Communication resource data management system

Abstract

The invention discloses a communication resource data management system, which belongs to the technical field of communication resource data management, and comprises a resource display module, a resource analysis module and an optimization management module, the resource display module is used for performing visualization processing on the communication resource data to obtain a communication data graph; the resource analysis module is used for performing resource analysis according to the communication resource data, determining resource analysis points and acquiring resource analysis data corresponding to each resource analysis point; determining a performance utilization rate and an abnormal monitoring result of the resource analysis point according to the resource analysis data, and marking the performance utilization rate and the abnormal monitoring result of the resource analysis point in the communication data graph; the optimization management module is used for carrying out optimization management on the resource analysis points and generating an efficiency equivalent diagram according to the performance utilization rate of each resource analysis point; determining resource optimization points according to the efficiency equivalent diagram, and marking the resource optimization points in the efficiency equivalent diagram and the communication resource diagram; and the user performs optimization management simulation according to the efficiency equivalent diagram.

Description

Technical Field

[0001] The present invention belongs to the technical field of communication resource data management, and specifically relates to a communication resource data management system. Background Art

[0002] With the rapid development of communication technologies, communication networks have become increasingly complex, including a large number of devices, lines, and connection relationships. Traditional communication resource management methods often use paper drawings or spreadsheets to record and manage this information, but this method has many deficiencies, such as untimely information updates, difficult queries, and inability to intuitively display resource distribution.

[0003] To solve the above problems, the communication industry has begun to explore the use of digital means to manage communication resources. However, existing communication resource management systems often only focus on a single type of resource, such as devices or lines, lacking comprehensive management. In addition, these systems also have certain limitations in resource query, analysis, and warning, and cannot meet the comprehensive requirements of communication operators for resource management.

[0004] Therefore, it is necessary to develop a new type of communication resource data management system to achieve comprehensive, efficient, and intuitive management of communication network resources. Summary of the Invention

[0005] To solve the problems existing in the above solutions, the present invention provides a communication resource data management system.

[0006] The object of the present invention can be achieved through the following technical solutions:

[0007] A communication resource data management system includes a resource display module, a resource analysis module, and an optimization management module;

[0008] The resource display module is used to perform visualization processing on communication resource data to obtain a communication data graph, and the communication data graph is used to display the resource point attributes, geographical locations, and association features between corresponding resource points of each resource point; and display the communication data graph to the user.

[0009] Further, the visualization processing of communication resource data includes:

[0010] Real-time obtain the communication resource data of the user, and identify the corresponding resource points, resource point attributes, geographical locations, and association features between resource points according to the communication resource data;

[0011] Generate a communication data graph according to the identified resource points, resource point attributes, geographical locations, and association features between resource points; and update the communication data graph according to the update of the communication resource data.

[0012] The resource analysis module is used to perform resource analysis based on communication resource data, determine resource analysis points, classify the communication resource data according to the resource analysis points, and obtain resource analysis data corresponding to each resource analysis point; determine the performance utilization rate and anomaly monitoring results of the resource analysis points in real time according to the resource analysis data, and mark the performance utilization rate and anomaly monitoring results of the resource analysis points in the communication data graph in real time.

[0013] Further, mark the resource points in the communication data graph as resource analysis points.

[0014] Further, the determination of resource analysis points includes:

[0015] Obtain the resource analysis requirements of the user, identify the resource points in the communication data graph, perform feature recognition on the resource points according to the resource analysis requirements, and obtain the resource analysis features of each resource point;

[0016] Check the resource analysis features of the resource points according to the resource analysis requirements to obtain the resource check results of the resource points;

[0017] When the resource check result meets the requirements for setting resource analysis points, mark the resource point as a resource analysis point;

[0018] When the resource check result does not meet the requirements for setting resource analysis points, no corresponding processing is performed.

[0019] Further, checking the resource analysis features of resource points according to resource analysis requirements includes:

[0020] Establish a resource check model, and the expression of the resource check model is:

[0021]

[0022] In the formula: TA is the resource analysis feature of the corresponding resource point; the output data is the resource check value XP(TA), and the resource check value is 1 or 0;

[0023] Check the resource analysis features of the resource points through the resource check model to obtain the resource check values of the resource points;

[0024] Determine the resource check results of the resource points according to the resource check values.

