Comprehensive management platform for electromagnetic interference measurement

Abstract

The invention discloses a comprehensive management platform for electromagnetic interference measurement, and relates to the technical field of electromagnetic interference measurement, low-quality points are screened out in a target area according to a communication quality coefficient, and if the dense degree of the low-quality points is higher than expectation, a communication scene in a coverage area of the low-quality points is identified, and then the communication scene is identified. According to the communication scene, selecting a corresponding electromagnetic data sampling mode to carry out electromagnetic environment data acquisition; identifying the type of the interference source after determining the position of the interference source, constructing an electromagnetic interference degree according to the electromagnetic interference data of the interference source, and determining the target interference source; after electromagnetic environment data and communication quality data in an adjacent area of a target interference source are collected in real time, a corresponding processing strategy is selected for the interference source according to the relation between the interference correlation degree and the correlation degree. Dynamic management of the electromagnetic interference source is realized, the processing mode is more targeted, and dynamic guarantee of communication quality in the target area is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of electromagnetic interference measurement, and in particular to a comprehensive management platform for electromagnetic interference measurement. Background Art

[0002] Electromagnetic interference is a complex and widespread problem that stems from the improper transfer of energy in the electromagnetic field. It may be caused by a variety of factors, such as natural radiation sources or electromagnetic wave radiation generated by electronic equipment during operation, power supply interference, grounding problems, cable bundle interactions, and electrostatic discharge. These interferences may not only come from the natural environment, such as atmospheric noise, but also from human activities, including unintentional interference generated by the use of electronic equipment and intentional electromagnetic interference signals. Electromagnetic interference has a profound impact on electronic equipment and communication systems, which may cause equipment failure, damage, signal quality degradation, increased security risks, radio spectrum contention, and sensitive information leakage.

[0003] In order to reduce the impact of electromagnetic interference, comprehensive measures need to be taken, including using shielding technology to isolate electromagnetic fields, adding filters to circuits to eliminate interference signals, ensuring that equipment is well grounded, optimizing cable wiring layouts, adopting power management measures, and fully considering electromagnetic compatibility (EMC) issues during the equipment design phase, so as to ensure the normal operation of electronic equipment and communication systems and data security.

[0004] In the Chinese invention patent with application publication number CN118275798 A, a facility-level electromagnetic interference monitoring and analysis system is disclosed, including: indoor monitoring terminals, outdoor monitoring terminals, signal sampling and processing modules, main control computers and protection modules; both indoor monitoring terminals and outdoor monitoring terminals use ultra-wideband omnidirectional receiving antennas to receive electromagnetic signals in their respective environments in real time; signal sampling and processing modules are used to process electromagnetic signals received by indoor monitoring terminals and outdoor monitoring terminals into sampling data respectively; signal sampling and processing modules are connected to the main control computer to transmit the sampling data to the main control computer in real time; the main control computer is at least used to process and analyze the sampling data, and to determine whether the facility is subject to electromagnetic interference by comparing the electromagnetic signals of the internal and external environments of the facility, and when it is determined that the facility is subject to electromagnetic interference, the protection module is triggered to implement electromagnetic protection on the facility. The present invention not only realizes electromagnetic protection at the facility level, but also can evaluate the electromagnetic protection capability of the facility.

[0005] Combined with the above application and the contents of the prior art:

[0006] When the base station and related communication equipment are in a communication state, the quality of data communication is particularly important. However, considering that there are large crowds of people and vehicles or the communication scenarios are complex, when the communication equipment is in a more complex electromagnetic environment, the data communication quality will also fluctuate greatly. Therefore, if there is an electromagnetic interference source near the communication equipment, in order to maintain the data communication quality, the electromagnetic interference source needs to be processed.

[0007] Before processing the electromagnetic interference source, it is necessary to screen and locate the electromagnetic interference source based on several sets of electromagnetic environment data. However, in the existing electromagnetic interference processing method, the electromagnetic interference source is usually directly removed after the electromagnetic interference source is screened out. However, this processing method is relatively simple, and the electromagnetic interference source is often in a dynamic state. There are many factors that affect the quality of data communication. Taking a single processing method may not effectively reverse the communication quality. Based on the distribution state of low-quality points, the density Fop is constructed. Based on the density Fop, the data communication quality state can be judged as a whole, and the current electromagnetic interference level can be judged. If the target area is generally affected, it means that the electromagnetic interference is more serious, and targeted evaluation can be achieved.

