Public network cluster converged communication monitoring and analysis method

Abstract

The invention relates to the technical field of wireless communication, in particular to a public network cluster converged communication monitoring and analyzing method, which comprises the following steps of: determining a coverage area of a public network cluster, positions of all transmission nodes in the coverage area and a data transmission type included in each communication; determining delay time, packet loss rate and bandwidth utilization rate of information transmission of each transmission node in a single communication detection period; determining a transmission stability characterization parameter of the corresponding transmission node according to the delay time of each transmission node, and determining a transmission stability type; according to the transmission stability type of each transmission node in a plurality of continuous communication detection periods, carrying out regional division on the coverage area to obtain communication sub-regions, determining the communication type of each communication sub-region, and determining and selecting a communication monitoring strategy according to the communication type of each communication sub-region to predict communication abnormity.

Description

Technical Field

[0001] The present invention relates to the field of wireless communication, and in particular, to a monitoring and analysis method for public network trunking integrated communication. Background Art

[0002] In public network trunking communication, existing monitoring and analysis methods mainly rely on network analysis tools and network monitoring tools. Wireshark can calculate bandwidth utilization by capturing data packets and analyzing traffic, and tools such as Nagios and Zabbix can monitor network bandwidth utilization in real time. However, these tools mainly focus on the performance of individual nodes or links and lack the comprehensive analysis ability for the entire public network trunking. In addition, they usually require manual setting of thresholds to trigger alarms, cannot automatically adapt to changes in network status, and are difficult to meet the high requirements for communication stability and reliability in complex network environments. In practical applications, although these tools can provide certain monitoring functions, when facing complex network environments and various data transmission types, they often cannot comprehensively evaluate the stability and reliability of communication. Especially in dynamically changing network conditions, the accuracy and timeliness of their monitoring results will be greatly affected.

[0003] In existing public network trunking communication monitoring methods, heartbeat detection is a commonly used technology. By setting a preset heartbeat interval, each transmission node sends a heartbeat detection signal to other connected transmission nodes, and counts the response times and the round-trip time of successful responses to determine the packet loss rate and latency. In practical applications, although heartbeat detection can provide basic connection status monitoring, in complex network environments, the accuracy and reliability of its monitoring results will be greatly affected. Especially in dynamically changing network conditions, heartbeat detection may not be able to detect potential network problems in time, thus affecting the stability and reliability of communication. Summary of the Invention

[0004] The purpose of the present invention is to provide a monitoring and analysis method for public network trunking integrated communication, which can solve the problem that the existing public network trunking detection technology cannot automatically adapt to changes in network status, resulting in low detection accuracy.

[0005] To this end, the present invention provides a monitoring and analysis method for public network trunking integrated communication, which includes:

[0006] Step S1, determining the coverage range of the public network trunking, the locations of all transmission nodes within the coverage range, and the data transmission types included in each communication, where the data transmission types include video data, image data, audio data, and file data;

[0007] Step S2, determining the latency, packet loss rate, and bandwidth utilization of information transmission of each transmission node within a single communication detection cycle;

[0008] Step S3, determine the transmission stability characterization parameter of the corresponding transmission node according to the delay time of each transmission node, and determine the transmission stability type of the transmission node in combination with the packet loss rate and the data transmission type;

[0009] Step S4, divide the coverage area into communication sub-areas according to the transmission stability types of each transmission node in a continuous number of communication detection cycles, and determine the communication types of each communication sub-area;

[0010] Step S5, determine the selection of communication monitoring strategies to predict communication anomalies according to the communication types of each communication sub-area. The communication monitoring strategies include: predicting whether there is a communication anomaly trend in the next communication detection cycle according to the bandwidth utilization rate, and determining the influencing factors and their active time in the current communication sub-area to judge the communication interference cycle.

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

[0012] As a preferred technical solution of the public network cluster fusion communication monitoring and analysis method, in the 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] Set a preset heartbeat interval, and each transmission node sends a heartbeat detection signal to other connected transmission nodes;

[0014] Count the response times and the corresponding round-trip times of successful responses;

[0015] Determine the packet loss rate according to the number of successful responses and the number of heartbeat detection signals sent, and determine the delay time according to each round-trip time.

[0016] As a preferred technical solution of the public network cluster fusion communication monitoring and analysis method, in the step S3, determining the transmission stability characterization parameter of each transmission node includes:

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

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

[0019] Determine the transmission stability characterization parameter according to the ratio of the average deviation to the average delay and the ratio of the total number of transmissions to the number of responses of the heartbeat detection signal.

