A method and device for monitoring temperature in a transmission line

Abstract

The present application provides a method and device for temperature monitoring in a transmission line, and relates to the technical field of transmission lines. The method includes: in response to a temperature monitoring operation on the transmission line, obtaining steady-state temperature data corresponding to the transmission line; constructing a first transmission line temperature calculation model based on the steady-state temperature data and using a heat balance equation; performing a conductor flow test, based on first temperature data calculated by the first transmission line temperature calculation model, if it is confirmed that the first accuracy corresponding to the first transmission line temperature calculation model does not meet a preset accuracy, obtaining the degree of influence of multiple error influencing factors on the temperature calculation model; improving the first transmission line temperature calculation model based on the degree of influence of the multiple error influencing factors on the temperature calculation model to obtain an improved second transmission line temperature calculation model; performing a conductor flow test, based on second temperature data calculated by the second transmission line temperature calculation model, if it is confirmed that the second accuracy of the second transmission line temperature calculation model meets the preset accuracy, performing a real-time temperature monitoring operation on the transmission line using the second transmission line temperature calculation model. This application solves the problem that manual inspection alone not only requires a lot of manpower and material resources to cover the entire network, but also cannot accurately combine multiple influencing factors to analyze the degree of influence of error influencing factors on the temperature parameters in the conductor, that is, there is a problem of low monitoring efficiency and low monitoring accuracy.

Description

Technical Field

[0001] The present application relates to the technical field of power transmission lines, and in particular to a method and device for temperature monitoring in a power transmission line. Background Art

[0002] With the development and progress of science and technology, it is an inevitable trend to adopt modern monitoring technology and advanced monitoring equipment to ensure the safety of transmission lines. During the operation of transmission lines, it is necessary to monitor various parameters of the conductors in real time, among which conductor temperature monitoring is particularly important.

[0003] Currently, monitoring and measuring conductor temperature parameters is typically accomplished through manual inspections. Technicians regularly visit transmission line sites and monitor conductor temperature parameters using equipment such as handheld thermometers and infrared thermal imagers. However, due to the widespread distribution of transmission lines and the complex influencing factors affecting conductor temperature parameters, manual inspections alone require significant manpower and material resources to cover the entire network. Furthermore, they are unable to accurately integrate multiple influencing factors to analyze the extent to which error factors affect conductor temperature parameters, resulting in low monitoring efficiency and accuracy.

[0004] Therefore, there is an urgent need for a temperature monitoring method and device in a transmission line. Summary of the Invention

[0005] The present application provides a method and device for temperature monitoring in a transmission line, which solves the problem that relying solely on manual inspection not only requires a large amount of manpower and material resources to cover the entire network, but also cannot accurately combine multiple influencing factors to analyze the degree of influence of error influencing factors on the temperature parameters in the conductor, that is, there is a problem of low monitoring efficiency and low monitoring accuracy.

[0006] In a first aspect of the present application, a method for temperature monitoring in a transmission line is provided, the method comprising: in response to a temperature monitoring operation on the transmission line, obtaining steady-state temperature data corresponding to the transmission line, the steady-state temperature data being temperature data corresponding to the transmission line under normal operating conditions; constructing a first transmission line temperature calculation model based on the steady-state temperature data and through a heat balance equation, the first transmission line temperature calculation model being used to obtain first temperature data in the transmission line; judging whether a first accuracy of the first transmission line temperature calculation model meets a preset accuracy based on the first temperature data through a conductor current test; if the first accuracy of the first transmission line temperature calculation model does not meet the preset accuracy, obtaining the effect of multiple error influencing factors on the temperature calculation model; The plurality of error influencing factors include an ambient temperature influencing factor, a vertical line wind speed influencing factor, and a sunshine intensity influencing factor; according to the degree of influence of the plurality of error influencing factors on the temperature calculation model, the first transmission line temperature calculation model is improved to obtain an improved second transmission line temperature calculation model, and the second transmission line temperature calculation model is used to obtain second temperature data in the transmission line; through a conductor current flow test, it is determined according to the second temperature data whether the second accuracy of the second transmission line temperature calculation model meets the preset accuracy; if the second accuracy of the second transmission line temperature calculation model meets the preset accuracy, the second transmission line temperature calculation model is used to perform real-time temperature monitoring on the transmission line.

[0007] Optionally, a first transmission line temperature calculation model is constructed based on the steady-state temperature data and through a heat balance equation, specifically including: constructing a functional relationship between the heating power-heat dissipation power difference and the initial value of the conductor output temperature based on the steady-state temperature data and through a heat balance equation, the steady-state temperature data including Joule heating data, sunlight absorption data, radiation heat dissipation data, convection heat dissipation data, line current carrying capacity data and AC resistance data, and the heating power-heat dissipation power difference is the difference between the total heating power and the total heat dissipation power in the transmission line; and constructing the first transmission line temperature calculation model according to the functional relationship.

[0008] Optionally, obtaining the first temperature data in the transmission line specifically includes: determining whether the absolute value of the difference between the heating power and the heat dissipation power is less than a preset convergence index value; if the absolute value of the difference between the heating power and the heat dissipation power is less than the preset convergence index value, confirming that the functional relationship has converged; solving the functional relationship at the time of convergence to obtain the conductor operating temperature of the transmission line at the time of convergence; and using the conductor operating temperature of the transmission line at the time of convergence as the first temperature data.

[0009] Optionally, through a conductor current-through test, judging whether the first accuracy of the first transmission line temperature calculation model meets the preset accuracy based on the first temperature data, specifically comprising: conducting a conductor current-through test under first preset experimental conditions, the first preset experimental conditions including a fixed wind speed condition, a fixed sunshine intensity condition, a fixed ambient temperature condition, and a natural convection condition; constructing a first functional relationship corresponding to the first temperature data and the conductor current carrying capacity through the conductor current-through test; obtaining actual temperature data, and constructing a second functional relationship corresponding to the actual temperature data and the conductor current carrying capacity; respectively determining the actual target temperature data corresponding to each first target temperature data, wherein the first target temperature data is a plurality of first temperature In the data, the first temperature data corresponding to any one conductor current carrying capacity determined according to the first functional relationship, and the actual target temperature data are the actual temperature data corresponding to any one conductor current carrying capacity determined according to the second functional relationship among multiple actual temperature data; multiple error values ​​between each first target temperature data and the corresponding actual target temperature data are calculated, and the multiple error values ​​are sorted from large to small to obtain the maximum error value among the multiple error values; it is determined whether the maximum error value is greater than the preset error value; if the maximum error value is greater than the preset error value, it is determined that the first accuracy does not meet the preset accuracy; if the maximum error value is less than or equal to the preset error value, it is determined that the first accuracy meets the preset accuracy.

