A method for evaluating the signal transmission quality of a communication device in a strong electric field environment

Abstract

The present invention discloses a method for evaluating the signal transmission quality of a communication device in a strong electric field environment, which relates to the technical field of digital information transmission. The method includes: obtaining the signal transmission data of each detection position in the target area during the target time period, where the signal transmission data includes multiple quality evaluation parameters; determining the parameter stability of each quality evaluation parameter of each detection position according to the signal transmission data of each detection position in the target time period; based on the parameter stability of each quality evaluation parameter of each detection position, classifying the detection positions at each moment during the target time period to form an equipotential line set, where the equipotential line set includes the equipotential lines at each moment during the target time period, and the equipotential line is composed of each detection position belonging to the same category; determining the transmission volatility of each detection position according to the equipotential line set; constructing a signal transmission heat map based on the transmission volatility of each detection position, and determining the quality evaluation result of the target communication device.

Description

Technical Field

[0001] The present invention relates to the technical field of digital information transmission, and particularly relates to a method for evaluating the signal transmission quality of a communication device in a strong electric field environment. Background Art

[0002] With the rapid development of China's mobile communication industry, the demand for communication devices such as base station antennas is increasing. However, the construction cost of traditional base station antenna carriers is relatively high and the construction period is relatively long. Therefore, installing communication devices such as base station antennas on the transmission line tower body can promote the sharing of infrastructure resources between the power and communication industries. However, due to the close installation of the base station antenna and the transmission line, the electromagnetic waves in the strong electric field environment may interfere with the communication device, resulting in problems such as signal attenuation and increased error rate. Therefore, it is necessary to evaluate the signal transmission quality of the communication device in the strong electric field environment.

[0003] In the existing method, signal evaluation parameters at multiple preset positions in the area near the shared tower are detected, and a signal transmission heat map is constructed by interpolation, so as to evaluate the signal transmission quality of the communication device on the shared tower in the strong electric field environment.

[0004] However, due to the interference of the electric field environment during the signal transmission process, it is easy to cause the signal transmission heat map constructed by the traditional interpolation method to be inaccurate, resulting in poor accuracy of the signal transmission quality evaluation. Summary of the Invention

[0005] An embodiment of the present invention provides a method for evaluating the signal transmission quality of a communication device in a strong electric field environment, which can improve the accuracy of the signal transmission quality evaluation.

[0006] An embodiment of the present invention provides a method for evaluating the signal transmission quality of a communication device in a strong electric field environment, including:

[0007] Obtain the signal transmission data of each detection position in the target area during the target time period. The target area is an area centered on the shared tower where the target communication device is located, and the signal transmission data includes multiple quality evaluation parameters;

[0008] Determine the parameter stability of each quality evaluation parameter of each detection position according to the signal transmission data of each detection position in the target time period;

[0009] Based on the parameter stability of each quality evaluation parameter of each detection position, classify the detection positions at each moment in the target time period, and form an equipotential line set. The equipotential line set includes the equipotential lines at each moment in the target time period, and the equipotential line is composed of each detection position belonging to the same category;

[0010] Determine the transmission volatility at each detection location according to the equipotential line set;

[0011] Construct a signal transmission heat map based on the transmission volatility at each detection location, and determine the quality evaluation result of the target communication device.

[0012] Further, determining the parameter stability of each quality evaluation parameter at each detection location according to the signal transmission data at each detection location within the target time period includes:

[0013] For each quality evaluation parameter at each detection location, respectively perform the following steps:

[0014] According to the signal transmission data at the target detection location within the target time period, determine the change consistency between the target quality evaluation parameter and the reference quality evaluation parameter in the target detection location, where the reference quality evaluation parameter is any one of the quality evaluation parameters other than the target quality evaluation parameter;

[0015] Based on each change consistency corresponding to the target quality evaluation parameter, form a consistency sequence corresponding to the target quality evaluation parameter;

[0016] Based on the consistency sequence, set the stability weight corresponding to the target quality evaluation parameter;

[0017] According to the stability weight, determine the parameter stability of the target quality evaluation parameter in the target detection location.

[0018] Further, determining the change consistency between the target quality evaluation parameter and the reference quality evaluation parameter in the target detection location according to the signal transmission data at the target detection location within the target time period includes:

[0019] Based on the signal transmission data at the target detection location within the target time period, obtain the target parameter value of the target quality evaluation parameter at each moment in the target detection location, and the reference parameter value of the reference quality evaluation parameter at each moment;

[0020] Based on each target parameter value and each reference parameter value, according to the difference between the first target parameter value of the target quality evaluation parameter at the z-th moment and the second target parameter value at the z-1-th moment, and the difference between the first reference parameter value of the reference quality evaluation parameter at the z-th moment and the second reference parameter value at the z-1-th moment, obtain a first calculated value, and the initial value of z is 1;

[0021] Obtain a second calculated value based on the difference between the third target parameter value of the target quality evaluation parameter at the (z + 1)-th moment and the first target parameter value at the z-th moment, and the difference between the third reference parameter value of the reference quality evaluation parameter at the (z + 1)-th moment and the first reference parameter value at the z-th moment;

[0022] Determine the consistency evaluation value at the z-th moment based on the first calculated value and the second calculated value;

[0023] Update the change consistency to the cumulative value of the change consistency and the consistency evaluation value at the z-th moment, where the initial value of the change consistency is 0;

[0024] Update z to z + 1, and return to iteratively execute: based on each of the target parameter values and each of the reference parameter values, obtain the corresponding calculated value according to the difference between the first target parameter value of the target quality evaluation parameter at the z-th moment and the second target parameter value at the (z - 1)-th moment, and the difference between the first reference parameter value of the reference quality evaluation parameter at the z-th moment and the second reference parameter value at the (z - 1)-th moment, until each moment within the target time period is traversed, and obtain the change consistency between the target quality evaluation parameter and the reference quality evaluation parameter at the target detection position.

[0025] Further, the determining the parameter stability of the target quality evaluation parameter at the target detection position according to the stability weight includes:

[0026] Calculate the average value of the target parameter values of the target quality evaluation parameter at the target detection position at each moment to obtain the target parameter mean value;

[0027] Multiply the reciprocal of the sum of the absolute value of the difference between the target parameter value of the target quality evaluation parameter at each moment and the target parameter mean value and the correction parameter by the stability weight to obtain the stability evaluation value of the target quality evaluation parameter at each moment;

[0028] Accumulate the stability evaluation values of the target quality evaluation parameter at each moment to obtain the parameter stability of the target quality evaluation parameter.