[0025] Further, determining the anomaly monitoring results of resource analysis points in real time according to resource analysis data includes:

[0026] Obtain the historical resource analysis data of each resource analysis point, perform anomaly marking on the historical resource analysis data; integrate the anomalously marked historical resource data into anomaly training data; establish an anomaly recognition model according to the anomaly training data;

[0027] The resource analysis data of the corresponding resource analysis point is analyzed by the anomaly recognition model to obtain the anomaly monitoring result of the resource analysis point.

[0028] Furthermore, the expression of the anomaly recognition model is:

[0029]

[0030] In the formula: SA is the resource analysis data; the output data is the anomaly recognition value YQ(SA), and the anomaly recognition value is 1 or 0;

[0031] The resource analysis data of the corresponding resource analysis point is analyzed according to the anomaly recognition model to obtain the anomaly recognition value of the resource analysis point, and the anomaly monitoring result of the resource analysis point is determined according to the anomaly recognition value.

[0032] The optimization management module is used to optimize and manage the resource analysis points, generate an efficiency equivalent graph according to the performance utilization rate of each resource analysis point, and display the efficiency equivalent graph to the user; determine the resource optimization points according to the efficiency equivalent graph, and mark the resource optimization points in the efficiency equivalent graph and the communication resource graph; the user performs optimization management simulation according to the efficiency equivalent graph.

[0033] Furthermore, generating an efficiency equivalent graph according to the performance utilization rate of each resource analysis point includes:

[0034] Identifying the association characteristics between each resource analysis point according to the communication data graph, and generating a linear connection graph according to the association characteristics between each resource analysis point;

[0035] Performing performance simulation on the line connection graph, determining the reference resource points, setting the unit width for the basic resource points; determining the equivalent width of each resource analysis point according to the unit width of the basic resource points; adjusting the line connection graph according to the equivalent width of each resource analysis point to obtain the basic equivalent graph;

[0036] Making corresponding marks in the basic equivalent graph according to the performance utilization rate of each resource analysis point, and marking the current basic equivalent graph as the efficiency equivalent graph.

[0037] Furthermore, performing performance simulation on the line connection graph includes:

[0038] Step SA1: Select any resource analysis point in the line connection graph as the initial point and set the unit performance value;

[0039] Step SA2: Perform step-by-step increase simulation on the initial point according to the unit performance value, and determine the required performance utilization rate corresponding to each resource analysis point after each simulation run;

[0040] Step SA3: Determine whether the performance utilization rate of each resource analysis point reaches the threshold X1;

[0041] When the performance utilization rate of a resource analysis point reaches the threshold X1, mark the corresponding resource analysis point as a basic resource point;

[0042] When the performance utilization rate of no resource analysis point reaches the threshold X1, return to step SA2.

[0043] Furthermore, perform step-by-step increase simulation on the initial point according to the unit performance value, including:

[0044] Start from the threshold X2 for the initial point, and increase one unit performance value each time the simulation runs.

[0045] Furthermore, determine the resource optimization point according to the efficiency equivalent diagram, including:

[0046] Simulate the ineffective utilization rate of the remaining resource analysis points when each resource analysis point reaches the maximum performance utilization rate;

[0047] Calculate the optimization evaluation value of each resource analysis point according to the optimization evaluation formula. The optimization evaluation formula is:

[0048]

[0049] In the formula: YU is the optimization evaluation value; δ i is the weight coefficient of the corresponding remaining resource analysis point; i = 1, 2,..., n, where n is the number of remaining resource analysis points; WL i is the ineffective utilization rate of the corresponding remaining resource analysis point;

[0050] Determine the resource optimization point according to the optimization evaluation value.

[0051] Compared with the prior art, the beneficial effects of the present invention are:

[0052] Through the mutual cooperation among the resource display module, the resource analysis module, and the optimization management module, a powerful resource management and analysis tool is provided for users, which helps users better understand the usage situation of network resources and business requirements; through integrated management, various types of communication resources such as devices, lines, and connection relationships are incorporated into the unified management scope, significantly improving the resource management efficiency; the provided visual display function enables managers to intuitively and quickly understand the distribution and usage situation of resources, so as to make more accurate decisions. Description of the Drawings

[0053] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the accompanying drawings required for the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0054] Figure 1 This is the principle block diagram of the present invention. Specific embodiments

