the target second power grid service, and the correction range is based on the design parameter value of the network slice corresponding to the target second power grid service and the correction value is obtained; if so, take the demand parameter value as the target parameter value, and enter (5); otherwise, enter (3);

In the 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 the design parameter value, and α is the correction value. For each parameter, there is a corresponding correction range.

For example, the work order includes three demand parameter values (communication delay D, timing accuracy T, and transmission bandwidth B). For the communication delay D, determine whether the communication delay D in the work order is within the target second power grid service. If it is within the correction range of the communication delay D1 of the corresponding network slice, that is, D∈(D1, α _D D1), the communication delay D in the work order is taken as the target parameter value. Similarly, for timing accuracy T and transmission bandwidth B, the judgment method is also the same.

(3) Compare the demand parameter value with the parameter value in the business model of the target first power grid business, if the parameter value in the business model of the target first power grid business is not lower than the demand parameter value, set the The parameter value in the business model of the target first power grid business is used as the target parameter value; if the parameter value in the business model of the target first power grid business is lower than the demand parameter value, the demand parameter value As the target parameter value, enter (4);

(4) Generate a parameter value set using all the obtained target parameter values, and send it to the slice management module.

The calculation method of the correction value of each parameter of the existing network slice will be described below.

For each existing network slice, periodically obtain the parameter values of the existing network slice;

According to the obtained parameter value and design parameter value of the existing network slice, the correction value of each parameter of the existing network slice is calculated, and the correction value is calculated by the following formula:

Wherein, α is the correction value, X _n is the parameter value collected, H _n is the collection time parameter of the parameter, X is the design parameter value, and n is the parameter of the collection times of the parameter.

For example, the system variables are regularly maintained every hour in the following manner (here, three parameters of communication delay D, timing accuracy T, and transmission bandwidth B are used as examples, and the same is true for other parameters):

(1) For each existing network slice, preset parameter correction values αD, αt, αb, and the initial values of the three parameters are all 1;

(2) Preset network slice life cycle H (system default value);

(3) The system collects and obtains the parameter values Dn, Tn, Bn corresponding to each network slice from CSMF and NSMF every hour, and the design parameter values of the network slice 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 -1 after each acquisition.

(5) Calculate the correction value by the following formula (taking the communication delay D as an example):

When data is collected every hour, each actual network slice is maintained, and data is updated every hour.

4. Slice management module

This module interacts with CSMF and NSMF to complete the following functions:

(1) Send the target parameter values generated by the intelligent analysis module to the CSMF through the unified protocol interface to complete the network slice ordering.

(2) Regularly obtain the parameter values of network slices, such as the number of accesses, communication delay, actual bandwidth used, etc., and feed them back to the intelligent analysis module for analysis.

(3) Issue instructions for adding, editing and/or deleting network slices to which a single or multiple SIM cards belong.

5. Card information module

This module is responsible for the management of the IoT card in this system, including the management of the corresponding slice, card number, traffic and other information of the card.

6. Card ordering module

This module is responsible for interacting with the card operation center to realize the transfer of card information, including card activation, card package ordering, and/or card slice binding, etc.

7. Member management module

After the slice management module completes the network slice ordering of the work order, the member management module issues the card ordering requirements to the card ordering module according to the work order requirements, and binds the ordered cards to the slices after receiving the card ordering success message.

Also, the membership of cards and slices is maintained here:

(1) The card switches from one network slice to another network slice, and the member management module executes the operation, issues instructions to the slice management module, and the slice management module sends the instruction to the CSMF interface.

(2) When the card is deleted from the network slice, the member management module sends an instruction to the card ordering module and the card information module to delete the card.

The following takes the ordering of a network slice of a power grid service as an example, combined with Figure 4, to illustrate the operation process of the system:

Step 1, the power grid personnel submit the demand in the system, and the demand includes the demand parameter value specified by the system, as well as the required number of IoT cards and other information. The IoT card information is sent to the card information module for preprocessing.

Step 2: After the requirement review is passed, the requirement generation work order is sent to the intelligent analysis module.

Step 3, after the intelligent analysis module receives the work order, and the existing network slice and business model modules, obtain the target parameter value according to the analysis algorithm.

Step 4, the slice management module receives the work order and its corresponding target parameter value, sends the target parameter value to the CSMF, and obtains the final slice order result.

Step 5, the slice management module notifies the card information module that the network slice has been ordered, and the card ordering phase is started.

Step 6, the card information module will send the requirements to the card ordering module (also referred to as the IoT card ordering module) according to the requirement information of the work order to complete the card ordering process. At the same time, the card ordering module updates the card information in real time, which is used for the management of the card information module.

Step 7, the card ordering module sends the card information to the member management module.

Step 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, including a processor 51, a memory 52, and a computer program stored in the memory 52 and running on the processor 51, the computer program being executed by the processor When 51 is executed, each process of the above-mentioned embodiment of the method for managing network slices of the smart grid can be realized, and the same technical effect can be achieved. To avoid repetition, details are not repeated here.

An 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, each process of the above-mentioned embodiment of the network slice management method for a smart grid is implemented, And can achieve the same technical effect, in order to avoid repetition, it is not repeated here. The computer-readable storage medium is, for example, a read-only memory (Read-Only Memory, ROM), a random access memory (Random Access Memory, RAM), a magnetic disk or an optical disk, and the like.

It should be noted that, herein, the terms "comprising", "comprising" or any other variation thereof are intended to encompass non-exclusive inclusion, such that a process, method, article or device comprising a series of elements includes not only those elements, It also includes other elements not expressly listed or inherent to such a process, method, article or apparatus. Without further limitation, an element qualified by the phrase "comprising a..." does not preclude the presence of additional identical elements in a process, method, article or apparatus that includes the element.

From the description of the above embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus a necessary general hardware platform, and of course hardware can also be used, but in many cases the former is better implementation. Based on this understanding, the technical solutions of the present invention can be embodied in the form of software products in essence or the parts that make contributions to the prior art, and the computer software products are stored in a storage medium (such as ROM/RAM, magnetic disk, CD), including several instructions to make a terminal (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) execute the methods described in the various embodiments of the present invention.

The embodiments of the present invention have been described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific embodiments, which are merely illustrative rather than restrictive. Under the inspiration of the present invention, without departing from the spirit of the present invention and the scope protected by the claims, many forms can be made, which all belong to the protection of the present invention.

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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