Network quality detection systems, methods, devices, and media

Abstract

The application provides a network quality detection system, method, device and medium, comprising a service SLA sensing node, an infrastructure detection node and a single-service quality detection and analysis node, which are connected in communication with each other. The service SLA sensing node is used for collecting a user plane data stream, obtaining service flow key information and service flow characteristics from the user plane data stream, and determining a service quality difference event according to the service flow characteristics. The infrastructure detection node is used for monitoring the performance and failure of infrastructure equipment in a service path corresponding to the service flow key information. The single-service quality detection and analysis node is used for restoring the service path according to the service flow key information, binding the service SLA sensing node and the infrastructure detection node through the restored service path, and presenting the performance and failure of the infrastructure equipment in the service path and the service quality difference event, so as to completely monitor the whole picture of the end-to-end service.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of communication, and in particular to a network quality detection system, method, device and medium. BACKGROUND

[0002] With the development of 5G communication technology, the network deployment mode of 5G+MEC (Multi-access Edge Computing) is gradually popularized and applied in the TOB field.

[0003] The three typical application scenarios of 5G network, URLLC, eMBB and mMTC, correspond to three application types of ultra-reliable low-latency communication, high bandwidth and massive connection, and all of them need to deploy computing capability at the edge of the business scenario to meet the QOS requirements.

[0004] Because of the great difference in QOS of different businesses in the three typical application scenarios of 5G, and the need for effective monitoring of business QOS in the actual operation and maintenance process of enterprises and operators, operators need to provide an integrated business monitoring solution and system for enterprise parks. The traditional monitoring solution of operators mainly faces the general network protocol and network equipment of the whole network access, and the monitoring solution of specific application businesses is usually built by enterprises themselves, which makes it difficult to monitor the whole picture of business occurrence. SUMMARY

[0005] The present application provides a network quality detection system, method, device and medium to monitor the whole picture of end-to-end business occurrence.

[0006] In a first aspect, the present application provides a network quality detection system, comprising: a business SLA sensing node, an infrastructure detection node and a single business quality detection and analysis node, wherein the business SLA sensing node, the infrastructure detection node and the single business quality detection and analysis node are communicatively connected.

[0007] The business SLA sensing node is configured to collect a user plane data stream, obtain business flow key information and business flow characteristics from the user plane data stream, and determine a business quality difference event according to the business flow characteristics.

[0008] The infrastructure detection node is configured to monitor the performance and failure of the infrastructure equipment in the business path corresponding to the business flow key information.

[0009] The single business quality detection and analysis node is configured to restore the business path according to the business flow key information, bind the business SLA sensing node and the infrastructure detection node through the restored business path, and present the performance and failure of the infrastructure equipment in the business path and the business quality difference event.

[0010] Optionally, the business SLA sensing node includes: a user form performance analysis module and a business SLA perception evaluation module;

[0011] The user face document performance analysis module is used to collect user face data streams, obtain key information and characteristics of business flows from the user face data streams, and determine poor business quality events based on the characteristics of the business flows.

[0012] The business SLA awareness and assessment module is used to generate a business quality deterioration warning based on the pre-established business SLA awareness indicator degradation threshold and the business quality deterioration event.

[0013] Optionally, the user plane document performance analysis module is specifically used to configure SLA indicators according to application protocol messages, use network traffic collection probes to collect user plane data streams at the N3 / N4 port between the 5G access network side and the UPF side, obtain key service flow information and service flow characteristics matching the SLA indicators from the user plane data streams, and determine service quality poor events based on the service flow characteristics.

[0014] The key information of the service flow includes client IP, client port, 5G wireless information, server IP and server port. The SLA indicators include at least one of uplink / downlink rate, peak uplink / downlink rate, uplink / downlink RTT latency, jitter, uplink / downlink packet loss, effective transmission duration, and effective transmission traffic.

[0015] Optionally, the business SLA awareness and evaluation module is specifically used to set a business SLA awareness indicator degradation threshold according to the business type, and generate a business quality degradation warning when the number of poor business events exceeds the business SLA awareness indicator degradation threshold.

[0016] The service type includes at least one of eMBB service, uRRC service, and mMTC service.

[0017] Optionally, the infrastructure detection node includes: a 5G application terminal diagnostic module and a 5G basic network equipment performance monitoring module;

[0018] The 5G application terminal diagnostic module is used to diagnose the network quality of the application terminal.