[0029] Further, the classifying the detection positions at each moment within the target time period based on the parameter stability of each of the quality evaluation parameters at each of the detection positions to form an equipotential line set includes:

[0030] Determine the data similarity between the first detection position and the second detection position at each moment according to the parameter stability of each of the quality evaluation parameters at the first detection position and the parameter stability of each of the quality evaluation parameters at the second detection position, where the first detection position and the second detection position are any two different detection positions among the detection positions;

[0031] Divide the first detection position and the second detection position with data similarity greater than the preset similarity threshold into the same category to obtain the category division results at each moment;

[0032] Based on the category division results at each moment, construct equipotential lines respectively to obtain the set of equipotential lines.

[0033] Further, the determining the data similarity between the first detection position and the second detection position at each moment according to the parameter stability of each of the quality evaluation parameters at the first detection position and the parameter stability of each of the quality evaluation parameters at the second detection position includes:

[0034] For each moment within the target time period, perform the following steps respectively:

[0035] Multiply the parameter stability of the nth quality evaluation parameter at the first detection position, the parameter stability of the nth quality evaluation parameter at the second detection position, and the absolute value of the difference between the parameter value of the nth quality evaluation parameter at the first detection position and the parameter value of the nth quality evaluation parameter at the second detection position at the target moment to obtain the similarity evaluation value of the nth quality evaluation parameter at the target moment, and the initial value of n is 1;

[0036] Update n to n + 1, and return to iteratively perform multiplying the parameter stability of the nth quality evaluation parameter at the first detection position, the parameter stability of the nth quality evaluation parameter at the second detection position, and the absolute value of the difference between the parameter value of the nth quality evaluation parameter at the first detection position and the parameter value of the nth quality evaluation parameter at the second detection position at the target moment until all the quality evaluation parameters are traversed;

[0037] Accumulate the similarity evaluation values of all the quality evaluation parameters at the target moment to obtain the data similarity between the first detection position and the second detection position at the target moment.

[0038] Further, the determining the transmission volatility of each detection position according to the set of equipotential lines includes:

[0039] Determine the fluctuation change values in the horizontal direction of each detection position according to the set of equipotential lines;

[0040] Determine the transmission volatility of each detection position according to the fluctuation change value in the horizontal direction of each detection position and the data similarity of adjacent positions of the detection position at each moment, where the adjacent positions include the previous position and the next position of the detection position in the equipotential line.

[0041] Further, the determining the fluctuation change value in the horizontal direction of each detection position according to the set of equipotential lines includes:

[0042] For each detection position, respectively perform the following steps:

[0043] Based on the set of equipotential lines, determine the slope variance of the equipotential line corresponding to the target detection position at each moment;

[0044] Multiply the slope variance of the equipotential line corresponding to the target detection position at each moment by the curve difference value of the target detection position at the corresponding moment, where the curve difference value is used to characterize the distance between the curve in the equipotential line of the target detection position at the corresponding moment and the curve in the equipotential line of the next moment, to obtain the fluctuation evaluation value of the target detection position at each moment;

[0045] Accumulate the fluctuation evaluation values of the target detection position at each moment to obtain the fluctuation change value in the horizontal direction of the target detection position.

[0046] Further, the determining the transmission volatility of each detection position according to the fluctuation change value in the horizontal direction of each detection position and the data similarity of adjacent positions of the detection position at each moment includes:

[0047] For each detection position, respectively perform the following steps:

[0048] Perform exponential function operations on the negative values of the sum of the data similarities between the target detection position and each adjacent position at each moment, respectively, to obtain the comprehensive similarity of the target detection position at each moment;

[0049] Accumulate the comprehensive similarities of the target detection position at each moment to obtain a third calculated value;

[0050] Multiply the third calculated value by the fluctuation change value in the horizontal direction of the target detection position to obtain the transmission volatility of the target detection position.

[0051] Further, the constructing a signal transmission heat map based on the transmission volatility of each detection position and determining the quality evaluation result of the target communication device includes:

[0052] Perform weighted interpolation operations with the transmission volatility of each detection position as the weight to construct the signal transmission heat map;

[0053] Mark the positions in the signal transmission heat map where the signal transmission intensity is greater than or equal to the corresponding signal transmission threshold as qualified transmission positions, and mark the positions in the signal transmission heat map where the signal transmission intensity is less than the corresponding signal transmission threshold as unqualified transmission positions to obtain the heat map marking result. Each of the signal transmission thresholds is determined according to the distance between each position and the shared iron tower;

[0054] Based on the heat map marking result, determine the quality evaluation result of the target communication device.

[0055] In the method for evaluating the signal transmission quality of a communication device in a strong electric field environment provided by an embodiment of the present invention, first obtain the signal transmission data of each detection position in the target area during the target time period, and then determine the parameter stability of each quality evaluation parameter of each detection position according to the signal transmission data of each detection position during the target time period. Then, according to the parameter stability of each quality evaluation parameter of each detection position, classify the detection positions at each moment during the target time period to form an equipotential line set. According to the equipotential line set, determine the transmission volatility of each detection position. Finally, construct a signal transmission heat map based on the transmission volatility of each detection position, thereby determining the quality evaluation result of the target communication device. In this way, according to the signal transmission data of each detection position in the target area during the target time period, the interference of the electric field environment during the signal transmission process is quantified to obtain the transmission volatility of each detection position. Then, according to the transmission volatility of each detection position, a signal transmission heat map is constructed, which can avoid the problem of inaccurate signal transmission heat maps constructed by traditional interpolation methods, and further improve the evaluation accuracy of signal transmission quality. Brief Description of the Drawings

[0056] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0057] Figure 1 It is a schematic flowchart of the first method for evaluating the signal transmission quality of a communication device in a strong electric field environment provided by an embodiment of the present invention;

[0058] Figure 2 It is a schematic diagram of an equipotential line provided by an embodiment of the present invention;

[0059] Figure 3 It is a schematic flowchart of the second method for evaluating the signal transmission quality of a communication device in a strong electric field environment provided by an embodiment of the present invention;

[0060] Figure 4 A schematic flowchart of a third method for evaluating the signal transmission quality of a communication device in a strong electric field environment provided by an embodiment of the present invention;

[0061] Figure 5 A schematic flowchart of a fourth method for evaluating the signal transmission quality of a communication device in a strong electric field environment provided by an embodiment of the present invention. Specific embodiments

[0062] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following describes in detail a method for evaluating the signal transmission quality of a communication device in a strong electric field environment proposed according to the present invention, its specific embodiments, structures, features and effects in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures or characteristics in one or more embodiments can be combined in any suitable form.

[0063] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present invention belongs.

[0064] It should be noted that the acquisition, storage, use, processing, etc. of data in the technical solution of the present invention all comply with the relevant regulations of laws and regulations.

[0065] It should be noted that in the embodiments of the present invention, some industry-existing solutions such as certain software, components, models, etc. may be mentioned. They should be considered exemplary. The purpose is only to illustrate the feasibility in the implementation of the technical solution of the present invention, but it does not mean that the applicant has already or necessarily used this solution.