[0055] The following will clearly and completely describe the technical solutions of the present invention in conjunction with the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0056] As Figure 1 shown, a communication resource data management system includes a resource display module, a resource analysis module, and an optimization management module;

[0057] The resource display module is used to visually process communication resource data, real-time obtain the user's communication resource data, such as relevant data of area information, site information, building information, computer room information, etc.; identify corresponding resource points and the association characteristics between resource points according to the communication resource data. The resource points are relevant entities such as devices, buildings, computer rooms, sites, etc. of the communication resource data; the association characteristics refer to the connection, communication, etc. relationships between the corresponding resources, such as the relationships between devices, the relationships between ports, the relationships between ports and terminals, the terminal jump connection relationships, the relationships between the connection device terminals and the cable cores, the relationships between logical network elements and physical ports, etc.; generate a communication data graph according to each resource point and the association characteristics between resource points; the communication data graph is displayed in an electronic map and a graphical interface. Users can intuitively view the geographical location, usage status, device status, mutual relationships, etc. of the resource points, and integrate and mark the device status, usage status, etc. of the resource points as resource point attributes, that is, the communication data graph is used to display the resource point attributes, geographical locations of each resource point, and the association characteristics between the corresponding resource points; it also supports custom layers and annotation functions to meet the needs of different users.

[0058] In one embodiment, a communication data graph is generated according to each resource point and the association characteristics between resource points. Generally, the communication data graph is set in combination with GIS technology. GIS is a geographic information system; it is also possible to generate the communication data graph based on other existing methods.

[0059] The resource analysis module is used to perform resource analysis based on communication resource data, determine resource analysis points, classify the communication resource data according to the resource analysis points, obtain the communication resource data corresponding to each resource analysis point, and mark it as resource analysis data; determine the performance utilization rate and anomaly monitoring results of the resource analysis points in real time according to the resource analysis data, such as the transmission performance utilization rate of transmission equipment, calculate the transmission performance utilization rate by comparing its actual transmission data volume with the transmission data volume corresponding to the maximum performance; the performance utilization rate can be calculated according to its actual working conditions in various ways; mark and display the obtained performance utilization rate and anomaly monitoring results in the communication data graph in real time.

[0060] In one embodiment, the resource points in the communication data graph are marked as resource analysis points.

[0061] In one embodiment, the determination of the resource analysis points includes:

[0062] Obtain the resource analysis requirements of the user, that is, which resource points the user expects to perform resource analysis on or which resource points not to perform resource analysis on, and determine according to the actual needs of the user;

[0063] Identify the resource points in the communication data graph, perform feature recognition on the resource points according to the resource analysis requirements, obtain the resource analysis features of each resource point, that is, determine which features need to be collected according to the resource analysis requirements, and then perform feature collection to obtain the resource analysis features; check the resource analysis features of the corresponding resource points according to the resource analysis requirements to obtain the resource check results of the corresponding resource points;

[0064] When the resource check result meets the resource analysis point setting requirements, mark the corresponding resource points as resource analysis points;

[0065] When the resource check result does not meet the resource analysis point setting requirements, no corresponding processing is performed.

[0066] In one embodiment, checking the resource analysis features of the corresponding resource points according to the resource analysis requirements includes:

[0067] Establish a resource check model, and the expression of the resource check model is:

[0068]

[0069] In the formula: TA is the input data, that is, the resource analysis features of the corresponding resource points; the output data is the resource check value XP(TA), and the resource check value is 1 or 0; form a training set through the corresponding historical data for training to realize the analysis and judgment of the resource check model;

[0070] Check the resource analysis features of the corresponding resource points through the resource check model to obtain the resource check values of the corresponding resource points;

[0071] Determine the resource verification result according to the resource verification value; if the resource analysis requirement is the requirement that the resource analysis point needs to meet, then the resource verification result with a resource verification value of 1 is to meet the resource analysis point setting requirement; if the resource analysis requirement is that it cannot be used as a resource analysis point when corresponding conditions are met, then the resource verification result with a resource verification value of 0 is to meet the resource analysis point setting requirement; and so on.

[0072] In one embodiment, the abnormal monitoring result of the resource analysis point is determined in real time according to the resource analysis data, and the existing abnormal monitoring method can be used to analyze the resource analysis data to determine whether the resource analysis point is abnormal.

