A data management method, system and storage medium based on network slicing

Abstract

The present invention discloses a data management method, system and storage medium based on network slicing. A data management method based on network slicing includes the following steps: 1. Acquire the configuration information of the network slice; 2. Identify the target instructions in the configuration information and complete the specified operation; 3. Collect and analyze the operating data information of the network slice to form a management data packet. A data management system based on network slicing includes a memory and a processor. The memory includes a data management method program based on network slicing, and the processor is used to execute the data management method program. A storage medium includes a data management method program based on network slicing. The present invention matches power-dedicated network services of different security and reliability by setting a specific frequency band identification method, thereby achieving exclusive use of corresponding spectrum resources by specific services, avoiding the reuse of frequency band resources with other services, and ensuring the real-time and security of the services.

Description

Technical Field

[0001] The present invention relates to the field of data management technology, and in particular to a data management method, system and storage medium based on network slicing. Background Art

[0002] In recent years, many domestic power grid companies have insisted on being customer-centric, with improving power supply reliability as the main line, strengthening standardized construction, lean operation and maintenance, and intelligent management and control. They have improved intelligent perception capabilities, data fusion capabilities and intelligent decision-making levels through Internet technology, and have made every effort to build a first-class modern distribution network that is highly reliable, interactive, friendly, and economical and efficient.

[0003] Improvements have been made to networked base stations, devices, and the network itself. Considering the future development of power services aligns with the development trends of 5G technology, the future power grid will feature the coexistence of IoT services with low traffic and large connections, as well as broadband services and low-latency, high-reliability services. In response to 5G's three key capabilities of large bandwidth, low latency, high reliability, and large connections, State Grid is actively promoting the research and implementation of 5G technology applications in areas such as inspection, distribution network status monitoring, big data collection, precise load control, and distribution automation. With the proliferation of service types and the increasing complexity of service security, higher requirements are being placed on base stations and networks to meet the ever-expanding scope of services. Improving the power network's ability to transmit diverse services is becoming a research priority.

[0004] The "Network Slice Information Management Method, Manager, Device and Medium" disclosed in the Chinese patent literature has the publication number CN110740477A. ​​The embodiment of the present invention provides a network slice information management method, manager, device and medium, the method comprising: receiving information of a network slice NS, the NS information is information generated when the NS is created; saving the NS information in a unified data manager UDM; if a request is received to query the NS contracted by a user, obtaining information of a first NS from the UDM, the first NS is the NS contracted with the user; and sending the information of the first NS obtained from the UDM. The method provided by the embodiment of the present invention can save the NS information in the UDM, and the user device can obtain the NS information from the UDM, so that the user can select a NS that meets his or her needs based on the NS information, thereby meeting the user's need to independently select the NS. However, the functions that can be achieved by this invention are relatively single and cannot meet other needs of the user. Summary of the Invention

[0005] In order to solve the problem in the prior art that data management based on network slicing cannot meet the needs, the present invention provides a data management method, system and storage medium based on network slicing. By setting a specific frequency band identification method to match power-specific network services with different security and reliability, the exclusive use of corresponding spectrum resources by specific services is achieved, avoiding the reuse of frequency band resources with other services, and ensuring the real-time and security of the services.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: a data management method based on network slicing, comprising the following steps:

[0007] S1, obtain the configuration information of the network slice;

[0008] S2, identifying the target instructions in the configuration information and completing the specified operation;

[0009] S3, collects and analyzes the operation data information of the network slice to form a management data packet.

[0010] In the present invention, network slicing includes frequency band-based network slicing, service-based network slicing, and VLAN-based network slicing. The configuration information of different network slices is obtained to identify the target instructions in a targeted manner and then complete the specified operation. The operation data of the devices in the different network slices are collected, and management data packets are formed by collecting and analyzing the data of the devices in the slices. The data packets are periodically uploaded to the back-end slice management server according to the configured collection cycle, providing sufficient and complete operation data to the back-end network management personnel so that the back-end network management personnel can formulate appropriate operation strategies according to the operation status of the slices.

[0011] Preferably, step S1 includes the following steps:

[0012] S11, obtaining a service security level characteristic value and a service type characteristic value of the network slice;

[0013] S12, dividing the communication channel based on the service security level characteristic value to obtain the target frequency band of the network slice;

[0014] S13, dividing the services based on the service type characteristic values ​​to obtain service slices of the network slice.

[0015] In the present invention, the network slice based on the business has different divisions of business areas, that is, the resource size required for different business scenarios is also different. The business security level characteristic value is used to indicate the security level of this business, and then different network communication frequency bands are allocated according to different security levels to ensure information security. The business type characteristic value is used to indicate the type of this business, and then different network base stations are allocated for sending and transmitting according to different business types, so as to achieve order and order.