[0008] To this end, the present invention provides a comprehensive management platform for electromagnetic interference measurement. Summary of the invention

[0009] 1. Technical issues to be solved

[0010] In view of the shortcomings of the prior art, the present invention provides a comprehensive management platform for electromagnetic interference measurement, which collects electromagnetic environment data according to the electromagnetic data sampling mode; identifies the type of interference source after determining the location of the interference source, and constructs the electromagnetic interference degree from the electromagnetic interference data of the interference source to determine the target interference source; collects the electromagnetic environment data and communication quality data in the vicinity of the target interference source in real time, and selects the corresponding processing strategy for the interference source according to the relationship between the interference correlation degree and the correlation degree. The dynamic management of the electromagnetic interference source is realized, the processing method is more targeted, and the dynamic guarantee of the communication quality is realized; thus, the technical problems raised in the background technology are solved.

[0011] (II) Technical solution

[0012] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0013] The communication quality evaluation unit collects communication quality data in the target area and constructs a communication quality coefficient, selects low-quality points in the target area according to the communication quality coefficient, and issues an interference measurement instruction if the density of the low-quality points is higher than expected;

[0014] The scene analysis unit, after identifying the communication scene in the low-quality point coverage area, selects the corresponding electromagnetic data sampling mode according to the communication scene, and completes the electromagnetic environment data collection in combination with the constrained data sampling rate;

[0015] The interference source analysis unit determines the location of the interference source based on the electromagnetic environment data and then identifies the type of the interference source. It constructs the electromagnetic interference degree based on the electromagnetic interference data of the interference source and determines the target interference source based on the electromagnetic interference degree.

[0016] The correlation processing unit collects electromagnetic environment data and communication quality data in the vicinity of the target interference source in real time, and selects a corresponding processing strategy for the interference source based on the relationship between the interference correlation degree and the correlation degree.

[0017] Furthermore, several evenly distributed monitoring points are selected in the target area, and communication quality data are collected and recorded at the monitoring points, including at least the connection establishment time, request response time and client processing time when data communication occurs, and the communication quality data set is generated after aggregation.

[0018] Furthermore, a communication quality coefficient is generated from the communication quality data set. If the communication quality coefficient is lower than the communication quality threshold, the corresponding monitoring point is regarded as a low-quality point. The location information of the low-quality point is marked on the electronic map, and the density of the low-quality point is constructed.

[0019] Furthermore, under dimensionless conditions, the communication quality coefficient Qts is generated from the communication quality data set in the following manner:

[0020]

[0021] Weight coefficient, 0≤α≤1, 0≤β≤1, and α+β=1, St i is the connection establishment time on the i-th collection node, St a is its qualified standard value; Kt i is the request response time on the i-th collection node, Kt a is its qualified standard value; Xs is the median quality value, μXs is its expectation, and σXs is its standard deviation.

[0022] Further, after receiving the interference measurement instruction, communication scenario data collection is performed at the low-quality point;

[0023] The communication scenario data in the low-quality point coverage area is used as input, and the trained communication scenario recognition model is used to identify the corresponding data communication scenario to obtain the corresponding communication scenario.

[0024] Furthermore, according to the correspondence between the sampling mode and the communication scenario, the corresponding electromagnetic data sampling mode is matched by the current communication scenario, and the data sampling rate is constrained according to the communication quality coefficient;

[0025] Electromagnetic data sampling is performed at a data sampling frequency that meets the constraint conditions, and the acquired electromagnetic environment data is aggregated to generate an electromagnetic environment data set.

[0026] Furthermore, based on the measurement data at different low-quality points, a triangulation positioning algorithm is used to determine the location of the interference source; after analyzing the electromagnetic environment data, interference index data of the interference source is obtained, and after aggregation, an electromagnetic interference data set of the electromagnetic interference source is generated.

