A multi-channel information interaction system and method based on 5G technology

Abstract

The present invention is applicable to the field of 5G communication and multi-channel information interaction technology, and provides a multi-channel information interaction system and method based on 5G technology, the method comprising: when receiving a specific datagram uploaded by a target terminal, if the original priority value evaluated for the specific datagram is lower than a predetermined threshold, then obtaining the historical data transmission log of the target terminal; parsing the historical data transmission log, and selecting a predetermined number of historical datagrams that are consistent with the objective attributes of the specific datagram and whose historical priority values ​​are higher than the predetermined threshold. The present invention accurately determines the delay amplification effect of the terminal caused by the decline of equipment performance by performing time series analysis on the delay jitter data and the abnormal score of the device self-test report recorded in the historical data transmission log of the target terminal, and dynamically corrects the original priority value of the datagram accordingly, so that the system can effectively eliminate the additional delay caused by equipment decline.

Description

Technical Field

[0001] The present invention belongs to the technical field of 5G communication and multi-channel information interaction, and in particular, to a multi-channel information interaction system and method based on 5G technology. Background Art

[0002] In the prior art, in order to efficiently schedule network resources and meet the real-time processing requirements of different business data, multi-channel information interaction systems usually need to generate priority values ​​for uploaded datagrams. The priority values ​​are used to distinguish the urgency and importance of each datagram, thereby guiding resource allocation and transmission scheduling to ensure that key data can be transmitted and processed first. However, traditional methods mainly determine priority values ​​based on the business content, format and transmission parameters of datagrams, and often ignore the impact of terminal equipment performance degradation on data transmission delay.

[0003] When generating priority values, the prior art not only fails to consider the delay amplification effect caused by equipment aging and performance degradation, but also fails to accurately determine whether the delay amplification effect is caused by equipment aging and performance degradation, resulting in some datagrams with high business value being mistakenly evaluated as low priority due to delay jitter. This defect not only affects the reasonable scheduling of network resources, but may also cause key business information to fail to be processed in a timely manner, thereby reducing the overall performance and response speed of the system.

[0004] In addition, due to the lack of dynamic monitoring of the health status of the target terminal equipment, existing methods are difficult to adapt to the uncertainty brought about by changes in the equipment's operating status, which to a certain extent limits the system's accurate assessment of the actual business value of the datagram. Summary of the invention

[0005] The purpose of the present invention is to provide a multi-channel information interaction system and method based on 5G technology, aiming to solve the problems raised in the background technology.

[0006] The present invention is implemented as follows: a multi-channel information interaction method based on 5G technology, the method comprising:

[0007] When receiving a specific datagram uploaded by a target terminal, if the original priority value evaluated for the specific datagram is lower than a predetermined threshold, obtaining a historical data transmission log of the target terminal;

[0008] Parse historical data transmission logs and select a predetermined number of historical datagrams that are consistent with the objective attributes of a specific datagram and whose historical priority values ​​are higher than a predetermined threshold;

[0009] Sequentially parse a predetermined number of historical data reports and extract the recorded delay jitter data and device self-test report anomaly scores, and draw a first trend curve related to the delay jitter data and a second trend curve related to the device self-test report anomaly scores based on time series analysis;

[0010] Determining whether the target terminal has a delay amplification effect caused by device performance degradation based on the first trend curve and the second trend curve;

[0011] When it is determined that the target terminal has a delay amplification effect caused by device performance degradation, the original priority value of the specific datagram is adjusted according to the change characteristics of the first trend curve.

[0012] As a further limitation of the technical solution of the embodiment of the present invention, the objective attributes refer to the service type, data format, data packet size, collection environment and technical parameters of the transmission protocol of the datagram.

[0013] As a further limitation of the technical solution of the embodiment of the present invention, the steps of sequentially parsing a predetermined number of historical data reports and extracting the delay jitter data and the device self-test report abnormality score recorded therein, and drawing a first trend curve related to the delay jitter data and a second trend curve related to the device self-test report abnormality score based on time series analysis include:

[0014] A predetermined number of historical datagrams are parsed in sequence, and the delay jitter data recorded when the target terminal uploads and the abnormal score of the device self-test report are extracted from each historical datagram;

[0015] Preprocess and filter out noise on the extracted delay jitter data and abnormal scores in the equipment self-test report;

[0016] The processed delay jitter data and the abnormal score of the device self-test report are arranged in time series, and a first trend curve and a second trend curve reflecting the time evolution trend of the delay jitter data and the abnormal score of the device self-test report are respectively drawn.

[0017] As a further limitation of the technical solution of the embodiment of the present invention, the step of judging whether the target terminal has a delay amplification effect caused by device performance degradation based on the first trend curve and the second trend curve includes:

[0018] Calculating the average change slopes of the first trend curve and the second trend curve respectively, and determining whether the absolute values ​​of the two satisfy a predetermined multiple relationship;

[0019] If the predetermined multiple relationship is met, it is determined that the target terminal has a delay amplification effect caused by device performance degradation.

