Power transmission line risk assessment method and device, terminal equipment and storage medium

Abstract

The invention discloses a power transmission line risk assessment method and device, terminal equipment and a storage medium, and belongs to the field of electric power overhaul, and the method comprises the steps: according to a preset atmospheric environment assessment formula and an atmospheric substance assessment formula, combining the feature data and motion data of an easy-to-float object, and the atmospheric data and surface data of a geographic position where a power transmission line channel is located; calculating to obtain a first danger characteristic value; according to a preset calculation formula used for representing the interaction between the easy-floating object and the environment, the earth surface data, the length of the power transmission line channel, the atmospheric power data and the characteristic data and the motion data of the easy-floating object, the intrusion probability of the easy-floating object is obtained through calculation; combining the first danger characteristic value, the easy-floating object intrusion probability, the earth surface data and the atmosphere data to calculate an easy-floating object hidden danger evaluation value; and determining the risk state of the power transmission line according to the easy-to-float object hidden danger assessment value. According to the invention, the problem of low efficiency of manual inspection of the power transmission line in the prior art can be solved.

Description

Technical Field

[0001] This invention relates to the field of power maintenance, and in particular to a method, apparatus, terminal equipment, and storage medium for risk assessment of transmission lines. Background Technology

[0002] In the operation of power systems, transmission lines serve as the core carriers of electrical energy transmission, and their safe and stable operation is directly related to the reliability and continuity of power supply. However, transmission lines often traverse vast areas with complex and diverse environments, and are affected by both natural factors and human activities. The potential for loose debris has become a significant source of risk threatening the safety of transmission lines.

[0003] In existing technologies, the identification of risks in transmission lines mainly relies on traditional manual inspection methods. Maintenance personnel need to conduct on-site inspections along the line corridor according to a predetermined cycle, and judge whether there is a potential intrusion risk from easily floating objects in the corridor through visual observation combined with on-site experience; however, manual inspection is inefficient and cannot ensure the timely detection and handling of hidden dangers, thus failing to meet the safe operation requirements of the power system. Summary of the Invention

[0004] This invention provides a method, apparatus, terminal equipment, and storage medium for risk assessment of power transmission lines. The method can solve the problem of low efficiency in manual inspection of power transmission lines in the prior art.

[0005] To address the aforementioned technical problems, one embodiment of the present invention provides a method for risk assessment of transmission lines, comprising: When easily drifting objects are identified at the transmission line corridor, the following data are collected: characteristic data of the easily drifting objects, motion data of the easily drifting objects, atmospheric dynamic data, atmospheric acoustic and optical data, atmospheric electrical activity data, atmospheric material characteristic data, and surface data of the transmission line corridor length and geographical location of the transmission line corridor. The first hazard characteristic value is calculated based on the preset atmospheric environment assessment formula, the preset atmospheric substance assessment formula, the characteristic data of the easily floating object, the motion data of the easily floating object, the atmospheric dynamic data, the atmospheric acoustic and optical data, the atmospheric electrical activity data, the atmospheric substance characteristic data, and the surface data. The probability of airborne object intrusion is calculated based on a preset formula for characterizing the interaction between airborne objects and the environment, the surface data, the length of the power transmission line channel, the motion data of the airborne objects, the characteristic data of the airborne objects, and the atmospheric dynamic data. The hazardous material hazard assessment value is calculated based on the first hazard characteristic value, the probability of intrusion of the floating object, the surface data, the atmospheric acoustic and optical data, the atmospheric dynamic data, the atmospheric material characteristic data, and the atmospheric electrical activity data. The risk status of the transmission line is determined based on the assessment value of the hazard caused by easily floating objects.

[0006] Further, the calculation of the first hazard characteristic value based on the preset atmospheric environment assessment formula, the preset atmospheric substance assessment formula, the characteristic data of the easily drifting object, the motion data of the easily drifting object, the atmospheric dynamic data, the atmospheric acoustic and optical data, the atmospheric electrical activity data, the atmospheric substance characteristic data, and the surface data includes: The first assessment value is calculated based on the preset atmospheric environment assessment formula, the atmospheric dynamic data, the atmospheric acoustic and optical data, the atmospheric electrical activity data, and the surface data. The second evaluation value is calculated based on the preset atmospheric substance evaluation formula, the characteristic data of the easily floating object, the motion data of the easily floating object, the surface data, and the atmospheric substance characteristic data. By combining the first assessment value, the second assessment value, the characteristic data of the airborne object, the atmospheric acoustic and optical data, the atmospheric material characteristic data, and the atmospheric electrical activity data, a first hazard characteristic value is calculated.

[0007] Furthermore, the atmospheric dynamic data includes air turbulence intensity, turbulence integral scale, atmospheric turbulence dissipation rate, instantaneous wind speed gradient, and atmospheric pressure fluctuations; the atmospheric acoustic-optic data includes atmospheric refractive index structure constant, sound wave attenuation coefficient, and solar radiation intensity; the atmospheric electrical activity data includes atmospheric electric field intensity and cloud charge density; and the surface data includes vegetation disturbance coefficient and ground roughness coefficient. The calculation of the first evaluation value based on the preset atmospheric environment assessment formula, the atmospheric dynamic data, the atmospheric acoustic and optical data, the atmospheric electrical activity data, and the surface data includes: The first evaluation value is calculated based on the atmospheric environment assessment formula, the air turbulence intensity, the turbulence integral scale, the atmospheric turbulence dissipation rate, the instantaneous wind speed gradient, the atmospheric pressure fluctuation, the atmospheric refractive index structure constant, the sound wave attenuation coefficient, the solar radiation intensity, the atmospheric electric field intensity, the cloud charge density, the vegetation disturbance coefficient, and the ground roughness coefficient.

[0008] Furthermore, the motion data of the easily floating object includes its initial height above the ground; the characteristic data of the easily floating object includes its thermal conductivity and specific heat capacity; the characteristic data of the atmospheric substances includes atmospheric aerosol concentration and air viscosity coefficient; and the surface data also includes soil resistivity and surface heat flux. The calculation of the second evaluation value based on the preset atmospheric substance evaluation formula, the characteristic data of the easily drifting object, the motion data of the easily drifting object, the surface data, and the atmospheric substance characteristic data includes: The second evaluation value is calculated based on the atmospheric substance evaluation formula, the initial height above ground, the thermal conductivity, the specific heat capacity, the atmospheric aerosol concentration, the air viscosity coefficient, the soil resistivity, and the surface heat flux.