[0016] Preferably, the step S12 includes the following steps:

[0017] S121, obtaining a service security level characteristic value;

[0018] S122, inputting the service security level characteristic value into the trained frequency band neural network model to obtain a target simulation result;

[0019] S123, calculating the absolute value of the target simulation result and comparing it with a preset threshold; when the absolute value is greater than the preset threshold, determining that the target frequency band is a shared frequency band; when the absolute value is less than or equal to the preset threshold, determining that the target frequency band is a fine-control frequency band.

[0020] In the present invention, the target simulation result is obtained by training the characteristic value of each service security level through the trained frequency band neural network model to determine whether the frequency band required by the service is a shared frequency band with poor privacy or a precisely controlled frequency band with high confidentiality, thereby ensuring the security of the service.

[0021] Preferably, the step S13 includes the following steps:

[0022] S131, identifying the service type characteristic value;

[0023] S132, determine the threshold range of the service type characteristic value, wherein when the service type characteristic value is within the first threshold range, determine that the service slice is the first service slice; when the service type characteristic value is within the second threshold range, determine that the service slice is the second service slice.

[0024] In the present invention, the business includes multiple fields, and the first business slice includes power control and load control information. When the business type characteristic value is identified to be within the first threshold range, it means that the business includes power control and load control information, and it is judged as the first business slice to be sent through the corresponding network base station; when the business type characteristic value is identified to be within the second threshold range, it means that the business includes mobile applications and video surveillance information, and it is judged as the second business slice to be sent through the corresponding network base station; with the continuous development of the business, it is necessary to continuously expand the number of business slices to meet different business types.

[0025] Preferably, the step S1 further includes dividing the preset local area network, and the specific steps are:

[0026] D1, identifying the target factor of the preset local area network in the configuration information;

[0027] D2, dividing the ports of the preset LAN according to the port target factor;

[0028] D3, dividing the network layer of the preset local area network according to the network layer target factor.

[0029] In this invention, the division of the preset local area network is referred to as network segmentation using VLANs. VLAN, a virtual local area network, is a communication technology that logically divides a physical LAN into multiple broadcast domains. By dividing into different VLANs, hosts within a VLAN can communicate directly, while hosts between VLANs cannot communicate directly with each other, thereby confining broadcast messages to a single VLAN. VLAN division helps control traffic, reduce equipment investment, simplify network management, and improve network security.

[0030] Preferably, step S3 includes the following steps:

[0031] S31, obtaining the collection period of the network slice configuration;

[0032] S32, identifying the state opening and closing instruction information, wherein, when the opening and closing instruction is closed, stopping data collection;

[0033] When the opening and closing instruction is start, the operation data is collected and written into the performance measurement file to obtain a management data packet.

[0034] In the present invention, it is first necessary to obtain the collection cycle to clarify the length of the collected data. After the start instruction is recognized, the operating data in the network is collected and stored in a performance measurement file. The file is uploaded to the back-end management station in the form of a file and managed by the corresponding management personnel. When the shutdown instruction is recognized, the data collection is stopped to reduce losses and avoid unnecessary expenses.

[0035] A data management system based on network slicing, suitable for the above-mentioned data management method based on network slicing, that is, an electrolytic cell, including a memory and a processor, the memory including a data management method program based on network slicing, and the processor being used to execute the data management method program.

[0036] In the present invention, the storage in the system is used to store program codes, and the processor is used to execute the program, thereby ensuring the implementation of the method of the present invention.

[0037] A storage medium, suitable for the above-mentioned network slicing-based data management method, including a network slicing-based data management method program, wherein the network slicing-based data management method program is executed by a processor to implement the network slicing-based data management method of the present invention.

[0038] The present invention provides a computer-readable storage medium, in which a data management method program based on network slicing is provided.

[0039] The beneficial effects of the present invention are:

[0040] 1. By setting a specific frequency band identification method to match power-specific network services with different security and reliability, the specific service can be exclusively used for the corresponding spectrum resources, avoiding the reuse of frequency band resources with other services, and ensuring the real-time and security of the service; 2. By identifying the service type, the corresponding base station is selected, and different resource size allocations are provided according to the business characteristics of different services, providing differentiated services such as reliability and latency. While ensuring business performance, base station resources are also fully utilized; 3. At the same time, the network circulation data is periodically collected and uploaded to the back-end management server for real-time management by the corresponding management personnel, enhancing data query capabilities. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 This is a flow chart of a data management method based on network slicing according to the present invention;

