Network operation and maintenance platform based on 5G communication technology

Abstract

The invention belongs to the field of network operation and maintenance, relates to a data analysis technology, is used for solving the problem that in the prior art, targeted optimization processing cannot be carried out in time when the overall network transmission state is abnormal, and particularly relates to a network operation and maintenance platform based on the 5G communication technology. The server is in communication connection with a communication monitoring module, an overall evaluation module, a superposition comparison module, an optimization analysis module and a database; the communication monitoring module is used for performing communication state monitoring analysis on the 5G communication platform: marking a network communication node of the 5G communication platform as a monitoring object, generating a monitoring period, dividing the monitoring period into a plurality of monitoring time periods, and obtaining a communication coefficient TX of the monitoring object in the monitoring time periods; according to the method, the communication state of the 5G communication platform can be monitored and analyzed, the communication state of the network communication node is fed back according to the communication coefficient, the network communication node is subjected to differential marking, and data support is provided for the overall evaluation and analysis process.

Description

Technical Field

[0001] The present invention belongs to the field of network operation and maintenance, and relates to data analysis technology, specifically a network operation and maintenance platform based on 5G communication technology. Background Art

[0002] The network communication operation and maintenance platform is a platform specifically used to manage and maintain network communication infrastructure. It aims to ensure the efficient, secure and reliable operation of network communication. Its main functions include machine management, resource management, network management, architecture infrastructure, deployment platform, configuration management platform, data management platform, monitoring platform, capacity management, traffic management, fault management, business scheduling platform, workflow engine, permission management, operation and maintenance metadata management and operation and maintenance unified portal.

[0003] The invention patent with announcement number CN113950082B discloses a method and device for determining network operation and maintenance strategies. The determination method can determine relatively important target grids according to the importance parameters of the grids to be evaluated, and determine the operation and maintenance strategies for them according to the network status of these target grids. Different network statuses correspond to different operation and maintenance strategies; however, the determination method cannot combine the network transmission status, network node marking results and their operating loads for comprehensive analysis and evaluation, resulting in the inability to timely perform targeted optimization processing when the overall network transmission status is abnormal, and the network communication status cannot be guaranteed.

[0004] In view of the above technical problems, this application proposes a solution. Summary of the invention

[0005] The purpose of the present invention is to provide a network operation and maintenance platform based on 5G communication technology, which is used to solve the problem that the prior art cannot perform targeted optimization processing in a timely manner when the overall network transmission status is abnormal;

[0006] The technical problem to be solved by the present invention is: how to provide a network operation and maintenance platform based on 5G communication technology that can perform targeted optimization processing in a timely manner when the overall network transmission status is abnormal.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] A network operation and maintenance platform based on 5G communication technology includes a server, wherein the server is communicatively connected to a communication monitoring module, an overall evaluation module, an overlap comparison module, an optimization analysis module, and a database;

[0009] The communication monitoring module is used to monitor and analyze the communication status of the 5G communication platform: mark the network communication nodes of the 5G communication platform as monitoring objects, generate a monitoring cycle and divide the monitoring cycle into several monitoring time periods, and obtain the throughput data TT, delay data YC and packet loss data DB of the monitoring object at the end of the monitoring time period; obtain the communication coefficient TX of the monitoring object in the monitoring time period by numerically calculating the throughput data TT, delay data YC and packet loss data DB; mark the monitoring object as a normal object or an abnormal object according to the communication coefficient TX;

[0010] The overall evaluation module is used to perform an overall evaluation and analysis on the 5G communication platform: the ratio of the number of abnormal objects to the number of monitored objects in the monitoring period is marked as the abnormal coefficient of the monitoring period, the monitoring period is marked as a normal period or an abnormal period by the abnormal coefficient, and at the end of the monitoring period, the ratio of the number of normal periods to the number of monitoring periods is marked as the normal coefficient of the monitoring period, and whether the overall evaluation result of the monitoring period is qualified is determined by the normal coefficient;

[0011] The overlap comparison module is used to perform overlap mark comparison analysis on the network communication nodes of the 5G communication platform: mark the abnormal objects in the abnormal period as analysis objects, mark the number of times the monitored objects are marked as analysis objects as the overlap value of the monitored objects, and form an overlap set by the overlap values ​​of all monitored objects. The overlap set is calculated by variance to obtain the overlap coefficient, and the overlap mark comparison result of the 5G communication platform is judged by the overlap coefficient whether it meets the requirements;

[0012] The optimization analysis module is used to optimize and analyze the network communication status of the 5G communication platform.

