A comprehensive management method and system for communication devices based on 5G messaging

Abstract

The present invention is applicable to the field of communication network optimization technology, and provides a method and system for integrated management of communication equipment based on 5G messages, the method comprising: when a core network switch receives a transmission request from a target docking terminal, determining whether the current network state is in a peak traffic phase, and if so, obtaining the initial buffer capacity value pre-configured by the core network switch for a designated data packet of the target docking terminal based on the 5G message, as well as the historical operation log of the target docking terminal. The present invention introduces a technical solution for dynamically adjusting the buffer capacity, and optimizes the buffer capacity of the core network switch by comprehensively considering the processing performance and data packet characteristics of the target docking terminal for the peak traffic phase of the network, thereby improving network transmission efficiency and stability.

Description

Technical Field

[0001] The present invention belongs to the technical field of communication network optimization, and in particular, to a comprehensive management method and system for communication equipment based on 5G messages. Background Art

[0002] At present, with the widespread application of 5G technology, communication equipment, especially core network switches, are facing more complex traffic management and resource scheduling problems when carrying higher and higher data traffic. In traditional communication equipment, the buffer, as a temporary storage area for network data transmission, plays a vital role in ensuring the smoothness and stability of data transmission. However, in the face of peak traffic stages, the buffer capacity of communication equipment is often unable to effectively cope with the drastic fluctuations in network traffic, resulting in problems such as data packet loss and increased latency. This is because most of the existing technologies use static configuration strategies to preset a fixed buffer capacity for the core network switch, without considering real-time traffic fluctuations and the actual processing capabilities of terminal devices.

[0003] Although some solutions have proposed methods for dynamically adjusting buffer capacity based on traffic prediction and device load, these solutions generally have problems such as slow adjustment response, insufficient accuracy, and inability to finely match traffic changes. Especially during peak traffic phases, core network switches are usually unable to make accurate dynamic adjustments based on real-time changing network conditions and the processing capabilities of terminal devices. Existing buffer capacity optimization methods fail to fully combine the actual processing performance of the target docking terminal with the characteristics of the data packet, resulting in unreasonable resource allocation, low network resource utilization, unstable network performance, and other problems. Summary of the invention

[0004] The purpose of the present invention is to provide a comprehensive management method for communication equipment based on 5G messages, aiming to solve the problems raised in the background technology.

[0005] The present invention is implemented as follows: a comprehensive management method for communication equipment based on 5G messages, the method comprising:

[0006] When the core network switch receives a transmission request from the target docking terminal, it determines whether the current network state is in the peak traffic stage. If so, it obtains the initial buffer capacity value pre-configured by the core network switch for the specified data packet of the target docking terminal and the historical operation log of the target docking terminal based on the 5G message;

[0007] Parse the historical operation log of the target docking terminal, extract typical data packet samples exceeding a preset number therefrom, analyze the processing performance of the target docking terminal for each typical data packet sample according to the time series, make statistics on the processing performance of all typical data packet samples, draw a time series change curve, calculate its average change slope, and set the average change slope as the first correction factor;

[0008] Filter out a comparison historical data packet that is closest to the characteristics of the specified data packet from the historical operation log of the target docking terminal, analyze the encryption or decryption processing load of the target docking terminal on the specified data packet and the comparison historical data packet, calculate the deviation ratio between the two, and set the deviation ratio as the second correction factor;

[0009] The initial buffer capacity value is comprehensively adjusted in combination with the first correction factor and the second correction factor to generate a final optimized dynamic buffer capacity value.

[0010] As a further limitation of the technical solution of the embodiment of the present invention, the steps of parsing the historical operation log of the target docking terminal, extracting typical data packet samples exceeding a preset number therefrom, analyzing the processing performance of the target docking terminal for each typical data packet sample according to a time series, performing statistics on the processing performance of all typical data packet samples, drawing a time series change curve, and calculating its average change slope, and setting the average change slope as the first correction factor include:

[0011] Parse the historical operation logs of the target docking terminal, filter out typical data packet samples that are consistent in protocol type, size, and transmission direction and are suitable for processing performance analysis requirements, ensure that the number of extracted samples exceeds the preset number, and record the timestamp and processing performance indicators of each typical data packet sample;

[0012] Analyze the processing performance of each typical data packet sample according to the time series, and quantify it into the comprehensive value of the processing time and processing task load of each typical data packet sample processed by the target docking terminal. Arrange and record these comprehensive values ​​to form the time series data of processing performance in chronological order.

[0013] The processing performance time series data of typical data packet samples are used to draw a change curve, the overall change trend of the change curve is statistically analyzed and its average change slope is calculated, and the average change slope is used as the first correction factor.

[0014] As a further limitation of the technical solution of the embodiment of the present invention, the steps of selecting a comparison historical data packet that is closest to the characteristics of a specified data packet from the historical operation log of the target docking terminal, analyzing the encryption or decryption processing load of the target docking terminal for the specified data packet and the comparison historical data packet, and calculating the deviation ratio between the two, and setting the deviation ratio as the second correction factor include:

[0015] Parse the historical operation log of the target docking terminal, and select the historical data packet with the highest comprehensive similarity according to the characteristics of the protocol type, size, and transmission direction of the specified data packet as the historical data packet for comparison;

[0016] According to the historical operation log, determine the encryption or decryption processing load of the target docking terminal for the specified data packet and the comparison historical data packet, specifically quantify it as the amount of data processed per second, so as to calculate the encryption or decryption processing load value of the specified data packet and the comparison historical data packet;

[0017] According to the encryption or decryption processing load values ​​of the designated data packet and the compared historical data packet, a deviation ratio between the two is calculated, and the deviation ratio is set as a second correction factor.

[0018] As a further limitation of the technical solution of the embodiment of the present invention, the step of comprehensively adjusting the initial buffer capacity value in combination with the first correction factor and the second correction factor to generate the final optimized dynamic buffer capacity value includes:

[0019] Retrieving a buffer capacity value optimization formula, and comprehensively adjusting the initial buffer capacity value in combination with the first correction factor and the second correction factor to generate a final optimized dynamic buffer capacity value;

[0020] The generated dynamic buffer capacity value is applied to the core network switch.

[0021] As a further limitation of the technical solution of the embodiment of the present invention, the buffer capacity value optimization formula is:

[0022] ;

[0023] Among them, C final Refers to the optimized dynamic buffer capacity value, C initial refers to the initial buffer capacity value, n refers to the total number of typical data packet samples, S i refers to the change slope of the i-th segment in the change curve, w1 refers to the adjustment coefficient used to adjust the influence of the average change slope on the buffer capacity adjustment, L s Refers to the encryption or decryption processing load value of a specified data packet, L h refers to the encryption or decryption processing load value compared with the historical data packets, w2 refers to the adjustment coefficient used to adjust the effect of the deviation ratio on the buffer capacity adjustment;

[0024] refers to the average slope of change, Refers to the deviation ratio.