[0042] Figure 2 This is a structural diagram of a data management system based on network slicing in the present invention. DETAILED DESCRIPTION

[0043] Overall embodiment:

[0044] This embodiment proposes a data management method based on network slicing, which mainly includes step 1: first obtaining the configuration information of the network slice; step 2: then identifying the target instructions in the configuration information and completing the specified operation; step 3: finally collecting and analyzing the operating data information of the network slice to form a management data packet. In this embodiment, the network slices include frequency band-based network slices, service-based network slices, and VLAN-based network slices. The configuration information of different network slices is obtained to specifically identify the target instructions and then complete the specified operation. The operating data of devices in different network slices is collected and analyzed to form a management data packet. The data is then periodically uploaded to the backend slice management server according to the configured collection cycle, providing sufficient and complete operating data to the backend network management personnel, allowing them to formulate appropriate operating strategies based on the operating status of the slice.

[0045] In addition, slice management includes slice configuration, slice modification and slice deletion. Among them, slice configuration is based on the slice configuration information issued by the back-end slice server, based on the hardware network port, frequency band, service type and VLAN slice configuration function to complete the information configuration of the local slice of the access network; slice modification means that the access network supports the modification of slice information. After the slice information update is completed, the access network will manage and allocate resources according to the new slice information to modify the old slice information; slice deletion means that the access network supports the deletion of slice information. For the deleted slice information, the access network no longer supports the resource management of the slice, so that there is no residual information to save storage space.

[0046] Step 1 is mainly divided into three steps: including step 11, respectively obtaining the service type characteristic value and the service security level characteristic value of the network slice; step 12: dividing the communication channel according to the service security level characteristic value, thereby obtaining the target frequency band of the network slice; step 13: dividing the service according to the service type characteristic value to obtain the service slice of the network slice; in this embodiment, based on the network slice, the division of its business field is also different, that is, for different business scenarios, the size of resources required is also different, the service security level characteristic value is used to indicate the security level of this business, and then different network communication frequency bands are allocated according to different security levels to ensure information security, the service type characteristic value is used to indicate the type of this business, and then different network base stations are allocated for sending and transmitting according to different service types, so as to be orderly and well-organized.

[0047] Among them, step 12 is specifically as follows: first obtain the service security level characteristic value, then train the frequency band neural network model, import the service security level characteristic value into the model, and finally obtain the simulation result and take the absolute value, compare and judge. If the absolute value is greater than the preset threshold, then the target frequency band is a shared frequency band, otherwise, the target frequency band is a precision control judgment; train each service security level characteristic value through the trained frequency band neural network model to obtain the target simulation result to determine whether the frequency band required for the service is a shared frequency band with poor privacy or a precision control frequency band with high confidentiality. Among them, the discriminant for determining the frequency band attribution is as follows: Among them, the shared frequency band is:

[0048] Result = {F_band Shared |A_Value>Value pre}

[0049] The precise control frequency bands are:

[0050] Result={F_band privated |A_Value≤Value pre}

[0051] In the above two formulas, F_bandShared is the shared frequency band, F_band privated is the precise control frequency band, A_Value is the absolute value of the target simulation result, Value pre is the preset threshold.

[0052] In addition, the frequency band neural network model requires a large amount of historical data for training. The larger the amount of data, the more accurate the results. The frequency band neural network model in the present invention can be trained using the service security level characteristic values ​​of historical service security levels as input. Of course, when training the neural network model, it is necessary not only to train using the service security level characteristic values, but also to train in combination with the type of service itself. Training with a large amount of historical data will also result in more accurate results. Combined with the type information of each service itself, the output results of the frequency band neural network can be made more accurate.

[0053] Step 13 specifically includes: first identifying a service type characteristic value, and then distinguishing and judging the threshold range of the service type characteristic value. Specifically, if the service type characteristic value is within the first threshold range, the service slice is the first slice; if the service type characteristic value is within the second threshold range, the service slice is the second slice; the service includes multiple fields, and the first service slice includes power control and load control information. When the service type characteristic value is identified as being within the first threshold range, it means that the service includes power control and load control information, and it is determined to be the first service slice and sent through the corresponding network base station. For example, assuming that the first threshold range is [1-10], when the service type characteristic value is "5", it is within the first threshold range, and the service slice is divided into the first service slice; when the service type characteristic value is identified as being within the second threshold range, it means that the service includes mobile applications and video surveillance information, and it is determined to be the second service slice and sent through the corresponding network base station. For example, assuming that the first threshold range is [11-50], when the service type characteristic value is "35", it is within the second threshold range, and the service slice is divided into the second service slice.

