Communication quality monitoring method and system of communication network

Abstract

The invention discloses a communication quality monitoring method and system of a communication network, and relates to the technical field of communication analysis, and the method comprises the steps: analyzing the basic information of communication network scenes, and setting the communication tolerance of each communication network scene; the communication tolerance of each communication network scene is evaluated by considering the basic topological structure and service requirements in the communication network scene, and the standard of the communication network scene is established, so that a reliable basis is provided for subsequent communication quality monitoring. And a stable communication network scene and an unstable communication network scene are divided. The communication quality monitoring of a stable communication network scene is realized by comparing the communication tolerance for the stable communication network scene, and the communication quality monitoring of an unstable communication network scene is realized by comparing the communication tolerance in combination with a multi-dimensional quality parameter and a network adjustment coping parameter for the unstable communication network scene. The accuracy and adaptability of communication quality monitoring are improved, and the stability and reliability of network communication are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of communication analysis, and in particular to a method and system for monitoring the communication quality of a communication network. Background Art

[0002] Amid the rapid development of emerging technologies such as 5G, the Internet of Things, and the Industrial Internet, communication networks are facing challenges of increasing complexity, dynamism, and high real-time performance. Traditional communication quality monitoring solutions are often designed for stable network environments, relying on fixed thresholds and single parameter evaluations (such as latency and packet loss rate). These solutions struggle to adapt to network fluctuations in unstable scenarios (such as signal interference, frequent topology changes, and traffic bursts). Existing technologies lack quantitative assessment of the network's dynamic adjustment capabilities, such as real-time monitoring of switching strategies, route optimization, or adaptive QoS adjustments.

[0003] In the existing technology, the communication quality monitoring methods for stable and unstable network scenarios are relatively fixed, and monitoring is performed based only on a single parameter, resulting in poor accuracy and adaptability of communication quality monitoring, and failure to ensure stable and reliable network communications.

[0004] Therefore, how to improve the accuracy and adaptability of communication quality monitoring is a technical problem that needs to be solved. Summary of the Invention

[0005] The purpose of the present invention is to solve the problem of poor accuracy and adaptability of communication quality monitoring in the prior art, and to propose a communication quality monitoring method for a communication network, which includes: Collect all communication network scenarios and basic information about them, analyze the basic information about them and set the communication tolerance for each scenario; Monitor the changing elements of communication network scenarios and classify them into two categories: stable communication network scenarios and unstable communication network scenarios; For stable communication network scenarios, monitor and integrate multi-dimensional quality parameters and compare communication tolerance to achieve communication quality monitoring for stable communication network scenarios. For unstable communication network scenarios, multi-dimensional quality parameters and network adjustment response parameters are monitored. By combining these parameters, communication tolerance is compared to achieve communication quality monitoring for unstable communication network scenarios.

[0006] In some embodiments of the present application, analyzing basic information of a communication network scenario to set a communication tolerance for each communication network scenario includes: Basic information about the communication network scenario includes topology, device type, coverage, and service requirements. Several core KPIs for the network communication scenario are determined, and the priority of each core KPI is determined based on service requirements. Based on the topology structure, device type, and coverage range, the core KPI intervals for each scenario corresponding to the three are determined respectively. The upper and lower limits of the core KPIs for the same scenario corresponding to the three are determined respectively based on the comprehensive topology structure, device type, and coverage range. The core KPIs of all scenarios are then secondary integrated based on the priority of each scenario's core KPI to set the communication tolerance for each communication network scenario.

[0007] In some embodiments of the present application, the upper and lower limits of the core KPIs of the same scenario corresponding to the topology structure, device type, and coverage are determined respectively, including: Statistics are obtained for the topology structure, device type, and coverage range to determine the intersection and union of the core KPI intervals of the same scenario corresponding to the three. The intersection of the core KPI intervals of the same scenario is used as the lower limit of the core KPI of the scenario, and the union of the core KPI intervals of the same scenario is used as the upper limit of the core KPI of the scenario.

[0008] In some embodiments of the present application, the core KPIs of all scenarios are secondary integrated according to the priority of the core KPI of each scenario, and the communication tolerance of each communication network scenario is set, including: The upper and lower limits of the core KPI of each scenario are evaluated for tolerance to obtain the single-core tolerance. The tolerance weights of the core KPIs of different scenarios are assigned according to their priorities. The communication tolerance of each communication network scenario is set based on the single-core tolerance.

