5g base station network quality management method, device and equipment and readable storage medium

Abstract

A 5G base station network quality management method, device and equipment and readable storage medium, the 5G base station network quality management method includes: obtaining the iOAM detection data of the 5G base station to be detected;According to the iOAM detection data, the network quality index is calculated, when the network quality index exceeds the preset SLA index, the SLA alarm is generated;Multiple SLA alarms belonging to the same diagnostic cycle or alarm type or base station area are clustered into alarm group obstacles;According to the common route of multiple SLA alarms in the alarm group obstacle, the root cause network element device of the alarm group obstacle is determined;According to the key performance index and the key performance index type of the root cause network element device, the fault root cause of the alarm group obstacle is determined.Through the present application, the bearer network end can timely and effectively manage the network quality of the 5G base station based on the obtained iOAM detection data of the 5G base station to be detected, and can quickly locate the root cause of the fault.

Description

Technical Field

[0001] This application relates to the field of 5G network quality management technology, and in particular to a 5G base station network quality management method, apparatus, device and readable storage medium. Background Technology

[0002] With the rapid development of 5G technology, new mobile users have higher requirements for network quality. Guaranteed bandwidth, reliable latency, and real-time data analysis have become key supports for improving customer service efficiency.

[0003] However, since the service flow of 5G wireless base stations is the service object of the bearer network, rather than the network management resource of the bearer network itself, it is difficult for the bearer network to manage the network quality of 5G base stations in a timely and effective manner, and it is difficult to quickly locate the root cause of the fault. Summary of the Invention

[0004] This application provides a 5G base station network quality management method, apparatus, device, and readable storage medium, aiming to solve the technical problem that the bearer network has difficulty in timely and effectively managing the network quality of 5G base stations and in quickly locating the root cause of faults because the service flow of 5G wireless base stations is the service object of the bearer network, rather than the network management resource of the bearer network itself.

[0005] In a first aspect, embodiments of this application provide a 5G base station network quality management method, the 5G base station network quality management method comprising:

[0006] Obtain iOAM detection data of the 5G base station to be tested;

[0007] Network quality indicators are calculated based on iOAM detection data. When the network quality indicators exceed the preset SLA indicators, an SLA alarm is generated.

[0008] Multiple SLA alarms belonging to the same diagnostic cycle, alarm type, or base station area are clustered into alarm clusters.

[0009] Based on the common route of multiple SLA alarms in the alarm group fault, determine the root cause network element device of the alarm group fault;

[0010] Based on the key performance indicators (KPIs) and KPI types of the root cause network element, determine the root cause of alarm group failures.

[0011] Optionally, obtaining the iOAM detection data of the 5G base station to be detected includes:

[0012] Obtain the 5-tuple of the message reported by the bearer network side device;

[0013] Messages whose destination IP and the IP of the 5G base station to be tested are the same as the monitoring message;

[0014] By looking up the static routing table, the network element device through which the monitoring message is routed from the input port of the bearer network side device to the IP of the 5G base station to be detected is determined;

[0015] Configure iOAM on the network element devices that the monitoring messages are routed to;

[0016] Receive iOAM detection data of the 5G base station to be tested reported by the configured network element device.

[0017] Optionally, the iOAM detection data includes transmitted data and received data, and the network quality indicators calculated based on the iOAM detection data include:

[0018] Based on the sent and received data, the number of lost packets, packet loss rate, one-way delay, jitter, sender flow rate, and receiver flow rate are calculated.

[0019] Optionally, the SLA alarms are classified into signaling alarms and data alarms according to the signal type of the message. The SLA alarms are also classified into service interruption types, latency degradation types, and packet loss degradation types according to the number of lost packets, packet loss rate, one-way delay, jitter, sending flow rate, and receiving flow rate exceeding the preset SLA indicators.

[0020] Optionally, the common route includes the same network element, the same single board, and the same link. The step of determining the root cause network element device of an alarm group fault based on the common route of multiple SLA alarms in the alarm group fault includes:

[0021] According to the preset priority order, the root cause network element device of the alarm group is determined based on the common route of multiple SLA alarms in the alarm group. The preset priority order is as follows: the same link has the highest priority, the same single board has the second highest priority, and the same network element has the lowest priority.

[0022] Optionally, determining the root cause of alarm cluster failures based on the key performance indicators (KPIs) and KPI types of root cause network elements includes:

[0023] Multiple alarm groups containing key performance indicators of the same network element device are merged into one alarm group.

