Method, device and electronic equipment for determining the number of insulators in a transmission line

Abstract

The present application discloses a method, device and electronic equipment for determining the number of insulators on a transmission line, and belongs to the field of electric power engineering technology. The method for determining the number of insulators on a transmission line includes the following steps: obtaining first basic data of a number of insulators on the transmission line, the first basic data including configuration information, pollution degree and altitude of the insulators; determining first correction data corresponding to the insulators based on the first basic data, the first correction data including: test salt density and upper and lower surface area pollution ratio correction coefficient; generating fitting data corresponding to the insulators based on the first basic data and the first correction data, the fitting data representing the single-piece pollution flashover voltage under different test salt density conditions; predicting the configuration result of the single-piece pollution flashover voltage based on the selected test salt density and the selected test salt density, the configuration result is used to configure the number of insulators under the selected test salt density, actual pollution degree and actual altitude conditions. The present application can improve the efficiency of configuring the number of insulators.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power engineering, and in particular to a method, a device and an electronic device for determining the number of insulators of a transmission line. Background Art

[0002] Insulators are an important component of power transmission lines, and their insulation properties are mainly determined by the number of insulators. The reasonable selection of the number of insulators in transmission lines plays a vital role in the safety of the lines.

[0003] In existing technology, the pollution withstand voltage method is typically used to determine the number of insulators. This involves repeating multiple sets of tests to obtain the DC pollution flashover voltage of each insulator. The number of insulators to be configured is then determined based on the obtained DC pollution flashover voltage. This method requires multiple sets of artificial pollution flashover tests to obtain the DC pollution flashover voltage, resulting in a low efficiency in determining the number of insulators to be configured. Summary of the Invention

[0004] The present disclosure provides a method, device, electronic device and storage medium for determining the number of insulators in a transmission line, so as to solve the problem of low efficiency in configuring the number of insulators.

[0005] According to one aspect of the present disclosure, a method for determining the number of insulators in a transmission line is provided, comprising:

[0006] Acquire first basic data of a plurality of insulators on a transmission line, the first basic data including configuration information, contamination degree, and altitude of the plurality of insulators;

[0007] Determining first correction data corresponding to the plurality of insulators based on the first basic data, the first correction data including: test salt density and upper and lower surface area pollution ratio correction coefficients;

[0008] generating fitting data corresponding to the plurality of insulators based on the first basic data and the first correction data, wherein the fitting data represents a single-piece pollution flashover voltage under different test salt density conditions;

[0009] Based on the selected test salt density and the single-piece pollution flashover voltage prediction configuration result corresponding to the selected test salt density, the configuration result is used to configure the number of insulator pieces under the conditions of the selected test salt density, actual pollution degree and actual altitude.

[0010] According to another aspect of the present disclosure, a device for determining the number of insulators in a transmission line is provided, comprising:

[0011] A first acquisition module is configured to acquire first basic data of a plurality of insulators on a transmission line, wherein the first basic data includes configuration information, pollution degree, and altitude of the plurality of insulators;

[0012] A first determining module is configured to determine first correction data corresponding to the plurality of insulators based on the first basic data, wherein the first correction data includes: a test salt density and a correction coefficient of an upper and lower surface area-pollution ratio;

[0013] a first generating module, configured to generate fitting data corresponding to the plurality of insulators based on the first basic data and the first correction data, wherein the fitting data represents a single-piece pollution flashover voltage under different test salt density conditions;

[0014] The first prediction module is used to predict the configuration result based on the test salt density and the single-piece pollution flashover voltage, and the configuration result is used to configure the number of insulator pieces under the test salt density and pollution degree conditions.

[0015] According to another aspect of the present disclosure, there is provided an electronic device, comprising:

[0016] at least one processor; and

[0017] a memory communicatively connected to the at least one processor; wherein,

[0018] The memory stores instructions that can be executed by the at least one processor. The instructions are executed by the at least one processor to enable the at least one processor to perform the method for determining the number of transmission line insulators provided by the present disclosure.

[0019] According to another aspect of the present disclosure, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to cause the computer to execute the method for determining the number of transmission line insulators provided by the present disclosure.

[0020] In this disclosure, first, basic data for several insulators on a transmission line is obtained. Corresponding first correction data is then derived from the first basic data. Fitted data for the several insulators is then determined based on the first basic and first correction data. The fitted data represents the relationship between the pollution flashover voltage per insulator and the test salt density. When a new number of insulators is needed, the selected test salt density is substituted into the fitted data to obtain the corresponding pollution flashover voltage per insulator. Finally, the number of insulators used to configure the selected test salt density, actual pollution level, and actual altitude is determined. This method improves the efficiency of configuring the number of insulators.

[0021] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present disclosure, nor are they intended to limit the scope of the present disclosure. Other features of the present disclosure will become readily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The accompanying drawings are used to better understand the present invention and do not constitute a limitation of the present invention.

