A method and apparatus for implementing an automatic assembly topology

Abstract

The application relates to the technical field of Internet of Things, and particularly provides a method and device for realizing automatic assembly topology, a DPI quality analysis module realizes accurate connection of information and complete relationship; an APN user number analysis module respectively acquires all signaling footprints in a time range of a user number from different signaling interfaces; a service user associated base station module drills the relationship of an Internet of Things path topology by taking a card as an entrance, and identifies the initial attachment of signaling from a physical topology of a rough pipeline; a base station to a transmission core network module finds corresponding base stations according to CellID, and analyzes through SRT tunnel routing; a signaling routing network element module identifies core VNFs of control services in a time dimension through a user plane and a signaling plane, and sequentially connects links. Compared with the prior art, the application can promote the sustainable development of Internet of Things services, and has important significance for realizing accurate operation and maintenance of customers.

Description

Technical Field

[0001] This invention relates to the field of Internet of Things (IoT) technology, specifically providing a method and apparatus for automatically assembling topologies. Background Technology

[0002] Current IoT topology monitoring methods fail to provide detailed operational analysis capabilities by presenting the physical network topology. Lacking the ability to identify IoT SIM card signaling flow, they can only perform network monitoring and cannot provide in-depth understanding of the specific data flow at the card (customer) level. This may lead to difficulties in accurately grasping customers' actual usage behavior and demand patterns.

[0003] Without accurately locating the signaling flow of a specific card, it's difficult to conduct precise analysis and responses to the unique circumstances of individual customers, making it impossible to provide personalized and refined services and solutions. Troubleshooting and performance optimization are also affected, as it becomes impossible to quickly and accurately determine whether a problem is related to the signaling flow of a specific card, thus delaying problem resolution and reducing service quality and customer satisfaction.

[0004] At the same time, it also hinders the more scientific and precise adjustment of resource allocation and planning for the entire IoT system, limiting the full realization of system efficiency. Therefore, the ability to automatically assemble IoT topologies through IoT SIM card signaling flow analysis is of great significance for achieving precise operation and maintenance for customers. Summary of the Invention

[0005] This invention addresses the shortcomings of the prior art by providing a highly practical method for automatically assembling topologies.

[0006] A further technical objective of this invention is to provide a reasonably designed, safe, and applicable device for automatically assembling topologies.

[0007] The technical solution adopted by this invention to solve its technical problem is:

[0008] A method for achieving automatic topology assembly firstly involves a DPI quality analysis module that uses time and service conditions to filter signaling data quality as the basis for analysis, thereby ensuring accurate information connection and complete relationships.

[0009] The APN user number analysis module obtains all signaling footprints of user numbers within the time range from different signaling interfaces;

[0010] The business user associated base station module uses the card as the entry point to drill down the IoT path topology and identify the initial attachment of signaling from the physical topology of the coarse pipeline.

[0011] In the transmission core network module, the cell finds the corresponding base station based on the CellID and performs SRT tunnel routing analysis.

[0012] The signaling routing network element module identifies the core VNFs of control services within the time dimension through user plane and signaling plane analysis, and connects the links step by step.

[0013] Furthermore, in 4G services, the APN user number analysis module analyzes 4G S1-U interface HTTP data and obtains the corresponding user's MSISDN number by time and APN dimensions.

[0014] Furthermore, in 5G services, the APN user number analysis module analyzes the DPI data of the 5G N3 port HTTP / HTTPS, tracks the N3 port, and obtains the corresponding user MSISDN by time and APN dimensions.

[0015] Furthermore, in 4G services, the service user associated base station module analyzes the number of 4G S1-U interface HTTP services, and analyzes the eNodeB and CellID on the user's corresponding time axis based on APN, user number, and associated analysis time. It then associates these with the integrated resource management system to obtain the relevant resource attributes of the base station and cell.

[0016] In 5G services, by analyzing the 5G N3 interface DPI data HTTP / HTTPS, analyzing the user's corresponding gNodeB and CellID on the time axis, and associating with the integrated resource management system, the relevant resource attributes of the base station and cell can be obtained.