[0020] As a further limitation of the technical solution of the embodiment of the present invention, after determining that the target terminal has a delay amplification effect caused by device performance degradation, the step of adjusting the original priority value of the specific datagram according to the change characteristics of the first trend curve includes:

[0021] When it is determined that the target terminal has a delay amplification effect caused by device performance degradation, a preset adjustment formula is retrieved, and the original priority value of the specific datagram is corrected in combination with the average change slope of the first trend curve;

[0022] The modified priority value is applied to determine the business processing priority of a specific datagram in the multi-channel information interaction system.

[0023] As a further limitation of the technical solution of the embodiment of the present invention, the adjustment formula is:

[0024] ,in refers to the corrected priority value, refers to the original priority value, Refers to the average change slope of the first trend curve, K refers to The corresponding adjustment coefficient.

[0025] A multi-channel information interaction system based on 5G technology, the system comprising: a data acquisition module, a data screening module, a trend curve drawing module, a delay effect judgment module and a priority value adjustment module, wherein:

[0026] A data acquisition module, configured to, upon receiving a specific datagram uploaded by a target terminal, acquire a historical data transmission log of the target terminal if the original priority value evaluated for the specific datagram is lower than a predetermined threshold;

[0027] A data screening module, used to parse historical data transmission logs and select a predetermined number of historical datagrams that are consistent with the objective attributes of a specific datagram and whose historical priority values ​​are higher than a predetermined threshold;

[0028] The objective attributes refer to the service type, data format, data packet size, collection environment and technical parameters of the transmission protocol of the datagram;

[0029] A trend curve drawing module, used to parse a predetermined number of historical data reports in sequence and extract the delay jitter data and the abnormal score of the device self-test report recorded therein, and draw a first trend curve related to the delay jitter data and a second trend curve related to the abnormal score of the device self-test report based on time series analysis;

[0030] A delay effect judgment module, used to judge whether the target terminal has a delay amplification effect caused by device performance degradation based on the first trend curve and the second trend curve;

[0031] The priority value adjustment module is used to adjust the original priority value of a specific datagram according to the change characteristics of the first trend curve after determining that the target terminal has a delay amplification effect caused by device performance degradation.

[0032] As a further limitation of the technical solution of the embodiment of the present invention, the trend curve drawing module specifically includes:

[0033] A data parsing unit, used to parse a predetermined number of historical datagrams in sequence, and extract the delay jitter data and the abnormal score of the device self-test report recorded when the target terminal uploads from each historical datagram;

[0034] A data preprocessing unit, used to preprocess and filter out noise on the extracted delay jitter data and abnormal scores of the device self-test report;

[0035] The trend curve generating unit is used to arrange the processed delay jitter data and the abnormal score of the device self-test report in time series, and respectively draw a first trend curve and a second trend curve reflecting the time evolution trend of the delay jitter data and the abnormal score of the device self-test report.

[0036] As a further limitation of the technical solution of the embodiment of the present invention, the delay effect judgment module specifically includes:

[0037] A predetermined relationship determination unit, used to calculate the average change slopes of the first trend curve and the second trend curve respectively, and determine whether the absolute values ​​of the two satisfy a predetermined multiple relationship;

[0038] The delay effect determination unit is used to determine that the target terminal has a delay amplification effect caused by device performance degradation if a predetermined multiple relationship is met.

[0039] As a further limitation of the technical solution of the embodiment of the present invention, the priority value adjustment module specifically includes:

[0040] The original priority value correction unit is used to call a preset adjustment formula and correct the original priority value of the specific datagram in combination with the average change slope of the first trend curve after determining that the target terminal has a delay amplification effect caused by device performance degradation;

[0041] A modified priority value application unit, used for applying the modified priority value to determine the service processing priority of a specific datagram in the multi-channel information interaction system;

[0042] The adjustment formula is: ,in refers to the corrected priority value, refers to the original priority value, Refers to the average change slope of the first trend curve, K refers to The corresponding adjustment coefficient.

[0043] Compared with the prior art, the present invention has the following beneficial effects:

[0044] The present invention accurately determines the delay amplification effect of the terminal due to equipment performance degradation by performing time series analysis on the delay jitter data and the abnormal score of the device self-test report recorded in the historical data transmission log of the target terminal, and dynamically corrects the original priority value of the datagram accordingly, so that the system can effectively eliminate the additional delay caused by equipment degradation. After correction, the priority evaluation of the datagram more truly reflects its actual business value, ensuring that key data is given priority transmission and processing in the multi-channel information interaction system, thereby improving the overall performance and response speed of the system, and providing a reliable basis for terminal health monitoring and pre-maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 A flowchart of a method provided by an embodiment of the present invention;

[0046] Figure 2 A flow chart of generating a first trend curve and a second trend curve in the method provided in an embodiment of the present invention;

[0047] Figure 3 A flow chart of determining whether a target terminal has a delay amplification effect in a method provided in an embodiment of the present invention;

[0048] Figure 4 A flow chart of correcting the original priority value of a specific datagram in the method provided in an embodiment of the present invention;

[0049] Figure 5 An application architecture diagram of a system provided by an embodiment of the present invention;

[0050] Figure 6 A structural block diagram of a trend curve drawing module in a system provided by an embodiment of the present invention;

[0051] Figure 7 A structural block diagram of a delay effect judgment module in a system provided by an embodiment of the present invention;

[0052] Figure 8 This is a structural block diagram of a priority value adjustment module in a system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0053] 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.

