A public network cluster fusion communication monitoring and analyzing method

Abstract

The present application relates to the technical field of wireless communication, and more particularly to a public network cluster fusion communication monitoring and analyzing method, comprising: determining the coverage range of the public network cluster, the positions of all transmission nodes in the coverage range, and the data transmission types included in each communication; determining the delay time, packet loss rate and bandwidth utilization rate of each transmission node information transmission in a single communication detection period; determining the transmission stability characteristic parameter of the corresponding transmission node according to the delay time of each transmission node, and determining the transmission stability type; dividing the coverage range into communication sub-areas according to the transmission stability types of each transmission node in a plurality of continuous communication detection periods, determining the communication types of each communication sub-area, and selecting a communication monitoring strategy according to the communication types of each communication sub-area to predict communication abnormalities.

Description

Technical Field

[0001] This invention relates to the field of wireless communication, and in particular to a method for monitoring and analyzing public network trunking converged communication. Background Technology

[0002] In public network trunking communication, existing monitoring and analysis methods primarily rely on network analysis and monitoring tools. Wireshark can calculate bandwidth utilization by capturing data packets and analyzing traffic, while tools like Nagios and Zabbix can monitor network bandwidth utilization in real time. However, these tools mainly focus on the performance of individual nodes or links, lacking comprehensive analytical capabilities for the entire public network trunking. Furthermore, they typically require manually setting thresholds to trigger alarms, cannot automatically adapt to changes in network conditions, and struggle to meet the high demands for communication stability and reliability in complex network environments. In practical applications, while these tools can provide some monitoring functionality, they often fail to comprehensively assess communication stability and reliability in complex network environments and with diverse data transmission types. Especially under dynamically changing network conditions, the accuracy and timeliness of their monitoring results are significantly affected.

[0003] Heartbeat detection is a commonly used technique in existing public network trunking communication monitoring methods. By setting a preset heartbeat interval, each transmission node sends a heartbeat detection signal to other connected transmission nodes, and the number of responses and the round-trip time of a successful response are counted to determine the packet loss rate and latency. In practical applications, although heartbeat detection can provide basic connection status monitoring, the accuracy and reliability of its monitoring results can be significantly affected in complex network environments. Especially under dynamically changing network conditions, heartbeat detection may fail to detect potential network problems in a timely manner, thus affecting the stability and reliability of communication. Summary of the Invention

[0004] The purpose of this invention is to provide a public network cluster converged communication monitoring and analysis method that can solve the problem of low detection accuracy caused by the inability of existing public network cluster detection technologies to automatically adapt to changes in network status.

[0005] Therefore, the present invention provides a public network trunking converged communication monitoring and analysis method, which includes:

[0006] Step S1: Determine the coverage area of ​​the public network cluster, the location of all transmission nodes within the coverage area, and the data transmission types included in each communication. Data transmission types include video data, image data, audio data, and file data.

[0007] Step S2: Determine the delay time, packet loss rate, and bandwidth utilization of information transmission at each transmission node within a single communication detection cycle;

[0008] Step S3: Determine the transmission stability characterization parameters of the corresponding transmission node based on the delay time of each transmission node, and determine the transmission stability type of the transmission node by combining the packet loss rate and the data transmission type.

[0009] Step S4: Divide the coverage area into communication sub-regions based on the transmission stability type of each transmission node within a series of consecutive communication detection cycles, and determine the communication type of each communication sub-region.

[0010] Step S5: Based on the communication type of each communication sub-region, determine the selected communication monitoring strategy to predict communication anomalies. The communication monitoring strategy includes: predicting whether there is a communication anomaly trend in the next communication detection cycle based on the bandwidth utilization rate, and determining the influencing factors and their active time in the current communication sub-region to determine the communication interference cycle.

[0011] As a preferred technical solution for the public network cluster converged communication monitoring and analysis method, in step S1, the number of data transmission types included in each communication ranges from 1 to 4.

[0012] As a preferred technical solution for the public network cluster converged communication monitoring and analysis method, in step S2, determining the delay time and packet loss rate of information transmission of each transmission node within a single communication detection cycle includes:

[0013] A preset heartbeat interval is set, and each of the transmission nodes sends a heartbeat detection signal to other connected transmission nodes.

