Temperature monitoring method and device in power transmission line

Abstract

The invention provides a temperature monitoring method and device in a power transmission line, and relates to the technical field of power transmission lines. The method comprises the following steps: acquiring steady-state temperature data corresponding to a power transmission line in response to a temperature monitoring operation for the power transmission line; according to the steady-state temperature data, constructing a first power transmission line temperature calculation model through a heat balance equation; through a wire through-flow test, if first accuracy corresponding to the first power transmission line temperature calculation model does not meet preset accuracy according to first temperature data calculated by the first power transmission line temperature calculation model, obtaining the influence degree of a plurality of error influence factors on the temperature calculation model; according to the influence degree of the plurality of error influence factors on the temperature calculation model, performing model improvement on the first power transmission line temperature calculation model to obtain an improved second power transmission line temperature calculation model; and performing temperature monitoring operation on the power transmission line in real time through the second power transmission line temperature calculation model if it is confirmed that the second accuracy of the second power transmission line temperature calculation model meets the preset accuracy according to second temperature data calculated by the second power transmission line temperature calculation model through a wire through-flow test. According to the invention, the problems of low monitoring efficiency and low monitoring accuracy caused by analyzing the influence degree of error influence factors on the temperature parameters in the wire by only depending on manual routing inspection which needs to consume a large amount of manpower and material resources to cover the whole network and cannot accurately combine the influence factors in multiple aspects are solved.

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 use 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] At present, the monitoring and measurement of the temperature parameters of the conductors are usually achieved through manual inspections. Technicians regularly go to the transmission line site and use handheld thermometers, infrared thermal imagers and other equipment to monitor the temperature parameters of the conductors. However, due to the wide distribution of transmission lines and the complex factors affecting the temperature parameter indicators in the conductors, manual inspections alone not only require 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 conductors, that is, there are problems of low monitoring efficiency and low monitoring accuracy.

[0004] Therefore, there is an urgent need for a temperature monitoring method and device in a power 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 manual inspection alone not only requires a large amount of manpower and material resources to cover the entire network, but also cannot accurately combine various influencing factors to analyze the degree of influence of error influencing factors on 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 in a normal operating state; constructing a first transmission line temperature calculation model according to 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 according to the first temperature data through a conductor current flow 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 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 judged 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 operation on the transmission line.

[0007] Optionally, a first transmission line temperature calculation model is constructed based on steady-state temperature data and through a heat balance equation, specifically including: based on the steady-state temperature data and through a heat balance equation, a functional relationship between a heating power-heat dissipation power difference and an initial value of the conductor output temperature is constructed, 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 a heating power-heat dissipation power difference is a difference between a total heating power and a total heat dissipation power in the transmission line; and a first transmission line temperature calculation model is constructed based on 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 a preset accuracy according to 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 between 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 between the actual temperature data and the conductor current carrying capacity; respectively determining actual target temperature data corresponding to each first target temperature data, wherein the first target temperature data is a plurality of first temperature The data includes first temperature data corresponding to any one conductor current carrying capacity determined according to a first functional relationship, and the actual target temperature data includes actual temperature data corresponding to any one conductor current carrying capacity determined according to a 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; 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.

[0010] Optionally, when the error influencing factor is a 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 an 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 respond to the temperature monitoring operation on the transmission line and obtain the steady-state temperature data corresponding to the transmission line, the steady-state temperature data being 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, and the first transmission line temperature calculation model is used to obtain the 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 according to the first temperature data through a conductor current flow test; if the first accuracy of the first transmission line temperature calculation model does not meet the preset accuracy, obtain the influence degree 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 according to the influence degree of multiple error influencing factors on the temperature calculation model, so as 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 judged 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 operations on the transmission line.

[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 executes any one 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 the present application have at least the following technical effects or advantages:

[0020] 1. When the user performs temperature monitoring operation on 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 according to the steady-state temperature data and through a heat balance equation. The first transmission line temperature calculation model is used to obtain first temperature data in the transmission line. Through a conductor current flow 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 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 way, through the conductor current flow test, it is judged according to 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 is improved. Through the second transmission line temperature calculation model, the transmission line is temperature monitored in real time, and then the various influencing factors are accurately combined to analyze the 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.