[0054] Figure 1 A flow chart of a method provided by an embodiment of the present invention is shown.

[0055] Specifically, a multi-channel information interaction method based on 5G technology includes the following steps:

[0056] Step S100: when receiving a specific datagram uploaded by a target terminal, if the original priority value evaluated for the specific datagram is lower than a predetermined threshold, a historical data transmission log of the target terminal is obtained.

[0057] In an embodiment of the present invention, the target terminal refers to a communication device that is connected to a multi-channel information interaction system, such as a smart phone, an industrial sensor, or a vehicle-mounted terminal, which is responsible for generating and uploading datagrams. A datagram is a transmission unit generated and encapsulated by a target terminal, and contains information for subsequent business processing. In this system, the priority value of the datagram is evaluated to achieve differentiated processing and resource scheduling of different business data, ensuring that important or urgent information can be processed first. This evaluation process has been widely used in network traffic management and quality of service (QoS) control in the prior art.

[0058] The predetermined threshold refers to a value pre-set during the system design phase based on system performance requirements and experimental data to distinguish whether a datagram meets the established service processing quality requirements. Usually, this threshold is obtained through statistical analysis of historical data and system response performance, and can be dynamically adjusted according to network load conditions in actual applications.

[0059] The historical data transmission log is generated by the recording module on the target terminal or system side, and records the key information of the datagram from generation to upload. The log should include the datagram generation time, upload time, original priority value, delay jitter data, and abnormal score reflected in the device self-test report. It should also include objective attributes such as the datagram's business type, data format, data packet size, collection environment, and transmission protocol. This information provides the necessary data basis for subsequent trend analysis and priority correction using historical data.

[0060] Furthermore, the multi-channel information interaction method based on 5G technology also includes the following steps:

[0061] Step S200 , parsing the historical data transmission log, and selecting a predetermined number of historical datagrams that are consistent with the objective attributes of a specific datagram and whose historical priority values ​​are higher than a predetermined threshold.

[0062] The objective attributes refer to the service type, data format, data packet size, collection environment and technical parameters of the transmission protocol of the datagram.

[0063] In the embodiment of the present invention, the significance of setting the established number is to ensure that the historical data samples used for subsequent trend analysis have sufficient statistical representativeness, so as to effectively reflect the baseline performance of the equipment under normal working conditions; the preset established number can reduce the error impact caused by individual abnormal data and improve the reliability of the analysis results.

[0064] In addition to the datagram's business type, data format, packet size, collection environment, and transmission protocol, objective attributes can also be supplemented with parameters such as the time period in which the datagram is generated, device model, network transmission path, and signal strength. These parameters can help to more comprehensively describe the datagram generation and transmission conditions, thereby further ensuring a high degree of consistency between the selected sample and the current datagram in terms of objective conditions.

[0065] The significance of selecting "a predetermined number of historical datagrams that are consistent with the objective attributes of a specific datagram and whose historical priority values ​​are higher than a predetermined threshold" is to construct a benchmark that represents the normal data transmission of the target terminal in a healthy state. By comparing the differences between these normal datagrams and the current low-priority datagrams, it is possible to more accurately determine whether the delay amplification phenomenon is caused by the decline in equipment performance, thereby providing a reliable data basis for subsequent priority corrections.

[0066] Furthermore, the multi-channel information interaction method based on 5G technology also includes the following steps:

[0067] Step S300, parse a predetermined number of historical data reports in sequence and extract the recorded delay jitter data and device self-test report abnormality scores, and draw a first trend curve related to the delay jitter data and a second trend curve related to the device self-test report abnormality score based on time series analysis.

[0068] Specifically, Figure 2 A flow chart for generating a first trend curve and a second trend curve is shown.

[0069] The method of sequentially parsing a predetermined number of historical data reports and extracting the recorded delay jitter data and the abnormal score of the device self-test report, and drawing a first trend curve related to the delay jitter data and a second trend curve related to the abnormal score of the device self-test report based on time series analysis specifically includes the following steps:

[0070] Step S301, parsing a predetermined number of historical datagrams in sequence, extracting the delay jitter data and the abnormal score of the device self-test report recorded when the target terminal uploads from each historical datagram;

[0071] Step S302, preprocessing and noise filtering are performed on the extracted delay jitter data and the abnormal score of the device self-test report;

[0072] Step S303, arranging the processed delay jitter data and the device self-test report abnormality score in time series, and respectively drawing a first trend curve and a second trend curve reflecting the time evolution trend of the delay jitter data and the device self-test report abnormality score.

[0073] In an embodiment of the present invention, delay jitter data refers to the instantaneous fluctuation value of datagram delay caused by factors such as network transmission and internal processing of the device during the process of uploading datagrams by the target terminal. This data is usually obtained by calculating the timestamp between the datagram generation time and the reception time, and is widely used in existing network performance monitoring and QoS control; the device self-test report abnormality score is generated by the internal self-test mechanism of the target terminal, and is a numerical indicator used to quantify the abnormal situation of the device's operating status. Its value reflects the health status of the device in terms of temperature, processing load, battery status, etc. This indicator has also been widely adopted in modern communication equipment for health monitoring.

