A data transmission management system and method for base station communication

Abstract

The present invention discloses a data transmission management system and method applied to base station communication, which belongs to the field of data supervision technology. The present invention uses signal detection equipment to survey the signal distribution of the target detection area, and generates a signal distribution map of the target area based on the survey results and the base station coverage of the target area; a regional three-dimensional space signal simulation model is constructed by mapping the signal distribution map of the target area, and the historical periodic signal data transmission records of each point are retrieved by obtaining the segmented signal area where the three-dimensional cloud point map of each point in the space is located; the historical periodic signal data of each point is imported into the simulation model, and the signal transmission change state of the corresponding target area in the historical period is analyzed, and the corresponding signal prediction analysis model is constructed, and the operating state of the base station is dynamically analyzed according to the model analysis; the signal analysis data of the base station coverage area and the base station prediction analysis results are transmitted to the monitoring end in real time, and the data log of the target area and the base station is stored.

Description

Technical Field

[0001] The present invention relates to the technical field of data supervision, and in particular to a data transmission management system and method applied to base station communication. Background Art

[0002] Base station communication data transmission management is a key link to ensure the efficient operation of mobile networks. It involves the real-time collection, secure storage, effective processing and in-depth analysis of a large amount of user communication, performance indicators and hardware status data generated by base stations. Good data management helps fault prediction, resource allocation and long-term network planning, which is the basis for realizing network automation and intelligence.

[0003] The current development of the Internet has led to the emergence of an endless stream of smart devices. The real-time data interaction generated by the emergence of a large number of smart mobile devices is huge. Therefore, along with the update of mobile devices and functions, the corresponding mobile communication technology is also iterating and innovating, and the corresponding mobile communication base stations are also constantly updated; however, with the intelligence and popularization of mobile terminals, people's demand for data interaction is increasing, which places more and more stringent requirements on mobile communication networks. While ensuring throughput and maintaining low latency and high coverage, it is necessary to perform precise data supervision while upgrading the hardware of the base station; however, in the current environment, it is often impossible to effectively supervise and predict the base station signal data in the coverage area of ​​the base station, which will cause the base station status to be overloaded and abnormally idle, which will cause high latency or abnormal signal data loss on the mobile terminals in the area. Summary of the invention

[0004] The object of the present invention is to provide a data transmission management system and method applied to base station communication to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0006] A data transmission management method applied to base station communication, the method comprising the following steps:

[0007] S100, using a signal detection device to survey the signal distribution of a target detection area, and generating a signal distribution map of the target area based on the survey results and the base station coverage of the target area;

[0008] S200, constructing a regional three-dimensional spatial signal simulation model by mapping a target area signal distribution map, and retrieving historical periodic signal data transmission records of each point by obtaining a segmented signal area where a three-dimensional cloud point map of each point in the space is located;

[0009] S300, by importing the historical period signal data of each point into the simulation model, analyzing the signal transmission change state of the corresponding target area in the historical period, building a corresponding signal prediction analysis model, and dynamically analyzing the operating state of the base station according to the model analysis;

[0010] S400: Transmit the base station coverage area signal analysis data and base station prediction analysis results to the base station monitoring terminal in real time, and store data logs for the target area and base station.

[0011] The specific steps of using the signal detection equipment to survey the signal distribution of the target detection area and combining the survey results with the base station coverage of the target area to generate a signal distribution map of the target area are as follows:

[0012] S101, by arranging front-end signal monitoring equipment in the target survey area or by manual survey, the signal data of each point in the area is detected and collected; wherein the signal monitoring equipment is a signal detector or a spectrum analyzer; the detected signal data includes signal strength, data throughput, signal quality and data delay; the collected data is transmitted to the back-end display and control terminal through the local area network to demonstrate the signal distribution of the target area;

[0013] S102. Annotate the real-time dynamic signal data of each point in the target area according to the demonstration results. Combine the base station coverage of the target area with the static time frame interception to obtain the static instantaneous signal data diagram in the target area at each time point. Obtain the dynamic area signal distribution diagram within the period by intercepting different time frames.

[0014] The specific steps of constructing a regional three-dimensional spatial signal simulation model by mapping the target area signal distribution map and retrieving the historical periodic signal data transmission record of each point by obtaining the segmented signal area where the three-dimensional cloud point map of each point in the space is located are as follows:

[0015] S201, digitally reconstructing the target area using a three-dimensional simulation space, constructing a mapped digital space model of the real target area, performing feature analysis on the dynamic area signal distribution map, extracting data of each point in the distribution map for simulation space mapping filling, annotating abnormal areas and fusing regular areas of the simulation space according to the data filling results, and completing signal area segmentation processing of the simulation space; the abnormal area is a normally unmanned area in the base station coverage area, and the regular area is an area where people are active;

[0016] S202. Construct a real space area for the simulation space after segmented signal processing. By comparing the coordinates of each point in the simulation space, record and capture the historical periodic signal data transmission of the real space mapping coordinate points, associate the captured data with the period to construct the periodic evolution data, coordinate the periodic evolution data of each point in the target area, and construct a regional evolution data set.

[0017] The S300 imports the historical period signal data of each point into the simulation model, analyzes the signal transmission change state of the corresponding target area in the historical period, and constructs a corresponding signal prediction analysis model. The specific steps of dynamically analyzing the operating state of the base station according to the model analysis are as follows:

[0018] S301, input the regional evolution data set into the simulation space model with the timeline as the evolution axis, and conduct a comprehensive analysis of the periodic evolution data through the simulation space model; analyze the influence of environmental signal attenuation at each point within the coverage range of the target area, and the calculation formula is: Where δ(x, y, z) is the signal attenuation influence of each point in the simulated space mapped to the real space; RSS f (x, y, z) is the signal strength value of each point in the real space obtained by actual survey; RSS v ( x, y, z) is the theoretical signal strength value of each point in the simulated space mapped to the real space; Trap (bs) is the base station transmission power covered by the signal at each point; Trag (bS) is the base station transmission antenna gain covered by the signal at each point; Reag (mob) is the average receiving antenna gain of the mobile terminal at each point; LOSS (mob) is the path loss between each point in the simulated space mapped to the real space and the base station; Sf is the signal frequency of the mobile terminal corresponding to each point in the simulated space mapped to the real space; LD is the distance between each point in the simulated space mapped to the real space and the base station; c is the speed of light;

