CN114966467A - Power transmission line state evaluation method based on digital twinning - Google Patents
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- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
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- G—PHYSICS
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- G01R31/1227—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials
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Abstract
The invention discloses a digital twin-based power transmission line state evaluation method, which relates to the technical field of electric power safety and comprises the following steps: installing leakage current and rainfall and temperature and humidity sensors aiming at the insulator of the power transmission line, and monitoring the state of the leakage current on the surface of the insulator; monitoring data are uploaded to a terminal calculation analysis module for electric leakage analysis, and real-time sensing and abnormal alarming of the insulator insulation state are achieved; in response to the received leakage abnormal signal, acquiring visual information corresponding to the insulator of the power transmission line through the camera and the infrared scanning probe, analyzing loss, and prompting a worker to replace a new insulator; simultaneously, an environmental factor HY and historical overhaul information of the corresponding power transmission line insulator are taken for fusion analysis, and the risk level of the corresponding power transmission line is intelligently evaluated; and a maintenance and defect elimination strategy is established in an auxiliary mode according to the risk value FX, a basis is provided for scheduling power grid mode arrangement, maintenance efficiency is effectively improved, and resource allocation and utilization maximization is achieved.
Description
Technical Field
The invention relates to the technical field of electric power safety, in particular to a digital twin-based power transmission line state evaluation method.
Background
In recent years, the construction speed of the transmission lines in China is higher and higher, and the demand for lean management of power transmission is higher and higher. The transmission line is one of important links of safe operation of a power grid, and the safe operation and maintenance of the line are very important. Aiming at the power transmission lines in coastal high-salt areas, high-pollution and high-dust special environments and operating for 10 years or more, accidents such as windage yaw discharge, disconnection, collapse and the like are often caused by aging and damage of an insulator body;
meanwhile, the external environment and various natural disasters (such as typhoons, earthquakes, thunder, icing, mountain fire and the like) usually cause small damage to the power transmission network; the method comprises the steps of evaluating the damage condition of natural disasters, giving danger levels according to the resistance of different power transmission lines to the natural disasters is an important measure for reducing the damage of the natural disasters to a power transmission network and improving the safety of the power transmission lines, and therefore the invention provides the power transmission line state evaluation method based on the digital twins.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the invention provides a transmission line state evaluation method based on digital twins.
To achieve the above object, an embodiment according to a first aspect of the present invention provides a method for evaluating a state of a transmission line based on digital twins, including the following steps:
the method comprises the following steps: installing leakage current and rainfall and temperature and humidity sensors for the insulator of the power transmission line, monitoring the state of the leakage current on the surface of the insulator, and uploading monitoring data to a terminal calculation and analysis module;
step two: the monitoring data are subjected to electric leakage analysis through a terminal computing and analyzing module, real-time sensing and abnormal alarming of the insulator insulation state are achieved, and the insulator insulation state is uploaded to a cloud platform;
step three: collecting visual information corresponding to the insulator of the power transmission line through the camera and the infrared scanning probe and analyzing loss in response to the received leakage abnormal signal; if the loss coefficient SH is larger than the preset loss threshold value, generating an equipment updating instruction to prompt a worker to update a new insulator;
step four: in response to the received leakage abnormal signal, an environmental factor HY corresponding to the insulator of the power transmission line and historical maintenance information are called for fusion analysis, and the risk level of the corresponding power transmission line is intelligently evaluated; a maintenance and defect elimination strategy is made in an auxiliary mode according to the risk value FX, and a basis is provided for scheduling a power grid mode; the database stores a mapping relation table of risk value ranges and overhaul defect elimination strategies.
Further, the specific analysis steps of the terminal calculation analysis module are as follows:
acquiring leakage current, rainfall information, temperature information and humidity information in the monitoring data, and sequentially marking as L1, Y1, T1 and W1; calculating an environment factor HY by using a formula HY 1 × a1+ T1 × a2+ W1 × a3, wherein a1, a2 and a3 are all coefficient factors;
determining the corresponding leakage current threshold value as LT according to the environmental factor HY, specifically: the database stores a mapping relation table of the environmental factor range and the leakage current threshold;
comparing the leakage current L1 with a corresponding leakage current threshold LT; and if the L1 is not less than the leakage current threshold LT, judging that the insulation state of the corresponding power transmission line insulator is abnormal, and generating a leakage abnormal signal.