[0024] Key performance indicators whose generation time and the generation time of multiple SLA alarms in an alarm group belong to the same detection cycle are selected as key performance indicators to be analyzed.

[0025] The root cause of alarm cluster failures is determined based on the generation time sequence of the key performance indicators to be analyzed, the type of key performance indicators, their proximity to the hardware layer, and their position in the upstream and downstream of the business flow.

[0026] Optionally, after determining the root cause of the alarm group failure based on the key performance indicators and key performance indicator types of the root cause network element, the following steps are included:

[0027] If the root cause of the fault is a configuration-related issue, then the configuration should be modified accordingly.

[0028] If the root cause of the fault is a status-related reason, then the root cause of the fault will be output for maintenance personnel to handle.

[0029] Secondly, embodiments of this application provide a 5G base station network quality management device, the 5G base station network quality management device comprising:

[0030] The acquisition module is used to acquire the iOAM detection data of the 5G base station to be tested;

[0031] The calculation module is used to calculate network quality indicators based on iOAM detection data. When the network quality indicators exceed the preset SLA indicators, an SLA alarm is generated.

[0032] The clustering module is used to cluster multiple SLA alarms belonging to the same diagnostic cycle, alarm type, or base station area into alarm group faults;

[0033] The first determination module is used to determine the root cause network element of an alarm group based on the common route of multiple SLA alarms in the alarm group.

[0034] The second determination module is used to determine the root cause of alarm group failures based on the key performance indicators and key performance indicator types of the root cause network element devices.

[0035] Thirdly, this application provides a 5G base station network quality management device, which includes a processor, a memory, and a 5G base station network quality management program stored in the memory and executable by the processor. When the 5G base station network quality management program is executed by the processor, it implements the steps of the 5G base station network quality management method as described above.

[0036] Fourthly, embodiments of this application provide a readable storage medium storing a 5G base station network quality management program, wherein when the 5G base station network quality management program is executed by a processor, it implements the steps of the 5G base station network quality management method as described above.

[0037] The beneficial effects of the technical solutions provided in this application include:

[0038] In this embodiment, iOAM detection data of the 5G base station to be tested is obtained; network quality indicators are calculated based on the iOAM detection data; when the network quality indicators exceed the preset SLA indicators, an SLA alarm is generated; multiple SLA alarms belonging to the same diagnostic cycle, alarm type, or base station area are clustered into alarm group faults; the root cause network element of the alarm group fault is determined based on the common route of multiple SLA alarms in the alarm group fault; and the root cause of the alarm group fault is determined based on the key performance indicators and key performance indicator types of the root cause network element. Through the embodiments of this application, the management and control platform located at the bearer network end obtains the iOAM detection data of the 5G base station to be tested, calculates the network quality index, compares it with the preset SLA index of the 5G base station, generates SLA alarms, clusters multiple SLA alarms to obtain alarm group faults, and determines the root cause network element of the alarm group fault based on the common route of multiple SLA alarms in the alarm group fault, further determining the root cause of the alarm group fault, thereby enabling the bearer network end to manage the network quality of the 5G base station in a timely and effective manner, and to quickly locate the root cause of the fault. Attached Figure Description

[0039] Figure 1 This is a flowchart illustrating an embodiment of the 5G base station network quality management method of this application;

[0040] Figure 2 For this application Figure 1 A detailed flowchart of step S10;

[0041] Figure 3 This is a schematic diagram of the iOAM configuration process of an embodiment of the 5G base station network quality management method of this application;

[0042] Figure 4 This is a schematic diagram of 5G base station IP service traffic aggregation according to an embodiment of the 5G base station network quality management method of this application;

[0043] Figure 5 For this application Figure 1 A detailed flowchart of step S50;

[0044] Figure 6 This is a schematic diagram of the functional modules of an embodiment of the 5G base station network quality management device of this application;

[0045] Figure 7 This is a schematic diagram of the hardware structure of the 5G base station network quality management device involved in the embodiments of this application. Detailed Implementation

[0046] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present application.

[0047] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0048] In a first aspect, embodiments of this application provide a method for 5G base station network quality management.

[0049] In one embodiment, reference is made to Figure 1 , Figure 1 This is a flowchart illustrating an embodiment of the 5G base station network quality management method of this application, as shown below. Figure 1 As shown, the 5G base station network quality management methods include:

[0050] Step S10: Obtain iOAM detection data of the 5G base station to be tested.