[0066] In the existing method, signal evaluation parameters at multiple preset positions in the area near the shared iron tower are detected, and a signal transmission heat map is constructed by interpolation, so as to evaluate the signal transmission quality of the communication device on the shared iron tower in a strong electric field environment. However, due to the interference of the electric field environment during the signal transmission process, it is easy to cause the signal transmission heat map constructed by the traditional interpolation method to be inaccurate, resulting in poor evaluation accuracy of the signal transmission quality.

[0067] The object of the present invention is to provide a method for evaluating the signal transmission quality of a communication device in a strong electric field environment. In the method for evaluating the signal transmission quality of a communication device in a strong electric field environment provided by an embodiment of the present invention, first, signal transmission data of each detection position in a target area within a target time period is obtained. Then, according to the signal transmission data of each detection position in the target time period, the parameter stability of each quality evaluation parameter of each detection position is determined. Then, according to the parameter stability of each quality evaluation parameter of each detection position, the detection positions at each moment within the target time period are classified into categories to form an equipotential line set. According to the equipotential line set, the transmission volatility of each detection position is determined. Finally, a signal transmission heat map is constructed based on the transmission volatility of each detection position, so as to determine the quality evaluation result of the target communication device. In this way, according to the signal transmission data of each detection position in the target area within the target time period, the interference of the electric field environment during the signal transmission process is quantified, and the transmission volatility of each detection position is obtained. Then, according to the transmission volatility of each detection position, a signal transmission heat map is constructed, which can avoid the problem that the signal transmission heat map constructed by the traditional interpolation method is inaccurate, and further improve the evaluation accuracy of the signal transmission quality.

[0068] The following introduces a specific embodiment of a method for evaluating the signal transmission quality of a communication device in a strong electric field environment provided by an embodiment of the present invention.

[0069] Figure 1 A flowchart of a first method for evaluating the signal transmission quality of a communication device in a strong electric field environment is provided. The method for evaluating the signal transmission quality of a communication device in a strong electric field environment can be applied to a server, and the method for evaluating the signal transmission quality of a communication device in a strong electric field environment can include the following S101 to S105.

[0070] S101, obtain the signal transmission data of each detection position in the target area within the target time period, where the target area is an area formed with the shared tower where the target communication device is located as the center, and the signal transmission data includes multiple quality evaluation parameters.

[0071] In this embodiment, the target area is a circular area or a rectangular area constructed by extending a preset length with the shared tower where the target communication device is located as the center. The shared tower is used to represent that the target communication device is installed on the tower body of the transmission line tower. For example, a circular area with the shared tower where the target communication device is located as the center and a radius of 500 meters can be constructed as the target area.

[0072] The signal transmission data includes multiple quality evaluation parameters, and the quality evaluation parameters include at least one of signal strength, signal-to-noise ratio, bit error rate, and delay.

[0073] As an example, signal transmission is carried out through the target communication device on the shared iron tower, and the signal reception device at each preset detection position in the target area is used to receive the signal transmission data sent by the target communication device in real time during the target time period.

[0074] S102. Determine the parameter stability of each quality evaluation parameter at each detection position according to the signal transmission data at each detection position during the target time period.

[0075] In this embodiment, the parameter stability is used to reflect the overall signal fluctuation at the detection position. The smaller the parameter stability of the quality evaluation parameter, the greater the possibility that the quality evaluation parameter is interfered by the electric field environment.

[0076] As an example, the server calculates statistics such as the standard deviation or coefficient of variation of each quality evaluation parameter at each detection position during the target time period to evaluate the parameter stability of the quality evaluation parameter.

[0077] S103. Based on the parameter stability of each quality evaluation parameter at each detection position, classify the detection positions at each moment during the target time period to form an equipotential line set. The equipotential line set includes the equipotential lines at each moment during the target time period, and the equipotential line is composed of the detection positions belonging to the same category.

[0078] In this embodiment, the detection positions of the same category have similarity in the parameter stability of the quality evaluation parameter, and the detection positions of the same category form an equipotential line. As Figure 2 shown, a schematic diagram of an equipotential line is provided. Among them, the shared iron tower is located at the center of the equipotential line, and each equipotential line includes the detection positions belonging to the same category.

[0079] As an example, the server corrects the parameter values of each quality evaluation parameter at detection position A at time T1 with the parameter stability of each quality evaluation parameter at detection position A as the weight to obtain the corrected parameter values of each quality evaluation parameter; at the same time, corrects the parameter values of each quality evaluation parameter at detection position B at time T1 with the parameter stability of each quality evaluation parameter at detection position B as the weight to obtain the corrected parameter values of each quality evaluation parameter; then calculates the Jaccard similarity between detection position A and detection position B at time T1 according to the corrected parameter values of each quality evaluation parameter at detection position A and the corrected parameter values of each quality evaluation parameter at detection position B.

[0080] In the above manner, calculate the Jaccard similarity between each detection position at time T1, and use the Jaccard similarity as the distance to divide each detection position at time T1 into different categories using a clustering algorithm (such as K-means, DBSCAN, etc.). Then connect the detection positions of the same category to form an equipotential line, and the equipotential lines at time T1 can be obtained.

[0081] For each moment within the target time period, perform the above operations respectively to obtain the equipotential lines at each moment. Finally, summarize the equipotential lines at each moment to form an equipotential line set.

[0082] S104. Determine the transmission volatility of each detection position according to the equipotential line set.

[0083] In this embodiment, the transmission volatility is used to provide a basis for constructing a signal transmission heat map subsequently.

[0084] As an example, based on the equipotential line set, the server calculates, for each detection position, its fluctuation situation relative to each equipotential line to which it belongs within the entire target time period, that is, the transmission volatility of each detection position. Specifically, it can be achieved by calculating indicators such as the deviation and standard deviation of the detection position from the equipotential line average value.

[0085] Furthermore, according to the transmission volatility of each detection position, the detection positions can be divided into different transmission volatility levels such as high volatility, medium volatility, and low volatility.

[0086] S105. Construct a signal transmission heat map based on the transmission volatility of each detection position, and determine the quality evaluation result of the target communication device.

[0087] In this embodiment, the server divides the target area into grids, and according to the transmission volatility levels of the detection positions within each grid, uses different colors or brightness levels to represent different volatility levels, thereby drawing a signal transmission heat map.

[0088] Then, according to the distribution of the signal transmission heat map, analyze the signal transmission quality of the target communication device within the target area. For example, if the high volatility areas are concentrated near the communication device, it indicates that there may be signal transmission problems with the communication device; if the volatility of the entire area is low, it indicates that the communication device has good performance.