Further, the infrared scanning probe is used for preliminarily detecting whether the surface of the insulator is greatly damaged or not; the camera is used for collecting real-time image information of the insulator.
Further, the specific analysis process of the loss coefficient SH is as follows:
when the infrared scanning probe detects that the surface of the insulator is damaged, the depth of the damaged position is obtained through the infrared distance meter and marked as the damaged depth Di;
evaluating a breakage coefficient PS according to the breakage condition of the surface of the insulator; comparing the real-time image information acquired by the camera with standard image information to obtain a dirty area X2;
using formulas
Calculating to obtain the loss coefficient SH of the insulator of the corresponding power transmission line,wherein b1 and b2 are coefficient factors.
Further, the specific evaluation process of the breakage coefficient PS is:
counting the number of breakages and marking as C1, and comparing the depth Di of the breakages with a depth threshold;
counting the number of times that Di is larger than or equal to the depth threshold value as P1, and when Di is larger than or equal to the depth threshold value, obtaining the difference value between Di and the depth threshold value and summing the difference value to obtain an over-damage depth value CN; calculating an excess loss coefficient CS by using a formula of P1 xk 1+ CN xk 2, wherein k1 and k2 are coefficient factors; the breakage coefficient PS is calculated by using the formula PS ═ C1 × k3+ CS × k4, where k3 and k4 are both coefficient factors.
Further, the specific analysis process of the risk value FX is as follows:
when an abnormal analysis signal is received, obtaining a loss coefficient SH and an environmental factor HY of a corresponding power transmission line insulator; acquiring a power supply area corresponding to the power transmission line;
marking the length of the corresponding power transmission line as Ls, and sequentially marking the number of power supply households and the electricity consumption of each household in the corresponding power supply area as Hs and Ds; calculating a power supply coefficient GD of the corresponding power transmission line by using a formula GD (Ls × b3+ Hs × b4+ Ds × b5, wherein b3, b4 and b4 are coefficient factors;
obtaining and analyzing historical maintenance information of the corresponding power transmission line to obtain a maintenance deviation value JP of the corresponding power transmission line; calculating a risk value FX of the corresponding power transmission line by using a formula FX ═ SH × g1+ HY × g2+ GD × g3+ JX × g 4; wherein g1, g2, g3 and g4 are coefficient factors.
Further, wherein, the specific analysis process of the overhaul deviation value JP is as follows:
acquiring historical overhaul data of the corresponding power transmission line; counting the overhauling times of the corresponding power transmission line as J1; marking the overhaul time length in each overhaul information as JTi and the overhaul grade as JDi; the overhaul value JXi is calculated by using a formula JXi-JTi × a4+ JDi × a5, wherein a4 and a5 are coefficient factors;
counting JXi times of being greater than the overhaul threshold value as Q1; when JXi is larger than the overhaul threshold, acquiring a difference value between JXi and the overhaul threshold, summing the difference value to obtain an overhaul excess value Cz, and calculating an overhaul coefficient CJ by using a formula CJ-Q1 × r1+ Cz × r2, wherein r1 and r2 are coefficient factors;
calculating the time difference between the latest overhaul time and the current time of the system to obtain a buffer duration HT; and calculating the overhaul offset value JP corresponding to the transmission line by using a formula of (J1 × r3+ CJ × r4) × HT, wherein r3 and r4 are coefficient factors.
