A method and system for data frame grouping in 5G network data communication

Abstract

This invention discloses a method and system for managing data frames in 5G network data communication. Existing methods and systems for managing 5G network data sampling frames cannot effectively prevent the tampering of data frame information and the omission of information records, leading to discrepancies between the recorded and actual value. Furthermore, they cannot determine the changes in the lifespan and value of 5G network data sampling frames based on their real-time sampling or upgrade status, resulting in discrepancies between the recorded and actual value. This invention leverages the decentralized and immutable characteristics of communication to track the usage of 5G network data sampling frames in real-time throughout their operation, accurately recording changes in real-time sampling or upgrade information, automatically calculating changes in the lifespan and value of 5G network data sampling frames, and intelligently determining whether there are instances of low utilization rates for 5G network data sampling frames.

Description

Technical Field

[0001] This invention relates to the field of 5G communication, and more specifically to a data frame grouping method and system for 5G network data communication. Background Technology

[0002] With the widespread access of distributed 5G signals, the communication topology and fault characteristics have undergone fundamental changes, exhibiting complex features such as multi-segmentation and multi-branching. Existing protection systems are difficult to apply because they cannot simultaneously meet the requirements of selectivity and speed. Furthermore, longitudinal communication channels, which offer both performance and cost advantages, are relatively scarce in current distribution network systems, making fiber optic differential protection unsuitable for deployment. In recent years, 5G communication technology has matured and is gradually being widely applied. Its characteristics of high bandwidth, ultra-reliability, and low latency perfectly meet the performance requirements of data protection and control communication, represented by longitudinal differential protection data transmission, providing a feasible protection and control communication solution.

[0003] To achieve longitudinal differential protection based on 5G communication, under 5G communication, the protection terminal on the local side of the communication line must convert the analog sampled data into digital data before transmitting it to the other side of the line after completing analog sampling. The core foundation of the 5G communication network is the TCP / IP protocol suite. According to the OSI seven-layer network connectivity protocol, its communication data should operate at the third layer, the network layer. However, traditional sampled data can only operate at the data link layer, which is incompatible with the addressing and transmission mechanism of the 5G communication network. Therefore, it cannot be directly transmitted, making it impossible to complete the sampling data communication between the protection terminals on both sides of the communication line. Summary of the Invention

[0004] In order to overcome the shortcomings and deficiencies of the existing technology, the present invention provides a data frame grouping method and system for 5G network data communication.

[0005] The technical solution adopted in this invention is a data frame grouping method for 5G network data communication, comprising:

[0006] The 5G network data receiving module receives basic data of 5G network data sampling value data frames, variable data of 5G network data sampling value data frames, and stores the 5G network data sampling value data frame data input from the artificial intelligence data display module.

[0007] The data sampling and identification module is installed in the 5G network data sampling value data frame, collects the current use frame of the 5G network data sampling value data frame, and transmits the data to the super cloud service computing platform.

[0008] The super cloud service computing platform receives data from the 5G network data receiving module and the data sampling and identification module.

[0009] Different categories of sampled value data algorithm calculation modules are deployed on the super cloud service computing platform to process and judge the 5G network data sampled value data frame data in communication. If the set standard is met, artificial intelligence algorithms are used to perform model calculation.

[0010] The different categories of sampled value data algorithm calculation modules are divided into three levels. The execution of the initial level different categories of sampled value data algorithm calculation module is completed by a first-level judgment module and a first-level calculation module. The first-level calculation module calculates the sampling amount within the period, and the first-level judgment module determines whether the sampling amount within the period is less than the first-level limit value. If the group of frames is less than the first-level limit value, the initial level different categories of sampled value data algorithm calculation module sends the initial level 5G network data sampled value data frame processing information to the overall data coordination and control module. The processed information after coordination and control is sent to the artificial intelligence data display module. If the group of frames is greater than the first-level limit value, the intermediate level different categories of sampled value data algorithm calculation module is triggered.

[0011] The execution of the intermediate-level different categories of sampled value data algorithm calculation module is completed by the primary-intermediate level, intermediate calculation module and primary-intermediate level, intermediate judgment module. After the primary-intermediate level calculation module calculates the current cumulative used frame group of the 5G network data sampled value data frame level, the primary-intermediate level judgment module judges whether there is specific data in the 5G network data sampled value data frame data stored in the communication.

[0012] If the specific data exists, the intermediate computing module performs model calculations on the 5G network data sampling value data frame using current frame grouping to obtain the current model data value. The primary and intermediate computing modules calculate the current cumulative frame grouping value of the primary and intermediate levels based on the current model data value. The intermediate judgment module determines whether the current cumulative data value of the primary and intermediate levels is not less than the primary and intermediate level limit value. If the specific data does not exist, the intermediate judgment module determines whether the current cumulative data value of the primary level is not less than the primary and intermediate level limit value.

[0013] If the current accumulated data value of Level 1 or the initial / intermediate level is not less than the initial / intermediate level limit, the intermediate level different category sampling value data algorithm calculation module sends the intermediate level 5G network data sampling value data frame processing information to the overall data coordination and control module, and the processed information after coordination and control is sent to the artificial intelligence data display module; if the current accumulated data value of Level 1 or the initial / intermediate level is less than the initial / intermediate level limit, the intermediate level different category sampling value data algorithm calculation module sends the intermediate level 5G network data sampling value data frame processing information to the overall data coordination and control module, and the processed information after coordination and control is sent to the artificial intelligence data display module.