[0009] In some embodiments of the present application, two types of scenarios are divided into stable communication network scenarios and unstable communication network scenarios, including: Obtain historical records of all communication network scenarios, extract the communication mode of each communication network scenario from the historical records, and expand the communication mode in chronological order to obtain a communication mode data axis; The data change segment of each changing element is extracted on the communication mode data axis, and several changing parameters are determined on the data change segment of the changing element. The change rate of each changing parameter is calculated, and the change rates of all changing parameters under the same changing element are integrated and recorded as volatility. A volatility change curve over time is constructed, and the volatility change curve is split into multiple curve segments. The average volatility of each curve segment is calculated, and the sliding time window length of each curve segment time is set according to the volatility average. The standard change rate of the changing parameter in the sliding time window is recalculated, and the standard change rate of the changing parameter under all curve segment time is comprehensively considered to divide the scenarios into two categories: stable communication network scenarios and unstable communication network scenarios.

[0010] In some embodiments of the present application, multi-dimensional quality parameters are integrated and compared with communication tolerance to achieve communication quality monitoring in stable communication network scenarios, including: The multi-dimensional quality parameters are integrated to determine the current tolerance of the stable communication network scenario, and the first communication quality indicator of the stable communication network scenario is calculated according to the current tolerance and communication tolerance of the determined communication network scenario, so as to realize the communication quality monitoring of the stable communication network scenario.

[0011] In some embodiments of the present application, the communication quality monitoring of unstable communication network scenarios is achieved by combining multi-dimensional quality parameters and network adjustment response parameters and comparing communication tolerance, including: Unstable communication network scenarios exist in two states: stable and unstable; In a stable state of the unstable communication network scenario, calculating a first communication quality indicator of the unstable communication network scenario based on the multi-dimensional quality parameters to describe the communication quality in the stable state; In an unstable state of an unstable communication network scenario, a second communication quality indicator of the unstable communication network scenario is determined by combining the first communication quality indicator and the network adjustment response parameter to describe the communication quality in the unstable state.

[0012] In some embodiments of the present application, the second communication quality indicator of the unstable communication network scenario is determined by combining the first communication quality indicator and the network adjustment response parameter, including: A second communication quality indicator for an unstable communication network scenario is determined based on the first communication quality indicator, a rate of change of the multi-dimensional quality parameter, and a network adjustment response parameter.

[0013] Correspondingly, the present application also provides a communication quality monitoring system for a communication network, comprising: The first module is used to collect all communication network scenarios and basic information of the communication network scenarios, analyze the basic information of the communication network scenarios and set the communication tolerance of each communication network scenario; The second module is used to monitor the changing elements of the communication network scenario and divide it into two categories: stable communication network scenario and unstable communication network scenario; The third module is used to monitor multi-dimensional quality parameters for stable communication network scenarios, integrate multi-dimensional quality parameters, and compare communication tolerance to achieve communication quality monitoring for stable communication network scenarios; The fourth module is used to monitor multi-dimensional quality parameters and network adjustment response parameters for unstable communication network scenarios. By combining the multi-dimensional quality parameters and network adjustment response parameters, the communication tolerance is compared to realize communication quality monitoring for unstable communication network scenarios.

[0014] Compared with the prior art, the present invention has the following beneficial effects: 1. Analyze the basic information of communication network scenarios and set the communication tolerance for each scenario. Consider the basic topology and business requirements of the communication network scenario to evaluate the communication tolerance of each scenario. Establish standards for each scenario and provide a reliable foundation for subsequent communication quality monitoring. Categorize two types of scenarios: stable and unstable. Consider the changing elements in the scenario to categorize the scenarios, thereby implementing different communication quality monitoring solutions for each type of scenario.