[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 the actual temperature data, and construct a second functional relationship between the actual temperature data and the conductor current carrying capacity, so as to respectively determine the actual target temperature data corresponding to each first target temperature data, calculate multiple error values ​​between each first target temperature data and the corresponding actual target temperature data, and sort the multiple error values ​​from large to small to obtain the maximum error value among the multiple error values, and determine whether the maximum error value is greater than the preset error value, and then determine 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 result can reflect the actual temperature state of the conductor, and the model is considered to be 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 need further analysis and optimization.

[0022] 3. By analyzing the influence of multiple error influencing factors on the temperature calculation model, including ambient temperature influencing factors, vertical line wind speed influencing factors and sunshine intensity influencing factors, the error in the transmission line temperature calculation model can be reduced, so that it can more accurately reflect the conductor temperature under actual working conditions, and finally build a more robust and adaptable transmission line temperature calculation model 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 It is a flow chart of a temperature monitoring method in a power transmission line provided in an embodiment of the present application;

[0024] Figure 2 It is a structural schematic diagram 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 It 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 It 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 sunshine 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 It is a module schematic diagram of a temperature monitoring device in a power transmission line provided in an embodiment of the present application;

[0031] Fig. 9 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application.

[0032] Explanation of the reference numerals: 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 technicians in this field 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 embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to be used as limitations to the present application. As used in the specification of the present application, the singular expressions "one", "a kind of", "said", "above", "the" and "this" are intended to also include plural expressions, unless there is a clear indication to the contrary in the context. 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 listed items.

[0035] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present 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 use 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] At present, the monitoring and measurement of the temperature parameters of the conductors are usually achieved through manual inspections. Technicians regularly go to the transmission line site and use handheld thermometers, infrared thermal imagers and other equipment to monitor the temperature parameters of the conductors. However, due to the wide distribution of transmission lines and the complex factors affecting the temperature parameter indicators in the conductors, manual inspections alone not only require 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 conductors, that is, there are problems of low monitoring efficiency and low monitoring accuracy.

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

[0040] Please refer to Figure 1 , which shows a flow chart of a temperature monitoring method in a power 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 the user performs temperature monitoring on the transmission line, the steady-state temperature data of the transmission line is obtained through the temperature sensor. The steady-state temperature data can be obtained in real time and uploaded to the server in real time through the communication module, and stored by the server for real-time call. The communication module samples LORA technology to improve the transmission distance and transmission efficiency of data transmission. Among them, the steady-state temperature data is the temperature data corresponding to the normal operation of the transmission line. The steady-state temperature data includes but is not limited to: the steady-state temperature data includes Joule heating data, sunshine absorption data, radiation heat dissipation data, convection heat dissipation data, line current carrying capacity data, AC resistance data, etc.

[0043] Step S102: constructing a first power transmission line temperature calculation model according to 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, according to 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, sunshine 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 the normal operation of the transmission line is mainly related to two types of heat generation and two types of heat dissipation, namely Joule heat generation, sunshine absorption, radiation heat dissipation and convection heat dissipation. At this time, a function F(T) with a 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 in normal operation, the sum of the Joule heating data and the sunshine heat absorption data of the conductor should be equal to the sum of the radiation heat dissipation data and the convection heat dissipation data of the conductor; then, the AC resistance, sunshine heat absorption, radiation heat dissipation, and convection heat dissipation are calculated respectively and brought into the function F(T) with the variable T, and the following is obtained:

[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 data of the conductor per unit length when the conductor temperature is 20℃; 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 ; 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 current carrying capacity of the conductor is I, and the ambient temperature, wind speed, wind direction angle, and sunshine 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 heating power and 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 difference between heating power and heat dissipation power is less than the preset convergence index value; if the absolute value of the difference between heating power and heat dissipation power is less than the preset convergence index value, it is confirmed that the functional relationship is 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, judging whether the first accuracy of the first transmission line temperature calculation model meets the preset accuracy according to 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 schematic diagram of the structure of a power transmission line verification platform provided by an embodiment of the present application. In the power line test verification platform, the model of the test wire 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, the current transformer 26 is connected to the ammeter 27, and the high-current low-voltage transformer 25 and the current transformer 26 are connected to the tested stranded wire 23 through the connecting copper bus 28. The test conditions during the test wire 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 value and the test value of the wire temperature when different currents pass through the test wire are shown in Table 2.