[0010] Optionally, when the error influencing factor is the vertical line wind speed influencing factor, the degree of influence of multiple error influencing factors on the temperature calculation model is obtained, specifically including: constructing a third functional relationship corresponding to the actual temperature data and the conductor current carrying capacity under the second preset experimental conditions, the second preset experimental conditions including wind speed change conditions, fixed sunshine intensity, fixed ambient temperature conditions and natural convection conditions; according to the third functional relationship, the degree of influence of the vertical line wind speed influencing factor on the temperature calculation model is obtained.

[0011] Optionally, when the error influencing factor is a sunlight intensity influencing factor, the degree of influence of multiple error influencing factors on the temperature calculation model is obtained, specifically including: constructing a fourth functional relationship corresponding to the actual temperature data and the conductor current carrying capacity under the third preset experimental conditions, the third preset experimental conditions including fixed wind speed conditions, changing sunlight intensity conditions, fixed ambient temperature conditions and natural convection conditions; according to the fourth functional relationship, obtaining the degree of influence of the sunlight intensity influencing factor on the temperature calculation model.

[0012] Optionally, when the error influencing factor is the ambient temperature influencing factor, the degree of influence of multiple error influencing factors on the temperature calculation model is obtained, specifically including: constructing a fifth functional relationship corresponding to the actual temperature data and the conductor current carrying capacity under the fourth preset experimental conditions, the fourth preset experimental conditions including fixed wind speed conditions, fixed sunshine intensity conditions, ambient temperature change conditions and natural convection conditions; according to the fifth functional relationship, obtaining the degree of influence of the ambient temperature influencing factor on the temperature calculation model.

[0013] In a second aspect of the present application, a temperature monitoring device in a power transmission line is provided, the device comprising a temperature measurement module, a main control module and an output module, wherein:

[0014] The temperature measurement module is used to obtain steady-state temperature data corresponding to the transmission line in response to the temperature monitoring operation on the transmission line. The steady-state temperature data is the temperature data corresponding to the transmission line under normal operation; based on the steady-state temperature data and through the heat balance equation, a first transmission line temperature calculation model is constructed. The first transmission line temperature calculation model is used to obtain first temperature data in the transmission line.

[0015] The main control module is used to determine whether the first accuracy of the first transmission line temperature calculation model meets the preset accuracy based on the first temperature data through a conductor current test; if the first accuracy of the first transmission line temperature calculation model does not meet the preset accuracy, obtain the degree of influence of multiple error influencing factors on the temperature calculation model, and the multiple error influencing factors include ambient temperature influencing factors, vertical line wind speed influencing factors, and sunshine intensity influencing factors.

[0016] The output module is used to improve the first transmission line temperature calculation model based on the degree of influence of multiple error influencing factors on the temperature calculation model to obtain an improved second transmission line temperature calculation model, where the second transmission line temperature calculation model is used to obtain second temperature data in the transmission line; through a conductor current flow test, determine whether the second accuracy of the second transmission line temperature calculation model meets the preset accuracy based on the second temperature data; if the second accuracy of the second transmission line temperature calculation model meets the preset accuracy, then perform real-time temperature monitoring operations on the transmission line through the second transmission line temperature calculation model.

[0017] In the third aspect of the present application, an electronic device is provided, including a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device performs any of the methods described above.

[0018] In a fourth aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and the computer program is executed by a processor to perform any of the above methods.

[0019] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

[0020] 1. When the user operates the temperature monitoring operation for the transmission line, the steady-state temperature data corresponding to the transmission line is obtained, and a first transmission line temperature calculation model is constructed based on the steady-state temperature data and the heat balance equation. The first transmission line temperature calculation model is used to obtain the first temperature data in the transmission line. Through the conductor current test, it is judged based on the first temperature data whether the first accuracy of the first transmission line temperature calculation model meets the preset accuracy; if the first accuracy of the first transmission line temperature calculation model does not meet the preset accuracy, the influence degree of multiple error influencing factors on the temperature calculation model is obtained, and according to the influence degree of multiple error influencing factors on the temperature calculation model, the first transmission line temperature calculation model is improved to obtain The improved second transmission line temperature calculation model is used to obtain second temperature data in the transmission line. In the same manner, through the conductor current flow test, it is determined based on the second temperature data whether the second accuracy of the second transmission line temperature calculation model meets the preset accuracy. When the second accuracy of the second transmission line temperature calculation model meets the preset accuracy, it is confirmed that the transmission line temperature calculation model has been improved. The second transmission line temperature calculation model is used to perform real-time temperature monitoring operations on the transmission line, and then accurately combine various influencing factors to analyze the degree of influence of error influencing factors on the temperature parameters in the conductor, so as to improve the accuracy of real-time temperature monitoring of the transmission line.

[0021] 2. Conduct a conductor current flow test under the first preset experimental conditions, and through the conductor current flow test, construct a first functional relationship between the first temperature data and the conductor current carrying capacity, obtain actual temperature data, and construct a second functional relationship between the actual temperature data and the conductor current carrying capacity, thereby respectively determining the actual target temperature data corresponding to each first target temperature data, calculating multiple error values ​​between each first target temperature data and the corresponding actual target temperature data, and sorting the multiple error values ​​from large to small to obtain the maximum error value among the multiple error values, and determining whether the maximum error value is greater than the preset error value, thereby determining the accuracy of the first transmission line temperature calculation model. If the maximum error value is less than or equal to the preset error value, it is considered that the accuracy of the calculation model meets the requirements, the calculation results can reflect the actual temperature state of the conductor, and the model is considered reliable and can be used for subsequent monitoring operations. If the maximum error value is greater than the preset error value, it indicates that the accuracy of the model is insufficient, and there may be factors affecting the accuracy of the model that require further analysis and optimization.

[0022] 3. By analyzing the impact of multiple error factors on the temperature calculation model, including ambient temperature, vertical line wind speed, and sunlight intensity, the error in the transmission line temperature calculation model can be reduced, making it more accurately reflect the conductor temperature under actual working conditions. Ultimately, a more robust and adaptable transmission line temperature calculation model is constructed to meet the requirements of accurate monitoring and prediction, and improve the safety and reliability of transmission line operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 This is a flow chart of a method for temperature monitoring in a power transmission line provided in an embodiment of the present application;

[0024] Figure 2 This is a schematic diagram of the structure of a power transmission line verification platform provided in an embodiment of the present application;

[0025] Figure 3 Schematic diagrams of function curves respectively represented by the first functional relationship and the second functional relationship provided in the embodiments of the present application;

[0026] Figure 4 This is a schematic diagram of a conductor temperature-current carrying capacity curve under a reference environmental parameter provided in an embodiment of the present application;

[0027] Figure 5 This is a schematic diagram of a conductor temperature-current carrying capacity curve under different wind speeds provided in an embodiment of the present application;

[0028] Figure 6 This is a schematic diagram of a conductor temperature-current carrying capacity variation curve under different sunlight intensities provided in an embodiment of the present application;

[0029] Figure 7 This is a schematic diagram of a conductor temperature-current carrying capacity variation curve under different ambient temperatures provided in an embodiment of the present application;

[0030] Figure 8 This is a module schematic diagram of a temperature monitoring device in a power transmission line provided in an embodiment of the present application;

[0031] Figure 9 This is a structural diagram of an electronic device provided in an embodiment of the present application.