[0074] During the implementation process, a predetermined number of historical datagrams are first parsed in sequence, and the delay jitter data and the abnormal score of the device self-test report recorded when the target terminal is uploaded are extracted from each datagram. Subsequently, the extracted delay jitter data and the abnormal score of the device self-test report are pre-processed and noise filtered. Usually, moving average filtering, low-pass filtering or other statistical methods are used to smooth the data to eliminate short-term fluctuations and occasional abnormal noise, thereby ensuring the accuracy and stability of subsequent trend analysis data.

[0075] Next, the processed delay jitter data and the abnormal score of the device self-test report are arranged in chronological order, and the first trend curve reflecting the change of delay jitter data and the second trend curve reflecting the change of the abnormal score of the device self-test report are drawn based on time series analysis. The first trend curve mainly shows the change trend of datagram upload delay, and its slope reflects the rate of delay growth; while the second trend curve shows the change trend of the device health status, and its downward trend and slope indicate the degree of aggravation of the abnormal situation of the device self-test.

[0076] Furthermore, the multi-channel information interaction method based on 5G technology also includes the following steps:

[0077] Step S400: determining whether the target terminal has a delay amplification effect caused by device performance degradation based on the first trend curve and the second trend curve.

[0078] Specifically, Figure 3 A flow chart is shown for determining whether a target terminal has a delay amplification effect.

[0079] Wherein, judging whether the target terminal has a delay amplification effect caused by device performance degradation based on the first trend curve and the second trend curve specifically includes the following steps:

[0080] Step S401, respectively calculating the average change slopes of the first trend curve and the second trend curve, and determining whether their absolute values ​​satisfy a predetermined multiple relationship;

[0081] Step S402: If the predetermined multiple relationship is satisfied, it is determined that the target terminal has a delay amplification effect caused by device performance degradation.

[0082] In the embodiment of the present invention, in order to calculate the average change slope of the first trend curve and the second trend curve, a linear regression analysis technique is usually used, that is, the time series data recording the delay jitter data and the device self-test report abnormal score are fitted using the least squares method to obtain the respective best fitting straight lines, whose slopes represent the average change rate of the respective data over time. The average slope of the first trend curve reflects the rising rate of the delay jitter data, while the average slope of the second trend curve reflects the falling rate of the device self-test report abnormal score.

[0083] The predetermined multiple relationship is usually determined after statistical analysis of a large amount of experimental data, and a threshold is set. For example, if the absolute value of the average change slope of the first trend curve is approximately N times the average change slope of the second trend curve (N is a predetermined coefficient), it is considered that the target terminal has a delay amplification effect. The absolute value is used for comparison here because although the two trends are in opposite directions (one is rising and the other is falling), both reflect the impact of equipment performance degradation. Only when the rate changes of the two meet the predetermined multiple relationship can it be said that the delay amplification effect is closely related to equipment performance degradation.

[0084] The basis for this setting is that when the device is performing well, the delay jitter and the device self-test anomaly score are both at a stable level; when the device performance gradually declines, the delay jitter data will show a clear upward trend, and the device self-test report anomaly score will gradually decrease. By comparing the change rate of these two indicators, it is possible to indirectly determine whether the delay amplification phenomenon is caused by device decline. The significance of this judgment method is that it provides an indirect and objective way to identify device performance problems, thereby providing a reliable basis for subsequent priority corrections.

[0085] Determining that the target terminal has a delay amplification effect caused by device performance degradation provides a reliable basis for subsequent correction of the original priority value. By identifying this phenomenon, the system can eliminate the additional delay caused by device hardware degradation, ensuring that the original priority value will not be underestimated due to terminal performance degradation, thereby more accurately reflecting the actual business value of the datagram itself.

[0086] In addition, based on this judgment, the subsequent process of correcting the original priority value can achieve differentiated adjustments, so that in the multi-channel information interaction system, each business data can be more fairly and efficiently scheduled when allocating resources and processing. This not only helps to improve the overall performance and response speed of the system, but also provides data support for equipment health status monitoring and predictive maintenance, further enhancing the stability and reliability of the system.

[0087] Furthermore, the multi-channel information interaction method based on 5G technology also includes the following steps:

[0088] Step S500: When it is determined that the target terminal has a delay amplification effect caused by device performance degradation, the original priority value of the specific datagram is adjusted according to the change characteristics of the first trend curve.

[0089] Specifically, Figure 4 A flow chart is shown for modifying the original priority value of a particular datagram.

[0090] Wherein, after determining that the target terminal has a delay amplification effect caused by device performance degradation, adjusting the original priority value of the specific datagram according to the change characteristics of the first trend curve specifically includes the following steps:

[0091] Step S501, when it is determined that the target terminal has a delay amplification effect caused by device performance degradation, a preset adjustment formula is retrieved, and the original priority value of the specific datagram is corrected in combination with the average change slope of the first trend curve;

[0092] Step S502: Apply the modified priority value to determine the service processing priority of the specific datagram in the multi-channel information interaction system.

