Signal transmission quality evaluation method of communication equipment in strong electric field environment

Abstract

The invention discloses a signal transmission quality evaluation method for communication equipment in a strong electric field environment, and relates to the technical field of digital information transmission. The method comprises the following steps: acquiring signal transmission data of each detection position in a target area in a target time period, wherein the signal transmission data comprises a plurality of 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, the detection positions at each moment in the target time period are classified into types, an equipotential line set is formed, the equipotential line set comprises equipotential lines at each moment in the target time period, and the equipotential lines are formed by the detection positions belonging to the same type; determining transmission volatility of each detection position according to the equipotential line set; and constructing a signal transmission thermodynamic diagram based on the transmission volatility of each detection position, and determining a quality evaluation result of the target communication equipment.

Description

Technical Field

[0001] The present invention relates to the technical field of digital information transmission, and in particular 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 my country's mobile communications, the demand for communication equipment such as base station antennas is increasing. However, the construction cost of traditional base station antenna carriers is high and the construction period is long. Therefore, installing communication equipment such as base station antennas on the transmission line tower body can promote the sharing of infrastructure resources between the two major industries of electricity and communications. However, due to the close installation of base station antennas and transmission lines, electromagnetic waves in strong electric field environments may interfere with communication equipment, resulting in signal attenuation, increased bit error rate and other problems. Therefore, it is necessary to evaluate the signal transmission quality of communication equipment in strong electric field environments.

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

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

[0005] The 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 evaluation accuracy of the signal transmission quality.

[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, comprising: Acquire signal transmission data of each detection position in a target area within a target time period, where the target area is an area centered on a shared tower where a target communication device is located, and the signal transmission data includes multiple quality evaluation parameters; Determining the parameter stability of each quality evaluation parameter at each detection position according to the signal transmission data at each detection position within the target time period; 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, which includes equipotential lines at each moment in the target time period, and the equipotential lines are composed of detection positions belonging to the same category; Based on the set of equipotential lines, the transmission volatility of each detection position is determined; A signal transmission heat map is constructed based on the transmission volatility of each detection position to determine the quality evaluation result of the target communication equipment.

[0007] Further, determining the parameter stability of each quality evaluation parameter of each detection position according to the signal transmission data of each detection position 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.

[0008] Further, determining the consistency of changes between the target quality evaluation parameter at the target detection position and the reference quality evaluation parameter according to the signal transmission data of the target detection position within the target time period includes: 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.

[0009] Further, 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.

[0010] Furthermore, 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, 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 category classification results at each moment, equipotential lines are constructed respectively to obtain the equipotential line set.

[0011] Further, 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: 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.

[0012] Furthermore, determining the transmission volatility of each of the detection positions 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.

[0013] Furthermore, 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.

[0014] Further, the determining of 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 comprises: 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.

[0015] Furthermore, the constructing of a signal transmission heat map based on the transmission volatility of each of the detection positions to determine the 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.

[0016] In the signal transmission quality evaluation method of the communication equipment in the strong electric field environment provided by the embodiment of the present invention, the signal transmission data of each detection position in the target area within the target time period is first obtained, and then the parameter stability of each quality evaluation parameter of each detection position is determined according to the signal transmission data of each detection position within the target time period. Then, according to 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 a set of equipotential lines. According to the set of equipotential lines, 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 equipment. 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 in the signal transmission process is quantified to obtain the transmission volatility of each detection position. Therefore, 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 map constructed by traditional interpolation method, thereby improving the evaluation accuracy of signal transmission quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 A schematic flow chart of a first method for evaluating signal transmission quality of a communication device in a strong electric field environment provided by an embodiment of the present invention; Figure 2 A schematic diagram of equipotential lines provided by an embodiment of the present invention; Figure 3 A flow chart of a second method for evaluating signal transmission quality of a communication device in a strong electric field environment provided by an embodiment of the present invention; Figure 4 A schematic flow chart of a third method for evaluating signal transmission quality of a communication device in a strong electric field environment provided by an embodiment of the present invention; Figure 5 A flowchart of a fourth method for evaluating signal transmission quality of a communication device in a strong electric field environment provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0019] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of the signal transmission quality evaluation method of a communication device in a strong electric field environment proposed by the present invention, its specific implementation method, structure, features and effects, in conjunction with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0020] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0021] It should be noted that the acquisition, storage, use, and processing of data in the technical solution of the present invention are in compliance with the relevant provisions of laws and regulations.

