Automatic operation and intelligent management system of STN equipment

Abstract

The invention discloses an automatic operation and intelligent management system for STN equipment, and the system comprises an obtaining module which is used for obtaining the network configuration information of the STN equipment; the generation module is used for generating a communication network of the STN equipment by utilizing a network communication model according to the network configuration information; the acquisition module is used for acquiring network state data of a communication network of the STN equipment; the first determination module is used for determining a network connection state and a network operation state of the STN equipment according to the network state data; and the operation, maintenance and management module is used for performing automatic operation, maintenance and intelligent management according to the network connection state and the network operation state. The network state is accurately monitored, automatic operation and maintenance and intelligent management are carried out according to the network state, the problem that STN network resources are difficult to manage is solved, and the network resource utilization rate and the overall performance are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of STN equipment, and in particular to an automated operation and maintenance and intelligent management system for STN equipment. Background Art

[0002] STN (Smart Transport Network) is China Telecom's bearer technology for mobile backhaul, fixed-line access, and other purposes in the 5G era. The multiple networks left over from the 3G / 4G era are expensive to build, interconnect, and operate and maintain. In addition, legacy network technologies are unlikely to meet the SLA requirements of the 5G era, such as the rapid increase in service rates. New operation and maintenance management solutions are needed to adapt to the STN network. The STN network architecture includes a control plane, a data plane, and a management plane, involving multiple key technologies such as path calculation and network status information collection. Its protocols are diverse and its architecture is complex. Traditional operation and maintenance methods have problems such as cumbersome manual operations, difficult fault location, discrete data that cannot be centrally managed, and the inability to accurately monitor network status. These problems make it difficult to meet the operation and maintenance needs of STN equipment, and an automated and intelligent operation and maintenance management system is urgently needed. Summary of the Invention

[0003] The present invention aims to solve at least one of the technical problems in the above-mentioned technologies to a certain extent. To this end, the present invention aims to provide an automated operation and maintenance and intelligent management system for STN equipment, which accurately monitors the network status, performs automated operation and maintenance and intelligent management based on the network status, solves the problem of difficult STN network resource management, and improves network resource utilization and overall performance.

[0004] The embodiment of the present invention provides an automated operation and maintenance and intelligent management system for STN equipment, including:

[0005] The acquisition module is used to obtain the network configuration information of the STN device;

[0006] A generation module is used to generate a communication network of the STN device using a network communication model according to the network configuration information;

[0007] An acquisition module is used to acquire network status data of the communication network of the STN device;

[0008] A first determining module is used to determine the network connection state and network operation state of the STN device according to the network state data;

[0009] The operation and maintenance and management module is used to perform automated operation and maintenance and intelligent management based on the network connection status and network operation status.

[0010] According to some embodiments of the present invention, the acquisition module includes:

[0011] A basic network parameter acquisition module is used to obtain basic network parameters; the basic network parameters include interface configuration, IP address planning and routing protocol configuration;

[0012] A service layer configuration parameter acquisition module is used to obtain service layer configuration parameters; the service layer configuration parameters include VPN services, clock synchronization and protection mechanisms;

[0013] The control parameter acquisition module is used to obtain control parameters; the control parameters include OpenFlow flow table, PCEP path calculation and NetConf / YANG model.

[0014] According to some embodiments of the present invention, a generating module includes:

[0015] The first construction module is used to read the interface configuration of the STN device and the connection relationship included in the IP address planning, add edges according to the connection relationship, set link attributes, and build a physical topology connection; generate a routing table according to the physical topology connection and routing protocol configuration, and build a control plane;

[0016] A second construction module is used to construct an overlay network according to the service layer configuration parameters;

[0017] The third building block is used to integrate SDN control based on OpenFlow flow tables and PCEP path calculation, configure the NetConf agent for each STN device, load the YANG model, configure and monitor through the NETCONF protocol, and obtain the configuration results;

[0018] The fourth construction module is used to use a layered directed graph model to construct a communication network based on the control plane, overlay network and configuration results; the node attributes of the communication network include an interface list, a routing table, and an OpenFlow flow table; the edge attributes of the communication network include a link type and a QoS policy.