[0019] S302, analyzing the periodic signal changes in the target area in combination with the attenuation analysis results of the environmental signal; analyzing the degree of change in the load signal transmission capacity of the base station within the periodic time, and the calculation formula is: Where CsC is the residual value of the load signal transmission capacity attenuation of the base station within the period; [δ n→δ(x,y,z)] is the user position that interacts with the base station for signal data within the period within the coverage area of ​​the base station; n is the number of users; u is a constant; T is a period window; C is the base station signal data transmission capacity; m is the number of base station signaling transmissions within the period; p is the single signaling capacity; in the above formula, the comprehensive signal attenuation influence degree within the periodic time of the corresponding coverage area is calculated by combining the signal attenuation influence value of the user's position in the area and the number of users in the base station coverage area, and then the residual ratio of the base station signal transmission capacity within the periodic time is calculated to facilitate the judgment of the state of the base station; the capacity of the base station is calculated by introducing signal attenuation because when the signal attenuation exists in the coverage area, the base station needs to connect with the mobile terminal through more connection requests, which will cause the attenuation of available capacity; according to the attenuation change degree analysis result of the periodic base station load signal capacity, the analysis results of i periodic windows are obtained by translating the periodic window, and the periodic analysis is spliced ​​and combined in timeline order by comparing and analyzing the period, and the timeline is used as the independent variable factor, and the attenuation average ratio residual value of the periodic load signal transmission capacity of the base station is used as the dependent variable factor to construct the attenuation histogram of the periodic base station capacity; where i is a constant;

[0020] S303, construct a corresponding base station operation status prediction model according to the attenuation histogram of the periodic base station capacity to analyze the balanced operation status of the base station; extract the attenuation average ratio residual value of the base station load signal transmission capacity corresponding to each period and construct a set, use point clustering data processing, perform point cluster mapping on each data in the set and determine the discrete situation of each data point through cluster analysis, and draw the corresponding data point discrete convergence diagram; use the convergence circle to determine the dense area of ​​the data point discrete convergence diagram; the convergence circle is a circle with a radius step-increasing, and the initial radius of the convergence circle is set to r, and it is placed in the density maximum value area in the data point discrete convergence diagram, and the radius is increased by step s, and the internal data point density is calculated for each circle after the radius is increased. The calculation formula is: Where ρ(R) is the density of data points in the circle with radius R; F is the number of data points in the circle with radius R; R∈[r, r+s, r+2s..., r+ks], where k is a constant; the dense area of ​​the discrete convergence graph of data points is determined by comparing the changes in the density of data points in the adjacent radius convergence circles, and the calculation formula is: Where P(R→R+1) is the density change ratio between adjacent convergence circles; ρ(R) is the density of data points in the circle with radius R; ρ(R+1) is the density of data points in the adjacent convergence circle of the circle with radius R; when P(R→R+1)>P0, the convergence circle corresponding to ρ(R) is judged to be the dense area in the discrete convergence diagram of data points, and the data points in the circle are mapped and the set data is extracted to determine the equilibrium interval of the attenuation average ratio residual value of the base station load signal transmission capacity [CsC down , CsCup ]; P0 is the system preset contrast threshold; CsC down and CsC up Mapping the upper and lower limits of the data values ​​in the data combination to the data points in the dense region of the discrete convergence diagram of the corresponding data points;

[0021] In the attenuation histogram of periodic base station capacity, the equilibrium interval is taken as the fluctuation interval of the normal equilibrium state of the base station operation, and the step situation of the base station signal transmission operation state between adjacent periods is analyzed. The calculation formula is: Where Bj is the balanced step value of the balanced operation state in the base station operation cycle; T(CsC up ) and T(CsC down ) respectively correspond to the attenuation average residual value CsC of the base station load signal transmission capacity up and CsC down The operation cycle of the base station; taking the step analysis under the balanced operation state of the base station as a reference, the step analysis of the real-time operation state of the base station is analyzed, and the calculation formula is: Where Dyj is the real-time dynamic step value in the real-time operation cycle of the base station; CsC T CsC is the residual value of the attenuation ratio of the load signal transmission capacity in the base station real-time operation period T; t(T+1) is the residual value of the attenuation ratio of the load signal transmission capacity at the real-time operation time t in the next adjacent cycle of the real-time operation cycle T of the base station; t(T+1) is the real-time operation time t in the next adjacent cycle of the real-time operation cycle T of the base station; if CsC in the real-time operation state of the current base station t(T+1) ∈[CsC down , CsC up ], the base station is in a balanced operation state, and the operation step situation of the base station is analyzed; if Dyj≤γ*Bj, the current base station step situation is judged to be normal; if Dyj>γ*Bj, the current base station step situation is judged to be abnormal, and there is a risk of overload or abnormal signal loss; γ is the system correction coefficient; if the real-time operation state of the current base station is It is judged that the current base station is in an abnormal operating state, with an overload condition or abnormal signal loss; since there are generally a large number of mobile devices connected to the base station in the coverage area of ​​the base station, the operating state of the base station is basically in a balanced operating state. When the real-time operating state of the base station is not balanced, there are generally two situations. One is a sudden increase in the number of mobile signaling or a sudden increase in mobile terminal connection requests, which will cause the base station to be overloaded; the other is a large number of signals are lost, and the base station has a signal connection failure; and when the base station is in a balanced operating state, the real-time transmission of the signal data of the base station can be predicted by analyzing the step conditions of the signal transmission in adjacent cycles, thereby judging the operating state of the base station.

[0022] The specific steps of S400 for transmitting the base station coverage area signal analysis data and base station prediction analysis results to the base station monitoring terminal in real time and storing data logs for the target area and base station are as follows:

[0023] S401, transmitting the signal transmission data between the base station and the mobile terminal within the coverage area of ​​the base station and the real-time prediction and analysis data of the base station status to the monitoring terminal through the optical fiber, displaying the data through the feedback port, and issuing abnormal warnings to the management personnel according to the real-time operation status of the base station and the prediction results;

[0024] S402: Log update of base station signal transmission data in the target area and data recording of the operating status of the base station.