[0017] Furthermore, in the base station to transmission core network module, the cell finds the corresponding base station based on CellID, retrieves the corresponding transmission equipment UPE at the Z end of the base station associated circuit based on the service equipment at the Z end, finds the peer SPE based on SR tunnel analysis, and then continues to analyze NPE.

[0018] By analyzing the SRT tunnel routing analysis, the connection relationship between the NPE and the core PTN can be found by analyzing the AZ end devices.

[0019] Furthermore, in the base station-UPF, the signaling routing network element module analyzes the 4 / 5G user plane signaling through the UPF device according to the dimensions of APN and user number based on UPF_IP and base station IP.

[0020] In UPF-AMF, 4 / 5G control plane signaling is analyzed based on UPF_IP and AMF_IP according to the dimensions of APN and user number, focusing on the link between UPF and AMF devices.

[0021] Furthermore, in the AMF-UDM, the signaling routing network element module analyzes the AMF-to-UDM device link based on AMF_IP and UDM_IP according to the dimensions of APN and user number for 4 / 5G control plane signaling.

[0022] In AMF-SMF, 4 / 5G control plane signaling is analyzed based on AMF_IP and SMF_IP according to the dimensions of APN and user number, focusing on the link from AMF device to SMF device.

[0023] Furthermore, in the SMF-PCF, the signaling routing network element module analyzes the link from the SMF device to the PCF device based on the SMF_IP and PCF_IP, according to the dimensions of APN and user number, for 4 / 5G control plane signaling.

[0024] In SMF-UD, 4 / 5G control plane signaling is analyzed based on SMF_IP and UDM_IP according to the dimensions of APN and user number, focusing on the link between SMF device and UDM device.

[0025] Furthermore, in the TCP analysis of the DPI quality analysis module, the 4 / 5G user plane signaling is summarized and calculated according to the success or failure of the TCP status based on the user number, terminal, and APN dimensions.

[0026] HTTP success rate: 4 / 5G user plane signaling, calculated by summarizing the success of the HTTP request status according to user number, terminal number, and APN.

[0027] User access information: 4 / 5G user plane signaling, analyzed by APN and user number based on server URI and HOST.

[0028] An apparatus for implementing automated topology assembly includes: at least one memory and at least one processor;

[0029] The at least one memory is used to store a machine-readable program;

[0030] The at least one processor is configured to invoke the machine-readable program to execute a method for automatically assembling topologies.

[0031] Compared with the prior art, the method and apparatus for automatically assembling topologies according to the present invention have the following outstanding advantages:

[0032] This invention enables automatic IoT topology assembly through IoT SIM card signaling flow analysis. By identifying data flows, it can promptly detect erroneous bearer network elements passing through abnormal traffic patterns, helping to identify potential link configuration problems and enhancing the robustness and security of the IoT system. The topology assembled from the acquired data can record the customer's routes within a certain time period, facilitating in-depth business path analysis in subsequent operations and maintenance. This provides strong support for operators' business planning, network expansion, and other decisions, promoting the continuous development of IoT services and playing a crucial role in achieving precise operations and maintenance for customers. Attached Figure Description

[0033] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0034] Appendix Figure 1 This is a schematic diagram of module relationships in a method for achieving automatic topology assembly.

[0035] Appendix Figure 2 This is a schematic diagram of the automatic connection process of topology networking in a method for achieving automatic topology assembly. Detailed Implementation

[0036] To enable those skilled in the art to better understand the present invention, the present invention will be further described in detail below with reference to specific embodiments. Obviously, the described embodiments are merely some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0037] The following is a preferred embodiment:

[0038] like Figure 1-2 As shown in this embodiment, a method for automatically assembling topology is implemented by firstly using the DPI quality analysis module to filter the signaling data quality based on time and service conditions as the basis for analysis, thereby achieving accurate information connection and complete relationship.

[0039] The APN user number analysis module obtains all signaling footprints of user numbers within the time range from different signaling interfaces;

[0040] The business user associated base station module uses the card as the entry point to drill down the IoT path topology and identify the initial attachment of signaling from the physical topology of the coarse pipeline.