[0015] 2. For stable communication network scenarios, communication quality monitoring is achieved by comparing communication tolerance. For unstable communication network scenarios, communication quality monitoring is achieved by combining multi-dimensional quality parameters and network adjustment response parameters and comparing communication tolerance. This improves the accuracy and adaptability of communication quality monitoring, ensures the stability and reliability of network communication, and enhances the user's communication experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A flow chart of a method for monitoring the communication quality of a communication network proposed by the present invention; Figure 2 This is a structural diagram of a communication quality monitoring system for a communication network proposed by the present invention. DETAILED DESCRIPTION

[0017] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0018] Reference Figure 1 , a communication quality monitoring method of a communication network, comprising the following steps: Step S101: Collect all communication network scenarios and basic information of the communication network scenarios, analyze the basic information of the communication network scenarios, and set the communication tolerance of each communication network scenario.

[0019] In this embodiment, basic information includes basic communication network information such as topology, device type, coverage, and business requirements. Considering this basic communication network information, a more reasonable communication tolerance is set (the maximum allowable performance fluctuation of the communication network to maintain normal business operation in a specific scenario).

[0020] In some embodiments of the present application, analyzing basic information of a communication network scenario to set a communication tolerance for each communication network scenario includes: Basic information about the communication network scenario includes topology, device type, coverage, and service requirements. Several core KPIs for the network communication scenario are determined, and the priority of each core KPI is determined based on service requirements. Based on the topology structure, device type, and coverage range, the core KPI intervals for each scenario corresponding to the three are determined respectively. The upper and lower limits of the core KPIs for the same scenario corresponding to the three are determined respectively based on the comprehensive topology structure, device type, and coverage range. The core KPIs of all scenarios are then secondary integrated based on the priority of each scenario's core KPI to set the communication tolerance for each communication network scenario.

[0021] In this embodiment, the topology includes star, ring, mesh, hybrid, etc.

[0022] Equipment type: base station, router, switch, terminal equipment, etc.

[0023] Coverage: Local Area Network (LAN), Metropolitan Area Network (MAN), Wide Area Network (WAN), cellular network, etc. (can also be a specific physical distance).

[0024] Business needs: voice calls, video streaming, IoT data transmission, industrial control, etc.

[0025] Core KPIs (performance indicators) for scenarios include latency, packet loss, and bandwidth. The topology, device type, and coverage range have different requirements for core KPIs.

[0026] Different business needs have different priority requirements for the core KPIs of the scenario. This information will affect the setting of communication tolerance. The communication tolerance in different scenarios should be set considering the topology, device type, coverage range and business needs.

[0027] Determine the core KPI priorities based on business needs. For example: Video streaming service: latency (high priority), packet loss rate (high priority), and bandwidth (medium priority).

[0028] IoT data transmission: packet loss rate (high priority), latency (medium priority), and bandwidth (low priority).

[0029] In some embodiments of the present application, the upper and lower limits of the core KPIs of the same scenario corresponding to the topology structure, device type, and coverage are determined respectively, including: Statistics are obtained for the topology structure, device type, and coverage range to determine the intersection and union of the core KPI intervals of the same scenario corresponding to the three. The intersection of the core KPI intervals of the same scenario is used as the lower limit of the core KPI of the scenario, and the union of the core KPI intervals of the same scenario is used as the upper limit of the core KPI of the scenario.

[0030] In this embodiment, examples include: star topology (such as home Wi-Fi), mesh topology (such as the Industrial Internet of Things), and tree topology (such as enterprise campus networks). Core KPIs include: latency (ms), packet loss rate (%), and throughput (Mbps). Star topology: low latency (<10ms), high throughput (>100Mbps). Mesh topology: higher latency (<50ms), low packet loss rate (<0.1%). Industrial sensors: low power consumption (<10mW), high stability (<1 time / 24 hours). Autonomous vehicles: high data update frequency (>100Hz), low latency (<1ms). Indoor coverage: high signal strength (>-60dBm), small coverage radius (<100m). Satellite communications: large coverage radius (>1000km), low signal strength (<-110dBm).

[0031] In the same scenario, the minimum common range of the core KPI intervals of the topology, device, and coverage is used as the lower limit (intersection). In the same scenario, the maximum coverage range of the core KPI intervals of the topology, device, and coverage is used as the upper limit (union).