[0020] As a preferred technical solution of the public network cluster integrated communication monitoring and analysis method, determining the transmission stability type of the corresponding transmission node according to the transmission stability characterization parameter, the packet loss rate, and the data transmission type includes:

[0021] If the transmission node meets the transmission stability condition, the transmission stability type of the current transmission node is the strong stability transmission type;

[0022] If the transmission node does not meet the transmission stability condition, the transmission stability type of the current transmission node is the weak stability transmission type;

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

[0024] As a preferred technical solution of the public network cluster integrated communication monitoring and analysis method, in the step S4, dividing the coverage area into communication sub-areas according to the transmission stability types of each transmission node in a continuous number of communication detection cycles includes,

[0025] Determining the boundary line of the communication sub-area according to the transmission stability type of each transmission node and combining the positions of each transmission node;

[0026] Determining each communication sub-area according to the edge of the coverage area and / or the boundary line of the communication sub-area.

[0027] As a preferred technical solution of the public network cluster integrated communication monitoring and analysis method, the communication type of the communication sub-area is determined according to the transmission node with the dominant transmission stability type in the current communication sub-area;

[0028] Among them, the communication types of the communication sub-areas include the strong stability dominant transmission type and the weak stability dominant transmission type.

[0029] As a preferred technical solution of the public network cluster integrated communication monitoring and analysis method, in the step S5, determining the communication monitoring strategy to predict communication anomalies according to the communication types of each communication sub-area includes:

[0030] If the communication type of the communication sub-area is the strong stability dominant transmission type, the selected communication monitoring strategy is to predict whether there is a communication anomaly trend in the next communication detection cycle according to the bandwidth utilization rate;

[0031] If the communication type of the communication sub-area is the weak stability dominant transmission type, the selected communication monitoring strategy is to determine the influencing factors and their active times in the current communication sub-area to judge the communication interference period.

[0032] As an optimal technical solution of the public network cluster integrated communication monitoring and analysis method, determining the existence of a communication anomaly trend is as follows:

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

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

[0035] By determining the coverage range of the public network cluster, the positions of transmission nodes, and the data transmission types, the present invention lays a foundation for subsequent monitoring and analysis. Combining the delay time, packet loss rate, and data transmission type, calculating the transmission stability characterization parameter, accurately evaluating the stability of the transmission node, and accordingly dividing the communication sub-regions, providing targeted regional divisions for data transmissions with different stabilities. In addition, according to the communication types of the communication sub-regions, flexibly selecting communication monitoring strategies, predicting the communication anomaly trend based on the bandwidth utilization rate for the strongly stable dominant sub-regions, and determining the influencing factors and their active times for the weakly stable dominant sub-regions to judge the communication interference period. The present invention provides strong support for the optimization of communication networks in complex environments, provides a more reliable basis for the monitoring and analysis of public network cluster integrated communication, helps to timely discover potential transmission problems, optimize network performance, and improve the overall stability and reliability of the communication system.

[0036] In particular, in the present invention, by setting the preset heartbeat interval and communication detection period, it can not only cover the peaks and valleys of the network and long-term performance changes, but also timely discover network anomalies, ensuring that the monitoring results are representative of a wide range of situations rather than short-term timeliness. Using the average delay time, average deviation, and the ratio of the total number of transmissions to the number of responses to calculate the transmission stability characterization parameter makes the evaluation of transmission stability more accurate, provides a more reliable basis for the monitoring and analysis of public network cluster integrated communication, helps to timely discover potential transmission problems, optimize network performance, and improve the overall stability and reliability of the communication system.

[0037] In particular, in the present invention, by combining the transmission stability type and location information of the transmission nodes to determine the boundary line, it is possible to accurately divide the communication sub-regions that match the transmission stability, thereby providing targeted regional divisions for data transmissions with different stabilities, optimizing the data transmission efficiency. In addition, the shape of the communication sub-region is an arbitrary closed shape, and the boundary line is connected by the transmission nodes of the strongly stable transmission type, which makes the division more flexible, can adapt to complex coverage ranges and transmission node distributions, improves the adaptability and practicability of the division, and provides strong support for the optimization of communication networks in complex environments.