[0051] In this embodiment, iOAM (In-band Operation, Administration, and Maintenance) is a network measurement and monitoring technology. It samples service traffic in real-time at high speed, adds iOAM information (metadata, including device ID, ingress / egress interfaces, timestamps, etc.) to the sampled data, and then actively sends the sampled data to an analyzer for analysis, achieving real-time perception and monitoring of network operating status. The management and control platform located at the bearer network end acquires the iOAM detection data of the 5G base stations to be tested. Based on the iOAM detection data, it performs network quality management on the 5G base stations to be tested. The management and control platform, also known as the management and control center or management and control system, is located at the bearer network end and has excellent computing performance advantages. There can be multiple 5G base stations to be tested, and the management and control platform performs network quality management on multiple 5G base stations to be tested based on the iOAM detection data of each 5G base station.

[0052] Step S20: Calculate the network quality index based on the iOAM detection data. When the network quality index exceeds the preset SLA index, generate an SLA alarm.

[0053] In this embodiment, the SLA (Service Level Agreement) is a contract or agreement signed by both parties (service provider and user), which regulates their business relationship or part of the business relationship. The management and control platform calculates network quality indicators based on the iOAM detection data of the 5G base station to be tested. iOAM technology monitors network status by adding iOAM information (metadata, including device ID, ingress / egress interface, timestamp, etc.) to the monitoring packets. The iOAM detection data of the 5G base station to be tested is divided into transmitted data and received data. Based on the transmitted and received data, the network quality indicators of the 5G base station to be tested can be calculated, such as packet loss, packet loss rate, one-way latency, jitter, sender flow rate, and receiver flow rate. By comparing the network quality indicators of the 5G base station to be tested with the preset SLA indicators, the network quality of the 5G base station to be tested can be judged. When the network quality indicators exceed the preset SLA indicators, an SLA alarm is generated, thereby realizing the visualized management and real-time early warning of the network quality of the 5G base station to be tested.

[0054] Step S30: Cluster multiple SLA alarms belonging to the same diagnostic cycle, alarm type, or base station area into alarm group faults.

[0055] In this embodiment, multiple SLA alarms belonging to the same diagnostic cycle, alarm type, or base station area are clustered into an alarm group. The root cause of the fault is then analyzed based on the alarm group to completely solve the problem of poor network quality. This avoids the problems of low accuracy and low efficiency in finding the root cause of each SLA alarm separately.

[0056] Step S40: Determine the root cause network element of the alarm group fault based on the common route of multiple SLA alarms in the alarm group fault.

[0057] In this embodiment, the common route shared by multiple SLA alarms in a certain alarm group is likely to be the root cause of the alarm group failure. Therefore, the root cause network element of the alarm group is determined based on the common route of multiple SLA alarms in the alarm group. For example, if the common route of multiple SLA alarms in a certain alarm group is a single board, then the single board is determined as the root cause network element of the alarm group.

[0058] Step S50: Determine the root cause of the alarm group failure based on the key performance indicators and key performance indicator types of the root cause network element.

[0059] In this embodiment, the Key Performance Indicators (KPIs) of the root cause network element are used to indicate the operating status of the root cause network element. The types of KPIs for root cause network elements can be categorized into connection KPIs, device KPIs, and operation KPIs. Connection KPIs include, for example, fiber optic cable interruptions; device KPIs include, for example, high CPU usage; and operation KPIs include, for example, high-risk operations obtained from operation logs. By analyzing the KPIs and KPI types of the root cause network element, the root cause of alarm cluster failures can be ultimately determined. The KPIs and KPI types of the root cause network element are shown in Table 1, and include, but are not limited to, those shown in Table 1.

[0060] Table 1.

[0061] KPI type KPIs of Root Cause Network Components Positioning objects equipment Network element communication interruption Net Element equipment Configuration recovery failed Network element, single disk equipment CPU overload Network element, single disk equipment Excessive memory usage Network element, single disk connect Laser transmission failure port connect Received traffic exceeding limit / Received traffic warning port connect Sending traffic exceeded limit / Sending traffic warning port connect Link interruption port