[0027] Furthermore, the electromagnetic interference characteristic data is used as input, and the type of interference source is identified using the trained interference source identification model, and the electromagnetic interference degree is constructed after obtaining the current electromagnetic interference data;

[0028] If the acquired electromagnetic interference level exceeds the interference threshold, it is taken as the target interference source and its position is marked.

[0029] Furthermore, after collecting the electromagnetic interference degree and the communication quality coefficient in each sub-period, an interference correlation is constructed, and after marking the observation period with the interference correlation, a correlation threshold is constructed.

[0030] Furthermore, if the interference correlation of the interference source is lower than the correlation threshold, the interference source is not processed;

[0031] If the interference correlation is within the correlation threshold, adjust the operating frequency of the base station in the vicinity of the interference source to avoid overlapping with the interference source frequency, and adjust the transmission power of the base station;

[0032] If the interference correlation is higher than the correlation threshold, install shielding facilities between the interference source and the interfered device, and adjust the installation positions of base stations and antennas in the vicinity of the interference source.

[0033] (III) Beneficial effects

[0034] The present invention provides a comprehensive management platform for electromagnetic interference measurement, which has the following beneficial effects:

[0035] 1. Adopting different measurement strategies in different communication scenarios can ensure the reliability of collected and measured data. By constraining the data sampling rate according to the communication quality coefficient, the electromagnetic data collection frequency and the actual sampling frequency are matched to avoid omissions or shortages in the data collection process, and the reliability of the judgment is guaranteed when judging the electromagnetic environment.

[0036] 2. The location of the interference source can be determined through the triangulation positioning algorithm. After the interference source is determined, treatment measures can be taken to improve the current data communication environment;

[0037] 3. Determine the interference intensity of the interference source to determine whether the interference intensity of the interference source on data communication exceeds expectations. If it exceeds expectations, take it as the target interference source. By taking targeted measures against the screened target interference source, the impact of the target interference source on data communication can be reduced.

[0038] 4. Based on the correlation, the impact of the target interference source on the electromagnetic interference in the adjacent area can be judged. If the electromagnetic interference level exceeds expectations and the target interference source cannot be intervened in time, the data communication quality may be further affected.

[0039] 5. According to the relationship between the interference correlation and the correlation threshold, it is judged whether the impact of electromagnetic interference on communication quality exceeds expectations, and different processing strategies are adopted for the electromagnetic interference source. Since the interference correlation and the correlation threshold are both dynamic, it is possible to achieve electromagnetic interference.

[0040] Figure 1 It is a flow chart of the comprehensive management method for electromagnetic interference measurement of the present invention;

[0041] Figure 2 It is a schematic diagram of the structure of the comprehensive management platform for electromagnetic interference measurement of the present invention. DETAILED DESCRIPTION

[0042] 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.

[0043] See also Figure 1 The present invention provides a comprehensive management method for electromagnetic interference measurement, comprising:

[0044] Step 1: After collecting communication quality data in the target area, a communication quality coefficient Qts is constructed, and low-quality points are screened out in the target area according to the communication quality coefficient Qts. If the density of low-quality points is higher than expected, an interference measurement instruction is issued;

[0045] The step 1 includes the following contents:

[0046] Step 101: An area where electromagnetic interference may exist and needs to be measured is taken as a target area, and several evenly distributed monitoring points are selected in the target area. Communication quality data is collected and recorded at the monitoring points, including connection establishment time, request response time, and client processing time when data communication occurs, and the communication quality data set is generated after aggregation;

[0047] Step 102: Under dimensionless conditions, a communication quality coefficient Qts is generated from the communication quality data set in the following manner:

[0048]

[0049] Weight coefficient, 0≤α≤1, 0≤β≤1, and α+β=1, St i is the connection establishment time on the i-th collection node, St a is its qualified standard value; Kt i is the request response time on the i-th collection node, Kt a is its qualified standard value; Xs is the quality median value, μXs is its expectation, and σXs is its standard deviation;

[0050] Pre-set communication quality thresholds based on historical data and management expectations for communication quality;

[0051] If the communication quality coefficient Qts is lower than the corresponding communication quality threshold, it means that the communication quality at the corresponding monitoring point is poor, there may be electromagnetic interference, and adjustment is required. At this time, the corresponding monitoring point is regarded as a low-quality point;

[0052] During use, when it is necessary to collect and detect electromagnetic interference, the communication data at each monitoring point is first collected, and the communication quality coefficient Qts is constructed by the communication collection. The communication quality at the monitoring point can be evaluated based on the communication quality coefficient Qts. If the communication quality is poor, it means that the current data communication may be subject to a certain degree of electromagnetic interference, and the current electromagnetic environment is not conducive to the normal data communication. Therefore, there may be electromagnetic interference sources in the area where the monitoring point is located, which affects the data communication status.