[0073] In one embodiment, determining the abnormal monitoring result of the resource analysis point in real time according to the resource analysis data includes:

[0074] Obtain the historical resource analysis data of each resource analysis point, and perform abnormal marking on the historical resource analysis data, that is, mark the corresponding abnormal label or normal label on the historical resource analysis data according to the actual abnormal result; integrate the abnormally marked historical resource data into abnormal training data; establish an abnormal recognition model according to the abnormal training data; analyze the resource analysis data of the corresponding resource analysis point through the abnormal recognition model to obtain the abnormal monitoring result of the corresponding resource analysis point.

[0075] In one embodiment, the abnormal recognition model can be established based on a CNN network or a DNN network, etc., and is trained, verified, and optimized using the abnormal training data.

[0076] In one embodiment, the expression of the abnormal recognition model is:

[0077]

[0078] In the formula: SA is the input data, that is, the resource analysis data; the output data is the abnormal recognition value YQ(SA), and the abnormal recognition value is 1 or 0;

[0079] Analyze the resource analysis data of the corresponding resource analysis point according to the abnormal recognition model to obtain the corresponding abnormal recognition value, and determine the abnormal monitoring result according to the abnormal recognition value.

[0080] The optimization management module is used to perform optimization management on the resource analysis points, generate an efficiency equivalent diagram according to the performance utilization rate of each resource analysis point, display the efficiency equivalent diagram to the user, determine the resource optimization points according to the efficiency equivalent diagram, and mark the resource optimization points in the efficiency equivalent diagram and the communication resource diagram; the user performs optimization management simulation according to the efficiency equivalent diagram.

[0081] In one embodiment, an efficiency equivalent graph is generated according to the performance utilization rate of each resource analysis point, including:

[0082] Identify the association characteristics between each resource analysis point according to the communication data graph, and generate a linear connection graph according to the association characteristics between each resource analysis point, that is, connect each resource analysis point according to the corresponding connection relationship of the association characteristics with lines for subsequent conversion from lines to pipes according to the performance situation; because the linear connection graph is basically unchanged after being set in the system construction stage, or is adjusted accordingly after subsequent changes in equipment, etc., in order to improve the accuracy and intuitiveness of the linear connection graph, it is generally set by the platform staff, or an initial graph is intelligently generated according to the requirements of the preset linear connection graph and then adjusted manually; that is, specifically, the linear connection graph can be set in a variety of ways.

[0083] Perform performance simulation on the line connection graph, determine the reference resource point, set the unit width for the basic resource point, that is, the pipe width, image width, etc. corresponding to the basic resource point, and mark the unit width of the basic resource point as the equivalent width of the resource analysis point; according to the performance utilization rate of other resource analysis points when the performance utilization rate of the basic resource point reaches the threshold X1, determine the proportional relationship between the equivalent width of other resource analysis points and the unit width. For example, when the threshold X1 is 100%, when the basic resource point reaches 100%, the performance utilization rate of a certain resource analysis point is 50%, then the equivalent width is the unit width multiplied by 2; adjust the line connection graph according to the equivalent width of each resource analysis point, that is, convert it into a graph in the form of pipes, etc. with an intuitive width; mark the current line connection graph as the basic equivalent graph.

[0084] Make corresponding marks in the basic equivalent graph according to the performance utilization rate of each resource analysis point, that is, mark the usage conditions of the corresponding pipes, etc. Mark the current basic equivalent graph as the efficiency equivalent graph.

[0085] In one embodiment, performing performance simulation on the line connection graph includes:

[0086] Step SA1: Select any resource analysis point as the initial point and set the unit performance value. Generally, set 1% of the performance utilization rate as the unit performance value, which can also be adjusted as needed;

[0087] Step SA2: Gradually increase the simulation of the initial point according to the unit performance value. After each simulation run, determine the required performance utilization rate for each resource analysis point according to the corresponding historical data, including the performance utilization rate of the initial point, and the performance utilization rate of the initial point is determined according to the number of unit performance values used;

[0088] Step SA3: Determine whether the performance utilization rate of each resource analysis point reaches the threshold X1, which is generally 100%, and can also be adjusted according to the usage requirements of the resource point;

[0089] When the performance utilization rate of the resource analysis point reaches the threshold X1, mark the corresponding resource analysis point as the basic resource point;

[0090] When the performance utilization rate of no resource analysis point reaches the threshold X1, return to Step SA2.