[0089] In the method for evaluating the signal transmission quality of a communication device provided in this embodiment under a strong electric field environment, first obtain the signal transmission data of each detection position in the target area during the target time period, and then determine the parameter stability of each quality evaluation parameter of each detection position according to the signal transmission data of each detection position in the target time period. Then, according to the parameter stability of each quality evaluation parameter of each detection position, classify the detection positions at each moment during the target time period to form an equipotential line set. According to the equipotential line set, determine the transmission volatility of each detection position. Finally, construct a signal transmission heat map based on the transmission volatility of each detection position, so as to determine the quality evaluation result of the target communication device. In this way, according to the signal transmission data of each detection position in the target area during the target time period, the interference of the electric field environment during the signal transmission process is quantified, and the transmission volatility of each detection position is obtained. Thus, according to the transmission volatility of each detection position, a signal transmission heat map is constructed, which can avoid the problem of inaccurate signal transmission heat maps constructed by traditional interpolation methods, and further improve the evaluation accuracy of signal transmission quality.

[0090] As an alternative embodiment, as Figure 3 shown, S102 may specifically include:

[0091] For each quality evaluation parameter of each detection position, respectively execute the following S301 to S304:

[0092] S301, according to the signal transmission data of the target detection position during the target time period, determine the change consistency between the target quality evaluation parameter and the reference quality evaluation parameter in the target detection position, and the reference quality evaluation parameter is any one of the quality evaluation parameters other than the target quality evaluation parameter;

[0093] S302, based on each change consistency corresponding to the target quality evaluation parameter, form a consistency sequence corresponding to the target quality evaluation parameter;

[0094] S303, based on the consistency sequence, set the stability weight corresponding to the target quality evaluation parameter;

[0095] S304, according to the stability weight, determine the parameter stability of the target quality evaluation parameter in the target detection position.

[0096] In this embodiment, the change consistency is used to characterize the degree of change consistency between the target quality evaluation parameter and the reference quality evaluation parameter in the target detection position. Among them, the greater the change consistency, the greater the stability weight corresponding to the target quality evaluation parameter during subsequent calculations.

[0097] The consistency sequence is a sequence composed of the change consistencies corresponding to the target quality evaluation parameter, and the consistency sequence includes each change consistency corresponding to the target quality evaluation parameter.

[0098] As an example, the following steps are respectively executed for each quality evaluation parameter at each detection position:

[0099] The server selects one quality evaluation parameter from the quality evaluation parameters at the target detection position as the target quality evaluation parameter, and determines the remaining quality evaluation parameters except the target quality evaluation parameter as reference quality evaluation parameters.

[0100] Then, the change consistency is respectively determined between the target quality evaluation parameter and each reference quality evaluation parameter. Specifically, first calculate the change of the target quality evaluation parameter at each time point (or time interval); meanwhile, calculate the change of the reference quality evaluation parameter at the same time point (or time interval). Use correlation analysis (such as Pearson correlation coefficient, Spearman rank correlation coefficient, etc.) or time series analysis method to evaluate the change consistency between the target quality evaluation parameter and the reference quality evaluation parameter. If the change trends of the two are similar, the change consistency is high; if the trends are opposite or inconsistent, the change consistency is low.

[0101] Then, the change consistencies corresponding to the target quality evaluation parameter are arranged in order to form a consistency sequence corresponding to the target quality evaluation parameter. . Among them, is used to characterize the change consistency between the target quality evaluation parameter j of the target detection position i and the first reference quality evaluation parameter, is used to characterize the change consistency between the target quality evaluation parameter j of the target detection position i and the second reference quality evaluation parameter, is used to characterize the change consistency between the target quality evaluation parameter j of the target detection position i and the third reference quality evaluation parameter.

[0102] Then, based on the consistency sequence, the stability weight corresponding to the target quality evaluation parameter of the target detection position is set by the following formula 1:

[0103] Formula 1

[0104] In the formula, is used to characterize the stability weight corresponding to the target quality evaluation parameter j of the target detection position i, is used to characterize the change consistency between the target quality evaluation parameter j of the target detection position i and the a-th reference quality evaluation parameter, and N is used to characterize the total number of quality evaluation parameters. is used to characterize constructing a consistency sequence with the a-th reference quality evaluation parameter as the target quality evaluation parameter at the target detection position i, and then calculating the variance of the change consistency in the consistency sequence corresponding to the a-th reference quality evaluation parameter.

[0105] Among them, The larger it is, it indicates that the degree of change consistency between the a-th reference quality evaluation parameter and other quality evaluation parameters is worse. Therefore, the smaller the stability weight obtained according to the a-th reference quality evaluation parameter.

[0106] Finally, arrange the target parameter values of the target quality evaluation parameters at each moment in the signal transmission data of the target detection position within the target time period in chronological order to form the time series data corresponding to the target quality evaluation parameter. And apply the stability weight corresponding to the target quality evaluation parameter to the time series data to obtain the weighted time series data. According to the weighted time series data, evaluate the stability of the target quality evaluation parameter. If the fluctuation of the weighted data is small, it indicates that the target quality evaluation parameter is relatively stable; if the fluctuation is large, it indicates that its stability is poor.

[0107] Through this embodiment, according to the signal transmission data of the target detection position within the target time period, determine the change consistency between the target quality evaluation parameter in the target detection position and the reference quality evaluation parameter. Then, based on each change consistency corresponding to the target quality evaluation parameter, set the stability weight corresponding to the target quality evaluation parameter. Finally, based on the stability weight, determine the parameter stability of the target quality evaluation parameter in the target detection position. In this way, the parameter stability of each quality evaluation parameter can be accurately determined, which helps to subsequently determine the transmission volatility of each detection position according to the parameter stability of the quality evaluation parameter, and further improve the evaluation accuracy of the signal transmission quality.

[0108] As an optional embodiment, S301 may specifically include:

[0109] Based on the signal transmission data of the target detection position within the target time period, obtain the target parameter values of the target quality evaluation parameter in the target detection position at each moment, and the reference parameter values of the reference quality evaluation parameter at each moment;

[0110] Based on each target parameter value and each reference parameter value, according to the difference between the first target parameter value of the target quality evaluation parameter at the z-th moment and the second target parameter value at the z - 1-th moment, and the difference between the first reference parameter value of the reference quality evaluation parameter at the z-th moment and the second reference parameter value at the z - 1-th moment, obtain the first calculated value, and the initial value of z is 1;

[0111] According to the difference between the third target parameter value of the target quality evaluation parameter at the z + 1-th moment and the first target parameter value at the z-th moment, and the difference between the third reference parameter value of the reference quality evaluation parameter at the z + 1-th moment and the first reference parameter value at the z-th moment, obtain the second calculated value;

[0112] Based on the first calculated value and the second calculated value, determine the consistency evaluation value at the z-th moment;

[0113] Update the change consistency to the cumulative value of the change consistency and the consistency evaluation value at the z-th moment, and the initial value of the change consistency is 0;

[0114] Update z to z + 1, and return to iteratively execute based on each target parameter value and each reference parameter value, according to the difference between the first target parameter value of the target quality evaluation parameter at the z-th moment and the second target parameter value at the z - 1-th moment, and the difference between the first reference parameter value of the reference quality evaluation parameter at the z-th moment and the second reference parameter value at the z - 1-th moment, to obtain the corresponding calculated value, until each moment within the target time period is traversed, and the change consistency between the target quality evaluation parameter and the reference quality evaluation parameter at the target detection position is obtained.