[0014] Statistical analysis of the number of responses and the corresponding round-trip time for successful responses;

[0015] The packet loss rate is determined based on the number of successful responses and the number of heartbeat detection signal transmissions, and the delay time is determined based on the round-trip time of each transaction.

[0016] As a preferred technical solution for the public network cluster converged communication monitoring and analysis method, in step S3, the transmission stability characterization parameters of each transmission node are determined as follows:

[0017] Obtain the total delay time of the current communication detection cycle and the total number of heartbeat detection signal transmissions;

[0018] Calculate the average delay time and average deviation for all delay times;

[0019] The transmission stability characterization parameter is determined based on the ratio of the average deviation to the average delay, combined with the ratio of the total number of transmissions to the number of responses to the heartbeat detection signal.

[0020] As a preferred technical solution for monitoring and analyzing converged communication in public network clusters, determining the transmission stability type of the corresponding transmission node based on the transmission stability characterization parameters, the packet loss rate, and the data transmission type includes:

[0021] If the transmission node meets the transmission stability condition, then the current transmission node's transmission stability type is a strongly stable transmission type.

[0022] If the transmission node does not meet the transmission stability condition, then the current transmission node's transmission stability type is weakly stable transmission type.

[0023] The transmission stability condition is that the transmission stability characterization parameter is less than the standard transmission characterization parameter, and the packet loss rate of audio data transmission and the packet loss rate of video data transmission are respectively lower than the corresponding standard packet loss rate.

[0024] As a preferred technical solution for the public network cluster converged communication monitoring and analysis method, in step S4, the coverage area is divided into communication sub-regions based on the transmission stability type of each transmission node within a consecutive number of communication detection cycles.

[0025] The boundary line of the communication sub-region is determined based on the transmission stability type of each transmission node and the location of each transmission node.

[0026] Each communication sub-region is determined based on the edge of the coverage area and / or the boundary line of the communication sub-region.

[0027] As a preferred technical solution for the public network cluster converged communication monitoring and analysis method, the communication type of the communication sub-region is determined based on the number of transmission nodes with stable transmission type that dominate the current communication sub-region;

[0028] The communication types of the communication sub-regions include strong stable dominant transmission type and weak stable dominant transmission type.

[0029] As a preferred technical solution for the public network cluster converged communication monitoring and analysis method, in step S5, determining the selected communication monitoring strategy to predict communication anomalies based on the communication type of each communication sub-region includes:

[0030] If the communication type of the communication sub-region is a strongly stable dominant transmission type, then the selected communication monitoring strategy is to predict whether there is an abnormal communication trend in the next communication detection cycle based on the bandwidth utilization.

[0031] If the communication type of the communication sub-region is the weakly stable dominant transmission type, the selected communication monitoring strategy is to determine the influencing factors and their active time in the current communication sub-region in order to determine the communication interference cycle.

[0032] As a preferred technical solution for monitoring and analyzing converged communication in public network clusters, the following criteria are used to determine the presence of abnormal communication trends:

[0033] If the bandwidth utilization rate of the current communication detection cycle exceeds the standard redundant bandwidth utilization rate, it is determined that there is a communication anomaly trend in the next communication detection cycle.

[0034] The beneficial effects of this invention are as follows:

[0035] This invention lays the foundation for subsequent monitoring and analysis by determining the coverage area, transmission node locations, and data transmission types of public network clusters. By combining latency, packet loss rate, and data transmission type, transmission stability parameters are calculated to accurately assess the stability of transmission nodes and, based on this, divide communication sub-regions, providing targeted regional divisions for data transmissions with different stability levels. Furthermore, based on the communication type of each sub-region, communication monitoring strategies are flexibly selected. For strongly stable dominant sub-regions, communication anomaly trends are predicted based on bandwidth utilization; for weakly stable dominant sub-regions, influencing factors and their active times are determined to judge communication interference cycles. This invention provides strong support for communication network optimization in complex environments, offers a more reliable basis for monitoring and analysis of converged communication in public network clusters, helps to promptly identify potential transmission problems, optimize network performance, and improve the overall stability and reliability of the communication system.