[0032] Explanation of the accompanying symbols: 21, fixed end; 22, bracket; 23, tested stranded wire; 24, voltage regulator; 25, high-current low-voltage transformer; 26, current transformer; 27 ammeter; 28, connecting copper bus; 81, temperature measurement module; 82, main control module; 83, output module; 901, processor; 902, communication bus; 903, user interface; 904, network interface; 905, memory. DETAILED DESCRIPTION

[0033] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0034] The terms used in the following examples of the present application are only for the purpose of describing specific embodiments and are not intended to limit the present application. As used in the specification of the present application, the singular expressions "a", "an", "said", "above", "the", and "this" are intended to include plural expressions as well, unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used in the present application refers to and includes any or all possible combinations of one or more of the listed items.

[0035] In the following, the terms "first" and "second" are used for descriptive purposes only and should not be understood to imply or suggest relative importance or implicitly indicate the number of the technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the embodiments of this application, unless otherwise specified, "plurality" means two or more.

[0036] In order to enable those skilled in the art to better understand the technical solution of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings.

[0037] With the development and progress of science and technology, it is an inevitable trend to adopt modern monitoring technology and advanced monitoring equipment to ensure the safety of transmission lines. During the operation of transmission lines, it is necessary to monitor various parameters of the conductors in real time, among which conductor temperature monitoring is particularly important.

[0038] Currently, monitoring and measuring conductor temperature parameters is typically accomplished through manual inspections. Technicians regularly visit transmission line sites and monitor conductor temperature parameters using equipment such as handheld thermometers and infrared thermal imagers. However, due to the widespread distribution of transmission lines and the complex influencing factors affecting conductor temperature parameters, manual inspections alone require significant manpower and material resources to cover the entire network. Furthermore, they are unable to accurately integrate multiple influencing factors to analyze the extent to which error factors affect conductor temperature parameters, resulting in low monitoring efficiency and accuracy.

[0039] Therefore, there is an urgent need for a temperature monitoring method and device in a transmission line.

[0040] Please refer to Figure 1 , which shows a flow chart of a temperature monitoring method in a transmission line provided in an embodiment of the present application. The method is applied to a server. The flow chart mainly includes the following steps: S101 to S107.

[0041] Step S101 : in response to a temperature monitoring operation on a power transmission line, obtaining steady-state temperature data corresponding to the power transmission line, where the steady-state temperature data is temperature data corresponding to the power transmission line in a normal operating state.

[0042] Specifically, when a user performs temperature monitoring on a transmission line, the temperature sensor acquires the line's steady-state temperature data. This steady-state temperature data can be acquired in real time and uploaded to a server via a communication module. The server then stores the data for real-time access. The communication module utilizes LoRa technology to improve the transmission distance and efficiency of data transmission. Steady-state temperature data refers to the temperature data corresponding to the normal operation of the transmission line. Steady-state temperature data includes, but is not limited to, Joule heating data, solar heat absorption data, radiation heat dissipation data, convection heat dissipation data, line current carrying capacity data, and AC resistance data.

[0043] Step S102: constructing a first power transmission line temperature calculation model based on the steady-state temperature data and through a heat balance equation. The first power transmission line temperature calculation model is used to obtain first temperature data in the power transmission line.

[0044] Specifically, based on the steady-state temperature data, a functional relationship between the difference between the heating power and the heat dissipation power and the initial value of the conductor output temperature is constructed through the heat balance equation. The steady-state temperature data includes Joule heating data, sunlight absorption data, radiation heat dissipation data, convection heat dissipation data, line current carrying capacity data, and AC resistance data. The difference between the heating power and the heat dissipation power is the difference between the total heating power and the total heat dissipation power in the transmission line. The specific steps are as follows: It can be seen from the heat balance equation that the temperature rise of the conductor during normal operation of the transmission line is mainly related to two types of heating and two types of heat dissipation, namely Joule heating, sunlight absorption, radiation heat dissipation, and convection heat dissipation. At this time, a function F(T) with the variable T is constructed, and F(T) is:

[0045] F(T)=I 2 R(T)+q s -q c -q r ;

[0046] Where T is the temperature data of the transmission line, I is the line current data, R(T) is the AC resistance data in the transmission line when the temperature is T, q s is the solar heat absorption data, q c is the convection heat dissipation data, q r is the radiation heat dissipation data. When the transmission line is operating normally, the sum of the conductor's Joule heating data and solar heat absorption data should be equal to the sum of the conductor's radiation heat dissipation data and convection heat dissipation data. Then, the AC resistance, solar heat absorption, radiation heat dissipation, and convection heat dissipation are calculated separately and substituted into the function F(T) with variable T, resulting in:

[0047]

[0048] Among them, k1 is the skin effect coefficient, which is related to the overhead transmission line, the outer diameter of the carbon core and the DC resistance; k2 is the iron loss effect coefficient, and k2 is a fixed value; R 20 is the DC resistance per unit length of the conductor when the conductor temperature is 20°C; α is the conductor resistance temperature coefficient; α s is the conductor surface heat absorption coefficient; D is the outer diameter of the overhead line; E1 is the conductor surface radiation heat dissipation coefficient; s is the Stefan-Boltzmann constant, and s = 5.67×10-8W / m 2 ;λ f is the heat transfer coefficient of the air layer on the conductor surface; V is the kinematic viscosity of the air layer on the conductor surface; J s is the sunshine intensity; v is the wind speed; θ is the wind direction angle; T a is the ambient temperature. When the conductor current carrying capacity is I, and the ambient temperature, wind speed, wind direction angle, and sunlight intensity of the conductor are all known, the initial value of the conductor operating temperature is given as T0, and the functional relationship between the difference between the heating power and the heat dissipation power and the initial value of the conductor output temperature is constructed:

[0049]

[0050] Among them, F(T) is the difference between the heating power and the heat dissipation power, that is, the difference between the total heating power and the total heat dissipation power in the transmission line; then, it is determined whether the absolute value of the heating power-heat dissipation power difference is less than a preset convergence index value; if the absolute value of the heating power-heat dissipation power difference is less than the preset convergence index value, it is confirmed that the functional relationship has converged; by solving the functional relationship at the time of convergence, the conductor operating temperature of the transmission line at the time of convergence is obtained; the conductor operating temperature of the transmission line at the time of convergence is used as the first temperature data, and the above process is used as the construction process of the first transmission line temperature calculation model.

[0051] Step S103 : determining whether a first accuracy of the first transmission line temperature calculation model meets a preset accuracy based on the first temperature data through a conductor current flow test.