[0023] Figure 1 This is one of the flow charts of a method for determining the number of insulators in a transmission line provided by the present disclosure;

[0024] Figure 2 This is the second flow chart of a method for determining the number of insulators in a transmission line provided by the present disclosure;

[0025] Figure 3 This is one of the structural diagrams of a device for determining the number of insulators in a transmission line provided by the present disclosure;

[0026] Figure 4 This is the second structural diagram of a device for determining the number of insulators in a transmission line provided by the present disclosure;

[0027] Figure 5 This is the third structural diagram of a device for determining the number of insulators in a transmission line provided by the present disclosure;

[0028] Figure 6 This is the fourth structural diagram of a device for determining the number of insulators in a transmission line provided by the present disclosure;

[0029] Figure 7 This is the fifth structural diagram of a device for determining the number of insulators in a transmission line provided by the present disclosure;

[0030] Figure 8 It is a block diagram of an electronic device used to implement the method for determining the number of insulators of a transmission line according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0031] The following description of exemplary embodiments of the present disclosure is made in conjunction with the accompanying drawings, including various details of the embodiments of the present disclosure to facilitate understanding. These details should be considered as merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the present disclosure. Similarly, for the sake of clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.

[0032] See Figure 1 , Figure 1 This is a flow chart of a method for determining the number of insulators in a transmission line provided by the present disclosure, such as Figure 1 As shown, the following steps are included:

[0033] Step S101: Acquire first basic data of a plurality of insulators on a transmission line, wherein the first basic data includes configuration information, contamination degree, and altitude of the plurality of insulators.

[0034] Among them, the first basic data of the above-mentioned several insulators can be data representing different configuration information under the same insulator type, or data representing different pollution levels under the same insulator type, and also data representing different altitudes under the same insulator type, so as to finally obtain fitting data under the conditions of a certain type of insulator.

[0035] The above-mentioned first basic data includes the configuration information, pollution degree and altitude of the above-mentioned several insulators, wherein the above-mentioned configuration information can indicate the specific number of insulators in the corresponding section, the above-mentioned pollution degree can be an environmental impact parameter in the corresponding section, and the above-mentioned altitude can be the altitude of the insulator installation position in the corresponding section.

[0036] In addition, the determination and configuration of the number of the aforementioned insulator pieces may be targeted at a DC transmission line.

[0037] It should be noted that the above-mentioned first basic data can be obtained based on data from previous sections of DC line projects, that is, the configuration information, contamination degree and altitude of the above-mentioned several insulators are known based on previous DC transmission line projects and have passed the test of actual operating conditions and have a certain safety margin.

[0038] Step S102: determining first correction data corresponding to the plurality of insulators based on the first basic data, wherein the first correction data includes: a test salt density and an upper and lower surface area pollution ratio correction coefficient.

[0039] The above-mentioned test salt density can be determined by first determining the effective salt density coefficient based on the DC annual equivalent salt density in the corresponding section, thereby obtaining the specific value of the effective salt density and then determining the test salt density.

[0040] It should be noted that the method of converting the above-mentioned effective salt density to the above-mentioned test salt density is different for different insulator types. For example, when the insulator type is a suspension insulator string, the above-mentioned effective salt density is the above-mentioned test salt density; when the insulator type is a tension insulator string, the above-mentioned effective salt density needs to be added with a reduction factor to obtain the above-mentioned test salt density.

[0041] In addition, the influence of industrial pollution and saline soil pollution can also be considered in the process of determining the above-mentioned effective salt density, that is, the coefficients of relevant industrial pollution and saline soil pollution can be added in the process of determining the effective salt density, thereby improving the data accuracy of the effective salt density.

[0042] Step S103: Generate fitting data corresponding to the plurality of insulators based on the first basic data and the first correction data, wherein the fitting data represents a single-piece pollution flashover voltage under different test salt density conditions.

[0043] It should be noted that the above fitting data may represent fitting data for the same type of insulator. Meanwhile, after obtaining fitting data for multiple types of insulators, the fitting data for the multiple types of insulators may be stored in the total fitting data.

[0044] In addition, as engineering data is continuously updated, basic data from subsequent projects can be added to the first basic data corresponding to the same model of insulators, thereby obtaining more data points for fitting, thereby making the formula or curve in the updated fitting data more accurate.

[0045] The first corrected data may be obtained from the pollution degree and altitude in the first basic data, and the specific configuration of the insulator in the first basic data may be integrated with the first corrected data to determine the single-chip DC pollution flashover voltage of the insulator under different test salt densities and specific ash densities.

[0046] In addition, in the process of integrating the specific configuration of the insulators in the first basic data with the first correction data, it is also necessary to obtain the withstand voltage required by the transmission line.

[0047] It should be noted that, based on the specific configuration of the insulators in the above-mentioned first basic data and the first corrected data, what is determined is the single-piece DC pollution flashover voltage of a certain type of insulator under different test salt densities and specific ash densities. For example: based on the specific configuration of the insulators in the above-mentioned first basic data and the first corrected data, the single-piece DC pollution flashover voltage of the insulator of the suspension insulator string under different test salt densities and specific ash densities is determined; based on the specific configuration of the insulators in the above-mentioned first basic data and the first corrected data, the single-piece DC pollution flashover voltage of the tension insulator string under different test salt densities and specific ash densities is determined.