[0038] In particular, in the present invention, different communication monitoring strategies are adopted for sub-regions of different communication types to predict communication anomalies, 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 the bandwidth utilization exceeds the standard redundant bandwidth utilization, it is determined that there is a communication anomaly trend in the next detection cycle, which is applicable to network congestion situations. Congestion can be avoided by dynamically adjusting the heartbeat interval or restricting non-critical service traffic. For sub-regions dominated by weak stability, attention is focused on determining influencing factors (such as industrial equipment, radio signals, etc.) and their active times to judge the communication interference cycle. This method fully considers the impact of various interference factors on communication in the industrial environment, such as electromagnetic interference, physical obstruction, equipment aging, frequency band overlap, etc. By accurately identifying and addressing these interferences, the stability and reliability of the communication network are improved, providing strong support for the optimization of communication networks in complex environments. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0040] Figure 2 It is a flowchart of determining the transmission stability characterization parameters of each transmission node in an embodiment of the present invention;

[0041] Figure 3 It is a logic block diagram of determining the transmission stability type of a transmission node in an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0042] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments of the present invention fall within the protection scope of the present invention.

[0043] In the description of the present invention, it should be noted that, unless otherwise clearly defined and limited, the terms "installation", "connection", and "connection" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the internal communication of two components. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0044] Embodiments of the present invention will be described in detail below. Examples of the 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 only for explaining the present invention and should not be construed as limiting the present invention.

[0045] Please refer to Figure 1 As shown, which is a flowchart of the public network trunking integrated communication monitoring and analysis method in the embodiment of the present invention. The present invention provides a public network trunking integrated communication monitoring and analysis method, including;

[0046] Step S1, determine the coverage range of the public network trunking, the locations of all transmission nodes within the coverage range, and the data transmission types included in each communication, where the 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 rate of information transmission of each transmission node within a single communication detection period;

[0048] Step S3, determine the transmission stability characterization parameter of the corresponding transmission node according to the delay time of each transmission node, and determine the transmission stability type of the transmission node in combination with the packet loss rate and the data transmission type;

[0049] Step S4, divide the coverage range into communication sub-regions according to the transmission stability types of each transmission node within a continuous number of communication detection periods, and determine the communication types of each communication sub-region;

[0050] Step S5, determine the selection of communication monitoring strategies to predict communication anomalies according to the communication types of each communication sub-region. Among them, the communication monitoring strategies include: predicting whether there is a communication anomaly trend in the next communication detection period according to the bandwidth utilization rate, and determining the influencing factors and their active times in the current communication sub-region to judge the communication interference period.

[0051] The present invention lays a foundation for subsequent monitoring and analysis by determining the coverage range of the public network cluster, the positions of transmission nodes, and the data transmission types. Combining the delay time, packet loss rate, and data transmission type, it calculates the transmission stability characterization parameters, accurately evaluates the stability of transmission nodes, and divides communication sub-regions accordingly, providing targeted regional divisions for data transmissions with different stabilities. In addition, according to the communication types of the communication sub-regions, it flexibly selects communication monitoring strategies. For the strongly stable dominant sub-regions, it predicts the communication anomaly trend based on the bandwidth utilization rate, and for the weakly stable dominant sub-regions, it determines the influencing factors and their active times to judge the communication interference period. The present invention provides strong support for the optimization of communication networks in complex environments, provides a more reliable basis for the monitoring and analysis of the integrated communication of the public network cluster, helps to timely discover potential transmission problems, optimize network performance, and improve the overall stability and reliability of the communication system.

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

[0053] In implementation, when a single communication performs data transmission, the data types included can be various combinations, that is, it can be a single file data transmission or voice communication, etc., and can also be a mixed transmission of multiple data. For example, when a video conference is held, the data transmission types are video data, audio data, and file data.

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

[0055] Set a preset heartbeat interval, and each of the transmission nodes sends a heartbeat detection signal to other connected transmission nodes;

[0056] Count the response times and the corresponding round-trip times of successful responses;

[0057] Determine the packet loss rate according to the number of successful responses and the number of heartbeat detection signals sent, and determine the delay time according to each round-trip time.

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

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

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

[0061] It can be understood that heartbeat detection usually records the timestamps of sending and receiving heartbeat signals, and judges the delay situation by calculating the round-trip time (RTT). In addition, according to the number of responses received during the heartbeat detection process, the packet loss rate can be obtained. If no response is received continuously for multiple times, it can be judged that the connection is interrupted or the packet loss is serious.