[0019] The 5G basic network equipment performance monitoring module is used to monitor the performance and faults of basic equipment in the service path corresponding to the key information of the service flow.

[0020] Optionally, the 5G application terminal diagnostic module is specifically used to send dial-up test commands to the CPE through the 5G wireless terminal management component to test the network quality.

[0021] The test includes at least one of an IP ping test, a route tracking test, a network bandwidth TCP / UDP upload and download test, and a video service simulation test.

[0022] Optionally, the 5G base network equipment performance monitoring module is specifically configured to acquire the performance and faults of at least one of a 5G wireless base station, a bearer transmission network, a SA UPF-MEC, an application cloud server, a switch, and a firewall.

[0023] Optionally, the service quality detection and analysis quality detection node includes a service application SLA monitoring module and a service path network element monitoring module.

[0024] The service application SLA monitoring module is configured to acquire the service flow key information.

[0025] The service path network element monitoring module is configured to restore a service path according to the service flow key information, bind the service SLA sensing node and the infrastructure detection node through the service path, and present the performance and faults of the basic equipment in the service path and the service quality difference event.

[0026] Optionally, the service application SLA monitoring module is specifically configured to acquire a service identity, and acquire the service flow key information according to the service identity.

[0027] Optionally, the service path network element monitoring module is specifically configured to acquire the service flow key information from the service application SLA monitoring module, identify the application terminal equipment identity, the CPE equipment identity, the 5G wireless base station equipment identity, the bearer transmission network equipment identity, the UPF equipment identity, the firewall equipment identity, the switch identity, and the application cloud server identity of the service occurrence through the service flow key information, restore the service path, and present the performance and faults of the basic equipment in the service path and the service quality difference event in the service path.

[0028] In a second aspect, the present application provides a network quality detection method, a network quality detection system including a service SLA sensing node, an infrastructure detection node, and a single-service quality detection and analysis node, the service SLA sensing node, the infrastructure detection node, and the single-service quality detection and analysis node being in communication connection; the method is used for the single-service quality detection and analysis node, and the method includes:

[0029] obtaining service flow key information and service quality degradation events from the service SLA sensing node, the service flow key information being obtained by the service SLA sensing node from the collected user plane data flow, the service quality degradation events being determined by the service SLA sensing node according to service flow characteristics, the service flow characteristics being obtained from the user plane data flow;

[0030] obtaining performance and faults of infrastructure in a service path corresponding to the service flow key information from the infrastructure detection node;

[0031] restoring a service path according to the service flow key information, and presenting the performance and faults of the infrastructure and the service quality degradation events in the restored service path.

[0032] In a third aspect, the present application provides an electronic device, comprising: a memory and a processor;

[0033] The memory is configured to store instructions, and the processor is configured to invoke the instructions in the memory to execute the network quality detection method in the second aspect.

[0034] In a fourth aspect, the present application provides a computer readable storage medium, and the computer readable storage medium stores computer instructions, when at least one processor of an electronic device executes the computer instructions, the electronic device executes the network quality detection method in the second aspect.

[0035] In a fifth aspect, the present application provides a computer program product, and the computer program product comprises computer instructions, when at least one processor of an electronic device executes the computer instructions, the electronic device executes the network quality detection method in the second aspect.

[0036] The network quality detection system provided by the present application comprises a service SLA sensing node, an infrastructure detection node and a single-service quality detection and analysis node, and the three nodes are connected in communication. The service SLA sensing node is configured to collect user plane data flow, obtain service flow key information and service flow characteristics from the user plane data flow, and determine service quality degradation events according to the service flow characteristics. The infrastructure detection node is configured to monitor performance and faults of infrastructure in a service path corresponding to the service flow key information. The single-service quality detection and analysis node is configured to restore a service path according to the service flow key information, bind the service SLA sensing node and the infrastructure detection node through the restored service path, and present performance and faults of infrastructure and service quality degradation events in the service path, so as to monitor the whole picture of end-to-end service in a complete manner. BRIEF DESCRIPTION OF DRAWINGS

[0037] In order to more clearly illustrate the technical solutions in the application or the prior art, the accompanying drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced as follows. Obviously, the accompanying drawings in the following description are some embodiments of the application, and for those skilled in the art, other drawings can also be obtained from these drawings without creative labor.

[0038] Figure 1 The structural schematic diagram of the network quality detection system provided by an embodiment of the application is shown in the figure.