[0048] Step S104: Based on the selected test salt density and the single-piece pollution flashover voltage prediction configuration result corresponding to the selected test salt density, the configuration result is used to configure the number of insulator pieces under the conditions of the selected test salt density, actual pollution degree and actual altitude.

[0049] According to the above-mentioned single-chip pollution flashover voltage, it can be obtained through the above-mentioned fitting data. Specifically, the above-mentioned fitting data represents the relationship between the test salt density and the single-chip pollution flashover voltage, that is, the corresponding point in the fitting data can be determined by the known test salt density, and the point represents the single-chip pollution flashover voltage under this test salt density.

[0050] In addition, pollution detection can be carried out along the transmission line to obtain the pollution degree of different sections of the line. Then, a second correction can be made to the single-piece pollution flashover voltage based on the actual pollution degree to determine the single-piece pollution flashover voltage of the insulator under actual pollution accumulation conditions. Finally, the number of insulators of this type can be determined within the limit of the transmission line withstand voltage.

[0051] In this implementation, first, basic data for several insulators on a transmission line is obtained. Corresponding first correction data is then derived from the first basic data. Fitted data for the several insulators is then determined based on the first basic and first correction data. The fitted data represents the relationship between the pollution flashover voltage per insulator and the test salt density. When a new number of insulators is needed, the selected test salt density is substituted into the fitted data to obtain the corresponding pollution flashover voltage per insulator. Finally, the number of insulators configured for the selected test salt density, actual pollution level, and actual altitude is determined. This method improves the efficiency of configuring the number of insulators.

[0052] As an optional embodiment, determining the first correction data corresponding to the plurality of insulators based on the first basic data includes: determining an effective salt density coefficient based on the equivalent salt density in the pollution degree, determining a calculated value of the effective salt density value based on the effective salt density coefficient and a first parameter coefficient, taking the calculated value as the effective salt density value when the calculated value of the effective salt density value is greater than a first set value, and taking the first set value as the effective salt density value when the calculated value of the effective salt density value is less than or equal to the first set value, wherein the first parameter coefficient includes at least one of the following: an industrial pollution coefficient and a saline soil pollution coefficient; determining the upper and lower surface area pollution ratios of the plurality of insulators based on the equivalent salt density in the pollution degree, predicting the upper and lower surface area pollution ratio correction coefficients based on the upper and lower surface area pollution ratios and the upper and lower surface area pollution ratio coefficients, wherein, when the equivalent salt density is less than or equal to a second preset value, the upper and lower surface area pollution ratio coefficient takes the first coefficient, and when the equivalent salt density is greater than the second preset value, the upper and lower surface area pollution ratio coefficient takes the second coefficient.

[0053] The above test salt density can be determined based on the equivalent salt density and the effective salt density. First, the effective salt density coefficient is determined based on the numerical value of the above equivalent salt density. For example, when the equivalent salt density is ≤ 0.08 mg / cm 2 When the effective salt density coefficient is 1, the equivalent salt density is greater than 0.08 mg / cm 2 When the effective salt density coefficient is 0.7 for industrial pollution and 0.6 for saline soil pollution, the industrial pollution coefficient and the saline soil pollution coefficient are expressed as the first parameter coefficient.

[0054] In addition, the calculated value of the effective salt density after conversion needs to be compared with the first set value. When the calculated value of the effective salt density is greater than the first set value, the calculated value is taken as the effective salt density value. When the calculated value of the effective salt density is less than or equal to the first set value, the first set value is taken as the effective salt density value. In the best case, the first set value can be 0.08 mg / cm 2 .

[0055] In addition, the upper and lower surface area pollution ratios of the plurality of insulators may be determined based on the equivalent salt density in the pollution degree. The upper and lower surface area pollution ratios of the plurality of insulators may be obtained by the following formula:

[0056] T / B=-0.377ln(ESDD)-0.5313

[0057] Where T / B represents the upper and lower surface area pollution ratio of the insulator, and ESDD represents the equivalent salt density.

[0058] It should be noted that the constants in the formula can be adjusted according to actual working conditions, which is not limited in the embodiment of the present invention. The formula is only a calculation formula under the optimal condition.

[0059] The upper and lower surface area dirt ratio correction coefficient is predicted based on the upper and lower surface area dirt ratio and the upper and lower surface area dirt ratio coefficient, which can be expressed by the following formula:

[0060] K=1-mlog(T / B)

[0061] Wherein, K represents the correction coefficient of the upper and lower surface area pollution ratio, and m represents the calculation coefficient that changes with the equivalent salt density.

[0062] It should be noted that the formula can be adjusted according to actual working conditions, which is not limited in the embodiment of the present invention. The formula is only a calculation formula under the optimal condition.

