Service continuity control method and device in distributed network

Abstract

The invention discloses a service continuity control method and device in a distributed network, and the method comprises the steps: building a distributed network structure which comprises a plurality of SNPN networks and at least one PLMN network; initial network configuration is carried out, an SNPN network is set as a network for providing specific service, and a PLMN network is set as a network for providing basic service; monitoring the performance index of each SNPN network in real time; and judging whether the SNPN network has a fault or is about to have a fault according to the performance index of the SNPN network, and if so, redirecting the specific service of the terminal served by the SNPN network having the fault or the SNPN network being about to have the fault so as to transfer the specific service to the SNPN network which meets the performance configuration and runs normally. And if the performance configuration of the SNPN network which is normally operated at present cannot meet a certain specific service, the terminal which needs the specific service temporarily depends on the PLMN network to continuously provide the basic service. Compared with the prior art, the toughness and reliability of the network are effectively enhanced.

Description

Technical Field

[0001] The present invention relates to the field of communications, and in particular to service continuity control in a distributed network. Background Art

[0002] With the development of 5G technology, the demand for network services is growing, especially in terms of high data rates, low latency and large number of connections. 5G not only focuses on traditional scenarios such as enhanced mobile broadband (eMBB), massive machine type communications (mMTC) and ultra-reliable low latency communications (URLLC), but also emphasizes the ability to provide customized network services for various vertical industry applications. The diversity and complexity of these application scenarios put forward higher flexibility and scalability requirements for network architecture.

[0003] In response to the above problems, some studies have proposed using SNPN and distributed network services to improve the flexibility and customization of services. This method uses a distributed network architecture, combined with federated learning and AI technology, to achieve optimal configuration and intelligent management of network resources, such as the "New SID on Distributed Customization Network Services" solution provided by China Telecom. This solution improves the service capabilities and resilience of the network through the collaborative work of multiple customized SNPNs, and can quickly restore services through other healthy networks when a core network failure occurs.

[0004] Nevertheless, existing technologies still have limitations in network fault prediction, dynamic resource allocation, etc. Most current solutions focus on post-fault handling rather than pre-fault prevention, and lack efficient mechanisms for cross-network collaborative processing.

[0005] Currently, most network services still rely on the traditional single public network architecture, which limits the customization and optimization of services to a certain extent. For example, the 5G system architecture described in the document "3GPP TR 23.501" supports network slicing technology, allowing operators to create multiple virtual networks for different service requirements. However, this approach still has limitations in terms of dynamics and service response speed.

[0006] Existing network technologies have limitations in dynamically adjusting services and rapidly deploying new services. Existing architectures are particularly difficult to adapt quickly when high demand changes or emergencies occur. Traditional network architectures often have resources that are overly concentrated in certain areas or idle in other areas due to non-customized designs, which not only increases costs but also reduces the overall efficiency of the network. Most existing networks lack effective fault recovery mechanisms when core network facilities are damaged, which often leads to serious service interruptions.

[0007] Therefore, a new method for solving the above problems is urgently needed. Summary of the invention

[0008] The purpose of the present invention is to provide a method and device for controlling service continuity in a distributed network, which effectively enhances the resilience and reliability of the network.

[0009] In order to achieve the above-mentioned purpose, the present invention provides a method for controlling service continuity in a distributed network, comprising: establishing a distributed network structure, the distributed network structure comprising multiple SNPN networks and at least one PLMN network; performing initial network configuration, setting the SNPN network as a network that provides specific services, and setting the PLMN network as a network that provides basic services, so that each terminal is provided with specific services by the SNPN network and basic services by the PLMN network; real-time monitoring of the performance indicators of each of the SNPN networks; determining whether the SNPN network has failed or is about to fail based on the performance indicators of the SNPN network; when the SNPN network has failed or is about to fail, redirecting the specific services of the terminals served by the failed or about to fail SNPN network to transfer them to the SNPN network that meets the performance configuration and operates normally, and if the performance configurations of the currently operating SNPN networks cannot meet the requirements of a specific service, the terminals that need the specific service will temporarily rely on the PLMN network to continue to provide basic services.