[0036] In particular, this invention, by setting preset heartbeat intervals and communication detection cycles, can cover network peaks and troughs and long-term performance changes, and can also detect network anomalies in a timely manner, ensuring that the monitoring results are representative of a wide range of situations rather than short-term timeliness. By using average delay time, average deviation, and the ratio of total transmissions to responses to calculate transmission stability parameters, the assessment of transmission stability becomes more accurate, providing a more reliable basis for monitoring and analysis of public network trunking converged communication. This helps to promptly identify potential transmission problems, optimize network performance, and improve the overall stability and reliability of the communication system.

[0037] In particular, by combining the transmission stability type and location information of the transmission nodes to determine the boundary line, it is possible to accurately delineate communication sub-regions that match the transmission stability, thereby providing targeted regional division for data transmission with different stability and optimizing data transmission efficiency. In addition, the shape of the communication sub-region is an arbitrary closed shape, and the boundary line is formed by transmission nodes with strong stable transmission type. This makes the division more flexible and can adapt to complex coverage and transmission node distribution, improving the adaptability and practicality of the division and providing strong support for communication network optimization in complex environments.

[0038] In particular, this invention employs different communication monitoring strategies to predict communication anomalies for sub-regions with different communication types, achieving effective management and optimization of complex network environments. For sub-regions dominated by strong stability, a monitoring strategy based on bandwidth utilization is used to predict communication anomaly trends. When bandwidth utilization exceeds the standard redundant bandwidth utilization, it is determined that a communication anomaly trend exists in the next detection cycle. This approach is suitable for network congestion situations, and congestion can be avoided by dynamically adjusting the heartbeat interval or limiting non-critical service traffic. For sub-regions dominated by weak stability, the focus is on identifying influencing factors (such as industrial equipment, radio signals, etc.) and their active times to determine communication interference cycles. This method fully considers the impact of various interference factors on communication in industrial environments, such as electromagnetic interference, physical obstruction, equipment aging, and frequency band overlap. By accurately identifying and responding to these interferences, it improves the stability and reliability of the communication network, providing strong support for communication network optimization in complex environments. Attached Figure Description

[0039] Figure 1 This is a flowchart of the public network cluster converged communication monitoring and analysis method in an embodiment of the present invention;

[0040] Figure 2 This is a flowchart illustrating the determination of transmission stability characterization parameters for each transmission node in an embodiment of the present invention.

[0041] Figure 3 This is a logic block diagram for determining the transmission stability type of a transmission node in an embodiment of the present invention. Detailed Implementation

[0042] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0043] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0044] Embodiments of the present invention are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and should not be construed as limiting the present invention.

[0045] Please see Figure 1 As shown, it is a flowchart of the public network cluster converged communication monitoring and analysis method in an embodiment of the present invention. The present invention provides a public network cluster converged communication monitoring and analysis method, including:

[0046] Step S1: Determine the coverage area of ​​the public network cluster, the location of all transmission nodes within the coverage area, and the data transmission types included in each communication. Data transmission types include video data, image data, audio data, and file data.

[0047] Step S2: Determine the delay time, packet loss rate, and bandwidth utilization of information transmission at each transmission node within a single communication detection cycle;

[0048] Step S3: Determine the transmission stability characterization parameters of the corresponding transmission node based on the delay time of each transmission node, and determine the transmission stability type of the transmission node by combining the packet loss rate and the data transmission type.

[0049] Step S4: Divide the coverage area into communication sub-regions based on the transmission stability type of each transmission node within a series of consecutive communication detection cycles, and determine the communication type of each communication sub-region.

[0050] Step S5: Based on the communication type of each communication sub-region, determine the selected communication monitoring strategy to predict communication anomalies. The communication monitoring strategy includes: predicting whether there is a communication anomaly trend in the next communication detection cycle based on the bandwidth utilization rate, and determining the influencing factors and their active time in the current communication sub-region to determine the communication interference cycle.