[0022] It should be noted that in the embodiments of the present invention, certain software, components, models and other existing solutions in the industry may be mentioned, which should be regarded as exemplary. Their purpose is only to illustrate the feasibility of implementing the technical solution of the present invention, but it does not mean that the applicant has or will necessarily use the solution.

[0023] In the existing method, the signal evaluation parameters of multiple preset positions in the area near the shared tower are detected, and the signal transmission heat map is constructed by interpolation, so as to evaluate the signal transmission quality of the communication equipment on the shared tower in a strong electric field environment. However, due to the interference of the electric field environment during the signal transmission process, the signal transmission heat map constructed by the traditional interpolation method is easily inaccurate, resulting in poor accuracy in the evaluation of the signal transmission quality.

[0024] 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, the signal transmission data of each detection position in the target area within the target time period is first obtained, and then the parameter stability of each quality evaluation parameter of each detection position is determined 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, the detection positions at each moment in 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, 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 within the target time period, the interference of the electric field environment in the signal transmission process is quantified to obtain the transmission volatility of each detection position. 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 map constructed by traditional interpolation method, thereby improving the evaluation accuracy of signal transmission quality.

[0025] The following describes a specific embodiment of a method for evaluating signal transmission quality of a communication device in a strong electric field environment provided by an embodiment of the present invention.

[0026] Figure 1 A flow chart 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. 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.

[0027] S101, obtaining 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.

[0028] In this embodiment, the target area is a circular area or a rectangular area constructed by extending a preset length with the shared iron tower where the target communication device is located as the center. The shared iron tower is used to represent the installation of the target communication device on the main body of the transmission line iron tower. For example, a circular area constructed with a radius of 500 meters and the shared iron tower where the target communication device is located as the center can be used as the target area.

[0029] The signal transmission data includes a plurality of quality evaluation parameters, and the quality evaluation parameters include at least one of signal strength, signal-to-noise ratio, bit error rate and delay.

[0030] As an example, signal transmission is performed through a target communication device on a shared tower, and signal transmission data sent by the target communication device is received in real time through signal receiving devices at various preset detection positions in the target area within a target time period.

[0031] S102, determining the parameter stability of each quality evaluation parameter of each detection position according to the signal transmission data of each detection position within the target time period.

[0032] In this embodiment, 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 disturbed by the electric field environment.

[0033] As an example, the server calculates statistics such as the standard deviation or coefficient of variation of each quality evaluation parameter within a target time period for each detection position to evaluate the parameter stability of the quality evaluation parameter.

[0034] S103, 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, which includes the equipotential lines at each moment in the target time period, and the equipotential lines are composed of detection positions belonging to the same category.

[0035] In this embodiment, each detection position of the same type has similarity in parameter stability of the quality evaluation parameter, and each detection position of the same type forms an equipotential line. Figure 2 As shown, a schematic diagram of equipotential lines is provided, wherein the shared iron tower is located at the center of the equipotential lines, and each equipotential line includes detection positions belonging to the same type.

[0036] As an example, the server uses the parameter stability of each quality evaluation parameter at detection position A as a weight to correct the parameter value of each quality evaluation parameter at detection position A at time T1, and obtains the parameter value of each quality evaluation parameter after correction; at the same time, uses the parameter stability of each quality evaluation parameter at detection position B as a weight to correct the parameter value of each quality evaluation parameter at detection position B at time T1, and obtains the parameter value of each quality evaluation parameter after correction; then, based on the parameter values ​​of each quality evaluation parameter at detection position A after correction and the parameter values ​​of each quality evaluation parameter at detection position B after correction, calculate the Jaccard similarity of detection position A and detection position B at time T1.

[0037] According to the above method, the Jaccard similarity between each detection position at time T1 is calculated, and the Jaccard similarity is used as the distance to use a clustering algorithm (such as K-means, DBSCAN, etc.) to divide each detection position at time T1 into different categories. Then, each detection position of the same category is connected to form an equipotential line, and each equipotential line at time T1 can be obtained.