[0032] In some embodiments of the present application, the core KPIs of all scenarios are secondary integrated according to the priority of the core KPI of each scenario, and the communication tolerance of each communication network scenario is set, including: The upper and lower limits of the core KPI of each scenario are evaluated for tolerance to obtain the single-core tolerance. The tolerance weights of the core KPIs of different scenarios are assigned according to their priorities. The communication tolerance of each communication network scenario is set based on the single-core tolerance.

[0033] In this embodiment, the formula for communication tolerance in the communication network scenario is as follows: ; in, For the Communication tolerance of a communication network scenario, is the number of core KPIs for the scenario, For the The tolerance weight of the core KPI of each scenario, For the Communication network scenario Single-core tolerance of the core KPI of each scenario, Indicates the maximum value of the core KPIs of all scenarios. For the The first constant of a communication network scenario, Indicates the correction of the maximum value to the average value. The first constant is to balance the size of the correction function.

[0034] Step S102 : monitoring the changing elements of the communication network scenario, and classifying the scenarios into two categories: a stable communication network scenario and an unstable communication network scenario.

[0035] In this embodiment, the changing elements include changes in user behavior, network equipment, network environment, and service requirements (these elements that may change in the communication network scenario have a fluctuating impact on communication monitoring), including but not limited to: User behavior data: number of user connections, traffic distribution, session duration, and service type (such as video, voice, and data).

[0036] Network device data: device load, fault records, configuration changes, and topology changes.

[0037] Network environment data: signal strength, interference level, packet loss rate, and latency.

[0038] Business demand data: QoS requirements, bandwidth requirements, and priority changes.

[0039] In some embodiments of the present application, two types of scenarios are divided into stable communication network scenarios and unstable communication network scenarios, including: Obtain historical records of all communication network scenarios, extract the communication mode of each communication network scenario from the historical records, and expand the communication mode in chronological order to obtain a communication mode data axis; The data change segment of each changing element is extracted on the communication mode data axis, and several changing parameters are determined on the data change segment of the changing element. The change rate of each changing parameter is calculated, and the change rates of all changing parameters under the same changing element are integrated and recorded as volatility. A volatility change curve over time is constructed, and the volatility change curve is split into multiple curve segments. The average volatility of each curve segment is calculated, and the sliding time window length of each curve segment time is set according to the volatility average. The standard change rate of the changing parameter in the sliding time window is recalculated, and the standard change rate of the changing parameter under all curve segment time is comprehensively considered to divide the scenarios into two categories: stable communication network scenarios and unstable communication network scenarios.

[0040] In this embodiment, cluster analysis or pattern recognition is performed on historical data to extract typical communication patterns for each scenario.

[0041] Example: Mode 1: Weekday morning rush hour (high traffic, low latency requirements).

[0042] Mode 2: Nighttime trough (low flow, high stability requirements).

[0043] Expand the communication pattern chronologically to form a time series data axis. On the communication pattern data axis, identify the data change segments for each variable element (user behavior, network equipment, network environment, business needs). For each variable element, define the change rates of several variable parameters (such as the traffic change rate, load growth rate, and packet loss rate change rate. This change rate is calculated based on a fixed period and differs from the standard change rate time scale later). The sliding time window length for each curve segment is set based on the average volatility. The larger the average volatility, the shorter the sliding time window length, the more accurately the changes can be captured. The standard change rate of the variable parameters within the sliding time window is recalculated to accurately analyze the changes in the variable parameters over different time periods.

[0044] There are two types of communication network scenarios: stable and unstable. Stable communication network scenarios are those with small fluctuations or predictable changes. Unstable communication network scenarios are those with large fluctuations or unpredictable changes.

[0045] Step S103 , for a stable communication network scenario, monitor multi-dimensional quality parameters, integrate the multi-dimensional quality parameters, and compare the communication tolerance to implement communication quality monitoring for the stable communication network scenario.

[0046] In some embodiments of the present application, multi-dimensional quality parameters are integrated and compared with communication tolerance to achieve communication quality monitoring in stable communication network scenarios, including: The multi-dimensional quality parameters are integrated to determine the current tolerance of the stable communication network scenario, and the first communication quality indicator of the stable communication network scenario is calculated according to the current tolerance and communication tolerance of the determined communication network scenario, so as to realize the communication quality monitoring of the stable communication network scenario.