[0010] Preferably, the service continuity control method in the distributed network also includes the steps of: after the fault of the SNPN network that is faulty or about to fail is resolved or repaired, migrating the redirected traffic of the user terminal specific service back to the SNPN network that originally failed or is about to fail.

[0011] Preferably, the specific services include industrial Internet services, low-latency communication services and high-bandwidth big data transmission services, and the basic services include high-latency communication services and Internet basic connection services.

[0012] Preferably, the PLMN network includes at least two. During the initial network configuration, one of the PLMN networks is designated as the working PLMN network, and the other PLMN network is designated as the redundant PLMN network. The working PLMN network is set as the basic service providing network, and the performance indicators of the working PLMN network are monitored in real time. It is determined whether the working PLMN network has failed or is about to fail based on the performance indicators of the working PLMN network. When the performance indicators of the working PLMN network have failed or are about to fail, the basic services of all current terminals are redirected and switched to the redundant PLMN network.

[0013] Preferably, when a performance indicator of one of the SNPN networks fails or is about to fail, a fault warning is also generated; after receiving the fault warning, an analysis tool is used to conduct an in-depth analysis of the collected performance indicators to determine the fault type and impact scope; corresponding repair measures are taken according to the fault type and impact scope;

[0014] Preferably, the service continuity control method in the distributed network also records the performance data of the redirected network to optimize the redirection strategy.

[0015] Preferably, the performance data includes network delay time, service interruption time, and user feedback information.

[0016] The present invention also discloses a service continuity control device in a distributed network, including a signal transceiver unit, a processor, and a memory, wherein the memory stores at least one executable instruction, and the at least one executable instruction enables the processor to cooperate with the signal transceiver unit to perform the operation of the service continuity control method in the distributed network as described above.

[0017] Preferably, the present invention also provides a service continuity control device in a distributed network, comprising: a distributed network structure, the distributed network structure comprising multiple SNPN networks and at least one PLMN network; an initial network configuration module, which sets the SNPN network as a network that provides specific services, and sets the PLMN network as a network that provides basic services, so that each terminal is provided with specific services by the SNPN network and basic services by the PLMN network; a monitoring module, which monitors the performance indicators of each of the SNPN networks in real time; a fault judgment module, which judges whether the SNPN network has failed or is about to fail based on the performance indicators of the SNPN network; a redirection module, which redirects the specific services of the terminals served by the failed or about to fail SNPN network to transfer them to the SNPN network that meets the performance configuration and operates normally. If the performance configurations of the currently operating SNPN networks cannot meet a specific service, the terminals that need the specific service will temporarily rely on the PLMN network to continue to provide basic services.

[0018] Preferably, the PLMN network includes at least two, the initial network configuration module designates one of the PLMN networks as the working PLMN network, designates the other of the PLMN networks as the redundant PLMN network, and sets the working PLMN network as the basic service providing network; the monitoring module monitors the performance indicators of the working PLMN network in real time, the fault judgment module determines whether the working PLMN network has failed or is about to fail based on the performance indicators of the working PLMN network, and the redirection module redirects the basic services of all current terminals to the redundant PLMN network when the performance indicators of the working PLMN network have failed or are about to fail.

[0019] Compared with the prior art, the present invention introduces a network architecture of multiple SNPNs and at least one PLMN network, basic services provided by the PLMN network and specific services provided by multiple SNPN networks, so that network services can quickly adapt to changes in service demand and maintain service quality even during peak hours or special events. Furthermore, since the network performance requirements for providing specific services are high and congestion and network failures are prone to occur, the present invention can still provide basic services by the PLMN network when the SNPN network providing specific services fails, meeting the most basic needs of the terminal without switching, and only transferring special needs to other SNPN networks, meeting the special needs of the terminal while ensuring the basic stability of the terminal network, greatly enhancing the resilience and reliability of the network. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a flow chart of the service continuity control method in the distributed network of the present invention.