[0038] For each moment in the target time period, the above operations are performed respectively to obtain the equipotential lines at each moment. Finally, the equipotential lines at each moment are summarized to form an equipotential line set.

[0039] S104, determining the transmission volatility of each detection position according to the set of equipotential lines.

[0040] In this embodiment, the transmission volatility is used to provide a basis for subsequently constructing a signal transmission heat map.

[0041] As an example, based on the set of equipotential lines, the server calculates the fluctuation of each detection position relative to each equipotential line to which it belongs during the entire target time period, that is, the transmission volatility of each detection position. Specifically, this can be achieved by calculating the deviation, standard deviation and other indicators between the detection position and the average value of the equipotential line.

[0042] Furthermore, according to the transmission volatility of each detection position, each detection position can be divided into different transmission volatility levels such as high volatility, medium volatility, and low volatility.

[0043] S105, constructing a signal transmission heat map based on the transmission volatility of each detection position, and determining a quality evaluation result of the target communication device.

[0044] In this embodiment, the server divides the target area into grids, and uses different colors or brightness to represent different volatility levels according to the transmission volatility level of the detection position in each grid, thereby drawing a signal transmission heat map.

[0045] Then, based on the distribution of the signal transmission heat map, the signal transmission quality of the target communication device in the target area is analyzed. For example, if the high volatility area is concentrated near the communication device, it indicates that the communication device may have signal transmission problems; if the volatility of the entire area is low, it indicates that the communication device has good performance.

[0046] In the signal transmission quality evaluation method of the communication equipment in the strong electric field environment provided by the present embodiment, the signal transmission data of each detection position in the target area within the target time period is first obtained, and then the parameter stability of each quality evaluation parameter of each detection position is determined according to the signal transmission data of each detection position within the target time period. Then, according to 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 a set of equipotential lines. According to the set of equipotential lines, 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 equipment. 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 in the signal transmission process is quantified to obtain the transmission volatility of each detection position. Therefore, 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 map constructed by traditional interpolation method, thereby improving the evaluation accuracy of signal transmission quality.

[0047] As an optional embodiment, Figure 3 As shown, S102 may specifically include: For each quality evaluation parameter of each detection position, the following S301 to S304 are performed respectively: S301, determining, according to signal transmission data of a target detection position within a target time period, a change consistency between a target quality evaluation parameter and a reference quality evaluation parameter at the target detection position, where the reference quality evaluation parameter is any quality evaluation parameter other than the target quality evaluation parameter; S302, constructing a consistency sequence corresponding to the target quality evaluation parameter based on the consistency of each change corresponding to the target quality evaluation parameter; S303, setting a stability weight corresponding to the target quality evaluation parameter based on the consistency sequence; S304: Determine the parameter stability of the target quality evaluation parameter in the target detection position according to the stability weight.

[0048] 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. The greater the change consistency, the greater the stability weight corresponding to the target quality evaluation parameter in subsequent calculations.

[0049] The consistency sequence is a sequence composed of the change consistencies corresponding to the target quality evaluation parameters, and the consistency sequence includes each change consistency corresponding to the target quality evaluation parameters.

[0050] As an example, for each quality evaluation parameter at each detection position, the following steps are performed respectively: The server selects one quality evaluation parameter from the quality evaluation parameters of the target detection position as a target quality evaluation parameter, and determines each quality evaluation parameter except the target quality evaluation parameter as a reference quality evaluation parameter.

[0051] Then, the consistency of change is determined for the target quality evaluation parameter and each reference quality evaluation parameter. Specifically, the change of the target quality evaluation parameter at each time point (or time interval) is calculated first; at the same time, the change of the reference quality evaluation parameter at the same time point (or time interval) is calculated. Use correlation analysis (such as Pearson correlation coefficient, Spearman rank correlation coefficient, etc.) or time series analysis method to evaluate the consistency of change between the target quality evaluation parameter and the reference quality evaluation parameter. If the change trends of the two are similar, the consistency of change is high; if the trends are opposite or inconsistent, the consistency of change is low.