[0009] Furthermore, the characteristic data of the easily drifting object also includes equivalent windward area, surface friction coefficient, acoustic impedance, mass density, moment of inertia, dielectric constant, surface charge density, Poisson's ratio, and magnetic permeability; the atmospheric acoustic and optical data also includes atmospheric visibility; the atmospheric material characteristic data also includes air density and water vapor partial pressure; and the atmospheric electrical activity data also includes electromagnetic scattering cross section. The first hazard characteristic value is calculated by combining the first assessment value, the second assessment value, the characteristic data of the airborne object, the atmospheric acoustic and optical data, the atmospheric material characteristic data, and the atmospheric electrical activity data, including: The first hazard characteristic value is calculated based on the first evaluation value, the second evaluation value, the equivalent windward area, the surface friction coefficient, the acoustic impedance, the mass density, the moment of inertia, the dielectric constant, the surface charge density, the Poisson's ratio, the magnetic permeability, the atmospheric visibility, the air density, the water vapor partial pressure, and the electromagnetic scattering cross section.

[0010] Furthermore, the motion data of the easily floating object also includes its real-time height above the ground; the characteristic data of the easily floating object also includes its spectral reflectance, elastic modulus, surface electrostatic voltage, surface roughness, coefficient of thermal expansion, radar cross-section, and transmittance; the atmospheric dynamic data also includes the angle between the power transmission line and the wind direction. The step of calculating the probability of airborne debris intrusion based on a preset formula characterizing the interaction between airborne debris and the environment, the surface data, the transmission line corridor length, the airborne debris's motion data, the airborne debris's characteristic data, and the atmospheric dynamic data includes: The probability of airborne debris intrusion is calculated based on the formula used to characterize the interaction between airborne debris and the environment, the instantaneous wind speed gradient, the vegetation disturbance coefficient, the atmospheric turbulence dissipation rate, the transmission line channel length, the real-time ground clearance, the equivalent windward area, the elastic modulus, the spectral reflectance, the surface electrostatic voltage, the surface roughness, the thermal expansion coefficient, the acoustic impedance, the radar cross-section, the light transmittance, and the angle between the transmission line and the wind direction.

[0011] Furthermore, the atmospheric acoustic-optic data also includes the sound wave attenuation coefficient and the atmospheric refractive index structure constant; the atmospheric dynamic data also includes the air turbulence intensity and atmospheric pressure fluctuations. The assessment value for the potential hazard of floating debris is calculated based on the first hazard characteristic value, the probability of intrusion of the floating debris, the surface data, the atmospheric acoustic and optical data, the atmospheric dynamic data, the atmospheric material characteristic data, and the atmospheric electrical activity data, including: The initial risk assessment reference value is calculated based on the atmospheric aerosol concentration, the electromagnetic scattering cross section, the cloud charge density, the water vapor partial pressure, the atmospheric visibility, the surface heat flux, the turbulence integral scale, the atmospheric turbulence dissipation rate, the air viscosity coefficient, and the soil resistivity. The risk assessment value for easily drifting objects is calculated based on the initial risk assessment reference value, the first hazard characteristic value, the probability of intrusion of easily drifting objects, the sound wave attenuation coefficient, the atmospheric refractive index structure constant, the air turbulence intensity, the atmospheric electric field intensity, the atmospheric pressure pulsation, and the solar radiation intensity.

[0012] An embodiment of the present invention also provides a transmission line risk assessment device, comprising: The data acquisition module is used to collect characteristic data of the floating objects, motion data of the floating objects, atmospheric dynamic data, atmospheric acoustic and optical data, atmospheric electrical activity data, atmospheric material characteristic data, and surface data when the presence of floating objects is detected at the transmission line channel. The first calculation module is used to calculate a first hazard characteristic value based on a preset atmospheric environment assessment formula, a preset atmospheric substance assessment formula, characteristic data of the airborne object, motion data of the airborne object, atmospheric dynamic data, atmospheric acoustic and optical data, atmospheric electrical activity data, atmospheric substance characteristic data, and surface data. The second calculation module is used to calculate the probability of airborne object intrusion based on a preset calculation formula for characterizing the interaction between airborne objects and the environment, the surface data, the length of the power transmission line channel, the motion data of the airborne object, the characteristic data of the airborne object, and the atmospheric dynamic data. The third calculation module is used to calculate the hazardous material hazard assessment value based on the first hazard characteristic value, the probability of the intrusion of the floating object, the surface data, the atmospheric acoustic and optical data, the atmospheric dynamic data, the atmospheric material characteristic data, and the atmospheric electrical activity data. The assessment module is used to determine the risk status of the transmission line based on the assessment value of the hazard caused by the floating debris.

[0013] This application also provides a terminal device, including: One or more processors; A memory, coupled to the processor, for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the transmission line risk assessment method as described in the above embodiments of the invention.

[0014] This application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the transmission line risk assessment method as described in the above embodiments of the invention.

[0015] The following benefits can be obtained by implementing the present invention: This invention provides a method, device, terminal equipment, and storage medium for risk assessment of power transmission lines. The method collects characteristic data and motion data of easily dispersed objects, the length of the power transmission line corridor, and atmospheric and surface data of the geographical location of the corridor to achieve multi-dimensional data coverage and provide data support for risk assessment. Subsequently, a three-step progressive quantitative calculation is performed: first, the first hazard characteristic value is derived by combining the collected data with the corresponding preset assessment formula; then, the probability of easily dispersed object intrusion is calculated based on the interaction between easily dispersed objects and the environment; finally, all data are integrated, and the first hazard characteristic value and the probability of easily dispersed object intrusion are combined to calculate a comprehensive easily dispersed object hazard assessment value. This fully considers the coupling relationship between easily dispersed objects and the geographical environment, avoiding the one-sidedness of single-factor judgment. It shifts risk assessment from manual experience-based judgment to quantitative analysis, significantly improving the scientific nature of the assessment results and effectively helping maintenance personnel to predict the development trend of hazards in advance, ensuring the safe and stable operation of power transmission lines. Attached Figure Description

[0016] To more clearly illustrate the technical solution of this application, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0017] Figure 1 This is a flowchart illustrating a transmission line risk assessment method provided in a certain embodiment of this application; Figure 2 This is a schematic diagram of the structure of a transmission line risk assessment device provided in a certain embodiment of this application; Figure 3 This is a schematic diagram of the structure of a terminal device provided in a certain embodiment of this application. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0019] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the application; the terms “comprising” and “having”, and any variations thereof, in the specification, claims, and foregoing description of the drawings are intended to cover non-exclusive inclusion.

[0020] In the description of the embodiments of this application, technical terms such as "first" and "second" are used only to distinguish different objects and should not be construed as indicating or implying relative importance or implicitly specifying the number, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this application, "multiple" means two or more, unless otherwise explicitly defined.

[0021] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0022] In the description of the embodiments in this application, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this document generally indicates that the preceding and following related objects have an "or" relationship.

[0023] In the description of the embodiments of this application, the term "multiple" refers to two or more (including two), similarly, "multiple sets" refers to two or more (including two sets), and "multiple pieces" refers to two or more (including two pieces).