[0013] Furthermore, the throughput data TT is the maximum throughput of the monitored object when performing data transmission during the monitoring period, the delay data YC is the maximum network delay of the monitored object when performing data transmission during the monitoring period, and the packet loss data is the maximum packet loss rate of the monitored object when performing data transmission during the monitoring period.

[0014] Furthermore, the specific process of marking the monitored object as a normal object or an abnormal object includes: obtaining the communication threshold TXmin through the database, and comparing the communication coefficient TX of the monitored object during the monitoring period with the communication threshold TXmin: if the communication coefficient TX is less than the communication threshold TXmin, it is determined that the network communication status of the monitored object during the monitoring period does not meet the requirements, and the corresponding monitored object is marked as an abnormal object; if the communication coefficient TX is greater than or equal to the communication threshold TXmin, it is determined that the network communication status of the monitored object during the monitoring period meets the requirements, and the corresponding monitored object is marked as a normal object.

[0015] Furthermore, the specific process of marking the monitoring period as a normal period or an abnormal period includes: obtaining the abnormal threshold through the database, and comparing the abnormal coefficient with the abnormal threshold: if the abnormal coefficient is less than the abnormal threshold, it is determined that the overall state of the monitoring period meets the requirements, and the corresponding monitoring period is marked as a normal period; if the abnormal coefficient is greater than or equal to the abnormal threshold, it is determined that the overall state of the monitoring period does not meet the requirements, and the corresponding monitoring period is marked as an abnormal period.

[0016] Furthermore, the specific process of determining whether the overall evaluation result of the monitoring period is qualified includes: obtaining a normal threshold through a database, and comparing a normal coefficient with the normal threshold: if the normal coefficient is less than the normal threshold, then the overall evaluation result of the monitoring period is determined to be unqualified, and an overlap comparison signal is generated and sent to the overlap comparison module through the server; if the normal coefficient is greater than or equal to the normal threshold, then the overall evaluation result of the monitoring period is determined to be qualified.

[0017] Furthermore, the specific process of determining whether the overlap mark comparison result of the 5G communication platform meets the requirements includes: obtaining the overlap threshold through the database, and comparing the overlap coefficient with the overlap threshold: if the overlap coefficient is less than the overlap threshold, then the overlap mark comparison result of the 5G communication platform is determined to meet the requirements, an optimization analysis signal is generated and the optimization analysis signal is sent to the optimization analysis module through the server; if the overlap coefficient is greater than or equal to the overlap threshold, then the overlap mark comparison result of the 5G communication platform is determined to not meet the requirements, the L1 monitoring objects with the largest overlap value are marked as fault processing objects, a fault processing signal is generated and the fault processing signal and the fault processing object are sent to the mobile terminal of the administrator through the server.

[0018] Furthermore, the specific process of the optimization and analysis module optimizing and analyzing the network communication status of the 5G communication platform includes: obtaining the traffic value of the monitored object during the abnormal period, arranging all the monitored objects during the abnormal period in order of the communication coefficient TX value from small to large to obtain a communication sequence, arranging all the monitored objects during the abnormal period in order of the traffic value value from large to small to obtain a traffic sequence, comparing the communication sequence with the traffic sequence to obtain the capacity optimization coefficient, obtaining the capacity optimization threshold through the database, and comparing the capacity optimization coefficient with the capacity optimization threshold: if the capacity optimization coefficient is less than the capacity optimization threshold, a capacity optimization signal is generated and the capacity optimization signal is sent to the administrator's mobile terminal through the server; if the capacity optimization coefficient is greater than or equal to the capacity optimization threshold, a base station maintenance signal is generated and the base station maintenance signal is sent to the administrator's mobile terminal through the server.

[0019] Furthermore, the process of obtaining the capacity optimization coefficient includes: marking the absolute value of the difference between the sequence number of the monitored object in the communication sequence and the sequence number in the traffic sequence as the traffic impact value of the monitored object, summing and averaging the traffic impact values ​​of all monitored objects in the abnormal period to obtain the capacity optimization value of the abnormal period, and summing and averaging the capacity optimization values ​​of all abnormal periods to obtain the capacity optimization coefficient.