[0063] In addition, when the equivalent salt density is less than or equal to the second preset value, the upper and lower surface area pollution ratio coefficient takes the first coefficient; when the equivalent salt density is greater than the second preset value, the upper and lower surface area pollution ratio coefficient takes the second coefficient. For example: when ESDD≤0.1mg / cm 2 When m=0.2; when ESDD≥0.1mg / cm 2 When m=0.3, ESDD means equivalent salt density.

[0064] In this embodiment, first correction data corresponding to the above-mentioned several insulators are determined by the above-mentioned first basic data, and the first correction data include the above-mentioned test salt density and the above-mentioned upper and lower surface area pollution ratio correction coefficient. The insulators in the transmission line can be corrected by the above-mentioned first correction data, thereby improving the calculation accuracy and the accuracy of the results, and further improving the efficiency of configuring the number of insulator pieces.

[0065] It should be noted that the above-mentioned first correction data may also include an ash density correction coefficient and an altitude correction coefficient, wherein the above-mentioned ash density correction coefficient can be obtained by combining the equivalent salt density in the above-mentioned first basic data with the ash-salt ratio to obtain the equivalent ash density, thereby calculating the above-mentioned ash density correction coefficient. In addition, the above-mentioned altitude correction coefficient can be obtained by the altitude and insulator type in the above-mentioned first basic data.

[0066] As an optional embodiment, after determining the first correction data corresponding to the several insulators based on the first basic data, the method further includes: determining an equivalent gray density based on the equivalent salt density in the pollution degree, wherein the equivalent gray density is obtained according to a preset ratio through the equivalent salt density; obtaining an equivalent salt density parameter based on the equivalent salt density; predicting a gray density correction coefficient based on the equivalent salt density and the equivalent salt density parameter; obtaining the insulator type of the several insulators; determining an altitude correction coefficient based on the altitude and the insulator type; determining auxiliary correction data based on the gray density correction coefficient and the altitude correction coefficient; generating fitting data corresponding to the several insulators based on the first basic data, the first correction data and the auxiliary correction data, the fitting data representing a single-piece pollution flashover voltage under different test salt density conditions.

[0067] After determining the first correction data corresponding to the above-mentioned several insulators based on the above-mentioned first basic data, the above-mentioned auxiliary correction data can also be added to the above-mentioned first correction data, for example: adding the above-mentioned ash density correction coefficient and the above-mentioned altitude correction coefficient to the above-mentioned test salt density and the above-mentioned upper and lower surface area pollution ratio correction coefficient, and then determining the above-mentioned fitting data based on the above-mentioned test salt density, the above-mentioned upper and lower surface area pollution ratio correction coefficient, the above-mentioned ash density correction coefficient and the above-mentioned altitude correction coefficient.

[0068] The above-mentioned ash density correction coefficient can be obtained by first obtaining the above-mentioned equivalent salt density, and then calculating the above-mentioned equivalent ash density based on the ash-salt ratio. The ratio of the above-mentioned equivalent ash density to the above-mentioned equivalent salt density can be set according to actual conditions, and this embodiment of the present invention is not limited to this. Preferably, the ratio of the above-mentioned equivalent ash density to the above-mentioned equivalent salt density can be 6:1.

[0069] In addition, the gray density correction coefficient predicted based on the above equivalent salt density and the above equivalent salt density parameters can be expressed by the following formula:

[0070] Q=0.98(NSDD) -n

[0071] Wherein, Q represents the gray density correction coefficient, NSDD represents the equivalent salt density, n is a parameter related to the equivalent salt density and n=0.25 (ESDD) 0.15 .

[0072] The altitude correction coefficient may be determined by the altitude and the insulator type in the first basic data. See Table 1, which shows the altitude correction coefficient corresponding to the altitude and the insulator type.

[0073] Table 1

[0074]

[0075] In addition, when the first correction data and the auxiliary correction data are integrated into unified correction data, see Figure 2 , Figure 2 The flowchart of the method for determining the number of insulators in a transmission line is as follows: Figure 2 As shown in the figure, first, the configuration results of the number of insulators in each section and the corresponding pollution degree and altitude in previous projects are obtained. Then, the total correction data is determined based on the configuration results, pollution degree and altitude. The total correction data includes the test salt density, ash density, ash density correction factor, upper and lower surface area pollution ratio, upper and lower surface area pollution ratio correction factor and altitude correction factor. Then, the single-piece pollution flashover voltage under different test salt densities and specific ash density is obtained by backcalculation. Multiple sets of data are collected and fitted to obtain fitting data. The fitting data represents the relationship between the test salt density and the single-piece pollution flashover voltage.

[0076] In this implementation, fitting data corresponding to the above-mentioned several insulators are generated based on the above-mentioned first basic data, the above-mentioned first correction data and the above-mentioned auxiliary correction data. The above-mentioned fitting data represents the single-piece pollution flashover voltage under different test salt density conditions. By adding the above-mentioned auxiliary correction data, the accuracy of the configuration of the number of transmission line insulators is improved. On the other hand, the safety margin of the transmission line project can be improved by correcting multiple parameters.