[0025] A 5G message-based integrated management system for communication equipment, the system comprising: a data acquisition module, a first correction factor determination module, a second correction factor determination module, and a buffer capacity value optimization module, wherein:

[0026] The data acquisition module is used to determine whether the current network state is in the peak traffic stage when the core network switch receives the transmission request of the target docking terminal. If so, the initial buffer capacity value pre-configured by the core network switch for the specified data packet of the target docking terminal and the historical operation log of the target docking terminal are obtained based on the 5G message;

[0027] A first correction factor determination module is used to parse the historical operation log of the target docking terminal, extract typical data packet samples exceeding a preset number therefrom, and analyze the processing performance of the target docking terminal for each typical data packet sample according to a time series, perform statistics on the processing performance of all typical data packet samples, draw a time series change curve, and calculate its average change slope, and set the average change slope as the first correction factor;

[0028] A second correction factor determination module is used to select a comparison historical data packet that is closest to the characteristics of the specified data packet from the historical operation log of the target docking terminal, analyze the encryption or decryption processing load of the target docking terminal on the specified data packet and the comparison historical data packet, and calculate the deviation ratio between the two, and set the deviation ratio as the second correction factor;

[0029] The buffer capacity value optimization module is used to combine the first correction factor and the second correction factor to comprehensively adjust the initial buffer capacity value to generate a final optimized dynamic buffer capacity value.

[0030] As a further limitation of the technical solution of the embodiment of the present invention, the first correction factor determination module specifically includes:

[0031] A typical data packet sample extraction unit is used to parse the historical operation log of the target docking terminal, filter out typical data packet samples that are consistent in protocol type, size and transmission direction and are adapted to the processing performance analysis requirements, ensure that the number of extracted samples exceeds the preset number, and record the timestamp and processing performance indicators of each typical data packet sample;

[0032] A time series data acquisition unit is used to analyze the processing performance of each typical data packet sample according to the time series, specifically quantify the comprehensive value of the processing time and processing task load of each typical data packet sample processed by the target docking terminal, sort out and record these comprehensive values, and form the time series data of the processing performance in chronological order;

[0033] The average change slope calculation unit is used to draw a change curve using the processing performance time series data of a typical data packet sample, statistically analyze the overall change trend of the change curve and calculate its average change slope, and use the average change slope as the first correction factor.

[0034] As a further limitation of the technical solution of the embodiment of the present invention, the second correction factor determination module specifically includes:

[0035] A comparison historical data packet determination unit is used to parse the historical operation log of the target docking terminal, and select the historical data packet with the highest comprehensive similarity according to the characteristics of the protocol type, size, and transmission direction of the specified data packet as the comparison historical data packet;

[0036] A processing load value calculation unit is used to determine the encryption or decryption processing load of the target docking terminal for the specified data packet and the comparison historical data packet according to the historical operation log, specifically quantified as the amount of data processed per second, so as to calculate the encryption or decryption processing load value of the specified data packet and the comparison historical data packet;

[0037] The deviation ratio calculation unit is used to calculate the deviation ratio between the designated data packet and the compared historical data packet according to the encryption or decryption processing load value of the two, and set the deviation ratio as the second correction factor.

[0038] As a further limitation of the technical solution of the embodiment of the present invention, the buffer capacity value optimization module specifically includes:

[0039] A dynamic buffer capacity value calculation unit, used to retrieve a buffer capacity value optimization formula, and comprehensively adjust the initial buffer capacity value in combination with a first correction factor and a second correction factor to generate a final optimized dynamic buffer capacity value;

[0040] The dynamic buffer capacity value application unit is used to apply the generated dynamic buffer capacity value to the core network switch.

[0041] As a further limitation of the technical solution of the embodiment of the present invention, the buffer capacity value optimization formula is:

[0042] ;

[0043] Among them, C final Refers to the optimized dynamic buffer capacity value, C initial refers to the initial buffer capacity value, n refers to the total number of typical data packet samples, S i refers to the change slope of the i-th segment in the change curve, w1 refers to the adjustment coefficient used to adjust the influence of the average change slope on the buffer capacity adjustment, L s Refers to the encryption or decryption processing load value of a specified data packet, L hrefers to the encryption or decryption processing load value compared with the historical data packets, w2 refers to the adjustment coefficient used to adjust the effect of the deviation ratio on the buffer capacity adjustment;

[0044] refers to the average slope of change, Refers to the deviation ratio.

[0045] Compared with the prior art, the present invention has the following beneficial effects:

[0046] The present invention introduces a technical solution for dynamically adjusting the buffer capacity, and optimizes the buffer capacity of the core network switch by comprehensively considering the processing performance and data packet characteristics of the target docking terminal during the peak network traffic phase, thereby improving network transmission efficiency and stability. Specifically, the present invention is based on the historical operation log of the target docking terminal and the processing performance of the specified data packet, combined with the first correction factor (based on the time series change trend of the data packet processing performance) and the second correction factor (based on the deviation ratio of the specified data packet and the comparison data packet processing load), and comprehensively adjusts the initial buffer capacity value to obtain the final optimized dynamic buffer capacity.

[0047] This technical solution has significant advantages. First, by dynamically adjusting the buffer capacity in real time, it is possible to effectively cope with network peak traffic fluctuations and improve the utilization of network resources. Secondly, by accurately analyzing the processing performance of the target docking terminal and the changes in the encryption and decryption load, it is ensured that the adjusted buffer capacity can accurately match the actual network load situation, avoiding the problem of over-configuration or under-configuration and improving transmission efficiency. Compared with the traditional static buffer configuration solution, the present invention can dynamically respond to changes in network status and load, effectively reducing delays and data packet loss, thereby optimizing overall network performance.

[0048] In addition, the present invention can automatically adjust the buffer capacity according to real-time data and load characteristics, reducing the manual intervention and configuration pressure of network administrators, has strong adaptability and flexibility, and is suitable for a variety of different network environments and load conditions. This solution has important application prospects for improving the performance and reliability of 5G and future networks. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 A flowchart of a method provided by an embodiment of the present invention;

[0050] Figure 2 A flow chart of determining a first correction factor in a method provided in an embodiment of the present invention;

[0051] Figure 3 A flow chart of determining a second correction factor in the method provided in an embodiment of the present invention;

[0052] Figure 4 A flow chart of optimizing the initial buffer capacity value in the method provided in an embodiment of the present invention;

[0053] Figure 5 An application architecture diagram of a system provided by an embodiment of the present invention;

[0054] Figure 6 A structural block diagram of a first correction factor determination module in a system provided by an embodiment of the present invention;

[0055] Figure 7 A structural block diagram of a second correction factor determination module in a system provided by an embodiment of the present invention;

[0056] Figure 8 A structural block diagram of a buffer capacity value optimization module in a system provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0057] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0058] Figure 1 A flow chart of a method provided by an embodiment of the present invention is shown.