Further, historical overhaul data include circuit sign, overhaul length and the maintenance grade that corresponds, the maintenance grade is uploaded to the cloud platform after overhaul completion by the maintainer.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the method, leakage current, rainfall and temperature and humidity sensors are mounted for insulators of the power transmission line, the state of the leakage current on the surfaces of the insulators is monitored, and monitoring data are uploaded to a terminal calculation analysis module to perform leakage analysis; determining a corresponding leakage current threshold value as LT according to the environmental factor HY, and if the leakage current L1 is larger than or equal to the leakage current threshold value LT, judging that the corresponding power transmission line insulator insulation state is abnormal, possibly generating power failure, and generating a leakage abnormal signal; the real-time sensing and abnormal alarming of the insulator insulation state are realized, and the insulator insulation state is uploaded to a cloud platform;
2. collecting visual information corresponding to the insulator of the power transmission line through a camera and an infrared scanning probe and performing loss analysis in response to the received electric leakage abnormal signal; the infrared scanning probe is used for preliminarily detecting whether the surface of the insulator is greatly damaged or not; the camera is used for acquiring real-time image information of the insulator; calculating by combining the damage coefficient PS and the area X2 of the filth area to obtain a loss coefficient SH, and if SH is larger than a preset loss threshold, generating an equipment updating instruction to prompt a worker to replace a new insulator, so that electric power safety accidents caused by line aging and damage are avoided;
3. in response to the received leakage abnormal signal, an environmental factor HY corresponding to the insulator of the power transmission line and historical maintenance information are called for fusion analysis, and the risk level of the corresponding power transmission line is intelligently evaluated; acquiring a power supply area corresponding to the power transmission line, and calculating to obtain a power supply coefficient GD; obtaining and analyzing historical maintenance information of the corresponding power transmission line to obtain a maintenance deviation value JP of the corresponding power transmission line; calculating a risk value FX of the corresponding power transmission line by using a formula FX ═ SH × g1+ HY × g2+ GD × g3+ JX × g 4; making a corresponding overhaul and defect elimination strategy according to the risk value FX, and providing a basis for scheduling a power grid mode; effectively improve maintenance efficiency, eliminate the transmission line hidden danger, realize the resource allocation utilization maximize.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic block diagram of a digital twin-based power transmission line state evaluation method according to the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, a method for evaluating a state of a power transmission line based on digital twins includes the following steps:
the method comprises the following steps: the method comprises the steps that leakage current, rainfall and temperature and humidity sensors are installed for power transmission line insulators which are operated for 10 years or more in coastal high-salt areas, high-pollution and high-dust special environments, the leakage current state of the surface of the insulator is monitored, and monitoring data are uploaded to a terminal calculation analysis module;
step two: the monitoring data are subjected to electric leakage analysis through a terminal computing and analyzing module, real-time sensing and abnormal alarming of the insulator insulation state are achieved, and the insulator insulation state is uploaded to a cloud platform; the specific analysis steps are as follows:
acquiring leakage current, rainfall information, temperature information and humidity information in the monitoring data, and sequentially marking as L1, Y1, T1 and W1;
calculating an environment factor HY by using a formula HY 1 × a1+ T1 × a2+ W1 × a3, wherein a1, a2 and a3 are all coefficient factors;
determining the corresponding leakage current threshold value as LT according to the environmental factor HY, specifically:
the database stores a mapping relation table of the environmental factor range and the leakage current threshold; the larger the environmental factor is, the smaller the corresponding leakage current threshold value is;
comparing the leakage current L1 with a corresponding leakage current threshold LT; if the L1 is larger than or equal to the leakage current threshold LT, judging that the insulation state of the insulator of the corresponding power transmission line is abnormal, possibly generating power failure, and generating a leakage abnormal signal;
step three: collecting visual information corresponding to the insulator of the power transmission line through the camera and the infrared scanning probe and analyzing loss in response to the received leakage abnormal signal; the infrared scanning probe is used for preliminarily detecting whether the surface of the insulator is greatly damaged or not; the camera is used for acquiring real-time image information of the insulator; the specific analysis steps are as follows:
when the infrared scanning probe detects that the surface of the insulator is damaged, the depth of the damaged position is obtained through the infrared distance meter and marked as the damaged depth Di; count number of breakages and label C1;
comparing the depth of breach Di to a depth threshold; counting the number of times that Di is larger than or equal to the depth threshold value as P1, and when Di is larger than or equal to the depth threshold value, obtaining the difference value between Di and the depth threshold value and summing the difference value to obtain an over-damage depth value CN; calculating an excess loss coefficient CS by using a formula of P1 xk 1+ CN xk 2, wherein k1 and k2 are coefficient factors;