[0115] In this embodiment, the change consistency between the target quality evaluation parameter and the reference quality evaluation parameter at the target detection position can be specifically determined by the following formula 2:

[0116] Formula 2

[0117] In the formula, is used to represent the change consistency between the target quality evaluation parameter j of the target detection position i and the reference quality evaluation parameter j + 1, is used to represent the difference between the first target parameter value of the target quality evaluation parameter j at the z-th moment and the second target parameter value at the z - 1-th moment, is used to represent the difference between the first reference parameter value of the reference quality evaluation parameter j + 1 at the z-th moment and the second reference parameter value at the z - 1-th moment. is used to represent the difference between the third target parameter value of the target quality evaluation parameter j at the z + 1-th moment and the first target parameter value at the z-th moment, is used to represent the difference between the third reference parameter value of the reference quality evaluation parameter j + 1 at the z + 1-th moment and the first reference parameter value at the z-th moment. exp is used to represent the exponential function operation, and M is used to represent the total number of moments in the target time period; represents the correction parameter, which is used to prevent the denominator from being zero. In this embodiment, it is set .

[0118] Among them, according to the parameter values of the target quality evaluation parameter j and the reference quality evaluation parameter j + 1 at each moment, the change consistency between the target quality evaluation parameter j and the reference quality evaluation parameter j + 1 can be evaluated; Used to characterize the consistency evaluation value at the z-th moment. The greater the consistency evaluation value at each moment, the greater the change consistency between the target quality evaluation parameter j and the reference quality evaluation parameter j + 1.

[0119] Through this embodiment, according to the signal transmission data of the target detection position within the target time period, the change consistency between the target quality evaluation parameter and the reference quality evaluation parameter in the target detection position can be accurately calculated. This helps to subsequently determine the parameter stability of the target quality evaluation parameter in the target detection position based on the change consistency, and further improve the evaluation accuracy of the signal transmission quality.

[0120] As an alternative embodiment, S304 may specifically include:

[0121] Calculate the average value of the target parameter values of the target quality evaluation parameter in the target detection position at each moment to obtain the target parameter mean value;

[0122] Multiply the reciprocal of the sum of the absolute value of the difference between the target parameter value of the target quality evaluation parameter at each moment and the target parameter mean value and the correction parameter by the stability weight to obtain the stability evaluation value of the target quality evaluation parameter at each moment;

[0123] Accumulate the stability evaluation values of the target quality evaluation parameter at each moment to obtain the parameter stability of the target quality evaluation parameter.

[0124] In this embodiment, the parameter stability of the target quality evaluation parameter can be specifically determined by the following formula 3:

[0125] Formula 3

[0126] In the formula, Used to characterize the parameter stability of the target quality evaluation parameter j in the target detection position i, Used to characterize the stability weight corresponding to the target quality evaluation parameter j of the target detection position i. Used to characterize the target parameter value of the target quality evaluation parameter j at the z-th moment, Used to characterize the target parameter mean value of the target quality evaluation parameter j, and M is used to characterize the total number of moments in the target time period; Represents the correction parameter, used to prevent the denominator from being zero. In this embodiment, it is set .

[0127] Wherein, Used to characterize the stability evaluation value of the target quality evaluation parameter j at the z-th moment. The greater the stability evaluation value at each moment, the greater the parameter stability of the target quality evaluation parameter j.

[0128] Through this embodiment, according to the stability weight, the parameter stability of the target quality evaluation parameters in the target detection position can be accurately determined. In this way, it helps to determine the transmission volatility of each detection position according to the parameter stability of the quality evaluation parameters subsequently, and further improves the evaluation accuracy of the signal transmission quality.

[0129] As an alternative embodiment, as Figure 4 shown, S103 may specifically include the following S401 to S403:

[0130] S401, determine the data similarity between the first detection position and the second detection position at each moment according to the parameter stability of the quality evaluation parameters of the first detection position and the parameter stability of the quality evaluation parameters of the second detection position, where the first detection position and the second detection position are any two different detection positions among the detection positions;

[0131] S402, divide the first detection position and the second detection position with data similarity greater than the preset similarity threshold into the same category to obtain the category division results at each moment;

[0132] S403, respectively construct equipotential lines based on the category division results at each moment to obtain an equipotential line set.

[0133] In this embodiment, the preset similarity threshold is used to represent the judgment condition for determining whether two detection positions belong to the same category.

[0134] As an example, the server corrects the parameter values of the quality evaluation parameters of the first detection position at time T1 with the parameter stability of the quality evaluation parameters of the first detection position as the weight to obtain the corrected parameter values of the quality evaluation parameters; at the same time, corrects the parameter values of the quality evaluation parameters of the second detection position at time T1 with the parameter stability of the quality evaluation parameters of the second detection position as the weight to obtain the corrected parameter values of the quality evaluation parameters; then, according to the corrected parameter values of the quality evaluation parameters of the first detection position and the corrected parameter values of the quality evaluation parameters of the second detection position, uses the cosine similarity or Pearson correlation coefficient to calculate the data similarity between the first detection position and the second detection position at time T1.

[0135] Then, set a preset similarity threshold and compare each data similarity with this preset similarity threshold. If the data similarity between two detection positions at time T1 is greater than the preset similarity threshold, then divide them into the same category at time T1. In this way, the category division result at time T1 can be obtained.

[0136] In the above manner, calculate the classification results at each moment. Finally, based on the classification results at each moment, equipotential lines are constructed respectively. Specifically, convert the classification results at each time point into a format suitable for drawing equipotential lines, that is, map the detection positions at each time point to spatial coordinates. And select an appropriate interpolation method (such as linear interpolation, bilinear interpolation, radial basis function interpolation, etc.) to construct smooth equipotential lines.

[0137] Through this embodiment, based on the parameter stability of each quality evaluation parameter at each detection position, accurate classification of the detection positions at each moment within the target time period is performed, thereby forming a set of equipotential lines. In this way, it helps to determine the transmission volatility of each detection position according to the set of equipotential lines subsequently. Thus, the interference of the electric field environment during the signal transmission process can be quantified, and the accuracy of evaluating the signal transmission quality can be improved.