[0014] The execution of the high-level different category sampled value data algorithm calculation module is completed by the intermediate-high-level and high-level judgment modules and the intermediate-high-level, high-level and special-level calculation modules. The intermediate-high-level judgment module determines whether there is specific data in the 5G network data sampled value data frame change data. If there is real-time sampled data, the high-level judgment module judges the specific data. If there is no specific data, the execution of the intermediate-level different category sampled value data algorithm calculation module is not triggered, and the frame coordination control value is returned to zero. The frame estimation value is recorded in the communication.

[0015] If the specific data value equals the intermediate limit value, the intermediate and advanced calculation modules calculate the corresponding estimated value of frame usage; if the specific data value equals the intermediate and advanced limit value, the advanced calculation module calculates the corresponding estimated value of frame usage; if the specific data value equals the advanced limit value, the super-level calculation module calculates the corresponding estimated value of frame usage; the estimated value of frame usage is recorded in the communication, and the intermediate level different category sampling value data algorithm calculation module uses the estimated value of frame usage in the calculation of the current cumulative frame usage of the first level or the current cumulative frame usage of the primary and intermediate levels.

[0016] Furthermore, the basic data of the 5G network data sampling value data frame includes at least the collection time, collection amount, abnormal frequency, and abnormal period of the 5G network data sampling value data frame, and the variation data of the 5G network data sampling value data frame includes at least the time when the 5G network data sampling value data frame is sampled in real time, the real-time sampling level, and the allocation and circulation data of the 5G network data sampling value data frame.

[0017] Furthermore, the data sampling and identification module can monitor the usage of different types of 5G network data sampling value data frames, and set the data to be uploaded to the artificial intelligence data display module as needed.

[0018] Furthermore, the formula for calculating the current cumulative use of 5G network data sampling value data frames at level one is: Current cumulative use of 5G network data sampling value data frames = Current use of 5G network data sampling value data frames at level one = Cumulative ...

[0019] The formula for calculating the current cumulative frame usage of the 5G network data sampling value data frame at the primary and intermediate levels is: Current cumulative frame usage at the primary and intermediate levels = Current model data value + Cumulative frame usage at the end of the previous period + Estimated frame usage value.

[0020] The first-level limit is the minimum usage of 5G network data sampling value frames within a certain period set by the user. The initial and intermediate-level limits are the expected lifespan of the 5G network data sampling value frames. The intermediate, intermediate-high, and high-level limits are three real-time sampling levels of 5G network data sampling value frames. The specific data is the real-time sampling level specified by the user. The initial-level 5G network data sampling value frame processing information is "communication waste," the intermediate-level 5G network data sampling value frame processing information is "communication consumption," and the intermediate-level 5G network data sampling value frame processing information is "communication remaining." The specific data is the real-time sampling level data entered by the artificial intelligence data display module.

[0021] Furthermore, the real-time sampling level is determined based on the real-time sampling status of 5G network data sampling value data frames. The current model data is obtained by multiplying the current used frame group by a coefficient greater than 1, which is determined based on the usage status of 5G network data sampling value data frames.

[0022] Furthermore, the frame estimation formula used in the intermediate-level different category sampled value data algorithm calculation module is: Frame estimation value = R⊙U.

[0023] Furthermore, R represents a preset value based on real-time sampling, and S represents the real-time sampling level.

[0024] The present invention also provides a data frame group system for 5G network data communication, comprising:

[0025] The 5G network data receiving module is used to receive basic data of 5G network data sampling value data frames, variable data of 5G network data sampling value data frames, and store the 5G network data sampling value data frame data.

[0026] The data sampling and identification module is installed in the 5G network data sampling value data frame and is used to collect the current framing of the 5G network data sampling value data frame and transmit the data to the super cloud service computing platform.

[0027] The communication-level computing module is used to calculate the sampling volume within the period;

[0028] The communication level 1 judgment module is used to determine whether the sampling amount within the period is less than the level 1 limit value. If the group of frames is less than the level 1 limit value, the initial level 5G network data sampling value data frame processing information is sent to the overall data coordination and control module. If the group of frames is greater than the level 1 limit value, the intermediate level different category sampling value data algorithm calculation module is triggered.

[0029] The communication primary and intermediate calculation module is used to calculate the current cumulative used frame group at the first level and the current cumulative used frame group at the primary and intermediate levels of the 5G network data sampling value data frame.

[0030] The communication primary and intermediate level judgment module is used to determine whether specific data exists in the 5G network data sampling value data frame data stored in the communication. If the specific data exists, the intermediate level calculation module performs model calculations on the current use frame group of the 5G network data sampling value data frame to obtain the current model data value. The primary and intermediate level calculation module calculates the current cumulative use frame group value based on the current model data value, and runs the communication intermediate level judgment module to determine whether the current cumulative data value of the primary and intermediate level is not less than the primary and intermediate level limit value. If the specific data does not exist, the intermediate level judgment module determines whether the current cumulative data value of the primary level is not less than the primary and intermediate level limit value.

[0031] The communication intermediate computing module is used to perform model calculations on the current frame assembly of the 5G network data sample value data frames.

[0032] The intermediate-level communication judgment module is used to determine whether the current accumulated data value of the first-level or primary-intermediate level is not less than the primary-intermediate level limit value; if the current accumulated data value of the first-level or primary-intermediate level is not less than the primary-intermediate level limit value, then the intermediate-level 5G network data sampling value data frame processing information is sent to the overall data coordination and control module; if the current accumulated data value of the first-level or primary-intermediate level is less than the primary-intermediate level limit value, then the intermediate-level 5G network data sampling value data frame processing information is sent to the overall data coordination and control module.

[0033] The advanced judgment module in communication is used to determine whether specific data exists in the data frame variation data of the 5G network data sampling value. If specific data exists, the advanced judgment module is run; if specific data does not exist, the advanced judgment module is not run.