[0025] A data transmission management system applied to base station communication, the system comprising a signal data survey module, a space model simulation module, a state model analysis module and a state output module;

[0026] The signal data survey module uses signal detection equipment to survey the signal distribution of the target detection area, and generates a signal distribution map of the target area based on the survey results and the base station coverage of the target area; the space model simulation module constructs a regional three-dimensional space signal simulation model by mapping the signal distribution map of the target area, and retrieves the historical periodic signal data transmission records of each point by obtaining the segmented signal area where the three-dimensional cloud point map of each point in the space is located; the state model analysis module imports the historical periodic signal data of each point into the simulation model, analyzes the signal transmission change state of the corresponding target area within the historical period, constructs a corresponding signal prediction analysis model, and dynamically analyzes the operating status of the base station according to the model analysis; the state output module transmits the base station coverage area signal analysis data and the base station prediction analysis results to the base station monitoring terminal in real time, and stores data logs for the target area and the base station.

[0027] The signal data survey module includes a signal data acquisition unit and a signal distribution map generation unit; the signal data acquisition unit detects and collects signal data of each point in the target survey area by arranging front-end signal monitoring equipment in the target survey area or by manual survey; the collected data is transmitted to the background display and control terminal through the local area network to demonstrate the signal distribution of the target area; the signal distribution map generation unit annotates the real-time dynamic signal data of each point in the target area according to the demonstration results, and obtains the static instantaneous signal data map in the target area at each time point by intercepting the static time frame in combination with the base station coverage of the target area, and obtains the dynamic area signal distribution map within the period by intercepting different time frames.

[0028] The space model simulation module includes a simulation space construction unit and an evolution data acquisition unit; the simulation space construction unit uses a three-dimensional simulation space to digitally simulate the target area, construct a mapped digital space model of the real target area, and perform feature analysis on the dynamic area signal distribution map, respectively extract the data of each point in the distribution map to fill the simulation space mapping, and annotate the abnormal area and merge the conventional area of ​​the simulation space according to the data filling result to complete the signal area segmentation processing of the simulation space; the evolution data acquisition unit sets up the real space area for the simulation space after the segmented signal processing, and captures the historical periodic signal data transmission record of the real space mapping coordinate point by comparing the coordinates of each point in the simulation space, and constructs the periodic evolution data by associating the captured data with the period, and coordinates the periodic evolution data of each point in the target area to construct a regional evolution data set.

[0029] The state model analysis module includes an environmental signal attenuation analysis unit, an attenuation histogram generation unit and a base station state analysis unit; the environmental signal attenuation analysis unit inputs the regional evolution data set into the simulation space model with the timeline as the evolution axis, and comprehensively analyzes the periodic evolution data through the simulation space model; analyzes the influence of environmental signal attenuation at each point in the target area within the coverage range of the base station; the attenuation histogram generation unit analyzes the periodic signal changes in the target area in combination with the attenuation analysis results of the environmental signal; analyzes the degree of change of the load signal transmission capacity of the base station within the periodic time; according to the attenuation change degree analysis results of the periodic base station load signal capacity, obtains the analysis results of i period windows by translating the period window, and splices and combines the periods in the order of the timeline by comparing and analyzing, takes the timeline as the independent variable factor, and takes the attenuation average ratio residual value of the periodic load signal transmission capacity of the base station as the dependent variable factor to construct an attenuation histogram of the periodic base station capacity; wherein i is a constant; the base station state analysis unit constructs an attenuation histogram of the periodic base station capacity according to the attenuation histogram of the periodic base station capacity. The corresponding base station operation status prediction model is used to analyze the balanced operation status of the base station; the attenuation mean ratio residual value of the base station load signal transmission capacity corresponding to each period is extracted and a set is constructed, and the data in the set is mapped to a point cluster using point clustering data processing, and the discrete situation of each data point is determined through cluster analysis, and the corresponding data point discrete convergence diagram is drawn; the dense area of ​​the data point discrete convergence diagram is determined by using the convergence circle; the dense area of ​​the data point discrete convergence diagram is determined by comparing the changes in the density of data points in the adjacent radius convergence circles, and the data points in the circle are mapped to extract the set data to determine the equilibrium interval of the attenuation mean ratio residual value of the base station load signal transmission capacity; in the attenuation histogram of the periodic base station capacity, the equilibrium interval is taken as the fluctuation interval of the conventional equilibrium state of the base station operation, and the step-by-step situation of the base station signal transmission operation state between adjacent periods is analyzed; with the step-by-step analysis under the balanced operation state of the base station as a control, the step-by-step situation of the real-time operation state of the base station is analyzed, and the base station operation state is judged in real time according to the analysis results.

[0030] The status output module includes a data transmission unit and a data backup unit; the data transmission unit transmits the signal transmission data between the base station and the mobile terminal within the coverage area of ​​the base station and the real-time prediction and analysis data of the base station status to the monitoring terminal through optical fiber, displays the data through the feedback port, and issues abnormal warnings to management personnel based on the real-time operation status of the base station and the prediction results; the data backup unit updates the log of the base station signal transmission data in the target area and records the data of the operation status of the base station.

[0031] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention combines a multi-module unit to dynamically detect and analyze the base station signal transmission data in the target area to realize the judgment and prediction of the operating status of the base station in the area; the simulation model is used and filled with actual space base station signal data to build a data interaction transmission and operation model of the virtual space base station, which is convenient for visual analysis and operation of the data in the target area; by analyzing the influence of environmental attenuation on signal transmission in the area, and introducing the attenuation influence coefficient to analyze the influence of the data transmission capacity during the operation of the base station, and obtaining the corresponding attenuation histogram, the operating state jump of the base station is analyzed according to the histogram, and the operating state of the base station is judged and predicted according to the analysis result; the above scheme can analyze and predict the data interaction and state of the base station in the target area in real time, and control the influence of the real environmental attenuation in the area on data communication in real time. At the same time, according to the real-time operating state of the base station, the real-time operating state and related predictions of the base station are obtained according to the periodic analysis state jump, and the relevant management personnel can use this to control the data of the base station in the target area, thereby achieving dynamic control of the mobile communication data in the target area. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0033] Figure 1 The present invention is a structural diagram of a data transmission management system applied to base station communication. DETAILED DESCRIPTION

[0034] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not 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.