[0051] This invention lays the foundation for subsequent monitoring and analysis by determining the coverage area, transmission node locations, and data transmission types of public network clusters. By combining latency, packet loss rate, and data transmission type, transmission stability parameters are calculated to accurately assess the stability of transmission nodes and, based on this, divide communication sub-regions, providing targeted regional divisions for data transmissions with different stability levels. Furthermore, based on the communication type of each sub-region, communication monitoring strategies are flexibly selected. For strongly stable dominant sub-regions, communication anomaly trends are predicted based on bandwidth utilization; for weakly stable dominant sub-regions, influencing factors and their active times are determined to judge communication interference cycles. This invention provides strong support for communication network optimization in complex environments, offers a more reliable basis for monitoring and analysis of converged communication in public network clusters, helps to promptly identify potential transmission problems, optimize network performance, and improve the overall stability and reliability of the communication system.

[0052] Specifically, in step S1, the number of data transmission types included in each communication ranges from 1 to 4.

[0053] In practice, a single communication can involve multiple combinations of data types, such as individual file data transfers or voice communication, or a mixture of data types, such as video conferencing where video data, audio data, and file data are transmitted.

[0054] Specifically, in step S2, determining the delay time and packet loss rate of information transmission at each transmission node within a single communication detection period includes:

[0055] A preset heartbeat interval is set, and each of the transmission nodes sends a heartbeat detection signal to other connected transmission nodes.

[0056] Statistical analysis of the number of responses and the corresponding round-trip time for successful responses;

[0057] The packet loss rate is determined based on the number of successful responses and the number of heartbeat detection signal transmissions, and the delay time is determined based on the round-trip time of each transaction.

[0058] In practice, bandwidth utilization is usually obtained by network analysis or network monitoring tools. For example, Wireshark can calculate bandwidth utilization by capturing data packets and analyzing traffic, while tools such as Nagios and Zabbix can monitor network bandwidth utilization in real time.

[0059] The communication detection cycle is 1 to 2 hours, covering the peaks and troughs of the network and long-term performance changes. This makes the results obtained from the analysis of monitoring data more representative of a wide range of situations, rather than short-term timeliness. Preferably, the communication detection cycle is 1 hour.

[0060] The preset heartbeat interval is selected within the range [1s, 10s], preferably 5s. If the current packet loss rate is high, the preset heartbeat interval can be shortened to 3 seconds.

[0061] Understandably, heartbeat detection typically records the timestamps of sending and receiving heartbeat signals, and uses the round-trip time (RTT) to determine latency. Furthermore, the packet loss rate can be calculated based on the number of responses received during the heartbeat detection process. If no response is received consecutively, it can be determined that the connection is interrupted or there is severe packet loss.

[0062] For example, the Ping command is essentially a heartbeat detection mechanism. It measures latency by sending ICMP Echo Requests and waiting for Echo Replies, and calculates the packet loss rate by counting the number of packets that do not receive a response. Alternatively, Iperf also sends test packets and records the round-trip time when measuring latency, and Iperf can test the packet loss rate in UDP mode by sending UDP packets and counting the number of packets that do not receive an acknowledgment. The heartbeat detection command is set as existing technology, and no specific limitations are made on this process or the content of the signals emitted by the heartbeat detection.

[0063] Please see Figure 2 As shown, this is a flowchart illustrating the determination of transmission stability characterization parameters for each transmission node in an embodiment of the present invention. In step S3, determining the transmission stability characterization parameters for each transmission node includes:

[0064] Obtain the total delay time of the current communication detection cycle and the total number of heartbeat detection signal transmissions;

[0065] Calculate the average delay time and average deviation for all delay times;

[0066] The transmission stability characterization parameter is determined based on the ratio of the average deviation to the average delay, combined with the ratio of the total number of transmissions to the number of responses to the heartbeat detection signal.

[0067] In practice, the transmission stability parameter is the product of the ratio of average deviation to average delay and the ratio of the total number of transmissions to the number of responses to the heartbeat detection signal. The number of responses within the current communication detection cycle is the same as the total number of delay times calculated.

[0068] It is understandable that packet loss occurs during data transmission in a public network cluster, indicating that the number of responses to the received heartbeat detection signal is less than or equal to the total number of transmissions, meaning that the ratio of the total number of transmissions to the number of responses to the heartbeat detection signal is always greater than or equal to 1.

[0069] In this invention, by setting preset heartbeat intervals and communication detection cycles, it is possible to cover network peaks and troughs and long-term performance changes, while also promptly detecting network anomalies. This ensures that the monitoring results are representative of a wide range of situations rather than being short-term. By using average delay time, average deviation, and the ratio of total transmissions to responses to calculate transmission stability parameters, the assessment of transmission stability becomes more accurate. This provides a more reliable basis for monitoring and analyzing public network trunking converged communication, helping to promptly identify potential transmission problems, optimize network performance, and improve the overall stability and reliability of the communication system.