[0053] Step 103: construct an electronic map covering the target area, mark the location information of the low-quality points on the electronic map, and construct the density Fop of the low-quality points in the following manner:

[0054]

[0055] Weight coefficient, 0≤α≤1, 0≤β≤1, and α+β=1; the value of the weight coefficient is consistent with the previous value; k is the number of low-quality points, G ij is the shortest distance between the i-th low-quality point and the j-th low-quality point, G a is the average of the shortest distances.

[0056] Pre-set density thresholds based on historical data and management expectations for communication quality;

[0057] If the density Fop is higher than the density threshold, it means that there are many locations with poor communication quality in the target area. This may be due to a certain degree of electromagnetic interference, which causes the current data communication quality to be poor. At this time, an interference measurement instruction is sent to the outside.

[0058] When using, combine the contents in steps 101 to 103:

[0059] After screening out low-quality points and determining the corresponding location information, the density Fop is constructed based on the distribution status of the low-quality points. Based on the density Fop, the data communication quality status can be judged as a whole, and the current degree of electromagnetic interference can be judged. If the target area is generally affected, it means that the electromagnetic interference is relatively serious, and targeted evaluation can be achieved.

[0060] Combined with the above application and the contents of the prior art:

[0061] When the base station and related communication equipment are in a communication state, the quality of data communication is particularly important. However, considering that there are large crowds of people and vehicles or the communication scenarios are complex, when the communication equipment is in a more complex electromagnetic environment, the data communication quality will also fluctuate greatly. Therefore, if there is an electromagnetic interference source near the communication equipment, in order to maintain the data communication quality, the electromagnetic interference source needs to be processed.

[0062] Before processing the electromagnetic interference source, it is necessary to screen and locate the electromagnetic interference source based on several sets of electromagnetic environment data. However, in the existing electromagnetic interference processing method, the electromagnetic interference source is usually directly removed after being screened out. However, this processing method is relatively simple, and the electromagnetic interference source is often in a dynamic state. There are many factors that affect the data communication quality. Taking a single processing method may not effectively reverse the communication quality.

[0063] Step 2: After identifying the communication scenarios within the low-quality point coverage area, select the corresponding electromagnetic data sampling mode according to the communication scenarios, and complete the electromagnetic environment data collection in combination with the constrained data sampling rate;

[0064] The step 2 includes the following contents:

[0065] Step 201: after receiving the interference measurement instruction, perform electromagnetic interference measurement at the low-quality point, select measurement equipment, such as a spectrum analyzer and a signal receiver; collect communication scene data at the low-quality point, such as the number and density of base stations, pedestrian flow, vehicle flow and population density in different time periods, etc.;

[0066] The convolutional neural network is trained with the labeled sample data to obtain a trained communication scene recognition model;

[0067] Using the communication scenario data in the low-quality point coverage area as input, the trained communication scenario recognition model is used to recognize the corresponding data communication scenario to obtain the corresponding communication scenario;

[0068] When in use, when electromagnetic environment collection is required, in different communication scenarios, when there is no additional electromagnetic interference, the data communication quality may also fluctuate greatly. Therefore, adopting different measurement strategies in different communication scenarios can ensure the reliability of collection and measurement data.