[0041] In the transmission core network module, the cell finds the corresponding base station based on the CellID and performs SRT tunnel routing analysis.

[0042] The signaling routing network element module identifies the core VNFs of control services within the time dimension through user plane and signaling plane analysis, and connects the links step by step.

[0043] Among them, the APN user number analysis module:

[0044] (1) 4G services: Analyze the 4G S1-U port HTTP data and obtain the corresponding user's MSISDN number by time and APN (deduplication needs to be considered);

[0045] (2) 5G services: Analyze the DPI data of 5G N3 port HTTP / HTTPS, follow up on N3 port, and obtain the corresponding user MSISDN by time and APN dimensions (deduplication needs to be considered);

[0046] Business user associated base station module:

[0047] (1) 4G services: Analyze the number of HTTP services on the 4G S1-U interface, and analyze the eNodeB and CellID on the time axis corresponding to the user based on the APN and user number. Then, associate the analysis with the integrated resource management system to obtain the relevant resource attributes (Chinese characters, manufacturer, etc.) of the base station and cell.

[0048] (2) 5G services: By analyzing the 5G N3 port DPI data HTTP / HTTPS, we can analyze the gNodeB and CellID on the user's corresponding time axis, associate them with the integrated resource management system, and obtain the base station and cell related resource attributes (Chinese characters, manufacturer, etc.).

[0049] Base station to transmission core network module:

[0050] (1) The cell finds the corresponding base station based on CellID, takes the corresponding transmission equipment UPE at the Z end of the base station associated circuit based on the service equipment at the Z end, and finds the peer SPE based on SR tunnel analysis, and then continues to analyze NPE.

[0051] (2) Transmission core network: Through SRT tunnel routing analysis, analyze the AZ end equipment and find the link relationship between NPE and core PTN.

[0052] Signaling routing network element module:

[0053] (1) Base station-UPF: 4 / 5G user plane signaling, analyzed by APN and user number according to UPF_IP and base station IP through UPF equipment;

[0054] (2) UPF-AMF: 4 / 5G control plane signaling, analyzing the UPF to AMF device link based on UPF_IP and AMF_IP according to APN and user number dimensions;

[0055] (3) AMF-UDM: 4 / 5G control plane signaling, analyzing the AMF to UDM device link based on AMF_IP and UDM_IP according to APN and user number dimensions;

[0056] (4) AMF-SMF: 4 / 5G control plane signaling, analyzing the AMF device to SMF device link based on AMF_IP and SMF_IP according to APN and user number dimensions;

[0057] (5) SMF-PCF: 4 / 5G control plane signaling, analyze the link from SMF device to PCF device according to SMF_IP and PCF_IP based on APN and user number dimensions;

[0058] (6) SMF-UDM: 4 / 5G control plane signaling, analyze the link from SMF device to UDM device according to SMF_IP and UDM_IP based on APN and user number dimensions.

[0059] DPI quality analysis module:

[0060] (1) TCP analysis: 4 / 5G user plane signaling, based on information such as whether TCP is successful, summarizing and calculating according to dimensions such as user number, terminal, APN, etc.

[0061] (2) HTTP success rate: 4 / 5G user plane signaling, calculated by summarizing information such as whether the HTTP request status is successful according to user number, terminal, APN and other dimensions;

[0062] (3) User access information: 4 / 5G user plane signaling, analyzed by APN and user number based on server URI and HOST.

[0063] Based on the above method, an apparatus for implementing automatic topology assembly in this embodiment includes: at least one memory and at least one processor;

[0064] The at least one memory is used to store a machine-readable program;

[0065] The at least one processor is configured to invoke the machine-readable program to execute a method for automatically assembling topologies.

[0066] The above-described specific embodiments are merely specific examples of the present invention. The patent protection scope of the present invention includes, but is not limited to, the above-described specific embodiments. Any technical solution that conforms to the claims of the present invention and any appropriate changes or substitutions made by a person skilled in the art should fall within the patent protection scope of the present invention.