[0021] Figures 2 to 5 It is a process diagram of a distributed network executing a redirection strategy in an example of the present invention.

[0022] Figure 6 It is a structural diagram of a service continuity control device in a distributed network in one embodiment of the present invention.

[0023] Figure 7 It is a structural diagram of service continuity control in a distributed network in another embodiment of the present invention. DETAILED DESCRIPTION

[0024] In order to explain the technical content, structural features, achieved objectives and effects of the present invention in detail, the following is a detailed description in conjunction with the implementation methods and the accompanying drawings.

[0025] refer to Figure 1 The present invention provides a service continuity control method 100 in a distributed network, comprising steps S1 to S5.

[0026] S1, establish a distributed network structure 21, the distributed network structure 21 includes multiple SNPN networks and at least one PLMN network. In this embodiment, the SNPN network includes SNPN1, SNPN2, SNPN3, etc. The PLMN network includes PLMN1.

[0027] S2, perform initial network configuration, set the SNPN network to be a network that provides specific services, and set the PLMN network to be a network that provides basic services, so that each terminal is provided with specific services by the SNPN network and basic services by the PLMN network.

[0028] Among them, the specific services include industrial Internet services (such as high-security data transmission services), low-latency communication services (such as online games and instant messaging) and high-bandwidth big data transmission services (such as high-definition video streaming and big data processing), and the basic services include high-latency communication services and Internet basic connection services.

[0029] In this embodiment, SNPN1: mainly provides high-security data transmission services, which usually require stricter security requirements and higher reliability. SNPN2: focuses on low-latency real-time communication applications, such as online games and instant messaging. Such services require lower latency to ensure the user's real-time interactive experience. SNPN3: responsible for high-bandwidth big data transmission services, such as high-definition video streaming and big data processing. This type of service focuses on transmission speed and bandwidth requirements. Among them, in terms of security and data transmission stability, the performance of SNPN1 is better than SNPN3 and SNPN2.

[0030] S3, real-time monitoring of the performance indicators of each SNPN network, including network bandwidth data, network delay data, packet loss rate, etc.

[0031] S4: Determine whether the SNPN network fails or is about to fail based on the performance indicators of the SNPN network.

[0032] The performance index of the SNPN network is input into the trained prediction model to predict the failure probability of the SNPN network, so as to determine whether the SNPN network will fail or will fail.

[0033] The training method of the prediction model is as follows: 1) Data collection, collecting network performance indicators, device logs and environmental data. 2) Preprocessing the collected data to standardize it and clean up erroneous data. 3) Model training, using the preprocessed data to train the preset machine learning model. Obtain the trained prediction model. In addition, the training method also uses actual fault data to retrain and optimize the model in subsequent continuous learning and feedback.

[0034] Among them, SNMP (Simple Network Management Protocol) is used to collect these performance indicators.

[0035] Predetermined performance thresholds are set, such as network delay data must not exceed 100 milliseconds, bandwidth utilization in network bandwidth data must not be less than 80%, etc. Once the real-time data shows that these thresholds are triggered, it is determined that the SNPN network has failed or is about to fail.

[0036] S5. When the SNPN network fails or is about to fail, the specific services of the terminals served by the failed or about to fail SNPN network are redirected to another SNPN network that has satisfactory performance configuration and is operating normally. If the performance configuration of the currently operating SNPN network cannot meet the requirements of a specific service, the terminals that require the specific service will temporarily rely on the PLMN network to continue to provide basic services.

[0037] Preferably, the service continuity control method in the distributed network also includes step S6: after the fault of the SNPN network that is faulty or about to fail is resolved or repaired, the redirected traffic of the user terminal specific service is migrated back to the SNPN network that originally failed or is about to fail.