[0077] As an optional implementation manner, the generating of fitting data corresponding to the plurality of insulators based on the first basic data and the first corrected data includes: predicting the single-piece DC pollution flashover voltage under different test salt density and specific ash density conditions based on the withstand voltage of the transmission line, the number of insulator configurations and the first corrected data; integrating the single-piece DC pollution flashover voltage under different test salt density and specific ash density conditions to obtain a relationship between the single-piece DC pollution flashover voltage and the test salt density; and generating the fitting data corresponding to the plurality of insulators based on the relationship.

[0078] The fitting data of several groups of insulators can be generated based on the first basic data and the first correction data. The fitting data can be represented in a table form, and the direct relationship between the test salt density and the single-piece pollution flashover voltage can be efficiently found through the table.

[0079] In addition, the above fitting data can also be expressed in the form of a coordinate system, wherein the horizontal axis and the vertical axis can represent the above test salt density and the above single-chip pollution flashover voltage respectively, and the above several groups of calculation results can be expressed as scattered points, and then the scattered points are expressed in the coordinate system.

[0080] In this implementation, the DC pollution flashover voltage per insulator under different test salt densities and specific ash densities is determined by using the transmission line's withstand voltage, the number of insulators configured, and the first correction data. Several sets of data are then integrated into the aforementioned fitting data, which can then be used to determine the pollution flashover voltage per insulator corresponding to the known test salt density. This method allows the corresponding pollution flashover voltage per insulator to be directly derived from the relationship expressed in the fitting data, saving experimental and data processing time and improving the efficiency of configuring the number of insulators.

[0081] As an optional implementation manner, the prediction configuration result of the single-piece pollution flashover voltage according to the selected test salt density and the corresponding single-piece pollution flashover voltage of the selected test salt density, the configuration result is used to configure the number of insulators under the conditions of the selected test salt density, the actual pollution degree and the actual altitude, including: obtaining first measurement data, the first measurement data including the selected test salt density, the actual pollution degree and the actual altitude; determining the single-piece pollution flashover voltage corresponding to the selected test salt density according to the selected test salt density and the fitting data, and determining second correction data according to the actual pollution degree and the actual altitude; correcting the single-piece pollution flashover voltage by the second correction data, and predicting the corrected single-piece pollution flashover voltage, the second correction data including: a dust density correction coefficient, an upper and lower surface area pollution ratio correction coefficient and an altitude correction coefficient; determining the number of insulator configuration pieces according to the corrected single-piece pollution flashover voltage and the withstand voltage required by the DC line, wherein the withstand voltage represents the required voltage for an insulator string in a transmission line, and the insulator string includes a plurality of insulators.

[0082] It should be understood that the selected test salt density may be determined based on the actual contamination level. For example, after obtaining the actual contamination level, the selected test salt density may be obtained by calculation for subsequent calculations.

[0083] When new test salt density data is obtained, the selected test salt density data can be substituted into the above fitting data, and the single-chip pollution flashover voltage that matches the selected test salt density can be obtained by comparison. The single-chip pollution flashover voltage can be corrected by the above second correction data to obtain the actual single-chip pollution flashover voltage under this operating condition.

[0084] It should be noted that the second correction data may be determined by first investigating the actual pollution of the transmission line to determine the pollution degree and altitude of the transmission line in different sections, and then determining the second correction data.

[0085] In this implementation, once the test salt density of the transmission line is confirmed, the single-insulator pollution flashover voltage corresponding to the test salt density is found in the fitted data. The pollution level and altitude of the transmission line are also determined to obtain the second correction data. Based on the single-insulator pollution flashover voltage corresponding to the test salt density and the second correction data, the single-insulator pollution flashover voltage under actual pollution accumulation is calculated. Within the permitted range of the transmission line's required withstand voltage, the resulting transmission line configuration is determined. This method saves time conducting artificial pollution flashover tests on different insulator types. The single-insulator pollution flashover voltage matching the test salt density is directly obtained from the fitted data, thereby improving the efficiency of configuring the number of insulators.

[0086] It should be noted that the above-mentioned second correction data may include the ash density correction coefficient, the upper and lower surface area dirt ratio correction coefficient and the altitude correction coefficient at the same time, or may include any several of them. The specific setting can be based on actual working conditions and is not limited in the embodiment of the present invention.