[0039] Figure 2 The structural schematic diagram of the service SLA sensing node provided by an embodiment of the application is shown in the figure.

[0040] Figure 3 The structural schematic diagram of the infrastructure probing node provided by an embodiment of the application is shown in the figure.

[0041] Figure 4 The structural schematic diagram of the single-service quality detection and analysis node provided by an embodiment of the application is shown in the figure.

[0042] Figure 5 The flowchart of the network quality detection method provided by an embodiment of the application is shown in the figure.

[0043] Figure 6 The hardware structural schematic diagram of the electronic device provided by an embodiment of the application is shown in the figure. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical solutions and advantages of the application clearer, the technical solutions in the application will be described clearly and completely in combination with the accompanying drawings in the application. Obviously, the described embodiments are some embodiments of the application, rather than all the embodiments. Based on the embodiments in the application, all the other embodiments obtained by those skilled in the art without creative labor are within the protection scope of the application.

[0045] With the development of 5G communication technology, the network deployment mode of 5G+MEC (Multi-access Edge Computing) is gradually popularized and applied in the TOB field. Due to the change of operation mode, the following problems are exposed in the actual business development: the traditional network monitoring means of operators cannot meet the detailed network requirements of different businesses of specific industries; the service SLA standard required by enterprise park needs rapid delimitation and positioning ability, and compared with the traditional single medium network structure of enterprise park, 5G+MEC sinks the core network function to the edge scene of enterprise park, and the network structure is more complex, so the traditional problem positioning method cannot meet the SLA requirement; the traditional operation monitoring means mainly faces the post-discovery and processing, and the production of enterprise park has been damaged when the problem is discovered, so the network element monitoring of single business full link is needed to actively detect the network operation.

[0046] 5G network typical scenarios URLLC, eMBB, mMTC correspond to three application types of ultra-reliable low-latency communication, high bandwidth and mass connection, all of which need to deploy computing capability at the edge of business scenarios to meet the QOS requirement. Operators deploy MEC at the edge of 5G network to provide network connection and data processing services for enterprises, so that the data flow of enterprise user plane does not need to pass through the operator core network to realize end-to-end connection. Through the edge computing capability of MEC, on the one hand, the business delay and network traffic aggregation pressure are reduced, and on the other hand, a certain computing power support is provided for enterprise production.

[0047] Due to the great difference of QOS of different businesses in the three typical application scenarios of 5G, and the effective monitoring of business QOS is also needed in the actual operation and maintenance process of enterprises and operators, therefore, the operators need to provide integrated business monitoring scheme and system for enterprise park. The traditional monitoring scheme of operators mainly faces the general network protocol and network equipment of full network access, and the monitoring scheme of specific application business is usually built by enterprises themselves, which is difficult to monitor the whole picture of business occurrence.

[0048] To solve the above problems, the application provides a network quality detection system, which comprises a service SLA sensing node, an infrastructure detection node and a single-service quality detection and analysis node, and the three nodes are connected in communication. The service SLA sensing node is used for collecting user plane data flow, obtaining service flow key information and service flow characteristics from the user plane data flow, and determining service quality difference events according to the service flow characteristics. The infrastructure detection node is used for monitoring the performance and failure of the infrastructure equipment in the service path corresponding to the service flow key information. The single-service quality detection and analysis node is used for restoring the service path according to the service flow key information, binding the service SLA sensing node and the infrastructure detection node through the restored service path, and presenting the performance and failure of the infrastructure equipment in the service path and the service quality difference events, so as to completely monitor the whole picture of the end-to-end service.

[0049] The technical scheme of the application is described in detail below with specific examples. The following specific examples can be combined with each other, and the same or similar concepts or processes can not be described in some examples.

[0050] Figure 1 The structure of the network quality detection system provided by an embodiment of the application is shown. As shown in the figure, Figure 1 The network quality detection system provided by the embodiment of the application comprises a service SLA sensing node 101, an infrastructure detection node 102 and a single-service quality detection and analysis node 103. The infrastructure detection node 102 and the service SLA sensing node 101 are connected in communication, and the single-service quality detection and analysis node 103 is connected in communication with the service SLA sensing node 101 and the infrastructure detection node 102. The service SLA sensing node 101 is used for collecting user plane data flow, obtaining service flow key information and service flow characteristics from the user plane data flow, and determining service quality difference events according to the service flow characteristics. The infrastructure detection node 102 is used for monitoring the performance and failure of the infrastructure in the service path corresponding to the service flow key information. The single-service quality detection and analysis node 103 restores the service path according to the service flow key information, binds the service SLA sensing node and the infrastructure detection node through the restored service path, presents the performance and failure of the infrastructure in the service path and the service quality difference events, and thus can completely monitor the whole picture of the end-to-end service.