[0038] Preferably, the PLMN network includes at least two. During the initial network configuration, one of the PLMN networks is designated as the working PLMN network (PLMN1), and the other of the PLMN networks is designated as the redundant PLMN network (PLMN2). The working PLMN network (PLMN1) is set as the basic service providing network, and the performance indicators of the working PLMN network (PLMN1) are monitored in real time. It is determined whether the working PLMN network (PLMN1) fails or is about to fail based on the performance indicators of the working PLMN network. When the performance indicators of the working PLMN network (PLMN1) fail or are about to fail, the basic services of all current terminals are redirected and switched to the redundant PLMN network (PLMN2), thereby completing the redirection of the PLMN network.

[0039] Wherein, before redirection, the step is also included: when the system detects that a specific network (PLMN network or SNPN network) has performance degradation or complete failure, the evaluation and update process of the routing redirection strategy is immediately triggered. The evaluation and update process of triggering the routing redirection strategy includes: considering the user's service requirements (such as real-time data transmission, high-reliability communication, etc.), as well as the current load and health status of each network, and formulating a new routing redirection strategy. The redirection of the above-mentioned SNPN network and PLMN network is carried out according to the routing redirection strategy.

[0040] After the strategy is formulated, dynamic routing protocols such as OSPF (Open Shortest Path First) or BGP (Border Gateway Protocol) are used to implement the new route redirection strategy to redirect the SNPN network and PLMN network. These protocols can adjust the transmission path of data packets according to the real-time changes in network status and redirect them. Update the routing table in the routing controller to ensure that the redirection strategy of all new routes reflects the optimal path from the faulty network to the healthy network.

[0041] During redirection, the system automatically starts to transfer the terminal's data flow from the affected (failed or about to fail) network (PLMN network or SNPN network) to the pre-selected healthy network (PLMN network or SNPN network). Use SDN (Software Defined Network) technology to achieve flexible traffic management and fast switching to ensure seamless connection during the transfer process. At the same time, to prevent overload on the healthy network, implement load balancing measures to reasonably distribute the transferred traffic, such as distributing the load through multi-path routing or traffic diversion technology.

[0042] Preferably, a fault warning is generated when a performance indicator of one of the SNPN networks (or PLMN networks) fails or is about to fail; after receiving the fault warning, an analysis tool is used to conduct an in-depth analysis of the collected performance indicators to determine the type of fault and the scope of impact; and corresponding repair measures are taken according to the type of fault and the scope of impact.

[0043] When the SNPN network fails or is about to fail, the system also generates a fault warning to notify the network administrator for further inspection. After receiving the fault warning, the network administrator uses the analysis tool to conduct an in-depth analysis of the collected performance indicators to determine the fault type and impact scope; and takes corresponding repair measures based on the fault type and impact scope. Among them, the analysis tools include root cause analysis (RCA) and fault tree analysis (FTA), etc. These tools will help determine the specific cause of the fault: whether it is caused by hardware failure, software defects, configuration errors or external factors.

[0044] The specific repair measures and repair execution are: after confirming the fault type and impact scope, execute the corresponding repair measures. This may include operations such as route adjustment, hardware replacement or software update to restore the service of the faulty network.

[0045] Preferably, the service continuity control method in the distributed network further includes: recording the performance data of the redirected network to optimize the redirection strategy. Specifically, after redirection, the current network is continuously monitored to ensure that related services are not affected by the transfer, key performance indicators such as latency, bandwidth and packet loss rate are paid attention to, and the strategy is adjusted in time to meet the SLA (service level agreement) requirements. At the same time, according to the feedback results of the service quality, further network optimization is carried out, and the redirection strategy of the route is adjusted, including increasing resources, adjusting priorities, etc., to ensure the smooth operation of all user services.

[0046] Specifically, after the original faulty network is restored, part or all of the traffic is gradually migrated back to the original network (PLMN network or SNPN network), while ensuring the continuity of service and the stability of the network during this process.