[0020] The present invention has the following beneficial effects:

[0021] 1. The communication monitoring module can monitor and analyze the communication status of the 5G communication platform. The communication coefficient can be obtained by comprehensive analysis and calculation of multiple communication performance parameters of the network communication nodes. The communication status of the network communication nodes can be fed back based on the communication coefficient, and the network communication nodes can be marked differently to provide data support for the overall evaluation and analysis process.

[0022] 2. The overall evaluation module can be used to conduct an overall evaluation and analysis of the 5G communication platform. The overall communication status of the monitoring period can be evaluated based on the marking results of abnormal objects. Then, at the end of the monitoring period, the necessity of maintenance of the 5G communication platform can be judged by the normal coefficient, so as to automatically trigger the coincidence comparison analysis when necessary;

[0023] 3. The coincidence comparison module can be used to compare and analyze the coincidence marks of the network communication nodes of the 5G communication platform, extract the monitoring object marking results of all abnormal periods and form a coincidence set, and evaluate the failure probability of a single network communication node according to the discrete degree of the element values ​​in the coincidence set, so that the fault can be quickly handled;

[0024] 4. The optimization analysis module can be used to optimize and analyze the network communication status of the 5G communication platform. The optimization decisions of the 5G communication platform can be marked based on the comparison results of the traffic sequence and the communication sequence to improve the optimization efficiency of the 5G communication platform. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0026] Figure 1 is a system block diagram of Embodiment 1 of the present invention;

[0027] Figure 2 This is a flow chart of the method of Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0028] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0029] Embodiment 1: Figure 1 As shown, the network operation and maintenance platform based on 5G communication technology includes a server, and the server communication is connected with a communication monitoring module, an overall evaluation module, an overlap comparison module, an optimization analysis module and a database.

[0030] The communication monitoring module is used to monitor and analyze the communication status of the 5G communication platform: mark the network communication nodes of the 5G communication platform as monitoring objects, generate a monitoring cycle and divide the monitoring cycle into several monitoring periods, and obtain the throughput data TT, delay data YC and packet loss data DB of the monitoring object at the end of the monitoring period. The throughput data TT is the maximum value of the throughput of the monitoring object during data transmission in the monitoring period, the delay data YC is the maximum value of the network delay of the monitoring object during data transmission in the monitoring period, and the packet loss data is the maximum value of the packet loss rate of the monitoring object during data transmission in the monitoring period; the communication coefficient TX of the monitoring object in the monitoring period is obtained by the formula TX=b1×TT-b2×YC-b3×DB, where b1, b2 and b3 are all proportional coefficients, and b1> b2>b3>1; the communication threshold TXmin is obtained through the database, and the communication coefficient TX of the monitored object during the monitoring period is compared with the communication threshold TXmin: if the communication coefficient TX is less than the communication threshold TXmin, it is determined that the network communication status of the monitored object during the monitoring period does not meet the requirements, and the corresponding monitored object is marked as an abnormal object; if the communication coefficient TX is greater than or equal to the communication threshold TXmin, it is determined that the network communication status of the monitored object during the monitoring period meets the requirements, and the corresponding monitored object is marked as a normal object; the communication coefficient is obtained by comprehensive analysis and calculation based on multiple communication performance parameters of the network communication node, and feedback is given on the communication status of the network communication node according to the communication coefficient, and the network communication nodes are marked differentially to provide data support for the overall evaluation and analysis process.

[0031] The overall evaluation module is used to perform an overall evaluation and analysis on the 5G communication platform: the ratio of the number of abnormal objects in the monitoring period to the number of monitored objects is marked as the abnormal coefficient of the monitoring period, the abnormal threshold is obtained through the database, and the abnormal coefficient is compared with the abnormal threshold: if the abnormal coefficient is less than the abnormal threshold, it is determined that the overall state of the monitoring period meets the requirements, and the corresponding monitoring period is marked as a normal period; if the abnormal coefficient is greater than or equal to the abnormal threshold, it is determined that the overall state of the monitoring period does not meet the requirements, and the corresponding monitoring period is marked as an abnormal period; at the end of the monitoring period, the ratio of the number of normal periods to the number of monitoring periods is marked as the normal coefficient of the monitoring period, the normal threshold is obtained through the database, and the normal coefficient is compared with the normal threshold: if the normal coefficient is less than the normal threshold, it is determined that the overall evaluation result of the monitoring period is unqualified, and an overlap comparison signal is generated and sent to the overlap comparison module through the server; if the normal coefficient is greater than or equal to the normal threshold, it is determined that the overall evaluation result of the monitoring period is qualified; the overall communication state of the monitoring period is evaluated according to the marking result of the abnormal object, and then the necessity of maintenance of the 5G communication platform is judged by the normal coefficient at the end of the monitoring period, so as to automatically trigger the overlap comparison analysis when necessary.