calculating a breakage coefficient PS by using a formula PS (C1 × k3+ CS × k 4), wherein k3 and k4 are coefficient factors;
acquiring real-time image information of the insulator through a camera, and comparing the real-time image information with standard image information to obtain the area of a filthy area; the method specifically comprises the following steps:
extracting insulator surface image information from the real-time image information, converting the insulator surface image information into a gray image, and converting the gray image into a standard image through image preprocessing; the image preprocessing comprises Gaussian filtering, image segmentation and image enhancement;
identifying each pixel point in a standard image in a preset area, and identifying corresponding filth pixel points; the method comprises the following steps:
firstly, marking the gray value of a pixel point in a standard image as H1; performing differential operation on the gray value of each pixel point and the set standard gray value parameter to obtain a differential result, and marking the differential result as C1; if the difference result C1 is greater than or equal to the preset difference threshold, the pixel point is considered as a filth pixel point:
counting the total number of the pixel points of the pollutants and marking the pixel points as the area X2 of a pollution area;
using formulas
Calculating to obtain a loss coefficient SH of the corresponding power transmission line insulator, wherein both b1 and b2 are coefficient factors;
comparing the loss coefficient SH with a preset loss threshold, and if SH is larger than the preset loss threshold, generating an equipment updating instruction to prompt a worker to replace a new insulator so as to avoid electric power safety accidents caused by line aging and damage;
step four: in response to the received leakage abnormal signal, an environmental factor HY corresponding to the insulator of the power transmission line and historical maintenance information are called for fusion analysis, and the risk level of the corresponding power transmission line is intelligently evaluated; a maintenance and defect elimination strategy is established in an auxiliary mode according to the risk level, and a basis is provided for scheduling the power grid mode; the specific analysis steps are as follows:
when an abnormal analysis signal is received, obtaining a loss coefficient SH and an environmental factor HY of a corresponding power transmission line insulator; acquiring a power supply area corresponding to the power transmission line;
marking the length of the corresponding power transmission line as Ls, and sequentially marking the number of power supply households and the electricity consumption of each household in the corresponding power supply area as Hs and Ds; calculating a power supply coefficient GD of the corresponding power transmission line by using a formula GD (Ls × b3+ Hs × b4+ Ds × b5, wherein b3, b4 and b4 are coefficient factors;
obtaining and analyzing historical maintenance information of the corresponding power transmission line to obtain a maintenance deviation value JP of the corresponding power transmission line; carrying out normalization processing on the loss coefficient, the environmental factor, the power supply coefficient and the overhaul coefficient and taking the numerical values of the loss coefficient, the environmental factor, the power supply coefficient and the overhaul coefficient; calculating a risk value FX of the corresponding power transmission line by using a formula FX ═ SH × g1+ HY × g2+ GD × g3+ JX × g 4; wherein g1, g2, g3 and g4 are coefficient factors;
and (3) making a corresponding overhaul defect elimination strategy according to the risk value FX, specifically:
the database stores a mapping relation table of risk value ranges and overhaul defect elimination strategies; the larger the risk value FX is, the higher the corresponding overhaul and vacancy-eliminating strategy grade is, namely the more the specification quantity of the invested overhaul and vacancy-eliminating resources is, the shorter the time limit of the measure is; the overhaul efficiency is effectively improved, the hidden danger of the power transmission line is eliminated, and the maximization of resource allocation and utilization is realized;
the specific analysis process of the overhaul deviation value JP is as follows:
acquiring historical overhaul data corresponding to the power transmission line, wherein the historical overhaul data comprise a line identifier, overhaul duration and a corresponding overhaul grade, and the overhaul grade is uploaded to a cloud platform after overhaul is completed by an overhaul worker, wherein the higher the overhaul grade is, the more serious the fault problem is;
counting the overhaul frequency of the corresponding power transmission line to be J1 within a preset time; marking the overhaul time length in each overhaul information as JTi and the overhaul grade as JDi; the overhaul value JXi is calculated by using a formula JXi-JTi × a4+ JDi × a5, wherein a4 and a5 are coefficient factors;
comparing the overhaul value JXi to an overhaul threshold; counting JXi times of being greater than the overhaul threshold value as Q1; when JXi is larger than the overhaul threshold, acquiring a difference value between JXi and the overhaul threshold, summing the difference value to obtain an overhaul excess value Cz, and calculating an overhaul coefficient CJ by using a formula CJ-Q1 × r1+ Cz × r2, wherein r1 and r2 are coefficient factors;
calculating the time difference between the latest overhaul time and the current time of the system to obtain a buffer duration HT; and calculating the overhaul offset value JP corresponding to the transmission line by using a formula of (J1 × r3+ CJ × r4) × HT, wherein r3 and r4 are coefficient factors.
The above formulas are all calculated by removing dimensions and taking numerical values thereof, the formula is a formula which is obtained by acquiring a large amount of data and performing software simulation to obtain the closest real situation, and the preset parameters and the preset threshold value in the formula are set by the technical personnel in the field according to the actual situation or obtained by simulating a large amount of data.