[0138] As an alternative embodiment, S401 may specifically include:

[0139] For each moment within the target time period, the following steps are respectively executed:

[0140] Multiply the parameter stability of the nth quality evaluation parameter at the first detection position, the parameter stability of the nth quality evaluation parameter at the second detection position, and the absolute value of the difference between the parameter value of the nth quality evaluation parameter at the first detection position and the parameter value of the nth quality evaluation parameter at the second detection position at the target moment to obtain the similarity evaluation value of the nth quality evaluation parameter at the target moment, and the initial value of n is 1;

[0141] Update n to n + 1, and return to iteratively execute multiplying the parameter stability of the nth quality evaluation parameter at the first detection position, the parameter stability of the nth quality evaluation parameter at the second detection position, and the absolute value of the difference between the parameter value of the nth quality evaluation parameter at the first detection position and the parameter value of the nth quality evaluation parameter at the second detection position at the target moment until all quality evaluation parameters are traversed;

[0142] Accumulate the similarity evaluation values of each quality evaluation parameter at the target moment to obtain the data similarity between the first detection position and the second detection position at the target moment.

[0143] In this embodiment, the data similarity between the first detection position and the second detection position at the target moment can be specifically determined by the following formula 4:

[0144] Formula 4

[0145] In the formula, is used to characterize the data similarity between the ith detection position and the (i + 1)th detection position at the target moment, The parameter stability of the nth quality evaluation parameter for characterizing the (i + 1)th detection position The parameter stability of the nth quality evaluation parameter for characterizing the ith detection position. The parameter value of the nth quality evaluation parameter for characterizing the ith detection position at the target time The parameter value of the nth quality evaluation parameter for characterizing the (i + 1)th detection position at the target time. N is used to characterize the total number of quality evaluation parameters.

[0146] Wherein, The similarity evaluation value corresponding to the nth quality evaluation parameter for characterizing the ith detection position and the (i + 1)th detection position at the target time. In the case where the similarity evaluation values corresponding to each quality evaluation parameter are larger, the final data similarity is larger.

[0147] Through this embodiment, according to the parameter stability of each quality evaluation parameter of the first detection position and the parameter stability of each quality evaluation parameter of the second detection position, the data similarity between the first detection position and the second detection position at each moment is determined. In this way, it helps to perform category division according to the data similarity subsequently, thereby constructing equipotential lines, and further improving the evaluation accuracy of signal transmission quality.

[0148] As an alternative embodiment, as Figure 5 shown, S104 may specifically include the following S501 to S502:

[0149] S501, determine the lateral fluctuation change value of each detection position according to the equipotential line set;

[0150] S502, determine the transmission volatility of each detection position according to the lateral fluctuation change value of each detection position and the data similarity of adjacent positions of the detection position at each moment. The adjacent positions include the previous position and the next position of the detection position in the equipotential line.

[0151] In this embodiment, for each detection position, the lateral fluctuation change value can be determined by comparing the parameter values of each quality evaluation parameter of this detection position with those of adjacent positions in the equipotential line. Specifically, for each detection position, the following steps are respectively executed:

[0152] For each quality evaluation parameter, calculate the difference between the quality evaluation parameter of this detection position and the previous detection position in the equipotential line, and the difference between the quality evaluation parameter of this detection position and the next detection position in the equipotential line respectively, and calculate the average value of the difference, then the average difference of each quality evaluation parameter can be obtained. Then, accumulate the average differences of each quality evaluation parameter, and the lateral fluctuation change value of the detection positions in an equipotential line can be obtained.

[0153] Then, for the adjacent positions of the detection position in the equipotential line, the data similarity between the two adjacent positions is calculated by the above formula 4. The lateral fluctuation change value of the detection position is combined with the data similarity of its adjacent positions to determine the transmission volatility of the detection position in an equipotential line. Specifically, the lateral fluctuation change value and the data similarity can be combined by weighted summation or product to obtain a comprehensive transmission volatility index.

[0154] Finally, the transmission volatility of the detection position in each equipotential line in the equipotential line set is accumulated to obtain the overall transmission volatility of the detection position. The higher the transmission volatility, the more drastic the change of the data value of the detection position, and the lower the correlation with the adjacent position; conversely, it means that the data value of the detection position is relatively stable and has a high correlation with the adjacent position.

[0155] Through this embodiment, the lateral fluctuation change value of each detection position is determined according to the set of equipotential lines. Then, according to the lateral fluctuation change value of each detection position and the data similarity of the adjacent positions of the detection position at each time, the transmission volatility of each detection position can be accurately determined. In this way, it is helpful to construct a signal transmission heat map according to the transmission volatility of each detection position, which can avoid the problem of inaccurate signal transmission heat map constructed by traditional interpolation method, thereby improving the accuracy of signal transmission quality evaluation.

[0156] As an optional embodiment, S501 may specifically include:

[0157] For each detection position, perform the following steps:

[0158] Based on the set of equipotential lines, determine the slope variance of the equipotential lines corresponding to the target detection position at each time;

[0159] The slope variance of the equipotential line corresponding to the target detection position at each moment is multiplied by the curve difference value of the target detection position at the corresponding moment to obtain the fluctuation evaluation value of the target detection position at each moment. The curve difference value is used to characterize the distance between the curve in the equipotential line of the target detection position at the corresponding moment and the curve in the equipotential line at the next moment;

[0160] The fluctuation evaluation values ​​of the target detection position at each time are accumulated to obtain the lateral fluctuation change value of the target detection position.

[0161] In this embodiment, the lateral fluctuation change value of the target detection position can be determined by the following formula 5:

[0162] Formula 5

[0163] In the formula, Used to characterize the fluctuation change value in the horizontal direction of the target detection position i, and M is used to characterize the total number of moments in the target time period. Used to characterize the slope variance of the equipotential line corresponding to the target detection position at the z-th moment, that is, the value obtained by calculating the variance of the slopes of the fitting lines formed by each adjacent two detection positions in the equipotential line corresponding to the target detection position at the z-th moment. Used to characterize the curve difference value of the target detection position at the z-th moment.

[0164] Specifically, the curve difference value of the target detection position at the z-th moment can be specifically determined by the following formula 6:

[0165] Formula 6

[0166] In the formula, Used to characterize the curve difference value of the target detection position at the z-th moment, Used to characterize the curve in the equipotential line of the target detection position at the z-th moment, Used to characterize the curve in the equipotential line of the target detection position at the z + 1-th moment, and DTW is used to represent the calculation of dynamic time warping (DTW).

[0167] Through this embodiment, according to the slope variance of the equipotential line corresponding to the target detection position at each moment, and the curve difference value of the target detection position at each moment, the fluctuation change value in the horizontal direction of the target detection position can be accurately calculated. In this way, it helps to calculate the transmission volatility of the target detection position according to the fluctuation change value in the horizontal direction of the target detection position, and can improve the evaluation accuracy of the signal transmission quality.