[0024] In the description of the embodiments of this application, unless otherwise expressly specified and limited, technical terms such as "installation," "connection," "joining," and "fixing" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. For those skilled in the art, the specific meaning of the above terms in the embodiments of this application can be understood according to the specific circumstances.

[0025] See Figure 1 To address the inefficiency of manual inspection of transmission lines in existing technologies, an embodiment of the present invention provides a method for risk assessment of transmission lines, comprising: S1. When easily drifting objects are detected at the transmission line channel, collect characteristic data of the easily drifting objects, motion data of the easily drifting objects, atmospheric dynamic data, atmospheric acoustic and optical data, atmospheric electrical activity data, atmospheric material characteristic data, and surface data of the transmission line channel length and geographical location of the transmission line channel. Specifically, multi-source fusion monitoring terminals (including radar detectors, high-definition cameras, and infrared sensors) pre-deployed along the transmission line can monitor the transmission line channel and surrounding environment in real time. When a floating object is detected intruding into the monitoring range, a data acquisition linkage mechanism is triggered. Through image recognition algorithms and radar echo analysis, the type of floating object (such as kites, plastic film, and corrugated steel sheet fragments) is accurately identified and located. The feature data corresponding to the current floating object type is matched in a pre-set floating object feature parameter database, and the movement data of the floating object is tracked in real time through sensors. Simultaneously, by calling the preset environmental parameter real-time acquisition model, atmospheric dynamic data, atmospheric acoustic and optical data, atmospheric electrical activity data, atmospheric material characteristic data, and surface data of the geographical location of the transmission line channel are collected synchronously. The data sources specifically include distributed meteorological monitoring stations deployed along the transmission line, environmental perception sensor networks deployed on the transmission line itself and around the channel (such as tower-mounted electric field sensors, surface heat flux detectors, acoustic sensors, optical visibility meters, etc.), authoritative meteorological data platform API interfaces of the National Meteorological Information Center and provincial meteorological departments, real-time data transmission from mobile sensing devices carried by UAVs during inspections, and shared data resources from nearby environmental monitoring stations.

[0026] S2. Calculate the first hazard characteristic value based on the preset atmospheric environment assessment formula, the preset atmospheric substance assessment formula, the characteristic data of the easily floating object, the motion data of the easily floating object, the atmospheric dynamic data, the atmospheric acoustic and optical data, the atmospheric electrical activity data, the atmospheric substance characteristic data, and the surface data. As an illustration, it is necessary to combine atmospheric environmental assessment and atmospheric material assessment, and obtain the first hazard characteristic value through weighted coupling calculation, so as to accurately quantify the risk of atmospheric and material environment contributing to the intrusion of easily drifting objects into the route channel, and provide data support for subsequent comprehensive risk assessment.

[0027] In a preferred embodiment, the calculation of the first hazard characteristic value based on a preset atmospheric environment assessment formula, a preset atmospheric substance assessment formula, characteristic data of the airborne object, motion data of the airborne object, atmospheric dynamic data, atmospheric acoustic and optical data, atmospheric electrical activity data, atmospheric substance characteristic data, and surface data includes: The first assessment value is calculated based on the preset atmospheric environment assessment formula, the atmospheric dynamic data, the atmospheric acoustic and optical data, the atmospheric electrical activity data, and the surface data. The second evaluation value is calculated based on the preset atmospheric substance evaluation formula, the characteristic data of the easily floating object, the motion data of the easily floating object, the surface data, and the atmospheric substance characteristic data. By combining the first assessment value, the second assessment value, the characteristic data of the airborne object, the atmospheric acoustic and optical data, the atmospheric material characteristic data, and the atmospheric electrical activity data, a first hazard characteristic value is calculated. Specifically, firstly, based on atmospheric dynamic data, atmospheric acoustic and optical data, atmospheric electrical activity data, and surface data, the comprehensive interference coefficient of the atmospheric environment on the movement of airborne debris is calculated using an atmospheric environment assessment formula to obtain a first assessment value. This first assessment value quantifies dynamic factors, acoustic and optical propagation characteristics, and atmospheric electrical activity parameters. Combined with the indirect influence of surface roughness and vegetation disturbance on airflow, it reflects the overall intensity of the atmospheric environment's effect on hindering or promoting the intrusion of airborne debris into the channel. Next, based on the characteristic data of airborne debris, its movement data, surface data, and atmospheric material characteristic data, the interaction effect value between atmospheric materials and airborne debris is calculated using an atmospheric material assessment formula to obtain a second assessment value. This second assessment value focuses on atmospheric material characteristics, combining the airborne debris's own properties and movement data to analyze the degree to which the interaction between the two changes the movement state of the airborne debris. Finally, combining the first and second assessment values, a first hazard characteristic value is obtained by weighted calculation using the characteristic data of airborne debris, the atmospheric acoustic and optical data, the atmospheric material characteristic data, the surface data, and the atmospheric electrical activity data. This value directly reflects the potential hazard intensity of airborne debris under the combined action of environmental and material factors.

