A power transmission line audible noise evaluation method, system, device and storage medium

Abstract

The present application relates to the technical field of power grid noise evaluation, and discloses a power transmission line audible noise evaluation method, system, device and storage medium, comprising: obtaining sound pressure level data of different types of conductors under multiple preset conditions, wherein the multiple preset conditions at least include different combinations of field strength conditions, frequency conditions and noise measurement conditions; converting the sound pressure level data into score data according to a conversion rule; obtaining the surface field distribution of the conductors in a power grid tower, and performing weighted calculation on the score data according to the surface field distribution to obtain a noise index of the conductors; and adding the noise indexes under different noise measurement conditions to obtain a comprehensive noise index of the conductors. The present application takes the important influencing factor of conductor surface electric field intensity distribution characteristics as an input parameter for setting, thereby effectively improving the accuracy of the noise evaluation result, and enabling different strand type conductors to effectively reflect the characteristics of the conductor audible noise when performing evaluation calculation.

Description

Technical Field

[0001] This invention relates to the field of power grid noise assessment technology, and in particular to a method, system, device and storage medium for assessing audible noise of overhead transmission lines based on surface electric field intensity distribution. Background Technology

[0002] Currently, the assessment and calculation of audible noise in power grids worldwide primarily relies on empirical methods, using the electric field strength on the surface of transmission line conductors as a parameter. The tuning of these existing empirical methods mainly involves determining the maximum effective value of the electric field strength on the conductor surface. Power grids first measure sound pressure levels at different voltages using various corona cage experimental platforms and full-scale transmission line test platforms. Then, they tune different input parameters using established empirical methods, ultimately obtaining an empirical method for assessing and calculating audible noise in transmission lines. The shortcoming of existing assessment methods lies in their consideration of only the maximum value of the electric field strength on the transmission line conductor surface, neglecting the distribution characteristics of this electric field strength. Therefore, when using existing methods to assess and calculate different types of transmission conductors, especially those with different strands, they cannot effectively reflect the relevant characteristics of audible noise in the conductors.

[0003] Corona discharge produces effects such as radio interference, audible noise, and corona loss, impacting line operation and the surrounding environment. It is also a major mechanism for electromagnetic pollution emissions, including audible noise. In ultra-high voltage transmission systems, the corona effect of transmission lines is significant, leading to a corresponding increase in audible noise levels. In reality, corona discharge on transmission lines is not a single phenomenon but the result of the superposition of numerous discharge points. Therefore, the magnitude of a single electric field strength on the conductor surface cannot fully reflect the strength of the corona discharge. Using a single electric field strength value to evaluate audible noise using empirical methods has a significant error. Summary of the Invention

[0004] To address the aforementioned technical problems, this invention provides a method, system, device, and storage medium for assessing audible noise of overhead transmission lines based on surface electric field intensity distribution. Compared to traditional empirical methods for assessing audible noise, this invention can use the important influencing factor of conductor surface electric field intensity distribution as an input parameter for tuning, thereby effectively improving the accuracy of the calculations. Furthermore, it can effectively perform calculations on high-voltage transmission conductors of different strand types.

[0005] In a first aspect, embodiments of the present invention provide a method for assessing audible noise in transmission lines, comprising:

[0006] Acquire sound pressure level data for different types of conductors under multiple preset conditions, wherein the multiple preset conditions include at least different combinations of field strength conditions, frequency conditions and noise measurement conditions;

[0007] According to the conversion rules, the sound pressure level data is converted into fractional data;

[0008] The surface field distribution of the conductor in the power grid tower is obtained, and the fractional data is weighted and calculated based on the surface field distribution to obtain the noise index of the conductor.

[0009] The noise indices under different noise measurement conditions are added together to obtain the comprehensive noise index of the conductor.

[0010] Furthermore, the step of converting the sound pressure level data into fractional data according to the conversion rules includes:

[0011] The average sound pressure level data under different field intensities is calculated to obtain the average sound pressure level data.

[0012] Select a wire of a preset type from the wires as a reference wire, and use the average sound pressure level data of the reference wire as reference data;

[0013] Based on the reference data, the average sound pressure level data is converted into fractional data.

[0014] Further, the step of converting the average sound pressure level data into fractional data based on the reference data includes:

[0015] The difference between the average sound pressure level data and the reference data is calculated, and the difference is divided by the decibel threshold to obtain the fractional data of the conductor.