[0070] Please see Figure 3 As shown, this is a logic block diagram for determining the transmission stability type of a transmission node in an embodiment of the present invention. Determining the transmission stability type of the corresponding transmission node based on the transmission stability characterization parameters, the packet loss rate, and the data transmission type includes:

[0071] If the transmission node meets the transmission stability condition, then the current transmission node's transmission stability type is a strongly stable transmission type.

[0072] If the transmission node does not meet the transmission stability condition, then the current transmission node's transmission stability type is weakly stable transmission type.

[0073] The transmission stability condition is that the transmission stability characterization parameter is less than the standard transmission characterization parameter, and the packet loss rate of audio data transmission and the packet loss rate of video data transmission are respectively lower than the corresponding standard packet loss rate.

[0074] In practice, the standard transmission characterization parameters are selected within the interval [0.1, 0.2], the standard packet loss rate for audio data transmission is 1%, and the standard packet loss rate for video data transmission is 2%.

[0075] It is understandable that human hearing is sensitive to audio interruptions. Even a small amount of packet loss can cause noise or speech breaks. To ensure the continuity of audio data transmission in real-time scenarios (such as voice calls and online meetings), the packet loss rate should be less than 1%. For real-time video data, dynamic images (such as live broadcasts and video conferences) have high real-time requirements. If key frames (I-frames) are lost, subsequent frames cannot be decoded, which will cause screen tearing or stuttering.

[0076] While file and image data need to be guaranteed for integrity during transmission, backups are usually present in public network clusters during actual transmission. The TCP protocol automatically repairs packet loss through retransmission mechanisms and performs verification and retransmission using other methods to ensure the integrity of the transmission. Real-time integrity requirements are not as high as those for audio and video data. Therefore, audio and video data are used for judgment here.

[0077] Specifically, in step S4, the coverage area is divided into communication sub-regions based on the transmission stability type of each transmission node within a consecutive number of communication detection cycles.

[0078] The boundary line of the communication sub-region is determined based on the transmission stability type of each transmission node and the location of each transmission node.

[0079] Each communication sub-region is determined based on the edge of the coverage area and / or the boundary line of the communication sub-region.

[0080] In practice, the duration of several consecutive communication testing cycles needs to cover a complete date, encompassing all the peaks and troughs of the network throughout the day, thereby reflecting long-term performance changes.

[0081] Each communication sub-region can have any closed shape, and its boundary line consists of line segments connecting transmission nodes of the strongly stable transmission type. The edge of a communication sub-region can consist only of the boundary line containing the transmission nodes, or it can consist of the boundary line and the coverage edge.

[0082] Each communication sub-region contains no less than 4 transmission nodes. A single communication sub-region can contain two types of transmission nodes: strong stable transmission type and weak stable transmission type. A large communication sub-region can contain smaller communication sub-regions.

[0083] In this invention, by combining the transmission stability type and location information of transmission nodes to determine the boundary line, communication sub-regions that match the transmission stability can be accurately delineated. This provides targeted region division for data transmission with different stability, optimizes data transmission efficiency, and allows the communication sub-regions to be arbitrarily closed in shape, with the boundary line formed by transmission nodes of strongly stable transmission type. This makes the division more flexible, adaptable to complex coverage areas and transmission node distributions, improves the adaptability and practicality of the division, and provides strong support for communication network optimization in complex environments.

[0084] Specifically, the communication type of the communication sub-region is determined based on the number of transmission nodes of the dominant transmission stability type in the current communication sub-region;

[0085] The communication types of the communication sub-regions include strong stable dominant transmission type and weak stable dominant transmission type.

[0086] In implementation, the number of dominant transmission nodes indicates that the proportion of transmission nodes of the current stable transmission type in the total number of transmission nodes in the communication sub-region exceeds 50%. If the number of dominant transmission nodes in the current communication sub-region is of the strongly stable transmission type, then the communication type of the current communication sub-region is the strongly stable dominant transmission type; if the number of dominant transmission nodes in the current communication sub-region is of the weakly stable transmission type, then the communication type of the current communication sub-region is the weakly stable dominant transmission type.