[0028] In a preferred embodiment, the atmospheric dynamic data includes air turbulence intensity, turbulence integral scale, atmospheric turbulence dissipation rate, instantaneous wind speed gradient, and atmospheric pressure fluctuations; the atmospheric acoustic-optic data includes atmospheric refractive index structure constant, sound wave attenuation coefficient, and solar radiation intensity; the atmospheric electrical activity data includes atmospheric electric field intensity and cloud charge density; and the surface data includes vegetation disturbance coefficient and ground roughness coefficient. The calculation of the first evaluation value based on the preset atmospheric environment assessment formula, the atmospheric dynamic data, the atmospheric acoustic and optical data, the atmospheric electrical activity data, and the surface data includes: The first evaluation value is calculated based on the atmospheric environment assessment formula, the air turbulence intensity, the turbulence integral scale, the atmospheric turbulence dissipation rate, the instantaneous wind speed gradient, the atmospheric pressure fluctuation, the atmospheric refractive index structure constant, the sound wave attenuation coefficient, the solar radiation intensity, the atmospheric electric field intensity, the cloud charge density, the vegetation disturbance coefficient, and the ground roughness coefficient. Specifically, air turbulence intensity reflects the severity of irregular airflow motion, affecting the trajectory and stress state of airborne objects; the atmospheric refractive index structure constant is related to the influence of the atmosphere on electromagnetic wave propagation, affecting the signal transmission quality when monitoring airborne objects using electromagnetic means; the ground roughness coefficient reflects the obstruction and disturbance characteristics of ground topography and vegetation on near-ground airflow, thus changing the airflow environment of airborne objects; the instantaneous wind speed gradient shows the rate of change of wind speed with spatial location, determining the dynamic changes in wind force on airborne objects; and the vegetation interference coefficient measures the degree of interference of vegetation within the channel on airflow, electromagnetic, and other environmental factors, affecting the airborne object's trajectory and stress state. The accuracy of monitoring the interaction between floating objects and vegetation and the signals; the sound wave attenuation coefficient is used to assess the energy loss of sound waves propagating in the channel environment. If sound wave monitoring is used, it determines the capture effect of sound wave signals of floating objects; the atmospheric electric field intensity reflects the electric field distribution in the channel. The entry of floating objects will change the electric field, which can be used to identify potential hazards; the cloud charge density is related to the cloud charge distribution, affecting the overall electric field environment of the channel and the electrostatic characteristics of floating objects; the turbulence integral scale describes the characteristic size of the turbulent eddy structure, and helps to judge the macroscopic laws of the effect of turbulence on floating objects; atmospheric pressure pulsation reflects the dynamic changes in air pressure, affecting the pressure environment of floating objects; Specifically, atmospheric turbulence dissipation rate reflects the rate at which turbulent energy is dissipated, affecting the energy acquisition and motion stability of airborne objects in turbulence; solar radiation intensity affects the temperature and airflow within the channel, altering the physical state of airborne objects (such as temperature and flexibility); light transmittance relates to the ability of airborne objects to transmit light. If optical imaging, laser monitoring, and other methods are used, airborne objects with different light transmittance will produce different imaging effects and light obstruction conditions, aiding in the identification of airborne objects and the determination of their material (such as transparent plastic versus opaque fabric). Specifically, the first assessment value The specific calculation formula is as follows: ; In the formula, This is the weighting coefficient for the turbulence effect, and it is a preset value. This is the turbulence exponential factor, which is a preset value. This is the wind speed gradient correction coefficient, which is a preset value. This is the gradient amplification factor, which is a preset value; The intensity of air turbulence; The atmospheric refractive index structure constant; This represents the vegetation disturbance coefficient. The intensity of the atmospheric electric field; The integral scale is for turbulence. Atmospheric turbulence dissipation rate; This represents the instantaneous wind speed gradient; This refers to the surface roughness coefficient. The sound wave attenuation coefficient; The charge density of the cloud layer; This is atmospheric pressure pulsation; Solar radiation intensity; Specifically, the turbulence influence weighting coefficient is key to quantifying the impact of turbulence on drifting objects. The stronger the turbulence, the larger the coefficient, meaning that the disturbance effect of turbulence on the motion of drifting objects is more prominent, making drifting objects more prone to unstable motion and thus increasing the initial risk. The turbulence index factor reflects the nonlinear characteristics of turbulence influence, allowing the impact of turbulence intensity changes on the risk of drifting objects to be quantified more accurately and to better reflect the complexity of actual turbulent environments. The wind speed gradient correction coefficient is used to correct the calculation deviation caused by the difference in wind speed gradients at different heights, ensuring a more accurate assessment of the impact of wind speed gradients. The gradient amplification factor amplifies the impact of wind speed gradients on the risk of drifting objects, highlighting the role of wind speed gradients in the initial motion state and risk of drifting objects in dynamic environmental disturbances. It should be noted that the first assessment value The complex effects of environmental turbulence and wind speed gradients are transformed into quantifiable values ​​to assess the initial risk profile of airborne objects under dynamic environmental disturbances.

[0029] In a preferred embodiment, the motion data of the floating object includes its initial height above the ground; the characteristic data of the floating object includes thermal conductivity and specific heat capacity; the atmospheric material characteristic data includes atmospheric aerosol concentration and air viscosity coefficient; and the surface data also includes soil resistivity and surface heat flux. The calculation of the second evaluation value based on the preset atmospheric substance evaluation formula, the characteristic data of the easily drifting object, the motion data of the easily drifting object, the surface data, and the atmospheric substance characteristic data includes: The second evaluation value is calculated based on the atmospheric substance evaluation formula, the initial height above ground, the thermal conductivity, the specific heat capacity, the atmospheric aerosol concentration, the air viscosity coefficient, the soil resistivity, and the surface heat flux. Specifically, air density affects the calculation of the force exerted by wind on airborne objects and is a fundamental parameter for analyzing the force-induced motion of airborne objects; atmospheric aerosol concentration affects the optical and electromagnetic properties of the atmosphere, indirectly affecting the optical monitoring and electromagnetic environment of airborne objects; surface heat flux reflects the heat exchange between the ground and the atmosphere, changing local atmospheric temperature and airflow, thus affecting the motion of airborne objects; air viscosity coefficient determines the viscous resistance of air to the motion of airborne objects and is a parameter for analyzing the motion state of airborne objects; soil resistivity is related to the ground conductivity, affecting line grounding, electromagnetic environment, and is associated with the electrostatic discharge of airborne objects. Specifically, the initial height above the ground serves as a reference for the starting position of a floating object. Floating objects at higher altitudes are affected by environmental factors such as airflow and electric fields at different altitudes, and the probability distribution of their encounter with the railway line during their fall and drift varies with altitude. Thermal conductivity determines the floating object's ability to conduct heat. Floating objects with high thermal conductivity respond quickly to temperature changes, and their temperature and physical properties (such as flexibility and strength) change significantly under solar radiation and ambient temperature fluctuations, potentially altering their movement and increasing the risk of collision with the railway line. Specific heat capacity reflects the characteristic of a floating object absorbing heat and causing temperature changes. Floating objects with low specific heat capacity experience rapid temperature changes when affected by solar radiation, thus altering their physical state (such as becoming softer or more brittle), affecting their mechanical properties and risk level. Specifically, the second assessment value The specific calculation formula is as follows: ; In the formula, This is a high attenuation factor, set to a preset value; This is the ground reference height compensation value, which is a preset value. This refers to the initial height of a volatile object above the ground. This refers to the concentration of atmospheric aerosols. For surface heat flux; Soil resistivity; The viscosity coefficient of air; Thermal conductivity; Specific heat capacity; Specifically, the height attenuation factor is used to quantify the attenuation or enhancement effect of height changes on the risk of floating objects, so that the environmental differences in the height dimension can be quantified; the ground reference height compensation value uses a certain ground reference height as a reference to compensate for the calculation deviation caused by the difference between the initial height of floating objects and the reference height, so as to ensure that the risk assessment in the height dimension is more consistent and accurate. It should be noted that the second eigenvalue It can accurately transform the differences in atmospheric material characteristics faced by airborne objects at different altitudes into quantifiable risk indicators, thereby supplementing the assessment of airborne object hazards in the altitude dimension and making the judgment of airborne object hazards more comprehensive.