[0035] See also Figure 1 , the present invention provides a technical solution:

[0036] A data transmission management method applied to base station communication, the method comprising the following steps:

[0037] S100, using a signal detection device to survey the signal distribution of a target detection area, and generating a signal distribution map of the target area based on the survey results and the base station coverage of the target area;

[0038] S200, constructing a regional three-dimensional spatial signal simulation model by mapping a target area signal distribution map, and retrieving historical periodic signal data transmission records of each point by obtaining a segmented signal area where a three-dimensional cloud point map of each point in the space is located;

[0039] S300, by importing the historical period signal data of each point into the simulation model, analyzing the signal transmission change state of the corresponding target area in the historical period, building a corresponding signal prediction analysis model, and dynamically analyzing the operating state of the base station according to the model analysis;

[0040] S400: Transmit the base station coverage area signal analysis data and base station prediction analysis results to the base station monitoring terminal in real time, and store data logs for the target area and base station.

[0041] The specific steps of using the signal detection equipment to survey the signal distribution of the target detection area and combining the survey results with the base station coverage of the target area to generate a signal distribution map of the target area are as follows:

[0042] S101, by arranging front-end signal monitoring equipment in the target survey area or by manual survey, the signal data of each point in the area is detected and collected; the collected data is transmitted to the back-end display and control terminal through the local area network, and the signal distribution of the target area is demonstrated;

[0043] S102. Annotate the real-time dynamic signal data of each point in the target area according to the demonstration results. Combine the base station coverage of the target area with the static time frame interception to obtain the static instantaneous signal data diagram in the target area at each time point. Obtain the dynamic area signal distribution diagram within the period by intercepting different time frames.

[0044] The specific steps of constructing a regional three-dimensional spatial signal simulation model by mapping the target area signal distribution map and retrieving the historical periodic signal data transmission record of each point by obtaining the segmented signal area where the three-dimensional cloud point map of each point in the space is located are as follows:

[0045] S201, digitally reconstructing the target area using a three-dimensional simulation space, constructing a mapped digital space model of the real target area, performing feature analysis on the dynamic area signal distribution map, extracting data from each point in the distribution map for simulation space mapping filling, annotating abnormal areas and fusing regular areas of the simulation space according to the data filling results, and completing signal area segmentation processing of the simulation space;

[0046] S202. Construct a real space area for the simulation space after segmented signal processing. By comparing the coordinates of each point in the simulation space, record and capture the historical periodic signal data transmission of the real space mapping coordinate points, associate the captured data with the period to construct the periodic evolution data, coordinate the periodic evolution data of each point in the target area, and construct a regional evolution data set.

[0047] The S300 imports the historical period signal data of each point into the simulation model, analyzes the signal transmission change state of the corresponding target area in the historical period, and constructs a corresponding signal prediction analysis model. The specific steps of dynamically analyzing the operating state of the base station according to the model analysis are as follows:

[0048] S301, input the regional evolution data set into the simulation space model with the timeline as the evolution axis, and conduct a comprehensive analysis of the periodic evolution data through the simulation space model; analyze the influence of environmental signal attenuation at each point within the coverage range of the target area, and the calculation formula is: Where δ(x, y, z) is the signal attenuation influence of each point in the real space mapped in the simulation space; RSS f (x, y, z) is the signal strength value of each point in the real space obtained by actual survey; RSS v (x, y, z) is the theoretical signal strength value of each point in the simulated space mapped to the real space; Trap (bs) is the base station transmission power covered by the signal at each point; Trag (bs) is the base station transmission antenna gain covered by the signal at each point; Reag (mob) is the average receiving antenna gain of the mobile terminal at each point; LOSS (mob) is the path loss between each point in the simulated space mapped to the real space and the base station; Sf is the signal frequency of the mobile terminal corresponding to each point in the simulated space mapped to the real space; LD is the distance between each point in the simulated space mapped to the real space and the base station; c is the speed of light;

[0049] S302, analyzing the periodic signal changes in the target area in combination with the attenuation analysis results of the environmental signal; analyzing the degree of change in the load signal transmission capacity of the base station within the periodic time, and the calculation formula is: Where CsC is the residual value of the load signal transmission capacity attenuation of the base station within the period; [δ n→δ(x, y, z)] is the user position that interacts with the base station in the coverage area of ​​the base station within the period; n is the number of users; u is a constant; T is a period window; C is the base station signal data transmission capacity; m is the number of base station signaling transmissions within the period; p is the single signaling capacity; according to the attenuation change analysis results of the periodic base station load signal capacity, the analysis results of i period windows are obtained by translating the period window, and the periods are spliced ​​and combined in timeline order by comparing and analyzing the period, with the timeline as the independent variable factor and the attenuation average ratio residual value of the periodic load signal transmission capacity of the base station as the dependent variable factor to construct the attenuation histogram of the periodic base station capacity; where i is a constant;

[0050] S303, construct a corresponding base station operation status prediction model according to the attenuation histogram of the periodic base station capacity to analyze the balanced operation status of the base station; extract the attenuation average ratio residual value of the base station load signal transmission capacity corresponding to each period and construct a set, use point clustering data processing, map each data in the set to a point cluster and determine the discrete situation of each data point through cluster analysis, and draw the corresponding data point discrete convergence diagram; use the convergence circle to determine the dense area of ​​the data point discrete convergence diagram; determine the dense area of ​​the data point discrete convergence diagram by comparing the change of the data point density in the adjacent radius convergence circle, and the calculation formula is: Where P(R→R+1) is the density change ratio between adjacent convergence circles; ρ(R) is the density of data points in the circle with radius R; ρ(R+1) is the density of data points in the adjacent convergence circle of the circle with radius R; when P(R→R+1)>P0, the convergence circle corresponding to ρ(R) is judged to be the dense area in the discrete convergence diagram of data points, and the data points in the circle are mapped and the set data is extracted to determine the equilibrium interval of the attenuation average ratio residual value of the base station load signal transmission capacity [CsC down , CsC up ]; P0 is the system preset contrast threshold; CsC down and CsC up Mapping the upper and lower limits of the data values ​​in the data combination to the data points in the dense region of the discrete convergence diagram of the corresponding data points;