[0034] The advanced communication judgment module is used to judge the specific data. If the specific data value is equal to the intermediate limit value, the advanced communication calculation module is run to calculate the corresponding frame estimation value. If the specific data value is equal to the intermediate-advanced limit value, the advanced communication calculation module is run to calculate the corresponding frame estimation value. If the specific data value is equal to the advanced limit value, the advanced communication calculation module is run to calculate the corresponding frame estimation value.

[0035] The communication computing module is used to calculate the corresponding estimated value of the frame usage.

[0036] The 5G network data sampling value data frame overall coordination and control module is used to receive the 5G network data sampling value data frame processing information sent by the initial level different category sampling value data algorithm calculation module and the intermediate level different category sampling value data algorithm calculation module after execution, and send the information to the artificial intelligence data display module after coordination and control.

[0037] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0038] This application proposes a data frame grouping method and system for 5G network data communication. The system uses a data frame grouping method to record the basic data and variable data of 5G network data sampling value frames input from an artificial intelligence data display module, as well as the 5G network data sampling value frames collected by a data sampling identification module. This data is stored in a decentralized and tamper-proof super cloud service computing platform. The system utilizes different types of sampling value data algorithm computing modules deployed on the super cloud service computing platform to automatically send 5G network data sampling value frame processing reminders to the overall coordination and management module when: 5G network data sampling value frames reach their lifespan limit under normal use; their lifespan and value change due to real-time sampling or upgrades; or their utilization rate is low. After information coordination and management, the 5G network data sampling value frame processing reminders are sent to the artificial intelligence data display module. This enables precise processing of events occurring during the lifespan of 5G network data sampling value frames, improving the effectiveness of 5G network data sampling value frame management.

[0039] If applied to the management of base station equipment, this technical solution can intelligently determine whether a base station is underutilized or has reached its expected lifespan, based on its actual usage time and real-time sampling, while preventing data tampering. For example, for base stations with low usage frequency, it can alert the administrator that the base station's utilization rate is low and suggest optimizing base station allocation to maximize its use. For base stations with high usage intensity and those that have undergone real-time sampling, the longer the usage time, the greater the probability of unexpected failures leading to the loss of important data and interruption of user operations. In such cases, this technical solution will automatically adopt accelerated depreciation methods and promptly propose communication processing strategies for the decommissioned base station to the user. Through the above precise analysis and management, this solution can maximize the efficiency and effectiveness of base station use, reduce significant losses caused by improper base station equipment management, and complete the sampling data communication of the protection terminals on both sides of the communication line. Attached Figure Description

[0040] The accompanying drawings, which are included to provide a further understanding of embodiments of the invention and form part of this application, do not constitute a limitation thereof. In the drawings:

[0041] Figure 1 This is a flowchart illustrating the overall steps of the present invention;

[0042] Figure 2 This is a diagram of the overall system architecture of the present invention. Detailed Implementation

[0043] It should be noted that, unless otherwise specified, the embodiments and features in the embodiments of this application can be combined with each other. The following describes the application in further detail with reference to the accompanying drawings and specific embodiments.

[0044] Example 1

[0045] In this embodiment, as Figure 1 As shown, a data frame grouping method for 5G network data communication is provided, including:

[0046] Step S1: The 5G network data receiving module receives basic data of 5G network data sampling value data frames, variable data of 5G network data sampling value data frames, and stored data of the 5G network data sampling value data frames from the artificial intelligence data display module. For example, the basic data of 5G network data sampling value data frames includes information such as the collection time, collection volume, abnormal frequency, and abnormal period of the 5G network data sampling value data frames. The variable data of 5G network data sampling value data frames includes the time when the 5G network data sampling value data frames are sampled in real time, the specific details of the real-time sampling, and information such as the allocation, circulation, and sale of the 5G network data sampling value data frames. The specific details of the real-time sampling include at least the real-time sampling location, component replacement, and real-time sampling level. The data sampling identification module is installed in the 5G network data sampling value data frames to collect the framing of the 5G network data sampling value data frames and transmit the data to the super cloud service computing platform. The data sampling identification module can monitor the usage of different types of 5G network data sampling value data frames and set the data to be uploaded to the artificial intelligence data display module as needed. For example, it can be set to upload information when the 5G network data sampling value data frames are no longer in use.

[0047] In step S2, the super cloud service computing platform receives data from the 5G network data receiving module and the data sampling and identification module; different categories of sampled value data algorithm calculation modules are deployed in the super cloud service computing platform to process communication data information and make judgments. If the set standard is met, artificial intelligence algorithms are used to perform model calculations.

[0048] Step S3: The different categories of sampled value data algorithm calculation modules are divided into three levels. The execution of the initial level different categories of sampled value data algorithm calculation module is completed by a first-level judgment module and a first-level calculation module. The first-level calculation module calculates the sampling amount within the period, and the first-level judgment module determines whether the sampling amount within the period is less than the first-level limit value. If the frame group is less than the first-level limit value, the initial level different categories of sampled value data algorithm calculation module sends the initial level 5G network data sampled value data frame processing information to the overall data coordination and control module. The processed information after coordination and control is sent to the artificial intelligence data display module. If the frame group is greater than the first-level limit value, the intermediate level different categories of sampled value data algorithm calculation module is triggered. For example, the initial level 5G network data sampled value data frame processing information can be "communication waste", and the first-level limit value can be the minimum usage of 5G network data sampled value data frames within a certain period set by the user.

[0049] Step S4, the execution of the intermediate level different category sample value data algorithm calculation module is completed by the primary and intermediate level calculation module and the primary and intermediate level judgment module. After the primary and intermediate level calculation module calculates the current cumulative used frame group of the 5G network data sample value data frame level, the primary and intermediate level judgment module judges whether there is specific data in the 5G network data sample value data frame data stored in the communication.