[0069] Step 202: After obtaining several electromagnetic data sampling modes through online deep search or offline collection and formulation, a sampling mode library is generated after aggregation; according to the correspondence between the sampling mode and the communication scenario, the corresponding electromagnetic data sampling mode is matched with the current communication scenario, for example, the device is set to continuous measurement mode to capture the changes of the electromagnetic environment in real time;

[0070] Step 203: After the sampling mode is selected, under dimensionless conditions, the data sampling rate Rcp is constrained according to the communication quality coefficient Qts, and the constraint method is as follows:

[0071]

[0072] Among them, Qts i is the data communication quality in the i-th sub-cycle, is the mean value of data communication quality in the first i sub-periods, Rcp max is the maximum acceptable data sampling rate;

[0073] Electromagnetic data sampling is performed according to a data sampling frequency that meets the constraint conditions, and the acquired electromagnetic environment data is aggregated to generate an electromagnetic environment data set;

[0074] When using, combine the contents in steps 201 to 203:

[0075] After determining the current communication scenario and electromagnetic data sampling mode, the data sampling rate is constrained according to the communication quality coefficient so that the electromagnetic data collection frequency and the actual sampling frequency are matched. This can avoid omissions or shortages in the data collection process and ensure the reliability of the judgment when the electromagnetic data is collected and the electromagnetic environment is judged.

[0076] Step 3: After determining the location of the interference source based on the electromagnetic environment data, identify the type of the interference source, construct the electromagnetic interference degree Tep based on the electromagnetic interference data of the interference source, and determine the target interference source based on the electromagnetic interference degree;

[0077] The step three includes the following contents:

[0078] Step 301: pre-process the data in the electromagnetic environment data set, determine the location of the interference source using a triangulation algorithm based on the measurement data at different low-quality points, and mark the location of the interference source on an electronic map;

[0079] After analyzing the electromagnetic environment data, the characteristic parameters of the interference source, such as frequency, waveform, and intensity, are obtained, and then the electromagnetic interference data set of the electromagnetic interference source is generated;

[0080] When in use, by selecting different measurement and collection positions, the location of the interference source can be determined through the triangulation positioning algorithm. After the interference source is determined, treatment measures can be taken to improve the current data communication environment;

[0081] Step 302: After training the convolutional neural network with the labeled sample data, a trained interference source identification model is obtained; the electromagnetic interference characteristic data is used as input, and the type of interference source is identified using the trained interference source identification model, such as industrial equipment or illegal emission source;

[0082] Under dimensionless conditions, the electromagnetic interference degree Tep is constructed after obtaining the current electromagnetic interference data in the following way:

[0083]

[0084] E i is the ith electromagnetic interference index, E i is the weighted value of the corresponding electromagnetic interference index, and its value falls within [0,1]; weight coefficient, 0≤F1≤1, 0≤F2≤1, 0≤F3≤1, and the weight coefficient can be obtained by referring to the hierarchical analysis method;

[0085] Pre-set interference thresholds based on historical data and the expected acceptable electromagnetic strength of interference sources;

[0086] If the obtained electromagnetic interference degree Tep exceeds the interference threshold, it means that the electromagnetic interference generated by the current electromagnetic interference source is relatively serious, and it is taken as the target interference source and its position is marked;

[0087] When used, combine the contents in steps 301 and 302:

[0088] After determining the type of interference source based on electromagnetic data, the electromagnetic interference degree Tep is constructed based on the electromagnetic environment data collected in advance. The interference intensity of the interference source can be judged based on the electromagnetic interference degree to determine whether the interference intensity of the interference source on data communication exceeds expectations. If it exceeds expectations, it will be used as a target interference source. By taking targeted measures for the screened target interference source, the impact of the target interference source on data communication can be reduced.

[0089] Step 4: After collecting electromagnetic environment data and communication quality data in the vicinity of the target interference source in real time, select a corresponding processing strategy for the interference source based on the relationship between the interference correlation degree and the correlation degree;

[0090] The step 4 includes the following contents:

[0091] Step 401, pre-set an observation period including several sub-periods, collect the electromagnetic interference degree Tep and the communication quality coefficient Qts in each sub-period, and construct the interference correlation Ltp between the electromagnetic interference degree Tep and the communication quality coefficient Qts in each sub-period in the following manner, wherein:

[0092] Perform linear normalization on the electromagnetic interference degree Tep and the communication quality coefficient Qts, and map the corresponding data values ​​to the interval [0,1] in the following manner:

[0093]

[0094] Among them, Tep i is the electromagnetic interference degree in the ith sub-period, Qts i is the communication quality coefficient in the ith sub-period, m is the number of sub-periods, ρ is the weight coefficient, 0≤ρ≤1;