[0087] See Figure 3 , Figure 3 The present invention provides a device for determining the number of insulators in a transmission line. Figure 3 As shown, the device 300 for determining the number of insulators in a transmission line includes:

[0088] A first acquisition module 301 is configured to acquire first basic data of a plurality of insulators on a transmission line, wherein the first basic data includes configuration information, pollution degree, and altitude of the plurality of insulators;

[0089] A first determining module 302 is configured to determine first correction data corresponding to the plurality of insulators based on the first basic data, wherein the first correction data includes correction coefficients for a test salt density and an upper and lower surface area-pollution ratio;

[0090] A first generating module 303 is configured to generate fitting data corresponding to the plurality of insulators based on the first basic data and the first correction data, wherein the fitting data represents a single-piece pollution flashover voltage under different test salt density conditions;

[0091] The first prediction module 304 is used to predict the configuration result of the single-piece pollution flashover voltage according to the selected test salt density and the corresponding single-piece pollution flashover voltage of the selected test salt density. The configuration result is used to configure the number of insulator pieces under the conditions of the selected test salt density, actual pollution degree and actual altitude.

[0092] Optional, such as Figure 4 As shown, the determining module 302 includes:

[0093] The first determining unit 3021 is configured to determine an effective salt density coefficient based on the equivalent salt density in the pollution degree, determine a calculated value of an effective salt density value based on the effective salt density coefficient and a first parameter coefficient, and take the calculated value as the effective salt density value when the calculated value of the effective salt density value is greater than a first set value; and take the first set value as the effective salt density value when the calculated value of the effective salt density value is less than or equal to the first set value, wherein the first parameter coefficient includes at least one of the following: an industrial pollution coefficient and a saline soil pollution coefficient;

[0094] The second determination unit 3022 is used to determine the upper and lower surface area pollution ratios of the plurality of insulators based on the equivalent salt density in the pollution degree, and predict the upper and lower surface area pollution ratio correction coefficients based on the upper and lower surface area pollution ratios and the upper and lower surface area pollution ratio coefficients, wherein when the equivalent salt density is less than or equal to a second preset value, the upper and lower surface area pollution ratio coefficient takes a first coefficient; when the equivalent salt density is greater than the second preset value, the upper and lower surface area pollution ratio coefficient takes a second coefficient.

[0095] Optional, such as Figure 5 As shown, the device 300 for determining the number of insulation sheets of a transmission line further includes:

[0096] A second determining module 305 is configured to determine an equivalent gray density according to the equivalent salt density in the pollution degree, wherein the equivalent gray density is obtained by using the equivalent salt density according to a preset ratio;

[0097] A second acquisition module 306 is configured to acquire an equivalent salt density parameter according to the equivalent salt density;

[0098] A second prediction module 307 is configured to predict a gray density correction coefficient based on the equivalent salt density and the equivalent salt density parameter;

[0099] A third obtaining module 308 is configured to obtain the insulator types of the plurality of insulators;

[0100] A third determining module 309 is configured to determine an altitude correction factor based on the altitude and the insulator type;

[0101] A fourth determining module 310 is configured to determine auxiliary correction data based on the gray density correction coefficient and the altitude correction coefficient;

[0102] The second generating module 311 is configured to generate fitting data corresponding to the plurality of insulators based on the first basic data, the first correction data, and the auxiliary correction data, wherein the fitting data represents a single-piece pollution flashover voltage under different test salt density conditions.

[0103] Optional, such as Figure 6 As shown, the first generating module 303 includes:

[0104] The first prediction unit 3031 is configured to predict the single-insulator DC pollution flashover voltage under different test salt density and specific dust density conditions according to the withstand voltage of the transmission line, the number of insulators configured, and the first correction data;

[0105] The first integration unit 3032 is used to integrate the single-chip DC pollution flashover voltage under different test salt density and specific ash density conditions to obtain a relationship between the single-chip DC pollution flashover voltage and the test salt density;

[0106] The first generating unit 3033 is configured to generate the fitting data corresponding to the plurality of insulators according to the relationship.

[0107] Optional, such as Figure 7 As shown, the first prediction module 304 includes:

[0108] A first acquiring unit 3041 is configured to acquire first measurement data, where the first measurement data includes the selected test salt density, the actual pollution degree, and the actual altitude;

[0109] The third determining unit 3042 is configured to determine the single chip pollution flashover voltage corresponding to the selected test salt density according to the selected test salt density and the fitting data, and determine second correction data according to the actual pollution degree and the actual altitude;

[0110] The second prediction unit 3043 is configured to correct the single chip pollution flashover voltage using the second correction data to predict the corrected single chip pollution flashover voltage, wherein the second correction data includes: an ash density correction coefficient, an upper and lower surface area pollution ratio correction coefficient, and an altitude correction coefficient;

[0111] The fourth determining unit 3044 is configured to determine the number of insulators to be configured based on the corrected single-piece pollution flashover voltage and withstand voltage, wherein the withstand voltage represents the required voltage for an insulator string in a transmission line, and the insulator string includes a plurality of insulators.

[0112] According to an embodiment of the present disclosure, the present disclosure further provides an electronic device and a readable storage medium.

[0113] Figure 8 A schematic block diagram of an example electronic device 800 that can be used to implement embodiments of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are provided as examples only and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0114] like Figure 8 As shown, the device 800 includes a computing unit 801, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 802 or a computer program loaded from a storage unit 808 into a random access memory (RAM) 803. Various programs and data required for the operation of the device 800 can also be stored in the RAM 803. The computing unit 801, the ROM 802, and the RAM 803 are connected to each other via a bus 804. An input / output (I / O) interface 805 is also connected to the bus 804.