[0019] According to some embodiments of the present invention, the second building block includes:

[0020] A first creation module is used to create a virtual forwarding instance for each VPN instance based on the VPN service, associate the interface, and obtain an association result;

[0021] The second creation module is used to build a clock synchronization tree, determine the relationship between the master clock node and the slave node, and obtain the relationship result;

[0022] An adding module is used to add a protection group to a link / node based on a protection mechanism and obtain an adding result;

[0023] Construct an overlay network based on the association results, relationship results, and addition results.

[0024] According to some embodiments of the present invention, the first determining module includes:

[0025] A first calculation module is used to calculate the network connection strength of the STN device according to the network status data as the network connection status;

[0026] The second calculation module is used to calculate the network operation abnormality rate of the STN device according to the network status data as the network operation status.

[0027] According to some embodiments of the present invention, the first calculation module calculates the network connection strength of the STN device based on the network status data, including:

[0028] Calculate the path loss between the router and the transmission terminal;

[0029]

[0030] Among them, L d is the path loss between the router and the transmission terminal; d is the transmission distance between the router and the transmission terminal; G t is the router antenna gain; G r is the transmission terminal antenna gain; λ is the signal wavelength; α is the environmental attenuation coefficient, which is 2; X σ is the obstacle occlusion compensation coefficient;

[0031] Calculate the network connection strength of STN equipment based on the path loss between the router and the transmission terminal;

[0032] R d =P t -L d +F MIMO

[0033] Among them, R d is the network connection strength of the STN device, that is, the signal receiving strength at the transmission terminal distance d; P t F is the router's transmit power; MIMO is the multi-antenna system gain.

[0034] According to some embodiments of the present invention, the second calculation module calculates the network operation abnormality rate of the STN device based on the network status data, including:

[0035] Analyze network status data, identify all network events, identify anomalies in network events, and filter out abnormal events;

[0036] Calculate the abnormal duration dispersion coefficient based on abnormal events;

[0037]

[0038] Among them, S is the dispersion coefficient of abnormal duration; M is the number of abnormal events screened; is the average duration of abnormal events; A i is the duration of the i-th abnormal event;

[0039] Calculate the network operation abnormality rate of STN equipment based on the abnormality duration dispersion coefficient;

[0040]

[0041] Where K is the network operation anomaly rate of STN equipment; F is the average anomaly confirmation delay; T is the total observation time; T i is the network traffic fluctuation rate of the i-th abnormal event.

[0042] According to some embodiments of the present invention, the operation and management module includes:

[0043] According to the network connection status and network operation status, the preset data table is searched to determine the current network service information;

[0044] Obtain preset network business demand information;

[0045] Compare network business information with preset network business demand information, and perform automated operation and maintenance and intelligent management based on the comparison results.

[0046] According to some embodiments of the present invention, the further comprising:

[0047] A second determination module is configured to receive a natural language instruction input by a user, identify the natural language instruction, and determine the user's adjustment requirements;

[0048] The third determination module is used to determine the network configuration commands of the STN equipment through mapping tables and template technology according to user adjustment requirements, and perform configuration verification and conflict monitoring; after verification and monitoring are passed, the network configuration commands are executed based on the operation and management module.

[0049] According to some embodiments of the present invention, the present invention further includes an alarm module configured to:

[0050] Compare the network connection status and network operation status of the STN equipment with the alarm threshold, and determine the alarm information based on the comparison result;

[0051] Configure the master-slave and derivative association relationships of alarm information, configure the association parameters, determine the business alarms corresponding to network alarms, and perform visualization to perform alarm operations.