[0052] Then, the consistency of each change corresponding to the target quality evaluation parameter is arranged in order to form a consistency sequence corresponding to the target quality evaluation parameter. .in, It is used to characterize the consistency of the change between the target quality evaluation parameter j at the target detection position i and the first reference quality evaluation parameter, It is used to characterize the consistency of the change between the target quality evaluation parameter j at the target detection position i and the second reference quality evaluation parameter, Used to characterize the change consistency between the target quality evaluation parameter j at the target detection position i and the third reference quality evaluation parameter.

[0053] 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: Formula 1 In the formula, The stability weight corresponding to the target quality evaluation parameter j used to characterize the target detection position i, It is used to characterize the change consistency between the target quality evaluation parameter j at the target detection position i and the ath reference quality evaluation parameter, and N is used to characterize the total number of quality evaluation parameters. A consistency sequence is constructed in the above manner to characterize the target detection position i with the ath reference quality evaluation parameter as the target quality evaluation parameter, and then the variance of the consistency change in the consistency sequence corresponding to the ath reference quality evaluation parameter is calculated.

[0054] in, The larger it is, the worse the consistency between the a-th reference quality evaluation parameter and other quality evaluation parameters is, and therefore the smaller the stability weight obtained based on the a-th reference quality evaluation parameter is.

[0055] Finally, 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 are arranged in chronological order to form the time series data corresponding to the target quality evaluation parameters. The stability weight corresponding to the target quality evaluation parameters is applied to the time series data to obtain the weighted time series data. According to the weighted time series data, the stability of the target quality evaluation parameters is evaluated. If the weighted data fluctuates less, it indicates that the target quality evaluation parameters are relatively stable; if the fluctuation is large, it indicates that its stability is poor.

[0056] Through this embodiment, according to the signal transmission data of the target detection position in the target time period, the consistency of changes between the target quality evaluation parameter and the reference quality evaluation parameter in the target detection position is determined. Then, based on the consistency of changes corresponding to the target quality evaluation parameter, the stability weight corresponding to the target quality evaluation parameter is set. Finally, based on the stability weight, the parameter stability of the target quality evaluation parameter in the target detection position is determined. In this way, the parameter stability of each quality evaluation parameter can be accurately determined, which is helpful for the subsequent determination of the transmission volatility of each detection position according to the parameter stability of the quality evaluation parameter, thereby improving the accuracy of the evaluation of the signal transmission quality.

[0057] As an optional embodiment, S301 may specifically include: Based on the signal transmission data of the target detection position within the target time period, 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 are obtained; Based on each target parameter value and each reference parameter value, 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; Obtain 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 a 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 a first reference parameter value at the zth moment; Determine a consistency evaluation value at the zth moment based on the first calculated value and the second calculated value; Update the change consistency to the cumulative value of the change consistency and the consistency evaluation value at the zth moment, and the initial value of the change consistency is 0; Update z to z+1, and return to iterative execution 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 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, to obtain the corresponding calculated value, 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.

[0058] In this embodiment, the change consistency between the target quality evaluation parameter and the reference quality evaluation parameter in the target detection position can be determined by the following formula 2: Formula 2 In the formula, It is used to characterize the consistency of the change between the target quality evaluation parameter j and the reference quality evaluation parameter j+1 at the target detection position i. It is used to characterize the difference between the first target parameter value at the zth moment and the second target parameter value at the z-1th moment of the target quality evaluation parameter j. It is used to characterize the difference between the first reference parameter value at the zth moment and the second reference parameter value at the z-1th moment of the reference quality evaluation parameter j+1. It is used to characterize the difference between the third target parameter value of the target quality evaluation parameter j at the z+1th moment and the first target parameter value at the zth moment. It is used to represent the difference between the third reference parameter value of the reference quality evaluation parameter j+1 at the z+1th moment and the first reference parameter value at the zth 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 a correction parameter, which is used to prevent the denominator from being zero. In this embodiment, .

[0059] According to the parameter value of the target quality evaluation parameter j and the parameter value of the reference quality evaluation parameter j+1 at each moment, the consistency of the change between the target quality evaluation parameter j and the reference quality evaluation parameter j+1 can be evaluated; It is used to characterize the consistency evaluation value at the zth moment. The larger the consistency evaluation value at each moment is, the greater the consistency of the change between the target quality evaluation parameter j and the reference quality evaluation parameter j+1 is.