[0030] In a preferred embodiment, the characteristic data of the volatile matter further includes equivalent windward area, surface friction coefficient, acoustic impedance, mass density, moment of inertia, dielectric constant, surface charge density, Poisson's ratio, and magnetic permeability; the atmospheric acoustic and optical data further includes atmospheric visibility; the atmospheric material characteristic data further includes air density and water vapor partial pressure; and the atmospheric electrical activity data further includes electromagnetic scattering cross section. The first hazard characteristic value is calculated by combining the first assessment value, the second assessment value, the characteristic data of the airborne object, the atmospheric acoustic and optical data, the atmospheric material characteristic data, and the atmospheric electrical activity data, including: The first hazard characteristic value is calculated based on the first evaluation value, the second evaluation value, the equivalent windward area, the surface friction coefficient, the acoustic impedance, the mass density, the moment of inertia, the dielectric constant, the surface charge density, the Poisson's ratio, the magnetic permeability, the atmospheric visibility, the air density, the water vapor partial pressure, and the electromagnetic scattering cross section. Schematic diagram: Electromagnetic scattering cross section describes the ability of a floating object to scatter electromagnetic waves, and is a key basis for identifying floating objects using electromagnetic monitoring methods; water vapor partial pressure reflects the water vapor content in the air, affecting air density, humidity, etc., and is related to the moisture absorption and weight changes of floating objects; atmospheric visibility determines the visible range and clarity of floating objects for optical monitoring equipment; equivalent windward area determines the magnitude of wind force experienced by floating objects in the airflow. The larger the area, the more significant the wind force, and the easier it is for the floating object to be carried by the airflow and drift, affecting its trajectory and collision path within the channel. The possibilities are as follows: Mass density relates to the weight and inertia of a floating object; a denser floating object is more difficult to change its motion state. The surface friction coefficient affects the frictional force when a floating object comes into contact with air or other objects (such as power lines or vegetation), determining its energy loss and speed changes during motion. A high friction coefficient results in greater resistance to movement, affecting the floating distance and speed. Moment of inertia reflects the inertia of a floating object rotating around its axis; a small moment of inertia makes it easier for the object to change its posture under airflow disturbances, increasing the complexity of entanglement and collision with power lines. The dielectric constant reflects the polarization characteristics of a floating object in an electric field and interacts with the electric field around the transmission line. A large difference in dielectric constant can cause significant distortion of the electric field distribution, potentially leading to localized electric field concentration that affects the insulation safety of the power line. It can also serve as a basis for electromagnetic monitoring to identify floating objects. Surface charge density determines the accumulation of static electricity on the surface of the floating object. Static electricity can cause the floating object to attract or repel dust, affecting its trajectory and potentially coupling with the electric field of the power line, creating a risk of electrostatic discharge. Acoustic impedance describes the obstacle characteristics of a floating object to sound wave propagation. If... Acoustic monitoring methods can be used to identify volatile objects with different acoustic impedances, as they reflect and transmit sound waves differently. Poisson's ratio reflects the relationship between the lateral and longitudinal deformation of a volatile object under stress, which is related to the shape change of the volatile object after being subjected to stress and affects the contact area and stress distribution when it comes into contact with the line. Permeability describes the magnetization characteristics of volatile objects in a magnetic field. If there is a magnetic field around the transmission line (such as the power frequency magnetic field of an AC line), volatile objects with different permeabilities will be affected by the magnetic field and will have different disturbances to the magnetic field, which can be used as a basis for magnetic field monitoring and identification. Specifically, the first danger characteristic value The specific calculation formula is as follows: ; In the formula, This is the equivalent windward area; The coefficient of surface friction; Acoustic impedance; Mass density; It is the moment of inertia; It is the dielectric constant; The surface charge density; Poisson's ratio; Permeability; Atmospheric visibility; air density; The partial pressure of water vapor; It is the electromagnetic scattering cross section; It should be noted that the first hazard characteristic value is calculated... It can integrate the characteristic data of easily floating objects with environmental parameters, quantify the possibility of easily floating objects undergoing dangerous movements (such as large-scale drifting or uncontrolled collisions with lines) due to external disturbances and their own characteristics in the environment, thereby identifying the dynamic dangerous situation of easily floating objects in transmission line channels and providing key basis for hazard identification; the first hazard characteristic value The higher the value, the more likely the object is to undergo dangerous movements due to external disturbances, such as large-scale drifting or out-of-control collisions, under the current environment and its own characteristics.

[0031] S3. Based on the preset calculation formula for characterizing the interaction between the floating object and the environment, the surface data, the transmission line channel length, the motion data of the floating object, the characteristic data of the floating object, and the atmospheric dynamic data, the probability of the floating object intrusion is calculated. In a preferred embodiment, the motion data of the volatile object further includes its real-time height above the ground; the characteristic data of the volatile object further includes its spectral reflectance, elastic modulus, surface electrostatic voltage, surface roughness, coefficient of thermal expansion, radar cross-section, and transmittance; the atmospheric dynamic data further includes the angle between the power transmission line and the wind direction. The step of calculating the probability of airborne debris intrusion based on a preset formula characterizing the interaction between airborne debris and the environment, the surface data, the transmission line corridor length, the airborne debris's motion data, the airborne debris's characteristic data, and the atmospheric dynamic data includes: The probability of airborne debris intrusion is calculated based on the formula used to characterize the interaction between airborne debris and the environment, the instantaneous wind speed gradient, the vegetation disturbance coefficient, the atmospheric turbulence dissipation rate, the transmission line channel length, the real-time ground clearance, the equivalent windward area, the elastic modulus, the spectral reflectance, the surface electrostatic voltage, the surface roughness, the thermal expansion coefficient, the acoustic impedance, the radar cross-section, the light transmittance, and the angle between the transmission line and the wind direction. To illustrate, the elastic modulus reflects the ability of a floating object to resist deformation. A floating object with a high elastic modulus deforms less under external force, resulting in a more direct impact when colliding with the circuit. The coefficient of thermal expansion relates to the effect of temperature changes on the size of floating objects. In environments with large temperature fluctuations, floating objects with a high coefficient of thermal expansion show significant size changes, potentially altering their spatial relationship with the circuit or causing stress concentration due to deformation. Spectral reflectance affects the identification effectiveness of optical monitoring equipment for floating objects. Different materials of floating objects have different reflectivities for different wavelengths of light; spectral analysis can distinguish the type of floating object and help assess its risk (e.g., the risk difference between metal and plastic materials). Surface electrostatic voltage is a direct reflection of static electricity accumulation on floating objects; high electrostatic voltage... Easily floating objects can easily cause electrostatic discharge with circuits, interfering with circuit operation and even damaging equipment. Radar cross-section reflects the reflectivity of easily floating objects to radar waves and is a key parameter for radar monitoring and identification; objects with larger cross-sections are more easily detected by radar. Surface roughness affects the aerodynamic and electromagnetic scattering characteristics of easily floating objects. Rough surfaces make airflow more prone to turbulence, altering the forces acting on the object and affecting electromagnetic signal reflection, thus interfering with monitoring and identification. Light transmittance relates to the ability of easily floating objects to transmit light. Using optical imaging, laser monitoring, and other methods, objects with different light transmittance will produce different imaging effects and light obstruction, aiding in the identification of easily floating objects and determining their material (e.g., transparent plastic versus opaque fabric). Specifically, the probability of intrusion by easily floating objects. The specific calculation formula is as follows: ; In the formula, The motion coefficient is a preset value. To monitor the start time, To monitor the termination time; This is the high attenuation coefficient, which is a preset value; This indicates the real-time altitude above the ground. is the vegetation attenuation coefficient, which is a preset value; The spectral attenuation coefficient is a preset value. is the turbulence dissipation coefficient, which is a preset value; This is the line spacing correction factor, which is a preset value; This refers to the length of the power transmission line corridor; The angle between the power transmission line and the wind direction; This is the equivalent windward area; It is the elastic modulus; Spectral reflectance; It is the surface electrostatic voltage; For surface roughness; The coefficient of thermal expansion; Acoustic impedance; Radar cross-section; Light transmittance; Specifically, in calculating the probability of intrusion by easily floating objects... At that time, the numerator first integrates the instantaneous wind speed gradient during the monitoring period (from start time t0 to end time t1) through integral calculation. and combined with the index term Among them, the height attenuation coefficient Real-time height of easily floating objects off the ground The combination of these factors demonstrates the attenuation effect of different altitude layers on wind speed gradients; vegetation attenuation coefficient. Spectral attenuation coefficient Turbulent dissipation coefficient By correlating the environmental disturbances caused by vegetation, spectrum, and turbulence, these exponential terms collectively construct a correction factor for the environmental impact on wind speed gradients, allowing the integral results to reflect the cumulative effect of the effective wind speed gradient during the monitoring period after environmental attenuation. Subsequently, the molecule introduces the equivalent windward area of ​​easily drifting matter. Elastic modulus Thermal conductivity Surface electrostatic voltage Surface roughness From the dimensions of the force-bearing area, mechanical properties, thermal properties, electrostatic and surface properties of the floating object itself, we quantify the motion potential of the floating object under the influence of its own characteristics and when it is pushed in the environment. The denominator focuses on the constraints of the line and the environment, including the line spacing correction factor. Length of monitoring section Angle between the line and the wind direction Coefficient of thermal expansion Acoustic impedance Radar cross-section Light transmittance From the dimensions of line layout (spacing, length, angle), thermal (coefficient of thermal expansion), acoustic (acoustic impedance), electromagnetic (radar cross-section), and optical (transmittance), the obstacles and constraints of the line on the intrusion of easily drifting objects are constructed, reflecting the ability of the line's own properties and spatial layout to limit the intrusion of easily drifting objects; the probability of easily drifting object intrusion is obtained through ratio calculation. , The higher the value, the more likely the floating object is to intrude into the space of the transmission line under the current environment, the characteristics of the floating object, and the line layout.