[0051] In the attenuation histogram of periodic base station capacity, the equilibrium interval is taken as the fluctuation interval of the normal equilibrium state of the base station operation, and the step situation of the base station signal transmission operation state between adjacent periods is analyzed. The calculation formula is: Where Bj is the balanced step value of the balanced operation state in the base station operation cycle; T(CsC up ) and T(CsC down ) respectively correspond to the attenuation average residual value CsC of the base station load signal transmission capacity up and CsC downThe operation cycle of the base station; taking the step analysis under the balanced operation state of the base station as a reference, the step analysis of the real-time operation state of the base station is analyzed, and the calculation formula is: Where Dyj is the real-time dynamic step value in the real-time operation cycle of the base station; CsC T CsC is the residual value of the attenuation ratio of the load signal transmission capacity in the base station real-time operation period T; t(T+1) is the residual value of the attenuation ratio of the load signal transmission capacity at the real-time operation time t in the next adjacent cycle of the real-time operation cycle T of the base station; t(T+1) is the real-time operation time t in the next adjacent cycle of the real-time operation cycle T of the base station; if CsC in the real-time operation state of the current base station t(T+1) ∈[CsC down , CsC up ], the base station is in a balanced operation state, and the operation step situation of the base station is analyzed; if Dyj≤γ*Bj, the current base station step situation is judged to be normal; if Dyj>γ*Bj, the current base station step situation is judged to be abnormal, and there is a risk of overload or abnormal signal loss; γ is the system correction coefficient; if the real-time operation state of the current base station is It is determined that the current base station is in an abnormal operating state, there is an overload condition or abnormal signal loss.

[0052] The specific steps of S400 for transmitting the base station coverage area signal analysis data and base station prediction analysis results to the base station monitoring terminal in real time and storing data logs for the target area and base station are as follows:

[0053] S401, transmitting the signal transmission data between the base station and the mobile terminal within the coverage area of ​​the base station and the real-time prediction and analysis data of the base station status to the monitoring terminal through the optical fiber, displaying the data through the feedback port, and issuing abnormal warnings to the management personnel according to the real-time operation status of the base station and the prediction results;

[0054] S402: Log update of base station signal transmission data in the target area and data recording of the operating status of the base station.

[0055] A data transmission management system applied to base station communication, the system comprising a signal data survey module, a space model simulation module, a state model analysis module and a state output module;

[0056] The signal data survey module uses signal detection equipment to survey the signal distribution of the target detection area, and generates a signal distribution map of the target area based on the survey results and the base station coverage of the target area; the space model simulation module constructs a regional three-dimensional space signal simulation model by mapping the signal distribution map of the target area, and retrieves the historical periodic signal data transmission records of each point by obtaining the segmented signal area where the three-dimensional cloud point map of each point in the space is located; the state model analysis module imports the historical periodic signal data of each point into the simulation model, analyzes the signal transmission change state of the corresponding target area within the historical period, constructs a corresponding signal prediction analysis model, and dynamically analyzes the operating status of the base station according to the model analysis; the state output module transmits the base station coverage area signal analysis data and the base station prediction analysis results to the base station monitoring terminal in real time, and stores data logs for the target area and the base station.

[0057] The signal data survey module includes a signal data acquisition unit and a signal distribution map generation unit; the signal data acquisition unit detects and collects signal data of each point in the target survey area by arranging front-end signal monitoring equipment in the target survey area or by manual survey; the collected data is transmitted to the background display and control terminal through the local area network to demonstrate the signal distribution of the target area; the signal distribution map generation unit annotates the real-time dynamic signal data of each point in the target area according to the demonstration results, and obtains the static instantaneous signal data map in the target area at each time point by intercepting the static time frame in combination with the base station coverage of the target area, and obtains the dynamic area signal distribution map within the period by intercepting different time frames.

[0058] The space model simulation module includes a simulation space construction unit and an evolution data acquisition unit; the simulation space construction unit uses a three-dimensional simulation space to digitally simulate the target area, construct a mapped digital space model of the real target area, and perform feature analysis on the dynamic area signal distribution map, respectively extract the data of each point in the distribution map to fill the simulation space mapping, and annotate the abnormal area and merge the conventional area of ​​the simulation space according to the data filling result to complete the signal area segmentation processing of the simulation space; the evolution data acquisition unit sets up the real space area for the simulation space after the segmented signal processing, and captures the historical periodic signal data transmission record of the real space mapping coordinate point by comparing the coordinates of each point in the simulation space, and constructs the periodic evolution data by associating the captured data with the period, and coordinates the periodic evolution data of each point in the target area to construct a regional evolution data set.

[0059] The state model analysis module includes an environmental signal attenuation analysis unit, an attenuation histogram generation unit and a base station state analysis unit; the environmental signal attenuation analysis unit inputs the regional evolution data set into the simulation space model with the timeline as the evolution axis, and comprehensively analyzes the periodic evolution data through the simulation space model; analyzes the influence of environmental signal attenuation at each point in the target area within the coverage range of the base station; the attenuation histogram generation unit analyzes the periodic signal changes in the target area in combination with the attenuation analysis results of the environmental signal; analyzes the degree of change of the load signal transmission capacity of the base station within the periodic time; according to the attenuation change degree analysis results of the periodic base station load signal capacity, obtains the analysis results of i period windows by translating the period window, and splices and combines the periods in the order of the timeline by comparing and analyzing, takes the timeline as the independent variable factor, and takes the attenuation average ratio residual value of the periodic load signal transmission capacity of the base station as the dependent variable factor to construct an attenuation histogram of the periodic base station capacity; wherein i is a constant; the base station state analysis unit constructs an attenuation histogram of the periodic base station capacity according to the attenuation histogram of the periodic base station capacity. The corresponding base station operation status prediction model is used to analyze the balanced operation status of the base station; the attenuation mean ratio residual value of the base station load signal transmission capacity corresponding to each period is extracted and a set is constructed, and the data in the set is mapped to a point cluster using point clustering data processing, and the discrete situation of each data point is determined through cluster analysis, and the corresponding data point discrete convergence diagram is drawn; the dense area of ​​the data point discrete convergence diagram is determined by using the convergence circle; the dense area of ​​the data point discrete convergence diagram is determined by comparing the changes in the density of data points in the adjacent radius convergence circles, and the data points in the circle are mapped to extract the set data to determine the equilibrium interval of the attenuation mean ratio residual value of the base station load signal transmission capacity; in the attenuation histogram of the periodic base station capacity, the equilibrium interval is taken as the fluctuation interval of the conventional equilibrium state of the base station operation, and the step-by-step situation of the base station signal transmission operation state between adjacent periods is analyzed; with the step-by-step analysis under the balanced operation state of the base station as a control, the step-by-step situation of the real-time operation state of the base station is analyzed, and the base station operation state is judged in real time according to the analysis results.