[0095] After marking the observation period with the interference correlation degree Ltp, the correlation threshold [Ka, Kb] is constructed as follows:

[0096]

[0097] Where i = 1, 2, ..., m, m is the number of sub-periods, Ltp i is the interference correlation within the ith sub-period, Ltp a is the mean value of interference correlation;

[0098] When in use, after determining the target interference source, the interference correlation Ltp is generated through the electromagnetic interference degree Tep and the communication quality coefficient Qts. According to the correlation, the impact of the target interference source on the electromagnetic interference in the adjacent area can be judged. If the electromagnetic interference level exceeds expectations and the target interference source cannot be intervened in time, the data communication quality may be further affected;

[0099] Step 402: Select a corresponding processing strategy for the interference source according to the relationship between the interference correlation degree and the correlation degree, including:

[0100] If the interference correlation Ltp of the interference source is lower than the correlation threshold [Ka, Kb], the interference source will not be processed;

[0101] If the interference correlation degree Ltp is within the correlation threshold [Ka, Kb], adjust the operating frequency of the base station in the adjacent area of ​​the interference source to avoid overlapping with the interference source frequency, and adjust the transmission power of the base station to reduce the interference impact;

[0102] If the interference correlation Ltp is higher than the correlation threshold [Ka, Kb], install shielding facilities such as shielding covers and conductive cloth between the interference source and the interfered device; or adjust the installation positions of base stations and antennas in the vicinity of the interference source to avoid the interference source;

[0103] When used, the contents in steps 401 and 402 are combined;

[0104] When it is necessary to process the target interference source and maintain the communication quality in the target area, it is possible to judge whether the impact of electromagnetic interference on the communication quality exceeds expectations in the current stage based on the relationship between the interference correlation degree Ltp and the correlation threshold [Ka, Kb]. Different processing strategies can be adopted for the electromagnetic interference source based on the judgment result. At the same time, since the interference correlation degree and the correlation threshold are dynamic, dynamic management of the electromagnetic interference source can be achieved, making the processing method more targeted and realizing dynamic guarantee of the communication quality in the target area.

[0105] The Analytic Hierarchy Process (AHP) is a decision-making method that decomposes decision-related elements into levels such as goals, criteria, and plans, and conducts qualitative and quantitative analysis on this basis. It is particularly suitable for dealing with target systems with hierarchical and staggered evaluation indicators, and when the target value is difficult to describe quantitatively, the AHP is an effective decision-making tool.

[0106] The core of the hierarchical analysis method is to decompose the decision problem into multiple levels to form a hierarchical structure, which usually includes the target level, the criterion level, the sub-criterion level and the solution level. By solving the eigenvector of the judgment matrix, the priority weight of each element of each level to an element of the previous level is obtained, and the final weight of each alternative solution to the total goal is recursively merged by the weighted sum method, so as to find the optimal solution.

[0107] See also Figure 2 The present invention provides a comprehensive management platform for electromagnetic interference measurement, including:

[0108] The communication quality evaluation unit collects communication quality data in the target area and constructs a communication quality coefficient. Low-quality points are screened out in the target area based on the communication quality coefficient. If the density of low-quality points is higher than expected, an interference measurement instruction is issued.

[0109] The scene analysis unit, after identifying the communication scene in the low-quality point coverage area, selects the corresponding electromagnetic data sampling mode according to the communication scene, and completes the electromagnetic environment data collection in combination with the constrained data sampling rate;

[0110] The interference source analysis unit determines the location of the interference source based on the electromagnetic environment data and then identifies the type of the interference source. It constructs the electromagnetic interference degree based on the electromagnetic interference data of the interference source and determines the target interference source based on the electromagnetic interference degree.

[0111] The correlation processing unit collects electromagnetic environment data and communication quality data in the vicinity of the target interference source in real time, and selects a corresponding processing strategy for the interference source based on the relationship between the interference correlation degree and the correlation degree.

[0112] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0113] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0114] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0115] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only some logical function divisions. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0116] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0117] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0118] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks.