[0016] The score data is calculated using the following formula:

[0017]

[0018] In the formula, NF represents fractional data, NL represents average sound pressure level data, FL represents reference data, T represents decibel threshold, i represents conductor type, j represents field strength condition, k represents noise measurement condition, and s represents frequency condition.

[0019] Further, the step of obtaining the surface field distribution of the conductor in the power grid tower, and weighting the fractional data according to the surface field distribution to obtain the noise index of the conductor includes:

[0020] Obtain the surface field distribution of the conductor in the power grid tower under a given voltage, wherein the field strength in the surface field distribution corresponds to the field strength condition;

[0021] The distribution ratio in the surface field distribution is used as the weight of the corresponding field strength. Based on the weight, the fractional data under the field strength are weighted and calculated to obtain the noise index of the conductor.

[0022] Furthermore, the noise figure is calculated using the following formula:

[0023]

[0024] In the formula, a j The distribution ratio of the j-th field intensity in the surface field distribution;

[0025] The overall noise figure is calculated using the following formula:

[0026]

[0027] Secondly, embodiments of the present invention provide a transmission line audible noise assessment system, comprising:

[0028] The sound pressure level acquisition module is used to acquire sound pressure level data of different types of conductors under multiple preset conditions, wherein the multiple preset conditions include at least different combinations of field strength conditions, frequency conditions and noise measurement conditions.

[0029] The fraction calculation module is used to convert the sound pressure level data into fractional data according to the conversion rules;

[0030] The noise index calculation module is used to obtain the surface field distribution of the conductor in the power grid tower, and to perform weighted calculation on the fractional data based on the surface field distribution to obtain the noise index of the conductor.

[0031] The comprehensive noise index calculation module is used to add the noise indices under different noise measurement conditions to obtain the comprehensive noise index of the conductor.

[0032] Furthermore, the fraction calculation module includes:

[0033] The average data calculation module is used to calculate the average value of the sound pressure level data under different field intensities to obtain the average sound pressure level data.

[0034] The fractional conversion module is used to select a wire of a preset type from the wires as a reference wire, use the average sound pressure level data of the reference wire as reference data, and convert the average sound pressure level data into fractional data based on the reference data.

[0035] Furthermore, the noise figure calculation module includes:

[0036] A surface field distribution acquisition module is used to acquire the surface field distribution of the conductor in the power grid tower under a given voltage, wherein the field strength in the surface field distribution corresponds to the field strength condition.

[0037] The index calculation module is used to take the distribution ratio in the surface field distribution as the weight of the corresponding field strength, and to perform weighted calculation on the fractional data under the field strength according to the weight to obtain the noise index of the conductor.

[0038] Thirdly, embodiments of the present invention also provide a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above-described method.

[0039] Fourthly, embodiments of the present invention also provide a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the above-described method.

[0040] This invention provides a method, system, device, and storage medium for assessing audible noise in transmission lines. Compared with existing technologies, this invention obtains the distribution area of ​​the electric field intensity on the conductor surface corresponding to a certain electric field intensity, uses a percentage to represent the distribution range and characteristics of the electric field intensity, and then establishes an audible noise assessment method for transmission lines based on this parameter. This method can accurately assess audible noise while considering the distribution characteristics of the electric field intensity on the conductor surface. Attached Figure Description

[0041] Figure 1 This is a flowchart illustrating the method for assessing audible noise in transmission lines in an embodiment of the present invention.

[0042] Figure 2 This is the sound pressure level of a 3M cable at 100Hz under light spray from the instrument;

[0043] Figure 3 This is the sound pressure level of the AAAAC conductor at 100Hz under light spray from the instrument;

[0044] Figure 4 This is a schematic diagram of the electric field distribution of different conductors in a certain tower-shaped power grid tower;

[0045] Figure 5 This is a schematic diagram showing the noise levels of different wires at 100Hz under manual spraying conditions;

[0046] Figure 6 This is a schematic diagram showing the noise levels at 200Hz for different wires under manual spraying conditions;

[0047] Figure 7 This is a schematic diagram showing the noise levels of different wires at 100Hz under light spray from the instrument.

[0048] Figure 8 This is a schematic diagram showing the noise levels of different wires at 200Hz under light spray from the instrument.