[0051] In some embodiments, as shown in the figure, Figure 2 The service SLA sensing node 101 comprises a user plane single bill performance analysis module 110 and a service SLA sensing evaluation module 112. The user plane single bill performance analysis module 110 is used for collecting user plane data flow and service performance indicators, and determining service quality difference events according to the service performance indicators.

[0052] In this embodiment, the user plane single bill performance analysis module 110 defines single service minute level SLA indicators according to application protocol message types, the application protocol message types including at least one of eMBB service, uRLLC service and mMTC service, the eMBB service refers to high bandwidth, the uRLLC service refers to low latency, and the mMTC refers to large mass. The SLA indicators corresponding to the eMBB service, the SLA indicators corresponding to the uRLLC service, and the SLA indicators corresponding to the mMTC service can be defined. The SLA indicators can include at least one of uplink and downlink rates, peak uplink and downlink rates, uplink and downlink RTT latencies, jitters, uplink and downlink packet losses, effective transmission durations and effective transmission traffics, and can also include other indicators, which are not limited here.

[0053] The user plane single bill performance analysis module 110 can also use network traffic collection probes to collect user plane data streams between the 5G access network side and the UPF side N3 / N4 interface, and then obtain service flow key information from the user plane data stream through service flow identification, two-layer tunneling protocol analysis and other methods. The service flow key information can include client IP, client port, 5G wireless information, server IP and server port, and the 5G wireless information can include IMSI (International Mobile Subscriber Identity) and gNodeB IP. IMSI is an identification code used to distinguish different users in a cellular network and is not repeated in all cellular networks. gNodeB (gNB) is a 5G wireless base station that transmits and receives communication signals between user equipment and a mobile network.

[0054] The user plane single bill performance analysis module 110 can also calculate and generate real-time performance indicators of each specific terminal service based on the service flow key information. At the same time, the service flow characteristics in the user plane data stream are determined according to the pre-defined single service minute level SLA indicators or AI identification, for example, the SLA indicators related to the eMBB service, the uRLLC service and the mMTC service can be pre-defined, and then the indicators matching a certain service in the user plane data stream are obtained, i.e. the service flow characteristics of the service. Then, the service quality deterioration events are defined according to the service flow characteristics, including but not limited to service abnormal terminal, service abnormal rate, service latency deterioration, etc., such as uplink and downlink rates exceeding uplink and downlink rate thresholds, uplink and downlink RTT latencies exceeding latency thresholds, etc.

[0055] In this embodiment, the service SLA perception and evaluation module 112 can achieve visual analysis of scenario service experience based on single service SLA indicators, and establish an SLA evaluation system for different types of services in 5G 2B scenarios. For example, it can establish eMBB services, uRLLC services, and mMTC services. Among them, eMBB services can include video backhaul, VR / AR video, machine vision, etc., uRLLC services can include AGV collaboration, and mMTC services can include IoT cities. The service SLA perception and evaluation module 112 can also set service SLA perception indicator degradation thresholds according to the characteristic requirements of different types of services, using methods such as deep parsing of service protocols, feature extraction, and data stream aggregation processing. Different service types can have corresponding service SLA perception indicator degradation thresholds. Thus, service anomaly alarms can be generated based on service quality poor events and service SLA perception indicator degradation thresholds. For example, service quality poor events can be counted, and when the number of service quality poor events exceeds the service SLA perception indicator degradation threshold, a service anomaly alarm is triggered.

[0056] In some embodiments, such as Figure 3 As shown, the infrastructure detection node 102 includes a 5G application terminal diagnostic module 120 and a 5G basic network equipment performance monitoring module 122. The 5G application terminal diagnostic module 120 is used for remote real-time diagnosis and status monitoring of application terminal network quality. The 5G basic network equipment performance monitoring module 122 is used to monitor and analyze the status of 5G basic network element nodes and their impact on services, i.e., to monitor the performance and faults of basic equipment in the service path corresponding to key information of the service flow. Basic equipment includes at least one of the following: 5G application terminal, CPE (Customer Premise Equipment), 5G base station, UPF-MEC (User Plane Function-Mobile Edge Computing), firewall, switch, and application cloud server.