[0052] Specifically, before conducting the conductor current test, a transmission line test verification platform needs to be built. Please refer to Figure 2 , which shows a structural schematic diagram of a transmission line verification platform provided by an embodiment of the present application. In the transmission line test verification platform, the model of the test conductor is JLRX1 / JF1B-900 / 40, wherein the tested stranded wire 23 is connected to the fixed end 21 and the bracket 22, the voltage regulator 24 is connected to the high-current low-voltage transformer 25, and the 50Hz and 220V AC power is connected to the high-current low-voltage transformer 25 through the voltage regulator 24, and the current transformer 26 is connected to the ammeter 27. The high-current low-voltage transformer 25 and the current transformer 26 are connected to the tested stranded wire 23 via a connecting copper bus 28. The test conditions during the test conductor current flow process are shown in Table 1.

[0053] Table 1 Parameters related to conductor temperature calculation

[0054]

[0055] The comparison results of the calculated and tested values ​​of the conductor temperature when different currents pass through the test conductor are shown in Table 2.

[0056] Table 2 Comparison of calculated and tested temperature values

[0057]

[0058]

[0059] At this time, by conducting a conductor current flow test under first preset experimental conditions, which include fixed wind speed conditions, fixed sunshine intensity conditions, fixed ambient temperature conditions, and natural convection conditions, a first functional relationship corresponding to the first temperature data and the conductor current carrying capacity is constructed through the conductor current flow test; then, the actual temperature data is obtained, and a second functional relationship corresponding to the actual temperature data and the conductor current carrying capacity is constructed; please refer to Figure 3 , which shows a schematic diagram of the function curves represented by the first functional relationship and the second functional relationship provided in the embodiment of the application, wherein the curve corresponding to the calculation result is the first functional relationship, and the curve corresponding to the experimental result is the second functional relationship. In this figure, the conductor temperature corresponding to each current carrying capacity calculated by the conductor temperature calculation model is basically consistent with the measured value, and the actual target temperature data corresponding to each first target temperature data is determined respectively, wherein the first target temperature data is the first temperature data corresponding to any one conductor current carrying capacity determined according to the first functional relationship among multiple first temperature data, and the actual target temperature data is the first temperature data corresponding to any one conductor current carrying capacity determined according to the second functional relationship among multiple actual temperature data. The actual temperature data corresponding to any conductor current carrying capacity determined by the functional relationship; multiple error values ​​between each first target temperature data and the corresponding actual target temperature data are calculated, and the multiple error values ​​are sorted from large to small to obtain the maximum error value among the multiple error values, that is, the vertical coordinate differences of the points corresponding to the same horizontal coordinates in the first functional relationship and the second functional relationship are calculated respectively, and the multiple differences are sorted to find the maximum difference value. At this time, as shown in Table 2, the maximum error between the first curve and the second curve is only 4.5%, that is, the maximum error value is less than or equal to the preset error value, which is within the acceptable error range of the project, and by Figure 3 It can be seen that the conductor temperature-current carrying capacity curves obtained by the two methods are almost completely overlapped, and the conductor temperature is approximately linearly related to the current carrying capacity. Therefore, it is considered that the first accuracy meets the preset accuracy. At this time, the first transmission line temperature calculation model is reliable and the calculation result has a certain accuracy. If the maximum error between the first curve and the second curve is greater than the preset error value, it is considered that the first accuracy does not meet the preset accuracy. At this time, the first transmission line temperature calculation model is unreliable and needs to be improved through the next steps.

[0060] Step S104: If the first accuracy of the first transmission line temperature calculation model does not meet the preset accuracy, the influence degree of multiple error influencing factors on the temperature calculation model is obtained, and the multiple error influencing factors include ambient temperature influencing factors, vertical line wind speed influencing factors, and sunshine intensity influencing factors.

[0061] Specifically, if the first accuracy of the first transmission line temperature calculation model does not meet the preset accuracy, it is necessary to analyze the reasons for the difference between the conductor current test results and the calculation results, and obtain the degree of influence of multiple error influencing factors on the temperature calculation model. The multiple error influencing factors include ambient temperature influencing factors, vertical line wind speed influencing factors, and sunshine intensity influencing factors.

[0062] In one possible embodiment, step S104 further includes: when the error influencing factor is a vertical line wind speed influencing factor, constructing a third functional relationship between the actual temperature data and the conductor current carrying capacity under the second preset experimental conditions, the second preset experimental conditions including a wind speed change condition, a fixed sunshine intensity condition, a fixed ambient temperature condition, and a natural convection condition; obtaining the degree of influence of the vertical line wind speed influencing factor on the temperature calculation model according to the third functional relationship; when the error influencing factor is a sunshine intensity influencing factor, constructing a fourth functional relationship between the actual temperature data and the conductor current carrying capacity under the third preset experimental conditions, the third preset experimental conditions including a wind speed fixed condition, a sunshine intensity change condition, a fixed ambient temperature fixed condition, and a natural convection condition; obtaining the degree of influence of the sunshine intensity influencing factor on the temperature calculation model according to the fourth functional relationship; when the error influencing factor is an ambient temperature influencing factor, constructing a fifth functional relationship between the actual temperature data and the conductor current carrying capacity under the fourth preset experimental conditions, the fourth preset experimental conditions including a wind speed fixed condition, a sunshine intensity fixed condition, a ambient temperature change condition, and a natural convection condition; obtaining the degree of influence of the ambient temperature influencing factor on the temperature calculation model according to the fifth functional relationship.

[0063] Specifically, the reasons for the differences between the conductor current-carrying test results and the calculated results mainly include the following two reasons: 1. The environmental conditions cannot remain unchanged in actual tests, especially the wind speed will fluctuate, and it is actually impossible to achieve a completely windless test environment. The wind speed in the first transmission line temperature calculation model is fixed at 0.03m / s, which leads to deviations in the conductor temperature calculation results corresponding to some current carrying capacities; 2. The first transmission line temperature calculation model is based on the conductor thermal balance equation, and the conductor temperature obtained is a steady-state calculation result under a constant current carrying capacity. However, the temperature rise will continue for a period of time after the conductor passes through the current, so the test monitoring temperature is not the monitoring temperature when the conductor is completely in a steady state, which leads to deviations in the calculation results. Therefore, considering the above two environmental temperature influencing factors and judging their degree of influence, it is first necessary to establish a relationship curve between conductor temperature and current carrying capacity in the transmission line under standard conditions. Please refer to Figure 4 , which shows a schematic diagram of the conductor temperature-current carrying capacity curve under a reference environmental parameter provided in an embodiment of this application. Figure 4 As shown in the calculation results, when the ambient temperature is 40℃, the wind speed in the vertical direction of the line is 0.5m / s, and the sunshine intensity is 1000W / m2 When the current carrying capacity increases, the conductor temperature increases, and as the current carrying capacity increases, the conductor temperature changes faster, and the slope of the conductor temperature-current carrying capacity curve increases. When the current carrying capacity of the conductor increases from 100A to 1200A, the corresponding conductor temperature increases from 53.24℃ to 172.14℃. The maximum allowable operating temperature of a general carbon fiber composite core conductor is 160℃. Figure 4 It can be seen that under the benchmark environmental parameters, the maximum current carrying capacity of the conductor can be increased to about 1120A. Then, the relationship curve between the temperature and current carrying capacity of the conductor in the transmission line due to the influence of ambient temperature and the relationship curve between the temperature and current carrying capacity of the conductor in the transmission line due to the influence of vertical line wind speed are analyzed respectively, thereby obtaining the degree of influence of different influencing factors on the first transmission line temperature calculation model.