[0050] If the specific data exists, the intermediate computing module performs model calculations on the 5G network data sampling value data frame using current frame grouping to obtain the current model data value. The primary and intermediate computing modules calculate the current cumulative frame grouping value of the primary and intermediate levels based on the current model data value. The intermediate judgment module determines whether the current cumulative data value of the primary and intermediate levels is not less than the primary and intermediate level limit value. If the specific data does not exist, the intermediate judgment module determines whether the current cumulative data value of the primary level is not less than the primary and intermediate level limit value.

[0051] If the current accumulated data value at level 1 or junior / intermediate is not less than the junior / intermediate limit, the intermediate-level different category sampling value data algorithm calculation module sends the intermediate-level 5G network data sampling value data frame processing information to the overall data coordination and control module, and the processed information after coordination and control is sent to the artificial intelligence data display module; if the level 1 or junior / intermediate...

[0052] If the current accumulated data value is less than the initial and intermediate level limit value, the intermediate level different category sampling value data algorithm calculation module sends the intermediate level 5G network data sampling value data frame processing information to the overall data coordination and control module. The processed information after coordination and control is sent to the artificial intelligence data display module. For example, the initial and intermediate level limit value can be the preset expected lifespan of the 5G network data sampling value data frame, the intermediate level 5G network data sampling value data frame processing information can be "communication consumption", and the intermediate level 5G network data sampling value data frame processing information can be "communication remaining".

[0053] Step S5: The execution of the high-level different category sample value data algorithm calculation module is completed by the intermediate-high-level and high-level judgment modules and the intermediate-high-level, high-level and special-level calculation modules. The intermediate-high-level judgment module determines whether there is real-time sample data in the 5G network data sample value data frame change data. If real-time sample data exists, the high-level judgment module judges the real-time sample data; if there is no real-time sample data, the subsequent operations of the intermediate-level different category sample value data algorithm calculation module are not executed.

[0054] If the real-time sampled data value is equal to the intermediate limit value, the intermediate and advanced calculation modules calculate the corresponding estimated value of frame usage; if the real-time sampled data value is equal to the intermediate and advanced limit value, the advanced calculation module calculates the corresponding estimated value of frame usage; if the real-time sampled data value is equal to the advanced limit value, the super-level calculation module calculates the corresponding estimated value of frame usage; the estimated value of frame usage is recorded in the communication, and the intermediate-level different category sampled value data algorithm calculation module uses the estimated value of frame usage in the calculation of the current cumulative frame usage at the first level.

[0055] In step S6, the 5G network data sampling value data frame overall coordination and control module receives the processing information sent by the different categories of sampling value data algorithm calculation modules after execution, and sends the information after coordination and control to the artificial intelligence data display module as a 5G network data sampling value data frame processing reminder.

[0056] The conditions for starting the calculation of the current cumulative frame usage at the first level of 5G network data sampling value data frame are: the primary and intermediate calculation modules receive the current used frame, the cumulative used frame at the end of the previous period, and the estimated value of used frame.

[0057] The conditions for starting the calculation of the current cumulative frame usage of the 5G network data sampling value data frame at the primary and intermediate levels are: the primary and intermediate calculation module receives the current model data value, the cumulative frame usage at the end of the previous period, and the estimated value of frame usage.

[0058] like Figure 2 As shown, a data frame group system for 5G network data communication includes:

[0059] The 5G network data receiving module is used to receive basic data of 5G network data sampling value data frames, variable data of 5G network data sampling value data frames, and store the 5G network data sampling value data frame data.

[0060] The data sampling and identification module is installed in the 5G network data sampling value data frame and is used to collect the current framing of the 5G network data sampling value data frame and transmit the data to the super cloud service computing platform.

[0061] The communication-level computing module is used to calculate the sampling volume within the period;

[0062] The communication level 1 judgment module is used to determine whether the sampling amount within the period is less than the level 1 limit value. If the group of frames is less than the level 1 limit value, the initial level 5G network data sampling value data frame processing information is sent to the overall data coordination and control module. If the group of frames is greater than the level 1 limit value, the intermediate level different category sampling value data algorithm calculation module is triggered.

[0063] The communication primary and intermediate calculation module is used to calculate the current cumulative used frame group at the first level and the current cumulative used frame group at the primary and intermediate levels of the 5G network data sampling value data frame.

[0064] The communication primary and intermediate level judgment module is used to determine whether specific data exists in the 5G network data sampling value data frame data stored in the communication. If the specific data exists, the intermediate level calculation module performs model calculations on the current use frame grouping of the 5G network data sampling value data frame to obtain the current model data value. The primary and intermediate level calculation module calculates the current cumulative use frame grouping value of the primary and intermediate level based on the current model data value, and runs the communication intermediate level judgment module to determine whether the current cumulative data value of the primary and intermediate level is not less than the primary and intermediate level limit value. If the specific data does not exist, the intermediate level judgment module determines whether the current cumulative data value of the primary level is not less than the primary and intermediate level limit value.

[0065] The communication intermediate computing module is used to perform model calculations on the current frame assembly of the 5G network data sample value data frames.

[0066] The intermediate-level communication judgment module is used to determine whether the current accumulated data value of the first-level or primary-intermediate level is not less than the primary-intermediate level limit value; if the current accumulated data value of the first-level or primary-intermediate level is not less than the primary-intermediate level limit value, then the intermediate-level 5G network data sampling value data frame processing information is sent to the overall data coordination and control module; if the current accumulated data value of the first-level or primary-intermediate level is less than the primary-intermediate level limit value, then the intermediate-level 5G network data sampling value data frame processing information is sent to the overall data coordination and control module.