[0119] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A comprehensive management platform for electromagnetic interference measurement, characterized by: include, The communication quality evaluation unit collects communication quality data in the target area and constructs a communication quality coefficient. Low-quality points are screened out in the target area based on the communication quality coefficient. If the density of low-quality points is higher than expected, an interference measurement instruction is issued. The scene analysis unit, after identifying the communication scene in the low-quality point coverage area, selects the corresponding electromagnetic data sampling mode according to the communication scene, and completes the electromagnetic environment data collection in combination with the constrained data sampling rate; The interference source analysis unit determines the location of the interference source based on the electromagnetic environment data, identifies the type of the interference source, constructs the electromagnetic interference degree based on the electromagnetic interference data of the interference source, and determines the target interference source; The correlation processing unit collects electromagnetic environment data and communication quality data in the vicinity of the target interference source in real time, and selects a corresponding processing strategy for the interference source based on the relationship between the interference correlation degree and the correlation degree.

2. According to claim 1, a comprehensive management platform for electromagnetic interference measurement is characterized in that: Select several evenly distributed monitoring points in the target area, collect and record communication quality data at the monitoring points, including at least the connection establishment time, request response time and client processing time when data communication occurs, and generate a communication quality data set after aggregation.

3. The comprehensive management platform for electromagnetic interference measurement according to claim 2, characterized in that: A communication quality coefficient is generated from the communication quality data set. If the communication quality coefficient is lower than the communication quality threshold, the corresponding monitoring point is regarded as a low-quality point. The location information of the low-quality point is marked on the electronic map, and the density of the low-quality point is constructed.

4. The comprehensive management platform for electromagnetic interference measurement according to claim 3, characterized in that: Under dimensionless conditions, the communication quality coefficient Qts is generated from the communication quality data set in the following way: Weight coefficient, 0≤α≤1, 0≤β≤1, and α+β=1, St i is the connection establishment time on the i-th collection node, St a is its qualified standard value; Kt i is the request response time on the i-th collection node, Kt a is its qualified standard value; Xs is the median quality value, μXs is its expectation, and σXs is its standard deviation.

5. The comprehensive management platform for electromagnetic interference measurement according to claim 4, characterized in that: After receiving the interference measurement instruction, communication scene data collection is performed at the low-quality point; The communication scenario data in the low-quality point coverage area is used as input, and the trained communication scenario recognition model is used to identify the corresponding data communication scenario to obtain the corresponding communication scenario.

6. The comprehensive management platform for electromagnetic interference measurement according to claim 5, characterized in that: According to the correspondence between the sampling mode and the communication scenario, the corresponding electromagnetic data sampling mode is matched by the current communication scenario, and the data sampling rate is constrained according to the communication quality coefficient; Electromagnetic data sampling is performed at a data sampling frequency that meets the constraint conditions, and the acquired electromagnetic environment data is aggregated to generate an electromagnetic environment data set.

7. The comprehensive management platform for electromagnetic interference measurement according to claim 6, characterized in that: Based on the measurement data at different low-quality points, the location of the interference source is determined using a triangulation algorithm; After analyzing the electromagnetic environment data, the interference index data of the interference source is obtained, and the electromagnetic interference data set of the electromagnetic interference source is generated by summarizing.

8. The comprehensive management platform for electromagnetic interference measurement according to claim 7, characterized in that: Taking electromagnetic interference characteristic data as input, the type of interference source is identified using the trained interference source identification model, and the electromagnetic interference degree is constructed after obtaining the current electromagnetic interference data; If the acquired electromagnetic interference level exceeds the interference threshold, it is taken as the target interference source and its position is marked.

9. The comprehensive management platform for electromagnetic interference measurement according to claim 8, characterized in that: After collecting the electromagnetic interference degree and communication quality coefficient in each sub-period, the interference correlation is constructed. After marking the observation period with the interference correlation, the correlation threshold is constructed.

10. The comprehensive management platform for electromagnetic interference measurement according to claim 9, characterized in that: If the interference correlation of the interference source is lower than the correlation threshold, the interference source will not be processed; If the interference correlation is within the correlation threshold, adjust the operating frequency of the base station in the vicinity of the interference source to avoid overlapping with the interference source frequency, and adjust the transmission power of the base station; If the interference correlation is higher than the correlation threshold, install shielding facilities between the interference source and the interfered device, and adjust the installation positions of base stations and antennas in the vicinity of the interference source.

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