[0056] Table 2 Comparison results between calculated temperature values ​​and experimental values

[0057]

[0058]

[0059] At this time, by conducting a conductor current flow test under the first preset experimental conditions, 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, so as to construct a first functional relationship between the first temperature data and the conductor current carrying capacity through the conductor current flow test; then, the actual temperature data is obtained, and a second functional relationship between the actual temperature data and the conductor current carrying capacity is constructed; please refer to Figure 3 , which shows a schematic diagram of function curves respectively 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 difference of the points corresponding to the same horizontal coordinates in the first functional relationship and the second functional relationship is 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, obtain the influence degree 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.

[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 a possible implementation, 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 condition, the second preset experimental condition includes a wind speed change condition, a sunshine intensity fixed condition, an ambient temperature fixed condition, and a natural convection condition; according to the third functional relationship, obtaining the degree of influence of the vertical line wind speed influencing factor on the temperature calculation model; 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 condition, the third preset experimental condition includes a wind speed fixed condition, a sunshine intensity change condition, an ambient temperature fixed condition, and a natural convection condition; according to the fourth functional relationship, obtaining the degree of influence of the sunshine intensity influencing factor on the temperature calculation model; 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 condition, the fourth preset experimental condition includes a wind speed fixed condition, a sunshine intensity fixed 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.

[0063] Specifically, the reasons for the differences between the conductor current-carrying test results and the calculation results mainly include the following two reasons: 1. 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. In the first transmission line temperature calculation model, the wind speed 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 constant current carrying capacity. However, the temperature rise will continue for a period of time after the conductor is passed through the current. Therefore, 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 a conductor temperature-current carrying capacity curve under a reference environmental parameter provided in an embodiment of the present application. Figure 4 As shown in the calculation results, when the ambient temperature is 40°C, 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 with the current carrying capacity, 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 were analyzed respectively, so as to obtain the influence degree of different influencing factors on the temperature calculation model of the first transmission line.

[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 the conductor temperature-current carrying capacity curves under multiple different vertical line wind speeds, the second preset condition is: the vertical line direction wind speed is 0.1m / s, 0.5m / s, 2m / s respectively, the ambient temperature and sunshine intensity are still based on the benchmark parameters, and the change of the current carrying capacity of 100~1500A conductors corresponding to the conductor temperature under different ambient temperatures is calculated. Please refer to Figure 5 , which shows a schematic diagram of a conductor temperature-current carrying capacity curve under different wind speeds provided in an embodiment of the present application, according to Figure 5 According to the calculation results, when the current carrying capacity is constant, the greater the wind speed in the vertical line direction, the lower the conductor temperature. This is mainly because the wind speed is related to convective heat dissipation. The greater the wind speed, the greater the convective heat dissipation power of the conductor, so the conductor temperature decreases. From the comparison of the conductor temperature-current carrying capacity curve under different wind speeds, the greater the current carrying capacity, the greater the influence of wind speed on the conductor temperature. When the current carrying capacity is small, such as 100A current carrying capacity, the temperature of the corresponding carbon fiber composite core material conductor of this model is almost the same, with a difference of only about 10°C. When the maximum allowable operating temperature of the conductor is 160°C, the maximum allowable current carrying capacity of the conductor corresponding to different vertical line direction wind speeds is as follows: when the wind speed in the vertical line direction is 0.1m / s, the maximum allowable current carrying capacity of the conductor is about 900A; when the wind speed in the vertical line direction is 0.5m / s, the maximum allowable current carrying capacity of the conductor is about 1120A; when the wind speed in the vertical line direction is 2m / s, the maximum allowable current carrying capacity of the conductor is about 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 multiple 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 a conductor temperature-current carrying capacity variation curve under different sunshine intensities provided in an embodiment of the present application, according to Figure 6 According to the calculation results, when the current carrying capacity is constant, the greater the sunshine intensity, the greater 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 less the influence of sunshine intensity 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 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 sunshine intensity is 1000W / m 2 When the maximum allowable current carrying capacity of the conductor is about 1120A; the sunshine 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-current carrying capacity curves under multiple different ambient temperatures, the fourth preset experimental condition is specifically: the ambient temperature is 0℃, 20℃, 40℃, the wind speed and sunshine intensity in the vertical line direction remain 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 a wire temperature-current carrying capacity variation curve at different ambient temperatures provided in an embodiment of the present 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 wire temperature. From the comparison of the wire temperature-current carrying capacity curve under different ambient temperatures, the higher the current carrying capacity, the smaller the influence of the ambient temperature on the wire temperature. When the maximum allowable operating temperature of the wire is 160℃, the maximum allowable current carrying capacity of the wire corresponding to different ambient temperatures is as follows: when the ambient temperature is 0℃, the maximum allowable current carrying capacity of the wire is about 1900A; when the ambient temperature is 20℃, the maximum allowable current carrying capacity of the wire is about 1205A; when the ambient temperature is 40℃, the maximum allowable current carrying capacity of the wire is about 1120A.