[0049] Figure 9This is a schematic diagram of the structure of the audible noise assessment system for transmission lines in an embodiment of the present invention;

[0050] Figure 10 This is an internal structural diagram of the computer device in an embodiment of the present invention. Detailed Implementation

[0051] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0052] Please see Figure 1 The first embodiment of the present invention provides a method for assessing audible noise in transmission lines, comprising steps S10 to S40:

[0053] Step S10: Obtain sound pressure level data for different types of conductors under multiple preset conditions. The multiple preset conditions include at least different combinations of field strength conditions, frequency conditions, and noise measurement conditions.

[0054] Corona discharge produces effects such as radio interference, audible noise, and corona loss, which affect line operation and the surrounding environment. It is also the main mechanism for electromagnetic environmental pollution emissions such as audible noise. In ultra-high voltage transmission systems, the corona effect of transmission lines is significant, resulting in an increase in audible noise levels. In reality, corona discharge on transmission lines is not a single phenomenon but the result of the superposition of a large number of discharge points. Therefore, the magnitude of a single value of the electric field strength on the conductor surface cannot fully reflect the strength of the corona discharge. In order to better assess the audible noise of transmission lines, it is first necessary to obtain basic data of the conductors, that is, to collect data of different types of conductors under different sound pressure levels. For example, sound pressure level data under fixed field strength, frequency, and different noise generation conditions can be obtained through corona cage experiments. For example, we can obtain sound pressure level data of noise generated by manual rain and instrument spraying under field strength of 15kV / cm and frequency of 100HZ and 200HZ.

[0055] Step S20: Convert the sound pressure level data into fractional data according to the conversion rules.

[0056] To facilitate subsequent processing, this invention converts sound pressure level data into fractional data for display according to certain conversion rules. The specific conversion steps include:

[0057] Step S201: Calculate the average value of the sound pressure level data under different field intensities to obtain the average sound pressure level data;

[0058] Step S202: Select a wire of a preset type from the wires as a reference wire, and use the average sound pressure level data of the reference wire as reference data;

[0059] Step S203: Based on the reference data, convert the average sound pressure level data into fractional data.

[0060] First, the average sound pressure level data of the collected field strength on different conductor types is calculated to obtain the average sound pressure level data of the conductor under the field strength. In order to display the sound pressure level as a fraction, we select a certain type of conductor as a reference conductor from different conductor types. For example, we can choose a conductor with a wide range of applications, or a conductor with low noise selected in other noise assessment methods. The sound pressure level of the reference conductor can be used as reference data to convert the average sound pressure level data.

[0061] In this invention, various conversion methods can be used. For example, the average sound pressure level data of each conductor can be subtracted from the reference data, and then the difference can be divided by the decibel threshold to convert the sound pressure level into a fraction. Depending on the specific experimental conditions, for example, 3 dB can be selected as a decibel threshold. At this time, the sound pressure level data of different conductors can be converted into fractional data. Obviously, the conductor selected as the reference conductor has a fraction of 0, while the conductor with a positive fraction indicates that the noise is louder than the reference conductor, and the conductor with a negative fraction indicates that the noise is quieter than the reference conductor.

[0062] The formula for calculating the fraction under this conversion method is as follows:

[0063]

[0064] In the formula, NF represents fractional data, NL represents average sound pressure level data, FL represents reference data, T represents decibel threshold, i represents conductor type, j represents field strength condition, k represents noise measurement condition, and s represents frequency condition.

[0065] Of course, other fractional conversion methods can also be used in this invention. For example, the sound pressure level of a certain type of wire can be selected as the reference data, and then the average sound pressure level of different wires can be divided by the reference data to obtain the corresponding fractional data. Under this conversion method, the wire selected as the reference wire has a fraction of 1. A wire with a fraction greater than 1 indicates that the noise is louder than the reference wire, and a wire with a fraction less than 1 indicates that the noise is quieter than the reference wire.

[0066] Step S30: Obtain the surface field distribution of the conductor in the power grid tower, and perform weighted calculation on the fractional data based on the surface field distribution to obtain the noise index of the conductor.