[0032] S4. Based on the first hazard characteristic value, the probability of intrusion of easily drifting objects, the surface data, the atmospheric acoustic and optical data, the atmospheric dynamic data, the atmospheric material characteristic data, and the atmospheric electrical activity data, calculate the easily drifting object hazard assessment value; In a preferred embodiment, the atmospheric acoustic-optic data further includes the acoustic attenuation coefficient and the atmospheric refractive index structure constant; the atmospheric dynamic data further includes the air turbulence intensity and atmospheric pressure fluctuations. The assessment value for the potential hazard of floating debris is calculated based on the first hazard characteristic value, the probability of intrusion of the floating debris, the surface data, the atmospheric acoustic and optical data, the atmospheric dynamic data, the atmospheric material characteristic data, and the atmospheric electrical activity data, including: The initial risk assessment reference value is calculated based on the atmospheric aerosol concentration, the electromagnetic scattering cross section, the cloud charge density, the water vapor partial pressure, the atmospheric visibility, the surface heat flux, the turbulence integral scale, the atmospheric turbulence dissipation rate, the air viscosity coefficient, and the soil resistivity. The risk assessment value for easily drifting objects is calculated based on the initial risk assessment reference value, the first hazard characteristic value, the probability of easily drifting object intrusion, the sound wave attenuation coefficient, the atmospheric refractive index structure constant, the air turbulence intensity, the atmospheric electric field intensity, the atmospheric pressure pulsation, and the solar radiation intensity. Specifically, the initial risk assessment reference value The specific calculation formula is as follows: ; In the formula, Here is the aerosol influence coefficient, which is a preset value; Specifically, in calculating the initial risk assessment reference value hour, Focusing on the impact of environmental aerosols and related parameters, the aerosol influence coefficient As a core weight, it measures the degree of aerosols' intervention in overall potential hazards; atmospheric aerosol concentration. Electromagnetic scattering cross section reflects the number of aerosol particles in the air. Cloud charge density reflects the ability of aerosol particles to scatter electromagnetic waves. Related to cloud charge distribution and water vapor partial pressure Affects air humidity and atmospheric visibility The optical visible range is determined by these parameters, which range from the physical distribution and electromagnetic properties of aerosols to related dimensions such as atmospheric humidity and visibility. These parameters constitute the interference factors of aerosols on the environment. When combined with the aerosol influence coefficient, the incremental or corrective effects of aerosols on basic hazards are reflected through additive calculation. Specifically, This focuses on surface and thermal parameters; surface heat flux. Reflects the intensity of heat exchange between the ground and the atmosphere; turbulent integral scale. Characteristic dimensions describing the structure of turbulent large eddies, air viscosity coefficient Viscous resistance of air to motion, soil resistivity These parameters relate to the surface's electrical conductivity; from aspects such as surface energy exchange and turbulence characteristics to air resistance, surface conductivity, and thermal deformation, they construct the constraints or driving factors of the surface and thermal environment on potential hazards. Through square root calculations, the complex interaction between the surface and thermal processes is transformed into a nonlinear correction term for the basic hazards, reflecting the potential for hazards driven by the surface and thermal environment; initial risk assessment reference values. As an assessment value for potential hazards from easily floating objects This serves as a baseline reference, representing the initial quantification of the potential hazards of airborne particles in a scenario dominated by aerosols, the ground surface, and the thermal environment.