[0064] Analysis of the influence of vertical line wind speed: Under the second preset experimental condition, by changing the vertical line wind speed, and obtaining multiple conductor temperature-capacity curves under different vertical line wind speeds, the second preset condition is: the vertical line direction wind speed is set to 0.1m / s, 0.5m / s, and 2m / s respectively, and the ambient temperature and sunlight intensity are still based on the benchmark parameters. Calculate the change in conductor current carrying capacity of 100~1500A conductors corresponding to conductor temperature at different ambient temperatures. Please refer to Figure 5 , which shows a schematic diagram of the conductor temperature-current carrying capacity curve under different wind speeds provided in the embodiment of this application. Figure 5 The calculation results show that, for a constant current carrying capacity, the greater the wind speed in the perpendicular direction, the lower the conductor temperature. This is primarily because wind speed is related to convective heat dissipation: higher wind speeds increase the convective heat dissipation power of the conductor, thus reducing conductor temperature. Comparing the conductor temperature-current carrying capacity curves at different wind speeds shows that the greater the current carrying capacity, the greater the impact of wind speed on conductor temperature. At lower current carrying capacities, such as 100A, the temperatures of the corresponding carbon fiber composite core conductors are almost identical, with a difference of only approximately 10°C. For a maximum allowable conductor operating temperature of 160°C, the maximum allowable conductor current carrying capacity for different perpendicular wind speeds is as follows: at a vertical wind speed of 0.1m / s, the maximum allowable conductor current carrying capacity is approximately 900A; at a vertical wind speed of 0.5m / s, the maximum allowable conductor current carrying capacity is approximately 1120A; and at a vertical wind speed of 2m / s, the maximum allowable conductor current carrying capacity is approximately 1450A.

[0065] The influence degree of the factor of sunshine intensity is analyzed. Under the third preset experimental condition, by changing the sunshine intensity, the conductor temperature-current carrying capacity curves under different sunshine intensities are obtained. The third preset experimental condition is specifically: the sunshine intensity is 0W / m 2 , 1000W / m 2 , 2000W / m 2, the ambient temperature and wind speed are still based on the reference parameters. To calculate the change in the current carrying capacity of 100~1500A wires corresponding to the wire temperature at different ambient temperatures, please refer to Figure 6 , which shows a schematic diagram of the conductor temperature-current carrying capacity change curve under different sunlight intensities provided in the embodiment of this application, based on Figure 6 The calculation results show that when the current carrying capacity is constant, the greater the sunshine intensity, the higher the conductor temperature. This is mainly because the sunshine intensity is related to the sunshine heat absorption power of the conductor. The greater the sunshine intensity, the greater the sunshine heat absorption power of the conductor, so the conductor temperature increases. From the comparison of the conductor temperature-current carrying capacity curve under different sunshine intensities, the greater the current carrying capacity, the smaller the impact of sunshine intensity on conductor temperature. When the maximum allowable operating temperature of the conductor is 160℃, the maximum allowable current carrying capacity of the conductor corresponding to different sunshine intensities is as follows: Sunshine intensity is 0W / m 2 When the maximum allowable current carrying capacity of the conductor is about 1090A; the sunlight intensity is 1000W / m 2 When the maximum allowable current carrying capacity of the conductor is about 1120A; the sunlight intensity is 2000W / m 2 The maximum allowable current carrying capacity of the wire is about 1200A.

[0066] Analysis of the influence of ambient temperature: Under the fourth preset experimental condition, by changing the ambient temperature, and obtaining the conductor temperature-capacity curves at different ambient temperatures, the fourth preset experimental condition is specifically: ambient temperature is 0℃, 20℃, 40℃, the wind speed and sunlight intensity in the vertical direction of the line are unchanged, calculate the change of the conductor current carrying capacity of 100~1500A conductors at different ambient temperatures corresponding to the conductor temperature, please refer to Figure 7 , which shows a schematic diagram of the wire temperature-current carrying capacity change curve at different ambient temperatures provided in the embodiment of this application, according to Figure 7 According to the calculation results, when the current carrying capacity is constant, the higher the ambient temperature, the higher the conductor temperature. From the comparison of the conductor temperature-current carrying capacity curve under different ambient temperatures, the higher the current carrying capacity, the smaller the impact of the ambient temperature on the conductor temperature. When the maximum allowable operating temperature of the conductor is 160℃, the maximum allowable current carrying capacity of the conductor corresponding to different ambient temperatures is as follows: when the ambient temperature is 0℃, the maximum allowable current carrying capacity of the conductor is about 1900A; when the ambient temperature is 20℃, the maximum allowable current carrying capacity of the conductor is about 1205A; when the ambient temperature is 40℃, the maximum allowable current carrying capacity of the conductor is about 1120A.

[0067] According to the above analysis, when the current carrying capacity is small, such as 100A, the conductor temperature increases by about 40℃ when the ambient temperature increases from 0℃ to 40℃, and the sunlight intensity increases from 0W / m 2 Increased to 1000W / m 2When the wind speed changes, the conductor temperature increases by only about 20℃, and the impact of wind speed changes is even smaller, with the conductor temperature increasing by only about 15℃. For the case of a larger current carrying capacity, such as 1200A, changes in sunlight intensity and ambient temperature cause the conductor temperature change to be less than 90℃. However, when the ambient wind speed increases from 0.1m / s to 2m / s, the conductor temperature change almost exceeds 100℃, with a significant impact.

[0068] Step S105 , improving the first transmission line temperature calculation model according to the influence of multiple error influencing factors on the temperature calculation model to obtain an improved second transmission line temperature calculation model, where the second transmission line temperature calculation model is used to obtain second temperature data in the transmission line.

[0069] Specifically, based on the degree of influence of the error influencing factors on the temperature calculation model analyzed in step S104, the first transmission line temperature calculation model is improved. For each error influencing factor, the model parameters are adjusted and a dynamic adjustment mechanism is introduced to enable the model to respond to environmental changes in real time. During the optimization process, multiple tests are conducted to verify the consistency of the improved model with the actual temperature data. The effectiveness of the model optimization is evaluated by comparing the errors. If the error of the optimized model is less than a preset threshold, the model optimization is confirmed to be successful and updated to the second transmission line temperature calculation model. Otherwise, parameter adjustment and verification continue until the accuracy requirements are met.