[0032] The overlap comparison module is used to compare and analyze the overlap marks of the network communication nodes of the 5G communication platform: the abnormal objects in the abnormal period are marked as analysis objects, and the number of times the monitored objects are marked as analysis objects is marked as the overlap value of the monitored objects. The overlap values ​​of all monitored objects constitute an overlap set, and the variance of the overlap set is calculated to obtain the overlap coefficient. The overlap threshold is obtained through the database, and the overlap coefficient is compared with the overlap threshold: if the overlap coefficient is less than the overlap threshold, it is determined that the overlap mark comparison result of the 5G communication platform meets the requirements, and an optimization analysis signal is generated and sent to the optimization analysis module through the server. If the overlap coefficient is greater than or equal to the overlap threshold, it is determined that the overlap mark comparison result of the 5G communication platform does not meet the requirements, and the L1 monitoring objects with the largest overlap value are marked as fault processing objects, and a fault processing signal is generated and the fault processing signal and the fault processing object are sent to the administrator's mobile terminal through the server; the network communication nodes of the 5G communication platform are compared and analyzed for overlap marks, and the monitoring object marking results of all abnormal time periods are extracted and the overlap set is formed. The failure probability of a single network communication node is evaluated according to the discrete degree of the element values ​​in the overlap set, so that fault processing can be carried out quickly.

[0033] The optimization analysis module is used to optimize and analyze the network communication status of the 5G communication platform: obtain the flow value of the monitored object during the abnormal period, arrange all the monitored objects during the abnormal period in the order of the communication coefficient TX value from small to large to obtain a communication sequence, arrange all the monitored objects during the abnormal period in the order of the flow value value from large to small to obtain a flow sequence, mark the absolute value of the difference between the sequence number of the monitored object in the communication sequence and the sequence number in the flow sequence as the flow impact value of the monitored object, sum and average the flow impact values ​​of all monitored objects during the abnormal period to obtain the capacity optimization value of the abnormal period, sum and average the capacity optimization values ​​of all abnormal periods to obtain the capacity optimization coefficient, obtain the capacity optimization threshold through the database, and compare the capacity optimization coefficient with the capacity optimization threshold: if the capacity optimization coefficient is less than the capacity optimization threshold, generate a capacity optimization signal and send the capacity optimization signal to the administrator's mobile terminal through the server; if the capacity optimization coefficient is greater than or equal to the capacity optimization threshold, generate a base station maintenance signal and send the base station maintenance signal to the administrator's mobile terminal through the server; combine the comparison results of the flow sequence and the communication sequence to mark the optimization decision of the 5G communication platform to improve the optimization efficiency of the 5G communication platform.

[0034] Embodiment 2: Figure 2 As shown, the network operation and maintenance method based on 5G communication technology includes the following steps:

[0035] Step 1: Perform communication status monitoring and analysis on the 5G communication platform: mark the network communication nodes of the 5G communication platform as monitoring objects, generate a monitoring cycle and divide the monitoring cycle into several monitoring periods, obtain the throughput data TT, delay data YC and packet loss data DB of the monitoring object at the end of the monitoring period, and perform numerical calculations to obtain the communication coefficient TX. The monitoring object is marked as a normal object or an abnormal object according to the communication coefficient TX;

[0036] Step 2: Conduct an overall evaluation and analysis of the 5G communication platform: mark the ratio of the number of abnormal objects to the number of monitored objects in the monitoring period as the abnormal coefficient of the monitoring period, mark the monitoring period as a normal period or an abnormal period by the abnormal coefficient, and mark the ratio of the number of normal periods to the number of monitoring periods at the end of the monitoring period as the normal coefficient of the monitoring period, and determine whether the overall evaluation result of the monitoring period is qualified by the normal coefficient;

[0037] Step 3: Perform coincidence mark comparison analysis on the network communication nodes of the 5G communication platform: mark the abnormal objects in the abnormal period as analysis objects, calculate the number of times the monitored objects are marked as analysis objects to obtain the coincidence coefficient, and judge whether the coincidence mark comparison result meets the requirements through the coincidence coefficient;

[0038] Step 4: Optimize and analyze the network communication status of the 5G communication platform: obtain the capacity optimization coefficient of the monitoring period, and mark the optimization decision of the 5G communication platform through the capacity optimization coefficient.