[0060] Through this embodiment, according to the signal transmission data of the target detection position in the target time period, the change consistency between the target quality evaluation parameter in the target detection position and the reference quality evaluation parameter can be accurately calculated. This helps to determine the parameter stability of the target quality evaluation parameter in the target detection position according to the change consistency, thereby improving the evaluation accuracy of the signal transmission quality.

[0061] As an optional embodiment, S304 may specifically include: Calculate the average value of the target parameter value of the target quality evaluation parameter at each time in the target detection position to obtain the 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 and the target parameter mean value at each moment and the correction parameter by the stability weight; The stability evaluation values ​​of the target quality evaluation parameters at each moment are accumulated to obtain the parameter stability of the target quality evaluation parameters.

[0062] In this embodiment, the parameter stability of the target quality evaluation parameter can be determined specifically by the following formula 3: Formula 3 In the formula, It is used to characterize the parameter stability of target quality evaluation parameter j in target detection position i, The stability weight corresponding to the target quality evaluation parameter j used to characterize the target detection position i. It is used to characterize the target parameter value of the target quality evaluation parameter j at the zth moment. The target parameter mean value used to represent the target quality evaluation parameter j, and M is used to represent the total number of moments in the target time period; Represents a correction parameter used to prevent the denominator from being zero. In this embodiment, .

[0063] in, It is used to characterize the stability evaluation value of the target quality evaluation parameter j at the zth moment. The larger the stability evaluation value at each moment is, the greater the parameter stability of the target quality evaluation parameter j is.

[0064] Through this embodiment, the parameter stability of the target quality evaluation parameter in the target detection position can be accurately determined according to the stability weight. This helps to determine the transmission volatility of each detection position according to the parameter stability of the quality evaluation parameter, thereby improving the accuracy of signal transmission quality assessment.

[0065] As an optional embodiment, Figure 4 As shown, S103 may specifically include the following S401 to S403: S401, determining data similarity between the first detection position and the second detection position at each time according to parameter stability of each quality evaluation parameter of the first detection position and parameter stability of each quality evaluation parameter of the second detection position, wherein the first detection position and the second detection position are any two different detection positions among the detection positions; S402, classifying the first detection position and the second detection position whose data similarity is greater than a preset similarity threshold into the same category, and obtaining the category classification result at each moment; S403, constructing equipotential lines based on the classification results at each moment, and obtaining an equipotential line set.

[0066] 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.

[0067] As an example, the server uses the parameter stability of each quality evaluation parameter at the first detection position as a weight to correct the parameter value of each quality evaluation parameter at the first detection position at time T1, and obtains the parameter value of each quality evaluation parameter after correction; at the same time, uses the parameter stability of each quality evaluation parameter at the second detection position as a weight to correct the parameter value of each quality evaluation parameter at the second detection position at time T1, and obtains the parameter value of each quality evaluation parameter after correction; then, based on the parameter value of each quality evaluation parameter at the first detection position after correction and the parameter value of each quality evaluation parameter at the second detection position after correction, the cosine similarity or Pearson correlation coefficient is used to calculate the data similarity between the first detection position and the second detection position at time T1.

[0068] Then, a preset similarity threshold is set, and each data similarity is compared with the preset similarity threshold. If the data similarity of two detection positions at time T1 is greater than the preset similarity threshold, they are classified into the same category at time T1. In this way, the category classification result at time T1 can be obtained.

[0069] According to the above method, the classification results at each moment are calculated. Finally, based on the classification results at each moment, equipotential lines are constructed respectively. Specifically, the classification results at each time point are converted into a format suitable for drawing equipotential lines, that is, the detection position at each time point is mapped to the spatial coordinates. And select a suitable interpolation method (such as linear interpolation, bilinear interpolation, radial basis function interpolation, etc.) to construct smooth equipotential lines.

[0070] Through this embodiment, 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 accurately divided into categories, thereby forming an equipotential line set. This helps to determine the transmission volatility of each detection position based on the equipotential line set in the future. This achieves quantification of the interference of the electric field environment during signal transmission and improves the accuracy of signal transmission quality assessment.