[0047] refer to Figure 6 The present invention also discloses a service continuity control device in a distributed network, including a signal transceiver unit, a processor, and a memory, wherein the memory stores at least one executable instruction, and the at least one executable instruction enables the processor to cooperate with the signal transceiver unit to perform the operation of the service continuity control method in the distributed network as described above.

[0048] refer to Figure 7 The present invention also discloses a service continuity control device in a distributed network, including a distributed network structure 21, an initial network configuration module 22, a monitoring module 23, a fault determination module 24 and a redirection module 25.

[0049] The distributed network structure 21 includes multiple SNPN networks and at least one PLMN network. In this embodiment, the SNPN networks include SNPN1, SNPN2, SNPN3, etc. The PLMN networks include PLMN1 and PLMN2.

[0050] The initial network configuration module 22 sets the SNPN network as a network providing specific services and the PLMN network as a network providing basic services, so that each terminal is provided with specific services by the SNPN network and basic services by the PLMN network.

[0051] Among them, the specific services include industrial Internet services (such as high-security data transmission services), low-latency communication services (such as online games and instant messaging) and high-bandwidth big data transmission services (such as high-definition video streaming and big data processing), and the basic services include high-latency communication services and Internet basic connection services.

[0052] In this embodiment, SNPN1: mainly provides high-security data transmission services, which usually require stricter security requirements and higher reliability. SNPN2: focuses on low-latency real-time communication applications, such as online games and instant messaging. Such services require lower latency to ensure the user's real-time interactive experience. SNPN3: responsible for high-bandwidth big data transmission services, such as high-definition video streaming and big data processing. This type of service focuses on transmission speed and bandwidth requirements. Among them, in terms of security and data transmission stability, the performance of SNPN1 is better than SNPN3 and SNPN2.

[0053] The monitoring module 23 monitors the performance indicators of each SNPN network in real time, including network bandwidth data, network delay data, packet loss rate, etc.

[0054] The fault determination module 24 determines whether the SNPN network has failed or is about to fail according to the performance indicators of the SNPN network.

[0055] The performance index of the SNPN network is input into the trained prediction model to predict the failure probability of the SNPN network, so as to determine whether the SNPN network will fail or will fail.

[0056] The training method of the prediction model is as follows: 1) Data collection, collecting network performance indicators, device logs and environmental data. 2) Preprocessing the collected data to standardize it and clean up erroneous data. 3) Model training, using the preprocessed data to train the preset machine learning model. Obtain the trained prediction model. In addition, the training method also uses actual fault data to retrain and optimize the model in subsequent continuous learning and feedback.

[0057] Among them, SNMP (Simple Network Management Protocol) is used to collect these performance indicators.

[0058] Predetermined performance thresholds are set, such as network delay data must not exceed 100 milliseconds, bandwidth utilization in network bandwidth data must not be less than 80%, etc. Once the real-time data shows that these thresholds are triggered, it is determined that the SNPN network has failed or is about to fail.

[0059] The redirection module 25 redirects the specific services of the terminal served by the SNPN network that is faulty or about to fail to transfer them to another SNPN network that has satisfactory performance configuration and is operating normally. If the performance configuration of the currently operating SNPN network cannot meet the requirements of a specific service, the terminal that requires the specific service will temporarily rely on the PLMN network to continue to provide basic services.

[0060] Preferably, the PLMN network includes at least two, the initial network configuration module 22 designates PLMN1 as the working PLMN network and PLMN2 as the redundant PLMN network, and sets the working PLMN network as the basic service providing network; the monitoring module 23 monitors the performance indicators of the working PLMN network in real time, the fault judgment module 24 determines whether the working PLMN network has failed or is about to fail based on the performance indicators of the working PLMN network, and the redirection module 25 redirects the basic services of all current terminals to the redundant PLMN network when the performance indicators of the working PLMN network have failed or are about to fail.