[0093] In an embodiment of the present invention, once it is determined that the target terminal has a delay amplification effect caused by equipment performance degradation, the original priority value of the specific datagram is adjusted according to the change characteristics of the first trend curve. In step S501, the correction factor is calculated by calling the preset adjustment formula and combining the average change slope of the first trend curve. The correction factor reflects the increase in delay caused by equipment performance degradation over a period of time. The advantage of using the average change slope of the first trend curve for correction is that it can quantify the delay increase caused by terminal performance degradation, thereby effectively eliminating the interference of additional delays caused by equipment degradation on datagram priority assessment, so that the corrected priority value more accurately reflects the actual business value of the datagram. The basis for this is that the average change slope of the delay amplification effect, as a stable statistical indicator, objectively reflects the evolution trend of the delay of the target terminal during performance degradation, and provides a quantifiable parameter for priority correction.

[0094] In step S502, the revised priority value is used to redetermine the service processing priority of the specific datagram in the multi-channel information interaction system, thereby achieving more reasonable system resource allocation and scheduling, and ensuring that important or urgent datagrams can be processed preferentially.

[0095] The adjustment formula provided by the present invention is: ,in refers to the corrected priority value, refers to the original priority value, Refers to the average change slope of the first trend curve, K refers to The corresponding adjustment coefficient. This formula is simple and intuitive, easy to implement and debug.

[0096] In fact, other calculation methods can also be used to improve the correction accuracy. For example, the weighted moving average method can be used to calculate a smoother trend slope based on the weight distribution of delay data in different time windows; the exponential smoothing method can also be used to reduce the impact of short-term abnormal fluctuations on the overall trend; in addition, multiple indicators such as device temperature, battery power, signal strength, etc. can be included in the model through multivariate linear regression analysis to comprehensively estimate the delay amplification effect, thereby obtaining a more comprehensive correction factor. Different methods have their own advantages and disadvantages, and the specific choice should be weighed according to the actual system situation and data characteristics.

[0097] Furthermore, Figure 5 The application architecture diagram of the system provided by the embodiment of the present invention is shown.

[0098] Among them, in another preferred embodiment provided by the present invention, a multi-channel information interaction system based on 5G technology includes:

[0099] The data acquisition module 100 is used to acquire the historical data transmission log of the target terminal when receiving a specific datagram uploaded by the target terminal if the original priority value evaluated for the specific datagram is lower than a predetermined threshold.

[0100] In an embodiment of the present invention, the target terminal refers to a communication device that is connected to a multi-channel information interaction system, such as a smart phone, an industrial sensor, or a vehicle-mounted terminal, which is responsible for generating and uploading datagrams. A datagram is a transmission unit generated and encapsulated by a target terminal, and contains information for subsequent business processing. In this system, the priority value of the datagram is evaluated to achieve differentiated processing and resource scheduling of different business data, ensuring that important or urgent information can be processed first. This evaluation process has been widely used in network traffic management and quality of service (QoS) control in the prior art.

[0101] The predetermined threshold refers to a value pre-set during the system design phase based on system performance requirements and experimental data to distinguish whether a datagram meets the established service processing quality requirements. Usually, this threshold is obtained through statistical analysis of historical data and system response performance, and can be dynamically adjusted according to network load conditions in actual applications.

[0102] The historical data transmission log is generated by the recording module on the target terminal or system side, and records the key information of the datagram from generation to upload. The log should include the datagram generation time, upload time, original priority value, delay jitter data, and abnormal score reflected in the device self-test report. It should also include objective attributes such as the datagram's business type, data format, data packet size, collection environment, and transmission protocol. This information provides the necessary data basis for subsequent trend analysis and priority correction using historical data.

[0103] Furthermore, the multi-channel information interaction system based on 5G technology also includes:

[0104] The data screening module 200 is used to parse the historical data transmission log and select a predetermined number of historical data packets that are consistent with the objective attributes of the specific data packets and whose historical priority values ​​are higher than a predetermined threshold.

[0105] The objective attributes refer to the service type, data format, data packet size, collection environment and technical parameters of the transmission protocol of the datagram.

[0106] In the embodiment of the present invention, the significance of setting the established number is to ensure that the historical data samples used for subsequent trend analysis have sufficient statistical representativeness, so as to effectively reflect the baseline performance of the equipment under normal working conditions; the preset established number can reduce the error impact caused by individual abnormal data and improve the reliability of the analysis results.

[0107] In addition to the datagram's business type, data format, packet size, collection environment, and transmission protocol, objective attributes can also be supplemented with parameters such as the time period in which the datagram is generated, device model, network transmission path, and signal strength. These parameters can help to more comprehensively describe the datagram generation and transmission conditions, thereby further ensuring a high degree of consistency between the selected sample and the current datagram in terms of objective conditions.

[0108] The significance of selecting "a predetermined number of historical datagrams that are consistent with the objective attributes of a specific datagram and whose historical priority values ​​are higher than a predetermined threshold" is to construct a benchmark that represents the normal data transmission of the target terminal in a healthy state. By comparing the differences between these normal datagrams and the current low-priority datagrams, it is possible to more accurately determine whether the delay amplification phenomenon is caused by the decline in equipment performance, thereby providing a reliable data basis for subsequent priority corrections.