[0115] Various components in device 800 are connected to I / O interface 805, including an input unit 806, such as a keyboard, mouse, etc.; an output unit 807, such as various types of displays, speakers, etc.; a storage unit 808, such as a magnetic disk, optical disk, etc.; and a communication unit 809, such as a network card, modem, wireless communication transceiver, etc. The communication unit 809 allows device 800 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.

[0116] The computing unit 801 can be any general-purpose and / or specialized processing component with processing and computing capabilities. Some examples of the computing unit 801 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various specialized artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 801 performs the various methods and processes described above, such as the method for determining the number of transmission line insulators. For example, in some embodiments, the method for determining the number of transmission line insulators can be implemented as a computer software program tangibly embodied in a machine-readable medium, such as the storage unit 808. In some embodiments, part or all of the computer program can be loaded and / or installed onto the device 800 via the ROM 802 and / or the communication unit 809. When the computer program is loaded into the RAM 803 and executed by the computing unit 801, one or more steps of the method for determining the number of transmission line insulators described above can be performed. Alternatively, in other embodiments, the calculation unit 801 may be configured in any other appropriate manner (for example, by means of firmware) to execute the method for determining the number of insulators in a transmission line.

[0117] Various embodiments of the systems and techniques described herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), system-on-chip systems (SOCs), programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include being implemented in one or more computer programs that are executable and / or interpreted on a programmable system that includes at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0118] The program code for implementing the method of the present disclosure can be written in any combination of one or more programming languages. These program codes can be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device so that when the program code is executed by the processor or controller, the functions / operations specified in the flow chart and / or block diagram are implemented. The program code can be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0119] In the context of the present disclosure, a machine-readable medium can be a tangible medium that can contain or store a program for use by or in conjunction with an instruction execution system, device or equipment. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium can include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0120] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0121] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network (LAN), a wide area network (WAN), and the Internet.

[0122] A computer system may include a client and a server. The client and server are generally remote from each other and typically interact via a communication network. The client-server relationship arises through computer programs running on the respective computers and having a client-server relationship with each other. The server may be a cloud server, a server in a distributed system, or a server integrated with a blockchain.

[0123] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in this disclosure can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved. This is not limited herein.

[0124] The above specific embodiments do not constitute a limitation on the scope of protection of this disclosure. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this disclosure shall be included within the scope of protection of this disclosure.

Claims

1. A method for determining the number of insulators in a transmission line, characterized in that: include: Acquire first basic data of a plurality of insulators on a transmission line, the first basic data including configuration information, contamination degree, and altitude of the plurality of insulators; Determining first correction data corresponding to the plurality of insulators based on the first basic data, the first correction data including: test salt density and upper and lower surface area pollution ratio correction coefficients; generating fitting data corresponding to the plurality of insulators based on the first basic data and the first correction data, wherein the fitting data represents a single-piece pollution flashover voltage under different test salt density conditions; According to the selected test salt density and the single-piece pollution flashover voltage prediction configuration result corresponding to the selected test salt density, the configuration result is used to configure the number of insulator pieces under the conditions of the selected test salt density, actual pollution degree and actual altitude; The determining, based on the first basic data, first correction data corresponding to the plurality of insulators includes: An effective salt density coefficient is determined according to the equivalent salt density in the pollution degree, and a calculated value of an effective salt density value is determined according to the effective salt density coefficient and a first parameter coefficient. When the calculated value of the effective salt density value is greater than a first set value, the calculated value is taken as the effective salt density value. When the calculated value of the effective salt density value is less than or equal to the first set value, the first set value is taken as the effective salt density value, wherein the first parameter coefficient includes at least one of the following: an industrial pollution coefficient and a saline soil pollution coefficient; determining upper and lower surface area pollution ratios of the plurality of insulators based on the equivalent salt density in the pollution degree, and predicting upper and lower surface area pollution ratio correction coefficients based on the upper and lower surface area pollution ratios and upper and lower surface area pollution ratio coefficients, wherein when the equivalent salt density is less than or equal to a second preset value, the upper and lower surface area pollution ratio coefficient takes a first coefficient, and when the equivalent salt density is greater than the second preset value, the upper and lower surface area pollution ratio coefficient takes a second coefficient; Generating fitting data corresponding to the plurality of insulators based on the first basic data and the first correction data includes: Predicting the single-insulator DC pollution flashover voltage under different test salt density and specific ash density conditions based on the withstand voltage of the transmission line, the number of insulator configurations, and the first correction data; The single-chip DC pollution flashover voltage under different test salt density and specific ash density conditions was integrated to obtain the relationship between the single-chip DC pollution flashover voltage and the test salt density. The fitting data corresponding to the plurality of insulators is generated according to the relationship.