[0039] The network operation and maintenance platform based on 5G communication technology, when working, marks the network communication nodes of the 5G communication platform as monitoring objects, generates a monitoring cycle and divides the monitoring cycle into several monitoring time periods, obtains the throughput data TT, delay data YC and packet loss data DB of the monitoring object at the end of the monitoring time period, and performs numerical calculation to obtain the communication coefficient TX, and marks the monitoring object as a normal object or an abnormal object through the communication coefficient TX; marks the ratio of the number of abnormal objects to the number of monitoring objects in the monitoring time period as the abnormal coefficient of the monitoring time period, marks the monitoring time period as a normal time period or an abnormal time period through the abnormal coefficient, marks the ratio of the number of normal time periods to the number of monitoring time periods as the normal coefficient of the monitoring cycle at the end of the monitoring cycle, and judges whether the overall evaluation result of the monitoring period is qualified through the normal coefficient; marks the abnormal objects in the abnormal time period as analysis objects, numerically calculates the number of times the monitoring objects are marked as analysis objects to obtain the overlap coefficient, and judges whether the overlap mark comparison result meets the requirements through the overlap coefficient; obtains the capacity optimization coefficient of the monitoring cycle, and marks the optimization decision of the 5G communication platform through the capacity optimization coefficient.

[0040] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

[0041] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula close to the real value. The coefficients in the formula are set by technicians in this field according to actual conditions; such as: formula TX = b1×TT-b2×YC-b3×DB; technicians in this field collect multiple groups of sample data and set corresponding communication coefficients for each group of sample data; substitute the set communication coefficients and the collected sample data into the formula, any three formulas constitute a three-variable linear equation group, screen the calculated coefficients and take the average, and obtain the values ​​of b1, b2 and b3 as 3.48, 2.62 and 2.15 respectively;

[0042] The size of the coefficient is to quantify each parameter to obtain a specific value for subsequent comparison. The size of the coefficient depends on the amount of sample data and the preliminary setting of the corresponding communication coefficient for each group of sample data by technical personnel in this field; as long as it does not affect the proportional relationship between the parameter and the quantized value, such as the communication coefficient is proportional to the value of the throughput data.

[0043] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0044] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A network operation and maintenance platform based on 5G communication technology, characterized by: It includes a server, wherein the server is communicatively connected with a communication monitoring module, an overall evaluation module, an overlap comparison module, an optimization analysis module and a database; The communication monitoring module is used to monitor and analyze the communication status of the 5G communication platform: mark the network communication nodes of the 5G communication platform as monitoring objects, generate a monitoring cycle and divide the monitoring cycle into several monitoring time periods, and obtain the throughput data TT, delay data YC and packet loss data DB of the monitoring object at the end of the monitoring time period; obtain the communication coefficient TX of the monitoring object in the monitoring time period by numerically calculating the throughput data TT, delay data YC and packet loss data DB; mark the monitoring object as a normal object or an abnormal object according to the communication coefficient TX; The overall evaluation module is used to perform an overall evaluation and analysis on the 5G communication platform: the ratio of the number of abnormal objects to the number of monitored objects in the monitoring period is marked as the abnormal coefficient of the monitoring period, the monitoring period is marked as a normal period or an abnormal period by the abnormal coefficient, and at the end of the monitoring period, the ratio of the number of normal periods to the number of monitoring periods is marked as the normal coefficient of the monitoring period, and whether the overall evaluation result of the monitoring period is qualified is determined by the normal coefficient; The overlap comparison module is used to perform overlap mark comparison analysis on the network communication nodes of the 5G communication platform: mark the abnormal objects in the abnormal period as analysis objects, mark the number of times the monitored objects are marked as analysis objects as the overlap value of the monitored objects, and form an overlap set by the overlap values ​​of all monitored objects. The overlap set is calculated by variance to obtain the overlap coefficient, and the overlap mark comparison result of the 5G communication platform is judged by the overlap coefficient whether it meets the requirements; The optimization analysis module is used to optimize and analyze the network communication status of the 5G communication platform.