[0067] To address the issue that existing noise assessment methods, which rely on tuning with a single electric field strength value, introduce significant errors in the assessment results, this invention incorporates the electric field strength distribution characteristics into the assessment process. The specific steps are as follows:

[0068] Step S301: Obtain the surface field distribution of the conductor in the power grid tower under a given voltage, wherein the field strength in the surface field distribution corresponds to the field strength condition;

[0069] Step S302: The distribution ratio in the surface field distribution is used as the weight of the corresponding field strength. Based on the weight, the fractional data under the field strength is weighted and calculated to obtain the noise index of the conductor.

[0070] First, obtain the proportion of the conductor surface under a given electric field, i.e., the surface field distribution. This data can be obtained through experimental simulation or real field data collection. In fact, the electric field distribution of conductors on power grid towers is different under different voltages. The distribution of different field strengths can be statistically determined by the actual tower height. Then, by narrowing the statistical range to the vicinity of the conductor, the electric field distribution of this type of conductor can be obtained. In order to make the noise assessment results more accurate, in actual measurement, we need to keep the field strength of the obtained conductor sound pressure level data and electric field distribution data consistent.

[0071] Since the field strength of the surface field distribution is consistent with the field strength of the sound pressure level data, the distribution ratio corresponding to this field strength in the surface field distribution can be used as a weight to perform weighted calculation on the converted fractional data, thereby obtaining the audible noise index that takes into account the distribution characteristics of the electric field intensity on the conductor surface. The calculation formula is as follows:

[0072]

[0073] In the formula, a j Let be the distribution ratio of the j-th field intensity in the surface field distribution.

[0074] Step S40: Add the noise indices under different noise measurement conditions to obtain the comprehensive noise index of the conductor.

[0075] Since the conditions under which audible noise is generated by conductors vary, the noise we obtain is also generated under different conditions. To obtain a more accurate assessment of the audible noise of this type of conductor, we need to add the noise indices obtained under different measurement conditions. This will give us the comprehensive noise index of this type of conductor at different frequencies. The calculation formula is as follows:

[0076]

[0077] The evaluation method of the present invention will be further explained below through specific embodiments. First, the experimental environment requirements are set, namely, at 100Hz and 200Hz, sound pressure level data of different types of conductors under different field intensities are obtained through instrument light spraying and manual raining methods. Figure 2 and Figure 3 As shown, sound pressure level data under three field strength conditions were selected from AAAC and 3M conductors with different field strengths. Using the more commonly used AAAC conductor as the reference conductor, the data were converted into fractions using the above conversion method, resulting in the fractional representation table shown in Table 1 below:

[0078]

[0079] Table 1. Sound Pressure Level Conversion Fractions

[0080] Figure 4 The table shows the percentage of area with a certain surface gradient. Taking the State Grid 2F2-SJC-1-30 tower as an example, it can be seen that the electric field distribution of the AAAAC conductor and the 3M conductor in this tower is different. For example, for the AAAAC conductor, 41% of the surface area has an electric field between 14.5kV / cm and 15.4kV / cm. Of course, this data is experimental data, and after rounding, it can be statistically estimated to be 15kV / cm. This electric field distribution can be used as a weighting coefficient to calculate the measured noise index. Taking the 3M conductor as an example, the proportions of electric field distribution at 15kV / cm, 16kV / cm, and 17kV / cm are 51%, 39%, and 10%, respectively. Using this proportion as the weight, the scores in Table 1 are weighted and calculated as 0.51*1 + 0.396*0 + 0.1*1, thus obtaining a noise index of 0.61 for the 3M conductor under the condition of instrument light spray at 100HZ.

[0081] Because different spraying conditions produce different results in the measurement, manual spraying and light spraying are considered separately in the scoring analysis. First, for manual spraying conditions, after weighted calculation, the results are as follows: Figure 5 and Figure 6 The noise figures shown at 100Hz and 200Hz will also be obtained under different instrument spray conditions at different frequencies. Figure 7 and Figure 8 To provide a comprehensive rating for different conductors, the noise indices under different spraying conditions need to be added together. For example, the noise indices of a 3M conductor at 100Hz under instrument spraying and manual spraying are 0.61 and 0.39 respectively. 0.61 + 0.39 = 1, so the comprehensive noise index of the 3M conductor is 1. Similarly, the comprehensive noise indices of different types of conductors can be obtained, as shown in Table 2 below:

[0082]

[0083] Table 2. Comprehensive Noise Index for Different Types of Conductors

[0084] Table 2 clearly shows that at 100Hz and 200Hz frequencies, the JSP Trap conductor is quieter than other conductors, while the ACCC / CTC conductor is louder in terms of audible noise. By following the same procedures—sample preparation, measurement, and result analysis—the reproducibility of the results can be maintained. In other words, the audible noise assessment method provided by this invention can be widely applied to various power scenarios and can provide accurate reference indicators for the selection of overhead transmission line conductors.