The working principle of the invention is as follows:
a transmission line state assessment method based on digital twinning comprises the steps that when the method works, leakage current and rainfall and temperature and humidity sensors are installed aiming at transmission line insulators in coastal high-salt areas, high-pollution and high-dust special environments and in a transmission line operating for 10 years or more, the surface leakage current state of the insulators is monitored, and monitoring data are uploaded to a terminal calculation analysis module; the monitoring data are subjected to electric leakage analysis through a terminal calculation and analysis module, a corresponding leakage current threshold value LT is determined according to an environmental factor HY, if the leakage current L1 is larger than or equal to the leakage current threshold value LT, it is judged that the corresponding power transmission line insulator is abnormal in insulation state and possibly has power failure, and an electric leakage abnormal signal is generated; insulator insulation state real-time sensing and abnormal alarming are achieved, and the insulator insulation state real-time sensing and abnormal alarming are uploaded to a cloud platform;
collecting visual information corresponding to the insulator of the power transmission line through the camera and the infrared scanning probe and analyzing loss in response to the received leakage abnormal signal; the infrared scanning probe is used for preliminarily detecting whether the surface of the insulator is greatly damaged or not, recording the depth of a damaged position and calculating to obtain a damage coefficient PS; the camera is used for acquiring real-time image information of the insulator, and comparing the real-time image information with standard image information to obtain a polluted area X2; using formulas
Calculating to obtain a loss coefficient SH corresponding to the insulator of the power transmission line, and if SH is larger than a preset loss threshold value, generating a device updating instruction to prompt a worker to update a new insulator so as to avoid electric power safety accidents caused by line aging and damage;
in response to the received leakage abnormal signal, an environmental factor HY corresponding to the insulator of the power transmission line and historical maintenance information are called for fusion analysis, and the risk level of the corresponding power transmission line is intelligently evaluated; acquiring a power supply area corresponding to the power transmission line, and calculating to obtain a power supply coefficient GD by combining the length of the corresponding power transmission line, the number of power supply users and the average electricity consumption of the users; obtaining and analyzing historical maintenance information of the corresponding power transmission line to obtain a maintenance deviation value JP of the corresponding power transmission line; calculating a risk value FX of the corresponding power transmission line by using a formula FX ═ SH × g1+ HY × g2+ GD × g3+ JX × g 4; making a corresponding overhaul and defect elimination strategy according to the risk value FX, and providing a basis for scheduling a power grid mode; effectively improve maintenance efficiency, eliminate the transmission line hidden danger, realize the resource allocation utilization maximize.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (8)
1. A transmission line state evaluation method based on digital twins is characterized by comprising the following steps:
the method comprises the following steps: installing leakage current and rainfall and temperature and humidity sensors for the insulator of the power transmission line, monitoring the state of the leakage current on the surface of the insulator, and uploading monitoring data to a terminal calculation and analysis module;
step two: the monitoring data are subjected to electric leakage analysis through a terminal computing and analyzing module, real-time sensing and abnormal alarming of the insulator insulation state are achieved, and the insulator insulation state is uploaded to a cloud platform;
step three: collecting visual information corresponding to the insulator of the power transmission line through the camera and the infrared scanning probe and analyzing loss in response to the received leakage abnormal signal; if the loss coefficient SH is larger than a preset loss threshold value, generating a device updating instruction to prompt a worker to update a new insulator;
step four: in response to the received leakage abnormal signal, an environmental factor HY corresponding to the insulator of the power transmission line and historical maintenance information are called for fusion analysis, and the risk level of the corresponding power transmission line is intelligently evaluated; a maintenance and defect elimination strategy is made in an auxiliary mode according to the risk value FX, and a basis is provided for scheduling a power grid mode; the database stores a mapping relation table of risk value ranges and overhaul defect elimination strategies.
2. The digital twin-based power transmission line state evaluation method according to claim 1, wherein the specific analysis steps of the terminal calculation analysis module are as follows:
acquiring leakage current, rainfall information, temperature information and humidity information in the monitoring data, and sequentially marking as L1, Y1, T1 and W1; calculating an environment factor HY by using a formula HY 1 × a1+ T1 × a2+ W1 × a3, wherein a1, a2 and a3 are all coefficient factors;
determining the corresponding leakage current threshold value as LT according to the environmental factor HY, specifically: the database stores a mapping relation table of the environmental factor range and the leakage current threshold;
comparing the leakage current L1 with a corresponding leakage current threshold LT; and if the L1 is not less than the leakage current threshold LT, judging that the insulation state of the corresponding power transmission line insulator is abnormal, and generating a leakage abnormal signal.