[0052] The present invention proposes an automated operation and maintenance and intelligent management system for STN equipment. The acquisition module automatically acquires network configuration information, and the operation and maintenance and management module automatically operates and maintains according to the network status, thereby reducing the workload of manual configuration and management and solving the problem of cumbersome manual operation and low efficiency in traditional operation and maintenance. The generation module generates a communication network, the acquisition module collects network status data, and the first determination module determines the network status. This allows operation and maintenance personnel to clearly understand the network connection and operating status of the STN equipment, solving the problem of the STN network's state being opaque and difficult to monitor in real time due to its complex architecture, and facilitating the timely discovery of potential risks. The network status is determined based on the collected network status data, and the operation and maintenance and management module can perform targeted processing, changing the situation in traditional operation and maintenance where fault location is difficult and processing is slow, and can quickly demarcate faults, ensure rapid fault recovery, and reduce the impact on services. STN network resources need to be dynamically scheduled to cope with ever-changing network demands. Through intelligent management, the system can reasonably allocate and optimize resources according to the network status, solving the problem of difficult STN network resource management and improving network resource utilization and overall performance.

[0053] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0054] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0056] Figure 1 is a block diagram of an automated operation and maintenance and intelligent management system for STN equipment according to one embodiment of the present invention;

[0057] Figure 2 is a block diagram of an acquisition module according to one embodiment of the present invention;

[0058] Figure 3 is a block diagram of a generation module according to one embodiment of the present invention. DETAILED DESCRIPTION

[0059] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0060] like Figure 1As shown, the embodiment of the present invention proposes an automated operation and maintenance and intelligent management system for STN equipment, including:

[0061] The acquisition module is used to obtain the network configuration information of the STN device;

[0062] A generation module is used to generate a communication network of the STN device using a network communication model according to the network configuration information;

[0063] An acquisition module is used to acquire network status data of the communication network of the STN device;

[0064] A first determining module is used to determine the network connection state and network operation state of the STN device according to the network state data;

[0065] The operation and maintenance and management module is used to perform automated operation and maintenance and intelligent management based on the network connection status and network operation status.

[0066] The working principle of the above technical solution is as follows: obtain the network configuration information of the STN device, generate the communication network of the STN device by using the network communication model according to the network configuration information; collect the network status data of the communication network of the STN device; determine the network connection status and network operation status of the STN device according to the network status data; and perform automated operation and maintenance and intelligent management according to the network connection status and network operation status.

[0067] The beneficial effects of the above technical solution are as follows: the network configuration information is automatically acquired through the acquisition module, and the operation and maintenance and management module automatically operates and maintains according to the network status, reducing the workload of manual configuration and management, and solving the problem of cumbersome manual operations and low efficiency in traditional operation and maintenance. The generation module is used to generate the communication network, the acquisition module collects network status data, and the first determination module determines the network status, which enables the operation and maintenance personnel to clearly understand the network connection and operation status of the STN equipment, and solves the problem of the STN network's status being opaque and difficult to monitor in real time due to its complex architecture, and facilitates the timely discovery of potential risks. The network status is determined based on the collected network status data, and the operation and maintenance and management module can perform targeted processing, changing the situation of difficult fault location and slow processing in traditional operation and maintenance, and can quickly demarcate the fault, ensure rapid recovery of the fault, and reduce the impact on the business. STN network resources need to be dynamically scheduled to cope with the ever-changing network needs. Through intelligent management, the system can reasonably allocate and optimize resources according to the network status, solve the problem of difficult STN network resource management, and improve network resource utilization and overall performance.

[0068] like Figure 2 As shown, according to some embodiments of the present invention, the acquisition module includes:

[0069] A basic network parameter acquisition module is used to obtain basic network parameters; the basic network parameters include interface configuration, IP address planning and routing protocol configuration;

[0070] A service layer configuration parameter acquisition module is used to obtain service layer configuration parameters; the service layer configuration parameters include VPN services, clock synchronization and protection mechanisms;

[0071] The control parameter acquisition module is used to obtain control parameters; the control parameters include OpenFlow flow table, PCEP path calculation and NetConf / YANG model.