2. The network operation and maintenance platform based on 5G communication technology according to claim 1, characterized in that: The throughput data TT is the maximum throughput of the monitored object during data transmission in the monitoring period, the delay data YC is the maximum network delay of the monitored object during data transmission in the monitoring period, and the packet loss data is the maximum packet loss rate of the monitored object during data transmission in the monitoring period.

3. The network operation and maintenance platform based on 5G communication technology according to claim 2 is characterized in that: The specific process of marking a monitored object as a normal object or an abnormal object includes: obtaining the communication threshold TXmin through the database, and comparing the communication coefficient TX of the monitored object during the monitoring period with the communication threshold TXmin: if the communication coefficient TX is less than the communication threshold TXmin, it is determined that the network communication status of the monitored object during the monitoring period does not meet the requirements, and the corresponding monitored object is marked as an abnormal object; if the communication coefficient TX is greater than or equal to the communication threshold TXmin, it is determined that the network communication status of the monitored object during the monitoring period meets the requirements, and the corresponding monitored object is marked as a normal object.

4. The network operation and maintenance platform based on 5G communication technology according to claim 3 is characterized in that: The specific process of marking a monitoring period as a normal period or an abnormal period includes: obtaining the abnormal threshold through the database, and comparing the abnormal coefficient with the abnormal threshold: if the abnormal coefficient is less than the abnormal threshold, it is determined that the overall state of the monitoring period meets the requirements, and the corresponding monitoring period is marked as a normal period; if the abnormal coefficient is greater than or equal to the abnormal threshold, it is determined that the overall state of the monitoring period does not meet the requirements, and the corresponding monitoring period is marked as an abnormal period.

5. The network operation and maintenance platform based on 5G communication technology according to claim 4 is characterized in that: The specific process of determining whether the overall evaluation result of the monitoring period is qualified includes: obtaining the normal threshold through the database, and comparing the normal coefficient with the normal threshold: if the normal coefficient is less than the normal threshold, the overall evaluation result of the monitoring period is determined to be unqualified, and an overlap comparison signal is generated and sent to the overlap comparison module through the server; if the normal coefficient is greater than or equal to the normal threshold, the overall evaluation result of the monitoring period is determined to be qualified.

6. The network operation and maintenance platform based on 5G communication technology according to claim 5, characterized in that: The specific process of determining whether the overlap mark comparison result of the 5G communication platform meets the requirements includes: obtaining the overlap threshold through the database, and comparing the overlap coefficient with the overlap threshold: if the overlap coefficient is less than the overlap threshold, then the overlap mark comparison result of the 5G communication platform is determined to meet the requirements, an optimization analysis signal is generated, and the optimization analysis signal is sent to the optimization analysis module through the server; if the overlap coefficient is greater than or equal to the overlap threshold, then the overlap mark comparison result of the 5G communication platform is determined to not meet the requirements, and the L1 monitoring objects with the largest overlap value are marked as fault processing objects, a fault processing signal is generated, and the fault processing signal and the fault processing object are sent to the administrator's mobile terminal through the server.

7. The network operation and maintenance platform based on 5G communication technology according to claim 6, characterized in that: The specific process of the optimization analysis module optimizing and analyzing the network communication status of the 5G communication platform includes: obtaining the traffic value of the monitored object during the abnormal period, arranging all the monitored objects during the abnormal period in order of the communication coefficient TX value from small to large to obtain a communication sequence, arranging all the monitored objects during the abnormal period in order of the traffic value value from large to small to obtain a traffic sequence, comparing the communication sequence with the traffic sequence to obtain the capacity optimization coefficient, obtaining the capacity optimization threshold through the database, and comparing the capacity optimization coefficient with the capacity optimization threshold: if the capacity optimization coefficient is less than the capacity optimization threshold, a capacity optimization signal is generated and the capacity optimization signal is sent to the administrator's mobile terminal through the server; if the capacity optimization coefficient is greater than or equal to the capacity optimization threshold, a base station maintenance signal is generated and the base station maintenance signal is sent to the administrator's mobile terminal through the server.

8. The network operation and maintenance platform based on 5G communication technology according to claim 7, characterized in that: The process of obtaining the capacity optimization coefficient includes: marking the absolute value of the difference between the sequence number of the monitored object in the communication sequence and the sequence number in the traffic sequence as the traffic impact value of the monitored object, summing and averaging the traffic impact values ​​of all monitored objects in the abnormal period to obtain the capacity optimization value of the abnormal period, and summing and averaging the capacity optimization values ​​of all abnormal periods to obtain the capacity optimization coefficient.

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