[0060] The state output module includes a data transmission unit and a data backup unit; the data transmission unit transmits the signal transmission data between the base station and the mobile terminal within the coverage area of ​​the base station and the real-time prediction and analysis data of the base station status to the monitoring terminal through an optical fiber, displays the data through a feedback port, and issues abnormal warnings to management personnel based on the real-time operation status of the base station and the prediction results; the data backup unit logs the signal transmission data of the base station in the target area and records the operation status of the base station;

[0061] In the example:

[0062] Now, data collection is carried out in a certain area. The signal data of each point in the area is detected and collected by arranging front-end signal monitoring equipment in the target survey area or by manual survey; the collected data is transmitted to the background display and control terminal through the local area network, and the signal distribution of the target area is demonstrated; according to the demonstration results, the real-time dynamic signal data of each point in the target area is marked, and the static instantaneous signal data diagram in the target area at each time point is obtained by intercepting the static time frame in combination with the base station coverage of the target area, and the dynamic area signal distribution diagram within the period is obtained by intercepting different time frames;

[0063] The data transmission management system of the present invention is installed at the back-end control end of the base station, and the target area is digitally simulated and reconstructed through the three-dimensional simulation space of the system to construct a mapping digital space model of the real target area, and the dynamic area signal distribution map is feature analyzed, and the data of each point in the distribution map is extracted to fill the simulation space mapping, and the simulation space is annotated with abnormal areas and fused with regular areas according to the data filling results, so as to complete the signal area segmentation processing of the simulation space; the simulation space after the segmented signal processing is set up in the real space area, and the historical periodic signal data transmission record of the real space mapping coordinate point is captured by comparing the coordinates of each point in the simulation space, and the captured data is associated with the period to construct the periodic evolution data, and the periodic evolution data of each point in the target area are coordinated to construct a regional evolution data set; the regional evolution data set is input into the simulation space model with the timeline as the evolution axis, and the periodic evolution data is comprehensively analyzed through the simulation space model; the influence of the environmental signal attenuation of each point in the coverage range of the target area is analyzed, and the calculation formula is as follows: Combined with the attenuation analysis results of the environmental signal, the periodic signal changes in the target area are analyzed; the change degree of the load signal transmission capacity of the base station within the periodic time is analyzed, and the calculation formula is: According to the analysis results of the attenuation change degree of the load signal capacity of the periodic base station, the analysis results of i periodic windows are obtained by translating the periodic window, and the periods are spliced ​​and combined in the order of the timeline by comparing and analyzing, and the timeline is used as the independent variable factor, and the attenuation mean residual value of the periodic load signal transmission capacity of the base station is used as the dependent variable factor to construct the attenuation histogram of the periodic base station capacity; according to the attenuation histogram of the periodic base station capacity, the corresponding base station operation status prediction model is constructed to analyze the balanced operation status of the base station; the attenuation mean residual value of the load signal transmission capacity of the base station corresponding to each period is extracted and constructed into a set, and the data in the set is mapped to a point cluster by using point clustering data processing, and the discrete situation of each data point is determined by clustering analysis, and the corresponding data point discrete convergence diagram is drawn; the convergence circle is used to determine the dense area of ​​the discrete convergence diagram of the data point; the dense area of ​​the discrete convergence diagram of the data point is determined by comparing the changes in the density of data points in the adjacent radius convergence circles, and the calculation formula is: Where P(R→R+1) is the density change ratio between adjacent convergence circles; ρ(R) is the density of data points in the circle with radius R; ρ(R+1) is the density of data points in the adjacent convergence circles of the circle with radius R; if P(R→R+1)>P0, then the convergence circle corresponding to ρ(R) is judged to be the dense area in the discrete convergence diagram of data points, and the data points in the circle are mapped and the set data is extracted to determine the equilibrium interval of the attenuation average ratio residual value of the base station load signal transmission capacity [CsC down , CsC up ];

[0064] In the attenuation histogram of periodic base station capacity, the equilibrium interval is taken as the fluctuation interval of the normal equilibrium state of the base station operation, and the step situation of the base station signal transmission operation state between adjacent periods is analyzed. The calculation formula is: Taking the step analysis under the balanced operation state of the base station as a reference, the step analysis of the real-time operation state of the base station is analyzed, and the calculation formula is: If the CsC in the real-time operation state of the current base station t(T+1) ∈[CsC down , CsC up ], the base station is in a balanced operation state, and the operation step situation of the base station is analyzed; if Dyj≤γ*Bj, the current base station step situation is normal; if Dyj>γ*Bj, the current base station step situation is abnormal, and there is a risk of overload or abnormal signal loss; if the real-time operation state of the current base station is It is determined that the current base station is in an abnormal operating state, there is an overload condition or abnormal signal loss;

[0065] The signal transmission data between the base station and the mobile terminal within the coverage area of ​​the base station and the real-time prediction and analysis data of the base station status are transmitted to the monitoring terminal through optical fiber, and the data is displayed through the feedback port. The management personnel are warned of abnormalities based on the real-time operation status and prediction results of the base station. The signal transmission data of the base station in the target area is updated in the log, and the operation status of the base station is recorded.

[0066] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0067] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A data transmission management method applied to base station communication, characterized in that: The method comprises the following steps: S100, using a signal detection device to survey the signal distribution of a target detection area, and generating a signal distribution map of the target area based on the survey results and the base station coverage of the target area; S200, constructing a regional three-dimensional spatial signal simulation model by mapping a target area signal distribution map, and retrieving historical periodic signal data transmission records of each point by obtaining a segmented signal area where a three-dimensional cloud point map of each point in the space is located; S300, by importing the historical period signal data of each point into the simulation model, analyzing the signal transmission change state of the corresponding target area in the historical period, building a corresponding signal prediction analysis model, and dynamically analyzing the operating state of the base station according to the model analysis; S400: Transmit the base station coverage area signal analysis data and base station prediction analysis results to the base station monitoring terminal in real time, and store data logs for the target area and base station.