[0061] The service continuity control device in the distributed network also includes a policy formulation and update module 26, which records the performance data of the redirected network to optimize the redirection strategy. Specifically, when the fault determination module 24 detects that a specific network has a performance degradation or a complete failure, the policy formulation and update module 26 immediately triggers the evaluation and update process of the routing redirection strategy. The policy formulation and update module 26 considers the user's service requirements (such as real-time data transmission, high-reliability communication, etc.), as well as the current load and health status of each network, and formulates a new routing redirection strategy.

[0062] After the strategy is formulated, the redirection module 25 uses dynamic routing protocols such as OSPF (Open Shortest Path First) or BGP (Border Gateway Protocol) to implement the redirection strategy of the new route. These protocols can adjust the transmission path of the data packet according to the real-time changes in the network status and redirect it. The routing table is updated in the routing controller to ensure that the redirection strategy of all new routes reflects the optimal path from the faulty network to the healthy network.

[0063] During redirection, the redirection module 25 automatically starts to transfer the data flow of the terminal from the affected (failed or about to fail) network to the pre-selected healthy network. Use SDN (Software Defined Network) technology to achieve flexible traffic management and fast switching to ensure seamless connection during the transfer process. At the same time, in order to prevent overload on the healthy network, load balancing measures are implemented to reasonably distribute the transferred traffic, such as distributing the load through multi-path routing or traffic diversion technology.

[0064] refer to Figures 2 to 5 , the working process of the present invention is illustrated by way of example:

[0065] As described in the following table:

[0066] The current terminals include: UE1, UE2, UE3, UE4, the current SNPN networks include SNPN1, SNPN2, SNPN3, and the current PLMN networks include PLMN1 and PLMN2.

[0067] SNPN1: Mainly provides high-security data transmission services, which usually require stricter security requirements and higher reliability. SNPN2: Focuses on low-latency real-time communication applications, such as online games and instant messaging. Such services require lower latency to ensure users' real-time interactive experience. SNPN3: Responsible for high-bandwidth big data transmission services, such as high-definition video streaming and big data processing that focus on transmission speed and bandwidth requirements. In terms of security and data transmission stability, the performance of SNPN1 is better than that of SNPN3 and SNPN2. SNPN1 can provide industrial Internet services, low-latency communication services, and high-bandwidth big data transmission services in terms of improved performance. The performance of SNPN3 and SNPN2 can provide low-latency communication services and high-bandwidth big data transmission services, but it is not enough to provide industrial Internet services.

[0068] PLMN1 is the working PLMN, PLMN2 is the redundant PLMN, and the PLMN network provides basic services and can carry users' voice, SMS and basic Internet connections.

[0069] refer to Figure 2 As shown in Table 1 below, it is assumed that the basic service of terminal UE1 is provided by PLMN1, and the specific service is provided by SNPN1, and high-definition data transmission service is provided; the basic service of terminal UE2 is provided by PLMN1, and the specific service is provided by SNPN2, and low-latency real-time communication service is provided; the basic service of terminal UE3 is provided by PLMN1, and the specific service is provided by SNPN1, and high-security data transmission service is provided; the basic service of terminal UE4 is provided by PLMN1, and the specific service is provided by SNPN3, and large data transmission service is provided;

[0070] refer to Figure 3 As shown in Table 1 below, when SNPN2 and SNPN3 are normal but SNPN1 is interrupted due to a fault, the system detects that SNPN1 has failed and transfers the traffic of specific services in the terminals UE1 and UE3 served by SNPN1 to SNPN2 according to the redirection strategy, and the basic service is provided by PLMN1. Since the performance of SNPN3 is not sufficient to provide large data transmission services, the specific service of UE3 (high-security data transmission service) cannot be immediately transferred to the currently operating SNPN. The system temporarily relies on PLMN1 to continue to provide basic services, waiting for recovery or subsequent optimization.