[0062] For example, the Ping command is essentially a heartbeat detection mechanism. It measures the delay by sending an ICMP echo request (EchoRequest) and waiting for an echo reply (Echo Reply), and calculates the packet loss rate by counting the number of packets that do not receive a response. Or, when measuring the delay, Iperf also sends test data packets and records the round-trip time, and Iperf can test the packet loss rate in UDP mode by sending UDP data packets and counting the number of packets that do not receive an acknowledgment to calculate the packet loss rate. Setting the heartbeat detection command is a prior art, and the process and the content of the signals sent by the heartbeat detection are not specifically limited.

[0063] Please refer to Figure 2 as shown, which is a flowchart for determining the transmission stability characterization parameter of each transmission node in the embodiment of the present invention. In step S3, determining the transmission stability characterization parameter of each transmission node includes:

[0064] Obtain all the delay times of the current communication detection period and the total number of transmissions of the heartbeat detection signal;

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

[0066] Determine the transmission stability characterization parameter according to 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 of the heartbeat detection signal.

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

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

[0069] In the present invention, by setting a preset heartbeat interval and a communication detection period, it is possible to cover both the peaks and valleys of the network and long-term performance changes, and to promptly detect network anomalies, ensuring that the monitoring results are representative of a wide range of situations rather than short-term timeliness. By using the average delay time, average deviation, and the ratio of the total number of transmissions to the number of responses to calculate the transmission stability characterization parameter, the evaluation of transmission stability is made more accurate, providing a more reliable basis for the monitoring and analysis of public network cluster integrated communication, helping to promptly detect potential transmission problems, optimize network performance, and improve the overall stability and reliability of the communication system.

[0070] Please refer to Figure 3 as shown, which 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 according to the transmission stability characterization parameter, the packet loss rate, and the data transmission type includes:

[0071] If the transmission node meets the transmission stability condition, the transmission stability type of the current transmission node is a strong stability transmission type;

[0072] If the transmission node does not meet the transmission stability condition, the transmission stability type of the current transmission node is a weak stability transmission type;

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

[0074] In implementation, the standard transmission characterization parameter is selected within the range of [0.1, 0.2], the standard packet loss rate of audio data transmission is 1%, and the standard packet loss rate of video data transmission is 2%.

[0075] It can be understood that the human ear is sensitive to audio interruptions, and even a small amount of packet loss can cause noise or voice 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 requirements for real-time performance. If a key frame (I-frame) is lost, subsequent frames cannot be decoded, resulting in a frozen screen or stuttering.

[0076] For file data and image data, although it is necessary to ensure their integrity during the transmission process, in actual transmission, there are usually backups in the public network cluster. The TCP protocol automatically repairs packet loss through retransmission mechanisms and other methods for checksum and retransmission, which can ensure the integrity of the transmission. The requirement for real-time integrity is not as high as that of audio data and video data. Therefore, audio data and video data are used for judgment here.

[0077] Specifically, in the step S4, dividing the coverage area into communication sub-areas according to the transmission stability types of each of the transmission nodes in a continuous number of communication detection cycles includes:

[0078] Determining the boundary lines of the communication sub-areas based on the transmission stability types of each of the transmission nodes in combination with the positions of each of the transmission nodes;

[0079] Determining each communication sub-area according to the edge of the coverage area and / or the boundary lines of the communication sub-areas.

[0080] In practice, the duration included in a continuous number of communication detection cycles needs to be able to cover a complete date and cover all the peaks and valleys of the network in a day, so as to reflect the long-term performance changes.

[0081] The shape of each communication sub-area can be any closed shape, and the boundary lines are composed of line segments connected by transmission nodes of the strong stable transmission type. The edge of the communication sub-area can be composed only of the boundary lines containing transmission nodes, or can be composed of the boundary lines and the coverage edge.

[0082] The number of transmission nodes included in each individual communication sub-area is not less than 4. There can be two types of transmission nodes, namely the strong stable transmission type and the weak stable transmission type, in a single communication sub-area, and small communication sub-areas can be included inside the communication sub-area with a large area.

[0083] In the present invention, by combining the transmission stability type and position information of the transmission nodes to determine the boundary lines, communication sub-areas that match the transmission stability can be accurately divided, so as to provide targeted area division for data transmissions with different stabilities and optimize the data transmission efficiency. In addition, the shape of the communication sub-area is any closed shape, and the boundary lines are connected by transmission nodes of the strong stable transmission type, which makes the division more flexible, can adapt to complex coverage areas and transmission node distribution situations, improves the adaptability and practicability of the division, and provides strong support for the optimization of communication networks in complex environments.