[0047] In this embodiment, the multi-dimensional quality parameters include performance quality parameters and user evaluation parameters. Performance parameters include: latency (ms), packet loss rate (%), throughput (Mbps), jitter (ms), signal strength (dBm); device load (%), failure rate (times / hour), and resource utilization (%). User evaluation parameters include: user satisfaction score (1-5 points), complaint rate (times / 1,000 users), number of perceived service interruptions, and service experience quality (such as video freeze rate and voice clarity score).

[0048] Collect data through network monitoring systems, user feedback platforms, device logs, etc.

[0049] Standardize parameters of different dimensions (such as normalizing to the interval [0,1]) to eliminate the dimension effect.

[0050] Assign weights based on the importance of the parameters (e.g., 0.6 for performance parameters and 0.4 for user evaluation parameters). Perform weighted summation mapping to obtain the current tolerance.

[0051] The calculation formula of the first communication quality indicator is as follows: ; in, For the The first communication quality indicator for a stable communication network scenario, For the The current tolerance determined by multi-dimensional quality parameters in a stable communication network scenario, For the Communication tolerance for a stable communication network scenario.

[0052] Step S104: for unstable communication network scenarios, monitor multi-dimensional quality parameters and network adjustment response parameters, combine the multi-dimensional quality parameters and network adjustment response parameters, and compare the communication tolerance to achieve communication quality monitoring for unstable communication network scenarios.

[0053] In some embodiments of the present application, the communication quality monitoring of unstable communication network scenarios is achieved by combining multi-dimensional quality parameters and network adjustment response parameters and comparing communication tolerance, including: Unstable communication network scenarios exist in two states: stable and unstable; In a stable state of the unstable communication network scenario, calculating a first communication quality indicator of the unstable communication network scenario based on the multi-dimensional quality parameters to describe the communication quality in the stable state; In an unstable state of an unstable communication network scenario, a second communication quality indicator of the unstable communication network scenario is determined by combining the first communication quality indicator and the network adjustment response parameter to describe the communication quality in the unstable state.

[0054] In some embodiments of the present application, the second communication quality indicator of the unstable communication network scenario is determined by combining the first communication quality indicator and the network adjustment response parameter, including: A second communication quality indicator for an unstable communication network scenario is determined based on the first communication quality indicator, a rate of change of the multi-dimensional quality parameter, and a network adjustment response parameter.

[0055] In this embodiment, the stable state: Network quality parameters fluctuated within an acceptable range and did not trigger any major adjustments.

[0056] Example: Traffic fluctuations are within a normal range, device load is stable, and user complaint rates are low.

[0057] Unstable state: Network quality parameters are outside the normal range, triggering network adjustments or posing potential risks.

[0058] Examples include: sudden traffic surges causing congestion, equipment failures leading to service interruptions, and a sharp increase in user complaints.

[0059] Network adjustment response parameters: number of switching times, routing adjustment frequency, retransmission rate, connection interruption time, load balancing efficiency, adaptive adjustment delay, etc.

[0060] The calculation formula of the second communication quality indicator is as follows: ; in, For the The second communication quality indicator of an unstable communication network scenario in an unstable state, For the A conversion constant of an unstable communication network scenario in an unstable state is used to convert the first communication quality indicator, For the The first communication quality indicator of an unstable communication network scenario in an unstable state, is an adjustment coefficient obtained by mapping the change rate of the quality parameter, used to adjust the first communication quality indicator, Adjust the number of parameters for the network, For the The network adjusts the combined weights of the response parameters, For the The unstable communication network scenario is in an unstable state. The network adjusts the response parameter size, For the The second constant of an unstable communication network scenario in an unstable state, It represents the correction of the converted first communication quality indicator by the network adjustment response parameter, and the second constant is used to balance the size of the correction function.

[0061] It is understandable that the first communication quality indicator is a ratio and needs to be converted and adjusted. The rate of change of the quality parameter will affect the reliability of the first communication quality indicator, and thus needs to be adjusted.