[0059] Specifically, a method for integrated management of communication equipment based on 5G messages comprises the following steps:

[0060] Step S100, when the core network switch receives a transmission request from the target docking terminal, it determines whether the current network state is in the peak traffic stage. If so, the core network switch obtains the initial buffer capacity value pre-configured for the specified data packet of the target docking terminal based on the 5G message, as well as the historical operation log of the target docking terminal.

[0061] In the embodiment of the present invention, the core network switch is a key device in the communication network, which is responsible for data forwarding and switching between different network nodes. As part of the core network, it handles a large amount of network traffic and usually has a high degree of reliability and redundancy. The task of the core network switch is not only simple data forwarding, but also includes load balancing, traffic optimization, network switching, and conversion between different protocols. It is a hardware device, but in modern communications, some virtualization technologies can also be integrated to adapt to the ever-changing network needs.

[0062] The target docking terminal can be any device that communicates data with the core network switch, usually including mobile terminals, IoT devices, servers, routers, etc. In the 5G network environment, the target docking terminal usually refers to the 5G device that transmits data with the core network switch, such as 5G user equipment (UE), base station (gNodeB) or other access devices. Depending on the network architecture, the target docking terminal can be an end-user device or a network transit device, which depends on the design of the data transmission path and the actual application scenario.

[0063] Determining whether the current network status is at the peak traffic stage is usually achieved through network traffic monitoring and load analysis. Core network switches and other network devices (such as traffic monitors, load balancers, etc.) can collect network traffic data in real time, such as the number of packets per unit time, data rate, number of device connections, etc. If these indicators exceed a certain threshold, it means that the current network may be at the peak traffic stage. Based on these real-time monitoring data, the core network switch will perform traffic analysis to determine whether it is necessary to enter the peak traffic management mode and perform operations such as buffer optimization, traffic control or bandwidth allocation.

[0064] Obtaining the initial buffer capacity value pre-configured by the core network switch for the specified data packet of the target docking terminal based on 5G messages mainly depends on the communication protocol of the 5G network and the configuration management of the switch. During the 5G message transmission process, the core network switch will exchange information with the target docking terminal, including bandwidth requirements, network resource requests, etc. When the target docking terminal initiates a data transmission request, the switch will specify an initial buffer capacity value for the target data packet based on the protocol and the current network load. This capacity value is usually determined based on device capabilities, network status, and preset network management policies. Existing network optimization technologies, such as traffic prediction, real-time bandwidth allocation, and dynamic resource scheduling, will play a role in this process, and dynamic adjustment of the buffer will be achieved through data transmission protocols (such as GTP, SCTP, etc.) and network management systems (such as SDN, NFV).

[0065] The historical operation log of the target docking terminal is automatically generated by the terminal device during operation. Each target docking terminal usually records its communication history in the network, including the time, frequency, delay, packet loss rate, encryption / decryption load and other information of data packet transmission. These log data will be transmitted to the core network switch or a dedicated management system for storage and analysis. In the 5G network, the core network switch will summarize these log information to form historical data for subsequent analysis. By analyzing these historical logs, the core network switch can understand the operating performance of the target docking terminal under different network conditions, thereby providing a basis for subsequent optimization decisions.

[0066] Furthermore, the 5G message-based communication equipment integrated management method further includes the following steps:

[0067] Step S200, parse the historical operation log of the target docking terminal, extract more than a preset number of typical data packet samples therefrom, and analyze the processing performance of the target docking terminal for each typical data packet sample according to a time series, perform statistics on the processing performance of all typical data packet samples, draw a time series change curve, and calculate its average change slope, and set the average change slope as the first correction factor.

[0068] Specifically, Figure 2 A flow chart for determining a first correction factor is shown.

[0069] The process of parsing the historical operation log of the target docking terminal, extracting more than a preset number of typical data packet samples, analyzing the processing performance of the target docking terminal for each typical data packet sample according to the time series, statistically analyzing the processing performance of all typical data packet samples, drawing a time series change curve, and calculating its average change slope, and setting the average change slope as the first correction factor specifically includes the following steps:

[0070] Step S201, parsing the historical operation log of the target docking terminal, screening out typical data packet samples that are consistent in protocol type, size and transmission direction and adapted to the processing performance analysis requirements, ensuring that the number of extracted samples exceeds a preset number, and recording the timestamp and processing performance index of each typical data packet sample;

[0071] Step S202, analyzing the processing performance of each typical data packet sample according to the time series, specifically quantifying the comprehensive value of the processing time and the processing task load of each typical data packet sample processed by the target docking terminal, collating and recording these comprehensive values, and forming time series data of the processing performance in chronological order;

[0072] Step S203, using the processing performance time series data of typical data packet samples to draw a change curve, statistically analyzing the overall change trend of the change curve and calculating its average change slope, and using the average change slope as the first correction factor.

[0073] In an embodiment of the present invention, when parsing the historical operation log of the target docking terminal, it is first necessary to extract relevant information of the data packet from the log, especially key attributes such as protocol type, data packet size and transmission direction. In order to ensure that the data packet sample can adapt to the processing performance analysis requirements, the screening process must follow certain standards. First, typical data packet samples with consistency in protocol type should be selected to ensure that they use the same protocol, such as the 5G NR protocol. This is because data packets under different protocols differ in transmission and processing mechanisms, and selecting data packets of the same protocol helps to unify the performance analysis standards. Secondly, the typical data packet samples screened out should have a certain range and consistency in data packet size to avoid data packets that are too small or too large from affecting the processing performance analysis. Generally, the selected size should match the target data packet, so that it can more truly reflect the processing capability of the target terminal under a specific data packet size and ensure that the sample is representative. Finally, it is also necessary to ensure that these data packets are consistent with the target data packet in the transmission direction. The transmission direction (uplink or downlink) will affect the processing load of the terminal. Selecting data packet samples with the same transmission direction as the target data packet makes the analysis of processing performance more accurate.

[0074] Therefore, during the screening process, the goal is to extract a set of typical data packet samples that are consistent in protocol type, data packet size, and transmission direction and are representative. These data packet samples can effectively reflect the processing performance of the target docking terminal through their common attributes and characteristics, and provide an effective basis for subsequent performance analysis, ensuring the accuracy and adaptability of processing performance analysis.

[0075] The setting of the preset number is of great significance. It helps ensure that the sample size of the extracted data packets is large enough to represent the processing performance of the target docking terminal under various conditions. If the number of samples is too small, it may lead to biased analysis results because the number of samples is not enough to cover the performance changes of the target terminal under different network conditions. Generally, the preset number should be based on system performance requirements or historical data analysis experience to ensure that it can cover sufficient network load and performance changes.