[0109] Furthermore, the multi-channel information interaction system based on 5G technology also includes:

[0110] The trend curve drawing module 300 is used to parse a predetermined number of historical data reports in sequence and extract the recorded delay jitter data and device self-test report abnormality scores, and draw a first trend curve related to the delay jitter data and a second trend curve related to the device self-test report abnormality score based on time series analysis.

[0111] Specifically, Figure 6 It shows a structural block diagram of the trend curve drawing module 300 in the system provided by the embodiment of the present invention.

[0112] Among them, in the preferred embodiment provided by the present invention, the trend curve drawing module 300 specifically includes:

[0113] The data parsing unit 301 is used to parse a predetermined number of historical data packets in sequence, and extract the delay jitter data and the abnormal score of the device self-test report recorded when the target terminal uploads from each historical data packet;

[0114] The data preprocessing unit 302 is used to preprocess and filter out noise on the extracted delay jitter data and the abnormal score of the device self-test report;

[0115] The trend curve generating unit 303 is used to arrange the processed delay jitter data and the device self-test report abnormal score in time series, and draw a first trend curve and a second trend curve reflecting the time evolution trend of the delay jitter data and the device self-test report abnormal score respectively.

[0116] In an embodiment of the present invention, delay jitter data refers to the instantaneous fluctuation value of datagram delay caused by factors such as network transmission and internal processing of the device during the process of uploading datagrams by the target terminal. This data is usually obtained by calculating the timestamp between the datagram generation time and the reception time, and is widely used in existing network performance monitoring and QoS control; the device self-test report abnormality score is generated by the internal self-test mechanism of the target terminal, and is a numerical indicator used to quantify the abnormal situation of the device's operating status. Its value reflects the health status of the device in terms of temperature, processing load, battery status, etc. This indicator has also been widely adopted in modern communication equipment for health monitoring.

[0117] During the implementation process, a predetermined number of historical datagrams are first parsed in sequence, and the delay jitter data and the abnormal score of the device self-test report recorded when the target terminal is uploaded are extracted from each datagram. Subsequently, the extracted delay jitter data and the abnormal score of the device self-test report are pre-processed and noise filtered. Usually, moving average filtering, low-pass filtering or other statistical methods are used to smooth the data to eliminate short-term fluctuations and occasional abnormal noise, thereby ensuring the accuracy and stability of subsequent trend analysis data.

[0118] Next, the processed delay jitter data and the abnormal score of the device self-test report are arranged in chronological order, and the first trend curve reflecting the change of delay jitter data and the second trend curve reflecting the change of the abnormal score of the device self-test report are drawn based on time series analysis. The first trend curve mainly shows the change trend of datagram upload delay, and its slope reflects the rate of delay growth; while the second trend curve shows the change trend of the device health status, and its downward trend and slope indicate the degree of aggravation of the abnormal situation of the device self-test.

[0119] Furthermore, the multi-channel information interaction system based on 5G technology also includes:

[0120] The delay effect determination module 400 is used to determine whether the target terminal has a delay amplification effect caused by device performance degradation based on the first trend curve and the second trend curve.

[0121] Specifically, Figure 7 It shows a structural block diagram of the delay effect judgment module 400 in the system provided by an embodiment of the present invention.

[0122] Among them, in the preferred implementation manner provided by the present invention, the delay effect judgment module 400 specifically includes:

[0123] A predetermined relationship determination unit 401 is used to calculate the average change slopes of the first trend curve and the second trend curve respectively, and determine whether the absolute values ​​of the two satisfy a predetermined multiple relationship;

[0124] The delay effect determination unit 402 is used to determine that the target terminal has a delay amplification effect caused by device performance degradation if a predetermined multiple relationship is satisfied.

[0125] In the embodiment of the present invention, in order to calculate the average change slope of the first trend curve and the second trend curve, a linear regression analysis technique is usually used, that is, the time series data recording the delay jitter data and the device self-test report abnormal score are fitted using the least squares method to obtain the respective best fitting straight lines, whose slopes represent the average change rate of the respective data over time. The average slope of the first trend curve reflects the rising rate of the delay jitter data, while the average slope of the second trend curve reflects the falling rate of the device self-test report abnormal score.

[0126] The predetermined multiple relationship is usually determined after statistical analysis of a large amount of experimental data, and a threshold is set. For example, if the absolute value of the average change slope of the first trend curve is approximately N times the average change slope of the second trend curve (N is a predetermined coefficient), it is considered that the target terminal has a delay amplification effect. The absolute value is used for comparison here because although the two trends are in opposite directions (one is rising and the other is falling), both reflect the impact of equipment performance degradation. Only when the rate changes of the two meet the predetermined multiple relationship can it be said that the delay amplification effect is closely related to equipment performance degradation.

[0127] The basis for this setting is that when the device is performing well, the delay jitter and the device self-test anomaly score are both at a stable level; when the device performance gradually declines, the delay jitter data will show a clear upward trend, and the device self-test report anomaly score will gradually decrease. By comparing the change rate of these two indicators, it is possible to indirectly determine whether the delay amplification phenomenon is caused by device decline. The significance of this judgment method is that it provides an indirect and objective way to identify device performance problems, thereby providing a reliable basis for subsequent priority corrections.