[0067] The advanced judgment module in communication is used to determine whether specific data exists in the data frame variation data of the 5G network data sampling value. If specific data exists, the advanced judgment module is run; if specific data does not exist, the advanced judgment module is not run.

[0068] The advanced communication judgment module is used to judge the specific data. If the specific data value is equal to the intermediate limit value, the advanced communication calculation module is run to calculate the corresponding frame estimation value. If the specific data value is equal to the intermediate-advanced limit value, the advanced communication calculation module is run to calculate the corresponding frame estimation value. If the specific data value is equal to the advanced limit value, the advanced communication calculation module is run to calculate the corresponding frame estimation value.

[0069] The communication computing module is used to calculate the corresponding estimated value of the frame usage.

[0070] The 5G network data sampling value data frame overall coordination and control module is used to receive the 5G network data sampling value data frame processing information sent by the initial level different category sampling value data algorithm calculation module and the intermediate level different category sampling value data algorithm calculation module after execution, and send the information to the artificial intelligence data display module after coordination and control.

[0071] Example 2

[0072] Taking base station equipment as an example, base station information is recorded into the super cloud service computing platform through the 5G network data receiving module. This includes two types of information: one is the basic information of newly purchased base stations, including: size, model, price, collection time, collection volume, etc. Then, a data sampling and identification module is installed on the base station. This tag can be set to collect the data and transmit the data to the super cloud service computing platform. After installation, the tag is set to automatically collect the base station usage time. When the base station finishes running, it automatically uploads the usage time data to the super cloud service computing platform and records the date. The other type is the information on changes to the base station or real-time sampling. Change information includes: changes in the user of the base station, usage time, etc. Real-time sampling information includes: fault location, replaced parts, real-time sampling level, etc.

[0073] The super cloud service computing platform deploys different types of sampled value data algorithm computing modules to process and judge communication data information. When the set standard is met, artificial intelligence algorithms are used to perform model calculations.

[0074] The different categories of sampled value data algorithm calculation modules are divided into three levels. The execution of the initial level different categories of sampled value data algorithm calculation module is completed by a first-level judgment module and a first-level calculation module. The first-level calculation module calculates the frame grouping of the base station within one year, and the first-level judgment module determines whether the frame grouping of the base station within one year is less than 30%. If the frame grouping of the base station within one year is less than 30%, the initial level different categories of sampled value data algorithm calculation module sends information that the base station has low utilization and waste to the overall data coordination and control module. The processed information after coordination and control is sent to the artificial intelligence data display module. Assuming that the normal usage time of the base station within one year is 10 hours a day, 20 days a month, and twelve months a year, then under normal circumstances, the base station will be used for 2400 hours a year. Therefore, the base station that uses an average of 3 hours a day is obviously underutilized. If the frame grouping is greater than 30%, the intermediate level different categories of sampled value data algorithm calculation module is triggered.

[0075] The execution of the intermediate-level sampling value data algorithm calculation module is completed by the primary and intermediate-level calculation modules and the primary and intermediate-level judgment modules. The primary and intermediate-level calculation module calculates the current cumulative usage time of the base station (obtained by adding the current usage time, the cumulative usage time at the end of the previous period, and the estimated usage time). Then, the primary and intermediate-level judgment module determines whether the base station data stored in the communication contains real-time sampling data for the first level. If the real-time sampling data for the first level exists, the intermediate-level calculation module performs model calculations on the current usage time of the base station, multiplying the current usage time by a factor greater than 1. The coefficients are used to obtain the current model usage time value. The primary and intermediate calculation modules calculate the current cumulative usage time value of the primary and intermediate levels based on the current model usage time value (obtained by adding the current model usage time value, the cumulative usage time at the end of the previous period, and the estimated usage time). The intermediate judgment module judges whether the current cumulative time value of the primary and intermediate levels is not less than 18,000 hours (assuming the base station is used for 10 hours per day, 300 days per year, and the expected service life is 6 years). If the information of the real-time sampling level 1 does not exist, the intermediate judgment module judges whether the current cumulative time value of level 1 is not less than 18,000 hours.

[0076] If the current cumulative usage time for Level 1 or Junior / Intermediate is not less than 18,000 hours, the intermediate-level different category sampling value data algorithm calculation module sends the base station's "communication consumption" information to the overall data coordination and control module, and the processed information after coordination and control is sent to the artificial intelligence data display module; if the current cumulative usage time for Level 1 or Junior / Intermediate is less than 18,000 hours, the intermediate-level different category sampling value data algorithm calculation module sends the base station's "communication remaining" information to the overall data coordination and control module, and the processed information after coordination and control is sent to the artificial intelligence data display module.

[0077] The execution of the intermediate-level different category sampling value data algorithm calculation module is completed by the intermediate-high level and high level judgment modules and the intermediate-high level, high level and special level calculation modules. The intermediate-high level judgment module determines whether there is real-time sampling data in the base station change data. If real-time sampling data exists, the high level judgment module judges the real-time sampling data. The real-time sampling data is the real-time sampling level input by the artificial intelligence data display module: Level 1 refers to real-time sampling that improves base station performance, such as base station processor updates and base station hard drive replacements; Level 2 refers to real-time sampling that affects the subsequent use of the base station, such as replacing damaged soldered components on the base station circuit board; Level 3 refers to real-time sampling that does not seriously affect the base station performance, such as base station screens, keyboards, and interfaces.

[0078] Upgrading the processor can make a poorly performing base station run more smoothly, extending its lifespan. Replacing the base station's hard drive increases its available space, making it smoother and extending its lifespan. However, if the base station's circuit board is burned out and its components need to be replaced, the skill level and working environment of the personnel performing real-time sampling may differ from those in the factory where the base station was manufactured. This could result in base stations that have undergone real-time sampling experiencing faster wear and tear compared to those that haven't. On the other hand, real-time sampling of display screen, keyboard, and interface malfunctions results in minimal difference in performance between the sampled and unsampled versions, thus having little impact on the base station's usability.