[0076] For the process of "specifically quantifying the comprehensive value of the processing time and processing task load of each typical data packet sample processed by the target docking terminal", it is first necessary to determine the processing time of each data packet, that is, the time required for the target docking terminal to process the data packet. Then, the processing task load (such as encryption / decryption operations, computing requirements, etc.) is combined with the processing time to calculate the comprehensive load value of each data packet. This comprehensive value can be obtained by weighted average or multiplication, taking into account factors such as the size of the data packet, processing complexity and processing delay, so as to quantify the load capacity of the target terminal when processing the data packet. For example, if the processing time of a data packet is 5 milliseconds and its encryption load is a 10KB data encryption task, its comprehensive processing load can be obtained by weighting or multiplying the processing time and the load to obtain a comprehensive value.

[0077] Using the processing performance time series data of typical data packet samples to draw a change curve, statistically analyze the overall change trend of the change curve and calculate its average change slope, is the basis and significance of correcting the initial buffer capacity value. The change curve reflects the change in processing performance of the target docking terminal at different time points, especially in the peak traffic stage, the performance may decline. By calculating the average slope of the time series change curve, the trend of terminal processing performance over time can be quantified. If the slope is large, it means that the processing capacity fluctuates greatly in a short period of time; if the slope is small, it means that the processing capacity is relatively stable. The first correction factor, as the quantitative value of this slope, can provide a basis for adjusting the buffer capacity, ensuring that the buffer capacity can be reasonably adjusted in time under different load conditions to avoid packet loss or delay. For example, when the slope is large, it indicates that the terminal processing capacity is unstable and the buffer capacity may need to be expanded; when the slope is small, it indicates that the processing capacity is relatively stable, and the buffer capacity can be appropriately reduced to save system resources. Therefore, the first correction factor directly affects the adjustment of the dynamic buffer capacity, thereby improving the transmission efficiency and network stability of the system.

[0078] Furthermore, the 5G message-based communication equipment integrated management method further includes the following steps:

[0079] Step S300, filter out the comparison historical data packet that is closest to the specified data packet characteristics from the historical operation log of the target docking terminal, analyze the encryption or decryption processing load of the target docking terminal for the specified data packet and the comparison historical data packet, and calculate the deviation ratio between the two, and set the deviation ratio as the second correction factor.

[0080] Specifically, Figure 3 A flow chart for determining the second correction factor is shown.

[0081] The method of selecting a comparison historical data packet that is closest to the characteristics of a specified data packet from the historical operation log of the target docking terminal, analyzing the encryption or decryption processing load of the target docking terminal on the specified data packet and the comparison historical data packet, and calculating the deviation ratio between the two, and setting the deviation ratio as the second correction factor specifically includes the following steps:

[0082] Step S301, parsing the historical operation log of the target docking terminal, and selecting the historical data packet with the highest comprehensive similarity according to the characteristics of the protocol type, size, and transmission direction of the specified data packet as the historical data packet for comparison;

[0083] Step S302: Determine the encryption or decryption processing load of the target docking terminal for the specified data packet and the comparison historical data packet according to the historical operation log, specifically quantify it as the amount of data processed per second, so as to calculate the encryption or decryption processing load value of the specified data packet and the comparison historical data packet;

[0084] Step S303, calculating a deviation ratio between the designated data packet and the compared historical data packet according to the encryption or decryption processing load values ​​thereof, and setting the deviation ratio as a second correction factor.

[0085] In an embodiment of the present invention, in the process of determining the historical data packet for comparison, it is first necessary to extract key information of the data packet from the historical operation log of the target docking terminal, which includes protocol type, data packet size, transmission direction, and possible processing time. When selecting historical data packets, first filter out data packet samples with the same protocol type as the specified data packet, for example, all use the 5G NR protocol. Then, filter out historical samples that are close to the specified data packet in data packet size to ensure that their size is consistent with the target data packet range, and avoid deviations in the analysis caused by data packets that are too large or too small. Finally, the transmission direction also needs to be consistent with the target data packet, such as selecting only uplink or downlink data packet samples. After combining the above factors, a similarity measurement formula is used to evaluate the similarity between each historical data packet and the target data packet. Generally, a weighted calculation method can be used to give different weights according to the matching degree of protocol type, data packet size and transmission direction, and calculate the comprehensive similarity value. Finally, the historical data packet that is most similar to the target data packet is selected as the comparison historical data packet.

[0086] In terms of "determining the encryption or decryption processing load of the target docking terminal for the specified data packet and the comparison historical data packet based on the historical operation log, and specifically quantifying it as the amount of data processed per second", it is first necessary to extract encryption or decryption related information from the operation log of the target docking terminal, which usually includes the encryption or decryption task of the data packet, the processing time of each task, and the amount of data processed. In order to calculate the amount of data processed per second, it is necessary to combine the processing time of each data packet with its corresponding processing load and quantify it as "the amount of data processed per second". For example, assuming that the encryption task of a data packet takes 1 second to complete, and the data packet contains 10MB of data, then the processing load of the data packet is 10MB / s. By analyzing the processing logs of the specified data packet and the comparison historical data packet, the amount of data processed per second of the two is calculated, and the encryption or decryption load value is obtained. It should be noted that the amount of data to be processed here can be the amount of encrypted or decrypted data, depending on the encryption or decryption operation of the target data packet.

[0087] The basis and significance of "calculating the deviation ratio between the encryption or decryption processing load values ​​of the specified data packet and the comparison historical data packet, and setting the deviation ratio as the second correction factor" to correct the initial buffer capacity value is that the difference in processing load will directly affect the processing capacity of the terminal. When there is a large deviation between the processing load values ​​of the specified data packet and the comparison historical data packet of the target docking terminal, it means that the change in the current network environment or device processing capacity may affect the buffer capacity demand. If there is a significant deviation between the processing loads of the two, it means that the target docking terminal may need more or less buffer resources when processing similar data packets. By calculating the deviation ratio between the two, a quantitative factor about the load change can be obtained, which reflects the change trend of the target device when processing the load. This deviation ratio is used as the second correction factor, combined with the first correction factor, to effectively adjust the initial buffer capacity value to adapt it to the current processing load situation, thereby improving the stability of data packet transmission and processing, reducing the occurrence of packet loss and delay, and ensuring the efficient operation of the network.

[0088] Furthermore, the 5G message-based communication equipment integrated management method further includes the following steps:

[0089] Step S400 , combining the first correction factor and the second correction factor, comprehensively adjusts the initial buffer capacity value to generate a final optimized dynamic buffer capacity value.

[0090] Specifically, Figure 4 A flow chart for optimizing the initial buffer capacity value is shown.