[0071]

[0072] Table 1

[0073] refer to Figure 4As shown in Table 2 below, when SNPN2 is interrupted again due to a fault, the system detects that SNPN2 has failed, and according to the redirection strategy, the traffic of specific services in the terminals UE1 and UE2 served by SNPN2 is transferred to SNPN3, and the basic services are provided by PLMN1. Since the performance of SNPN3 is not sufficient to provide large data transmission services, the specific services of UE3 (high-security data transmission services) cannot be immediately transferred to the currently operating SNPN, and the system temporarily relies on PLMN1 to continue to provide basic services, waiting for recovery or subsequent optimization.

[0074]

[0075] Table 2

[0076] refer to Figure 5 As shown in Table 3 below, when PLMN1 is interrupted again due to a fault, the system detects that PLMN1 has failed, and transfers the traffic of basic services in terminals E1, UE2, UE3 and UE4 served by PLMN1 to PLMN2 according to the redirection strategy, and the network of specific services remains unchanged and is still SNPN3.

[0077]

[0078]

[0079] Table 3

[0080] After traffic redirection, the system continuously monitors the network service quality of the PLMN network and each SNPN network to ensure the normal operation of basic services, and optimizes specific services after redirection to avoid overloading the new SNPN network.

[0081] When SNPN1 is fully repaired, the system will gradually migrate the specific service traffic of UE1 and UE3 back to SNPN1 and continue to maintain the basic service connection. When PLMN1 is fully repaired, the system will gradually migrate the basic service traffic of all users from PLMN2 back to PLMN1 and restore the original basic network service.

[0082] During the troubleshooting process, the system recorded the performance data of traffic redirection, including latency, service interruption time, user feedback, etc., and optimized the redirection strategy to improve the ability to cope with future network failures.

[0083] Compared with the prior art, the present invention provides significant improvements in fault management and service continuity assurance of distributed networks. Traditional 5G networks that rely on a single PLMN network or a simple network structure may be inefficient when facing high data traffic and complex application scenarios, and when a network failure occurs, the entire service may face the risk of interruption. The present invention significantly improves the service flexibility and reliability of the network by combining the SNPN network and the PLMN network into a distributed network structure and then introducing advanced fault prediction and dynamic routing update technology.

[0084] The present invention enables network operators to deploy multiple SNPN networks and at least one PLMN network according to different service requirements. These SNPN networks and PLMN networks together constitute a highly flexible distributed network. By implementing a fault prediction algorithm, the system can predict and identify impending network problems, thereby automatically rerouting traffic to other healthy networks before users are affected, ensuring seamless continuity of services and consistency of user experience. In addition, this method reduces the risk of service interruptions due to network failures, improves the efficiency of data transmission and reduces delays, especially in high-demand application scenarios.

[0085] PLMN (Public Land Mobile Network): Public Land Mobile Network. SNPN (Standalone Non-Public Network): Standalone Non-Public Network. NPM (Network Performance Monitoring): Network Performance Monitoring. SNMP (Simple Network Management Protocol): Simple Network Management Protocol. OSPF (Open Shortest Path First): Open Shortest Path First. BGP (Border Gateway Protocol): Border Gateway Protocol. SDN (Software Defined Networking): Software Defined Network. QoS (Quality of Service): Quality of Service. SLA (Service Level Agreement): Service Level Agreement.

[0086] The above disclosure is only the preferred embodiment of the present invention, which certainly cannot be used to limit the scope of rights of the present invention. Therefore, equivalent changes made according to the scope of the patent application of the present invention are still within the scope covered by the present invention.