[0087] Specifically, in step S5, determining the selection of a communication monitoring strategy to predict communication anomalies based on the communication type of each communication sub-region includes:

[0088] If the communication type of the communication sub-region is a strongly stable dominant transmission type, then the selected communication monitoring strategy is to predict whether there is an abnormal communication trend in the next communication detection cycle based on the bandwidth utilization.

[0089] If the communication type of the communication sub-region is the weakly stable dominant transmission type, the selected communication monitoring strategy is to determine the influencing factors and their active time in the current communication sub-region in order to determine the communication interference cycle.

[0090] In practice, influencing factors include industrial equipment, radio signals, and other buildings or large equipment that can interfere with wired / wireless communication (such as WiFi packet loss in a factory environment).

[0091] It is understandable that electromagnetic interference generated during the operation of industrial equipment, such as high-power motors and frequency converters, can cause instantaneous voltage fluctuations in the power grid. This can affect the normal operation of communication equipment through conductive and radiated interference. Simultaneously, common metal structures and large mechanical equipment in industrial environments can block or reflect wireless signals, leading to signal attenuation and multipath effects, further impacting communication quality. Furthermore, equipment aging and malfunctions can also cause performance degradation and increased interference. Regarding radio signals, some industrial equipment (such as wireless sensors, walkie-talkies, and industrial wireless remote controls) may operate in public frequency bands (such as 2.4GHz and 5GHz), overlapping with the frequency bands of public network trunking communications, resulting in co-channel or adjacent-channel interference. Multipath propagation interference can cause signal delay spread and inter-symbol interference during transmission due to reflection, refraction, and diffraction. Harsh environmental conditions in industrial settings, such as dust, high temperatures, and mechanical vibrations, as well as natural phenomena such as lightning, rain, and fog, can negatively impact the stability and lifespan of wireless communication equipment, thus interfering with the normal operation of wired and wireless communications.

[0092] The active time is the communication detection period involved in the daily operation of the influencing factor, and this part of the communication detection period is the communication interference period.

[0093] Specifically, the following criteria are used to determine if there is an abnormal communication trend:

[0094] If the bandwidth utilization rate of the current communication detection cycle exceeds the standard redundant bandwidth utilization rate, it is determined that there is a communication anomaly trend in the next communication detection cycle.

[0095] In practice, the standard redundant bandwidth is 80%. It's understandable that bandwidth utilization exceeding 80% for extended periods can lead to network congestion, necessitating dynamic adjustments to the heartbeat interval or limiting non-critical service traffic. In public network clusters, typically, 20% redundant bandwidth is reserved when multiple terminals concurrently upload data to avoid congestion.

[0096] In this invention, different communication monitoring strategies are employed to predict communication anomalies for sub-regions with different communication types, achieving effective management and optimization of complex network environments. For sub-regions dominated by strong stability, a monitoring strategy based on bandwidth utilization is used to predict communication anomaly trends. When bandwidth utilization exceeds the standard redundant bandwidth utilization, it is determined that a communication anomaly trend exists in the next detection cycle. This approach is suitable for network congestion situations, and congestion can be avoided by dynamically adjusting the heartbeat interval or limiting non-critical service traffic. For sub-regions dominated by weak stability, the focus is on identifying influencing factors (such as industrial equipment, radio signals, etc.) and their active times to determine communication interference cycles. This method fully considers the impact of various interference factors on communication in industrial environments, such as electromagnetic interference, physical obstruction, equipment aging, and frequency band overlap. By accurately identifying and responding to these interferences, the stability and reliability of the communication network are improved, providing strong support for communication network optimization in complex environments.

[0097] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented using dedicated hardware-based apparatus to perform the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0098] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the implementation of the present invention. Those skilled in the art can make other variations or modifications based on the above description. It is neither necessary nor possible to exhaustively describe all embodiments here. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the claims of the present invention.