[0070] Step S106 , judging whether the second accuracy of the second transmission line temperature calculation model meets a preset accuracy based on the second temperature data through a conductor current flow test.

[0071] Specifically, the same test is performed on the second power transmission line temperature calculation model according to the method in step S103, and it is determined whether the second accuracy of the improved calculation model meets the preset accuracy.

[0072] Step S107: If the second accuracy of the second transmission line temperature calculation model meets the preset accuracy, the second transmission line temperature calculation model is used to perform a temperature monitoring operation on the transmission line in real time.

[0073] Specifically, if the second accuracy of the second transmission line temperature calculation model meets the preset accuracy, the second transmission line temperature calculation model is used to perform temperature monitoring on the transmission line in real time; if the second transmission line temperature calculation model still does not meet the second accuracy but meets the preset accuracy, the second transmission line temperature calculation model is continued until the prediction accuracy corresponding to the improved model meets the preset accuracy, wherein the preset accuracy is the accuracy set according to actual monitoring needs.

[0074] The present application adopts the above method. When the user performs temperature monitoring operation on the transmission line, the steady-state temperature data corresponding to the transmission line is obtained. According to the steady-state temperature data, a first transmission line temperature calculation model is constructed through a heat balance equation. The first transmission line temperature calculation model is used to obtain the first temperature data in the transmission line. Through a conductor current test, it is determined according to the first temperature data whether the first accuracy of the first transmission line temperature calculation model meets the preset accuracy. If the first accuracy of the first transmission line temperature calculation model does not meet the preset accuracy, the influence degree of multiple error influencing factors on the temperature calculation model is obtained, and according to the influence degree of multiple error influencing factors on the temperature calculation model, the first transmission line temperature calculation model is modified. The improved second transmission line temperature calculation model is obtained. The second transmission line temperature calculation model is used to obtain second temperature data in the transmission line. In the same manner, a conductor current flow test is performed and the second temperature data is used to determine whether the second accuracy of the second transmission line temperature calculation model meets the preset accuracy. When the second accuracy of the second transmission line temperature calculation model meets the preset accuracy, it is confirmed that the transmission line temperature calculation model has been improved. The second transmission line temperature calculation model is used to perform real-time temperature monitoring on the transmission line, and then accurately combine various influencing factors to analyze the degree of influence of the error influencing factors on the temperature parameters in the conductor, so as to improve the accuracy of real-time temperature monitoring of the transmission line.

[0075] Please refer to Figure 8 , which shows a module schematic diagram of a temperature monitoring device in a power transmission line provided by an embodiment of the present application. The device is a server, and the server includes a temperature measurement module 81, a main control module 82 and an output module 83, wherein,

[0076] a temperature measurement module 81 configured to obtain steady-state temperature data corresponding to the transmission line in response to a temperature monitoring operation on the transmission line, the steady-state temperature data being temperature data corresponding to the transmission line under normal operation; and constructing a first transmission line temperature calculation model based on the steady-state temperature data and using a heat balance equation, the first transmission line temperature calculation model being configured to obtain first temperature data in the transmission line;

[0077] a main control module 82 configured to determine, based on the first temperature data and through a conductor current flow test, whether a first accuracy of the first transmission line temperature calculation model satisfies a preset accuracy; and if the first accuracy of the first transmission line temperature calculation model does not satisfy the preset accuracy, obtain the degree of influence of multiple error influencing factors on the temperature calculation model, the multiple error influencing factors including an ambient temperature influencing factor, a vertical line wind speed influencing factor, and a sunlight intensity influencing factor;

[0078] The output module 83 is used to improve the first transmission line temperature calculation model based on the degree of influence of multiple error influencing factors on the temperature calculation model to obtain an improved second transmission line temperature calculation model, where the second transmission line temperature calculation model is used to obtain second temperature data in the transmission line; through a conductor current test, determine whether the second accuracy of the second transmission line temperature calculation model meets the preset accuracy based on the second temperature data; if the second accuracy of the second transmission line temperature calculation model meets the preset accuracy, then perform real-time temperature monitoring operations on the transmission line through the second transmission line temperature calculation model.

[0079] In one possible embodiment, the temperature measurement module 81 is used to construct a first transmission line temperature calculation model based on steady-state temperature data and through a heat balance equation, specifically including: constructing a functional relationship between the heating power-heat dissipation power difference and the initial value of the conductor output temperature based on the steady-state temperature data and through a heat balance equation, the steady-state temperature data includes Joule heating data, sunlight absorption data, radiation heat dissipation data, convection heat dissipation data, line current carrying capacity data and AC resistance data, and the heating power-heat dissipation power difference is the difference between the total heating power and the total heat dissipation power in the transmission line; constructing the first transmission line temperature calculation model according to the functional relationship.

[0080] In one possible implementation, the temperature measurement module 81 is used to obtain the first temperature data in the transmission line, specifically including: determining whether the absolute value of the difference between the heating power and the heat dissipation power is less than a preset convergence index value; if the absolute value of the difference between the heating power and the heat dissipation power is less than the preset convergence index value, confirming that the functional relationship has converged; solving the functional relationship at the time of convergence to obtain the conductor operating temperature of the transmission line at the time of convergence; and using the conductor operating temperature of the transmission line at the time of convergence as the first temperature data.

[0081] In one possible embodiment, the main control module 82 is used to determine whether the first accuracy of the first transmission line temperature calculation model meets the preset accuracy based on the first temperature data through a conductor current test, specifically including: performing a conductor current test under first preset experimental conditions, the first preset experimental conditions including a fixed wind speed condition, a fixed sunshine intensity condition, a fixed ambient temperature condition, and a natural convection condition; constructing a first functional relationship corresponding to the first temperature data and the conductor current carrying capacity through the conductor current test; obtaining actual temperature data and constructing a second functional relationship corresponding to the actual temperature data and the conductor current carrying capacity; respectively determining the actual target temperature data corresponding to each first target temperature data, wherein the first target temperature data The data is first temperature data corresponding to any one conductor current carrying capacity determined according to a first functional relationship among a plurality of first temperature data, and the actual target temperature data is actual temperature data corresponding to any one conductor current carrying capacity determined according to a second functional relationship among a plurality of actual temperature data; multiple error values ​​between each first target temperature data and the corresponding actual target temperature data are calculated, and the multiple error values ​​are sorted from large to small to obtain a maximum error value among the multiple error values; it is determined whether the maximum error value is greater than a preset error value; if the maximum error value is greater than the preset error value, it is determined that the first accuracy does not meet the preset accuracy; if the maximum error value is less than or equal to the preset error value, it is determined that the first accuracy meets the preset accuracy.

[0082] In one possible embodiment, the main control module 82 is used to obtain the degree of influence of multiple error influencing factors on the temperature calculation model when the error influencing factor is the vertical line wind speed influencing factor, specifically including: constructing a third functional relationship corresponding to the actual temperature data and the conductor current carrying capacity under the second preset experimental conditions, the second preset experimental conditions including wind speed change conditions, fixed sunshine intensity, fixed ambient temperature conditions and natural convection conditions; according to the third functional relationship, obtaining the degree of influence of the vertical line wind speed influencing factor on the temperature calculation model.