Claims

1. A method for controlling service continuity in a distributed network, characterized in that: include: Establishing a distributed network structure, the distributed network structure comprising a plurality of SNPN networks and at least one PLMN network; Performing initial network configuration, setting the SNPN network as a network providing specific services, and setting the PLMN network as a network providing basic services, so that each terminal is provided with specific services by the SNPN network and basic services by the PLMN network; Real-time monitoring of the performance indicators of each of the SNPN networks; Determining whether the SNPN network has failed or is about to fail based on the performance indicators of the SNPN network; When the SNPN network fails or is about to fail, the specific services of the terminals served by the failed or about to fail SNPN network will be redirected to the SNPN network that meets the performance configuration and operates normally. If the performance configuration of the currently operating SNPN network cannot meet the requirements of a specific service, the terminals that require the specific service will temporarily rely on the PLMN network to continue to provide basic services.

2. The method for controlling service continuity in a distributed network according to claim 1, wherein: The method further comprises the steps of: after the fault of the SNPN network that is faulty or about to fail is resolved or repaired, migrating the redirected traffic of the user terminal specific service back to the SNPN network that is faulty or about to fail.

3. The method for controlling service continuity in a distributed network according to claim 1, wherein: The specific services include industrial Internet services, low-latency communication services and high-bandwidth big data transmission services, and the basic services include high-latency communication services and Internet basic connection services.

4. The method for controlling service continuity in a distributed network according to claim 1, wherein: The PLMN network includes at least two. During the initial network configuration, one of the PLMN networks is designated as the working PLMN network, and the other PLMN network is designated as the redundant PLMN network. The working PLMN network is set as the basic service providing network, and the performance indicators of the working PLMN network are monitored in real time. It is determined whether the working PLMN network has failed or is about to fail based on the performance indicators of the working PLMN network. When the performance indicators of the working PLMN network have failed or are about to fail, the basic services of all current terminals are redirected and switched to the redundant PLMN network.

5. The method for controlling service continuity in a distributed network according to claim 1, wherein: When a performance indicator of one of the SNPN networks fails or is about to fail, a fault warning is also generated; After receiving the fault warning, use the analysis tool to conduct in-depth analysis on the collected performance indicators to determine the fault type and impact scope; and take corresponding repair measures based on the fault type and impact scope.

6. The method for controlling service continuity in a distributed network according to claim 1, wherein: Performance data of the redirected network is also recorded to optimize the redirection strategy.

7. The method for controlling service continuity in a distributed network according to claim 1, wherein: The performance data includes network delay time, service interruption time, and user feedback information.

8. A service continuity control device in a distributed network, characterized in that: It includes a signal transceiver unit, a processor, and a memory, wherein the memory stores at least one executable instruction, and the at least one executable instruction enables the processor to cooperate with the signal transceiver unit to perform the operation of the service continuity control method in a distributed network as described in any one of claims 1-7.

9. A service continuity control device in a distributed network, characterized in that: include: A distributed network structure, the distributed network structure comprising a plurality of SNPN networks and at least one PLMN network; an initial network configuration module, which sets the SNPN network as a network providing specific services and the PLMN network as a network providing basic services, so that each terminal is provided with specific services by the SNPN network and basic services by the PLMN network; A monitoring module, monitoring the performance indicators of each of the SNPN networks in real time; A fault determination module, for determining whether the SNPN network has failed or is about to fail based on the performance indicators of the SNPN network; The redirection module redirects the specific services of the terminal served by the SNPN network that is faulty or about to fail to transfer them to the SNPN network that meets the performance configuration and operates normally. If the performance configuration of the currently operating SNPN network cannot meet a specific service, the terminal that requires the specific service will temporarily rely on the PLMN network to continue to provide basic services.

10. The service continuity control device in a distributed network as claimed in claim 9, characterized in that: The PLMN network includes at least two, the initial network configuration module designates one of the PLMN networks as a working PLMN network, designates the other of the PLMN networks as a redundant PLMN network, and sets the working PLMN network as a basic service providing network; the monitoring module monitors the performance indicators of the working PLMN network in real time, the fault judgment module determines whether the working PLMN network has failed or is about to fail based on the performance indicators of the working PLMN network, and the redirection module redirects the basic services of all current terminals to the redundant PLMN network when the performance indicators of the working PLMN network have failed or are about to fail.

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