[0168] As an optional embodiment, S502 may specifically include:

[0169] For each detection position, the following steps are respectively executed:

[0170] Perform exponential function operations on the negative values of the sum of the data similarities between the target detection position at each moment and each adjacent position respectively, to obtain the comprehensive similarity of the target detection position at each moment;

[0171] Accumulate the comprehensive similarities of the target detection position at each moment to obtain a third calculated value;

[0172] Multiply the third calculated value by the fluctuation change value in the horizontal direction of the target detection position to obtain the transmission volatility of the target detection position.

[0173] In this embodiment, the transmission volatility of the target detection position can be specifically determined by the following formula 7:

[0174] Formula 7

[0175] In the formula, is used to characterize the transmission volatility of the target detection position i, is used to characterize the fluctuation change value in the horizontal direction of the target detection position i. is used to characterize the data similarity between the target detection position i and the (i - 1)-th detection position at the z-th moment, is used to characterize the data similarity between the target detection position i and the (i + 1)-th detection position at the z-th moment. exp is used to represent the exponential function operation, and M is used to represent the total number of moments in the target time period.

[0176] Among them, is used to characterize the comprehensive similarity of the target detection position i at the z-th moment, which is determined by the data similarity between the target detection position and the previous detection position on the equipotential line, and the data similarity between the target detection position and the next detection position on the equipotential line. In the case where the comprehensive similarity of the target detection position at each moment is greater, the transmission volatility of the target detection position is greater.

[0177] Through this embodiment, according to the fluctuation change value in the horizontal direction of each detection position and the data similarity of the adjacent positions of the detection position at each moment, the transmission volatility of each detection position can be determined. In this way, it helps to construct a signal transmission heat map according to the transmission volatility of each detection position subsequently, and can avoid the problem that the signal transmission heat map constructed by the traditional interpolation method is inaccurate, thereby improving the evaluation accuracy of the signal transmission quality.

[0178] As an optional embodiment, S105 may specifically include:

[0179] Perform weighted interpolation operation with the transmission volatility of each detection position as the weight to construct a signal transmission heat map;

[0180] Mark the positions in the signal transmission heat map where the signal transmission intensity is greater than or equal to the corresponding signal transmission threshold as qualified transmission positions, and mark the positions in the signal transmission heat map where the signal transmission intensity is less than the corresponding signal transmission threshold as unqualified transmission positions to obtain a heat map marking result, and each signal transmission threshold is determined according to the distance between each position and the shared iron tower;

[0181] Based on the heat map marking result, determine the quality evaluation result of the target communication device.

[0182] In this embodiment, the server sets corresponding weights according to the transmission volatility of each detection location. Specifically, the greater the transmission volatility, the lower the weight of this detection location; the smaller the transmission volatility, the higher the weight of this detection location. Select a suitable interpolation method (such as bilinear interpolation, nearest neighbor interpolation, etc.), and calculate the signal transmission intensity of the unknown location according to the signal transmission intensity and its weight of the known detection location. And map the calculated signal transmission intensity value onto the signal transmission heat map. Usually, the size of the volatility is represented by the depth of the color. The darker the color, the greater the signal transmission intensity; the lighter the color, the smaller the signal transmission intensity.

[0183] Then, calculate the distance between each location and the shared iron tower, and set a signal transmission threshold for each location according to the distance and the preset rule (the closer the distance, the higher the threshold; the farther the distance, the lower the threshold). Mark the area where the signal transmission volatility in the signal transmission heat map is greater than or equal to the threshold of the corresponding location as the qualified transmission location; mark the area where the signal transmission volatility in the signal transmission heat map is less than the threshold of the corresponding location as the unqualified transmission location.

[0184] Finally, calculate the proportion of the qualified transmission location in the total area, and the quality evaluation result of the target communication device can be obtained.

[0185] Through this embodiment, weighted interpolation operation is performed with the transmission volatility of each detection location as the weight to construct a signal transmission heat map. It can avoid the problem that the signal transmission heat map constructed by the traditional interpolation method is inaccurate, and thus can improve the evaluation accuracy of the signal transmission quality.

[0186] It should be clear that the present invention is not limited to the specific configurations and processes described above and shown in the figures. For the sake of brevity, the detailed description of known methods is omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of the present invention is not limited to the specific steps described and shown. Those skilled in the art can make various changes, modifications, and additions, or change the order between steps after understanding the spirit of the present invention.

[0187] It should also be noted that the exemplary embodiments mentioned in the present invention describe some methods or systems based on a series of steps or devices. However, the present invention is not limited to the order of the above steps, that is, the steps can be executed in the order mentioned in the embodiments, or different from the order in the embodiments, or several steps can be executed simultaneously.

[0188] As described above, this is only a specific implementation manner of the present invention. Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the systems, modules, and units described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein. It should be understood that the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of various equivalent modifications or substitutions, and these modifications or substitutions should all be covered within the protection scope of the present invention.

Claims

1. A method for evaluating the signal transmission quality of a communication device in a strong electric field environment, characterized in that: The method comprises: Acquire signal transmission data of each detection position in a target area within a target time period, wherein the target area is an area centered on a shared tower where a target communication device is located, and the signal transmission data includes a plurality of quality evaluation parameters; Determining the parameter stability of each of the quality evaluation parameters at each of the detection positions according to the signal transmission data at each of the detection positions within the target time period; Based on the parameter stability of each of the quality evaluation parameters of each of the detection positions, the detection positions at each moment in the target time period are classified into categories to form an equipotential line set, wherein the equipotential line set includes equipotential lines at each moment in the target time period, and the equipotential lines are formed by the detection positions belonging to the same category; Determining the transmission volatility of each of the detection positions according to the set of equipotential lines; Constructing a signal transmission heat map based on the transmission volatility of each of the detection positions, and determining a quality evaluation result of the target communication device; Based on the parameter stability of each quality evaluation parameter of each detection position, the detection positions at each moment in the target time period are classified into categories to form an equipotential line set, including: Determining data similarity between the first detection position and the second detection position at each moment according to parameter stability of each of the quality evaluation parameters at the first detection position and parameter stability of each of the quality evaluation parameters at the second detection position, wherein the first detection position and the second detection position are any two different detection positions among the detection positions; Classify the first detection position and the second detection position whose data similarity is greater than a preset similarity threshold into the same category, and obtain the category classification result at each moment; Based on the type classification results at each moment, equipotential lines are constructed respectively to obtain the equipotential line set; The step of constructing a signal transmission heat map based on the transmission volatility of each of the detection positions and determining a quality evaluation result of the target communication device includes: Performing a weighted interpolation operation using the transmission volatility of each of the detection positions as a weight to construct the signal transmission heat map; Marking the positions in the signal transmission heat map where the signal transmission strength is greater than or equal to the corresponding signal transmission threshold as qualified transmission positions, and marking the positions in the signal transmission heat map where the signal transmission strength is less than the corresponding signal transmission threshold as unqualified transmission positions, to obtain a heat map marking result, wherein each of the signal transmission thresholds is determined according to the distance between each position and the shared tower; Based on the heat map marking result, a quality evaluation result of the target communication device is determined.