[0062] In this embodiment, the management and control platform located at the bearer network end acquires the iOAM detection data of the 5G base station to be tested. The iOAM detection data of the 5G base station to be tested is divided into transmitted data and received data. Based on the transmitted data and received data, the network quality indicators of the 5G base station to be tested can be calculated, such as packet loss count, packet loss rate, one-way latency, jitter, transmitting flow rate, and receiving flow rate. The network quality indicators of the 5G base station to be tested are compared with the preset SLA indicators of the 5G base station to be tested. When the network quality indicators exceed the preset SLA indicators, an SLA alarm is generated, thus realizing the 5G base station to be tested. Visualized management and real-time early warning of base station network quality further cluster multiple SLA alarms belonging to the same diagnostic cycle, alarm type, or base station area into an alarm group. Based on the common route of multiple SLA alarms in the alarm group, the root cause network element of the alarm group is determined. Based on the KPI and KPI type of the root cause network element, the root cause of the alarm group failure is finally determined through analysis. This enables the bearer network to manage the network quality of 5G base stations in a timely and effective manner, and to quickly locate the root cause of the failure, so as to completely solve the problem of poor network quality. In this embodiment, the management and control platform located at the bearer network end implements visualized management of the network quality of the 5G base station under test. When the 5G base station has poor network quality, the bearer network can perform self-verification based on the monitored network quality data. That is, the bearer network can determine whether the poor 5G network quality problem is caused by the bearer network based on the monitored network quality data. At the same time, it improves the network service management capability of the bearer network. Based on real-time visualized monitoring of network quality, it can manage and prevent network quality in advance. Furthermore, based on the effective management and monitoring of 5G base station network quality, it can provide personalized services for various types of specialized network services.

[0063] Furthermore, in one embodiment, reference is made to Figure 2 , Figure 2 For this application Figure 1 A detailed flowchart of step S10 is shown below. Figure 2 As shown, step S10 includes:

[0064] Step S101: Obtain the 5-tuple of the message reported by the bearer network side device;

[0065] Step S102: The message whose destination IP of the five-tuple is consistent with the IP of the 5G base station to be detected is used as the monitoring message;

[0066] Step S103: By looking up the static routing table, determine the network element device that the monitoring message is routed from the input port of the bearer network side device to the IP of the 5G base station to be detected;

[0067] Step S104: Configure iOAM for the network element devices routed by the monitoring messages;

[0068] Step S105: Receive the iOAM detection data of the 5G base station to be detected reported by the configured network element device.

[0069] In this embodiment, the bearer network side devices, such as NPE devices (Network Provider Edge), are core side devices of the bearer network. IOAM configuration based on NPE devices has the advantages of simple configuration and a small number of NPE devices required for configuration. (Refer to...) Figure 3 , Figure 3 This is a schematic diagram of the iOAM configuration process of an embodiment of the 5G base station network quality management method of this application, as shown below. Figure 3 As shown, the management platform sends a whitelist of 5G base stations to be monitored to the NPE device on the bearer network side. The NPE device learns the IP flow and reports the five-tuples that match the packets in the whitelist to the management platform. The management platform further uses packets whose destination IP and the IP of the 5G base station to be monitored are the monitoring packets. By looking up the static routing table, it determines all network element devices that the monitoring packets are routed from the input port of the bearer network device to the IP of the 5G base station to be monitored. The management platform sends iOAM configuration to all network element devices that are routed by the monitoring packets. After configuration, the network element devices report the iOAM detection data of the 5G base station to be monitored to the management platform. (Refer to...) Figure 4 , Figure 4 This is a schematic diagram of 5G base station IP service traffic aggregation, representing an embodiment of the 5G base station network quality management method of this application. Figure 4 As shown, the management platform aggregates IP service flows from the 5G base station to the core network by configuring a whitelist on the NPE device on the bearer network side. Figure 4On the left side of the image, the IP service flow of the base station is disordered in the bearer network before the aggregation mentioned above. The bearer network has difficulty focusing on the IP service flow of the 5G base station under test, thus making it impossible to further manage the network quality of the 5G base station under test. Figure 4 After the above aggregation, the IP service flow of the base station on the right is orderly in the bearer network, so that the network element equipment for routing the IP service flow of the 5G base station to be tested can be further configured with iOAM, thereby enabling network quality management of the 5G base station to be tested.

[0070] Further, in one embodiment, the iOAM detection data includes transmitted data and received data, and step S20 includes:

[0071] Based on the sent and received data, the number of lost packets, packet loss rate, one-way delay, jitter, sender flow rate, and receiver flow rate are calculated.