[0079] If the real-time sampling level value is Level 1, the intermediate and advanced calculation modules execute the corresponding usage time estimation formula A1 for calculation; if the real-time sampling level value is Level 2, the advanced calculation module executes the corresponding usage time estimation formula A2 for calculation; if the real-time sampling level value is Level 3, the advanced calculation module executes the corresponding usage time estimation formula A3 for calculation; the obtained usage time estimate is recorded in the communication, and the intermediate level different category sampling value data algorithm calculation module uses the usage time estimate in the calculation of the current cumulative usage time of Level 1 or primary-intermediate level; if there is no real-time sampling data, the execution of the intermediate level different category sampling value data algorithm calculation module is not triggered.

[0080] The formulas for estimating usage time are as follows:

[0081] A1: Estimated usage time = T × S

[0082] A2: Estimated usage time = P × S

[0083] A3: Estimated usage time = H × S

[0084] One possible approach is as follows: when S=1, T=-5000h; when S=2, P=500h; when S=3, H=5h. For example, a base station is sent for real-time sampling due to a malfunction during use and a new processor is replaced. The user records the real-time sampling data corresponding to this real-time sampling information into the super cloud service computing platform through the 5G network data receiving module. After the intermediate and advanced judgment modules determine that real-time sampling data exists, the advanced judgment module determines that the real-time sampling level is level one. Therefore, the intermediate and advanced calculation modules execute the corresponding usage time estimation formula A1 to calculate, with T preset to -5000h and S to 1, and the calculated usage time estimate is -5000h. Because of the replacement of important components, this is equivalent to increasing the expected service life of the base station, and this usage time estimate is recorded in the communication.

[0085] After estimating the usage time based on different real-time sampling levels, this time value is recorded in the communication. The intermediate-level different category sampling value data calculation module records the estimated usage time data into the calculation of the current cumulative usage time of the first level. At the same time, when the initial and intermediate judgment module determines that the data of the base station stored in the communication contains the real-time sampling of the first level, the intermediate calculation module performs model calculation on the current usage time of the base station. If it is a first-level real-time sampling, the current usage time is multiplied by 1.2. The initial and intermediate calculation modules calculate the current cumulative usage time value of the initial and intermediate levels based on the current model usage time value. Multiplying by 1.2 is equivalent to increasing the usage time of the base station. This is because when the real-time sampling level is the first level (e.g., replacing a new processor), although the service life of the base station is increased, the overall performance degradation of the base station will accelerate because other hardware will not be updated at the same level. That is, the service life will be reduced faster, which is reflected in the communication management as accelerated depreciation. Furthermore, as the number of real-time samplings increases, the performance degradation becomes more severe, and the multiplication factor should also change.

[0086] After obtaining the current model usage time value, the primary and intermediate calculation modules calculate the current cumulative usage time value of the primary and intermediate levels based on the current model usage time value, and the intermediate judgment module judges whether the current cumulative usage time value of the primary and intermediate levels is not less than 18000h.

[0087] If the current cumulative usage time for the primary and intermediate levels is not less than 18,000 hours, the intermediate level's different categories of sampled data algorithm calculation module sends the base station's "communication consumption" information to the overall data coordination and control module. The processed information after coordination and control is then sent to the artificial intelligence data display module. If the current cumulative usage time for the primary and intermediate levels is less than 18,000 hours, the intermediate level's different categories of sampled data algorithm calculation module sends the base station's "communication remaining" information to the overall data coordination and control module. The processed information after coordination and control is then sent to the artificial intelligence data display module. For example, if the base station had already used 15,000 hours before the fault occurred, and the remaining estimated usable time was originally 3,000 hours, and after updating the processor's real-time sampling, it used for another 10 hours, then, according to the calculation method for the current cumulative time of the primary and intermediate levels:

[0088] Current cumulative usage time for beginner and intermediate levels = 10 × 1.2 + 15000 - 5000 = 10012 (h)

[0089] The currently used time has increased from 15010h to 10012h, with an estimated remaining usable time of 7988h. The base station's remaining lifespan has increased due to this real-time sampling, but future usage times will be calculated incrementally to accelerate its lifespan reduction, essentially accelerating depreciation. The impact of the estimated usage time of this real-time sampling (-5000h) on the base station's cumulative usage time will only be counted once; subsequent cumulative usage time calculations will not repeatedly include this estimated usage time.

[0090] For example, a base station experiences a display malfunction during use and undergoes real-time sampling to replace the display. The user records the real-time sampling level data corresponding to this real-time sampling information into the super cloud service computing platform through the 5G network data receiving module. After the intermediate and advanced judgment modules determine the existence of real-time sampling data, the advanced judgment module determines that the real-time sampling level is level three. Therefore, the special-level calculation module executes the corresponding usage time estimation formula A3 to calculate the estimated usage time as 15 hours, where H is preset to 5 hours and S is 3. Since replacing the base station display has little impact on the base station's operating performance, this type of real-time sampling also has little impact on the overall lifespan of the base station. However, compared to the original base station, the disassembly and assembly operations during the real-time sampling process of replacing the display will cause slight damage to the base station. The impact of this damage on the base station's lifespan is reflected in the estimated usage time corresponding to the real-time sampling, which is recorded in the communication.

[0091] The intermediate-level different category sampling value data calculation module records the estimated usage time data into the calculation of the current cumulative usage time of the first level. At this time, the primary and intermediate judgment modules determine that the real-time sampling data of the first level does not exist in the base station data stored in the communication, and do not trigger the model calculation of the intermediate calculation module; the intermediate judgment module determines whether the current cumulative time value of the first level is not less than 18000h.