[0062] Correspondingly, the present application also provides a communication quality monitoring system for a communication network, such as Figure 2 Shown, including, The first module is used to collect all communication network scenarios and basic information of the communication network scenarios, analyze the basic information of the communication network scenarios and set the communication tolerance of each communication network scenario; The second module is used to monitor the changing elements of the communication network scenario and divide it into two categories: stable communication network scenario and unstable communication network scenario; The third module is used to monitor multi-dimensional quality parameters for stable communication network scenarios, integrate multi-dimensional quality parameters, and compare communication tolerance to achieve communication quality monitoring for stable communication network scenarios; The fourth module is used to monitor multi-dimensional quality parameters and network adjustment response parameters for unstable communication network scenarios. By combining the multi-dimensional quality parameters and network adjustment response parameters, the communication tolerance is compared to realize communication quality monitoring for unstable communication network scenarios.

[0063] Compared with the prior art, the present invention has the following beneficial effects: 1. Analyze the basic information of communication network scenarios and set the communication tolerance for each scenario. Consider the basic topology and business requirements of the communication network scenario to evaluate the communication tolerance of each scenario. Establish standards for each scenario and provide a reliable foundation for subsequent communication quality monitoring. Categorize two types of scenarios: stable and unstable. Consider the changing elements in the scenario to categorize the scenarios, thereby implementing different communication quality monitoring solutions for each type of scenario.

[0064] 2. For stable communication network scenarios, communication quality monitoring is achieved by comparing communication tolerance. For unstable communication network scenarios, communication quality monitoring is achieved by combining multi-dimensional quality parameters and network adjustment response parameters and comparing communication tolerance. This improves the accuracy and adaptability of communication quality monitoring, ensures the stability and reliability of network communication, and enhances the user's communication experience.

[0065] Through the above description of the embodiments, those skilled in the art will clearly understand that the present invention can be implemented via hardware or via software combined with a necessary general-purpose hardware platform. Based on this understanding, the technical solution of the present invention can be embodied in the form of a software product. This software product can be stored on a non-volatile storage medium (such as a CD-ROM, USB flash drive, or external hard drive) and includes instructions for enabling a computer device (such as a personal computer, server, or network device) to execute the methods described in various implementation scenarios of the present invention.

[0066] Those skilled in the art will understand that the accompanying drawings are merely schematic diagrams of a preferred implementation scenario, and the modules or processes in the accompanying drawings are not necessarily required to implement the present invention.

[0067] Those skilled in the art will appreciate that the modules in the system of the implementation scenario can be distributed in the system of the implementation scenario according to the implementation scenario description, or can be modified accordingly and located in one or more systems different from the implementation scenario. The modules of the above implementation scenario can be combined into one module or further divided into multiple submodules.

[0068] The above description is only a preferred specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any technician familiar with the technical field, within the technical scope disclosed by the present invention, who makes equivalent replacements or changes based on the technical solution and inventive concept of the present invention, should be covered by the scope of protection of the present invention.

Claims

1. A method for monitoring the communication quality of a communication network, characterized in that: include, Collect all communication network scenarios and basic information about them, analyze the basic information about them and set the communication tolerance for each scenario; Monitor the changing elements of communication network scenarios and classify them into two categories: stable communication network scenarios and unstable communication network scenarios; For stable communication network scenarios, monitor and integrate multi-dimensional quality parameters and compare communication tolerance to achieve communication quality monitoring for stable communication network scenarios. For unstable communication network scenarios, multi-dimensional quality parameters and network adjustment response parameters are monitored. By combining these parameters, communication tolerance is compared to achieve communication quality monitoring for unstable communication network scenarios.

2. The method for monitoring the communication quality of a communication network according to claim 1, wherein: Analyze the basic information of the communication network scenario and set the communication tolerance for each communication network scenario. include, Basic information about the communication network scenario includes topology, device type, coverage, and service requirements. Several core KPIs for the network communication scenario are determined, and the priority of each core KPI is determined based on service requirements. Based on the topology structure, device type, and coverage range, the core KPI intervals for each scenario corresponding to the three are determined respectively. The upper and lower limits of the core KPIs for the same scenario corresponding to the three are determined respectively based on the comprehensive topology structure, device type, and coverage range. The core KPIs of all scenarios are then secondary integrated based on the priority of each scenario's core KPI to set the communication tolerance for each communication network scenario.