[0084] Specifically, the communication type of the communication sub-area is determined according to the transmission nodes of the transmission stability type that are dominant in number in the current communication sub-area;

[0085] Among them, the communication types of the communication sub-areas include the strong stable dominant transmission type and the weak stable dominant transmission type.

[0086] In implementation, the quantity-dominated transmission nodes refer to the situation where the proportion of the transmission nodes of the current transmission stability type in the total number of transmission nodes in the communication sub-region exceeds 50%. If the quantity-dominated transmission nodes in the current communication sub-region are of the strong stability transmission type, then the communication type of the current communication sub-region is the strong stability-dominated transmission type. If the quantity-dominated transmission nodes in the current communication sub-region are of the weak stability transmission type, then the communication type of the current communication sub-region is the weak stability-dominated transmission type.

[0087] Specifically, in the step S5, determining the communication monitoring strategy for predicting communication anomalies according to the communication types of the communication sub-regions includes:

[0088] If the communication type of the communication sub-region is the strong stability-dominated transmission type, the selected communication monitoring strategy is to predict whether there is a communication anomaly trend in the next communication detection cycle according to the bandwidth utilization rate;

[0089] If the communication type of the communication sub-region is the weak stability-dominated transmission type, the selected communication monitoring strategy is to determine the influencing factors and their active time in the current communication sub-region to judge the communication interference period.

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

[0091] It can be understood that the electromagnetic interference generated during the operation of industrial equipment, such as high-power motors, frequency converters, etc., will generate instantaneous voltage fluctuations in the power grid during operation, affecting the normal operation of communication equipment through conductive interference and radiation interference. At the same time, common metal structures and large mechanical equipment in the industrial environment will block or reflect radio signals, resulting in signal attenuation and multipath effects, further affecting communication quality; in addition, equipment aging and failures will also lead to performance degradation and increased interference. In terms of radio signals, some industrial equipment (such as wireless sensors, walkie-talkies, industrial wireless remote controls) may operate in public frequency bands (such as 2.4 GHz, 5 GHz), overlapping with the frequency bands of public network cluster communication, resulting in co-channel interference or adjacent-channel interference. Multipath propagation interference will cause delay spread and inter-symbol interference in the signal during transmission due to reflection, refraction, and diffraction. Moreover, the harsh environmental conditions in the industrial field, such as dust, high temperature, mechanical vibration, etc., as well as natural phenomena such as lightning, rain, and fog, will all have a negative impact on the stability and service life of wireless communication equipment, thus interfering with the normal operation of wired and wireless communication.

[0092] The active time is the communication detection cycle involved by the influencing factor during daily work, and this part of the communication detection cycle is the communication interference period.

[0093] Specifically, judging that there is a communication anomaly trend is:

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

[0095] In implementation, the standard redundant bandwidth is 80%. It can be understood that if the bandwidth utilization rate is greater than 80% for a long time, it will cause network congestion, and the heartbeat interval needs to be dynamically adjusted or non-critical service traffic needs to be restricted. In a public network cluster, generally, 20% redundant bandwidth is reserved when multiple terminals concurrently upload data to avoid congestion.

[0096] In the present invention, for sub-regions of different communication types, different communication monitoring strategies are adopted to predict communication anomalies, achieving effective management and optimization of complex network environments. For sub-regions dominated by strong stability, a monitoring strategy based on bandwidth utilization rate is adopted to predict the trend of communication anomalies. When the bandwidth utilization rate exceeds the standard redundant bandwidth utilization rate, it is determined that there is a trend of communication anomaly in the next detection period, which is applicable to network congestion situations. Congestion is avoided by dynamically adjusting the heartbeat interval or restricting non-critical service traffic. For sub-regions dominated by weak stability, it focuses on determining the influencing factors (such as industrial equipment, radio signals, etc.) and their active times to judge the communication interference period. This method fully considers the influence of various interference factors on communication in the industrial environment, such as electromagnetic interference, physical obstruction, equipment aging, frequency band overlap, etc. By accurately identifying and dealing with these interferences, the stability and reliability of the communication network are improved, providing strong support for the optimization of the communication network in complex environments.

[0097] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of devices, methods, and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagram may represent a module, a program segment, or a part of code, and the module, program segment, or part of code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than marked in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and combinations of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based device for performing the specified functions or operations, or can be implemented by 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, rather than limitations on the implementation manners of the present invention. For those of ordinary skill in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to enumerate all the implementation manners here. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the claims of the present invention.