3. The digital twin-based power transmission line state evaluation method according to claim 1, wherein the infrared scanning probe is used for preliminarily detecting whether the surface of the insulator is damaged; the camera is used for collecting real-time image information of the insulator.
4. The digital twin-based power transmission line state evaluation method according to claim 3, wherein the specific analysis process of the loss coefficient SH is as follows:
when the infrared scanning probe detects that the surface of the insulator is damaged, the depth of the damaged position is obtained through the infrared distance meter and marked as the damaged depth Di;
evaluating a breakage coefficient PS according to the breakage condition of the surface of the insulator; comparing the real-time image information acquired by the camera with standard image information to obtain a dirty area X2;
using formulas
And calculating to obtain a loss coefficient SH of the insulator of the corresponding power transmission line, wherein both b1 and b2 are coefficient factors.
5. The method for evaluating the state of the power transmission line based on the digital twin according to claim 4, wherein the specific evaluation process of the breakage coefficient PS is as follows:
counting the number of breakages and marking as C1, and comparing the depth Di of the breakages with a depth threshold;
counting the number of times that Di is larger than or equal to the depth threshold value as P1, and when Di is larger than or equal to the depth threshold value, obtaining the difference value between Di and the depth threshold value and summing the difference value to obtain an over-damage depth value CN; calculating an excess loss coefficient CS by using a formula of P1 xk 1+ CN xk 2, wherein k1 and k2 are coefficient factors; the breakage coefficient PS is calculated by using the formula PS ═ C1 × k3+ CS × k4, where k3 and k4 are both coefficient factors.
6. The method for evaluating the state of the transmission line based on the digital twin as claimed in claim 4, wherein the specific analysis process of the risk value FX is as follows:
when an abnormal analysis signal is received, obtaining a loss coefficient SH and an environmental factor HY of a corresponding power transmission line insulator; acquiring a power supply area corresponding to the power transmission line;
marking the length of the corresponding power transmission line as Ls, and sequentially marking the number of power supply households and the electricity consumption of each household in the corresponding power supply area as Hs and Ds; calculating a power supply coefficient GD of the corresponding power transmission line by using a formula GD (Ls × b3+ Hs × b4+ Ds × b5, wherein b3, b4 and b4 are coefficient factors;
obtaining and analyzing historical maintenance information of the corresponding power transmission line to obtain a maintenance deviation value JP of the corresponding power transmission line; calculating a risk value FX of the corresponding power transmission line by using a formula FX ═ SH × g1+ HY × g2+ GD × g3+ JX × g 4; wherein g1, g2, g3 and g4 are coefficient factors.
7. The transmission line state evaluation method based on the digital twin according to claim 6, wherein the specific analysis process of the overhaul deviation value JP is as follows:
acquiring historical maintenance data of a corresponding power transmission line; counting the overhaul frequency of the corresponding power transmission line as J1; marking the overhaul time length in each overhaul information as JTi and the overhaul grade as JDi; the overhaul value JXi is calculated by using a formula JXi of JTi × a4+ JDi × a5, wherein a4 and a5 are coefficient factors;
counting JXi times of being greater than the overhaul threshold value as Q1; when JXi is larger than the overhaul threshold, acquiring a difference value between JXi and the overhaul threshold, summing the difference value to obtain an overhaul excess value Cz, and calculating an overhaul coefficient CJ by using a formula CJ-Q1 × r1+ Cz × r2, wherein r1 and r2 are coefficient factors;
calculating the time difference between the latest overhaul time and the current time of the system to obtain a buffer duration HT; and calculating the overhaul offset value JP corresponding to the transmission line by using a formula of (J1 × r3+ CJ × r4) × HT, wherein r3 and r4 are coefficient factors.
8. The digital twin-based power transmission line state evaluation method according to claim 7, wherein the historical overhaul data comprises line identification, overhaul duration and corresponding overhaul grades, and the overhaul grades are uploaded to a cloud platform after overhaul is completed by overhaul personnel.
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