[0033] Specifically, the assessment value of the hazard of easily floating objects. The specific calculation formula is as follows: ; In the formula, The environmental coupling coefficient is a preset value. Specifically, the formula in this application calculates the first hazardous characteristic value. and the probability of easy-to-float objects intruding Based on this, an environmental coupling coefficient is introduced. Atmospheric refractive index structure constant air turbulence intensity Sound wave attenuation coefficient Atmospheric electric field strength Atmospheric pressure pulsation Solar radiation intensity Construct the exponential correction term These environmental parameters quantify the complex interactive characteristics of the environment in which airborne objects reside, from dimensions such as atmospheric optics (refractive index structure constant), turbulence (air turbulence intensity), vegetation (vegetation interference coefficient), electric field (atmospheric electric field intensity), air pressure (atmospheric pressure pulsation), and energy input (solar radiation intensity). The environmental coupling coefficient, as a weight, measures the amplification or correction effect on the potential hazards of airborne objects when these environmental factors work together. Through exponential calculation, it reflects how environmental factors exacerbate or alleviate the degree of potential hazards of airborne objects. The sound wave attenuation coefficient mainly quantifies the degree of energy attenuation of sound during propagation due to environmental factors (such as air, vegetation, obstacles, etc.). In the scenario of identifying potential hazards of airborne objects, it can help determine the interference of airborne objects on the propagation of sound waves, thereby reflecting the existence form, distribution density, and other characteristics of airborne objects. It provides an acoustic reference for assessing the dynamic changes and degree of potential hazards of airborne objects in the environment, improves the quantification of the complex interactive characteristics of the environment in which airborne objects reside, and helps to more comprehensively identify potential hazards of airborne objects in power transmission line channels. The higher the value, the greater the risk of safety hazards to power transmission lines under the current characteristics of easily floating objects, spatial behavior, and environmental interactions.

[0034] S5. Determine the risk status of the transmission line based on the assessment value of the hazard of easily floating objects; Specifically, the final calculated assessment value of the hazard of easily floating objects will be... The risk level of the transmission line is determined by comparing the value with a preset hazard assessment threshold: if the hazard assessment value is not less than the preset hazard assessment threshold, it is determined that the hazard has posed a safety hazard to the transmission line and may cause a transmission line failure; if the hazard assessment value is less than the preset hazard assessment threshold, it is determined that the hazard does not currently pose a significant safety threat and the transmission line is in a safe operating state, requiring continuous dynamic monitoring. It should be noted that the preset hazard assessment threshold is an empirical value based on the voltage level of the transmission line, the complexity of the channel environment, historical fault data, and operation and maintenance experience. It can be dynamically adjusted and optimized according to the operating characteristics of transmission lines in different regions, the distribution of easily drifting objects, and the safety requirements of the power grid to ensure the accuracy and adaptability of risk assessment.

[0035] See Figure 2 This invention provides a transmission line risk assessment device according to an embodiment of the present invention, comprising: The data acquisition module is used to collect characteristic data of the floating objects, motion data of the floating objects, atmospheric dynamic data, atmospheric acoustic and optical data, atmospheric electrical activity data, atmospheric material characteristic data, and surface data when the presence of floating objects is detected at the transmission line channel. The first calculation module is used to calculate a first hazard characteristic value based on a preset atmospheric environment assessment formula, a preset atmospheric substance assessment formula, characteristic data of the airborne object, motion data of the airborne object, atmospheric dynamic data, atmospheric acoustic and optical data, atmospheric electrical activity data, atmospheric substance characteristic data, and surface data. The second calculation module is used to calculate the probability of airborne object intrusion based on a preset calculation formula for characterizing the interaction between airborne objects and the environment, the surface data, the length of the power transmission line channel, the motion data of the airborne object, the characteristic data of the airborne object, and the atmospheric dynamic data. The third calculation module is used to calculate the hazardous material hazard assessment value based on the first hazard characteristic value, the probability of the intrusion of the floating object, the surface data, the atmospheric acoustic and optical data, the atmospheric dynamic data, the atmospheric material characteristic data, and the atmospheric electrical activity data. The assessment module is used to determine the risk status of the transmission line based on the assessment value of the hazard caused by the floating debris.

[0036] See Figure 3 One embodiment of this application also provides a terminal device, including: One or more processors; A memory, coupled to the processor, for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the transmission line risk assessment method as described above.

[0037] The processor controls the overall operation of the terminal device to complete all or part of the steps of the aforementioned transmission line risk assessment method. The memory stores various types of data to support the operation of the terminal device. This data may include, for example, instructions for any application or method used to operate on the terminal device, as well as application-related data. The memory can be implemented using any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0038] In an exemplary embodiment, the terminal device may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the transmission line risk assessment method as described in any of the foregoing embodiments and achieve the same technical effects as the methods described above.

[0039] In another exemplary embodiment, a computer-readable storage medium including a computer program is also provided. When executed by a processor, the computer program implements the steps of the transmission line risk assessment method as described in any of the above embodiments. For example, the computer-readable storage medium may be the aforementioned memory including the computer program, which may be executed by a processor of a terminal device to complete the transmission line risk assessment method as described in any of the above embodiments and achieve the same technical effects as the described method.

[0040] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for risk assessment of transmission lines, characterized in that, include: When easily drifting objects are identified at the transmission line corridor, the following data are collected: characteristic data of the easily drifting objects, motion data of the easily drifting objects, atmospheric dynamic data, atmospheric acoustic and optical data, atmospheric electrical activity data, atmospheric material characteristic data, and surface data of the transmission line corridor length and geographical location of the transmission line corridor. The first hazard characteristic value is calculated based on the preset atmospheric environment assessment formula, the preset atmospheric substance assessment formula, the characteristic data of the easily floating object, the motion data of the easily floating object, the atmospheric dynamic data, the atmospheric acoustic and optical data, the atmospheric electrical activity data, the atmospheric substance characteristic data, and the surface data. The probability of airborne object intrusion is calculated based on a preset formula for characterizing the interaction between airborne objects and the environment, the surface data, the length of the power transmission line channel, the motion data of the airborne objects, the characteristic data of the airborne objects, and the atmospheric dynamic data. The hazardous material hazard assessment value is calculated based on the first hazard characteristic value, the probability of intrusion of the floating object, the surface data, the atmospheric acoustic and optical data, the atmospheric dynamic data, the atmospheric material characteristic data, and the atmospheric electrical activity data. The risk status of the transmission line is determined based on the assessment value of the hazard caused by easily floating objects.

2. The transmission line risk assessment method as described in claim 1, characterized in that, The calculation of the first hazard characteristic value based on the preset atmospheric environment assessment formula, the preset atmospheric substance assessment formula, the characteristic data of the easily drifting objects, the motion data of the easily drifting objects, the atmospheric dynamic data, the atmospheric acoustic and optical data, the atmospheric electrical activity data, the atmospheric substance characteristic data, and the surface data includes: The first assessment value is calculated based on the preset atmospheric environment assessment formula, the atmospheric dynamic data, the atmospheric acoustic and optical data, the atmospheric electrical activity data, and the surface data. The second evaluation value is calculated based on the preset atmospheric substance evaluation formula, the characteristic data of the easily floating object, the motion data of the easily floating object, the surface data, and the atmospheric substance characteristic data. By combining the first assessment value, the second assessment value, the characteristic data of the airborne object, the atmospheric acoustic and optical data, the atmospheric material characteristic data, and the atmospheric electrical activity data, a first hazard characteristic value is calculated.