Claims

1. A method for monitoring and analyzing public network trunking integrated communication, characterized in that, including; Step S1: Determine the coverage range of the public network cluster, the locations of all transmission nodes within the coverage range, and the data transmission types included in each communication. The data transmission types include video data, image data, audio data, and file data; Step S2: Determine the latency time, packet loss rate, and bandwidth utilization rate of information transmission of each transmission node within a single communication detection period; Step S3: Determine the transmission stability characterization parameter of the corresponding transmission node according to the latency time of each transmission node, and determine the transmission stability type of the transmission node in combination with the packet loss rate and the data transmission type; Step S4: Divide the coverage range into communication sub-regions according to the transmission stability types of each transmission node within a continuous number of communication detection periods, and determine the communication types of each communication sub-region; Step S5: Determine a communication monitoring strategy to predict communication anomalies according to the communication types of each communication sub-region. The communication monitoring strategy includes: predicting whether there is a communication anomaly trend in the next communication detection period according to the bandwidth utilization rate, and determining the influencing factors and their active times in the current communication sub-region to judge the communication interference period.

2. The public network trunking integrated communication monitoring and analysis method according to claim 1, wherein In the step S1, the number range of data transmission types included in each communication is from 1 to 4.

3. The public network cluster integrated communication monitoring and analysis method according to claim 2, characterized in that, In the step S2, determining the latency time and packet loss rate of information transmission of each transmission node within a single communication detection period includes: Setting a preset heartbeat interval, and each transmission node sends a heartbeat detection signal to other connected transmission nodes; Counting the response times and the corresponding round-trip times of successful responses; Determining the packet loss rate according to the number of successful responses and the number of heartbeat detection signals sent, and determining the latency time according to each round-trip time.

4. The public network cluster integrated communication monitoring and analysis method according to claim 3, wherein In the step S3, determining the transmission stability characterization parameter of each transmission node includes: Obtaining all the latency times of the current communication detection period and the total number of transmissions of the heartbeat detection signal; Calculating the average latency time and the average deviation of all latency times; Determining the transmission stability characterization parameter according to the ratio of the average deviation to the average latency and the ratio of the total number of transmissions to the number of responses of the heartbeat detection signal.

5. The public network trunking integrated communication monitoring and analysis method according to claim 4, wherein Determining the transmission stability type of the corresponding transmission node according to the transmission stability characterization parameter, the packet loss rate, and the data transmission type includes: If the transmission node meets the transmission stability condition, the transmission stability type of the current transmission node is a strong stability transmission type; If the transmission node does not meet the transmission stability condition, the transmission stability type of the current transmission node is a weak stability transmission type; Among them, the transmission stability condition is that the transmission stability characterization parameter is less than the standard transmission characterization parameter, and the packet loss rates of audio data transmission and video data transmission are respectively lower than the corresponding standard packet loss rates.

6. The public network trunking convergence communication monitoring and analysis method according to claim 5, characterized in that In the step S4, dividing the coverage range into communication sub-regions according to the transmission stability types of each transmission node within a continuous number of communication detection periods includes, Determining the boundary line of the communication sub-region according to the transmission stability type of each transmission node and the location of each transmission node; Determine each communication sub-region according to the edge of the coverage range and / or the boundary line of the communication sub-region.

7. The public network cluster converged communication monitoring and analysis method according to claim 6, wherein The communication type of the communication sub-region is determined according to the transmission nodes of the transmission stability type that dominates in number in the current communication sub-region; Among them, the communication types of the communication sub-region include a strong stability-dominated transmission type and a weak stability-dominated transmission type.

8. The public network trunking integrated communication monitoring and analysis method according to claim 7, characterized in that In the step S5, determining the communication monitoring strategy to predict communication anomalies according to the communication types of the communication sub-regions includes: If the communication type of the communication sub-region is a strong stability-dominated transmission type, the selected communication monitoring strategy is to predict whether there is a communication anomaly trend in the next communication detection period according to the bandwidth utilization rate; If the communication type of the communication sub-region is a weak stability-dominated transmission type, the selected communication monitoring strategy is to determine the influencing factors and their active time in the current communication sub-region to judge the communication interference period.

9. The public network cluster integrated communication monitoring and analysis method according to claim 8, characterized in that, Judging that there is a communication anomaly trend is: If the bandwidth utilization rate in the current communication detection period exceeds the standard redundant bandwidth utilization rate, it is determined that there is a communication anomaly trend in the next communication detection period.

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