2. A data transmission management method applied to base station communication according to claim 1, characterized in that: The specific steps of using the signal detection equipment to survey the signal distribution of the target detection area and combining the survey results with the base station coverage of the target area to generate a signal distribution map of the target area are as follows: S101, by arranging front-end signal monitoring equipment in the target survey area or by manual survey, the signal data of each point in the area is detected and collected; the collected data is transmitted to the back-end display and control terminal through the local area network, and the signal distribution of the target area is demonstrated; S102. Annotate the real-time dynamic signal data of each point in the target area according to the demonstration results. Combine the base station coverage of the target area with the static time frame interception to obtain the static instantaneous signal data diagram in the target area at each time point. Obtain the dynamic area signal distribution diagram within the period by intercepting different time frames.

3. A data transmission management method applied to base station communication according to claim 2, characterized in that: The specific steps of constructing a regional three-dimensional spatial signal simulation model by mapping the target area signal distribution map and retrieving the historical periodic signal data transmission record of each point by obtaining the segmented signal area where the three-dimensional cloud point map of each point in the space is located are as follows: S201, digitally reconstructing the target area using a three-dimensional simulation space, constructing a mapped digital space model of the real target area, performing feature analysis on the dynamic area signal distribution map, extracting data from each point in the distribution map for simulation space mapping filling, annotating abnormal areas and fusing regular areas of the simulation space according to the data filling results, and completing signal area segmentation processing of the simulation space; S202. Construct a real space area for the simulation space after segmented signal processing. By comparing the coordinates of each point in the simulation space, record and capture the historical periodic signal data transmission of the real space mapping coordinate points, associate the captured data with the period to construct the periodic evolution data, coordinate the periodic evolution data of each point in the target area, and construct a regional evolution data set.

4. A data transmission management method applied to base station communication according to claim 3, characterized in that: The S300 imports the historical period signal data of each point into the simulation model, analyzes the signal transmission change state of the corresponding target area in the historical period, and constructs a corresponding signal prediction analysis model. The specific steps of dynamically analyzing the operating state of the base station according to the model analysis are as follows: S301, input the regional evolution data set into the simulation space model with the timeline as the evolution axis, and conduct a comprehensive analysis of the periodic evolution data through the simulation space model; analyze the influence of environmental signal attenuation at each point within the coverage range of the target area, and the calculation formula is: Where δ(x, y, z) is the signal attenuation influence of each point in the real space mapped in the simulation space; RSS f (x, y, z) is the signal strength value of each point in the real space obtained by actual survey; RSS v (x, y, z) is the theoretical signal strength value of each point in the simulated space mapped to the real space; Trap(bs) is the base station transmission power corresponding to the signal coverage of each point; Trag(bs) is the base station transmission antenna gain corresponding to the signal coverage of each point; Reag(mob) is the average receiving antenna gain of the mobile terminal at each corresponding point; LOSS(mob) is the path loss between each corresponding point in the simulated space and the base station; Sf is the signal frequency of the mobile terminal corresponding to each point in the simulation space mapped in the real space; the distance between each point in the LD simulation space mapped in the real space and the base station; c is the speed of light; S302, analyzing the periodic signal changes in the target area in combination with the attenuation analysis results of the environmental signal; analyzing the degree of change in the load signal transmission capacity of the base station within the periodic time, and the calculation formula is: Where CsC is the residual value of the load signal transmission capacity attenuation of the base station within the period; [δ n →δ(x,y,z)] is the user position that interacts with the base station signal data within the period within the base station coverage; n is the number of users; u is a constant; T is a period window; C is the base station signal data transmission capacity; m is the number of base station signaling transmissions within the period; p is the single signaling capacity; according to the attenuation change analysis results of the periodic base station load signal capacity, the analysis results of i period windows are obtained by translating the period window, and the periods are spliced ​​and combined in timeline order by comparing and analyzing the period, with the timeline as the independent variable factor and the attenuation average ratio residual value of the periodic load signal transmission capacity of the base station as the dependent variable factor to construct the attenuation histogram of the periodic base station capacity; Where i is a constant; S303, construct a corresponding base station operation status prediction model according to the attenuation histogram of the periodic base station capacity to analyze the balanced operation status of the base station; extract the attenuation average ratio residual value of the base station load signal transmission capacity corresponding to each period and construct a set, use point clustering data processing, map each data in the set to a point cluster and determine the discrete situation of each data point through cluster analysis, and draw the corresponding data point discrete convergence diagram; use the convergence circle to determine the dense area of ​​the data point discrete convergence diagram; determine the dense area of ​​the data point discrete convergence diagram by comparing the change of the data point density in the adjacent radius convergence circle, and the calculation formula is: Where P(R→R+1) is the density change ratio between adjacent convergence circles; ρ(R) is the density of data points in the circle with radius R; ρ(R+1) is the density of data points in the adjacent convergence circle of the circle with radius R; when P(R→R+1)>P0, the convergence circle corresponding to ρ(R) is judged to be the dense area in the discrete convergence diagram of data points, and the data points in the circle are mapped and the set data is extracted to determine the equilibrium interval of the attenuation average ratio residual value of the base station load signal transmission capacity [CsC down , CsC up ]; P0 is the system preset comparison threshold; C down and CsC up Mapping the upper and lower limits of the data values ​​in the data combination to the data points in the dense region of the discrete convergence diagram of the corresponding data points; In the attenuation histogram of periodic base station capacity, the equilibrium interval is taken as the fluctuation interval of the normal equilibrium state of the base station operation, and the step situation of the base station signal transmission operation state between adjacent periods is analyzed. The calculation formula is: Where Bj is the balanced step value of the balanced operation state in the base station operation cycle; T(CsC up ) and T(CsC down ) respectively correspond to the attenuation average residual value CsC of the base station load signal transmission capacity up and CsC down The operating cycle; Taking the step analysis under the balanced operation state of the base station as a reference, the step analysis of the real-time operation state of the base station is analyzed, and the calculation formula is: Where Dyj is the real-time dynamic step value in the real-time operation cycle of the base station; CsC T is the attenuation average residual value of the load signal transmission capacity in the real-time operation period T of the base station; Ct (T+1) is the attenuation average residual value of the load signal transmission capacity at the real-time operation time t in the next adjacent cycle of the real-time operation cycle T of the base station; t(T+1) is the real-time operation time t in the next adjacent cycle of the real-time operation cycle T of the base station; if CsC in the real-time operation state of the current base station t(T+1) ∈[CsC down , CsC up ], the base station is in a balanced operation state, and the operation step situation of the base station is analyzed; if Dyj≤γ*Bj, the current base station step situation is normal; if Dyj>γ*Bj, the current base station step situation is abnormal, and there is a risk of overload or abnormal signal loss; γ is the system correction coefficient; if the real-time operation state of the current base station is It is determined that the current base station is in an abnormal operating state, there is an overload condition or abnormal signal loss.