3. The communication quality monitoring method of a communication network according to claim 2, characterized in that: The topology structure, device type, and coverage are comprehensively considered to determine the upper and lower limits of the core KPIs for the same scenario. include, Statistics are obtained for the topology structure, device type, and coverage range to determine the intersection and union of the core KPI intervals of the same scenario corresponding to the three. The intersection of the core KPI intervals of the same scenario is used as the lower limit of the core KPI of the scenario, and the union of the core KPI intervals of the same scenario is used as the upper limit of the core KPI of the scenario.

4. The method for monitoring the communication quality of a communication network according to claim 3, wherein: And according to the priority of each scenario's core KPI, conduct a secondary synthesis of all scenario's core KPIs and set the communication tolerance of each communication network scenario, including: The upper and lower limits of the core KPI of each scenario are evaluated for tolerance to obtain the single-core tolerance. The tolerance weights of the core KPIs of different scenarios are assigned according to their priorities. The communication tolerance of each communication network scenario is set based on the single-core tolerance.

5. The method for monitoring the communication quality of a communication network according to claim 1, wherein: The scenarios are divided into two categories: stable communication network scenarios and unstable communication network scenarios, including: Obtain historical records of all communication network scenarios, extract the communication mode of each communication network scenario from the historical records, and expand the communication mode in chronological order to obtain a communication mode data axis; The data change segment of each changing element is extracted on the communication mode data axis, and several changing parameters are determined on the data change segment of the changing element. The change rate of each changing parameter is calculated, and the change rates of all changing parameters under the same changing element are integrated and recorded as volatility. A volatility change curve over time is constructed, and the volatility change curve is split into multiple curve segments. The average volatility of each curve segment is calculated, and the sliding time window length of each curve segment time is set according to the volatility average. The standard change rate of the changing parameter in the sliding time window is recalculated, and the standard change rate of the changing parameter under all curve segment time is comprehensively considered to divide the scenarios into two categories: stable communication network scenarios and unstable communication network scenarios.

6. The method for monitoring the communication quality of a communication network according to claim 1, wherein: Integrate multi-dimensional quality parameters and compare communication tolerance to achieve communication quality monitoring in stable communication network scenarios, including: The multi-dimensional quality parameters are integrated to determine the current tolerance of the stable communication network scenario, and the first communication quality indicator of the stable communication network scenario is calculated according to the current tolerance and communication tolerance of the determined communication network scenario, so as to realize the communication quality monitoring of the stable communication network scenario.

7. The method for monitoring the communication quality of a communication network according to claim 1, wherein: By combining multi-dimensional quality parameters and network adjustment response parameters, the communication tolerance is compared to achieve communication quality monitoring in unstable communication network scenarios, including: Unstable communication network scenarios exist in two states: stable and unstable; In a stable state of the unstable communication network scenario, calculating a first communication quality indicator of the unstable communication network scenario based on the multi-dimensional quality parameters to describe the communication quality in the stable state; In an unstable state of an unstable communication network scenario, a second communication quality indicator of the unstable communication network scenario is determined by combining the first communication quality indicator and the network adjustment response parameter to describe the communication quality in the unstable state.

8. The method for monitoring the communication quality of a communication network according to claim 7, wherein: Determining a second communication quality indicator for an unstable communication network scenario in combination with the first communication quality indicator and the network adjustment response parameter includes: A second communication quality indicator for an unstable communication network scenario is determined based on the first communication quality indicator, a rate of change of the multi-dimensional quality parameter, and a network adjustment response parameter.

9. A communication quality monitoring system for a communication network, characterized in that: include, The first module is used to collect all communication network scenarios and basic information of the communication network scenarios, analyze the basic information of the communication network scenarios and set the communication tolerance of each communication network scenario; The second module is used to monitor the changing elements of the communication network scenario and divide it into two categories: stable communication network scenario and unstable communication network scenario; The third module is used to monitor multi-dimensional quality parameters for stable communication network scenarios, integrate multi-dimensional quality parameters, and compare communication tolerance to achieve communication quality monitoring for stable communication network scenarios; The fourth module is used to monitor multi-dimensional quality parameters and network adjustment response parameters for unstable communication network scenarios. By combining the multi-dimensional quality parameters and network adjustment response parameters, the communication tolerance is compared to realize communication quality monitoring for unstable communication network scenarios.

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