[0091] The steps of comprehensively adjusting the initial buffer capacity value by combining the first correction factor and the second correction factor to generate the final optimized dynamic buffer capacity value specifically include the following steps:

[0092] Step S401, calling the buffer capacity value optimization formula, and comprehensively adjusting the initial buffer capacity value in combination with the first correction factor and the second correction factor to generate a final optimized dynamic buffer capacity value;

[0093] Step S402: Apply the generated dynamic buffer capacity value to the core network switch.

[0094] The buffer capacity value optimization formula is:

[0095] ;

[0096] Among them, C final Refers to the optimized dynamic buffer capacity value, C initial refers to the initial buffer capacity value, n refers to the total number of typical data packet samples, S i refers to the change slope of the i-th segment in the change curve, w1 refers to the adjustment coefficient used to adjust the influence of the average change slope on the buffer capacity adjustment, L s Refers to the encryption or decryption processing load value of a specified data packet, L h refers to the encryption or decryption processing load value compared with the historical data packets, w2 refers to the adjustment coefficient used to adjust the effect of the deviation ratio on the buffer capacity adjustment;

[0097] refers to the average slope of change, Refers to the deviation ratio.

[0098] In the embodiment of the present invention, during the peak traffic phase, the challenges faced by the network generally include data transmission congestion, increased latency, increased risk of packet loss, and other issues. Based on this network environment, the adoption of this technical solution can significantly improve the transmission efficiency and stability of the core network switch. The solution first determines whether the buffer capacity needs to be dynamically adjusted by determining whether the network is in the peak traffic phase. The key advantage of this method is that it can respond to changes in traffic in real time, rather than relying on a fixed buffer capacity value.

[0099] When the network status is determined to be at the peak traffic stage, the technical solution dynamically optimizes the initial buffer capacity value based on the historical operation logs and real-time traffic data of the target docking terminal, combined with the first correction factor and the second correction factor. The first correction factor takes into account the historical processing capacity and performance fluctuations of the target docking terminal, and predicts the performance of the device during high traffic periods by analyzing the processing trends of the target device under different loads, thereby providing a theoretical basis for buffer capacity adjustment. The second correction factor further corrects the buffer capacity by comparing the encryption or decryption processing load of the specified data packet with the historical data packet to ensure that the processing capacity matches the data load.

[0100] The unique effect of this solution is reflected in its dynamic and intelligent adjustment capabilities. Unlike the traditional method of fixing the buffer capacity, this technical solution can automatically adjust the buffer size according to the real-time network load and terminal processing capacity, avoiding data packet loss or delay caused by too small a buffer, and also avoiding resource waste caused by too large a buffer. By comprehensively considering traffic fluctuations during peak traffic, device performance fluctuations and data packet characteristics, the system can effectively adapt to different network environments, ensuring smooth transmission of traffic and optimal use of system resources.

[0101] In addition, by combining the first correction factor and the second correction factor, this technical solution not only solves the problem that the traditional static buffer capacity cannot cope with complex traffic changes, but also makes more detailed adjustments based on the historical processing capacity and load requirements of the device, making the network transmission process more stable and efficient. This solution has significant advantages, which can improve the overall performance of the network during peak traffic, reduce the negative impact caused by traffic fluctuations, improve user experience, enhance system robustness, and ultimately achieve more efficient resource utilization and more stable network transmission.

[0102] Below we use a specific example to analyze the application process and effect of the entire technical solution.

[0103] First, the core network switch determines whether the current network state is at the peak traffic stage. If it is at the peak traffic stage, the subsequent operations will continue. Next, the system obtains the initial buffer capacity value of the target docking terminal from the core network switch, assuming that the initial value is 500MB.

[0104] Subsequently, 10 typical data packet samples were extracted from the historical operation log of the target docking terminal. The processing performance and timestamps of these data packets were recorded. Based on these data packet samples, we calculated their average change slope and found that the average change trend of processing performance over time was 0.5ms / time unit. Using the adjustment coefficient of the first correction factor of 0.2, the first correction factor was obtained to be 0.1.

[0105] Next, extract the encryption processing load values ​​of the specified data packet and the comparison historical data packet from the historical operation log. Assume that the encryption processing load of the specified data packet is 200MB / s and the encryption processing load of the comparison historical data packet is 150MB / s. By calculating the deviation ratio between them, the deviation ratio is 0.33. Using the adjustment coefficient of the second correction factor of 0.5, the second correction factor is 0.165.

[0106] Finally, the values ​​of the first correction factor and the second correction factor are combined to adjust the initial buffer capacity value. The initial value is 500MB, and the adjustment factor after combining the two correction factors is 1.265. Through this calculation, the final optimized dynamic buffer capacity value is 632.5MB. This optimized value will be applied to the core network switch, so that during the peak traffic phase, the buffer capacity can be dynamically adjusted according to the processing performance of the target docking terminal and the changes in the packet load to improve the transmission efficiency and stability of the network.

[0107] Furthermore, Figure 5 The application architecture diagram of the system provided by the embodiment of the present invention is shown.

[0108] Among them, in another preferred embodiment provided by the present invention, a communication equipment integrated management system based on 5G messages includes:

[0109] The data acquisition module 100 is used to determine whether the current network state is in the peak traffic stage when the core network switch receives a transmission request from the target docking terminal. If so, the initial buffer capacity value pre-configured by the core network switch for the specified data packet of the target docking terminal and the historical operation log of the target docking terminal are obtained based on the 5G message.

[0110] In the embodiment of the present invention, the core network switch is a key device in the communication network, which is responsible for data forwarding and switching between different network nodes. As part of the core network, it handles a large amount of network traffic and usually has a high degree of reliability and redundancy. The task of the core network switch is not only simple data forwarding, but also includes load balancing, traffic optimization, network switching, and conversion between different protocols. It is a hardware device, but in modern communications, some virtualization technologies can also be integrated to adapt to the ever-changing network needs.

[0111] The target docking terminal can be any device that communicates data with the core network switch, usually including mobile terminals, IoT devices, servers, routers, etc. In the 5G network environment, the target docking terminal usually refers to the 5G device that transmits data with the core network switch, such as 5G user equipment (UE), base station (gNodeB) or other access devices. Depending on the network architecture, the target docking terminal can be an end-user device or a network transit device, which depends on the design of the data transmission path and the actual application scenario.

[0112] Determining whether the current network status is at the peak traffic stage is usually achieved through network traffic monitoring and load analysis. Core network switches and other network devices (such as traffic monitors, load balancers, etc.) can collect network traffic data in real time, such as the number of packets per unit time, data rate, number of device connections, etc. If these indicators exceed a certain threshold, it means that the current network may be at the peak traffic stage. Based on these real-time monitoring data, the core network switch will perform traffic analysis to determine whether it is necessary to enter the peak traffic management mode and perform operations such as buffer optimization, traffic control or bandwidth allocation.