[0072] The working principle of the above technical solution is as follows: Interface configuration determines the physical connection and VLAN division of device ports; IP address planning assigns IP addresses to each interface and determines subnet division; routing protocol configuration determines the routing protocol and regional division of the device. VPN services determine VPN instances and perform virtual forwarding. Clock synchronization ensures clock synchronization. Protection mechanisms protect links or nodes. OpenFlow flow tables define matching fields and actions for SDN control. PCEP path calculation is used to calculate the path of cross-domain TE tunnels. The NetConf / YANG model provides interfaces for device configuration and status acquisition.

[0073] The beneficial effects of the above technical solution are: accurate and comprehensive acquisition of the network configuration information of the STN device, facilitating accurate generation of the communication network.

[0074] like Figure 3 As shown, according to some embodiments of the present invention, the generation module includes:

[0075] The first construction module is used to read the interface configuration of the STN device and the connection relationship included in the IP address planning, add edges according to the connection relationship, set link attributes, and build a physical topology connection; generate a routing table according to the physical topology connection and routing protocol configuration, and build a control plane;

[0076] A second construction module is used to construct an overlay network according to the service layer configuration parameters;

[0077] The third building block is used to integrate SDN control based on OpenFlow flow tables and PCEP path calculation, configure the NetConf agent for each STN device, load the YANG model, configure and monitor through the NETCONF protocol, and obtain the configuration results;

[0078] The fourth construction module is used to use a layered directed graph model to construct a communication network based on the control plane, overlay network and configuration results; the node attributes of the communication network include an interface list, a routing table, and an OpenFlow flow table; the edge attributes of the communication network include a link type and a QoS policy.

[0079] The working principle of the above technical solution is as follows: reading the interface configuration including port type, rate, VLAN, etc. The connection relationship included in the IP address planning is port interconnection. Link attributes include bandwidth, latency, etc. Routing protocol configuration includes OSPF process, area, network declaration, etc., and generates a routing table based on simulated routing calculation. The second construction module builds an overlay network according to the business layer configuration parameters; the third construction module integrates SDN control according to the OpenFlow flow table and PCEP path calculation, configures the NetConf agent for each STN device, and loads the YANG model, configures and monitors through the NETCONF protocol to obtain the configuration results; the fourth construction module is used to use a layered directed graph model to build a communication network based on the control plane, overlay network and configuration results; the control plane is the bottom layer, the middle is processed based on the overlay network, and the configuration results are finally added and processed to jointly build the communication network. The node attributes of the communication network include interface list, routing table, OpenFlow flow table; the edge attributes of the communication network include link type and QoS policy. The QoS policy defines traffic classification, queue scheduling and speed limit policy.

[0080] The beneficial effects of the above technical solution are: based on network configuration information, a control plane, overlay network and configuration results are generated, and a layered directed graph model is used to build a communication network to obtain an accurate communication network, which facilitates the accurate acquisition of network status data.

[0081] According to some embodiments of the present invention, the second building block includes:

[0082] A first creation module is used to create a virtual forwarding instance for each VPN instance based on the VPN service, associate the interface, and obtain an association result;

[0083] The second creation module is used to build a clock synchronization tree, determine the relationship between the master clock node and the slave node, and obtain the relationship result;

[0084] An adding module is used to add a protection group to a link / node based on a protection mechanism and obtain an adding result;

[0085] Construct an overlay network based on the association results, relationship results, and addition results.

[0086] The technical solution works as follows: Based on VPN service requirements, a logically isolated forwarding environment is created for each VPN instance and bound to physical / logical interfaces. A second creation module builds a clock synchronization tree, determines the relationship between master and slave clock nodes, and establishes a high-precision clock synchronization system to ensure time consistency across the entire network. The addition module adds protection groups to links / nodes based on protection mechanisms, implementing link / node-level redundancy and ensuring service continuity. After completing the deployment of virtual forwarding instances and basic tunnels, integrating the clock synchronization system, deploying protection mechanisms, and optimizing service chains, the overlay network is constructed.