[0067] According to the above analysis, when the current carrying capacity is small, such as 100A, the wire temperature increases by about 40℃ when the ambient temperature increases from 0℃ to 40℃, and the sunlight intensity increases from 0W / m 2 Increase to 1000W / m 2When the wind speed changes, the conductor temperature increases by only about 20℃, and the wind speed change has a smaller impact, with the conductor temperature increasing by only about 15℃. For the case of a larger current carrying capacity, the current carrying capacity is 1200A, and the changes in sunlight intensity and ambient temperature make the conductor temperature change less than 90℃. However, when the ambient wind speed increases from 0.1m / s to 2m / s, the conductor temperature changes by almost more than 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, wherein the second transmission line temperature calculation model is used to obtain second temperature data in the transmission line.

[0069] Specifically, according to 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 parameters in the model are adjusted and a dynamic adjustment mechanism is introduced so that the model can 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, and the effect of the model optimization is evaluated by comparing the errors. If the error of the optimized model is less than the 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 are continued until the accuracy requirements are met.

[0070] Step S106, judging whether the second accuracy of the second transmission line temperature calculation model meets the preset accuracy according to 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 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 operations 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 flow 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, and the second transmission line temperature calculation model is used to obtain the second temperature data in the transmission line. In the same way, through the conductor current flow test, it is judged according to 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 is improved. Through the second transmission line temperature calculation model, the temperature of the transmission line is monitored in real time, and then the various influencing factors are accurately combined to analyze the 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 in 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] The temperature measurement module 81 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 being the temperature data corresponding to the transmission line in a normal operating state; according to the steady-state temperature data and through the heat balance equation, a first transmission line temperature calculation model is constructed, and the first transmission line temperature calculation model is used to obtain first temperature data in the transmission line;

[0077] 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 according to the first temperature data through the conductor current flow test; if the first accuracy of the first transmission line temperature calculation model does not meet the preset accuracy, obtain the influence degree 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;

[0078] The output module 83 is used to improve the first transmission line temperature calculation model according to the influence degree of multiple error influencing factors on the temperature calculation model, so as 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, it is judged 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 operations on the transmission line.

[0079] In a possible implementation, 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 a first transmission line temperature calculation model according to the functional relationship.

[0080] In a 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 a possible implementation, 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 according to the first temperature data through a conductor current flow test, specifically including: performing a conductor current flow test under a first preset experimental condition, the first preset experimental condition 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 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 The data is first temperature data corresponding to any one conductor current carrying capacity determined according to a first functional relationship among multiple 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 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 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 a possible implementation, 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 a possible implementation, 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 a 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 a possible implementation, 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: when the device provided in the above embodiment realizes its function, only the division of the above functional modules is used as an example. In actual application, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is 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 embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0086] The present application also provides an electronic device. Fig. 9 , Fig. 9 9 is a schematic diagram of the structure of an electronic device provided in 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 realize the connection and communication between these components.

[0088] The user interface 903 may include a display screen (Display) and a camera (Camera), and the optional 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] Among them, the processor 901 may include one or more processing cores. The processor 901 uses various interfaces and lines to connect various parts in the entire server, and executes various functions of the server 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 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 901 can integrate one or more combinations of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly 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 screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 901, and it can be implemented by a single chip.

[0091] Among them, the memory 905 may include a random access memory (Random Access Memory, RAM) and may also include 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. Refer to Fig. 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 a power transmission line.

[0092] exist Fig. 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 simple description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited to the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for the present application.

[0093] The present application also provides a computer-readable storage medium, which stores instructions. When executed by one or more processors, the electronic device executes one or more of the methods described in the above embodiments.

[0094] In the above embodiments, the description of each embodiment has its own emphasis. 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 only schematic, such as the division of units, which is only a logical function division. There may be other division methods in actual implementation, 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 interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

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

[0097] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of 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, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform 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 above are only exemplary embodiments disclosed in this application, and the scope of the disclosure of this application cannot be limited by this. That is, any equivalent changes and modifications made according to the teachings disclosed in this application are still within the scope of the disclosure of this application. After considering the disclosure of the specification and the truth of practice, those skilled in the art will easily think of other implementation schemes disclosed in this application.