[0083] In one possible embodiment, the main control module 82 is used to obtain the degree of influence of multiple error influencing factors on the temperature calculation model when the error influencing factor is the sunlight intensity influencing factor, specifically including: constructing a fourth functional relationship corresponding to the actual temperature data and the conductor current carrying capacity under the third preset experimental conditions, the third preset experimental conditions including a fixed wind speed condition, a changing sunlight intensity condition, a fixed ambient temperature condition, and a natural convection condition; according to the fourth functional relationship, obtaining the degree of influence of the sunlight intensity influencing factor on the temperature calculation model.

[0084] In one possible embodiment, the main control module 82 is used to obtain the degree of influence of multiple error influencing factors on the temperature calculation model when the error influencing factor is the ambient temperature influencing factor, specifically including: constructing a fifth functional relationship corresponding to the actual temperature data and the conductor current carrying capacity under the fourth preset experimental conditions, the fourth preset experimental conditions including a fixed wind speed condition, a fixed sunshine intensity condition, an ambient temperature change condition and a natural convection condition; according to the fifth functional relationship, obtaining the degree of influence of the ambient temperature influencing factor on the temperature calculation model.

[0085] It should be noted that the above embodiments provide devices that implement their functions using only the division of the above functional modules as examples. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. In addition, the device and method embodiments provided in the above embodiments are based on the same concept. The specific implementation process is detailed in the method embodiment and will not be repeated here.

[0086] This application also provides an electronic device. Figure 9 , Figure 9 9 is a schematic diagram of the structure of an electronic device provided by an embodiment of the present application. The electronic device may include: at least one processor 901, at least one communication bus 902, a user interface 903, at least one network interface 904, and a memory 905.

[0087] The communication bus 902 is used to implement connection and communication between these components.

[0088] The user interface 903 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 903 may also include a standard wired interface and a wireless interface.

[0089] The network interface 904 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0090] The processor 901 may include one or more processing cores. The processor 901 utilizes various interfaces and lines to connect various parts of the entire server, and executes various server functions and processes data by running or executing instructions, programs, code sets, or instruction sets stored in the memory 905, and calling data stored in the memory 905. Optionally, the processor 901 may be implemented in at least one hardware form of digital signal processing (DSP), field-programmable gate array (FPGA), or programmable logic array (PLA). The processor 901 may integrate one or a combination of a central processing unit (CPU), a graphics processing unit (GPU), and a modem. The CPU primarily processes the operating system, user interface, and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display; and the modem is used to handle wireless communications. It is understandable that the above-mentioned modem may not be integrated into the processor 901 and may be implemented separately via a single chip.

[0091] Among them, the memory 905 may include a random access memory (RAM) or a read-only memory (Read-Only Memory). Optionally, the memory 905 includes a non-transitory computer-readable storage medium. The memory 905 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 905 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 905 may also be optionally at least one storage device located away from the aforementioned processor 901. Reference Figure 9 , the memory 905 as a computer storage medium may include an operating system, a network communication module, a user interface module and a temperature monitoring application program in the power transmission line.

[0092] exist Figure 9In the electronic device shown, the user interface 903 is mainly used to provide an input interface for the user and obtain the data input by the user; and the processor 901 can be used to call the temperature monitoring application stored in the transmission line in the memory 905. When executed by one or more processors 901, the electronic device executes one or more of the methods described in the above embodiments. It should be noted that for the aforementioned method embodiments, for the sake of simplicity of description, they are all expressed as a series of action combinations, but those skilled in the art should know that this application is not limited to the order of the actions described, because according to this application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for this application.

[0093] The present application also provides a computer-readable storage medium storing instructions, which, when executed by one or more processors, enable an electronic device to execute one or more of the methods described in the above embodiments.

[0094] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0095] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are merely schematic, such as the division of units, which is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interface, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0096] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0097] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0098] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a memory and includes several instructions for enabling a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned memory includes various media that can store program codes, such as USB flash drives, mobile hard drives, magnetic disks or optical disks.

[0099] The foregoing description is merely an exemplary embodiment of the present disclosure and does not limit the scope of the present disclosure. In other words, any equivalent variations and modifications made based on the teachings of the present disclosure are still within the scope of the present disclosure. Those skilled in the art will readily conceive of other embodiments of the present disclosure after considering the disclosure and practical experience.

[0100] This application is intended to cover any modifications, uses or adaptations disclosed in this application, which follow the general principles disclosed in this application and include common knowledge or customary technical means in the technical field not disclosed in this application.

Claims

1. A method for monitoring temperature in a transmission line, characterized in that: The method comprises: In response to a temperature monitoring operation on a transmission line, obtaining steady-state temperature data corresponding to the transmission line, wherein the steady-state temperature data is temperature data corresponding to the transmission line in a normal operating state; constructing a first transmission line temperature calculation model based on the steady-state temperature data and using a heat balance equation, wherein the first transmission line temperature calculation model is used to obtain first temperature data in the transmission line; determining, through a conductor current flow test, whether a first accuracy of the first transmission line temperature calculation model meets a preset accuracy based on the first temperature data; If the first accuracy of the first transmission line temperature calculation model does not meet the preset accuracy, obtaining the degree of influence of multiple error influencing factors on the temperature calculation model, the multiple error influencing factors including an ambient temperature influencing factor, a vertical line wind speed influencing factor, and a sunshine intensity influencing factor; performing model improvement on the first transmission line temperature calculation model according to the degree of influence of the plurality of error influencing factors on the temperature calculation model to obtain an improved second transmission line temperature calculation model, wherein the second transmission line temperature calculation model is used to obtain second temperature data in the transmission line; determining, through a conductor current flow test, whether a second accuracy of the second transmission line temperature calculation model meets the preset accuracy based on the second temperature data; If the second accuracy of the second transmission line temperature calculation model meets the preset accuracy, performing the temperature monitoring operation on the transmission line in real time through the second transmission line temperature calculation model; Constructing a first transmission line temperature calculation model based on the steady-state temperature data and using a heat balance equation, specifically comprising: constructing a functional relationship between a heating power-heat dissipation power difference and an initial value of a conductor output temperature based on the steady-state temperature data and using the heat balance equation, wherein the steady-state temperature data includes Joule heating data, sunlight absorption data, radiation heat dissipation data, convection heat dissipation data, line current carrying capacity data, and AC resistance data, and the heating power-heat dissipation power difference is the difference between the total heating power and the total heat dissipation power in the transmission line; and constructing the first transmission line temperature calculation model based on the functional relationship; The method of judging whether the first accuracy of the first transmission line temperature calculation model meets the preset accuracy according to the first temperature data through the conductor current flow test specifically includes: performing the conductor current flow test under first preset experimental conditions, wherein the first preset experimental conditions include a fixed wind speed condition, a fixed sunshine intensity condition, a fixed ambient temperature condition, and a natural convection condition; constructing a first functional relationship between the first temperature data and the conductor current carrying capacity through the conductor current flow test; obtaining actual temperature data, and constructing a second functional relationship between the actual temperature data and the conductor current carrying capacity; respectively determining the actual target temperature data corresponding to each first target temperature data, wherein the first target temperature data is a plurality of the first temperature data, according to the first target temperature data. The first temperature data corresponds to any one of the conductor current carrying capacity determined by the functional relationship, and the actual target temperature data is the actual temperature data corresponding to any one of the conductor current carrying capacity determined according to the second functional relationship among the multiple actual temperature data; calculating multiple error values ​​between each of the first target temperature data and the corresponding actual target temperature data, and sorting the multiple error values ​​in descending order to obtain the maximum error value among the multiple error values; judging whether the maximum error value is greater than a preset error value; if the maximum error value is greater than the preset error value, judging that the first accuracy does not meet the preset accuracy; if the maximum error value is less than or equal to the preset error value, judging that the first accuracy meets the preset accuracy.