[0087] Beneficial effects of the above technical solution: the second construction module accurately constructs the overlay network according to the service layer configuration parameters.

[0088] According to some embodiments of the present invention, the first determining module includes:

[0089] A first calculation module is used to calculate the network connection strength of the STN device according to the network status data as the network connection status;

[0090] The second calculation module is used to calculate the network operation abnormality rate of the STN device according to the network status data as the network operation status.

[0091] The working principle and beneficial effects of the above technical solution are as follows: the network connection strength and network operation abnormality rate of the STN equipment are calculated based on the network status data, which facilitates the accurate determination of the network connection status and network operation status, and the network connection status and network operation status are quantified based on these two indicators, which facilitates subsequent operation, maintenance and management.

[0092] According to some embodiments of the present invention, the first calculation module calculates the network connection strength of the STN device based on the network status data, including:

[0093] Calculate the path loss between the router and the transmission terminal;

[0094]

[0095] Among them, L d is the path loss between the router and the transmission terminal; d is the transmission distance between the router and the transmission terminal; G t is the router antenna gain; G r is the transmission terminal antenna gain; λ is the signal wavelength; α is the environmental attenuation coefficient, which is 2; X σ is the obstacle occlusion compensation coefficient;

[0096] Calculate the network connection strength of STN equipment based on the path loss between the router and the transmission terminal;

[0097] R d =Pt -L d +F MIMO

[0098] Among them, R d is the network connection strength of the STN device, that is, the signal receiving strength at the transmission terminal distance d; P t F is the router's transmit power; MIMO is the multi-antenna system gain.

[0099] The working principle of the above technical solution is: Calculate the path loss between the router and the transmission terminal; the obstacle obstruction compensation coefficient is set to (0,1). Based on the path loss between the router and the transmission terminal, the network connection strength of the STN device is calculated taking into account the router's transmit power and the multi-antenna system gain.

[0100] The beneficial effect of the above technical solution is that it facilitates accurate calculation of the network connection strength of the STN device.

[0101] According to some embodiments of the present invention, the second calculation module calculates the network operation abnormality rate of the STN device based on the network status data, including:

[0102] Analyze network status data, identify all network events, identify anomalies in network events, and filter out abnormal events;

[0103] Calculate the abnormal duration dispersion coefficient based on abnormal events;

[0104]

[0105] Among them, S is the dispersion coefficient of abnormal duration; M is the number of abnormal events screened; is the average duration of abnormal events; A i is the duration of the i-th abnormal event;

[0106] Calculate the network operation abnormality rate of STN equipment based on the abnormality duration dispersion coefficient;

[0107]

[0108] Where K is the network operation anomaly rate of STN equipment; F is the average anomaly confirmation delay; T is the total observation time; T i is the network traffic fluctuation rate of the i-th abnormal event.

[0109] The working principle and beneficial effects of the above technical solution are as follows: parsing network status data, determining all network events, identifying anomalies in network events, and screening out abnormal events; calculating the abnormal duration dispersion coefficient based on abnormal events; based on the abnormal duration dispersion coefficient, it is convenient to accurately calculate the network operation abnormality rate of the STN equipment, and then facilitate accurate determination of the network operation status.

[0110] According to some embodiments of the present invention, the operation and management module includes:

[0111] According to the network connection status and network operation status, the preset data table is searched to determine the current network service information;

[0112] Obtain preset network business demand information;

[0113] Compare network business information with preset network business demand information, and perform automated operation and maintenance and intelligent management based on the comparison results.

[0114] The working principle of the above technical solution is as follows: The preset data table is a comparison table of network connection status, network operation status, and network service information. Based on the network connection status and network operation status, it is convenient to accurately determine the current network service information. The preset network service demand information is the system default network service information or the desired network service information entered by the user. The network service information is compared with the preset network service demand information, such as adjusting the network connection strength or network operation status to adjust the network operation anomaly rate. Automated operation and maintenance and intelligent management are carried out based on the comparison results.