[0071] As an optional embodiment, S401 may specifically include: For each moment in the target time period, perform the following steps respectively: 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 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 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.

[0072] In this embodiment, the data similarity between the first detection position and the second detection position at the target time can be determined specifically by the following formula 4: Formula 4 In the formula, It is used to characterize the data similarity between the i-th detection position and the i+1-th detection position at the target time. The parameter stability of the nth quality evaluation parameter used to characterize the i+1th detection position, Characterizes the parameter stability of the nth quality assessment parameter at the ith detection position. The parameter value used to characterize the nth quality evaluation parameter of the i-th detection position at the target time, It is used to represent the parameter value of the nth quality evaluation parameter at the i+1th detection position at the target time. N is used to represent the total number of quality evaluation parameters.

[0073] in, It is used to represent the similarity evaluation value corresponding to the nth quality evaluation parameter at the target time between the i-th detection position and the i+1-th detection position. The larger the similarity evaluation value corresponding to each quality evaluation parameter, the greater the final data similarity.

[0074] Through this embodiment, the data similarity between the first detection position and the second detection position at each moment is determined based on 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. This helps to classify the data according to the similarity of the data, thereby constructing equipotential lines, and further improving the accuracy of signal transmission quality assessment.

[0075] As an optional embodiment, Figure 5 As shown, S104 may specifically include the following S501 to S502: S501, determining the lateral fluctuation change value of each detection position according to the set of equipotential lines; S502, 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, the adjacent positions including the previous position and the next position of the detection position in the equipotential line.

[0076] 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 at the detection position and the adjacent position in the equipotential line. Specifically, for each detection position, the following steps are performed respectively: For each quality evaluation parameter, the difference between the detection position and the previous detection position in the equipotential line, and the difference between the detection position and the next detection position in the equipotential line are calculated, and the average value of the difference is calculated to obtain the average difference of each quality evaluation parameter. Then, the average difference of each quality evaluation parameter is accumulated to obtain the lateral fluctuation change value of the detection position in an equipotential line.

[0077] 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.

[0078] 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.

[0079] 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.

[0080] As an optional embodiment, S501 may specifically include: For each detection position, perform the following steps: Based on the set of equipotential lines, determine the slope variance of the equipotential lines corresponding to the target detection position at each time; 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; 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.

[0081] In this embodiment, the lateral fluctuation change value of the target detection position can be determined by the following formula 5: Formula 5 In the formula, It is used to represent the lateral fluctuation change value of the target detection position i, and M is used to represent the total number of moments in the target time period. It is used to characterize the slope variance of the equipotential line corresponding to the target detection position at the zth moment, that is, the value obtained by calculating the variance of the slope of the fitting line formed by each adjacent two detection positions in the equipotential line corresponding to the target detection position at the zth moment. It is used to characterize the curve difference value of the target detection position at the zth moment.

[0082] Specifically, the curve difference value of the target detection position at the zth moment can be determined by the following formula 6: Formula 6 In the formula, It is used to characterize the curve difference value of the target detection position at the zth moment. The curve used to characterize the target detection position in the equipotential line at the zth moment, It is used to represent the curve in the equipotential line of the target detection position at the z+1th moment. DTW is used to represent the dynamic time warping (DTW) calculation.

[0083] Through this embodiment, according to the slope variance of the equipotential line corresponding to the target detection position at each time, and the curve difference value of the target detection position at each time, the lateral fluctuation change value of the target detection position can be accurately calculated. In this way, it is helpful to calculate the transmission volatility of the target detection position according to the lateral fluctuation change value of the target detection position, and the accuracy of the evaluation of the signal transmission quality can be improved.

[0084] As an optional embodiment, S502 may specifically include: For each detection position, perform the following steps: The inverse of the sum of the data similarities between the target detection position and each adjacent position at each moment is respectively subjected to exponential function operation 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.

[0085] In this embodiment, the transmission volatility of the target detection position can be determined specifically by the following formula 7: Formula 7 In the formula, It is used to characterize the transmission fluctuation of the target detection position i, Used to characterize the lateral fluctuation change value of the target detection position i. It is used to characterize the data similarity between the target detection position i and the i-1th detection position at the zth moment. It is used to characterize the data similarity between the target detection position i and the i+1th detection position at the zth moment. exp is used to characterize the exponential function operation, and M is used to characterize the total number of moments in the target time period.