[0113] Obtaining the initial buffer capacity value pre-configured by the core network switch for the specified data packet of the target docking terminal based on 5G messages mainly depends on the communication protocol of the 5G network and the configuration management of the switch. During the 5G message transmission process, the core network switch will exchange information with the target docking terminal, including bandwidth requirements, network resource requests, etc. When the target docking terminal initiates a data transmission request, the switch will specify an initial buffer capacity value for the target data packet based on the protocol and the current network load. This capacity value is usually determined based on device capabilities, network status, and preset network management policies. Existing network optimization technologies, such as traffic prediction, real-time bandwidth allocation, and dynamic resource scheduling, will play a role in this process, and dynamic adjustment of the buffer will be achieved through data transmission protocols (such as GTP, SCTP, etc.) and network management systems (such as SDN, NFV).

[0114] The historical operation log of the target docking terminal is automatically generated by the terminal device during operation. Each target docking terminal usually records its communication history in the network, including the time, frequency, delay, packet loss rate, encryption / decryption load and other information of data packet transmission. These log data will be transmitted to the core network switch or a dedicated management system for storage and analysis. In the 5G network, the core network switch will summarize these log information to form historical data for subsequent analysis. By analyzing these historical logs, the core network switch can understand the operating performance of the target docking terminal under different network conditions, thereby providing a basis for subsequent optimization decisions.

[0115] Furthermore, the 5G message-based integrated management system for communication equipment also includes:

[0116] The first correction factor determination module 200 is used to parse the historical operation log of the target docking terminal, extract typical data packet samples exceeding a preset number therefrom, and analyze the processing performance of the target docking terminal for each typical data packet sample according to a time series, perform statistics on the processing performance of all typical data packet samples, draw a time series change curve, and calculate its average change slope, and set the average change slope as the first correction factor.

[0117] Specifically, Figure 6 It shows a structural block diagram of the first correction factor determination module 200 in the system provided by an embodiment of the present invention.

[0118] Among them, in the preferred implementation manner provided by the present invention, the first correction factor determination module 200 specifically includes:

[0119] The typical data packet sample extraction unit 201 is used to parse the historical operation log of the target docking terminal, filter out typical data packet samples that are consistent in protocol type, size and transmission direction and are adapted to the processing performance analysis requirements, ensure that the number of extracted samples exceeds a preset number, and record the timestamp and processing performance index of each typical data packet sample;

[0120] The time series data acquisition unit 202 is used to analyze the processing performance of each typical data packet sample according to the time series, specifically quantify the comprehensive value of the processing time and the processing task load of each typical data packet sample processed by the target docking terminal, sort and record these comprehensive values, and form the time series data of the processing performance in chronological order;

[0121] The average change slope calculation unit 203 is used to draw a change curve using the processing performance time series data of typical data packet samples, count the overall change trend of the change curve and calculate its average change slope, and use the average change slope as the first correction factor.

[0122] In an embodiment of the present invention, when parsing the historical operation log of the target docking terminal, it is first necessary to extract relevant information of the data packet from the log, especially key attributes such as protocol type, data packet size and transmission direction. In order to ensure that the data packet sample can adapt to the processing performance analysis requirements, the screening process must follow certain standards. First, typical data packet samples with consistency in protocol type should be selected to ensure that they use the same protocol, such as the 5G NR protocol. This is because data packets under different protocols differ in transmission and processing mechanisms, and selecting data packets of the same protocol helps to unify the performance analysis standards. Secondly, the typical data packet samples screened out should have a certain range and consistency in data packet size to avoid data packets that are too small or too large from affecting the processing performance analysis. Generally, the selected size should match the target data packet, so that it can more truly reflect the processing capability of the target terminal under a specific data packet size and ensure that the sample is representative. Finally, it is also necessary to ensure that these data packets are consistent with the target data packet in the transmission direction. The transmission direction (uplink or downlink) will affect the processing load of the terminal. Selecting data packet samples with the same transmission direction as the target data packet makes the analysis of processing performance more accurate.

[0123] Therefore, during the screening process, the goal is to extract a set of typical data packet samples that are consistent in protocol type, data packet size, and transmission direction and are representative. These data packet samples can effectively reflect the processing performance of the target docking terminal through their common attributes and characteristics, and provide an effective basis for subsequent performance analysis, ensuring the accuracy and adaptability of processing performance analysis.

[0124] The setting of the preset number is of great significance. It helps ensure that the sample size of the extracted data packets is large enough to represent the processing performance of the target docking terminal under various conditions. If the number of samples is too small, it may lead to biased analysis results because the number of samples is not enough to cover the performance changes of the target terminal under different network conditions. Generally, the preset number should be based on system performance requirements or historical data analysis experience to ensure that it can cover sufficient network load and performance changes.

[0125] For the process of "specifically quantifying the comprehensive value of the processing time and processing task load of each typical data packet sample processed by the target docking terminal", it is first necessary to determine the processing time of each data packet, that is, the time required for the target docking terminal to process the data packet. Then, the processing task load (such as encryption / decryption operations, computing requirements, etc.) is combined with the processing time to calculate the comprehensive load value of each data packet. This comprehensive value can be obtained by weighted average or multiplication, taking into account factors such as the size of the data packet, processing complexity and processing delay, so as to quantify the load capacity of the target terminal when processing the data packet. For example, if the processing time of a data packet is 5 milliseconds and its encryption load is a 10KB data encryption task, its comprehensive processing load can be obtained by weighting or multiplying the processing time and the load to obtain a comprehensive value.

[0126] Using the processing performance time series data of typical data packet samples to draw a change curve, statistically analyze the overall change trend of the change curve and calculate its average change slope, is the basis and significance of correcting the initial buffer capacity value. The change curve reflects the change in processing performance of the target docking terminal at different time points, especially in the peak traffic stage, the performance may decline. By calculating the average slope of the time series change curve, the trend of terminal processing performance over time can be quantified. If the slope is large, it means that the processing capacity fluctuates greatly in a short period of time; if the slope is small, it means that the processing capacity is relatively stable. The first correction factor, as the quantitative value of this slope, can provide a basis for adjusting the buffer capacity, ensuring that the buffer capacity can be reasonably adjusted in time under different load conditions to avoid packet loss or delay. For example, when the slope is large, it indicates that the terminal processing capacity is unstable and the buffer capacity may need to be expanded; when the slope is small, it indicates that the processing capacity is relatively stable, and the buffer capacity can be appropriately reduced to save system resources. Therefore, the first correction factor directly affects the adjustment of the dynamic buffer capacity, thereby improving the transmission efficiency and network stability of the system.