[0054] Step 1 also includes: first, identifying a target factor, which is located within the preset local area network (LAN) in the configuration information; second, dividing the ports of the preset LAN according to the port target factor; and finally, dividing the network layer of the preset LAN according to the network layer target factor. The division of the preset LAN is equivalent to network segmentation into VLANs. VLAN (Virtual Local Area Network) is a communication technology that logically divides a physical LAN into multiple broadcast domains. By dividing into different VLANs, hosts within a VLAN can communicate directly, while hosts between VLANs cannot communicate directly with each other, thereby limiting broadcast messages to a single VLAN. VLAN division helps control traffic, reduce equipment investment, simplify network management, and improve network security. Furthermore, the present invention can provide different VLAN configurations for different network segments. The following VLAN divisions can be supported for different network segments: first, port-based VLAN division: VLAN division based on the port target factor defines certain ports of a base station as a VLAN to connect to ports of other base stations for local area communication. Second, VLAN division based on the network layer: VLAN division based on the network layer target factor, rather than routing, is based on the network layer address or protocol type of each device host.

[0055] Step 3 includes the following two sub-steps: Step 31, first obtain the sampling period of the network slice configuration; Step S32, then identify the status opening and closing instruction information. Specifically, when the opening and closing instruction is closed, data collection is stopped. When the instruction is turned on, data collection is performed and then written into the performance measurement file to finally obtain the management data packet; during network operation, data in the network can be collected to manage data, including collection, storage, accumulation, real-time query and upload operations. Specifically, it is necessary to first obtain the collection period to clarify the duration of the collected data. After the start instruction is identified, the operation data in the network is collected and stored in the performance measurement file, which is uploaded to the back-end management station in the form of a file and managed by the corresponding management personnel. When the closing instruction is identified, data collection is stopped to reduce losses and avoid unnecessary expenses.

[0056] The present invention also proposes a data management system based on network slicing, which is primarily composed of a memory and a processor. A program for managing network slicing data is stored in the memory, and a processor is required to execute the program. The present invention also proposes a storage medium containing the program for managing network slicing data.

[0057] The above embodiments are further elaborations and illustrations of the present invention for ease of understanding, and are not intended to limit the present invention in any way. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A data management method based on network slicing, characterized in that: The following steps are involved: S1, obtain the configuration information of the network slice; The method comprises: S11, obtaining a service security level characteristic value and a service type characteristic value of a network slice; S12, dividing a communication channel based on the service security level characteristic value to obtain a target frequency band of the network slice; S12 comprises: S121, obtaining a service security level characteristic value; S122, inputting the service security level characteristic value into a trained frequency band neural network model to obtain a target simulation result; S123, calculating an absolute value of the target simulation result and comparing it with a preset threshold; when the absolute value is greater than the preset threshold, determining that the target frequency band is a shared frequency band; when the absolute value is less than or equal to the preset threshold, determining that the target frequency band is a precision control frequency band; S13, dividing the service based on the service type characteristic value to obtain service slices of the network slice; S2, identifying the target instructions in the configuration information and completing the specified operation; S3, collects and analyzes the operation data information of the network slice to form a management data packet.

2. A data management method based on network slicing according to claim 1, characterized in that: The step S13 includes the following steps: S131, identifying the service type characteristic value; S132, determining a threshold range of a service type characteristic value.

3. The data management method based on network slicing according to claim 1, characterized in that: The step S1 also includes dividing the preset local area network, and the specific steps are: D1, identifying the target factor of the preset local area network in the configuration information; D2, dividing the ports of the preset LAN according to the port target factor; D3, dividing the network layer of the preset local area network according to the network layer target factor.

4. The data management method based on network slicing according to claim 1, characterized in that: The step S3 comprises the following steps: S31, obtaining the collection period of the network slice configuration; S32, identifying the state opening and closing instruction information, wherein, when the opening and closing instruction is closed, stopping data collection; When the opening and closing instruction is start, the operation data is collected and written into the performance measurement file to obtain a management data packet.

5. The data management method based on network slicing according to claim 2, characterized in that: Step S132 includes: when the service type characteristic value is within a first threshold range, determining that the service slice is a first service slice; when the service type characteristic value is within a second threshold range, determining that the service slice is a second service slice.

6. A data management system based on network slicing, characterized in that: It includes a memory and a processor, wherein the memory stores a data management method program based on network slicing, and the processor is used to execute the data management method program to implement the data management method based on network slicing as described in any one of claims 1-5.

7. A storage medium, characterized in that: A network slicing-based data management method program is stored, and the network slicing-based data management method program is executed by a processor to implement the network slicing-based data management method described in any one of claims 1-5.

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