[0057] In this embodiment, the 5G application terminal diagnostic module 120 uses the 5G wireless terminal management component to issue test commands to the CPE to achieve remote real-time network quality diagnosis, including IP ping testing, route tracing testing, network bandwidth TCP / UDP upload / download testing, and video service simulation testing. The 5G application terminal diagnostic module 120 is also used to quickly obtain end-to-end quality performance indicators of the 5G private network, such as latency, speed, packet loss, and jitter, through the test diagnostic module. Simultaneously, it monitors the access-side network quality indicators such as RSRP and SINR of the CPE WAN port accessing the 5G wireless base station, and indicators such as the RSSI of the CPE LAN port Wi-Fi strength.

[0058] The 5G basic network device performance monitoring module 122 obtains the performance and fault information of each domain network element device from the operator multi-domain network element, monitors and analyzes the influence of the 5G basic network element node device on the service in real time, that is, monitors the performance and fault of the basic device in the service path corresponding to the key information of the service flow. The operator multi-domain network element includes a 5G wireless base station, a bearing transmission network, a SA UPF-MEC, an application cloud server, and a switch and firewall in the park.

[0059] In some embodiments, as shown in Figure 4 The single service quality detection and analysis node 103 includes a service application SLA monitoring module 130 and a service path network element monitoring module 132. The service application SLA monitoring module 130 is used to obtain the key information of the service flow, and the service path network element monitoring module 132 is used to restore the service path according to the key information of the service flow, bind the service SLA sensing node and the infrastructure detection node through the service path, and present the performance and fault of the infrastructure and the service quality degradation event in the service path.

[0060] It should be noted that the key information of the service flow collected by the service SLA sensing node has a corresponding relationship with the characteristics of the service flow, the characteristics of the service flow correspond to the service quality degradation event, the key information of the service flow corresponds to the service quality degradation event, and the key information of the service flow corresponds to the performance and fault of the infrastructure. Therefore, the service path restored through the key information of the service flow can reflect the service quality degradation event and the performance and fault of the infrastructure.

[0061] In this embodiment, the service application SLA monitoring module 130 is used to obtain the IMSI, and then identify the key information of the service flow, obtain the CPE WAN port IP (i.e., the client IP), the CPE WAN port (i.e., the client port), the 5G wireless base station user plane IP (i.e., the gnodeB IP), the application cloud server IP (i.e., the server IP), and the application server port (i.e., the server port). The service application SLA monitoring module 130 can also present the service path network element monitoring link condition based on the key information of the service flow and the service SLA sensing node, identify the service identity through the IMSI, and associate the minute-level service SLA index and the real-time event-level service quality degradation. The service application SLA monitoring module 130 can also identify the type of service, associate the service SLA sensing evaluation module, and present the service quality monitoring, such as the 5G service performance index, the 5G sensing deterioration information, and the service interruption alarm.

[0062] The service path network element monitoring module 132 can obtain service flow key information from the service application SLA monitoring module, identify the application terminal device identity, the CPE device identity, the 5G wireless base station device identity, the bearer transmission network device identity, the UPF device identity, the firewall device identity, the switch identity and the application cloud server identity through the service flow key information, and identify the identity of the basic device to restore the service path. The running status of the basic device in the service path can be obtained from the infrastructure detection node, such as the 5G wireless terminal diagnosis report and the basic device fault alarm. The performance and fault of the basic device in the service path and the service quality difference event are presented in the service path, so that the whole picture of the end-to-end service occurrence can be displayed according to the service path.

[0063] Figure 5 A flowchart of a network quality detection method provided by an embodiment of the application is shown. As shown in the flowchart, a single service quality detection and analysis node is taken as an execution subject, and the method of the embodiment can include the following steps: Figure 5

[0064] S101, obtaining service flow key information and service quality difference events from a service SLA sensing node.

[0065] The network quality detection system includes a service SLA sensing node, an infrastructure detection node and a single service quality detection and analysis node. The service SLA sensing node, the infrastructure detection node and the single service quality detection and analysis node are communicatively connected. The service flow key information is obtained by the service SLA sensing node from the collected user plane data flow. The service quality difference event is determined by the service SLA sensing node according to the service flow characteristics obtained from the user plane data flow.