[0072] In this embodiment, received data is represented by Rx, and transmitted data is represented by Tx. Both received data Rx and transmitted data Tx include indicators such as packets, timestamp, and bytes. The network quality indicators packet loss, packet loss rate, one-way latency, jitter, sender flow rate, and receiver flow rate are calculated as follows: Packet loss: Rx.packs - Tx.packs, Packet loss rate: (Rx.packs - Tx.packs) / Rx.packs, One-way latency (ns): Tx.timestamp - Rx.timestamp, Jitter is the statistical average of the latency differences between consecutive time-segmented data, Sender flow rate (Mbps): (Tx.bytes + 20 * Tx.packs) * 8bit / 1000000, Receiver flow rate (Mbps): (Rx.bytes + 20 * Rx.packs) * 8bit / 1000000.

[0073] Furthermore, in one embodiment, the SLA alarm is divided into signaling alarm type and data alarm type according to the signal type of the message, and the SLA alarm is divided into service interruption type, latency degradation type and packet loss degradation type according to the number of lost packets, packet loss rate, one-way delay, jitter, sending flow rate and receiving flow rate exceeding the range of preset SLA indicators.

[0074] In this embodiment, various signals are transmitted in the network. Some of these are the signals we need (such as voice messages on a phone call, data packets for internet access, etc.), which can be called data types. Others are signals we don't directly need, used for dedicated control circuits; these are called signaling types. SLA alarms are classified according to the signal type of the message and according to the number of lost packets, packet loss rate, one-way delay, jitter, and whether the sending and receiving flow rates exceed the preset SLA indicators. This allows for clustering multiple SLA alarms by alarm type, that is, clustering multiple SLA alarms belonging to the same alarm type into an alarm group, which is more conducive to the root cause analysis of SLA alarm failures.

[0075] Further, in one embodiment, the common route includes the same network element, the same single disk, and the same link, and step S40 includes:

[0076] According to the preset priority order, the root cause network element device of the alarm group is determined based on the common route of multiple SLA alarms in the alarm group. The preset priority order is as follows: the same link has the highest priority, the same single board has the second highest priority, and the same network element has the lowest priority.

[0077] In this embodiment, based on the network structure and equipment structure of the bearer network, the common routes of multiple SLA alarms can be divided into those within the same network element, those within the same single board, and those within the same link. Following the order of highest priority for those within the same link, followed by those within the same single board, and lowest priority for those within the same network element, the root cause network element of the alarm group is determined based on the common routes of multiple SLA alarms within the alarm group. That is, if the common route of multiple SLA alarms in a certain alarm group is a common link, then that common link is taken as the root cause network element of the alarm group, without needing to consider those within the same single board or the same link. If multiple SLA alarms share a common route but no common link, then their common single board should be considered. If multiple SLA alarms share a common single board, then their common network element need not be considered. If multiple SLA alarms share a common route but no common link or single board, then their common network element is finally taken as the root cause network element device of the alarm group failure. Thus, based on the network structure and equipment structure of the bearer network, combined with the common route of multiple SLA alarms in the alarm group failure, the root cause network element device of the alarm group failure can be determined more accurately.

[0078] Furthermore, in one embodiment, reference is made to Figure 5 , Figure 5 For this application Figure 1 A detailed flowchart of step S50 is shown below. Figure 5 As shown, step S50 includes:

[0079] Step S501: Merge multiple alarm groups containing key performance indicators of the same network element into one alarm group.

[0080] Step S502: The key performance indicators whose generation time and the generation time of multiple SLA alarms in the alarm group belong to the same detection cycle are selected as the key performance indicators to be analyzed.

[0081] Step S503: Determine the root cause of alarm group failures based on the generation time sequence of the key performance indicators to be analyzed, the type of key performance indicators, their proximity to the hardware layer, and their position in the upstream and downstream of the business flow.

[0082] In this embodiment, the same network element device may carry different services, and the same network element device KPI may participate in the analysis of multiple service scenarios simultaneously. This results in a network element device KPI potentially belonging to multiple alarm groups. Furthermore, parallel analysis of multiple algorithms and rules within the same service scenario also leads to a network element device KPI potentially belonging to multiple alarm groups. Therefore, merging multiple alarm groups containing the same network element device KPI into a single alarm group ensures that a network element device KPI belongs to only one group, thereby effectively improving the efficiency of finding the root cause of alarm group failures. The network element device KPI is time-sliced ​​based on the detection period (e.g., 30 seconds per detection period). The network element device KPI, alarm groups, and SLA alarms are time-related. KPIs of network elements devices not in the same time sequence are less likely to be associated with alarm groups and SLA alarms. Therefore, using key performance indicators whose generation time and the generation time of multiple SLA alarms in an alarm group belong to the same detection period as the key performance indicators to be analyzed can improve the accuracy of determining the root cause of alarm group failures. The specific rules for determining the root cause of alarm cluster failures based on the generation time sequence, type of key performance indicators (KPIs), proximity to the hardware layer, and position in the upstream and downstream of the business flow are as follows: Generation time sequence of KPIs: KPIs that occur earlier are more likely to be the root cause of alarm cluster failures. KPI type: KPIs with equipment anomalies are more likely to be the root cause of alarm cluster failures than those with business anomalies. Proximity to the hardware layer: KPIs closer to the hardware layer are more likely to be the root cause of alarm cluster failures. Position in the upstream and downstream of the business flow: KPIs further upstream are more likely to be the root cause of alarm cluster failures. Based on these rules, an algorithm is set to mine and determine the root cause of alarm cluster failures.