2. The method according to claim 1, characterized in that The obtaining of first temperature data in the transmission line specifically includes: Determining whether the absolute value of the difference between the heating power and the heat dissipation power is less than a preset convergence index value; If the absolute value of the difference between the heating power and the heat dissipation power is less than the preset convergence index value, it is confirmed that the functional relationship has converged; Solving the functional relationship at the time of convergence to obtain the conductor operating temperature of the transmission line at the time of convergence; The operating temperature of the conductor of the transmission line at the time of convergence is used as the first temperature data.

3. The method according to claim 1, characterized in that When the error influencing factor is the vertical line wind speed influencing factor, obtaining the influence degree of multiple error influencing factors on the temperature calculation model specifically includes: constructing a third functional relationship between the actual temperature data and the current carrying capacity of the conductor under second preset experimental conditions, wherein the second preset experimental conditions include a wind speed change condition, a constant sunshine intensity, a constant ambient temperature condition, and a natural convection condition; According to the third functional relationship, the degree of influence of the vertical line wind speed influencing factor on the temperature calculation model is obtained.

4. The method according to claim 1, wherein When the error influencing factor is the sunshine intensity influencing factor, obtaining the influence degree of multiple error influencing factors on the temperature calculation model specifically includes: constructing a fourth functional relationship between the actual temperature data and the current carrying capacity of the conductor under third preset experimental conditions, wherein the third preset experimental conditions include a fixed wind speed condition, a changing sunshine intensity condition, a fixed ambient temperature condition, and a natural convection condition; According to the fourth functional relationship, the degree of influence of the sunlight intensity influencing factor on the temperature calculation model is obtained.

5. The method according to claim 1, wherein When the error influencing factor is the ambient temperature influencing factor, obtaining the influence of multiple error influencing factors on the temperature calculation model specifically includes: constructing a fifth functional relationship between the actual temperature data and the current carrying capacity of the conductor under fourth preset experimental conditions, wherein the fourth preset experimental conditions include a fixed wind speed condition, a fixed sunshine intensity condition, a changing ambient temperature condition, and a natural convection condition; According to the fifth functional relationship, the degree of influence of the ambient temperature influencing factor on the temperature calculation model is obtained.

6. A temperature monitoring device in a power transmission line, characterized in that: The device includes a temperature measurement module, a main control module and an output module, wherein: The temperature measurement module is configured to obtain steady-state temperature data corresponding to the transmission line in response to a temperature monitoring operation on the transmission line, wherein the steady-state temperature data is temperature data corresponding to the transmission line under normal operation; construct a first transmission line temperature calculation model based on the steady-state temperature data and through a heat balance equation, wherein the first transmission line temperature calculation model is configured to obtain first temperature data in the transmission line; construct the first transmission line temperature calculation model based on the steady-state temperature data and through a heat balance equation, specifically comprising: constructing a functional relationship between a heating power-heat dissipation power difference and an initial value of a conductor output temperature based on the steady-state temperature data and through the heat balance equation, wherein the steady-state temperature data includes Joule heating data, sunlight absorption data, radiation heat dissipation data, convection heat dissipation data, line current carrying capacity data, and AC resistance data, wherein the heating power-heat dissipation power difference is the difference between the total heating power and the total heat dissipation power in the transmission line; and constructing the first transmission line temperature calculation model based on the functional relationship; The main control module is used to determine whether the first accuracy of the first transmission line temperature calculation model meets the preset accuracy based on the first temperature data through a conductor current test; if the first accuracy of the first transmission line temperature calculation model does not meet the preset accuracy, obtain the degree of influence of multiple error influencing factors on the temperature calculation model, and the multiple error influencing factors include ambient temperature influencing factors, vertical line wind speed influencing factors and sunshine intensity influencing factors; the conductor current test is used to determine whether the first accuracy of the first transmission line temperature calculation model meets the preset accuracy based on the first temperature data, specifically including: performing the conductor current test under first preset experimental conditions, the first preset experimental conditions including fixed wind speed conditions, fixed sunshine intensity conditions, fixed ambient temperature conditions and natural convection conditions; constructing a first functional relationship between the first temperature data and the conductor current carrying capacity through the conductor current test; obtaining actual temperature data, and constructing the actual a second functional relationship between the temperature data and the current carrying capacity of the conductor; respectively determining the actual target temperature data corresponding to each first target temperature data, wherein the first target temperature data is the first temperature data corresponding to any one of the plurality of first temperature data determined according to the first functional relationship, and the actual target temperature data is the actual temperature data corresponding to any one of the plurality of actual temperature data determined according to the second functional relationship; calculating multiple error values ​​between each of the first target temperature data and the corresponding actual target temperature data, and sorting the multiple error values ​​in descending order to obtain the maximum error value among the multiple error values; judging whether the maximum error value is greater than a preset error value; if the maximum error value is greater than the preset error value, judging that the first accuracy does not meet the preset accuracy; if the maximum error value is less than or equal to the preset error value, judging that the first accuracy meets the preset accuracy; The output module is used to improve the first transmission line temperature calculation model according to the degree of influence of multiple error influencing factors on the temperature calculation model to obtain an improved second transmission line temperature calculation model, and the second transmission line temperature calculation model is used to obtain second temperature data in the transmission line; through a conductor current test, determine whether the second accuracy of the second transmission line temperature calculation model meets the preset accuracy based on the second temperature data; if the second accuracy of the second transmission line temperature calculation model meets the preset accuracy, then perform the temperature monitoring operation on the transmission line in real time through the second transmission line temperature calculation model.

7. An electronic device, characterized in that: The electronic device comprises a processor, a communication bus, a user interface, a network interface and a memory, wherein the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes the method according to any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that The computer-readable storage medium stores instructions, and when the instructions are executed, the method according to any one of claims 1 to 5 is performed.

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