[0085] The present invention provides a method for assessing audible noise in transmission lines. Compared with traditional methods that only consider the maximum value of the electric field strength on the surface of the transmission line conductor and ignore its distribution characteristics, the present invention uses the distribution characteristics of the electric field strength on the conductor surface as an important influencing factor for tuning, thereby effectively improving the accuracy of the noise assessment results and enabling different types of conductors to effectively reflect the characteristics of audible noise when performing assessment calculations.

[0086] Please see Figure 9 Based on the same inventive concept, the second embodiment of the present invention provides a transmission line audible noise assessment system, comprising:

[0087] The sound pressure level acquisition module 10 is used to acquire sound pressure level data of different types of conductors under multiple preset conditions. The multiple preset conditions include at least different combinations of field strength conditions, frequency conditions and noise measurement conditions.

[0088] The fraction calculation module 20 is used to convert the sound pressure level data into fractional data according to the conversion rules;

[0089] The noise index calculation module 30 is used to obtain the surface field distribution of the conductor in the power grid tower, and to perform weighted calculation on the fractional data based on the surface field distribution to obtain the noise index of the conductor.

[0090] The comprehensive noise index calculation module 40 is used to add the noise indices under different noise measurement conditions to obtain the comprehensive noise index of the conductor.

[0091] Furthermore, the fraction calculation module 20 includes:

[0092] The average data calculation module 201 is used to calculate the average value of the sound pressure level data under different field intensities to obtain the average sound pressure level data.

[0093] The fractional conversion module 202 is used to select a wire of a preset type from the wires as a reference wire, use the average sound pressure level data of the reference wire as reference data, and convert the average sound pressure level data into fractional data according to the reference data.

[0094] Furthermore, the noise figure calculation module 30 includes:

[0095] The surface field distribution acquisition module 301 is used to acquire the surface field distribution of the conductor in the power grid tower under a given voltage, wherein the field strength in the surface field distribution corresponds to the field strength condition.

[0096] The index calculation module 302 is used to take the distribution ratio in the surface field distribution as the weight of the corresponding field strength, and to perform weighted calculation on the fractional data under the field strength according to the weight to obtain the noise index of the conductor.

[0097] The technical features and effects of the audible noise assessment system for transmission lines proposed in this invention are the same as those of the method proposed in this invention, and will not be repeated here. Each module in the above-mentioned audible noise assessment system for transmission lines can be implemented entirely or partially through software, hardware, or a combination thereof. Each module can be embedded in or independent of the processor in a computer device in hardware form, or it can be stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0098] Please see Figure 10 The diagram illustrates the internal structure of a computer device in one embodiment. This computer device can specifically be a terminal or a server. The computer device includes a processor, memory, network interface, display, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communication with external terminals via a network connection. When the computer program is executed by the processor, it implements a method for assessing audible noise in power transmission lines. The display screen of the computer device can be a liquid crystal display (LCD) or an e-ink display. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad mounted on the computer device's casing, or an external keyboard, touchpad, or mouse.

[0099] Those skilled in the art will understand that Figure 10The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computing devices may include more or fewer components than shown in the diagram, or combine certain components, or have the same component arrangement.

[0100] Furthermore, embodiments of the present invention also propose a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above-described method.

[0101] Furthermore, embodiments of the present invention also propose a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the steps of the above-described method.

[0102] In summary, this invention provides a method, system, device, and storage medium for assessing audible noise in transmission lines. The assessment method involves acquiring sound pressure level data for different types of conductors under multiple preset conditions, where the preset conditions include at least different combinations of field strength conditions, frequency conditions, and noise measurement conditions. The sound pressure level data is converted into fractional data according to a conversion rule. The surface field distribution of the conductor in the power grid tower is acquired, and the fractional data is weighted and calculated based on the surface field distribution to obtain the noise index of the conductor. The noise indices under different noise measurement conditions are summed to obtain the comprehensive noise index of the conductor. This invention uses the important influencing factor of the conductor surface electric field intensity distribution characteristics as an input parameter for tuning, thereby effectively improving the accuracy of the noise assessment results and enabling the assessment calculation of different conductor strands to effectively reflect the characteristics of audible noise in the conductor.