[0083] Further, in one embodiment, after step S50, the following is included:

[0084] If the root cause of the fault is a configuration-related issue, then the configuration should be modified accordingly.

[0085] If the root cause of the fault is a status-related reason, then the root cause of the fault will be output for maintenance personnel to handle.

[0086] In this embodiment, if the root cause of the fault is a configuration-related issue, the alarm cluster problem can be resolved by modifying the configuration. If the root cause of the fault is a status-related issue, the specific root cause of the fault will be output, and the maintenance personnel can refer to the output specific root cause of the fault to perform corresponding processing.

[0087] Secondly, embodiments of this application also provide a 5G base station network quality management device.

[0088] In one embodiment, reference is made to Figure 6 , Figure 6 This is a functional module diagram of an embodiment of the 5G base station network quality management device of this application, as shown below. Figure 6 As shown, the 5G base station network quality management device includes:

[0089] The acquisition module 10 is used to acquire the iOAM detection data of the 5G base station to be detected;

[0090] The calculation module 20 is used to calculate network quality indicators based on iOAM detection data. When the network quality indicators exceed the preset SLA indicators, an SLA alarm is generated.

[0091] Clustering module 30 is used to cluster multiple SLA alarms belonging to the same diagnostic cycle, alarm type, or base station area into alarm group faults;

[0092] The first determination module 40 is used to determine the root cause network element device of the alarm group fault based on the common route of multiple SLA alarms in the alarm group fault.

[0093] The second determination module 50 is used to determine the root cause of alarm group failures based on the key performance indicators and key performance indicator types of the root cause network element devices.

[0094] Furthermore, in one embodiment, the acquisition module 10 is used for:

[0095] Obtain the 5-tuple of the message reported by the bearer network side device;

[0096] Messages whose destination IP and the IP of the 5G base station to be tested are the same as the monitoring message;

[0097] By looking up the static routing table, the network element device through which the monitoring message is routed from the input port of the bearer network side device to the IP of the 5G base station to be detected is determined;

[0098] Configure iOAM on the network element devices that the monitoring messages are routed to;

[0099] Receive iOAM detection data of the 5G base station to be tested reported by the configured network element device.

[0100] Furthermore, in one embodiment, the iOAM detection data includes transmitted data and received data, and the calculation module 20 is used for:

[0101] Based on the sent and received data, the number of lost packets, packet loss rate, one-way delay, jitter, sender flow rate, and receiver flow rate are calculated.

[0102] Furthermore, in one embodiment, the SLA alarm is divided into signaling alarm type and data alarm type according to the signal type of the message, and the SLA alarm is divided into service interruption type, latency degradation type and packet loss degradation type according to the number of lost packets, packet loss rate, one-way delay, jitter, sending flow rate and receiving flow rate exceeding the range of preset SLA indicators.

[0103] Furthermore, in one embodiment, the common route includes the same network element, the same single disk, and the same link. The first determining module 40 is used for:

[0104] According to the preset priority order, the root cause network element device of the alarm group is determined based on the common route of multiple SLA alarms in the alarm group. The preset priority order is as follows: the same link has the highest priority, the same single board has the second highest priority, and the same network element has the lowest priority.

[0105] Furthermore, in one embodiment, the second determining module 50 is used for:

[0106] Multiple alarm groups containing key performance indicators of the same network element device are merged into one alarm group.

[0107] Key performance indicators whose generation time and the generation time of multiple SLA alarms in an alarm group belong to the same detection cycle are selected as key performance indicators to be analyzed.

[0108] The root cause of alarm cluster failures is determined based on the generation time sequence of the key performance indicators to be analyzed, the type of key performance indicators, their proximity to the hardware layer, and their position in the upstream and downstream of the business flow.