[0067] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A method for automatically assembling topologies, characterized in that, Firstly, the DPI quality analysis module uses the quality screening of signaling data based on time and business conditions as the basis for analysis, ensuring accurate information connection and complete relationships. The APN user number analysis module obtains all signaling footprints of user numbers within the time range from different signaling interfaces; The business user associated base station module uses the card as the entry point to drill down the IoT path topology and identify the initial attachment of signaling from the physical topology of the coarse pipeline. In 4G services, analyze the number of HTTP services on the 4G S1-U interface, and based on the APN and user number, analyze the time in relation to the analysis, analyze the eNodeB and CellID on the user's corresponding time axis, and associate with the integrated resource management system to obtain the relevant resource attributes of the base station and cell. In 5G services, by analyzing the 5G N3 interface DPI data HTTP / HTTPS, analyzing the user's corresponding gNodeB and CellID on the time axis, and associating with the integrated resource management system, the relevant resource attributes of the base station and cell can be obtained. In the transmission core network module, the cell finds the corresponding base station based on CellID, retrieves the corresponding transmission equipment UPE based on the service equipment at the Z end of the base station's associated circuit, and finds the peer SPE based on SR tunnel analysis, and then continues to analyze NPE. By analyzing SRT tunnel routing analysis, the AZ end devices are analyzed to find the link relationship between NPE and core PTN; The signaling routing network element module identifies the core VNFs of control services within the time dimension through user plane and signaling plane analysis, and connects the links step by step.

2. The method for automatically assembling topologies according to claim 1, characterized in that, In 4G services, the APN user number analysis module analyzes 4G S1-U interface HTTP data and obtains the corresponding user's MSISDN number by time and APN dimensions.

3. The method for automatically assembling topologies according to claim 2, characterized in that, In 5G services, the APN user number analysis module analyzes the DPI data of the 5G N3 port HTTP / HTTPS, tracks the N3 port, and obtains the corresponding user MSISDN by time and APN dimensions.

4. The method for automatically assembling topologies according to claim 3, characterized in that, In the base station-UPF, the signaling routing network element module analyzes the 4 / 5G user plane signaling through the UPF device according to the dimensions of APN and user number, based on UPF_IP and base station IP. In UPF-AMF, 4 / 5G control plane signaling is analyzed based on UPF_IP and AMF_IP according to the dimensions of APN and user number, focusing on the link between UPF and AMF devices.

5. A method for automatically assembling topologies according to claim 4, characterized in that, In the AMF-UDM, the signaling routing network element module analyzes the AMF-to-UDM device link based on AMF_IP and UDM_IP, according to the dimensions of APN and user number, for 4 / 5G control plane signaling. In AMF-SMF, 4 / 5G control plane signaling is analyzed based on AMF_IP and SMF_IP according to the dimensions of APN and user number, focusing on the link from AMF device to SMF device.

6. The method for automatically assembling topologies according to claim 5, characterized in that, In the SMF-PCF, the signaling routing network element module analyzes the link from SMF device to PCF device based on SMF_IP and PCF_IP, according to the dimensions of APN and user number, for 4 / 5G control plane signaling. In SMF-UD, 4 / 5G control plane signaling is analyzed based on SMF_IP and UDM_IP according to the dimensions of APN and user number, focusing on the link between SMF device and UDM device.

7. A method for automatically assembling topologies according to claim 6, characterized in that, In the TCP analysis of the DPI quality analysis module, the 4 / 5G user plane signaling is summarized and calculated according to the user number, terminal and APN dimensions based on whether the TCP status is successful. HTTP success rate: 4 / 5G user plane signaling, calculated by summarizing the success of HTTP request status according to user number, terminal and APN dimensions; User access information: 4 / 5G user plane signaling, analyzed by APN and user number based on server URI and HOST.

8. An apparatus for realizing automatic topology assembly, characterized in that, include: At least one memory and at least one processor; The at least one memory is used to store a machine-readable program; The at least one processor is configured to invoke the machine-readable program to perform the method according to any one of claims 1 to 7.

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