[0127] Furthermore, the 5G message-based integrated management system for communication equipment also includes:

[0128] The second correction factor determination module 300 is used to filter out the comparison historical data packets that are closest to the characteristics of the specified data packets from the historical operation logs of the target docking terminal, analyze the encryption or decryption processing load of the target docking terminal for the specified data packets and the comparison historical data packets, and calculate the deviation ratio between the two, and set the deviation ratio as the second correction factor.

[0129] Specifically, Figure 7 It shows a structural block diagram of the second correction factor determination module 300 in the system provided by an embodiment of the present invention.

[0130] Among them, in the preferred implementation manner provided by the present invention, the second correction factor determination module 300 specifically includes:

[0131] The comparison historical data packet determination unit 301 is used to parse the historical operation log of the target docking terminal, and select the historical data packet with the highest comprehensive similarity according to the characteristics of the protocol type, size, and transmission direction of the specified data packet as the comparison historical data packet;

[0132] The processing load value calculation unit 302 is used to determine the encryption or decryption processing load of the target docking terminal for the specified data packet and the comparison historical data packet according to the historical operation log, which is specifically quantified as the amount of data processed per second to calculate the encryption or decryption processing load value of the specified data packet and the comparison historical data packet;

[0133] The deviation ratio calculation unit 303 is used to calculate the deviation ratio between the designated data packet and the compared historical data packet according to the encryption or decryption processing load value thereof, and set the deviation ratio as the second correction factor.

[0134] In an embodiment of the present invention, in the process of determining the historical data packet for comparison, it is first necessary to extract key information of the data packet from the historical operation log of the target docking terminal, which includes protocol type, data packet size, transmission direction, and possible processing time. When selecting historical data packets, first filter out data packet samples with the same protocol type as the specified data packet, for example, all use the 5G NR protocol. Then, filter out historical samples that are close to the specified data packet in data packet size to ensure that their size is consistent with the target data packet range, and avoid deviations in the analysis caused by data packets that are too large or too small. Finally, the transmission direction also needs to be consistent with the target data packet, such as selecting only uplink or downlink data packet samples. After combining the above factors, a similarity measurement formula is used to evaluate the similarity between each historical data packet and the target data packet. Generally, a weighted calculation method can be used to give different weights according to the matching degree of protocol type, data packet size and transmission direction, and calculate the comprehensive similarity value. Finally, the historical data packet that is most similar to the target data packet is selected as the comparison historical data packet.

[0135] In terms of "determining the encryption or decryption processing load of the target docking terminal for the specified data packet and the comparison historical data packet based on the historical operation log, and specifically quantifying it as the amount of data processed per second", it is first necessary to extract encryption or decryption related information from the operation log of the target docking terminal, which usually includes the encryption or decryption task of the data packet, the processing time of each task, and the amount of data processed. In order to calculate the amount of data processed per second, it is necessary to combine the processing time of each data packet with its corresponding processing load and quantify it as "the amount of data processed per second". For example, assuming that the encryption task of a data packet takes 1 second to complete, and the data packet contains 10MB of data, then the processing load of the data packet is 10MB / s. By analyzing the processing logs of the specified data packet and the comparison historical data packet, the amount of data processed per second of the two is calculated, and the encryption or decryption load value is obtained. It should be noted that the amount of data to be processed here can be the amount of encrypted or decrypted data, depending on the encryption or decryption operation of the target data packet.

[0136] Furthermore, the 5G message-based integrated management system for communication equipment also includes:

[0137] The buffer capacity value optimization module 400 is used to combine the first correction factor and the second correction factor to comprehensively adjust the initial buffer capacity value to generate a final optimized dynamic buffer capacity value.

[0138] Specifically, Figure 8 It shows a structural block diagram of a buffer capacity value optimization module 400 in a system provided by an embodiment of the present invention.

[0139] In the preferred implementation of the present invention, the buffer capacity value optimization module 400 specifically includes:

[0140] The dynamic buffer capacity value calculation unit 401 is used to retrieve the buffer capacity value optimization formula, and comprehensively adjust the initial buffer capacity value in combination with the first correction factor and the second correction factor to generate a final optimized dynamic buffer capacity value;

[0141] The dynamic buffer capacity value application unit 402 is configured to apply the generated dynamic buffer capacity value to the core network switch.

[0142] The buffer capacity value optimization formula is:

[0143] ;

[0144] Among them, C final Refers to the optimized dynamic buffer capacity value, C initial refers to the initial buffer capacity value, n refers to the total number of typical data packet samples, S irefers to the change slope of the i-th segment in the change curve, w1 refers to the adjustment coefficient used to adjust the influence of the average change slope on the buffer capacity adjustment, L s Refers to the encryption or decryption processing load value of a specified data packet, L h refers to the encryption or decryption processing load value compared with the historical data packets, w2 refers to the adjustment coefficient used to adjust the effect of the deviation ratio on the buffer capacity adjustment;

[0145] refers to the average slope of change, Refers to the deviation ratio.

[0146] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0147] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

[0148] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A comprehensive management method for communication equipment based on 5G messages, characterized in that: The method comprises: When the core network switch receives a transmission request from the target docking terminal, it determines whether the current network state is in the peak traffic stage. If so, it obtains the initial buffer capacity value pre-configured by the core network switch for the specified data packet of the target docking terminal and the historical operation log of the target docking terminal based on the 5G message; Parse the historical operation log of the target docking terminal, extract typical data packet samples exceeding a preset number therefrom, analyze the processing performance of the target docking terminal for each typical data packet sample according to the time series, make statistics on the processing performance of all typical data packet samples, draw a time series change curve, calculate its average change slope, and set the average change slope as the first correction factor; Filter out a comparison historical data packet that is closest to the characteristics of the specified data packet from the historical operation log of the target docking terminal, analyze the encryption or decryption processing load of the target docking terminal on the specified data packet and the comparison historical data packet, calculate the deviation ratio between the two, and set the deviation ratio as the second correction factor; The initial buffer capacity value is comprehensively adjusted in combination with the first correction factor and the second correction factor to generate a final optimized dynamic buffer capacity value.

2. The integrated management method for communication equipment based on 5G messages according to claim 1 is characterized in that: The steps of parsing the historical operation log of the target docking terminal, extracting more than a preset number of typical data packet samples therefrom, analyzing the processing performance of the target docking terminal for each typical data packet sample according to the time series, performing statistics on the processing performance of all typical data packet samples, drawing a time series change curve, and calculating its average change slope, and setting the average change slope as the first correction factor include: Parse the historical operation logs of the target docking terminal, filter out typical data packet samples that are consistent in protocol type, size, and transmission direction and are suitable for processing performance analysis requirements, ensure that the number of extracted samples exceeds the preset number, and record the timestamp and processing performance indicators of each typical data packet sample; Analyze the processing performance of each typical data packet sample according to the time series, and quantify it into the comprehensive value of the processing time and processing task load of each typical data packet sample processed by the target docking terminal. Arrange and record these comprehensive values ​​to form the time series data of processing performance in chronological order. The processing performance time series data of typical data packet samples are used to draw a change curve, the overall change trend of the change curve is statistically analyzed and its average change slope is calculated, and the average change slope is used as the first correction factor.