[0109] Furthermore, in one embodiment, the 5G base station network quality management device further includes a fault handling module, used for:

[0110] If the root cause of the fault is a configuration-related issue, then the configuration should be modified accordingly.

[0111] If the root cause of the fault is a status-related reason, then the root cause of the fault will be output for maintenance personnel to handle.

[0112] The functions of each module in the aforementioned 5G base station network quality management device correspond to the steps in the aforementioned 5G base station network quality management method embodiment, and their functions and implementation processes will not be described in detail here.

[0113] Thirdly, embodiments of this application provide a 5G base station network quality management device.

[0114] Reference Figure 7 , Figure 7 This is a schematic diagram of the hardware structure of the 5G base station network quality management device involved in the embodiments of this application. In this embodiment, the 5G base station network quality management device may include a processor, a memory, a communication interface, and a communication bus.

[0115] The communication bus can be of any type and is used to interconnect the processor, memory, and communication interface.

[0116] The communication interface includes input / output (I / O) interfaces, physical interfaces, and logical interfaces used for interconnecting internal components of the 5G base station network quality management equipment, as well as interfaces used for interconnecting the 5G base station network quality management equipment with other devices (such as other computing devices or user equipment). Physical interfaces can be Ethernet interfaces, fiber optic interfaces, ATM interfaces, etc.; user equipment can be displays, keyboards, etc.

[0117] Memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0118] The processor can be a general-purpose processor, which can call the 5G base station network quality management program stored in the memory and execute the 5G base station network quality management method provided in the embodiments of this application. For example, the general-purpose processor can be a central processing unit (CPU). The method executed when the 5G base station network quality management program is called can be referred to in the various embodiments of the 5G base station network quality management method of this application, and will not be repeated here.

[0119] Those skilled in the art will understand that Figure 7 The hardware structure shown does not constitute a limitation of this application and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0120] Fourthly, embodiments of this application also provide a readable storage medium.

[0121] The present application has a 5G base station network quality management program stored on a readable storage medium, wherein when the 5G base station network quality management program is executed by a processor, it implements the steps of the 5G base station network quality management method described above.

[0122] The method implemented when the 5G base station network quality management program is executed can be referred to in the various embodiments of the 5G base station network quality management method of this application, and will not be repeated here.

[0123] It should be noted that the sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0124] The terms "comprising" and "having," and any variations thereof, in the specification, claims, and accompanying drawings of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to such process, method, product, or apparatus. The terms "first," "second," and "third," etc., are used to distinguish different objects, etc., and do not indicate a sequence, nor do they limit "first," "second," and "third" to different types.

[0125] In the description of the embodiments of this application, terms such as "exemplary," "for example," or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as "exemplary," "for example," or "for instance" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of terms such as "exemplary," "for example," or "for instance" is intended to present the relevant concepts in a concrete manner.

[0126] In the description of the embodiments of this application, unless otherwise stated, " / " means "or". For example, A / B can mean A or B. The "and / or" in the text is merely a description of the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist simultaneously, and B exists alone. In addition, in the description of the embodiments of this application, "multiple" means two or more.

[0127] In some processes described in the embodiments of this application, multiple operations or steps are included in a specific order. However, it should be understood that these operations or steps may not be executed in the order they appear in the embodiments of this application, or they may be executed in parallel. The sequence number of the operation is only used to distinguish different operations, and the sequence number itself does not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed sequentially or in parallel, and these operations or steps may be combined.

[0128] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes several instructions to cause a terminal device to execute the methods described in the various embodiments of this application.

[0129] The above are merely preferred embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