2. The method according to claim 1, characterized in that After determining first correction data corresponding to the plurality of insulators based on the first basic data, the method further includes: Determining an equivalent gray density according to the equivalent salt density in the pollution degree, wherein the equivalent gray density is obtained by the equivalent salt density according to a preset ratio; Obtaining equivalent salt density parameters according to the equivalent salt density; Predicting a gray density correction coefficient based on the equivalent salt density and the equivalent salt density parameter; Obtaining insulator types of the plurality of insulators; determining an altitude correction factor based on the altitude and the insulator type; Determining auxiliary correction data according to the gray density correction coefficient and the altitude correction coefficient; Fitting data corresponding to the plurality of insulators is generated based on the first basic data, the first correction data, and the auxiliary correction data, wherein the fitting data represents a single-piece pollution flashover voltage under different test salt density conditions.

3. The method according to claim 1, characterized in that The single-chip pollution flashover voltage prediction configuration result according to the selected test salt density and the selected test salt density corresponding to the selected test salt density includes: Acquiring first measurement data, the first measurement data including the selected test salt density, the actual pollution degree, and the actual altitude; Determining the single chip pollution flashover voltage corresponding to the selected test salt density according to the selected test salt density and the fitting data, and determining second correction data according to the actual pollution degree and the actual altitude; Correcting the single chip pollution flashover voltage using the second correction data to predict the corrected single chip pollution flashover voltage, wherein the second correction data includes: an ash density correction coefficient, an upper and lower surface area pollution ratio correction coefficient, and an altitude correction coefficient; The number of insulators to be configured is determined based on the corrected single-piece pollution flashover voltage and withstand voltage, wherein the withstand voltage represents the required voltage for an insulator string in a transmission line, and the insulator string includes a plurality of insulators.

4. A device for determining the number of insulators in a transmission line, configured to execute the method for determining the number of insulators in a transmission line according to any one of claims 1 to 3, characterized in that: include: A first acquisition module is configured to acquire first basic data of a plurality of insulators on a transmission line, wherein the first basic data includes configuration information, pollution degree, and altitude of the plurality of insulators; A first determining module is configured to determine first correction data corresponding to the plurality of insulators based on the first basic data, wherein the first correction data includes: a test salt density and a correction coefficient of an upper and lower surface area-pollution ratio; a first generating module, configured to generate fitting data corresponding to the plurality of insulators based on the first basic data and the first correction data, wherein the fitting data represents a single-piece pollution flashover voltage under different test salt density conditions; The first prediction module is based on the selected test salt density and the single-piece pollution flashover voltage prediction configuration result corresponding to the selected test salt density. The configuration result is used to configure the number of insulator pieces under the conditions of the selected test salt density, actual pollution degree and actual altitude.

5. The device for determining the number of insulators in a transmission line according to claim 4, characterized in that: The determining module includes: a first determining unit, configured to determine an effective salt density coefficient according to the equivalent salt density in the pollution degree, determine a calculated value of an effective salt density value according to the effective salt density coefficient and a first parameter coefficient, take the calculated value as the effective salt density value when the calculated value of the effective salt density value is greater than a first set value, and take the first set value as the effective salt density value when the calculated value of the effective salt density value is less than or equal to the first set value, wherein the first parameter coefficient includes at least one of the following: an industrial pollution coefficient and a saline soil pollution coefficient; a second determination unit, configured to determine upper and lower surface area pollution ratios of the plurality of insulators based on the equivalent salt density in the pollution degree, and predict upper and lower surface area pollution ratio correction coefficients based on the upper and lower surface area pollution ratios and upper and lower surface area pollution ratio coefficients, wherein when the equivalent salt density is less than or equal to a second preset value, the upper and lower surface area pollution ratio coefficient takes a first coefficient; and when the equivalent salt density is greater than the second preset value, the upper and lower surface area pollution ratio coefficient takes a second coefficient.

6. The device for determining the number of insulators in a transmission line according to claim 4 or 5, characterized in that: The device further comprises: A second determining module is configured to determine an equivalent gray density according to the equivalent salt density in the pollution degree, wherein the equivalent gray density is obtained by using the equivalent salt density according to a preset ratio; A second acquisition module is used to obtain an equivalent salt density parameter according to the equivalent salt density; A second prediction module is used to predict a gray density correction coefficient based on the equivalent salt density and the equivalent salt density parameter; A third acquisition module is used to obtain the insulator types of the plurality of insulators; a third determining module, configured to determine an altitude correction factor based on the altitude and the insulator type; a fourth determining module, configured to determine auxiliary correction data according to the gray density correction coefficient and the altitude correction coefficient; The second generating module is used to generate fitting data corresponding to the plurality of insulators based on the first basic data, the first correction data and the auxiliary correction data, wherein the fitting data represents the single-piece pollution flashover voltage under different test salt density conditions.

7. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 3.

8. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: in, The computer instructions are used to cause the computer to execute the method according to any one of claims 1 to 3.

Images