3. The integrated management method of communication equipment based on 5G messages according to claim 1 is characterized in that: The steps of selecting a comparison historical data packet that is closest to the characteristics of a specified data packet from the historical operation log of the target docking terminal, analyzing the encryption or decryption processing load of the target docking terminal on the specified data packet and the comparison historical data packet, and calculating the deviation ratio between the two, and setting the deviation ratio as the second correction factor include: Parse the historical operation log of the target docking terminal, and select the historical data packet with the highest comprehensive similarity according to the characteristics of the protocol type, size, and transmission direction of the specified data packet as the historical data packet for comparison; According to the historical operation log, determine the encryption or decryption processing load of the target docking terminal for the specified data packet and the comparison historical data packet, specifically quantify it as the amount of data processed per second, so as to calculate the encryption or decryption processing load value of the specified data packet and the comparison historical data packet; According to the encryption or decryption processing load values ​​of the designated data packet and the compared historical data packet, a deviation ratio between the two is calculated, and the deviation ratio is set as a second correction factor.

4. The integrated management method of communication equipment based on 5G messages according to claim 1 is characterized in that: The steps of comprehensively adjusting the initial buffer capacity value by combining the first correction factor and the second correction factor to generate a final optimized dynamic buffer capacity value include: Retrieving a buffer capacity value optimization formula, and comprehensively adjusting the initial buffer capacity value in combination with the first correction factor and the second correction factor to generate a final optimized dynamic buffer capacity value; The generated dynamic buffer capacity value is applied to the core network switch.

5. The method for integrated management of communication equipment based on 5G messages according to claim 4 is characterized in that: The buffer capacity value optimization formula is: ； Among them, C final Refers to the optimized dynamic buffer capacity value, C initial refers to the initial buffer capacity value, n refers to the total number of typical data packet samples, S i refers to the change slope of the i-th segment in the change curve, w1 refers to the adjustment coefficient used to adjust the influence of the average change slope on the buffer capacity adjustment, L s Refers to the encryption or decryption processing load value of a specified data packet, L h refers to the encryption or decryption processing load value compared with the historical data packets, w2 refers to the adjustment coefficient used to adjust the effect of the deviation ratio on the buffer capacity adjustment; refers to the average slope of change, Refers to the deviation ratio.

6. An integrated management system for communication devices based on 5G messaging, characterized in that, The system comprises: a data acquisition module, a first correction factor determination module, a second correction factor determination module and a buffer capacity value optimization module, wherein: The data acquisition module is used to determine whether the current network state is in the peak traffic stage when the core network switch receives the transmission request of the target docking terminal. If so, the initial buffer capacity value pre-configured by the core network switch for the specified data packet of the target docking terminal and the historical operation log of the target docking terminal are obtained based on the 5G message; A first correction factor determination module is used to parse the historical operation log of the target docking terminal, extract typical data packet samples exceeding a preset number therefrom, and analyze the processing performance of the target docking terminal for each typical data packet sample according to a time series, perform statistics on the processing performance of all typical data packet samples, draw a time series change curve, and calculate its average change slope, and set the average change slope as the first correction factor; A second correction factor determination module is used to select a comparison historical data packet that is closest to the characteristics of the specified data packet from the historical operation log of the target docking terminal, analyze the encryption or decryption processing load of the target docking terminal on the specified data packet and the comparison historical data packet, and calculate the deviation ratio between the two, and set the deviation ratio as the second correction factor; The buffer capacity value optimization module is used to combine the first correction factor and the second correction factor to comprehensively adjust the initial buffer capacity value to generate a final optimized dynamic buffer capacity value.

7. The integrated management system for communication equipment based on 5G messages according to claim 6 is characterized in that: The first correction factor determination module specifically includes: A typical data packet sample extraction unit is used to parse the historical operation log of the target docking terminal, filter out typical data packet samples that are consistent in protocol type, size and transmission direction and are adapted to the processing performance analysis requirements, ensure that the number of extracted samples exceeds the preset number, and record the timestamp and processing performance indicators of each typical data packet sample; A time series data acquisition unit is used to analyze the processing performance of each typical data packet sample according to the time series, specifically quantify the comprehensive value of the processing time and processing task load of each typical data packet sample processed by the target docking terminal, sort out and record these comprehensive values, and form the time series data of the processing performance in chronological order; The average change slope calculation unit is used to draw a change curve using the processing performance time series data of a typical data packet sample, statistically analyze the overall change trend of the change curve and calculate its average change slope, and use the average change slope as the first correction factor.

8. The integrated management system for communication equipment based on 5G messages according to claim 7 is characterized in that: The second correction factor determination module specifically includes: A comparison historical data packet determination unit is used to parse the historical operation log of the target docking terminal, and select the historical data packet with the highest comprehensive similarity according to the characteristics of the protocol type, size, and transmission direction of the specified data packet as the comparison historical data packet; A processing load value calculation unit is used to determine the encryption or decryption processing load of the target docking terminal for the specified data packet and the comparison historical data packet according to the historical operation log, specifically quantified as the amount of data processed per second, so as to calculate the encryption or decryption processing load value of the specified data packet and the comparison historical data packet; The deviation ratio calculation unit is used to calculate the deviation ratio between the designated data packet and the compared historical data packet according to the encryption or decryption processing load value of the two, and set the deviation ratio as the second correction factor.

9. The integrated management system for communication equipment based on 5G messages according to claim 8 is characterized in that: The buffer capacity value optimization module specifically includes: A dynamic buffer capacity value calculation unit, used to retrieve a buffer capacity value optimization formula, and comprehensively adjust the initial buffer capacity value in combination with a first correction factor and a second correction factor to generate a final optimized dynamic buffer capacity value; The dynamic buffer capacity value application unit is used to apply the generated dynamic buffer capacity value to the core network switch.

10. The integrated management system for communication equipment based on 5G messages according to claim 9 is characterized in that: The buffer capacity value optimization formula is: ； Among them, C final Refers to the optimized dynamic buffer capacity value, C initial refers to the initial buffer capacity value, n refers to the total number of typical data packet samples, S i refers to the change slope of the i-th segment in the change curve, w1 refers to the adjustment coefficient used to adjust the influence of the average change slope on the buffer capacity adjustment, L s Refers to the encryption or decryption processing load value of a specified data packet, L h refers to the encryption or decryption processing load value compared with the historical data packets, w2 refers to the adjustment coefficient used to adjust the effect of the deviation ratio on the buffer capacity adjustment; refers to the average slope of change, Refers to the deviation ratio.

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