[0100] This application is intended to cover any modifications, uses or adaptive changes 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 recorded in this application.

Claims

1. A method for temperature monitoring in a power transmission line, characterized in that: The method comprises: In response to a temperature monitoring operation on a power transmission line, obtaining steady-state temperature data corresponding to the power transmission line, wherein the steady-state temperature data is temperature data corresponding to the power transmission line in a normal operating state; According to the steady-state temperature data, a first transmission line temperature calculation model is constructed by a heat balance equation, wherein the first transmission line temperature calculation model is used to obtain first temperature data in the transmission line; By conducting a conductor current flow test, judging according to the first temperature data whether a first accuracy of the first transmission line temperature calculation model meets a preset accuracy; If the first accuracy of the first transmission line temperature calculation model does not meet the preset accuracy, obtaining the influence degree of multiple error influencing factors on the temperature calculation model, the multiple error influencing factors including ambient temperature influencing factors, vertical line wind speed influencing factors and sunshine intensity influencing factors; According to the influence degree of the multiple 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; By conducting a conductor current flow test, judging 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 power transmission line temperature calculation model satisfies the preset accuracy, the temperature monitoring operation is performed on the power transmission line in real time through the second power transmission line temperature calculation model.

2. The method according to claim 1, characterized in that According to the steady-state temperature data, a first transmission line temperature calculation model is constructed through a heat balance equation, specifically including: According to 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, 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 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 first power transmission line temperature calculation model is constructed according to the functional relationship.

3. The method according to claim 2, characterized in that The obtaining of first temperature data in the power transmission line specifically includes: Determine 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 is 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 operating temperature of the conductor of the transmission line at the time of convergence is used as the first temperature data.

4. The method according to claim 1, characterized in that The conducting current flow test of the conductor, judging whether the first accuracy of the first transmission line temperature calculation model meets the preset accuracy according to the first temperature data, specifically includes: Conducting 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; By means of the conductor current-carrying test, a first functional relationship between the first temperature data and the current carrying capacity of the conductor is constructed; Acquire actual temperature data, and construct a second functional relationship between the actual temperature data and the current carrying capacity of the conductor; Determine respectively 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 and 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 the actual temperature data and determined according to the second functional relationship; Calculating a plurality of error values ​​between each of the first target temperature data and the corresponding actual target temperature data, and sorting the plurality of error values ​​in descending order to obtain a maximum error value among the plurality of error values; Determine 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.

5. The method according to claim 4, 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 a second preset experimental condition, wherein the second preset experimental condition includes a wind speed change condition, a fixed sunshine intensity, a fixed ambient temperature condition, and a natural convection condition; According to the third functional relationship, the influence degree of the vertical line wind speed influencing factor on the temperature calculation model is obtained.

6. The method according to claim 4, characterized in that 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 a third preset experimental condition, wherein the third preset experimental condition includes 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.

7. The method according to claim 4, characterized in that When the error influencing factor is the ambient temperature influencing factor, obtaining the influence degree 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 a fourth preset experimental condition, wherein the fourth preset experimental condition includes a fixed wind speed condition, a fixed sunshine intensity condition, a change in ambient temperature condition, and a natural convection condition; According to the fifth functional relationship, the influence degree of the ambient temperature influencing factor on the temperature calculation model is obtained.

8. 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 used to obtain steady-state temperature data corresponding to the transmission line in response to the temperature monitoring operation on the transmission line, wherein the steady-state temperature data is the temperature data corresponding to the transmission line in a normal operating state; based on the steady-state temperature data and through the heat balance equation, a first transmission line temperature calculation model is constructed, wherein the first transmission line temperature calculation model is used to obtain first temperature data in the transmission line; The main control module is used to determine whether the first accuracy of the first transmission line temperature calculation model meets the preset accuracy according to the first temperature data through a conductor current flow test; if the first accuracy of the first transmission line temperature calculation model does not meet the preset accuracy, obtain the influence degree 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 output module is used to improve the first transmission line temperature calculation model according to the degree of influence of the multiple error influencing factors on the temperature calculation model, so as 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, judging whether the second accuracy of the second transmission line temperature calculation model meets the preset accuracy according to the second temperature data; if the second accuracy of the second transmission line temperature calculation model meets the preset accuracy, the temperature monitoring operation is performed on the transmission line in real time through the second transmission line temperature calculation model.

9. An electronic device, characterized in that: It includes 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 7.

10. 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 7 is performed.

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