[0091] In one embodiment, the initial point is simulated by gradually increasing according to the unit performance value. The initial point starts from 0, and each time the simulation is run, the unit performance value is increased by one.

[0092] In one embodiment, the initial point is simulated by gradually increasing according to the unit performance value. The initial point starts from the threshold X2, and each time the simulation is run, the unit performance value is increased by one. That is, in order to improve efficiency, it does not start from 0. According to the actual performance utilization differences between each resource point, the threshold X2 can be set at a performance utilization rate between 50% and 60%. Specifically, the threshold X2 is set according to the actual situation.

[0093] In one embodiment, an efficiency equivalent graph can also be generated based on the existing method; for example, an intelligent graph model is established based on neural networks such as CNN networks or DNN networks, and a corresponding training set is established and trained manually. The training set includes input data and output data. The input data is a communication data graph, and the output data is an efficiency equivalent graph; analysis is performed through the intelligent graph model after successful training.

[0094] In one embodiment, the resource optimization points are determined according to the efficiency equivalent graph, that is, the resource analysis points that affect the performance of each resource analysis point are marked as resource optimization points; for example, when each resource analysis point reaches the maximum performance utilization rate, the ineffective utilization rate is determined. For example, due to the association relationship, only 80% of the performance utilization rate can be achieved, and the other has reached 100%. If the performance utilization rate is further increased, it will result in ineffective utilization; the maximum performance utilization rate of this resource analysis point can be directly simulated, the performance utilization rates of other resource analysis points are analyzed, and the difference between other resource analysis points and the maximum performance utilization rate is calculated and marked as the ineffective utilization rate; the total ineffective utilization rate is calculated according to the weight coefficients of each resource analysis point, and then it is determined whether optimization and adjustment are required.

[0095] Exemplarily, when each resource analysis point reaches the maximum performance utilization rate, the ineffective utilization rate of the remaining resource analysis points is simulated;

[0096] Calculate the optimization evaluation value of each resource analysis point according to the optimization evaluation formula. The optimization evaluation formula is:

[0097]

[0098] In the formula: YU is the optimized evaluation value; δ i is the weight coefficient of the corresponding remaining resource analysis point, which is set according to user requirements. If not set, it is defaulted to 1 for all; i = 1, 2,..., n, where n is the number of remaining resource analysis points; WL i is the ineffective utilization rate of the corresponding remaining resource analysis point;

[0099] Determine the resource optimization points according to the optimized evaluation value, that is, the resource analysis points where the optimized evaluation value is greater than the preset value.

[0100] In one embodiment, the user performs an optimization management simulation according to the efficiency equivalence diagram. The user can simulate the information of the resource analysis points to be replaced, and then analyze the optimized evaluation value. At the same time, a simulation diagram can be generated according to the generation method of the efficiency equivalence diagram, which is convenient for intuitive display to the user.

[0101] The above formulas are all calculated by removing the dimension and taking the numerical value. The formula is obtained by collecting a large amount of data for software simulation to get a formula closest to the actual situation. The preset parameters and preset thresholds in the formula are set by those skilled in the art according to the actual situation or obtained by simulating a large amount of data.

[0102] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A communication resource data management system, characterized in that: Including resource display module, resource analysis module and optimization management module; The resource display module is used to perform visualization processing on the communication resource data to obtain a communication data graph, which is used to display the resource point attributes, geographical locations of each resource point and the correlation characteristics between the corresponding resource points; and display the communication data graph to the user; The resource analysis module is used to perform resource analysis based on the communication resource data, determine the resource analysis points, classify the communication resource data according to the resource analysis points, and obtain the resource analysis data corresponding to each resource analysis point; Determine the performance utilization and abnormal monitoring results of the resource analysis point in real time based on the resource analysis data, and mark the performance utilization and abnormal monitoring results of the resource analysis point in real time in the communication data graph; The optimization management module is used to optimize the resource analysis points, generate an efficiency equivalent graph according to the performance utilization of each resource analysis point, and display the efficiency equivalent graph to the user; determine the resource optimization point according to the efficiency equivalent graph, and mark the resource optimization point in the efficiency equivalent graph and the communication resource graph; Users conduct optimization management simulation based on the efficiency equivalence diagram.

2. A communication resource data management system according to claim 1, characterized in that: Visualize communication resource data, including: Acquire the user's communication resource data in real time, and identify the corresponding resource points, resource point attributes, geographic locations, and correlation features between resource points based on the communication resource data; A communication data graph is generated according to the identified resource points, resource point attributes, geographical locations, and association characteristics between resource points; and the communication data graph is updated according to the update of the communication resource data.