[0115] The beneficial effects of the above technical solution are: reasonable allocation and optimization of resources according to network status, solving the problem of difficult STN network resource management, and improving network resource utilization and overall performance.

[0116] According to some embodiments of the present invention, the further comprising:

[0117] A second determination module is configured to receive a natural language instruction input by a user, identify the natural language instruction, and determine the user's adjustment requirements;

[0118] The third determination module is used to determine the network configuration commands of the STN equipment through mapping tables and template technology according to user adjustment requirements, and perform configuration verification and conflict monitoring; after verification and monitoring are passed, the network configuration commands are executed based on the operation and management module.

[0119] The above technical solution works by receiving natural language commands input by the user, performing entity recognition based on NLP tools, and identifying intent based on the BERT model to determine the user's adjustment requirements. Mapping tables and templating technologies are used to maintain the mapping from natural language commands to device commands. The device command parser verifies the command format and checks for conflicts with other configurations. After verification and monitoring, the network configuration command is executed based on the operation and management module.

[0120] The beneficial effects of the above technical solution include: using NLP to convert user natural language into structured requirements, securely generating commands using mapping tables and templates, and ensuring execution reliability through verification and conflict detection, thereby improving automation efficiency and security. By processing the natural language commands input by users, network configuration can be adjusted according to user instructions.

[0121] According to some embodiments of the present invention, the present invention further includes an alarm module configured to:

[0122] Compare the network connection status and network operation status of the STN equipment with the alarm threshold, and determine the alarm information based on the comparison result;

[0123] Configure the master-slave and derivative association relationships of alarm information, configure the association parameters, determine the business alarms corresponding to network alarms, and perform visualization to perform alarm operations.

[0124] The working principle of the above technical solution is to compare the network connection status and network operation status of the STN equipment with the alarm threshold and determine the alarm information based on the comparison results. The alarm information may include abnormal network connection status or abnormal network operation status. After determining the master-slave and derivative association relationships in the alarm information, the association parameters are configured, that is, the logical relationships in the anomaly are organized, and the corresponding service alarm of the network alarm is determined, that is, which service processing is affected. The alarm operation is carried out through visualization.

[0125] The beneficial effects of the above technical solution are: it facilitates the accurate display of alarm information, the corresponding abnormal logic and the affected business, facilitates the comprehensive display and alarm of network detection information, and improves the accuracy and comprehensiveness of alarms.

[0126] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. An automated operation and maintenance and intelligent management system for STN equipment, characterized in that: include: The acquisition module is used to obtain the network configuration information of the STN device; A generation module is used to generate a communication network of the STN device using a network communication model according to the network configuration information; A collection module, used to collect network status data of the communication network of the STN equipment; A first determining module is used to determine the network connection state and network operation state of the STN device according to the network state data; The operation and maintenance and management module is used to perform automated operation and maintenance and intelligent management based on the network connection status and network operation status.

2. The automated operation and maintenance and intelligent management system of STN equipment as claimed in claim 1, wherein: Get modules, including: A basic network parameter acquisition module is used to obtain basic network parameters; the basic network parameters include interface configuration, IP address planning and routing protocol configuration; A service layer configuration parameter acquisition module is used to obtain service layer configuration parameters; the service layer configuration parameters include VPN services, clock synchronization and protection mechanisms; The control parameter acquisition module is used to obtain control parameters; the control parameters include OpenFlow flow table, PCEP path calculation and NetConf / YANG model.

3. The automated operation and maintenance and intelligent management system of STN equipment as claimed in claim 2, wherein: Generate modules, including: The first construction module is used to read the interface configuration of the STN device and the connection relationship included in the IP address planning, add edges according to the connection relationship, set link attributes, and build a physical topology connection; generate a routing table according to the physical topology connection and routing protocol configuration, and build a control plane; A second construction module is used to construct an overlay network according to the service layer configuration parameters; The third building block is used to integrate SDN control based on OpenFlow flow tables and PCEP path calculation, configure the NetConf agent for each STN device, load the YANG model, configure and monitor through the NETCONF protocol, and obtain the configuration results; The fourth construction module is used to use a layered directed graph model to construct a communication network based on the control plane, overlay network and configuration results; the node attributes of the communication network include an interface list, a routing table, and an OpenFlow flow table; the edge attributes of the communication network include a link type and a QoS policy.