[0066] S102, obtaining the performance and fault of the infrastructure in the service path corresponding to the service flow key information from the infrastructure detection node.

[0067] The basic device includes at least one of a 5G application terminal, a CPE (Customer Premise Equipment, wireless terminal access device), a 5G base station, a UPF-MEC (User Plane Function-Mobile Edge Computing), a firewall, a switch and an application cloud server.

[0068] S103, restoring the service path according to the service flow key information, and presenting the performance and fault of the basic device and the service quality difference event in the restored service path.

[0069] ​The single-service quality detection and analysis node acquires key information about the service flow, reconstructs the service path based on the key information, and binds the service SLA sensing node and infrastructure detection node through the service path to present the performance and failure of the infrastructure and poor service quality events in the service path.

[0070] The network quality detection method provided in this application obtains key information of service flow and poor service quality events from service SLA sensing nodes, obtains the performance and faults of basic equipment in the service path from infrastructure detection nodes, reconstructs the service path based on the key information of service flow, and binds service SLA sensing nodes and infrastructure detection nodes through the reconstructed service path to present the performance and faults of basic equipment in the service path and poor service quality events, thereby fully monitoring the entire picture of end-to-end service occurrence.

[0071] Figure 6 A schematic diagram of the hardware structure of an electronic device according to an embodiment of this application is shown. Figure 6 As shown, the electronic device 20 is used to implement the operation corresponding to the single service quality detection and analysis node in any of the above method embodiments. The electronic device 20 in this embodiment may include: a memory 21, a processor 22 and a communication interface 23.

[0072] The memory 21 is used to store computer instructions. The memory 21 may include high-speed random access memory (RAM) and may also include non-volatile memory (NVM), such as at least one disk storage device, and may also be a USB flash drive, external hard drive, read-only memory, disk or optical disc, etc.

[0073] Processor 22 is used to execute computer instructions stored in memory to implement the network quality detection method in the above embodiments. For details, please refer to the relevant descriptions in the foregoing method embodiments. The processor 22 can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. A general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in this invention can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules within the processor.

[0074] Alternatively, the memory 21 can be either standalone or integrated with the processor 22.

[0075] The communication interface 23 can be connected with the processor 22. The processor 22 can control the communication interface 23 to realize the function of receiving and sending signals.

[0076] The electronic device provided by the embodiment can be used to execute the network quality detection method described above, and the implementation manner and technical effects are similar. The embodiment will not be described here.

[0077] The application further provides a computer readable storage medium, which stores computer instructions. The computer instructions are executed by a processor to implement the method provided by the various embodiments.

[0078] The application further provides a computer program product, which includes computer instructions stored in a computer readable storage medium. At least one processor of a device can read the computer instructions from the computer readable storage medium, and the at least one processor executes the computer instructions to make the device implement the method provided by the various embodiments.

[0079] The application further provides a chip, which includes a memory and a processor. The memory is used to store computer instructions, and the processor is used to call and run the computer instructions from the memory, so that a device installed with the chip executes the method described in the various possible embodiments.

[0080] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the application are all information and data authorized by the user or authorized by all parties, and the collection, use and processing of related data need to comply with relevant laws, regulations and standards of countries and regions, and provide corresponding operation portal for user to choose authorization or refusal.

[0081] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the application, but not to limit them. Although the application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement to part or all of the technical features. The modification or replacement does not make the essence of the corresponding technical solution deviate from the scope of the technical solutions of the embodiments of the application.