[0092] If the current accumulated usage time of Level 1 is not less than 18,000 hours, the intermediate-level different category sampling value data algorithm calculation module sends the base station's "communication consumption" information to the overall data coordination and control module. The processed information after coordination and control is then sent to the artificial intelligence data display module. If the current accumulated usage time of Level 1 is less than 18,000 hours, the intermediate-level different category sampling value data algorithm calculation module sends the base station's "communication remaining" information to the overall data coordination and control module. The processed information after coordination and control is then sent to the artificial intelligence data display module. For example, if the base station had already used 10,000 hours before the fault occurred, and the remaining estimated usable time was originally 8,000 hours, and after real-time sampling during base station display replacement, it used for another 10 hours, as can be seen from the calculation method of the current accumulated time of Level 1:

[0093] Level 1 current cumulative usage time = 10 + 10000 + 15 = 10025 (h)

[0094] The currently used time has changed from 10010h to 10025h, and the remaining estimated usable time is 7975h. The impact of the estimated usage time of 15h corresponding to this real-time sampling on the cumulative usage time of the base station will only be counted once, and the estimated usage time will not be repeatedly counted in subsequent cumulative calculations of base station usage time.

[0095] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "set," "install," "connect," "link," and "fix" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal communication between two components. Those skilled in the art will understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0096] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various equivalent changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A method for data frame grouping in 5G network data communication, characterized in that, The method includes: The 5G network data receiving module receives basic data of 5G network data sampling value data frames, variable data of 5G network data sampling value data frames, and stores the 5G network data sampling value data frame data input from the artificial intelligence data display module. The data sampling and identification module is installed in the 5G network data sampling value data frame, collects the current use frame of the 5G network data sampling value data frame, and transmits the data to the super cloud service computing platform. The super cloud service computing platform receives data from the 5G network data receiving module and the data sampling and identification module. Different categories of sampled value data algorithm calculation modules are deployed on the super cloud service computing platform to process and judge the 5G network data sampled value data frame data in communication. If the set standard is met, artificial intelligence algorithms are used to perform model calculation. The different categories of sampled value data algorithm calculation module is divided into three levels. The execution of the initial level different categories of sampled value data algorithm calculation module is completed by the first-level judgment module and the first-level calculation module. The first-level calculation module calculates the sampling amount within the period, and the first-level judgment module judges whether the sampling amount within the period is less than the first-level limit value. If the frame is less than the first-level limit value, the initial level different categories of sampled value data algorithm calculation module sends the initial level 5G network data sampled value data frame processing information to the overall data coordination and control module. The processing information after coordination and control is sent to the artificial intelligence data display module. If the frame group is greater than the first-level limit value, the intermediate-level different category sampled value data algorithm calculation module is triggered; The execution of the intermediate-level different categories of sampled value data algorithm calculation module is completed by the primary-intermediate level, intermediate calculation module and primary-intermediate level, intermediate judgment module. After the primary-intermediate level calculation module calculates the current cumulative used frame group of the 5G network data sampled value data frame level, the primary-intermediate level judgment module judges whether there is specific data in the 5G network data sampled value data frame data stored in the communication. If the specific data exists, the intermediate computing module performs model calculations on the 5G network data sampling value data frame using current frame grouping to obtain the current model data value. The primary and intermediate computing modules calculate the current cumulative frame grouping value of the primary and intermediate levels based on the current model data value. The intermediate judgment module determines whether the current cumulative data value of the primary and intermediate levels is not less than the primary and intermediate level limit value. If the specific data does not exist, the intermediate judgment module determines whether the current cumulative data value of the primary level is not less than the primary and intermediate level limit value. If the current accumulated data value of Level 1 or the initial / intermediate level is not less than the initial / intermediate level limit, the intermediate level different category sampling value data algorithm calculation module sends the intermediate level 5G network data sampling value data frame processing information to the overall data coordination and control module, and the processed information after coordination and control is sent to the artificial intelligence data display module; if the current accumulated data value of Level 1 or the initial / intermediate level is less than the initial / intermediate level limit, the intermediate level different category sampling value data algorithm calculation module sends the intermediate level 5G network data sampling value data frame processing information to the overall data coordination and control module, and the processed information after coordination and control is sent to the artificial intelligence data display module. The execution of the high-level different category sampled value data algorithm calculation module is completed by the intermediate-high-level and high-level judgment modules and the intermediate-high-level, high-level and special-level calculation modules. The intermediate-high-level judgment module determines whether there is specific data in the 5G network data sampled value data frame change data. If specific data exists, the high-level judgment module judges the specific data. If specific data does not exist, the execution of the intermediate-level different category sampled value data algorithm calculation module is not triggered, and the frame coordination control value is returned to zero, and the frame prediction value is recorded in the communication. If a specific data value equals the intermediate limit value, the intermediate and advanced calculation modules calculate the corresponding estimated value of frame usage; if the specific data value equals the intermediate and advanced limit value, the advanced calculation module calculates the corresponding estimated value of frame usage; if the specific data value equals the advanced limit value, the super-level calculation module calculates the corresponding estimated value of frame usage; the estimated value of frame usage is recorded in the communication, and the intermediate level different category sampling value data algorithm calculation module uses the frame usage coordination and control value in the calculation of the current cumulative frame usage of the first level or the current cumulative frame usage of the primary and intermediate levels.

2. The data frame grouping method for 5G network data communication according to claim 1, characterized in that: The basic data of the 5G network data sampling value data frame includes at least the collection time, collection amount, abnormal frequency, and abnormal period of the 5G network data sampling value data frame. The change data of the 5G network data sampling value data frame includes at least the time when the 5G network data sampling value data frame is sampled in real time, the real-time sampling level, and the allocation and circulation data of the 5G network data sampling value data frame.