3. A communication resource data management system according to claim 1, characterized in that: The resource points in the communication data graph are marked as resource analysis points.

4. A communication resource data management system according to claim 1, characterized in that: Determination of resource analysis points, including: Obtaining a user's resource analysis requirement, identifying resource points in the communication data graph, performing feature identification on the resource points according to the resource analysis requirement, and obtaining resource analysis features of each resource point; Verify the resource analysis characteristics of the resource point according to the resource analysis requirements to obtain a resource verification result of the resource point; When the resource verification result satisfies the resource analysis point setting requirements, the resource point is marked as a resource analysis point; When the resource verification result does not meet the resource analysis point setting requirements, no corresponding processing is performed.

5. A communication resource data management system according to claim 4, characterized in that: Verify the resource analysis characteristics of resource points according to resource analysis requirements, including: A resource verification model is established. The expression of the resource verification model is: Where: TA is the resource analysis feature of the corresponding resource point; the output data is the resource verification value XP(TA), and the resource verification value is 1 or 0; Verifying the resource analysis characteristics of the resource point through a resource verification model to obtain a resource verification value of the resource point; A resource verification result of the resource point is determined according to the resource verification value.

6. A communication resource data management system according to claim 1, characterized in that: Determine abnormal monitoring results of resource analysis points in real time based on resource analysis data, including: Obtain historical resource analysis data from each resource analysis point, and mark the historical resource analysis data as abnormal; integrate the anomaly-marked historical resource data into abnormal training data; and establish an anomaly recognition model based on the abnormal training data; The resource analysis data of the corresponding resource analysis point is analyzed by the anomaly recognition model to obtain the anomaly monitoring result of the resource analysis point.

7. A communication resource data management system according to claim 6, characterized in that: The expression of the anomaly recognition model is: Where: SA is the resource analysis data; the output data is the abnormal identification value YQ(SA), and the abnormal identification value is 1 or 0; The resource analysis data of the corresponding resource analysis point is analyzed according to the abnormal identification model to obtain the abnormal identification value of the resource analysis point, and the abnormal monitoring result of the resource analysis point is determined according to the abnormal identification value.

8. A communication resource data management system according to claim 1, characterized in that: Generate an efficiency equivalent graph based on the performance utilization of each resource analysis point, including: Identify the correlation features between various resource analysis points according to the communication data graph, and generate a linear connection graph according to the correlation features between various resource analysis points; Perform performance simulation on the line connection diagram, determine the benchmark resource points, and set the unit width of the basic resource points; determine the equivalent width of each resource analysis point based on the unit width of the basic resource points; adjust the line connection diagram based on the equivalent width of each resource analysis point to obtain a basic equivalent diagram; According to the performance utilization rate of each resource analysis point, a corresponding mark is made in the basic equivalent graph, and the current basic equivalent graph is marked as an efficiency equivalent graph.

9. A communication resource data management system according to claim 8, characterized in that: Perform performance simulation on line connection diagrams, including: Step SA1: Select any resource analysis point in the line connection diagram as the initial point and set the unit performance value; Step SA2: Simulate the initial point step by step according to the unit performance value, and determine the required performance utilization rate corresponding to each resource analysis point after each simulation run; Step SA3: Determine whether the performance utilization of each resource analysis point reaches the threshold value X1; When the performance utilization of a resource analysis point reaches a threshold value X1, the corresponding resource analysis point is marked as a basic resource point; When the performance utilization of no resource analysis point reaches the threshold value X1, the process returns to step SA2.

10. A communication resource data management system according to claim 1, characterized in that: Determine resource optimization points based on the efficiency equivalent diagram, including: Simulate the ineffective utilization of the remaining resource analysis points when each resource analysis point reaches the maximum performance utilization; The optimization evaluation value of each resource analysis point is calculated according to the optimization evaluation formula. The optimization evaluation formula is: Where: YU is the optimized evaluation value; δ i is the weight coefficient of the corresponding remaining resource analysis points; i = 1, 2, ..., n, n is the number of remaining resource analysis points; WL i Analyze the ineffective utilization of points for the corresponding remaining resources; Determine resource optimization points based on optimization evaluation values.

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