5. A data transmission management method applied to base station communication according to claim 4, characterized in that: The specific steps of S400 for transmitting the base station coverage area signal analysis data and base station prediction analysis results to the base station monitoring terminal in real time and storing data logs for the target area and base station are as follows: S401, transmitting the signal transmission data between the base station and the mobile terminal within the coverage area of ​​the base station and the real-time prediction and analysis data of the base station status to the monitoring terminal through the optical fiber, displaying the data through the feedback port, and issuing abnormal warnings to the management personnel according to the real-time operation status of the base station and the prediction results; S402: Log update of base station signal transmission data in the target area and data recording of the operating status of the base station.

6. A data transmission management system applied to base station communication, characterized in that: The system includes a signal data survey module, a space model simulation module, a state model analysis module and a state output module; The signal data survey module uses a signal detection device to survey the signal distribution of the target detection area, and generates a signal distribution map of the target area based on the survey results and the base station coverage of the target area; The spatial model simulation module constructs a regional three-dimensional spatial signal simulation model by mapping the signal distribution diagram of the target area, and retrieves the historical periodic signal data transmission records of each point by obtaining the segmented signal area where the three-dimensional cloud point diagram of each point in the space is located; the state model analysis module imports the historical periodic signal data of each point into the simulation model, analyzes the signal transmission change state of the corresponding target area within the historical period, constructs the corresponding signal prediction analysis model, and dynamically analyzes the operating status of the base station according to the model analysis; the state output module transmits the base station coverage area signal analysis data and the base station prediction analysis results to the base station monitoring terminal in real time, and stores data logs for the target area and the base station.

7. A data transmission management system for base station communication according to claim 6, characterized in that: The signal data survey module includes a signal data acquisition unit and a signal distribution map generation unit; the signal data acquisition unit detects and collects signal data of each point in the target survey area by arranging front-end signal monitoring equipment in the target survey area or by manual survey; the collected data is transmitted to the background display and control terminal through the local area network to demonstrate the signal distribution of the target area; the signal distribution map generation unit annotates the real-time dynamic signal data of each point in the target area according to the demonstration results, and obtains the static instantaneous signal data map in the target area at each time point by intercepting the static time frame in combination with the base station coverage of the target area, and obtains the dynamic area signal distribution map within the period by intercepting different time frames.

8. A data transmission management system for base station communication according to claim 7, characterized in that: The space model simulation module includes a simulation space construction unit and an evolution data acquisition unit; the simulation space construction unit uses a three-dimensional simulation space to digitally reconstruct the target area, construct a mapping digital space model of the real target area, and perform feature analysis on the dynamic area signal distribution map, respectively extract the data of each point in the distribution map to perform simulation space mapping filling, and annotate the abnormal area of ​​the simulation space and merge the regular area according to the data filling result, so as to complete the signal area segmentation processing of the simulation space; The evolution data acquisition unit constructs a real space area for the simulation space after segmented signal processing, and records and captures the historical periodic signal data transmission of the real space mapping coordinate points by comparing the coordinates of each point in the simulation space, and associates the captured data with the period to construct periodic evolution data, coordinates the periodic evolution data of each point in the target area, and constructs a regional evolution data set.

9. A data transmission management system for base station communication according to claim 8, characterized in that: The state model analysis module includes an environmental signal attenuation analysis unit, an attenuation histogram generation unit and a base station state analysis unit; the environmental signal attenuation analysis unit inputs the regional evolution data set into the simulation space model with the timeline as the evolution axis, and performs a comprehensive analysis on the periodic evolution data through the simulation space model; analyzes the influence of environmental signal attenuation at each point in the target area within the coverage range of the base station; the attenuation histogram generation unit analyzes the periodic signal changes in the target area in combination with the attenuation analysis results of the environmental signal; analyzes the degree of change of the load signal transmission capacity of the base station within the periodic time; According to the analysis results of the attenuation change degree of the periodic base station load signal capacity, the analysis results of i periodic windows are obtained by translating the periodic window, and the periods are spliced ​​and combined in the order of timeline by comparison and analysis, and the attenuation histogram of the periodic base station capacity is constructed with the timeline as the independent variable factor and the attenuation average ratio residual value of the periodic load signal transmission capacity of the base station as the dependent variable factor; Wherein i is a constant; the base station status analysis unit constructs a corresponding base station operation status prediction model according to the attenuation histogram of the periodic base station capacity to analyze the balanced operation status of the base station; the attenuation average ratio residual value of the base station load signal transmission capacity corresponding to each period is extracted and a set is constructed, and the data in the set is subjected to point cluster mapping by using point cluster clustering data processing, and the discrete situation of each data point is determined by cluster analysis, and the corresponding data point discrete convergence diagram is drawn; the dense area of ​​the data point discrete convergence diagram is determined by using the convergence circle; the dense area of ​​the data point discrete convergence diagram is determined by comparing the change of the density of the data points in the adjacent radius convergence circles, and the data points in the circle are mapped to extract the set data to determine the equilibrium interval of the attenuation average ratio residual value of the base station load signal transmission capacity; In the attenuation histogram of periodic base station capacity, the equilibrium interval is taken as the fluctuation interval of the normal equilibrium state of the base station operation, and the step situation of the base station signal transmission operation state between adjacent periods is analyzed; By comparing the step analysis of the base station under the balanced operation state, the step analysis of the real-time operation state of the base station is performed, and the operation state of the base station is judged in real time according to the analysis results.

10. A data transmission management system for base station communication according to claim 9, characterized in that: The status output module includes a data transmission unit and a data backup unit; the data transmission unit transmits the signal transmission data between the base station and the mobile terminal within the coverage area of ​​the base station and the real-time prediction and analysis data of the base station status to the monitoring terminal through optical fiber, displays the data through the feedback port, and issues abnormal warnings to management personnel based on the real-time operation status of the base station and the prediction results; the data backup unit updates the log of the base station signal transmission data in the target area and records the data of the operation status of the base station.

Images