[0128] Determining that the target terminal has a delay amplification effect caused by device performance degradation provides a reliable basis for subsequent correction of the original priority value. By identifying this phenomenon, the system can eliminate the additional delay caused by device hardware degradation, ensuring that the original priority value will not be underestimated due to terminal performance degradation, thereby more accurately reflecting the actual business value of the datagram itself.

[0129] In addition, based on this judgment, the subsequent process of correcting the original priority value can achieve differentiated adjustments, so that in the multi-channel information interaction system, each business data can be more fairly and efficiently scheduled when allocating resources and processing. This not only helps to improve the overall performance and response speed of the system, but also provides data support for equipment health status monitoring and predictive maintenance, further enhancing the stability and reliability of the system.

[0130] Furthermore, the multi-channel information interaction system based on 5G technology also includes:

[0131] The priority value adjustment module 500 is used to adjust the original priority value of a specific datagram according to the change characteristics of the first trend curve after determining that the target terminal has a delay amplification effect caused by device performance degradation.

[0132] Specifically, Figure 8 It shows a structural block diagram of the priority value adjustment module 500 in the system provided by the embodiment of the present invention.

[0133] In a preferred embodiment of the present invention, the priority value adjustment module 500 specifically includes:

[0134] The original priority value correction unit 501 is used to call a preset adjustment formula and correct the original priority value of a specific datagram in combination with the average change slope of the first trend curve after determining that the target terminal has a delay amplification effect caused by device performance degradation;

[0135] The modified priority value application unit 502 is used to apply the modified priority value to determine the service processing priority of a specific datagram in the multi-channel information interaction system.

[0136] In an embodiment of the present invention, once it is determined that the target terminal has a delay amplification effect caused by equipment performance degradation, the original priority value of the specific datagram is adjusted according to the change characteristics of the first trend curve. In the original priority value correction unit 501, the correction factor is calculated by calling the preset adjustment formula and combining the average change slope of the first trend curve. The correction factor reflects the increase in delay caused by equipment performance degradation over a period of time. The advantage of using the average change slope of the first trend curve for correction is that it can quantify the delay increase caused by the decline in terminal performance, thereby effectively eliminating the interference of the additional delay caused by equipment degradation on the datagram priority assessment, so that the corrected priority value more accurately reflects the actual business value of the datagram. The basis for this is that the average change slope of the delay amplification effect, as a stable statistical indicator, objectively reflects the evolution trend of the delay of the target terminal during performance degradation, and provides a quantifiable parameter for priority correction.

[0137] In the priority value correction application unit 502, the corrected priority value is used to re-determine the service processing priority of the specific datagram in the multi-channel information interaction system, thereby achieving more reasonable system resource allocation and scheduling, and ensuring that important or urgent datagrams can be processed preferentially.

[0138] The adjustment formula provided by the present invention is: ,in refers to the corrected priority value, refers to the original priority value, Refers to the average change slope of the first trend curve, K refers to The corresponding adjustment coefficient. This formula is simple and intuitive, easy to implement and debug.

[0139] In fact, other calculation methods can also be used to improve the correction accuracy. For example, the weighted moving average method can be used to calculate a smoother trend slope based on the weight distribution of delay data in different time windows; the exponential smoothing method can also be used to reduce the impact of short-term abnormal fluctuations on the overall trend; in addition, multiple indicators such as device temperature, battery power, signal strength, etc. can be included in the model through multivariate linear regression analysis to comprehensively estimate the delay amplification effect, thereby obtaining a more comprehensive correction factor. Different methods have their own advantages and disadvantages, and the specific choice should be weighed according to the actual system situation and data characteristics.

[0140] It should be understood that, although each step in the flow chart of each embodiment of the present invention is shown in sequence according to the indication of the arrow, these steps are not necessarily performed in sequence according to the order indicated by the arrow. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be performed in other orders. Moreover, at least a portion of the steps in each embodiment may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these sub-steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.

[0141] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0142] 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.

[0143] 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.

[0144] 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 multi-channel information interaction method based on 5G technology, characterized in that: The method comprises: When receiving a specific datagram uploaded by a target terminal, if the original priority value evaluated for the specific datagram is lower than a predetermined threshold, obtaining a historical data transmission log of the target terminal; Parse historical data transmission logs and select a predetermined number of historical datagrams that are consistent with the objective attributes of a specific datagram and whose historical priority values ​​are higher than a predetermined threshold; Sequentially parse a predetermined number of historical data reports and extract the recorded delay jitter data and device self-test report anomaly scores, and draw a first trend curve related to the delay jitter data and a second trend curve related to the device self-test report anomaly scores based on time series analysis; Determining whether the target terminal has a delay amplification effect caused by device performance degradation based on the first trend curve and the second trend curve; When it is determined that the target terminal has a delay amplification effect caused by device performance degradation, the original priority value of the specific datagram is adjusted according to the change characteristics of the first trend curve.

2. The multi-channel information interaction method based on 5G technology according to claim 1 is characterized in that: The objective attributes refer to the service type, data format, data packet size, collection environment and technical parameters of the transmission protocol of the datagram.