4. The automated operation and maintenance and intelligent management system of STN equipment as claimed in claim 3, wherein: The second building block includes: A first creation module is used to create a virtual forwarding instance for each VPN instance based on the VPN service, associate the interface, and obtain an association result; The second creation module is used to build a clock synchronization tree, determine the relationship between the master clock node and the slave node, and obtain the relationship result; An adding module is used to add a protection group to a link / node based on a protection mechanism and obtain an adding result; Construct an overlay network based on the association results, relationship results, and addition results.

5. The automated operation and maintenance and intelligent management system of STN equipment as claimed in claim 1, wherein: The first determination module includes: A first calculation module is used to calculate the network connection strength of the STN device according to the network status data as the network connection status; The second calculation module is used to calculate the network operation abnormality rate of the STN device according to the network status data as the network operation status.

6. The automated operation and maintenance and intelligent management system of the STN equipment as claimed in claim 5, characterized in that: The first calculation module calculates the network connection strength of the STN device according to the network status data, including: Calculate the path loss between the router and the transmission terminal; Among them, L d is the path loss between the router and the transmission terminal; d is the transmission distance between the router and the transmission terminal; G t is the router antenna gain; G r is the transmission terminal antenna gain; λ is the signal wavelength; α is the environmental attenuation coefficient, which is 2; X σ is the obstacle occlusion compensation coefficient; Calculate the network connection strength of STN equipment based on the path loss between the router and the transmission terminal; R d =P t -L d +F MIMO Among them, R d is the network connection strength of the STN device, that is, the signal receiving strength at the transmission terminal distance d; P t F is the router transmission power; MIMO is the multi-antenna system gain.

7. The automated operation and maintenance and intelligent management system of the STN equipment according to claim 5, wherein: The second calculation module calculates the network operation abnormality rate of the STN device based on the network status data, including: Analyze network status data, identify all network events, identify anomalies in network events, and filter out abnormal events; Calculate the abnormal duration dispersion coefficient based on abnormal events; Among them, S is the dispersion coefficient of abnormal duration; M is the number of abnormal events screened; is the average duration of abnormal events; A i is the duration of the i-th abnormal event; Calculate the network operation abnormality rate of STN equipment based on the abnormality duration dispersion coefficient; Where K is the network operation anomaly rate of STN equipment; F is the average anomaly confirmation delay; T is the total observation time; T i is the network traffic fluctuation rate of the i-th abnormal event.

8. The automated operation and maintenance and intelligent management system of the STN equipment according to claim 1, wherein: Operation and management modules, including: According to the network connection status and network operation status, the preset data table is searched to determine the current network service information; Obtain preset network business demand information; Compare network business information with preset network business demand information, and perform automated operation and maintenance and intelligent management based on the comparison results.

9. The automated operation and maintenance and intelligent management system of STN equipment according to claim 1, wherein: Also includes: A second determination module is configured to receive a natural language instruction input by a user, identify the natural language instruction, and determine the user's adjustment requirements; The third determination module is used to determine the network configuration commands of the STN equipment through mapping tables and template technology according to user adjustment requirements, and perform configuration verification and conflict monitoring; after verification and monitoring are passed, the network configuration commands are executed based on the operation and management module.

10. The automated operation and maintenance and intelligent management system of the STN equipment according to claim 1, characterized in that: Also includes: Alarm module, used for: Compare the network connection status and network operation status of the STN equipment with the alarm threshold, and determine the alarm information based on the comparison result; Configure the master-slave and derivative association relationships of alarm information, configure the association parameters, determine the business alarms corresponding to network alarms, and perform visualization to perform alarm operations.

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