Claims

1. A method for monitoring and analyzing converged public network trunking communication, characterized in that, include; Step S1: Determine the coverage area of ​​the public network cluster, the location of all transmission nodes within the coverage area, and the data transmission types included in each communication. Data transmission types include video data, image data, audio data, and file data. Step S2: Determine the delay time, packet loss rate, and bandwidth utilization of information transmission at each transmission node within a single communication detection cycle; Step S3: Determine the transmission stability characterization parameters of the corresponding transmission node based on the delay time of each transmission node, and determine the transmission stability type of the transmission node by combining the packet loss rate and the data transmission type. Step S4: Divide the coverage area into communication sub-regions based on the transmission stability type of each transmission node within a series of consecutive communication detection cycles, and determine the communication type of each communication sub-region. The duration of the series of consecutive communication detection cycles needs to cover a complete date. Step S5: Based on the communication type of each communication sub-region, determine the selected communication monitoring strategy to predict communication anomalies. The communication monitoring strategy includes: predicting whether there is a communication anomaly trend in the next communication detection cycle based on the bandwidth utilization rate, and determining the influencing factors and their active time in the current communication sub-region to determine the communication interference cycle. In step S3, determining the transmission stability characterization parameters of each transmission node includes: Obtain the total delay time of the current communication detection cycle and the total number of heartbeat detection signal transmissions; Calculate the average delay time and average deviation for all delay times; The transmission stability characterization parameter is determined based on the ratio of the average deviation to the average delay time and the ratio of the total number of transmissions to the number of responses to the heartbeat detection signal. Determining the transmission stability type of the corresponding transmission node based on the transmission stability characterization parameters, the packet loss rate, and the data transmission type includes: If the transmission node meets the transmission stability condition, then the current transmission node's transmission stability type is a strongly stable transmission type. If the transmission node does not meet the transmission stability condition, then the current transmission node's transmission stability type is weakly stable transmission type. The transmission stability condition is that the transmission stability characterization parameter is less than the standard transmission characterization parameter, and the packet loss rate of audio data transmission and the packet loss rate of video data transmission are respectively lower than the corresponding standard packet loss rate.

2. The public network trunking converged communication monitoring and analysis method according to claim 1, characterized in that, In step S1, the number of data transmission types included in each communication ranges from 1 to 4.

3. The public network trunking converged communication monitoring and analysis method according to claim 2, characterized in that, In step S2, determining the delay time and packet loss rate of information transmission at each transmission node within a single communication detection period includes: A preset heartbeat interval is set, and each of the transmission nodes sends a heartbeat detection signal to other connected transmission nodes. Statistical analysis of the number of responses and the corresponding round-trip time for successful responses; The packet loss rate is determined based on the number of successful responses and the number of heartbeat detection signal transmissions, and the delay time is determined based on the round-trip time of each transaction.

4. The public network trunking converged communication monitoring and analysis method according to claim 1, characterized in that, In step S4, dividing the coverage area into communication sub-regions based on the transmission stability type of each transmission node within a consecutive number of communication detection cycles includes: The boundary line of the communication sub-region is determined based on the transmission stability type of each transmission node and the location of each transmission node. Each communication sub-region is determined based on the edge of the coverage area and / or the boundary line of the communication sub-region.

5. The public network trunking converged communication monitoring and analysis method according to claim 4, characterized in that, The communication type of the communication sub-region is determined based on the number of transmission nodes of the dominant stable transmission type in the current communication sub-region. The communication types of the communication sub-regions include strong stable dominant transmission type and weak stable dominant transmission type.

6. The public network trunking converged communication monitoring and analysis method according to claim 5, characterized in that, In step S5, determining the selected communication monitoring strategy to predict communication anomalies based on the communication type of each communication sub-region includes: If the communication type of the communication sub-region is a strongly stable dominant transmission type, then the selected communication monitoring strategy is to predict whether there is an abnormal communication trend in the next communication detection cycle based on the bandwidth utilization. If the communication type of the communication sub-region is the weakly stable dominant transmission type, the selected communication monitoring strategy is to determine the influencing factors and their active time in the current communication sub-region in order to determine the communication interference cycle.

7. The public network trunking converged communication monitoring and analysis method according to claim 6, characterized in that, The following communication anomalies were identified: If the bandwidth utilization rate of the current communication detection cycle exceeds the standard redundant bandwidth utilization rate, it is determined that there is a communication anomaly trend in the next communication detection cycle.

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