3. The multi-channel information interaction method based on 5G technology according to claim 2 is characterized in that: The steps of sequentially parsing a predetermined number of historical data reports and extracting the recorded delay jitter data and the device self-test report abnormality score, and drawing a first trend curve related to the delay jitter data and a second trend curve related to the device self-test report abnormality score based on time series analysis include: A predetermined number of historical datagrams are parsed in sequence, and the delay jitter data recorded when the target terminal uploads and the abnormal score of the device self-test report are extracted from each historical datagram; Preprocess and filter out noise on the extracted delay jitter data and abnormal scores in the equipment self-test report; The processed delay jitter data and the abnormal score of the device self-test report are arranged in time series, and a first trend curve and a second trend curve reflecting the time evolution trend of the delay jitter data and the abnormal score of the device self-test report are respectively drawn.

4. The multi-channel information interaction method based on 5G technology according to claim 3 is characterized in that: The step of judging whether the target terminal has a delay amplification effect caused by device performance degradation based on the first trend curve and the second trend curve includes: Calculating the average change slopes of the first trend curve and the second trend curve respectively, and determining whether the absolute values ​​of the two satisfy a predetermined multiple relationship; If the predetermined multiple relationship is met, it is determined that the target terminal has a delay amplification effect caused by device performance degradation.

5. The multi-channel information interaction method based on 5G technology according to claim 4 is characterized in that: When it is determined that the target terminal has a delay amplification effect caused by device performance degradation, the step of adjusting the original priority value of the specific datagram according to the change characteristics of the first trend curve includes: When it is determined that the target terminal has a delay amplification effect caused by device performance degradation, a preset adjustment formula is retrieved, and the original priority value of the specific datagram is corrected in combination with the average change slope of the first trend curve; The modified priority value is applied to determine the business processing priority of a specific datagram in the multi-channel information interaction system.

6. The multi-channel information interaction method based on 5G technology according to claim 5, characterized in that: The adjustment formula is: ,in refers to the corrected priority value, refers to the original priority value, Refers to the average change slope of the first trend curve, K refers to The corresponding adjustment coefficient.

7. A multi-channel information interaction system based on 5G technology, characterized in that: The system includes: a data acquisition module, a data screening module, a trend curve drawing module, a delay effect judgment module and a priority value adjustment module, wherein: A data acquisition module, configured to, upon receiving a specific datagram uploaded by a target terminal, acquire a historical data transmission log of the target terminal if the original priority value evaluated for the specific datagram is lower than a predetermined threshold; A data screening module, used to parse historical data transmission logs and select a predetermined number of historical datagrams that are consistent with the objective attributes of a specific datagram and whose historical priority values ​​are higher than a predetermined threshold; The objective attributes refer to the service type, data format, data packet size, collection environment and technical parameters of the transmission protocol of the datagram; A trend curve drawing module, used to parse a predetermined number of historical data reports in sequence and extract the delay jitter data and the abnormal score of the device self-test report recorded therein, and draw a first trend curve related to the delay jitter data and a second trend curve related to the abnormal score of the device self-test report based on time series analysis; A delay effect judgment module, used to judge whether the target terminal has a delay amplification effect caused by device performance degradation based on the first trend curve and the second trend curve; The priority value adjustment module is used to adjust the original priority value of a specific datagram according to the change characteristics of the first trend curve after determining that the target terminal has a delay amplification effect caused by device performance degradation.

8. The multi-channel information interaction system based on 5G technology according to claim 7 is characterized in that: The trend curve drawing module specifically includes: A data parsing unit, used to parse a predetermined number of historical datagrams in sequence, and extract the delay jitter data and the abnormal score of the device self-test report recorded when the target terminal uploads from each historical datagram; A data preprocessing unit, used to preprocess and filter out noise on the extracted delay jitter data and abnormal scores of the device self-test report; The trend curve generating unit is used to arrange the processed delay jitter data and the abnormal score of the device self-test report in time series, and respectively draw a first trend curve and a second trend curve reflecting the time evolution trend of the delay jitter data and the abnormal score of the device self-test report.

9. The multi-channel information interaction system based on 5G technology according to claim 8, characterized in that: The delay effect judgment module specifically includes: A predetermined relationship determination unit, used to calculate the average change slopes of the first trend curve and the second trend curve respectively, and determine whether the absolute values ​​of the two satisfy a predetermined multiple relationship; The delay effect determination unit is used to determine that the target terminal has a delay amplification effect caused by device performance degradation if a predetermined multiple relationship is met.

10. The multi-channel information interaction system based on 5G technology according to claim 9, characterized in that: The priority value adjustment module specifically includes: The original priority value correction unit is used to call a preset adjustment formula and correct the original priority value of the specific datagram in combination with the average change slope of the first trend curve after determining that the target terminal has a delay amplification effect caused by device performance degradation; A modified priority value application unit, used for applying the modified priority value to determine the service processing priority of a specific datagram in the multi-channel information interaction system; The adjustment formula is: ,in refers to the corrected priority value, refers to the original priority value, Refers to the average change slope of the first trend curve, K refers to The corresponding adjustment coefficient.

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