3. The transmission line risk assessment method as described in claim 2, characterized in that, The atmospheric dynamic data includes air turbulence intensity, turbulence integral scale, atmospheric turbulence dissipation rate, instantaneous wind speed gradient, and atmospheric pressure fluctuations; the atmospheric acoustic and optical data includes atmospheric refractive index structure constant, sound wave attenuation coefficient, and solar radiation intensity; the atmospheric electrical activity data includes atmospheric electric field intensity and cloud charge density; and the surface data includes vegetation disturbance coefficient and ground roughness coefficient. The calculation of the first evaluation value based on the preset atmospheric environment assessment formula, the atmospheric dynamic data, the atmospheric acoustic and optical data, the atmospheric electrical activity data, and the surface data includes: The first evaluation value is calculated based on the atmospheric environment assessment formula, the air turbulence intensity, the turbulence integral scale, the atmospheric turbulence dissipation rate, the instantaneous wind speed gradient, the atmospheric pressure fluctuation, the atmospheric refractive index structure constant, the sound wave attenuation coefficient, the solar radiation intensity, the atmospheric electric field intensity, the cloud charge density, the vegetation disturbance coefficient, and the ground roughness coefficient.

4. The transmission line risk assessment method as described in claim 3, characterized in that, The motion data of the easily floating object includes its initial height above the ground; the characteristic data of the easily floating object includes its thermal conductivity and specific heat capacity; the characteristic data of atmospheric substances includes atmospheric aerosol concentration and air viscosity coefficient; the surface data also includes soil resistivity and surface heat flux. The calculation of the second evaluation value based on the preset atmospheric substance evaluation formula, the characteristic data of the easily drifting object, the motion data of the easily drifting object, the surface data, and the atmospheric substance characteristic data includes: The second evaluation value is calculated based on the atmospheric substance evaluation formula, the initial height above ground, the thermal conductivity, the specific heat capacity, the atmospheric aerosol concentration, the air viscosity coefficient, the soil resistivity, and the surface heat flux.

5. The transmission line risk assessment method as described in claim 4, characterized in that, The characteristic data of the easily drifting objects also include equivalent windward area, surface friction coefficient, acoustic impedance, mass density, moment of inertia, dielectric constant, surface charge density, Poisson's ratio, and magnetic permeability; the atmospheric acoustic and optical data also include atmospheric visibility; the atmospheric material characteristic data also include air density and water vapor partial pressure; the atmospheric electrical activity data also includes electromagnetic scattering cross section; The first hazard characteristic value is calculated by combining the first assessment value, the second assessment value, the characteristic data of the airborne object, the atmospheric acoustic and optical data, the atmospheric material characteristic data, and the atmospheric electrical activity data, including: The first hazard characteristic value is calculated based on the first evaluation value, the second evaluation value, the equivalent windward area, the surface friction coefficient, the acoustic impedance, the mass density, the moment of inertia, the dielectric constant, the surface charge density, the Poisson's ratio, the magnetic permeability, the atmospheric visibility, the air density, the water vapor partial pressure, and the electromagnetic scattering cross section.

6. The transmission line risk assessment method as described in claim 5, characterized in that, The motion data of the easily floating object also includes its real-time height above the ground; the characteristic data of the easily floating object also includes its spectral reflectance, elastic modulus, surface electrostatic voltage, surface roughness, coefficient of thermal expansion, radar cross-section, and transmittance; the atmospheric dynamic data also includes the angle between the power transmission line and the wind direction. The step of calculating the probability of airborne debris intrusion based on a preset formula characterizing the interaction between airborne debris and the environment, the surface data, the transmission line corridor length, the airborne debris's motion data, the airborne debris's characteristic data, and the atmospheric dynamic data includes: The probability of airborne debris intrusion is calculated based on the formula used to characterize the interaction between airborne debris and the environment, the instantaneous wind speed gradient, the vegetation disturbance coefficient, the atmospheric turbulence dissipation rate, the transmission line channel length, the real-time ground clearance, the equivalent windward area, the elastic modulus, the spectral reflectance, the surface electrostatic voltage, the surface roughness, the thermal expansion coefficient, the acoustic impedance, the radar cross-section, the light transmittance, and the angle between the transmission line and the wind direction.

7. The transmission line risk assessment method as described in claim 6, characterized in that, The atmospheric acoustic-optic data also includes the sound wave attenuation coefficient and the atmospheric refractive index structure constant; the atmospheric dynamic data also includes the air turbulence intensity and atmospheric pressure fluctuations. The assessment value for the potential hazard of floating debris is calculated based on the first hazard characteristic value, the probability of intrusion of the floating debris, the surface data, the atmospheric acoustic and optical data, the atmospheric dynamic data, the atmospheric material characteristic data, and the atmospheric electrical activity data, including: The initial risk assessment reference value is calculated based on the atmospheric aerosol concentration, the electromagnetic scattering cross section, the cloud charge density, the water vapor partial pressure, the atmospheric visibility, the surface heat flux, the turbulence integral scale, the atmospheric turbulence dissipation rate, the air viscosity coefficient, and the soil resistivity. The risk assessment value for easily drifting objects is calculated based on the initial risk assessment reference value, the first hazard characteristic value, the probability of intrusion of easily drifting objects, the sound wave attenuation coefficient, the atmospheric refractive index structure constant, the air turbulence intensity, the atmospheric electric field intensity, the atmospheric pressure pulsation, and the solar radiation intensity.

8. A transmission line risk assessment device, characterized in that, include: The data acquisition module is used to collect characteristic data of the floating objects, motion data of the floating objects, atmospheric dynamic data, atmospheric acoustic and optical data, atmospheric electrical activity data, atmospheric material characteristic data, and surface data when the presence of floating objects is detected at the transmission line channel. The first calculation module is used to calculate a first hazard characteristic value based on a preset atmospheric environment assessment formula, a preset atmospheric substance assessment formula, characteristic data of the airborne object, motion data of the airborne object, atmospheric dynamic data, atmospheric acoustic and optical data, atmospheric electrical activity data, atmospheric substance characteristic data, and surface data. The second calculation module is used to calculate the probability of airborne object intrusion based on a preset calculation formula for characterizing the interaction between airborne objects and the environment, the surface data, the length of the power transmission line channel, the motion data of the airborne object, the characteristic data of the airborne object, and the atmospheric dynamic data. The third calculation module is used to calculate the hazardous material hazard assessment value based on the first hazard characteristic value, the probability of the intrusion of the floating object, the surface data, the atmospheric acoustic and optical data, the atmospheric dynamic data, the atmospheric material characteristic data, and the atmospheric electrical activity data. The assessment module is used to determine the risk status of the transmission line based on the assessment value of the hazard caused by the floating debris.

9. A terminal device, characterized in that, include: One or more processors; A memory, coupled to the processor, for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the transmission line risk assessment method as described in any one of claims 1-7.

10. A storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the transmission line risk assessment method as described in any one of claims 1-7.

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