[0086] in, It is used to characterize the comprehensive similarity of the target detection position i at the zth moment, which is determined by the data similarity between the target detection position and the previous detection position in the equipotential line, and the data similarity between the target detection position and the next detection position in the equipotential line. The greater the comprehensive similarity of the target detection position at each moment, the greater the transmission volatility of the target detection position.

[0087] Through this embodiment, the transmission volatility of each detection position can be 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 time. This helps to construct a signal transmission heat map based on the transmission volatility of each detection position, avoid the problem of inaccurate signal transmission heat map constructed by traditional interpolation method, and thus improve the accuracy of signal transmission quality evaluation.

[0088] As an optional embodiment, S105 may specifically include: The transmission volatility of each detection position is used as the weight to perform weighted interpolation operations and construct a signal transmission heat map; The positions where the signal transmission strength in the signal transmission heat map is greater than or equal to the corresponding signal transmission threshold are marked as qualified transmission positions, and the positions where the signal transmission strength in the signal transmission heat map is less than the corresponding signal transmission threshold are marked as unqualified transmission positions, and the heat map marking result is obtained. Each signal transmission threshold is determined according to the distance between each position and the shared tower; Based on the heat map marking results, the quality evaluation results of the target communication equipment are determined.

[0089] In this embodiment, the server sets a corresponding weight according to the transmission volatility of each detection position. Specifically, the greater the transmission volatility, the lower the weight of the detection position; the smaller the transmission volatility, the higher the weight of the detection position. Select a suitable interpolation method (such as bilinear interpolation, nearest neighbor interpolation, etc.), and calculate the signal transmission strength of the unknown position based on the signal transmission strength and weight of the known detection position. And map the calculated signal transmission strength value to the signal transmission heat map, usually using color depth to indicate the volatility. The darker the color, the greater the signal transmission strength, and the lighter the color, the smaller the signal transmission strength.

[0090] Then, the distance between each location and the shared tower is calculated, and a signal transmission threshold is set for each location based on the distance and preset rules (the closer the distance, the higher the threshold; the farther the distance, the lower the threshold). The areas in the signal transmission heat map where the signal transmission volatility is greater than or equal to the corresponding location threshold are marked as qualified transmission locations; the areas in the signal transmission heat map where the signal transmission volatility is less than the corresponding location threshold are marked as unqualified transmission locations.

[0091] Finally, the proportion of qualified transmission positions to the total area is calculated to obtain the quality evaluation result of the target communication equipment.

[0092] Through this embodiment, a weighted interpolation operation is performed using the transmission volatility of each detection position as a weight to construct a signal transmission heat map, which can avoid the problem of inaccurate signal transmission heat maps constructed by traditional interpolation methods, thereby improving the accuracy of signal transmission quality assessment.

[0093] It should be clear that the present invention is not limited to the specific configuration and processing described above and shown in the figures. For the sake of simplicity, a detailed description of the known method 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, and those skilled in the art can make various changes, modifications and additions, or change the order between the steps after understanding the spirit of the present invention.

[0094] 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 performed in the order mentioned in the embodiments, or in a different order from the embodiments, or several steps can be performed simultaneously.

[0095] The above is only a specific implementation of the present invention. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working process of the system, module and unit described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here. It should be understood that the protection scope of the present invention is not limited to this. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present invention, and these modifications or replacements should 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; A signal transmission heat map is constructed based on the transmission fluctuation of each of the detection positions to determine the quality evaluation result of the target communication device.

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: 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 category classification results at each moment, equipotential lines are constructed respectively to obtain the equipotential line set.

6. The method for evaluating the signal transmission quality of a communication device in a strong electric field environment according to claim 5, 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.

7. 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 of the detection positions 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.

8. The method for evaluating signal transmission quality of a communication device in a strong electric field environment according to claim 7, 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.

9. The method for evaluating signal transmission quality of a communication device in a strong electric field environment according to claim 7, 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.

10. The method for evaluating signal transmission quality of a communication device in a strong electric field environment according to claim 1, characterized in that: 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.

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