3. The data frame grouping method for 5G network data communication according to claim 1, characterized in that: The data sampling and identification module can monitor the usage of different types of 5G network data sampling value data frames, and set the data to be uploaded to the artificial intelligence data display module as needed.

4. A data frame grouping method for 5G network data communication according to claim 1, characterized in that: The formula for calculating the current cumulative use of frame groups at the first level of the 5G network data sampling value data frame is: Current cumulative use of frame groups at the first level = Frame groups used in the current period + Frame groups used at the end of the previous period + Estimated value of frame groups used. The formula for calculating the current cumulative frame usage of the 5G network data sampling value data frame at the primary and intermediate levels is: Current cumulative frame usage at the primary and intermediate levels = Current model data value + Cumulative frame usage at the end of the previous period + Estimated frame usage value. The first-level limit value is the minimum usage of 5G network data sampling value data frames within a certain period set by the user. The first-intermediate limit value is the expected lifespan of the 5G network data sampling value data frames. The intermediate limit value, intermediate-high limit value, and high limit value are three real-time sampling levels of 5G network data sampling value data frames. The specific data refers to the real-time sampling level specified by the user; the initial level 5G network data sampling value data frame processing information is "communication waste", the intermediate level 5G network data sampling value data frame processing information is "communication consumption", and the intermediate level 5G network data sampling value data frame processing information is "communication remaining"; the specific data refers to the real-time sampling level data entered by the artificial intelligence data display module.

5. The method according to claim 1, characterized in that: The real-time sampling level is determined based on the real-time sampling of 5G network data sampling value data frames. The current model data is obtained by multiplying the current used frame group by a coefficient greater than 1, which is determined based on the usage of 5G network data sampling value data frames.

6. A data frame grouping method for 5G network data communication according to claim 5, characterized in that: The frame estimation formula used in the algorithm calculation module for different categories of sampled data at the intermediate level is: Frame estimation value = R⊙U, where R represents the preset value based on the real-time sampling situation, and S represents the real-time sampling level.

7. A data frame group system for 5G network data communication, characterized in that, A data frame grouping method for 5G network data communication according to any one of claims 1-6, the system comprising: The 5G network data receiving module is used to receive basic data of 5G network data sampling value data frames, variable data of 5G network data sampling value data frames, and store the 5G network data sampling value data frame data. The data sampling and identification module is installed in the 5G network data sampling value data frame and is used to collect the current framing of the 5G network data sampling value data frame and transmit the data to the super cloud service computing platform. The communication-level computing module is used to calculate the sampling volume within the period; The communication level 1 judgment module is used to determine whether the sampling amount within the period is less than the level 1 limit value. If the group of frames is less than the level 1 limit value, the initial level 5G network data sampling value data frame processing information is sent to the overall data coordination and control module. If the group of frames is greater than the level 1 limit value, the intermediate level different category sampling value data algorithm calculation module is triggered. The communication primary and intermediate calculation module is used to calculate the current cumulative used frame group at the first level and the current cumulative used frame group at the primary and intermediate levels of the 5G network data sampling value data frame. The communication primary and intermediate level judgment module is used to determine whether specific data exists in the 5G network data sampling value data frame data stored in the communication. If the specific data exists, the intermediate level calculation module performs model calculations on the current use frame grouping of the 5G network data sampling value data frame to obtain the current model data value. The primary and intermediate level calculation module calculates the current cumulative use frame grouping value of the primary and intermediate level based on the current model data value, and runs the communication intermediate level judgment module to determine whether the current cumulative data value of the primary and intermediate level is not less than the primary and intermediate level limit value. If the specific data does not exist, the intermediate level judgment module determines whether the current cumulative data value of the primary level is not less than the primary and intermediate level limit value.

8. A data frame group system for 5G network data communication according to claim 7, characterized in that: The system also includes: The communication intermediate computing module is used to perform model calculations on the current frame assembly of the 5G network data sample value data frames. The intermediate-level communication judgment module is used to determine whether the current accumulated data value of the first-level or primary-intermediate level is not less than the primary-intermediate level limit value; if the current accumulated data value of the first-level or primary-intermediate level is not less than the primary-intermediate level limit value, then the intermediate-level 5G network data sampling value data frame processing information is sent to the overall data coordination and control module; if the current accumulated data value of the first-level or primary-intermediate level is less than the primary-intermediate level limit value, then the intermediate-level 5G network data sampling value data frame processing information is sent to the overall data coordination and control module. The advanced judgment module in communication is used to determine whether specific data exists in the data frame variation data of the 5G network data sampling value. If specific data exists, the advanced judgment module is run; if specific data does not exist, the advanced judgment module is not run.

9. A data frame group system for 5G network data communication according to claim 7, characterized in that: The system also includes: The advanced communication judgment module is used to judge the specific data. If the specific data value is equal to the intermediate limit value, the advanced communication calculation module is run to calculate the corresponding frame estimation value. If the specific data value is equal to the intermediate-advanced limit value, the advanced communication calculation module is run to calculate the corresponding frame estimation value. If the specific data value is equal to the advanced limit value, the advanced communication calculation module is run to calculate the corresponding frame estimation value. The communication computing module is used to calculate the corresponding estimated value of the frame usage. The 5G network data sampling value data frame overall coordination and control module is used to receive the 5G network data sampling value data frame processing information sent by the initial level different category sampling value data algorithm calculation module and the intermediate level different category sampling value data algorithm calculation module after execution, and send the information to the artificial intelligence data display module after coordination and control.

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