2. The method for evaluating the signal transmission quality of a communication device in a strong electric field environment according to claim 1, characterized in that: Determining the parameter stability of each of the quality evaluation parameters at each of the detection positions according to the signal transmission data at each of the detection positions within the target time period includes: For each of the quality evaluation parameters of each of the detection positions, the following steps are performed respectively: Determining, according to the signal transmission data of the target detection position within the target time period, the change consistency between the target quality evaluation parameter and the reference quality evaluation parameter in the target detection position, wherein the reference quality evaluation parameter is any quality evaluation parameter other than the target quality evaluation parameter; Based on the consistency of each change corresponding to the target quality evaluation parameter, a consistency sequence corresponding to the target quality evaluation parameter is formed; Based on the consistency sequence, setting a stability weight corresponding to the target quality evaluation parameter; The parameter stability of the target quality evaluation parameter in the target detection position is determined according to the stability weight.

3. The method for evaluating the signal transmission quality of a communication device in a strong electric field environment according to claim 2, characterized in that: The determining, according to the signal transmission data of the target detection position within the target time period, the change consistency between the target quality evaluation parameter at the target detection position and the reference quality evaluation parameter comprises: Based on the signal transmission data of the target detection position within the target time period, obtaining the target parameter value of the target quality evaluation parameter in the target detection position at each moment and the reference parameter value of the reference quality evaluation parameter at each moment; Based on each of the target parameter values ​​and each of the reference parameter values, a first calculated value is obtained according to a difference between a first target parameter value of the target quality evaluation parameter at the zth moment and a second target parameter value at the z-1th moment, and a difference between a first reference parameter value of the reference quality evaluation parameter at the zth moment and a second reference parameter value at the z-1th moment, wherein the initial value of z is 1; Obtaining a second calculated value according to a difference between a third target parameter value of the target quality evaluation parameter at the z+1th moment and the first target parameter value at the zth moment, and a difference between a third reference parameter value of the reference quality evaluation parameter at the z+1th moment and the first reference parameter value at the zth moment; Determining a consistency evaluation value at a zth moment based on the first calculated value and the second calculated value; The change consistency is updated to the cumulative value of the change consistency and the consistency evaluation value at the z-th moment, and the initial value of the change consistency is 0; Update z to z+1, and return to iterative execution based on each of the target parameter values ​​and each of the reference parameter values, and obtain the corresponding calculated value according to the difference between the first target parameter value of the target quality evaluation parameter at the zth moment and the second target parameter value at the z-1th moment, and the difference between the first reference parameter value of the reference quality evaluation parameter at the zth moment and the second reference parameter value at the z-1th moment, until each moment in the target time period is traversed to obtain the change consistency between the target quality evaluation parameter and the reference quality evaluation parameter in the target detection position.

4. The method for evaluating the signal transmission quality of a communication device in a strong electric field environment according to claim 2, characterized in that: Determining the parameter stability of the target quality evaluation parameter in the target detection position according to the stability weight includes: Calculating the average value of the target parameter value of the target quality evaluation parameter at the target detection position at each time to obtain a target parameter mean value; The stability evaluation value of the target quality evaluation parameter at each moment is obtained by multiplying the inverse of the sum of the absolute value of the difference between the target parameter value of the target quality evaluation parameter at each moment and the mean value of the target parameter and the correction parameter by the stability weight; The stability evaluation values ​​of the target quality evaluation parameter at each moment are accumulated to obtain the parameter stability of the target quality evaluation parameter.

5. The method for evaluating the signal transmission quality of a communication device in a strong electric field environment according to claim 1, characterized in that: Determining the data similarity between the first detection position and the second detection position at each time according to the parameter stability of each quality evaluation parameter at the first detection position and the parameter stability of each quality evaluation parameter at the second detection position includes: For each moment in the target time period, perform the following steps respectively: Multiplying the parameter stability of the nth quality evaluation parameter of the first detection position, the parameter stability of the nth quality evaluation parameter of the second detection position, and the absolute value of the difference between the parameter value of the nth quality evaluation parameter of the first detection position at the target time and the parameter value of the nth quality evaluation parameter of the second detection position at the target time, to obtain a similarity evaluation value of the nth quality evaluation parameter at the target time, where the initial value of n is 1; Update n to n+1, and return to iterative execution to multiply the parameter stability of the nth quality evaluation parameter of the first detection position, the parameter stability of the nth quality evaluation parameter of the second detection position, and the absolute value of the difference between the parameter value of the nth quality evaluation parameter of the first detection position at the target time and the parameter value of the nth quality evaluation parameter of the second detection position at the target time, until all the quality evaluation parameters are traversed; The similarity evaluation values ​​of the quality evaluation parameters at the target time are accumulated to obtain the data similarity between the first detection position and the second detection position at the target time.

6. The method for evaluating the signal transmission quality of a communication device in a strong electric field environment according to claim 1, characterized in that: Determining the transmission volatility of each detection position according to the set of equipotential lines includes: Determining a lateral fluctuation change value of each of the detection positions according to the set of equipotential lines; The transmission volatility of each detection position is determined according to the lateral fluctuation change value of each detection position and the data similarity of the adjacent positions of the detection position at each moment, and the adjacent positions include the previous position and the next position of the detection position in the equipotential line.

7. The method for evaluating signal transmission quality of a communication device in a strong electric field environment according to claim 6, characterized in that: Determining the lateral fluctuation change value of each detection position according to the set of equipotential lines includes: For each of the detection positions, the following steps are performed respectively: Based on the set of equipotential lines, determining the slope variance of the equipotential lines corresponding to the target detection position at each time; The fluctuation evaluation value of the target detection position at each moment is obtained by multiplying the slope variance of the equipotential line corresponding to the target detection position at each moment by the curve difference value of the target detection position at the corresponding moment, and the curve difference value is used to characterize the distance between the curve in the equipotential line of the target detection position at the corresponding moment and the curve in the equipotential line at the next moment; The fluctuation evaluation values ​​of the target detection position at each time are accumulated to obtain the lateral fluctuation change value of the target detection position.

8. The method for evaluating signal transmission quality of a communication device in a strong electric field environment according to claim 6, characterized in that: Determining the transmission volatility of each detection position according to the lateral fluctuation change value of each detection position and the data similarity of the adjacent positions of the detection position at each time, includes: For each of the detection positions, the following steps are performed respectively: Performing exponential function operations on the inverse of the sum of the data similarities between the target detection position and each of the adjacent positions at each moment, respectively, to obtain the comprehensive similarity of the target detection position at each moment; Accumulating the comprehensive similarity of the target detection position at each moment to obtain a third calculated value; The third calculated value is multiplied by the lateral fluctuation change value of the target detection position to obtain the transmission fluctuation of the target detection position.

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