[0103] The various embodiments in this specification are described in a progressive manner. For directly identical or similar parts of the embodiments, refer to each other. Each embodiment focuses on its differences from other embodiments. In particular, the system embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions in the method embodiments. It should be noted that the technical features of the above embodiments can be combined arbitrarily. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as the combination of these technical features does not contradict each other, it should be considered within the scope of this specification.

[0104] The embodiments described above are merely preferred embodiments of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various improvements and substitutions without departing from the technical principles of this invention, and these improvements and substitutions should also be considered within the scope of protection of this application. Therefore, the scope of protection of this patent application should be determined by the scope of the claims.

Claims

1. A method for assessing audible noise in transmission lines, characterized in that, include: Acquire sound pressure level data for different types of conductors under multiple preset conditions, wherein the multiple preset conditions include at least different combinations of field strength conditions, frequency conditions and noise measurement conditions; According to the conversion rules, the sound pressure level data is converted into fractional data, including: The average sound pressure level data under different field intensities is calculated to obtain the average sound pressure level data. Select a wire of a preset type from the wires as a reference wire, and use the average sound pressure level data of the reference wire as reference data; Based on the reference data, the average sound pressure level data is converted into fractional data; The surface field distribution of the conductor in the power grid tower is obtained, and the fractional data is weighted and calculated based on the surface field distribution to obtain the noise index of the conductor, including: Obtain the surface field distribution of the conductor in the power grid tower under a given voltage, wherein the field strength in the surface field distribution corresponds to the field strength condition; The distribution ratio in the surface field distribution is used as the weight of the corresponding field strength. Based on the weight, the fractional data under the field strength are weighted and calculated to obtain the noise index of the conductor. The noise indices under different noise measurement conditions are added together to obtain the comprehensive noise index of the conductor.

2. The method for assessing audible noise in transmission lines according to claim 1, characterized in that, The step of converting the average sound pressure level data into fractional data based on the reference data includes: The difference between the average sound pressure level data and the reference data is calculated, and the difference is divided by the decibel threshold to obtain the fractional data of the conductor. The score data is calculated using the following formula: In the formula, For fractional data, This is the average sound pressure level data. For reference data, denoted as decibel threshold, i as the i-th wire type, j as the j-th field strength condition, k as the k-th noise measurement condition, and s as the s-th frequency condition.

3. The method for assessing audible noise in transmission lines according to claim 2, characterized in that, The noise figure is calculated using the following formula: The overall noise figure is calculated using the following formula: In the formula, Let be the weights of the fractional data under the j-th field strength condition.

4. A system for assessing audible noise in power transmission lines, characterized in that, include: The sound pressure level acquisition module is used to acquire sound pressure level data of different types of conductors under multiple preset conditions, wherein the multiple preset conditions include at least different combinations of field strength conditions, frequency conditions and noise measurement conditions. The fraction calculation module is used to convert the sound pressure level data into fractional data according to the conversion rules; The noise index calculation module is used to obtain the surface field distribution of the conductor in the power grid tower, and to perform weighted calculation on the fractional data based on the surface field distribution to obtain the noise index of the conductor. The comprehensive noise index calculation module is used to add the noise indices under different noise measurement conditions to obtain the comprehensive noise index of the conductor; The fraction calculation module includes: The average data calculation module is used to calculate the average value of the sound pressure level data under different field intensities to obtain the average sound pressure level data. The fractional conversion module is used to select a wire of a preset type from the wires as a reference wire, use the average sound pressure level data of the reference wire as reference data, and convert the average sound pressure level data into fractional data based on the reference data. The noise index calculation module includes: A surface field distribution acquisition module is used to acquire the surface field distribution of the conductor in the power grid tower under a given voltage, wherein the field strength in the surface field distribution corresponds to the field strength condition. The index calculation module is used to take the distribution ratio in the surface field distribution as the weight of the corresponding field strength, and to perform weighted calculation on the fractional data under the field strength according to the weight to obtain the noise index of the conductor.

5. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 3.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 3.

Images