Claims

1. A network quality detection system, characterized by, The application relates to a service SLA sensing node, an infrastructure detection node and a single-service quality detection and analysis node, wherein the service SLA sensing node, the infrastructure detection node and the single-service quality detection and analysis node are communicatively connected; the service SLA sensing node is used for collecting a user plane data stream, obtaining service flow key information and service flow characteristics from the user plane data stream, and determining a service quality difference event according to the service flow characteristics; the infrastructure detection node is used for monitoring the performance and faults of infrastructure equipment in a service path corresponding to the service flow key information; and the single-service quality detection and analysis node is used for restoring a service path according to the service flow key information, binding the service SLA sensing node and the infrastructure detection node through the restored service path, and presenting the performance and faults of infrastructure equipment in the service path and the service quality difference event. The service SLA sensing node comprises a user plane single bill performance analysis module and a service SLA perception evaluation module; the user plane single bill performance analysis module is used for collecting a user plane data stream, obtaining service flow key information and service flow characteristics from the user plane data stream, and determining a service quality difference event according to the service flow characteristics; and the service SLA perception evaluation module is used for generating a service quality difference warning according to a pre-established service SLA perception index degradation threshold and the service quality difference event. The user plane single bill performance analysis module is specifically used for configuring an SLA index according to an application protocol message, collecting a user plane data stream at an N3 / N4 port between a 5G access network side and a UPF side through a network traffic collection probe, obtaining service flow key information and service flow characteristics matched with the SLA index from the user plane data stream, and determining a service quality difference event according to the service flow characteristics; the service flow key information comprises client IP, client port, 5G wireless information, server IP and server port; and the SLA index comprises at least one of uplink and downlink rates, peak uplink and downlink rates, uplink and downlink RTT time delays, jitters, uplink and downlink packet losses, effective transmission time lengths and effective transmission traffics. The service SLA perception evaluation module is specifically used for setting a service SLA perception index degradation threshold according to a service type, and generating a service quality difference warning when the number of the service quality difference events exceeds the service SLA perception index degradation threshold; and the service type comprises at least one of eMBB service, uRRC service and mMTC service. The infrastructure detection node comprises a 5G application terminal diagnosis module and a 5G infrastructure network equipment performance monitoring module; the 5G application terminal diagnosis module is used for diagnosing application terminal network quality; and the 5G infrastructure network equipment performance monitoring module is used for monitoring the performance and faults of infrastructure equipment in a service path corresponding to the service flow key information.

2. The system of claim 1, wherein, The 5G application terminal diagnosis module is specifically used for issuing a test instruction to a network quality through a 5G wireless terminal management component to a CPE. ​ ​ 3. The system of claim 2, wherein, ​ ​ 4. The system of claim 2, wherein, ​ ​ 5. The system of claim 1, wherein, ​ ​ ​ 6. The system of claim 5, wherein, ​ The test includes at least one of an IP ping test, a route tracking test, a network bandwidth TCP / UDP upload and download test and a video service simulation test.

7. The system of claim 5, wherein, The 5G basic network equipment performance monitoring module is specifically configured to acquire the performance and faults of at least one of a 5G wireless base station, a bearer transmission network, a SA UPF-MEC, an application cloud server, a switch and a firewall.

8. The system of claim 1, wherein, The single-service quality detection and analysis node includes a service application SLA monitoring module and a service path network element monitoring module. The service application SLA monitoring module is configured to acquire the service flow key information. The service path network element monitoring module is configured to restore a service path according to the service flow key information, bind the service SLA sensing node and the infrastructure detection node through the service path, and present the performance and faults of basic equipment in the service path and service quality difference events.

9. The system of claim 8, wherein, The service application SLA monitoring module is specifically configured to acquire a service identity, and acquire the service flow key information according to the service identity.

10. The system of claim 9, wherein, The service path network element monitoring module is specifically configured to acquire service flow key information from the service application SLA monitoring module, identify the identity of an application terminal device, the identity of a CPE device, the identity of a 5G wireless base station device, the identity of a bearer transmission network device, the identity of a UPF device, the identity of a firewall device, the identity of a switch and the identity of an application cloud server through the service flow key information, restore a service path, and present the performance and faults of basic equipment in the service path and service quality difference events in the service path.

11. A network quality detection method characterized by comprising: A network quality detection system includes a service SLA sensing node, an infrastructure detection node and a single-service quality detection and analysis node, which are communicatively connected; a method for the single-service quality detection and analysis node, the method including: Acquiring service flow key information and service quality difference events from the service SLA sensing node, the service flow key information being acquired by the service SLA sensing node from collected user plane data flow, and the service quality difference events being determined by the service SLA sensing node according to service flow characteristics acquired from the user plane data flow; Acquiring the performance and faults of infrastructure in a service path corresponding to the service flow key information from the infrastructure detection node; Restoring a service path according to the service flow key information, and presenting the performance and faults of basic equipment and service quality difference events in the restored service path.

12. An electronic device, comprising: It includes: a processor, and a memory communicatively connected to the processor; the memory stores computer execution instructions; the processor executes the computer execution instructions stored in the memory to implement the network quality detection method of claim 11.

13. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer instructions, and the computer instructions are executed by the processor to implement the network quality detection method of claim 11.

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