Claims

1. A 5G base station network quality management method, characterized by, The 5G base station network quality management method comprises: Obtaining iOAM detection data of a 5G base station to be detected; Calculating network quality indexes according to the iOAM detection data, and generating SLA alarms when the network quality indexes exceed preset SLA indexes; Clustering multiple SLA alarms belonging to the same diagnostic cycle, alarm type or base station area into an alarm group obstacle; Determining root cause network element equipment of the alarm group obstacle according to common routes of the multiple SLA alarms in the alarm group obstacle; Determining a fault root cause of the alarm group obstacle according to key performance indicators and key performance indicator types of the root cause network element equipment; The common routes comprise the same network element, the same single disk and the same link, and the determination of the root cause network element equipment of the alarm group obstacle according to the common routes of the multiple SLA alarms in the alarm group obstacle comprises: According to a preset priority order, the root cause network element equipment of the alarm group obstacle is determined according to the common routes of the multiple SLA alarms in the alarm group obstacle, and the preset priority order is that the same link has the highest priority, the same single disk has the second priority, and the same network element has the lowest priority; The determination of the fault root cause of the alarm group obstacle according to the key performance indicators and the key performance indicator types of the root cause network element equipment comprises: Multiple alarm group obstacles containing key performance indicators of the same network element are merged into one alarm group obstacle; Key performance indicators with generation times belonging to the same detection cycle as generation times of the multiple SLA alarms in the alarm group obstacle are taken as key performance indicators to be analyzed; The fault root cause of the alarm group obstacle is determined according to a generation time sequence of the key performance indicators to be analyzed, key performance indicator types, a distance relationship with a hardware layer and a position in an upstream and downstream of a service flow. 2.The 5G base station network quality management method of claim 1, wherein, The obtaining of the iOAM detection data of the 5G base station to be detected comprises: Obtaining five-tuples of messages reported by a bearer network side device; Taking messages with a same destination IP as an IP of the 5G base station to be detected as monitoring messages; Determining network element equipment routed by the monitoring messages from an input port of the bearer network side device to the IP of the 5G base station to be detected by searching a static routing table; Performing iOAM configuration on the network element equipment routed by the monitoring messages; Receiving iOAM detection data of the 5G base station to be detected reported by the configured network element equipment. 3.The 5G base station network quality management method of claim 1, wherein, The iOAM detection data comprises sending data and receiving data, and the calculation of the network quality indexes according to the iOAM detection data comprises: According to the sending data and the receiving data, packet loss number, packet loss rate, one-way delay, jitter, sending flow rate and receiving flow rate are calculated. 4.The 5G base station network quality management method of claim 3, wherein, The SLA alarms are divided into signaling alarm types and data alarm types according to signal types of the messages, and the SLA alarms are divided into service interruption types, delay degradation types and packet loss degradation types according to ranges in which packet loss number, packet loss rate, one-way delay, jitter, sending flow rate and receiving flow rate exceed preset SLA indexes. 5.The 5G base station network quality management method of claim 1, wherein, After the determination of the fault root cause of the alarm group obstacle according to the key performance indicators and the key performance indicator types of the root cause network element equipment, the method further comprises: If the fault root cause is a configuration type, modifying the configuration according to the fault root cause; If the fault root cause is a state type, outputting the fault root cause for processing by an operation and maintenance personnel. 6.A 5G base station network quality management apparatus, characterized by comprising: The 5G base station network quality management device comprises: An acquisition module configured to acquire iOAM detection data of a 5G base station to be detected; A calculation module configured to calculate network quality indexes according to the iOAM detection data, and generate SLA alarms when the network quality indexes exceed preset SLA indexes; A clustering module configured to cluster multiple SLA alarms belonging to the same diagnosis cycle, alarm type or base station area into an alarm group; A first determination module configured to determine root cause network element devices of the alarm group according to common routes of the multiple SLA alarms in the alarm group; A second determination module configured to determine fault root causes of the alarm group according to key performance indicators and key performance indicator types of the root cause network element devices; The common routes comprise the same network element, the same single disk and the same link, and the first determination module is configured to: Determine the root cause network element devices of the alarm group according to the common routes of the multiple SLA alarms in the alarm group in a preset priority order, wherein the preset priority order is that the same link has the highest priority, the same single disk has the second highest priority, and the same network element has the lowest priority; The second determination module is configured to: Merge multiple alarm groups containing the same key performance indicators of the same network element device into one alarm group; Determine key performance indicators as to-be-analyzed key performance indicators when the generation time of the key performance indicators and the generation time of the multiple SLA alarms in the alarm group belong to the same detection cycle; Determine the fault root causes of the alarm group according to the generation time order of the to-be-analyzed key performance indicators, the key performance indicator types, the proximity relationship with the hardware layer and the position in the upstream and downstream of the service flow. 7.A 5G base station network quality management device, characterized by comprising: The 5G base station network quality management device comprises a processor, a memory and a 5G base station network quality management program stored in the memory and executable by the processor, wherein when the 5G base station network quality management program is executed by the processor, the steps of the 5G base station network quality management method according to any one of claims 1 to 5 are implemented.

8. A readable storage medium, characterized by, The readable storage medium stores a 5G base station network quality management program, wherein when the 5G base station network quality management program is executed by the processor, the steps of the 5G base station network quality management method according to any one of claims 1 to 5 are implemented.

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